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propeller_xnli_demo.ipynb 1.2 MB
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import numpy as np\n",
    "import re\n",
    "import logging\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "env: CUDA_VICIBLE_DEVICES=0\n"
     ]
    }
   ],
   "source": [
    "sys.path.append('./')\n",
    "%env CUDA_VICIBLE_DEVICES=0\n",
    "# if CUDA_VICIBLE_DEVICES is changed, relaunch jupyter kernel to inform paddle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import propeller.paddle as propeller\n",
    "import paddle\n",
    "import paddle.fluid as F\n",
    "import paddle.fluid.layers as L\n",
    "#import model defenition from original ERNIE\n",
    "from model.ernie import ErnieModel\n",
    "from tokenization import FullTokenizer\n",
    "from optimization import optimization\n",
    "from propeller import log\n",
    "log.setLevel(logging.DEBUG)\n",
    "\n",
    "if paddle.__version__ not in ['1.5.1', '1.5.2']:\n",
    "    raise RuntimeError('propeller works in paddle1.5.1')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘ernie1.0_pretrained’: File exists\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "# download pretrained model&config(ernie1.0) and xnli data\n",
    "mkdir ernie1.0_pretrained\n",
    "if [ ! -f ernie1.0_pretrained/ERNIE_stable-1.0.1.tar.gz ]\n",
    "then\n",
    "    echo \"download model\"\n",
    "    wget --no-check-certificate https://baidu-nlp.bj.bcebos.com/ERNIE_stable-1.0.1.tar.gz -P ernie1.0_pretrained\n",
    "fi\n",
    "\n",
    "if [ ! -f task_data_zh.tgz ]\n",
    "then\n",
    "    echo \"download data\"\n",
    "    wget --no-check-certificate https://ernie.bj.bcebos.com/task_data_zh.tgz\n",
    "fi\n",
    "\n",
    "tar xzf ernie1.0_pretrained/ERNIE_stable-1.0.1.tar.gz -C ernie1.0_pretrained\n",
    "tar xzf task_data_zh.tgz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define basic training settings\n",
    "EPOCH=3\n",
    "BATCH=16\n",
    "LR=5e-3\n",
    "MAX_SEQLEN=128\n",
    "TASK_DATA='./task_data/'\n",
    "MODEL='./ernie1.0_pretrained/'\n",
    "OUTPUT_DIR='./output'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "!rm -rf {OUTPUT_DIR}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘xnli_data’: File exists\n",
      "mkdir: cannot create directory ‘xnli_data/train’: File exists\n",
      "mkdir: cannot create directory ‘xnli_data/test’: File exists\n",
      "mkdir: cannot create directory ‘xnli_data/dev’: File exists\n",
      "392702\n",
      "2490\n",
      "5010\n"
     ]
    }
   ],
   "source": [
    "#skip header, and reorganize train data into ./xnli_data \n",
    "!mkdir xnli_data\n",
    "!mkdir xnli_data/train\n",
    "!mkdir xnli_data/test\n",
    "!mkdir xnli_data/dev\n",
    "\n",
    "def remove_header_and_save(fname_in, fname_out):\n",
    "    with open(fname_out, 'w') as fout:\n",
    "        buf = open(fname_in).readlines()[1:]\n",
    "        for i in buf:\n",
    "            fout.write(i)\n",
    "        return len(buf)\n",
    "train_data_size = remove_header_and_save(TASK_DATA + '/xnli/train.tsv', './xnli_data/train/part.0') \n",
    "dev_data_size = remove_header_and_save(TASK_DATA + '/xnli/dev.tsv', './xnli_data/dev/part.0') \n",
    "test_data_size = remove_header_and_save(TASK_DATA + '/xnli/test.tsv', './xnli_data/test/part.0') \n",
    "print(train_data_size)\n",
    "print(dev_data_size)\n",
    "print(test_data_size)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['今', '天', '很', '热']\n",
      "['cod', '##ing', 'in', 'pad', '##d', '##le', 'is', 'cool']\n",
      "['[', 'cl', '##s', '[UNK]', 'i', 'have', 'an', 'pen']\n"
     ]
    }
   ],
   "source": [
    "tokenizer = FullTokenizer(MODEL + 'vocab.txt')\n",
    "vocab = {j.strip().split('\\t')[0]: i for i, j in enumerate(open(MODEL + 'vocab.txt', encoding='utf8'))}\n",
    "\n",
    "print(tokenizer.tokenize('今天很热'))\n",
    "print(tokenizer.tokenize('coding in paddle is cool'))\n",
    "print(tokenizer.tokenize('[CLS]i have an pen')) # note: special token like [CLS], will be segmented, so please add these id after tokenization.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`propeller.data.FeatureColumns` defines the data schema in every data file.\n",
    "\n",
    "our data consist of 3 columns: seg_a, seg_b, label. with \"\\t\" as delemeter.\n",
    "\n",
    "`TextColumn` will do 3 things for you: \n",
    "\n",
    "1. tokenize input sentence with user-defined `tokenizer_func`\n",
    "2. vocab lookup\n",
    "3. serialize to protobuf bin file (optional)\n",
    "\n",
    "data file is organized into following patten:\n",
    "\n",
    "```script\n",
    "./xnli_data\n",
    "|-- dev\n",
    "|   `-- part.0\n",
    "|-- test\n",
    "|   `-- part.0\n",
    "|-- train\n",
    "   `-- part.0\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "sep_id = vocab['[SEP]']\n",
    "cls_id = vocab['[CLS]']\n",
    "unk_id = vocab['[UNK]']\n",
    "\n",
    "label_map = {\n",
    "    b\"contradictory\": 0,\n",
    "    b\"contradiction\": 0,\n",
    "    b\"entailment\": 1,\n",
    "    b\"neutral\": 2,\n",
    "}\n",
    "def tokenizer_func(inputs):\n",
    "    ret = tokenizer.tokenize(inputs) #`tokenize` will conver bytes to str, so we use a str vocab\n",
    "    return ret\n",
    "\n",
    "feature_column = propeller.data.FeatureColumns([\n",
    "    propeller.data.TextColumn('title', unk_id=unk_id, vocab_dict=vocab, tokenizer=tokenizer_func),\n",
    "    propeller.data.TextColumn('comment', unk_id=unk_id, vocab_dict=vocab, tokenizer=tokenizer_func),\n",
    "    propeller.data.LabelColumn('label', vocab_dict=label_map), #be careful, Columns deal with python3 bytes directly.\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## trian model in propeller can be defined in 2 ways:\n",
    "1. subclass of `propeller.train.Model` which implements:\n",
    "    1. `__init__`           (hyper_param, mode, run_config)\n",
    "    2. `forward`            (features) => (prediction)\n",
    "    3. `backword`           (loss) => None\n",
    "    4. `loss`               (predictoin) => (loss)\n",
    "    5. `metrics` (optional) (prediction) => (dict of propeller.Metrics)\n",
    "    \n",
    "2. a callable takes following args:\n",
    "    1. features\n",
    "    2. param\n",
    "    3. mode\n",
    "    4. run_config(optional)\n",
    "    \n",
    "   and returns a propeller.ModelSpec\n",
    "   \n",
    "we use the subclasss approch here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ClassificationErnieModel(propeller.train.Model):\n",
    "    def __init__(self, hparam, mode, run_config):\n",
    "        self.hparam = hparam\n",
    "        self.mode = mode\n",
    "        self.run_config = run_config\n",
    "\n",
    "    def forward(self, features):\n",
    "        src_ids, sent_ids = features\n",
    "        dtype = 'float16' if self.hparam['fp16'] else 'float32'\n",
    "        zero = L.fill_constant([1], dtype='int64', value=0)\n",
    "        input_mask = L.cast(L.equal(src_ids, zero), dtype) # assume pad id == 0\n",
    "        #input_mask = L.unsqueeze(input_mask, axes=[2])\n",
    "        d_shape = L.shape(src_ids)\n",
    "        seqlen = d_shape[1]\n",
    "        batch_size = d_shape[0]\n",
    "        pos_ids = L.unsqueeze(L.range(0, seqlen, 1, dtype='int32'), axes=[0])\n",
    "        pos_ids = L.expand(pos_ids, [batch_size, 1])\n",
    "        pos_ids = L.unsqueeze(pos_ids, axes=[2])\n",
    "        pos_ids = L.cast(pos_ids, 'int64')\n",
    "        pos_ids.stop_gradient = True\n",
    "        input_mask.stop_gradient = True\n",
    "        task_ids = L.zeros_like(src_ids) + self.hparam.task_id #this shit wont use at the moment\n",
    "        task_ids.stop_gradient = True\n",
    "\n",
    "        ernie = ErnieModel(\n",
    "            src_ids=src_ids,\n",
    "            position_ids=pos_ids,\n",
    "            sentence_ids=sent_ids,\n",
    "            task_ids=task_ids,\n",
    "            input_mask=input_mask,\n",
    "            config=self.hparam,\n",
    "            use_fp16=self.hparam['fp16']\n",
    "        )\n",
    "\n",
    "        cls_feats = ernie.get_pooled_output()\n",
    "\n",
    "        cls_feats = L.dropout(\n",
    "            x=cls_feats,\n",
    "            dropout_prob=0.1,\n",
    "            dropout_implementation=\"upscale_in_train\"\n",
    "        )\n",
    "\n",
    "        logits = L.fc(\n",
    "            input=cls_feats,\n",
    "            size=self.hparam['num_label'],\n",
    "            param_attr=F.ParamAttr(\n",
    "                name=\"cls_out_w\",\n",
    "                initializer=F.initializer.TruncatedNormal(scale=0.02)),\n",
    "            bias_attr=F.ParamAttr(\n",
    "                name=\"cls_out_b\", initializer=F.initializer.Constant(0.))\n",
    "        )\n",
    "\n",
    "        propeller.summary.histogram('pred', logits)\n",
    "\n",
    "        if self.mode is propeller.RunMode.PREDICT:\n",
    "            probs = L.softmax(logits)\n",
    "            return probs\n",
    "        else:\n",
    "            return logits\n",
    "\n",
    "    def loss(self, predictions, labels):\n",
    "        ce_loss, probs = L.softmax_with_cross_entropy(\n",
    "            logits=predictions, label=labels, return_softmax=True)\n",
    "        #L.Print(ce_loss, message='per_example_loss')\n",
    "        loss = L.mean(x=ce_loss)\n",
    "        return loss\n",
    "\n",
    "    def backward(self, loss):\n",
    "        scheduled_lr, loss_scale = optimization(\n",
    "            loss=loss,\n",
    "            warmup_steps=int(self.run_config.max_steps * self.hparam['warmup_proportion']),\n",
    "            num_train_steps=self.run_config.max_steps,\n",
    "            learning_rate=self.hparam['learning_rate'],\n",
    "            train_program=F.default_main_program(),\n",
    "            startup_prog=F.default_startup_program(),\n",
    "            weight_decay=self.hparam['weight_decay'],\n",
    "            scheduler=\"linear_warmup_decay\",)\n",
    "        propeller.summary.scalar('lr', scheduled_lr)\n",
    "\n",
    "    def metrics(self, predictions, label):\n",
    "        predictions = L.argmax(predictions, axis=1)\n",
    "        predictions = L.unsqueeze(predictions, axes=[1])\n",
    "        acc = propeller.metrics.Acc(label, predictions)\n",
    "        #auc = propeller.metrics.Auc(label, predictions)\n",
    "        return {'acc': acc}\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define some utility function.\n",
    "\n",
    "def build_2_pair(seg_a, seg_b):\n",
    "    token_type_a = np.ones_like(seg_a, dtype=np.int64) * 0\n",
    "    token_type_b = np.ones_like(seg_b, dtype=np.int64) * 1\n",
    "    sen_emb = np.concatenate([[cls_id], seg_a, [sep_id], seg_b, [sep_id]], 0)\n",
    "    token_type_emb = np.concatenate([[0], token_type_a, [0], token_type_b, [1]], 0)\n",
    "    #seqlen = sen_emb.shape[0]\n",
    "    #deteministic truncate\n",
    "    sen_emb = sen_emb[0: MAX_SEQLEN]\n",
    "    token_type_emb = token_type_emb[0: MAX_SEQLEN]\n",
    "    return sen_emb, token_type_emb\n",
    "\n",
    "def expand_dims(*args):\n",
    "    func = lambda i: np.expand_dims(i, -1)\n",
    "    ret = [func(i) for i in args]\n",
    "    return ret\n",
    "\n",
    "def before_pad(seg_a, seg_b, label):\n",
    "    sentence, segments = build_2_pair(seg_a, seg_b)\n",
    "    return sentence, segments, label\n",
    "\n",
    "def after_pad(sentence, segments, label):\n",
    "    sentence, segments, label = expand_dims(sentence, segments, label)\n",
    "    return sentence, segments, label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-18 16:26:51,230 [feature_column.py:  266]:\treading raw files from ./xnli_data/train/part.0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:51,232 [feature_column.py:  266]:\treading raw files from ./xnli_data/dev/part.0\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# a `propeller.paddle.data.Dataset` is built from FeatureColumns\n",
    "\n",
    "train_ds = feature_column.build_dataset('train', use_gz=False, data_dir='./xnli_data/train', shuffle=True, repeat=True) \\\n",
    "                               .map(before_pad) \\\n",
    "                               .padded_batch(BATCH, (0, 0, 0)) \\\n",
    "                               .map(after_pad)\n",
    "\n",
    "dev_ds = feature_column.build_dataset('dev', use_gz=False, data_dir='./xnli_data/dev', shuffle=False, repeat=False) \\\n",
    "                               .map(before_pad) \\\n",
    "                               .padded_batch(BATCH, (0, 0, 0)) \\\n",
    "                               .map(after_pad)\n",
    "\n",
    "shapes = ([-1, MAX_SEQLEN, 1], [-1, MAX_SEQLEN, 1], [-1, 1])\n",
    "types = ('int64', 'int64', 'int64')\n",
    "train_ds.data_shapes = shapes\n",
    "train_ds.data_types = types\n",
    "dev_ds.data_shapes = shapes\n",
    "dev_ds.data_types = types\n",
    "\n",
    "warm_start_dir = MODEL + '/params'\n",
    "# only the encoder and embedding is loaded from pretrained model\n",
    "varname_to_warmstart = re.compile('^encoder.*w_0$|^encoder.*b_0$|^.*embedding$|^.*bias$|^.*scale$')\n",
    "ws = propeller.WarmStartSetting(\n",
    "        predicate_fn=lambda v: varname_to_warmstart.match(v.name) and os.path.exists(os.path.join(warm_start_dir, v.name)),\n",
    "        from_dir=warm_start_dir\n",
    "    )\n",
    "\n",
    "# propeller will export model of highest performance, the criteria is up to you. \n",
    "# here we pick the model with maximum evaluatoin accuracy.\n",
    "#`BestInferenceModelExporter` is used to export serveable models\n",
    "best_inference_exporter = propeller.train.exporter.BestInferenceModelExporter(\n",
    "    os.path.join(OUTPUT_DIR, 'best'), \n",
    "    cmp_fn=lambda old, new: new['eval']['acc'] > old['eval']['acc'])\n",
    "#`BestExporter` is used to export restartable checkpoint, so that we can restore from it and check test-set accuracy.\n",
    "best_exporter = propeller.train.exporter.BestExporter(\n",
    "    os.path.join(OUTPUT_DIR, 'best_model'), \n",
    "    cmp_fn=lambda old, new: new['eval']['acc'] > old['eval']['acc'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ERNIE1.0 config \n",
    "ernie_config = propeller.HParams(**json.loads(open(MODEL + '/ernie_config.json').read()))\n",
    "\n",
    "# default term in official config\n",
    "ernie_v2_config = propeller.HParams(**{\n",
    "    \"sent_type_vocab_size\": None,  \n",
    "    \"use_task_id\": False,\n",
    "    \"task_id\": 0,\n",
    "})\n",
    "\n",
    "# train schema\n",
    "train_config = propeller.HParams(**{  \n",
    "      \"warmup_proportion\":  0.1,\n",
    "      \"weight_decay\": 0.01,\n",
    "      \"fp16\": 0,\n",
    "      \"learning_rate\": 0.00005,\n",
    "      \"num_label\": 3,\n",
    "      \"batch_size\": 32\n",
    "})\n",
    "\n",
    "config = ernie_config.join(ernie_v2_config).join(train_config)\n",
    "\n",
    "run_config = propeller.RunConfig(\n",
    "    model_dir=OUTPUT_DIR,\n",
    "    max_steps=EPOCH * train_data_size / BATCH,\n",
    "    skip_steps=10,\n",
    "    eval_steps=1000,\n",
    "    save_steps=1000,\n",
    "    log_steps=10,\n",
    "    max_ckpt=3\n",
    ")\n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finetune and Eval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ab9693a920d448fcad8a104c193316b5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=73631), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-18 16:26:51,288 [  trainer.py:  218]:\tBuilding Eval Graph\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:51,889 [  trainer.py:  222]:\tDone\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:51,925 [  trainer.py:  226]:\tEval with: \n",
      "> Run_config: RunConfig(model_dir='./output', run_steps=None, max_steps=73631.625, save_steps=1000, eval_steps=1000, eval_max_steps=None, skip_steps=10, log_steps=10, max_ckpt=3, shit=None)\n",
      "> Params: {'attention_probs_dropout_prob': 0.1, 'hidden_act': 'relu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'max_position_embeddings': 513, 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 18000, 'sent_type_vocab_size': None, 'use_task_id': False, 'task_id': 0, 'warmup_proportion': 0.1, 'weight_decay': 0.01, 'fp16': 0, 'learning_rate': 5e-05, 'num_label': 3, 'batch_size': 32}\n",
      "> Train_model_spec: ModelSpec(loss=name: \"mean_0.tmp_0\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: FP32\n",
      "      dims: 1\n",
      "    }\n",
      "  }\n",
      "}\n",
      "persistable: false\n",
      ", predictions=[name: \"fc_73.tmp_1\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: FP32\n",
      "      dims: -1\n",
      "      dims: 3\n",
      "    }\n",
      "    lod_level: 0\n",
      "  }\n",
      "}\n",
      "persistable: true\n",
      "], metrics={'acc': <propeller.paddle.train.metrics.Acc object at 0x7fbf861ecd30>, 'loss': <propeller.paddle.train.metrics.Mean object at 0x7fbf860c44a8>}, mode=3, inference_spec=InferenceSpec(inputs=[name: \"eval_placeholder_0\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: INT64\n",
      "      dims: -1\n",
      "      dims: 128\n",
      "      dims: 1\n",
      "    }\n",
      "    lod_level: 0\n",
      "  }\n",
      "}\n",
      "persistable: false\n",
      ", name: \"eval_placeholder_1\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: INT64\n",
      "      dims: -1\n",
      "      dims: 128\n",
      "      dims: 1\n",
      "    }\n",
      "    lod_level: 0\n",
      "  }\n",
      "}\n",
      "persistable: false\n",
      "], outputs=[name: \"fc_73.tmp_1\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: FP32\n",
      "      dims: -1\n",
      "      dims: 3\n",
      "    }\n",
      "    lod_level: 0\n",
      "  }\n",
      "}\n",
      "persistable: true\n",
      "]))\n",
      "\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:51,943 [  trainer.py:  182]:\tBuilding Train Graph...\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:55,293 [  trainer.py:  186]:\tBuilding Train Graph: Done\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:55,294 [  trainer.py:  202]:\tTrain with: \n",
      "> Run_config: RunConfig(model_dir='./output', run_steps=None, max_steps=73631.625, save_steps=1000, eval_steps=1000, eval_max_steps=None, skip_steps=10, log_steps=10, max_ckpt=3, shit=None)\n",
      "> Params: {'attention_probs_dropout_prob': 0.1, 'hidden_act': 'relu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'max_position_embeddings': 513, 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 18000, 'sent_type_vocab_size': None, 'use_task_id': False, 'task_id': 0, 'warmup_proportion': 0.1, 'weight_decay': 0.01, 'fp16': 0, 'learning_rate': 5e-05, 'num_label': 3, 'batch_size': 32}\n",
      "> Train_model_spec: ModelSpec(loss=name: \"mean_0.tmp_0\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: FP32\n",
      "      dims: 1\n",
      "    }\n",
      "  }\n",
      "}\n",
      "persistable: true\n",
      ", predictions=[name: \"fc_73.tmp_1\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: FP32\n",
      "      dims: -1\n",
      "      dims: 3\n",
      "    }\n",
      "    lod_level: 0\n",
      "  }\n",
      "}\n",
      "persistable: true\n",
      "], metrics=None, mode=1, inference_spec=None)\n",
      "\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:55,297 [distribution.py:  127]:\tInitializing local training\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,305 [monitored_executor.py:  224]:\twarm start from ./ernie1.0_pretrained//params\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,307 [monitored_executor.py:  230]:\twarm start: word_embedding\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,308 [monitored_executor.py:  230]:\twarm start: pos_embedding\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,308 [monitored_executor.py:  230]:\twarm start: sent_embedding\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,308 [monitored_executor.py:  230]:\twarm start: pre_encoder_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,308 [monitored_executor.py:  230]:\twarm start: pre_encoder_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,309 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_query_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,309 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_query_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,309 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_key_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,309 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_key_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,309 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_value_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,310 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_value_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,310 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_output_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,310 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_multi_head_att_output_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,310 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_post_att_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,311 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_post_att_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,311 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_ffn_fc_0.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,311 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_ffn_fc_0.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,311 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_ffn_fc_1.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,312 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_ffn_fc_1.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,312 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_post_ffn_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,312 [monitored_executor.py:  230]:\twarm start: encoder_layer_0_post_ffn_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,312 [monitored_executor.py:  230]:\twarm start: encoder_layer_1_multi_head_att_query_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,312 [monitored_executor.py:  230]:\twarm start: encoder_layer_1_multi_head_att_query_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,313 [monitored_executor.py:  230]:\twarm start: encoder_layer_1_multi_head_att_key_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,313 [monitored_executor.py:  230]:\twarm start: encoder_layer_1_multi_head_att_key_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,313 [monitored_executor.py:  230]:\twarm start: encoder_layer_1_multi_head_att_value_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,313 [monitored_executor.py:  230]:\twarm start: encoder_layer_1_multi_head_att_value_fc.b_0\u001b[0m\n",
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      "\u001b[32m[INFO] 2019-09-18 16:26:58,341 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_post_att_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,341 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_ffn_fc_0.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,341 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_ffn_fc_0.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,341 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_ffn_fc_1.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,342 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_ffn_fc_1.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,342 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_post_ffn_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,342 [monitored_executor.py:  230]:\twarm start: encoder_layer_8_post_ffn_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,342 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_query_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,342 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_query_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,343 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_key_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,343 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_key_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,343 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_value_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,343 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_value_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,344 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_output_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,344 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_multi_head_att_output_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,344 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_post_att_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,344 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_post_att_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,345 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_ffn_fc_0.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,345 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_ffn_fc_0.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,345 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_ffn_fc_1.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,345 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_ffn_fc_1.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,345 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_post_ffn_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,346 [monitored_executor.py:  230]:\twarm start: encoder_layer_9_post_ffn_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,346 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_query_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,346 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_query_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,346 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_key_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,347 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_key_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,347 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_value_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,347 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_value_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,347 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_output_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,348 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_multi_head_att_output_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,348 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_post_att_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,348 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_post_att_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,348 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_ffn_fc_0.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,348 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_ffn_fc_0.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,349 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_ffn_fc_1.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,349 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_ffn_fc_1.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,349 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_post_ffn_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,349 [monitored_executor.py:  230]:\twarm start: encoder_layer_10_post_ffn_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,350 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_query_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,350 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_query_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,350 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_key_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,350 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_key_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,350 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_value_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,351 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_value_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,351 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_output_fc.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,351 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_multi_head_att_output_fc.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,351 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_post_att_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,352 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_post_att_layer_norm_bias\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,352 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_ffn_fc_0.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,352 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_ffn_fc_0.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,352 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_ffn_fc_1.w_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,352 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_ffn_fc_1.b_0\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,353 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_post_ffn_layer_norm_scale\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,353 [monitored_executor.py:  230]:\twarm start: encoder_layer_11_post_ffn_layer_norm_bias\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,766 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,767 [monitored_executor.py:  269]:\treplica id 0 of 1\u001b[0m\n",
      "WARNING:root:\n",
      "     You can try our memory optimize feature to save your memory usage:\n",
      "         # create a build_strategy variable to set memory optimize option\n",
      "         build_strategy = compiler.BuildStrategy()\n",
      "         build_strategy.enable_inplace = True\n",
      "         build_strategy.memory_optimize = True\n",
      "         \n",
      "         # pass the build_strategy to with_data_parallel API\n",
      "         compiled_prog = compiler.CompiledProgram(main).with_data_parallel(\n",
      "             loss_name=loss.name, build_strategy=build_strategy)\n",
      "      \n",
      "     !!! Memory optimize is our experimental feature !!!\n",
      "         some variables may be removed/reused internal to save memory usage, \n",
      "         in order to fetch the right value of the fetch_list, please set the \n",
      "         persistable property to true for each variable in fetch_list\n",
      "\n",
      "         # Sample\n",
      "         conv1 = fluid.layers.conv2d(data, 4, 5, 1, act=None) \n",
      "         # if you need to fetch conv1, then:\n",
      "         conv1.persistable = True\n",
      "\n",
      "                 \n",
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,845 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:26:58,846 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,846 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83fbacc0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,846 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.LoggingHook object at 0x7fbf83bee978>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,846 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.trainer.train_and_eval.<locals>.EvalHookOnTrainLoop object at 0x7fbf8645b908>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,846 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.TqdmNotebookProgressBarHook object at 0x7fbf86511ac8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:26:58,846 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.CheckpointSaverHook object at 0x7fbf83acdf98>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:28:45,878 [    hooks.py:  207]:\tstep: 20\tsteps/sec: -1.00000\tloss: 1.13427\tlr:[1.3581419e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:28:52,271 [    hooks.py:  207]:\tstep: 30\tsteps/sec: 1.40585\tloss: 1.05731\tlr:[2.0372129e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:02,782 [    hooks.py:  207]:\tstep: 40\tsteps/sec: 1.03951\tloss: 1.11125\tlr:[2.7162838e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:10,110 [    hooks.py:  207]:\tstep: 50\tsteps/sec: 1.32022\tloss: 1.06366\tlr:[3.395355e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:19,833 [    hooks.py:  207]:\tstep: 60\tsteps/sec: 0.98553\tloss: 1.10231\tlr:[4.0744257e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:27,882 [    hooks.py:  207]:\tstep: 70\tsteps/sec: 1.28016\tloss: 1.11046\tlr:[4.7534968e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:35,330 [    hooks.py:  207]:\tstep: 80\tsteps/sec: 1.38325\tloss: 1.07772\tlr:[5.4325676e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:42,397 [    hooks.py:  207]:\tstep: 90\tsteps/sec: 1.36822\tloss: 1.11051\tlr:[6.111639e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:29:52,070 [    hooks.py:  207]:\tstep: 100\tsteps/sec: 1.03314\tloss: 1.14308\tlr:[6.79071e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:02,635 [    hooks.py:  207]:\tstep: 110\tsteps/sec: 0.99637\tloss: 1.08845\tlr:[7.469781e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:11,923 [    hooks.py:  207]:\tstep: 120\tsteps/sec: 0.99057\tloss: 1.10118\tlr:[8.1488514e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:21,679 [    hooks.py:  207]:\tstep: 130\tsteps/sec: 1.10114\tloss: 1.06936\tlr:[8.827923e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:29,951 [    hooks.py:  207]:\tstep: 140\tsteps/sec: 1.17615\tloss: 1.11580\tlr:[9.5069936e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:37,408 [    hooks.py:  207]:\tstep: 150\tsteps/sec: 1.33206\tloss: 1.10596\tlr:[1.0186064e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:44,557 [    hooks.py:  207]:\tstep: 160\tsteps/sec: 1.38251\tloss: 1.04888\tlr:[1.0865135e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:52,471 [    hooks.py:  207]:\tstep: 170\tsteps/sec: 1.26193\tloss: 1.07098\tlr:[1.1544207e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:30:59,641 [    hooks.py:  207]:\tstep: 180\tsteps/sec: 1.41183\tloss: 1.07339\tlr:[1.2223278e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:31:10,866 [    hooks.py:  207]:\tstep: 190\tsteps/sec: 0.91393\tloss: 1.08387\tlr:[1.2902349e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:31:18,837 [    hooks.py:  207]:\tstep: 200\tsteps/sec: 1.19959\tloss: 1.20001\tlr:[1.358142e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:31:28,431 [    hooks.py:  207]:\tstep: 210\tsteps/sec: 1.00298\tloss: 1.08696\tlr:[1.4260492e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:31:38,874 [    hooks.py:  207]:\tstep: 220\tsteps/sec: 0.98902\tloss: 1.14416\tlr:[1.4939562e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:31:50,318 [    hooks.py:  207]:\tstep: 230\tsteps/sec: 0.88500\tloss: 1.07068\tlr:[1.5618633e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:31:57,991 [    hooks.py:  207]:\tstep: 240\tsteps/sec: 1.27677\tloss: 1.07384\tlr:[1.6297703e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:05,674 [    hooks.py:  207]:\tstep: 250\tsteps/sec: 1.36234\tloss: 1.11945\tlr:[1.6976775e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:13,764 [    hooks.py:  207]:\tstep: 260\tsteps/sec: 1.18961\tloss: 1.06923\tlr:[1.7655846e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:21,791 [    hooks.py:  207]:\tstep: 270\tsteps/sec: 1.22169\tloss: 1.10070\tlr:[1.8334918e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:32,586 [    hooks.py:  207]:\tstep: 280\tsteps/sec: 0.91068\tloss: 1.10118\tlr:[1.9013987e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:39,719 [    hooks.py:  207]:\tstep: 290\tsteps/sec: 1.41155\tloss: 1.09875\tlr:[1.969306e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:48,036 [    hooks.py:  207]:\tstep: 300\tsteps/sec: 1.24853\tloss: 1.10373\tlr:[2.0372129e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:32:56,140 [    hooks.py:  207]:\tstep: 310\tsteps/sec: 1.27653\tloss: 1.12459\tlr:[2.10512e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:33:03,449 [    hooks.py:  207]:\tstep: 320\tsteps/sec: 1.36484\tloss: 1.07233\tlr:[2.173027e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:33:12,723 [    hooks.py:  207]:\tstep: 330\tsteps/sec: 1.06245\tloss: 1.15019\tlr:[2.2409345e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:33:25,244 [    hooks.py:  207]:\tstep: 340\tsteps/sec: 0.80237\tloss: 1.07442\tlr:[2.3088414e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:33:33,951 [    hooks.py:  207]:\tstep: 350\tsteps/sec: 1.06436\tloss: 1.12987\tlr:[2.3767486e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:33:44,147 [    hooks.py:  207]:\tstep: 360\tsteps/sec: 1.03496\tloss: 1.08704\tlr:[2.4446556e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:33:53,600 [    hooks.py:  207]:\tstep: 370\tsteps/sec: 1.06093\tloss: 1.10018\tlr:[2.5125628e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:34:02,619 [    hooks.py:  207]:\tstep: 380\tsteps/sec: 1.18434\tloss: 1.10820\tlr:[2.5804698e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:34:10,486 [    hooks.py:  207]:\tstep: 390\tsteps/sec: 1.20622\tloss: 1.08344\tlr:[2.648377e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 16:35:37,551 [    hooks.py:  207]:\tstep: 490\tsteps/sec: 1.18613\tloss: 1.01875\tlr:[3.3274478e-06]\u001b[0m\n"
     ]
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      "\u001b[37m[DEBUG] 2019-09-18 16:35:46,824 [    hooks.py:  207]:\tstep: 500\tsteps/sec: 1.09231\tloss: 1.09590\tlr:[3.395355e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 16:40:25,428 [    hooks.py:  207]:\tstep: 830\tsteps/sec: 1.06536\tloss: 1.04981\tlr:[5.636289e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:40:36,150 [    hooks.py:  207]:\tstep: 840\tsteps/sec: 0.97641\tloss: 1.08941\tlr:[5.7041966e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:40:44,110 [    hooks.py:  207]:\tstep: 850\tsteps/sec: 1.20291\tloss: 0.86167\tlr:[5.7721036e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:40:53,327 [    hooks.py:  207]:\tstep: 860\tsteps/sec: 1.07222\tloss: 0.87733\tlr:[5.8400105e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:05,387 [    hooks.py:  207]:\tstep: 870\tsteps/sec: 0.85160\tloss: 0.79774\tlr:[5.9079175e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:11,977 [    hooks.py:  207]:\tstep: 880\tsteps/sec: 1.53583\tloss: 0.80449\tlr:[5.975825e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:21,707 [    hooks.py:  207]:\tstep: 890\tsteps/sec: 1.03382\tloss: 0.96883\tlr:[6.043732e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:28,246 [    hooks.py:  207]:\tstep: 900\tsteps/sec: 1.44946\tloss: 0.87871\tlr:[6.111639e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:36,345 [    hooks.py:  207]:\tstep: 910\tsteps/sec: 1.23927\tloss: 0.88896\tlr:[6.179546e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:45,594 [    hooks.py:  207]:\tstep: 920\tsteps/sec: 1.10507\tloss: 0.73772\tlr:[6.2474533e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:52,283 [    hooks.py:  207]:\tstep: 930\tsteps/sec: 1.49355\tloss: 0.62845\tlr:[6.31536e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:41:59,273 [    hooks.py:  207]:\tstep: 940\tsteps/sec: 1.40420\tloss: 0.85553\tlr:[6.3832676e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:08,733 [    hooks.py:  207]:\tstep: 950\tsteps/sec: 1.04654\tloss: 0.62226\tlr:[6.4511746e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:17,066 [    hooks.py:  207]:\tstep: 960\tsteps/sec: 1.17267\tloss: 1.14116\tlr:[6.519081e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:27,131 [    hooks.py:  207]:\tstep: 970\tsteps/sec: 1.04338\tloss: 0.84316\tlr:[6.586989e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:33,615 [    hooks.py:  207]:\tstep: 980\tsteps/sec: 1.47642\tloss: 0.80039\tlr:[6.6548955e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:42,630 [    hooks.py:  207]:\tstep: 990\tsteps/sec: 1.11598\tloss: 0.86035\tlr:[6.7228034e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:49,330 [    hooks.py:  207]:\tstep: 1000\tsteps/sec: 1.48870\tloss: 0.73376\tlr:[6.79071e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:49,331 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:49,331 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:49,331 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:42:49,331 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:49,332 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83a91780>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:42:49,332 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83beea58>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:50:51,181 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:51,182 [  trainer.py:   58]:\t{'acc': 0.6112449799196787, 'loss': 0.8885895720659158}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:51,183 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:51,184 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:50:51,184 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:50:51,184 [  trainer.py:   70]:\tacc\t0.6112449799196787\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:50:51,184 [  trainer.py:   70]:\tloss\t0.8885895720659158\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 16:50:51,184 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:51,184 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.6112449799196787, 'loss': 0.8885895720659158}} \n",
      "old: None\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:51,184 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:51,185 [monitored_executor.py:  122]:\tsaving step 1000 to ./output/best_model/model_1000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 16:50:52,067 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.6112449799196787, 'loss': 0.8885895720659158}} \n",
      "old: None\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:52,067 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:52,067 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:50:53,230 [monitored_executor.py:  122]:\tsaving step 1000 to ./output/model_1000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:04,658 [    hooks.py:  207]:\tstep: 1010\tsteps/sec: 0.02019\tloss: 1.03070\tlr:[6.858617e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:14,038 [    hooks.py:  207]:\tstep: 1020\tsteps/sec: 1.03458\tloss: 0.62447\tlr:[6.9265243e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:24,588 [    hooks.py:  207]:\tstep: 1030\tsteps/sec: 0.98896\tloss: 0.89986\tlr:[6.9944313e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:31,941 [    hooks.py:  207]:\tstep: 1040\tsteps/sec: 1.32569\tloss: 0.76850\tlr:[7.062338e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:39,364 [    hooks.py:  207]:\tstep: 1050\tsteps/sec: 1.30210\tloss: 0.79638\tlr:[7.1302456e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:47,096 [    hooks.py:  207]:\tstep: 1060\tsteps/sec: 1.32381\tloss: 1.01125\tlr:[7.1981526e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:51:56,321 [    hooks.py:  207]:\tstep: 1070\tsteps/sec: 1.08305\tloss: 0.76815\tlr:[7.266059e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:05,110 [    hooks.py:  207]:\tstep: 1080\tsteps/sec: 1.12023\tloss: 0.66054\tlr:[7.333967e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:13,562 [    hooks.py:  207]:\tstep: 1090\tsteps/sec: 1.15966\tloss: 0.61735\tlr:[7.4018735e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:21,420 [    hooks.py:  207]:\tstep: 1100\tsteps/sec: 1.33717\tloss: 1.16861\tlr:[7.4697814e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:27,391 [    hooks.py:  207]:\tstep: 1110\tsteps/sec: 1.57710\tloss: 0.98887\tlr:[7.537688e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:35,338 [    hooks.py:  207]:\tstep: 1120\tsteps/sec: 1.27985\tloss: 0.91038\tlr:[7.605595e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:44,201 [    hooks.py:  207]:\tstep: 1130\tsteps/sec: 1.16545\tloss: 0.58769\tlr:[7.673502e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:52:53,057 [    hooks.py:  207]:\tstep: 1140\tsteps/sec: 1.10971\tloss: 0.93298\tlr:[7.74141e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:02,008 [    hooks.py:  207]:\tstep: 1150\tsteps/sec: 1.18641\tloss: 1.23474\tlr:[7.809316e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:10,108 [    hooks.py:  207]:\tstep: 1160\tsteps/sec: 1.14766\tloss: 0.99367\tlr:[7.877224e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:18,872 [    hooks.py:  207]:\tstep: 1170\tsteps/sec: 1.13428\tloss: 0.75282\tlr:[7.94513e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:27,896 [    hooks.py:  207]:\tstep: 1180\tsteps/sec: 1.13358\tloss: 1.00549\tlr:[8.0130385e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:35,175 [    hooks.py:  207]:\tstep: 1190\tsteps/sec: 1.39854\tloss: 0.57051\tlr:[8.080945e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:45,496 [    hooks.py:  207]:\tstep: 1200\tsteps/sec: 0.97294\tloss: 0.89310\tlr:[8.1488515e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:53:52,754 [    hooks.py:  207]:\tstep: 1210\tsteps/sec: 1.35673\tloss: 0.77788\tlr:[8.216759e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:54:01,165 [    hooks.py:  207]:\tstep: 1220\tsteps/sec: 1.20944\tloss: 0.93549\tlr:[8.284666e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:54:09,847 [    hooks.py:  207]:\tstep: 1230\tsteps/sec: 1.14821\tloss: 0.79950\tlr:[8.352573e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 16:56:36,937 [    hooks.py:  207]:\tstep: 1410\tsteps/sec: 1.41287\tloss: 0.76336\tlr:[9.574901e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 16:57:21,968 [    hooks.py:  207]:\tstep: 1460\tsteps/sec: 1.20040\tloss: 0.69793\tlr:[9.914436e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:57:29,861 [    hooks.py:  207]:\tstep: 1470\tsteps/sec: 1.34570\tloss: 0.95934\tlr:[9.982344e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 16:58:01,742 [    hooks.py:  207]:\tstep: 1510\tsteps/sec: 1.19707\tloss: 0.48666\tlr:[1.02539725e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:58:11,019 [    hooks.py:  207]:\tstep: 1520\tsteps/sec: 1.08986\tloss: 0.99327\tlr:[1.0321879e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:58:19,010 [    hooks.py:  207]:\tstep: 1530\tsteps/sec: 1.19213\tloss: 0.88962\tlr:[1.03897855e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:58:29,262 [    hooks.py:  207]:\tstep: 1540\tsteps/sec: 1.00721\tloss: 0.89425\tlr:[1.0457694e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:58:38,539 [    hooks.py:  207]:\tstep: 1550\tsteps/sec: 1.06149\tloss: 0.75126\tlr:[1.05256e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:58:46,113 [    hooks.py:  207]:\tstep: 1560\tsteps/sec: 1.32050\tloss: 0.96468\tlr:[1.0593508e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:58:52,786 [    hooks.py:  207]:\tstep: 1570\tsteps/sec: 1.52017\tloss: 0.69149\tlr:[1.0661414e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:59:01,543 [    hooks.py:  207]:\tstep: 1580\tsteps/sec: 1.18065\tloss: 0.68806\tlr:[1.0729322e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:59:12,064 [    hooks.py:  207]:\tstep: 1590\tsteps/sec: 0.92151\tloss: 0.57252\tlr:[1.0797229e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:59:19,261 [    hooks.py:  207]:\tstep: 1600\tsteps/sec: 1.40570\tloss: 0.55106\tlr:[1.0865136e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:59:29,569 [    hooks.py:  207]:\tstep: 1610\tsteps/sec: 0.98174\tloss: 0.55142\tlr:[1.0933043e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:59:39,033 [    hooks.py:  207]:\tstep: 1620\tsteps/sec: 1.04721\tloss: 0.94508\tlr:[1.10009505e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 16:59:47,626 [    hooks.py:  207]:\tstep: 1630\tsteps/sec: 1.13904\tloss: 0.64218\tlr:[1.1068857e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 16:59:57,491 [    hooks.py:  207]:\tstep: 1640\tsteps/sec: 1.09333\tloss: 0.90164\tlr:[1.1136764e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 17:00:13,558 [    hooks.py:  207]:\tstep: 1660\tsteps/sec: 1.09025\tloss: 0.83697\tlr:[1.1272578e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 17:00:40,642 [    hooks.py:  207]:\tstep: 1690\tsteps/sec: 1.14856\tloss: 0.69561\tlr:[1.14763e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:00:47,444 [    hooks.py:  207]:\tstep: 1700\tsteps/sec: 1.41233\tloss: 0.66357\tlr:[1.1544207e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 17:01:09,147 [    hooks.py:  207]:\tstep: 1720\tsteps/sec: 0.84157\tloss: 0.52738\tlr:[1.1680021e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:01:18,120 [    hooks.py:  207]:\tstep: 1730\tsteps/sec: 1.14678\tloss: 0.96613\tlr:[1.17479285e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:01:25,385 [    hooks.py:  207]:\tstep: 1740\tsteps/sec: 1.39332\tloss: 0.47434\tlr:[1.1815835e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:01:35,806 [    hooks.py:  207]:\tstep: 1750\tsteps/sec: 0.95600\tloss: 0.78575\tlr:[1.1883742e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:01:43,330 [    hooks.py:  207]:\tstep: 1760\tsteps/sec: 1.30775\tloss: 0.64152\tlr:[1.195165e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:01:52,220 [    hooks.py:  207]:\tstep: 1770\tsteps/sec: 1.13365\tloss: 0.97550\tlr:[1.2019556e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:01,196 [    hooks.py:  207]:\tstep: 1780\tsteps/sec: 1.18270\tloss: 0.60258\tlr:[1.2087464e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:07,831 [    hooks.py:  207]:\tstep: 1790\tsteps/sec: 1.34280\tloss: 0.89306\tlr:[1.2155371e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:16,663 [    hooks.py:  207]:\tstep: 1800\tsteps/sec: 1.16642\tloss: 0.48595\tlr:[1.2223278e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:24,373 [    hooks.py:  207]:\tstep: 1810\tsteps/sec: 1.32130\tloss: 0.52739\tlr:[1.2291185e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:32,515 [    hooks.py:  207]:\tstep: 1820\tsteps/sec: 1.21890\tloss: 1.24288\tlr:[1.2359092e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:40,910 [    hooks.py:  207]:\tstep: 1830\tsteps/sec: 1.18991\tloss: 0.91611\tlr:[1.2427e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:47,453 [    hooks.py:  207]:\tstep: 1840\tsteps/sec: 1.50883\tloss: 0.88931\tlr:[1.24949065e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:02:56,604 [    hooks.py:  207]:\tstep: 1850\tsteps/sec: 1.06392\tloss: 0.70402\tlr:[1.2562814e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:03:07,752 [    hooks.py:  207]:\tstep: 1860\tsteps/sec: 0.92132\tloss: 0.53732\tlr:[1.263072e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:03:17,302 [    hooks.py:  207]:\tstep: 1870\tsteps/sec: 1.03137\tloss: 0.76623\tlr:[1.2698628e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:03:25,813 [    hooks.py:  207]:\tstep: 1880\tsteps/sec: 1.14660\tloss: 0.54416\tlr:[1.2766535e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:03:35,049 [    hooks.py:  207]:\tstep: 1890\tsteps/sec: 1.15845\tloss: 1.02056\tlr:[1.2834441e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:03:44,164 [    hooks.py:  207]:\tstep: 1900\tsteps/sec: 1.05078\tloss: 0.81198\tlr:[1.2902349e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:03:51,987 [    hooks.py:  207]:\tstep: 1910\tsteps/sec: 1.29958\tloss: 1.02639\tlr:[1.2970257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:00,196 [    hooks.py:  207]:\tstep: 1920\tsteps/sec: 1.24326\tloss: 0.73768\tlr:[1.3038162e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:08,870 [    hooks.py:  207]:\tstep: 1930\tsteps/sec: 1.14192\tloss: 0.59653\tlr:[1.310607e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:17,442 [    hooks.py:  207]:\tstep: 1940\tsteps/sec: 1.17215\tloss: 0.55697\tlr:[1.3173978e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:25,706 [    hooks.py:  207]:\tstep: 1950\tsteps/sec: 1.22412\tloss: 0.86902\tlr:[1.3241884e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:32,181 [    hooks.py:  207]:\tstep: 1960\tsteps/sec: 1.43271\tloss: 0.76441\tlr:[1.3309791e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:40,235 [    hooks.py:  207]:\tstep: 1970\tsteps/sec: 1.28104\tloss: 0.77772\tlr:[1.3377699e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:49,159 [    hooks.py:  207]:\tstep: 1980\tsteps/sec: 1.14885\tloss: 0.74745\tlr:[1.3445607e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:04:59,249 [    hooks.py:  207]:\tstep: 1990\tsteps/sec: 0.99035\tloss: 0.81184\tlr:[1.3513512e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:05:08,500 [    hooks.py:  207]:\tstep: 2000\tsteps/sec: 1.05126\tloss: 0.69755\tlr:[1.358142e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:05:08,501 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:05:08,501 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:05:08,501 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:05:08,501 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:05:08,501 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c879ac8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:05:08,501 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c8788d0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:13:07,812 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,813 [  trainer.py:   58]:\t{'acc': 0.6819277108433734, 'loss': 0.7712427740677809}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,814 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,815 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:13:07,815 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:13:07,815 [  trainer.py:   70]:\tacc\t0.6819277108433734\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:13:07,815 [  trainer.py:   70]:\tloss\t0.7712427740677809\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:13:07,815 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,816 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.6819277108433734, 'loss': 0.7712427740677809}} \n",
      "old: {'eval': {'acc': 0.6112449799196787, 'loss': 0.8885895720659158}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,816 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,817 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_1000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:07,817 [monitored_executor.py:  122]:\tsaving step 2000 to ./output/best_model/model_2000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:08,809 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_1000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:08,810 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.6819277108433734, 'loss': 0.7712427740677809}} \n",
      "old: {'eval': {'acc': 0.6112449799196787, 'loss': 0.8885895720659158}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:08,810 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:08,811 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:10,042 [monitored_executor.py:  122]:\tsaving step 2000 to ./output/model_2000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:13:20,905 [    hooks.py:  207]:\tstep: 2010\tsteps/sec: 0.02032\tloss: 0.45225\tlr:[1.3649328e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 17:27:16,394 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:27:16,394 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:27:16,394 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:27:16,395 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:27:16,395 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83b61828>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:27:16,395 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c883fd0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:35:13,283 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,285 [  trainer.py:   58]:\t{'acc': 0.7204819277108434, 'loss': 0.7031658165729963}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,285 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,285 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:35:13,286 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:35:13,286 [  trainer.py:   70]:\tacc\t0.7204819277108434\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:35:13,286 [  trainer.py:   70]:\tloss\t0.7031658165729963\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:35:13,286 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,286 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7204819277108434, 'loss': 0.7031658165729963}} \n",
      "old: {'eval': {'acc': 0.6819277108433734, 'loss': 0.7712427740677809}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,286 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,288 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_2000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:13,288 [monitored_executor.py:  122]:\tsaving step 3000 to ./output/best_model/model_3000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:14,253 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_2000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:14,254 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7204819277108434, 'loss': 0.7031658165729963}} \n",
      "old: {'eval': {'acc': 0.6819277108433734, 'loss': 0.7712427740677809}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:14,255 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:14,255 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:15,660 [monitored_executor.py:  122]:\tsaving step 3000 to ./output/model_3000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:25,576 [    hooks.py:  207]:\tstep: 3010\tsteps/sec: 0.02043\tloss: 0.96726\tlr:[2.0440037e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:33,825 [    hooks.py:  207]:\tstep: 3020\tsteps/sec: 1.22846\tloss: 1.02525\tlr:[2.0507945e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:41,229 [    hooks.py:  207]:\tstep: 3030\tsteps/sec: 1.30880\tloss: 0.50054\tlr:[2.0575852e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:51,134 [    hooks.py:  207]:\tstep: 3040\tsteps/sec: 1.05395\tloss: 0.86102\tlr:[2.0643758e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:35:59,320 [    hooks.py:  207]:\tstep: 3050\tsteps/sec: 1.20209\tloss: 0.74688\tlr:[2.0711666e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:06,559 [    hooks.py:  207]:\tstep: 3060\tsteps/sec: 1.39777\tloss: 0.71449\tlr:[2.0779571e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:16,077 [    hooks.py:  207]:\tstep: 3070\tsteps/sec: 1.06007\tloss: 0.72904\tlr:[2.084748e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:23,905 [    hooks.py:  207]:\tstep: 3080\tsteps/sec: 1.23821\tloss: 0.90274\tlr:[2.0915388e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:32,308 [    hooks.py:  207]:\tstep: 3090\tsteps/sec: 1.19648\tloss: 0.48141\tlr:[2.0983294e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:40,239 [    hooks.py:  207]:\tstep: 3100\tsteps/sec: 1.30098\tloss: 1.24419\tlr:[2.10512e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:47,797 [    hooks.py:  207]:\tstep: 3110\tsteps/sec: 1.28449\tloss: 0.64239\tlr:[2.1119109e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:36:55,779 [    hooks.py:  207]:\tstep: 3120\tsteps/sec: 1.28923\tloss: 0.57111\tlr:[2.1187016e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:37:03,083 [    hooks.py:  207]:\tstep: 3130\tsteps/sec: 1.39964\tloss: 0.81586\tlr:[2.1254922e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:37:09,918 [    hooks.py:  207]:\tstep: 3140\tsteps/sec: 1.41796\tloss: 0.77686\tlr:[2.1322829e-05]\u001b[0m\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-18 17:37:19,094 [    hooks.py:  207]:\tstep: 3150\tsteps/sec: 1.02361\tloss: 0.84764\tlr:[2.1390737e-05]\u001b[0m\n",
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     ]
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    {
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     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 17:46:25,146 [    hooks.py:  207]:\tstep: 3810\tsteps/sec: 1.27202\tloss: 1.02221\tlr:[2.5872605e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:46:33,905 [    hooks.py:  207]:\tstep: 3820\tsteps/sec: 1.13075\tloss: 0.87903\tlr:[2.5940513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:46:40,880 [    hooks.py:  207]:\tstep: 3830\tsteps/sec: 1.47251\tloss: 0.81642\tlr:[2.600842e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:46:47,480 [    hooks.py:  207]:\tstep: 3840\tsteps/sec: 1.39809\tloss: 0.51748\tlr:[2.6076325e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:46:57,856 [    hooks.py:  207]:\tstep: 3850\tsteps/sec: 0.99859\tloss: 1.11806\tlr:[2.6144233e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:47:07,059 [    hooks.py:  207]:\tstep: 3860\tsteps/sec: 1.08786\tloss: 0.88644\tlr:[2.621214e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:47:13,160 [    hooks.py:  207]:\tstep: 3870\tsteps/sec: 1.55127\tloss: 0.59837\tlr:[2.6280048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:47:24,203 [    hooks.py:  207]:\tstep: 3880\tsteps/sec: 0.92672\tloss: 0.81824\tlr:[2.6347956e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:47:32,303 [    hooks.py:  207]:\tstep: 3890\tsteps/sec: 1.24222\tloss: 0.44804\tlr:[2.6415863e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:47:42,436 [    hooks.py:  207]:\tstep: 3900\tsteps/sec: 0.99207\tloss: 0.70653\tlr:[2.6483767e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:47:50,642 [    hooks.py:  207]:\tstep: 3910\tsteps/sec: 1.24348\tloss: 0.49674\tlr:[2.6551676e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:01,060 [    hooks.py:  207]:\tstep: 3920\tsteps/sec: 0.96301\tloss: 0.72637\tlr:[2.6619582e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:10,904 [    hooks.py:  207]:\tstep: 3930\tsteps/sec: 1.01003\tloss: 0.46162\tlr:[2.668749e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:20,434 [    hooks.py:  207]:\tstep: 3940\tsteps/sec: 1.05476\tloss: 0.75049\tlr:[2.6755399e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:31,067 [    hooks.py:  207]:\tstep: 3950\tsteps/sec: 0.91465\tloss: 0.90155\tlr:[2.6823305e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:40,241 [    hooks.py:  207]:\tstep: 3960\tsteps/sec: 1.11704\tloss: 0.53043\tlr:[2.6891214e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:47,575 [    hooks.py:  207]:\tstep: 3970\tsteps/sec: 1.31165\tloss: 0.78833\tlr:[2.6959118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:48:55,908 [    hooks.py:  207]:\tstep: 3980\tsteps/sec: 1.21067\tloss: 1.01273\tlr:[2.7027025e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:06,001 [    hooks.py:  207]:\tstep: 3990\tsteps/sec: 1.00994\tloss: 0.68730\tlr:[2.7094933e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:15,241 [    hooks.py:  207]:\tstep: 4000\tsteps/sec: 1.07725\tloss: 0.78724\tlr:[2.716284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:15,241 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:15,241 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:15,242 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:49:15,242 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:15,242 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c8a1518>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:49:15,242 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83ac8fd0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:57:14,809 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,810 [  trainer.py:   58]:\t{'acc': 0.7389558232931727, 'loss': 0.6419828547499119}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,811 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,811 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:57:14,811 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:57:14,811 [  trainer.py:   70]:\tacc\t0.7389558232931727\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:57:14,812 [  trainer.py:   70]:\tloss\t0.6419828547499119\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 17:57:14,812 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,812 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7389558232931727, 'loss': 0.6419828547499119}} \n",
      "old: {'eval': {'acc': 0.7204819277108434, 'loss': 0.7031658165729963}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,812 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,813 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_3000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:14,813 [monitored_executor.py:  122]:\tsaving step 4000 to ./output/best_model/model_4000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:16,025 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_3000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:16,026 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7389558232931727, 'loss': 0.6419828547499119}} \n",
      "old: {'eval': {'acc': 0.7204819277108434, 'loss': 0.7031658165729963}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:16,026 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:16,026 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:17,292 [monitored_executor.py:  122]:\tsaving step 4000 to ./output/model_4000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:20,979 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_1000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:30,222 [    hooks.py:  207]:\tstep: 4010\tsteps/sec: 0.02021\tloss: 0.81292\tlr:[2.7230748e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:38,638 [    hooks.py:  207]:\tstep: 4020\tsteps/sec: 1.12929\tloss: 0.60127\tlr:[2.7298656e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:50,083 [    hooks.py:  207]:\tstep: 4030\tsteps/sec: 0.89168\tloss: 0.67357\tlr:[2.736656e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:57:58,508 [    hooks.py:  207]:\tstep: 4040\tsteps/sec: 1.17824\tloss: 0.84499\tlr:[2.7434467e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:07,383 [    hooks.py:  207]:\tstep: 4050\tsteps/sec: 1.11200\tloss: 1.30547\tlr:[2.7502376e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:14,234 [    hooks.py:  207]:\tstep: 4060\tsteps/sec: 1.45634\tloss: 0.63449\tlr:[2.7570282e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:22,145 [    hooks.py:  207]:\tstep: 4070\tsteps/sec: 1.27463\tloss: 0.64581\tlr:[2.763819e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:31,256 [    hooks.py:  207]:\tstep: 4080\tsteps/sec: 1.11332\tloss: 0.78673\tlr:[2.7706097e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:41,369 [    hooks.py:  207]:\tstep: 4090\tsteps/sec: 0.95798\tloss: 0.78595\tlr:[2.7774002e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:50,712 [    hooks.py:  207]:\tstep: 4100\tsteps/sec: 1.11816\tloss: 0.73023\tlr:[2.784191e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:58:58,044 [    hooks.py:  207]:\tstep: 4110\tsteps/sec: 1.32994\tloss: 0.74020\tlr:[2.7909817e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:59:09,052 [    hooks.py:  207]:\tstep: 4120\tsteps/sec: 0.90173\tloss: 0.61407\tlr:[2.7977725e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:59:19,439 [    hooks.py:  207]:\tstep: 4130\tsteps/sec: 0.96785\tloss: 0.95191\tlr:[2.8045633e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:59:28,174 [    hooks.py:  207]:\tstep: 4140\tsteps/sec: 1.14041\tloss: 0.68095\tlr:[2.811354e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:59:35,136 [    hooks.py:  207]:\tstep: 4150\tsteps/sec: 1.46326\tloss: 0.64242\tlr:[2.8181448e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:59:44,359 [    hooks.py:  207]:\tstep: 4160\tsteps/sec: 1.05828\tloss: 0.75707\tlr:[2.8249353e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 17:59:52,586 [    hooks.py:  207]:\tstep: 4170\tsteps/sec: 1.22774\tloss: 0.74957\tlr:[2.831726e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:00:01,435 [    hooks.py:  207]:\tstep: 4180\tsteps/sec: 1.20874\tloss: 0.63069\tlr:[2.8385168e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:00:09,162 [    hooks.py:  207]:\tstep: 4190\tsteps/sec: 1.19716\tloss: 0.92601\tlr:[2.8453074e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:00:16,335 [    hooks.py:  207]:\tstep: 4200\tsteps/sec: 1.43013\tloss: 0.52847\tlr:[2.8520983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:00:26,270 [    hooks.py:  207]:\tstep: 4210\tsteps/sec: 1.01488\tloss: 0.56884\tlr:[2.8588891e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:00:34,581 [    hooks.py:  207]:\tstep: 4220\tsteps/sec: 1.15893\tloss: 0.74711\tlr:[2.8656796e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 18:00:45,060 [    hooks.py:  207]:\tstep: 4230\tsteps/sec: 0.96756\tloss: 0.92120\tlr:[2.8724702e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:00:52,190 [    hooks.py:  207]:\tstep: 4240\tsteps/sec: 1.42643\tloss: 1.07860\tlr:[2.879261e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:01,207 [    hooks.py:  207]:\tstep: 4250\tsteps/sec: 1.16854\tloss: 0.57146\tlr:[2.8860517e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:11,668 [    hooks.py:  207]:\tstep: 4260\tsteps/sec: 0.92354\tloss: 0.60639\tlr:[2.8928425e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:18,407 [    hooks.py:  207]:\tstep: 4270\tsteps/sec: 1.36376\tloss: 0.70603\tlr:[2.8996334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:27,039 [    hooks.py:  207]:\tstep: 4280\tsteps/sec: 1.23310\tloss: 0.46914\tlr:[2.9064237e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:36,318 [    hooks.py:  207]:\tstep: 4290\tsteps/sec: 1.05321\tloss: 0.36282\tlr:[2.9132145e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:44,233 [    hooks.py:  207]:\tstep: 4300\tsteps/sec: 1.25486\tloss: 0.79624\tlr:[2.9200053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:01:53,060 [    hooks.py:  207]:\tstep: 4310\tsteps/sec: 1.13080\tloss: 0.41086\tlr:[2.926796e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:01,263 [    hooks.py:  207]:\tstep: 4320\tsteps/sec: 1.34050\tloss: 0.65721\tlr:[2.9335868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:09,638 [    hooks.py:  207]:\tstep: 4330\tsteps/sec: 1.06078\tloss: 0.36420\tlr:[2.9403775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:18,654 [    hooks.py:  207]:\tstep: 4340\tsteps/sec: 1.15604\tloss: 0.51988\tlr:[2.9471683e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:27,302 [    hooks.py:  207]:\tstep: 4350\tsteps/sec: 1.17695\tloss: 0.98761\tlr:[2.9539588e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:36,017 [    hooks.py:  207]:\tstep: 4360\tsteps/sec: 1.18416\tloss: 0.57713\tlr:[2.9607494e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:42,950 [    hooks.py:  207]:\tstep: 4370\tsteps/sec: 1.37675\tloss: 0.44713\tlr:[2.9675402e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:02:51,822 [    hooks.py:  207]:\tstep: 4380\tsteps/sec: 1.15020\tloss: 0.72004\tlr:[2.974331e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:01,804 [    hooks.py:  207]:\tstep: 4390\tsteps/sec: 1.00745\tloss: 0.46297\tlr:[2.9811217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:11,144 [    hooks.py:  207]:\tstep: 4400\tsteps/sec: 1.06236\tloss: 0.87648\tlr:[2.9879126e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:20,019 [    hooks.py:  207]:\tstep: 4410\tsteps/sec: 1.09746\tloss: 0.85730\tlr:[2.994703e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:28,497 [    hooks.py:  207]:\tstep: 4420\tsteps/sec: 1.19017\tloss: 0.78734\tlr:[3.0014937e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:37,204 [    hooks.py:  207]:\tstep: 4430\tsteps/sec: 1.16288\tloss: 0.68279\tlr:[3.0082845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:44,835 [    hooks.py:  207]:\tstep: 4440\tsteps/sec: 1.23105\tloss: 0.92170\tlr:[3.0150752e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:03:53,571 [    hooks.py:  207]:\tstep: 4450\tsteps/sec: 1.20202\tloss: 0.75980\tlr:[3.021866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:01,138 [    hooks.py:  207]:\tstep: 4460\tsteps/sec: 1.39882\tloss: 0.80495\tlr:[3.0286568e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:09,855 [    hooks.py:  207]:\tstep: 4470\tsteps/sec: 1.08627\tloss: 0.86019\tlr:[3.0354475e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:19,081 [    hooks.py:  207]:\tstep: 4480\tsteps/sec: 1.07806\tloss: 0.63740\tlr:[3.042238e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:29,570 [    hooks.py:  207]:\tstep: 4490\tsteps/sec: 0.97934\tloss: 0.63005\tlr:[3.0490288e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:37,294 [    hooks.py:  207]:\tstep: 4500\tsteps/sec: 1.21528\tloss: 0.51669\tlr:[3.0558196e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:47,476 [    hooks.py:  207]:\tstep: 4510\tsteps/sec: 1.00460\tloss: 0.49483\tlr:[3.0626103e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:04:58,102 [    hooks.py:  207]:\tstep: 4520\tsteps/sec: 0.94162\tloss: 0.31339\tlr:[3.069401e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:06,991 [    hooks.py:  207]:\tstep: 4530\tsteps/sec: 1.09683\tloss: 0.70664\tlr:[3.076192e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:15,902 [    hooks.py:  207]:\tstep: 4540\tsteps/sec: 1.18267\tloss: 0.60163\tlr:[3.0829822e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:26,348 [    hooks.py:  207]:\tstep: 4550\tsteps/sec: 0.95806\tloss: 1.12114\tlr:[3.089773e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:33,368 [    hooks.py:  207]:\tstep: 4560\tsteps/sec: 1.36337\tloss: 1.02815\tlr:[3.096564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:41,709 [    hooks.py:  207]:\tstep: 4570\tsteps/sec: 1.25949\tloss: 0.54789\tlr:[3.1033545e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:50,331 [    hooks.py:  207]:\tstep: 4580\tsteps/sec: 1.15091\tloss: 0.62492\tlr:[3.1101452e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:05:57,039 [    hooks.py:  207]:\tstep: 4590\tsteps/sec: 1.45855\tloss: 0.44966\tlr:[3.116936e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:06:04,744 [    hooks.py:  207]:\tstep: 4600\tsteps/sec: 1.28702\tloss: 0.60327\tlr:[3.1237265e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:07:34,435 [    hooks.py:  207]:\tstep: 4710\tsteps/sec: 1.03599\tloss: 0.82899\tlr:[3.1984244e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:07:44,260 [    hooks.py:  207]:\tstep: 4720\tsteps/sec: 1.02461\tloss: 0.63993\tlr:[3.2052154e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:08:23,806 [    hooks.py:  207]:\tstep: 4770\tsteps/sec: 1.22754\tloss: 0.72660\tlr:[3.2391687e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:08:32,451 [    hooks.py:  207]:\tstep: 4780\tsteps/sec: 1.13741\tloss: 0.59761\tlr:[3.2459597e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:08:39,822 [    hooks.py:  207]:\tstep: 4790\tsteps/sec: 1.32637\tloss: 0.54572\tlr:[3.25275e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:08:48,964 [    hooks.py:  207]:\tstep: 4800\tsteps/sec: 1.10650\tloss: 0.70860\tlr:[3.2595406e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:08:57,867 [    hooks.py:  207]:\tstep: 4810\tsteps/sec: 1.11995\tloss: 0.72376\tlr:[3.2663316e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:07,117 [    hooks.py:  207]:\tstep: 4820\tsteps/sec: 1.11241\tloss: 0.69924\tlr:[3.2731223e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:15,121 [    hooks.py:  207]:\tstep: 4830\tsteps/sec: 1.21655\tloss: 0.43033\tlr:[3.279913e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:22,057 [    hooks.py:  207]:\tstep: 4840\tsteps/sec: 1.48915\tloss: 0.84541\tlr:[3.2867036e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:31,514 [    hooks.py:  207]:\tstep: 4850\tsteps/sec: 1.05886\tloss: 0.36816\tlr:[3.2934946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:39,519 [    hooks.py:  207]:\tstep: 4860\tsteps/sec: 1.18112\tloss: 0.68076\tlr:[3.300285e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:47,905 [    hooks.py:  207]:\tstep: 4870\tsteps/sec: 1.21659\tloss: 0.51373\tlr:[3.307076e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:09:56,787 [    hooks.py:  207]:\tstep: 4880\tsteps/sec: 1.16367\tloss: 0.45015\tlr:[3.3138665e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-18 18:10:03,557 [    hooks.py:  207]:\tstep: 4890\tsteps/sec: 1.41300\tloss: 0.71721\tlr:[3.3206572e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:10:12,282 [    hooks.py:  207]:\tstep: 4900\tsteps/sec: 1.16385\tloss: 0.53736\tlr:[3.327448e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:10:22,073 [    hooks.py:  207]:\tstep: 4910\tsteps/sec: 1.04066\tloss: 0.53242\tlr:[3.334239e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:10:29,025 [    hooks.py:  207]:\tstep: 4920\tsteps/sec: 1.38541\tloss: 0.47341\tlr:[3.341029e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:10:38,416 [    hooks.py:  207]:\tstep: 4930\tsteps/sec: 1.05937\tloss: 0.80169\tlr:[3.3478198e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:10:47,385 [    hooks.py:  207]:\tstep: 4940\tsteps/sec: 1.13111\tloss: 0.77217\tlr:[3.3546108e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:10:55,582 [    hooks.py:  207]:\tstep: 4950\tsteps/sec: 1.22640\tloss: 1.21280\tlr:[3.3614015e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:03,977 [    hooks.py:  207]:\tstep: 4960\tsteps/sec: 1.18773\tloss: 0.52053\tlr:[3.368192e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:10,818 [    hooks.py:  207]:\tstep: 4970\tsteps/sec: 1.49774\tloss: 0.49776\tlr:[3.374983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:17,598 [    hooks.py:  207]:\tstep: 4980\tsteps/sec: 1.35230\tloss: 0.72446\tlr:[3.3817734e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:26,661 [    hooks.py:  207]:\tstep: 4990\tsteps/sec: 1.18643\tloss: 0.68295\tlr:[3.388564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:36,226 [    hooks.py:  207]:\tstep: 5000\tsteps/sec: 1.06195\tloss: 0.48216\tlr:[3.395355e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:36,230 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:36,230 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:36,230 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:11:36,230 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:36,230 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83a5e908>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:11:36,230 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83ab0780>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:19:29,313 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,314 [  trainer.py:   58]:\t{'acc': 0.7333333333333333, 'loss': 0.6622268511698797}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,315 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,315 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:19:29,316 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:19:29,316 [  trainer.py:   70]:\tacc\t0.7333333333333333\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:19:29,316 [  trainer.py:   70]:\tloss\t0.6622268511698797\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:19:29,316 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,317 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7333333333333333, 'loss': 0.6622268511698797}} \n",
      "old: {'eval': {'acc': 0.7389558232931727, 'loss': 0.6419828547499119}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,317 [ exporter.py:   64]:\t[Best Exporter]: skip step 5000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,317 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7333333333333333, 'loss': 0.6622268511698797}} \n",
      "old: {'eval': {'acc': 0.7389558232931727, 'loss': 0.6419828547499119}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,317 [ exporter.py:  104]:\t[Best Exporter]: skip step 5000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:29,318 [monitored_executor.py:  122]:\tsaving step 5000 to ./output/model_5000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:33,076 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_2000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:19:41,515 [    hooks.py:  207]:\tstep: 5010\tsteps/sec: 0.02060\tloss: 0.83475\tlr:[3.4021457e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:19:57,641 [    hooks.py:  207]:\tstep: 5030\tsteps/sec: 1.15380\tloss: 0.85348\tlr:[3.4157274e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:20:06,512 [    hooks.py:  207]:\tstep: 5040\tsteps/sec: 1.12022\tloss: 0.60167\tlr:[3.422518e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:20:15,123 [    hooks.py:  207]:\tstep: 5050\tsteps/sec: 1.17152\tloss: 0.67409\tlr:[3.4293083e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:20:24,791 [    hooks.py:  207]:\tstep: 5060\tsteps/sec: 1.02821\tloss: 1.00779\tlr:[3.4360994e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:21:21,107 [    hooks.py:  207]:\tstep: 5120\tsteps/sec: 1.08844\tloss: 0.62421\tlr:[3.4768433e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:24:19,838 [    hooks.py:  207]:\tstep: 5320\tsteps/sec: 0.95201\tloss: 0.43333\tlr:[3.6126577e-05]\u001b[0m\n",
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     ]
    },
    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-18 18:24:48,764 [    hooks.py:  207]:\tstep: 5360\tsteps/sec: 1.37174\tloss: 0.35994\tlr:[3.6398204e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:25:27,704 [    hooks.py:  207]:\tstep: 5410\tsteps/sec: 1.24307\tloss: 0.49140\tlr:[3.6737743e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:25:36,709 [    hooks.py:  207]:\tstep: 5420\tsteps/sec: 1.15264\tloss: 0.92516\tlr:[3.680565e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:25:44,617 [    hooks.py:  207]:\tstep: 5430\tsteps/sec: 1.19391\tloss: 0.82673\tlr:[3.6873553e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:25:56,427 [    hooks.py:  207]:\tstep: 5440\tsteps/sec: 0.86330\tloss: 0.69611\tlr:[3.6941463e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:26:05,935 [    hooks.py:  207]:\tstep: 5450\tsteps/sec: 1.01156\tloss: 0.34817\tlr:[3.700937e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:26:18,674 [    hooks.py:  207]:\tstep: 5460\tsteps/sec: 0.79979\tloss: 0.55611\tlr:[3.7077276e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:26:27,235 [    hooks.py:  207]:\tstep: 5470\tsteps/sec: 1.18958\tloss: 0.86334\tlr:[3.7145186e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:26:37,445 [    hooks.py:  207]:\tstep: 5480\tsteps/sec: 0.99639\tloss: 0.54224\tlr:[3.7213093e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:26:45,751 [    hooks.py:  207]:\tstep: 5490\tsteps/sec: 1.12423\tloss: 0.84588\tlr:[3.7280995e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:26:54,282 [    hooks.py:  207]:\tstep: 5500\tsteps/sec: 1.20461\tloss: 0.54357\tlr:[3.7348906e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:03,045 [    hooks.py:  207]:\tstep: 5510\tsteps/sec: 1.19976\tloss: 1.19404\tlr:[3.7416812e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:12,711 [    hooks.py:  207]:\tstep: 5520\tsteps/sec: 1.00902\tloss: 0.63090\tlr:[3.748472e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:19,623 [    hooks.py:  207]:\tstep: 5530\tsteps/sec: 1.40013\tloss: 0.57662\tlr:[3.755263e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:27,875 [    hooks.py:  207]:\tstep: 5540\tsteps/sec: 1.23270\tloss: 0.72185\tlr:[3.7620535e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:34,906 [    hooks.py:  207]:\tstep: 5550\tsteps/sec: 1.40609\tloss: 0.45619\tlr:[3.7688438e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:41,865 [    hooks.py:  207]:\tstep: 5560\tsteps/sec: 1.51818\tloss: 0.99283\tlr:[3.775635e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:48,560 [    hooks.py:  207]:\tstep: 5570\tsteps/sec: 1.34454\tloss: 0.90589\tlr:[3.7824255e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:27:57,043 [    hooks.py:  207]:\tstep: 5580\tsteps/sec: 1.28757\tloss: 0.98076\tlr:[3.789216e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:03,987 [    hooks.py:  207]:\tstep: 5590\tsteps/sec: 1.35403\tloss: 0.54466\tlr:[3.7960068e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:11,994 [    hooks.py:  207]:\tstep: 5600\tsteps/sec: 1.24533\tloss: 0.91743\tlr:[3.8027978e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:20,115 [    hooks.py:  207]:\tstep: 5610\tsteps/sec: 1.24239\tloss: 0.54134\tlr:[3.8095885e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:28,475 [    hooks.py:  207]:\tstep: 5620\tsteps/sec: 1.15069\tloss: 0.63579\tlr:[3.8163787e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:37,117 [    hooks.py:  207]:\tstep: 5630\tsteps/sec: 1.26160\tloss: 0.95717\tlr:[3.8231698e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:46,677 [    hooks.py:  207]:\tstep: 5640\tsteps/sec: 1.02144\tloss: 0.49705\tlr:[3.8299604e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:28:56,416 [    hooks.py:  207]:\tstep: 5650\tsteps/sec: 1.03723\tloss: 0.77437\tlr:[3.836751e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:04,846 [    hooks.py:  207]:\tstep: 5660\tsteps/sec: 1.15086\tloss: 0.75966\tlr:[3.843542e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:11,592 [    hooks.py:  207]:\tstep: 5670\tsteps/sec: 1.46438\tloss: 0.44874\tlr:[3.8503327e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:19,942 [    hooks.py:  207]:\tstep: 5680\tsteps/sec: 1.21422\tloss: 0.57524\tlr:[3.857123e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:28,851 [    hooks.py:  207]:\tstep: 5690\tsteps/sec: 1.10642\tloss: 0.85421\tlr:[3.863914e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:36,660 [    hooks.py:  207]:\tstep: 5700\tsteps/sec: 1.30797\tloss: 0.62772\tlr:[3.8707047e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:44,338 [    hooks.py:  207]:\tstep: 5710\tsteps/sec: 1.30067\tloss: 0.92763\tlr:[3.8774953e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:29:54,857 [    hooks.py:  207]:\tstep: 5720\tsteps/sec: 0.90856\tloss: 0.37506\tlr:[3.8842863e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:03,537 [    hooks.py:  207]:\tstep: 5730\tsteps/sec: 1.21936\tloss: 0.95899\tlr:[3.891077e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:11,256 [    hooks.py:  207]:\tstep: 5740\tsteps/sec: 1.33484\tloss: 0.46097\tlr:[3.8978673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:18,331 [    hooks.py:  207]:\tstep: 5750\tsteps/sec: 1.35795\tloss: 0.59971\tlr:[3.9046583e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:27,446 [    hooks.py:  207]:\tstep: 5760\tsteps/sec: 1.12768\tloss: 0.83315\tlr:[3.911449e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:33,904 [    hooks.py:  207]:\tstep: 5770\tsteps/sec: 1.42769\tloss: 0.40804\tlr:[3.9182396e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:42,895 [    hooks.py:  207]:\tstep: 5780\tsteps/sec: 1.16826\tloss: 0.81320\tlr:[3.9250303e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:49,349 [    hooks.py:  207]:\tstep: 5790\tsteps/sec: 1.44261\tloss: 0.77200\tlr:[3.9318213e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:30:58,499 [    hooks.py:  207]:\tstep: 5800\tsteps/sec: 1.15213\tloss: 0.57038\tlr:[3.938612e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:31:10,544 [    hooks.py:  207]:\tstep: 5810\tsteps/sec: 0.80795\tloss: 0.66758\tlr:[3.9454026e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:31:19,430 [    hooks.py:  207]:\tstep: 5820\tsteps/sec: 1.16513\tloss: 0.90985\tlr:[3.9521932e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:31:26,562 [    hooks.py:  207]:\tstep: 5830\tsteps/sec: 1.43861\tloss: 0.64213\tlr:[3.958984e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:31:36,229 [    hooks.py:  207]:\tstep: 5840\tsteps/sec: 1.04103\tloss: 0.52080\tlr:[3.9657745e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:31:45,244 [    hooks.py:  207]:\tstep: 5850\tsteps/sec: 1.07577\tloss: 0.86391\tlr:[3.9725655e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:31:52,996 [    hooks.py:  207]:\tstep: 5860\tsteps/sec: 1.23970\tloss: 0.48245\tlr:[3.9793562e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:02,507 [    hooks.py:  207]:\tstep: 5870\tsteps/sec: 1.16543\tloss: 0.63327\tlr:[3.9861465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:11,404 [    hooks.py:  207]:\tstep: 5880\tsteps/sec: 1.03781\tloss: 0.62123\tlr:[3.9929375e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:19,573 [    hooks.py:  207]:\tstep: 5890\tsteps/sec: 1.24153\tloss: 0.53297\tlr:[3.999728e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:29,243 [    hooks.py:  207]:\tstep: 5900\tsteps/sec: 1.02815\tloss: 0.74031\tlr:[4.0065188e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:35,389 [    hooks.py:  207]:\tstep: 5910\tsteps/sec: 1.55565\tloss: 1.12770\tlr:[4.0133098e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:44,859 [    hooks.py:  207]:\tstep: 5920\tsteps/sec: 1.09001\tloss: 0.45264\tlr:[4.0201005e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:32:54,056 [    hooks.py:  207]:\tstep: 5930\tsteps/sec: 1.08573\tloss: 0.36892\tlr:[4.0268907e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:02,196 [    hooks.py:  207]:\tstep: 5940\tsteps/sec: 1.33271\tloss: 0.71085\tlr:[4.0336818e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:09,505 [    hooks.py:  207]:\tstep: 5950\tsteps/sec: 1.30195\tloss: 0.74277\tlr:[4.0404724e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:18,715 [    hooks.py:  207]:\tstep: 5960\tsteps/sec: 1.02237\tloss: 0.81743\tlr:[4.047263e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:28,187 [    hooks.py:  207]:\tstep: 5970\tsteps/sec: 1.09497\tloss: 0.86931\tlr:[4.054054e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:37,051 [    hooks.py:  207]:\tstep: 5980\tsteps/sec: 1.19558\tloss: 0.75322\tlr:[4.0608447e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:43,933 [    hooks.py:  207]:\tstep: 5990\tsteps/sec: 1.34224\tloss: 0.47086\tlr:[4.0676354e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:51,380 [    hooks.py:  207]:\tstep: 6000\tsteps/sec: 1.39134\tloss: 0.93041\tlr:[4.074426e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:51,384 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:51,384 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:51,384 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:33:51,384 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:51,384 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83807f28>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:33:51,384 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c933a90>\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-18 18:41:44,051 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,053 [  trainer.py:   58]:\t{'acc': 0.744578313253012, 'loss': 0.6313066453887866}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,053 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,054 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:41:44,054 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:41:44,054 [  trainer.py:   70]:\tacc\t0.744578313253012\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:41:44,054 [  trainer.py:   70]:\tloss\t0.6313066453887866\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:41:44,054 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,054 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.744578313253012, 'loss': 0.6313066453887866}} \n",
      "old: {'eval': {'acc': 0.7389558232931727, 'loss': 0.6419828547499119}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,055 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,056 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_4000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:44,056 [monitored_executor.py:  122]:\tsaving step 6000 to ./output/best_model/model_6000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:45,182 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_4000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:45,183 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.744578313253012, 'loss': 0.6313066453887866}} \n",
      "old: {'eval': {'acc': 0.7389558232931727, 'loss': 0.6419828547499119}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:45,183 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:45,183 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:46,634 [monitored_executor.py:  122]:\tsaving step 6000 to ./output/model_6000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:50,343 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_3000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:41:58,844 [    hooks.py:  207]:\tstep: 6010\tsteps/sec: 0.02051\tloss: 0.75235\tlr:[4.0812167e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:06,391 [    hooks.py:  207]:\tstep: 6020\tsteps/sec: 1.28525\tloss: 0.30485\tlr:[4.0880073e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:15,165 [    hooks.py:  207]:\tstep: 6030\tsteps/sec: 1.17361\tloss: 0.51817\tlr:[4.094798e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:22,067 [    hooks.py:  207]:\tstep: 6040\tsteps/sec: 1.42043\tloss: 0.49163\tlr:[4.101589e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:30,717 [    hooks.py:  207]:\tstep: 6050\tsteps/sec: 1.17052\tloss: 0.69144\tlr:[4.1083797e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:39,810 [    hooks.py:  207]:\tstep: 6060\tsteps/sec: 1.10007\tloss: 0.49624\tlr:[4.1151703e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:48,935 [    hooks.py:  207]:\tstep: 6070\tsteps/sec: 1.09054\tloss: 0.44011\tlr:[4.121961e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:42:57,064 [    hooks.py:  207]:\tstep: 6080\tsteps/sec: 1.26349\tloss: 0.73851\tlr:[4.1287516e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:05,203 [    hooks.py:  207]:\tstep: 6090\tsteps/sec: 1.21774\tloss: 0.56757\tlr:[4.1355423e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:14,618 [    hooks.py:  207]:\tstep: 6100\tsteps/sec: 1.05738\tloss: 0.85838\tlr:[4.1423333e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:22,982 [    hooks.py:  207]:\tstep: 6110\tsteps/sec: 1.15040\tloss: 0.43440\tlr:[4.149124e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:32,901 [    hooks.py:  207]:\tstep: 6120\tsteps/sec: 1.06752\tloss: 0.67968\tlr:[4.1559142e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:41,657 [    hooks.py:  207]:\tstep: 6130\tsteps/sec: 1.13778\tloss: 0.97393\tlr:[4.1627052e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:48,469 [    hooks.py:  207]:\tstep: 6140\tsteps/sec: 1.32035\tloss: 0.42235\tlr:[4.169496e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:43:55,888 [    hooks.py:  207]:\tstep: 6150\tsteps/sec: 1.45270\tloss: 0.38944\tlr:[4.1762865e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:44:03,123 [    hooks.py:  207]:\tstep: 6160\tsteps/sec: 1.47528\tloss: 0.99027\tlr:[4.1830775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:44:13,528 [    hooks.py:  207]:\tstep: 6170\tsteps/sec: 0.91514\tloss: 0.40032\tlr:[4.1898682e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:44:22,323 [    hooks.py:  207]:\tstep: 6180\tsteps/sec: 1.18024\tloss: 0.39846\tlr:[4.196659e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:44:29,909 [    hooks.py:  207]:\tstep: 6190\tsteps/sec: 1.25494\tloss: 0.54797\tlr:[4.2034495e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:48:24,565 [    hooks.py:  207]:\tstep: 6460\tsteps/sec: 1.56337\tloss: 0.83049\tlr:[4.3867985e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:48:44,076 [    hooks.py:  207]:\tstep: 6480\tsteps/sec: 0.87843\tloss: 0.50343\tlr:[4.4003802e-05]\u001b[0m\n"
     ]
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      "\u001b[37m[DEBUG] 2019-09-18 18:48:50,828 [    hooks.py:  207]:\tstep: 6490\tsteps/sec: 1.48612\tloss: 0.40847\tlr:[4.407171e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:53:38,677 [    hooks.py:  207]:\tstep: 6830\tsteps/sec: 1.21423\tloss: 0.67619\tlr:[4.6380548e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:53:47,944 [    hooks.py:  207]:\tstep: 6840\tsteps/sec: 1.14170\tloss: 0.56216\tlr:[4.6448455e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 18:54:03,961 [    hooks.py:  207]:\tstep: 6860\tsteps/sec: 1.14407\tloss: 0.82211\tlr:[4.658427e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:54:12,552 [    hooks.py:  207]:\tstep: 6870\tsteps/sec: 1.27158\tloss: 0.37342\tlr:[4.6652178e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:54:20,640 [    hooks.py:  207]:\tstep: 6880\tsteps/sec: 1.19655\tloss: 0.53102\tlr:[4.6720084e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:54:28,476 [    hooks.py:  207]:\tstep: 6890\tsteps/sec: 1.28046\tloss: 0.59635\tlr:[4.678799e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:54:35,440 [    hooks.py:  207]:\tstep: 6900\tsteps/sec: 1.41670\tloss: 0.62715\tlr:[4.6855897e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:54:44,029 [    hooks.py:  207]:\tstep: 6910\tsteps/sec: 1.17503\tloss: 0.64319\tlr:[4.6923808e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:54:51,183 [    hooks.py:  207]:\tstep: 6920\tsteps/sec: 1.39568\tloss: 0.80752\tlr:[4.6991714e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:01,838 [    hooks.py:  207]:\tstep: 6930\tsteps/sec: 0.97262\tloss: 0.69914\tlr:[4.705962e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:09,985 [    hooks.py:  207]:\tstep: 6940\tsteps/sec: 1.16889\tloss: 0.62061\tlr:[4.7127527e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:16,673 [    hooks.py:  207]:\tstep: 6950\tsteps/sec: 1.53602\tloss: 0.48158\tlr:[4.7195434e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:23,760 [    hooks.py:  207]:\tstep: 6960\tsteps/sec: 1.36630\tloss: 0.62752\tlr:[4.726334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:35,283 [    hooks.py:  207]:\tstep: 6970\tsteps/sec: 0.87757\tloss: 0.73712\tlr:[4.733125e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:41,835 [    hooks.py:  207]:\tstep: 6980\tsteps/sec: 1.48217\tloss: 0.98409\tlr:[4.7399157e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:51,636 [    hooks.py:  207]:\tstep: 6990\tsteps/sec: 1.06053\tloss: 0.52903\tlr:[4.7467063e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:59,276 [    hooks.py:  207]:\tstep: 7000\tsteps/sec: 1.26989\tloss: 0.97993\tlr:[4.753497e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:59,276 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:59,276 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:59,276 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 18:55:59,276 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:59,277 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf839cf320>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 18:55:59,277 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf839b47b8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:03:52,002 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,003 [  trainer.py:   58]:\t{'acc': 0.7457831325301205, 'loss': 0.6268883449717974}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,004 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,004 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:03:52,005 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:03:52,005 [  trainer.py:   70]:\tacc\t0.7457831325301205\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:03:52,005 [  trainer.py:   70]:\tloss\t0.6268883449717974\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:03:52,005 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,005 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7457831325301205, 'loss': 0.6268883449717974}} \n",
      "old: {'eval': {'acc': 0.744578313253012, 'loss': 0.6313066453887866}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,005 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,006 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_6000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,006 [monitored_executor.py:  122]:\tsaving step 7000 to ./output/best_model/model_7000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,969 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_6000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,970 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7457831325301205, 'loss': 0.6268883449717974}} \n",
      "old: {'eval': {'acc': 0.744578313253012, 'loss': 0.6313066453887866}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,970 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:52,970 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:54,198 [monitored_executor.py:  122]:\tsaving step 7000 to ./output/model_7000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:03:57,587 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_4000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:04:06,709 [    hooks.py:  207]:\tstep: 7010\tsteps/sec: 0.02052\tloss: 0.55268\tlr:[4.7602876e-05]\u001b[0m\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "\u001b[37m[DEBUG] 2019-09-18 19:17:29,923 [    hooks.py:  207]:\tstep: 7980\tsteps/sec: 1.27284\tloss: 0.34230\tlr:[4.4581135e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:40,615 [    hooks.py:  207]:\tstep: 7990\tsteps/sec: 0.95560\tloss: 0.57129\tlr:[4.4574343e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:50,509 [    hooks.py:  207]:\tstep: 8000\tsteps/sec: 1.02588\tloss: 0.46767\tlr:[4.4567554e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:50,510 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:50,510 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:50,511 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:17:50,511 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:50,511 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c8e2eb8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:17:50,515 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c8fefd0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:25:43,346 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,347 [  trainer.py:   58]:\t{'acc': 0.7566265060240964, 'loss': 0.6208251679363923}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,348 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,348 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:25:43,349 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:25:43,349 [  trainer.py:   70]:\tacc\t0.7566265060240964\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:25:43,349 [  trainer.py:   70]:\tloss\t0.6208251679363923\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:25:43,349 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,349 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7566265060240964, 'loss': 0.6208251679363923}} \n",
      "old: {'eval': {'acc': 0.7457831325301205, 'loss': 0.6268883449717974}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,349 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,350 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_7000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:43,350 [monitored_executor.py:  122]:\tsaving step 8000 to ./output/best_model/model_8000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:44,490 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_7000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:44,491 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7566265060240964, 'loss': 0.6208251679363923}} \n",
      "old: {'eval': {'acc': 0.7457831325301205, 'loss': 0.6268883449717974}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:44,491 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:44,492 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:45,868 [monitored_executor.py:  122]:\tsaving step 8000 to ./output/model_8000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:49,284 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_5000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:25:55,691 [    hooks.py:  207]:\tstep: 8010\tsteps/sec: 0.02059\tloss: 0.77926\tlr:[4.456076e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:26:05,292 [    hooks.py:  207]:\tstep: 8020\tsteps/sec: 1.06721\tloss: 0.74858\tlr:[4.455397e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 19:26:13,723 [    hooks.py:  207]:\tstep: 8030\tsteps/sec: 1.23276\tloss: 0.73672\tlr:[4.454718e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:26:23,453 [    hooks.py:  207]:\tstep: 8040\tsteps/sec: 1.02207\tloss: 0.83638\tlr:[4.4540393e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:26:32,258 [    hooks.py:  207]:\tstep: 8050\tsteps/sec: 1.14264\tloss: 0.72369\tlr:[4.45336e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:26:39,206 [    hooks.py:  207]:\tstep: 8060\tsteps/sec: 1.32338\tloss: 0.55095\tlr:[4.4526812e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:26:46,326 [    hooks.py:  207]:\tstep: 8070\tsteps/sec: 1.48203\tloss: 0.62962\tlr:[4.452002e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:26:54,893 [    hooks.py:  207]:\tstep: 8080\tsteps/sec: 1.16462\tloss: 0.48734\tlr:[4.451323e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:27:03,713 [    hooks.py:  207]:\tstep: 8090\tsteps/sec: 1.17139\tloss: 0.51180\tlr:[4.450644e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:27:10,588 [    hooks.py:  207]:\tstep: 8100\tsteps/sec: 1.42083\tloss: 0.49054\tlr:[4.4499648e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:27:19,480 [    hooks.py:  207]:\tstep: 8110\tsteps/sec: 1.12777\tloss: 0.36544\tlr:[4.449286e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:27:26,108 [    hooks.py:  207]:\tstep: 8120\tsteps/sec: 1.46962\tloss: 0.73177\tlr:[4.4486063e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:27:34,462 [    hooks.py:  207]:\tstep: 8130\tsteps/sec: 1.20542\tloss: 0.73783\tlr:[4.4479275e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:27:43,809 [    hooks.py:  207]:\tstep: 8140\tsteps/sec: 1.08209\tloss: 0.82261\tlr:[4.4472483e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:28:10,752 [    hooks.py:  207]:\tstep: 8170\tsteps/sec: 1.04969\tloss: 1.19885\tlr:[4.4452114e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:28:21,848 [    hooks.py:  207]:\tstep: 8180\tsteps/sec: 0.90626\tloss: 0.77800\tlr:[4.4445318e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:28:32,426 [    hooks.py:  207]:\tstep: 8190\tsteps/sec: 0.95283\tloss: 0.52761\tlr:[4.4438533e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:28:40,515 [    hooks.py:  207]:\tstep: 8200\tsteps/sec: 1.27408\tloss: 0.58007\tlr:[4.443174e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:28:49,946 [    hooks.py:  207]:\tstep: 8210\tsteps/sec: 1.01802\tloss: 0.29825\tlr:[4.442495e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:28:58,415 [    hooks.py:  207]:\tstep: 8220\tsteps/sec: 1.28416\tloss: 0.48672\tlr:[4.4418157e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:06,817 [    hooks.py:  207]:\tstep: 8230\tsteps/sec: 1.11684\tloss: 0.81240\tlr:[4.441137e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:18,079 [    hooks.py:  207]:\tstep: 8240\tsteps/sec: 0.92934\tloss: 0.44654\tlr:[4.4404576e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:24,850 [    hooks.py:  207]:\tstep: 8250\tsteps/sec: 1.40818\tloss: 0.78376\tlr:[4.439779e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:33,413 [    hooks.py:  207]:\tstep: 8260\tsteps/sec: 1.16037\tloss: 0.59252\tlr:[4.4390996e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:40,956 [    hooks.py:  207]:\tstep: 8270\tsteps/sec: 1.35321\tloss: 0.38451\tlr:[4.43842e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:49,179 [    hooks.py:  207]:\tstep: 8280\tsteps/sec: 1.21413\tloss: 0.66719\tlr:[4.4377415e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:29:57,591 [    hooks.py:  207]:\tstep: 8290\tsteps/sec: 1.16286\tloss: 0.68449\tlr:[4.4370623e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:30:07,335 [    hooks.py:  207]:\tstep: 8300\tsteps/sec: 1.02157\tloss: 0.92376\tlr:[4.4363835e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:30:16,652 [    hooks.py:  207]:\tstep: 8310\tsteps/sec: 1.05458\tloss: 0.52997\tlr:[4.4357042e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:30:25,280 [    hooks.py:  207]:\tstep: 8320\tsteps/sec: 1.15820\tloss: 0.62105\tlr:[4.435025e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:30:33,494 [    hooks.py:  207]:\tstep: 8330\tsteps/sec: 1.29775\tloss: 0.74129\tlr:[4.4343462e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:30:41,610 [    hooks.py:  207]:\tstep: 8340\tsteps/sec: 1.19491\tloss: 0.27625\tlr:[4.4336673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:30:50,812 [    hooks.py:  207]:\tstep: 8350\tsteps/sec: 1.10467\tloss: 0.73606\tlr:[4.432988e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:31:08,991 [    hooks.py:  207]:\tstep: 8370\tsteps/sec: 1.03891\tloss: 0.55284\tlr:[4.43163e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:31:15,032 [    hooks.py:  207]:\tstep: 8380\tsteps/sec: 1.51772\tloss: 0.76692\tlr:[4.430951e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:31:25,196 [    hooks.py:  207]:\tstep: 8390\tsteps/sec: 1.01183\tloss: 0.48474\tlr:[4.430272e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:31:34,331 [    hooks.py:  207]:\tstep: 8400\tsteps/sec: 1.09874\tloss: 0.75072\tlr:[4.4295928e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:31:42,627 [    hooks.py:  207]:\tstep: 8410\tsteps/sec: 1.23807\tloss: 1.32521\tlr:[4.4289136e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:31:49,482 [    hooks.py:  207]:\tstep: 8420\tsteps/sec: 1.42879\tloss: 0.41027\tlr:[4.4282348e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:31:58,824 [    hooks.py:  207]:\tstep: 8430\tsteps/sec: 1.08288\tloss: 0.76494\tlr:[4.4275555e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:32:08,082 [    hooks.py:  207]:\tstep: 8440\tsteps/sec: 1.05037\tloss: 0.83835\tlr:[4.4268763e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:32:16,254 [    hooks.py:  207]:\tstep: 8450\tsteps/sec: 1.24595\tloss: 0.74232\tlr:[4.426197e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:32:25,689 [    hooks.py:  207]:\tstep: 8460\tsteps/sec: 1.05904\tloss: 0.83521\tlr:[4.4255183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:32:33,716 [    hooks.py:  207]:\tstep: 8470\tsteps/sec: 1.27027\tloss: 0.71744\tlr:[4.424839e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:32:51,310 [    hooks.py:  207]:\tstep: 8490\tsteps/sec: 1.03390\tloss: 0.59581\tlr:[4.423481e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:33:06,953 [    hooks.py:  207]:\tstep: 8510\tsteps/sec: 1.40823\tloss: 0.50592\tlr:[4.422123e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:33:17,618 [    hooks.py:  207]:\tstep: 8520\tsteps/sec: 0.96955\tloss: 0.39870\tlr:[4.4214437e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:33:26,666 [    hooks.py:  207]:\tstep: 8530\tsteps/sec: 1.09732\tloss: 0.76729\tlr:[4.420765e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:33:33,820 [    hooks.py:  207]:\tstep: 8540\tsteps/sec: 1.41848\tloss: 0.46725\tlr:[4.420086e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:33:41,815 [    hooks.py:  207]:\tstep: 8550\tsteps/sec: 1.18106\tloss: 0.57098\tlr:[4.4194072e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:33:51,810 [    hooks.py:  207]:\tstep: 8560\tsteps/sec: 1.04077\tloss: 0.49014\tlr:[4.418728e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:34:22,904 [    hooks.py:  207]:\tstep: 8600\tsteps/sec: 1.58356\tloss: 0.77057\tlr:[4.416012e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:35:06,028 [    hooks.py:  207]:\tstep: 8650\tsteps/sec: 1.04499\tloss: 1.05456\tlr:[4.4126165e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:35:31,705 [    hooks.py:  207]:\tstep: 8680\tsteps/sec: 1.02880\tloss: 0.47607\tlr:[4.410579e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-18 19:35:40,557 [    hooks.py:  207]:\tstep: 8690\tsteps/sec: 1.13676\tloss: 0.60203\tlr:[4.4099e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:36:19,659 [    hooks.py:  207]:\tstep: 8740\tsteps/sec: 1.04479\tloss: 0.38462\tlr:[4.4065047e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:36:27,585 [    hooks.py:  207]:\tstep: 8750\tsteps/sec: 1.28824\tloss: 0.61017\tlr:[4.405826e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:36:35,712 [    hooks.py:  207]:\tstep: 8760\tsteps/sec: 1.20228\tloss: 0.37316\tlr:[4.405147e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:36:45,540 [    hooks.py:  207]:\tstep: 8770\tsteps/sec: 1.02364\tloss: 0.54566\tlr:[4.404468e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:36:53,906 [    hooks.py:  207]:\tstep: 8780\tsteps/sec: 1.22053\tloss: 0.36428\tlr:[4.4037886e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:03,060 [    hooks.py:  207]:\tstep: 8790\tsteps/sec: 1.13535\tloss: 0.52618\tlr:[4.4031098e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:10,494 [    hooks.py:  207]:\tstep: 8800\tsteps/sec: 1.24601\tloss: 1.00316\tlr:[4.4024306e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:19,115 [    hooks.py:  207]:\tstep: 8810\tsteps/sec: 1.18325\tloss: 0.49556\tlr:[4.4017517e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:29,437 [    hooks.py:  207]:\tstep: 8820\tsteps/sec: 0.94951\tloss: 0.40216\tlr:[4.4010725e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:36,782 [    hooks.py:  207]:\tstep: 8830\tsteps/sec: 1.36529\tloss: 0.56151\tlr:[4.4003933e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:44,909 [    hooks.py:  207]:\tstep: 8840\tsteps/sec: 1.21458\tloss: 0.79051\tlr:[4.3997145e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:37:52,506 [    hooks.py:  207]:\tstep: 8850\tsteps/sec: 1.35940\tloss: 0.76430\tlr:[4.3990356e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:00,065 [    hooks.py:  207]:\tstep: 8860\tsteps/sec: 1.30521\tloss: 0.80766\tlr:[4.3983564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:09,747 [    hooks.py:  207]:\tstep: 8870\tsteps/sec: 0.99017\tloss: 0.68577\tlr:[4.3976772e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:17,993 [    hooks.py:  207]:\tstep: 8880\tsteps/sec: 1.32174\tloss: 0.68805\tlr:[4.3969983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:25,350 [    hooks.py:  207]:\tstep: 8890\tsteps/sec: 1.31033\tloss: 0.32084\tlr:[4.396319e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:33,126 [    hooks.py:  207]:\tstep: 8900\tsteps/sec: 1.31188\tloss: 0.32996\tlr:[4.39564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:41,320 [    hooks.py:  207]:\tstep: 8910\tsteps/sec: 1.20984\tloss: 0.40032\tlr:[4.3949607e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:49,875 [    hooks.py:  207]:\tstep: 8920\tsteps/sec: 1.11673\tloss: 1.02890\tlr:[4.394282e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:38:58,818 [    hooks.py:  207]:\tstep: 8930\tsteps/sec: 1.20542\tloss: 1.11270\tlr:[4.3936026e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:05,513 [    hooks.py:  207]:\tstep: 8940\tsteps/sec: 1.39819\tloss: 0.95098\tlr:[4.3929238e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:14,279 [    hooks.py:  207]:\tstep: 8950\tsteps/sec: 1.12408\tloss: 0.67010\tlr:[4.392245e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:21,473 [    hooks.py:  207]:\tstep: 8960\tsteps/sec: 1.43262\tloss: 0.78775\tlr:[4.3915657e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:30,888 [    hooks.py:  207]:\tstep: 8970\tsteps/sec: 1.06203\tloss: 0.54614\tlr:[4.3908865e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:39,779 [    hooks.py:  207]:\tstep: 8980\tsteps/sec: 1.12283\tloss: 0.70469\tlr:[4.3902073e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:48,070 [    hooks.py:  207]:\tstep: 8990\tsteps/sec: 1.25034\tloss: 0.70810\tlr:[4.389528e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:56,540 [    hooks.py:  207]:\tstep: 9000\tsteps/sec: 1.15015\tloss: 0.58705\tlr:[4.3888493e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:56,541 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:56,541 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:56,541 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:39:56,545 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:56,545 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c651198>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:39:56,545 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c8b20b8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:47:49,787 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,788 [  trainer.py:   58]:\t{'acc': 0.7586345381526104, 'loss': 0.6162728340579913}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,789 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,789 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:47:49,789 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:47:49,790 [  trainer.py:   70]:\tacc\t0.7586345381526104\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:47:49,790 [  trainer.py:   70]:\tloss\t0.6162728340579913\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 19:47:49,790 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,790 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7586345381526104, 'loss': 0.6162728340579913}} \n",
      "old: {'eval': {'acc': 0.7566265060240964, 'loss': 0.6208251679363923}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,790 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,791 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_8000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:49,791 [monitored_executor.py:  122]:\tsaving step 9000 to ./output/best_model/model_9000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:50,953 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_8000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:50,954 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7586345381526104, 'loss': 0.6162728340579913}} \n",
      "old: {'eval': {'acc': 0.7566265060240964, 'loss': 0.6208251679363923}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:50,954 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:50,954 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:52,232 [monitored_executor.py:  122]:\tsaving step 9000 to ./output/model_9000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:47:55,955 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_6000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:03,369 [    hooks.py:  207]:\tstep: 9010\tsteps/sec: 0.02056\tloss: 0.85667\tlr:[4.38817e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:11,435 [    hooks.py:  207]:\tstep: 9020\tsteps/sec: 1.16958\tloss: 0.61951\tlr:[4.3874912e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:20,807 [    hooks.py:  207]:\tstep: 9030\tsteps/sec: 1.03672\tloss: 0.62836\tlr:[4.386812e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:28,798 [    hooks.py:  207]:\tstep: 9040\tsteps/sec: 1.32725\tloss: 0.88865\tlr:[4.3861328e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:37,758 [    hooks.py:  207]:\tstep: 9050\tsteps/sec: 1.11051\tloss: 0.43704\tlr:[4.3854543e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:44,797 [    hooks.py:  207]:\tstep: 9060\tsteps/sec: 1.31870\tloss: 0.44851\tlr:[4.3847755e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:48:55,550 [    hooks.py:  207]:\tstep: 9070\tsteps/sec: 0.95578\tloss: 0.55036\tlr:[4.3840962e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:49:03,971 [    hooks.py:  207]:\tstep: 9080\tsteps/sec: 1.26537\tloss: 0.67757\tlr:[4.3834174e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:49:12,499 [    hooks.py:  207]:\tstep: 9090\tsteps/sec: 1.12931\tloss: 0.69717\tlr:[4.3827382e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:49:20,278 [    hooks.py:  207]:\tstep: 9100\tsteps/sec: 1.22161\tloss: 0.42899\tlr:[4.3820593e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:49:29,399 [    hooks.py:  207]:\tstep: 9110\tsteps/sec: 1.10188\tloss: 0.72235\tlr:[4.38138e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 19:49:37,104 [    hooks.py:  207]:\tstep: 9120\tsteps/sec: 1.29096\tloss: 0.87573\tlr:[4.380701e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:49:45,897 [    hooks.py:  207]:\tstep: 9130\tsteps/sec: 1.18105\tloss: 0.51559\tlr:[4.3800217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:49:54,410 [    hooks.py:  207]:\tstep: 9140\tsteps/sec: 1.19204\tloss: 0.42963\tlr:[4.379343e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:02,407 [    hooks.py:  207]:\tstep: 9150\tsteps/sec: 1.30848\tloss: 0.82728\tlr:[4.378664e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:11,682 [    hooks.py:  207]:\tstep: 9160\tsteps/sec: 1.02869\tloss: 0.65490\tlr:[4.3779844e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:19,020 [    hooks.py:  207]:\tstep: 9170\tsteps/sec: 1.38222\tloss: 0.47172\tlr:[4.3773056e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:27,530 [    hooks.py:  207]:\tstep: 9180\tsteps/sec: 1.17958\tloss: 0.70522\tlr:[4.3766267e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:34,659 [    hooks.py:  207]:\tstep: 9190\tsteps/sec: 1.37245\tloss: 0.50989\tlr:[4.375947e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:43,667 [    hooks.py:  207]:\tstep: 9200\tsteps/sec: 1.14717\tloss: 0.32402\tlr:[4.3752687e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:50:51,049 [    hooks.py:  207]:\tstep: 9210\tsteps/sec: 1.25100\tloss: 0.60552\tlr:[4.3745895e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:00,793 [    hooks.py:  207]:\tstep: 9220\tsteps/sec: 1.05638\tloss: 0.49383\tlr:[4.3739103e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:10,629 [    hooks.py:  207]:\tstep: 9230\tsteps/sec: 1.01793\tloss: 0.42699\tlr:[4.3732314e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:16,629 [    hooks.py:  207]:\tstep: 9240\tsteps/sec: 1.63830\tloss: 0.46593\tlr:[4.3725522e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:27,795 [    hooks.py:  207]:\tstep: 9250\tsteps/sec: 0.91586\tloss: 0.38237\tlr:[4.371873e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:35,656 [    hooks.py:  207]:\tstep: 9260\tsteps/sec: 1.20678\tloss: 0.60337\tlr:[4.3711945e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:44,579 [    hooks.py:  207]:\tstep: 9270\tsteps/sec: 1.16868\tloss: 0.76347\tlr:[4.370515e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:52,624 [    hooks.py:  207]:\tstep: 9280\tsteps/sec: 1.24206\tloss: 0.63227\tlr:[4.3698357e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:51:59,180 [    hooks.py:  207]:\tstep: 9290\tsteps/sec: 1.48833\tloss: 0.66731\tlr:[4.3691573e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:08,568 [    hooks.py:  207]:\tstep: 9300\tsteps/sec: 1.10412\tloss: 0.56550\tlr:[4.368478e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:17,648 [    hooks.py:  207]:\tstep: 9310\tsteps/sec: 1.09101\tloss: 0.79191\tlr:[4.3677992e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:26,024 [    hooks.py:  207]:\tstep: 9320\tsteps/sec: 1.17319\tloss: 0.91787\tlr:[4.36712e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:34,985 [    hooks.py:  207]:\tstep: 9330\tsteps/sec: 1.11631\tloss: 0.92037\tlr:[4.366441e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:41,178 [    hooks.py:  207]:\tstep: 9340\tsteps/sec: 1.53287\tloss: 0.44682\tlr:[4.365762e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:49,727 [    hooks.py:  207]:\tstep: 9350\tsteps/sec: 1.22562\tloss: 0.50984\tlr:[4.3650827e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:52:56,013 [    hooks.py:  207]:\tstep: 9360\tsteps/sec: 1.57471\tloss: 0.66300\tlr:[4.3644035e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:05,134 [    hooks.py:  207]:\tstep: 9370\tsteps/sec: 1.09267\tloss: 0.53388\tlr:[4.3637247e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:14,015 [    hooks.py:  207]:\tstep: 9380\tsteps/sec: 1.16298\tloss: 0.39558\tlr:[4.3630454e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:21,133 [    hooks.py:  207]:\tstep: 9390\tsteps/sec: 1.36872\tloss: 0.79181\tlr:[4.3623666e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:27,638 [    hooks.py:  207]:\tstep: 9400\tsteps/sec: 1.54638\tloss: 0.87344\tlr:[4.3616874e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:37,965 [    hooks.py:  207]:\tstep: 9410\tsteps/sec: 0.98132\tloss: 0.79856\tlr:[4.361008e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:47,561 [    hooks.py:  207]:\tstep: 9420\tsteps/sec: 1.02697\tloss: 0.41989\tlr:[4.360329e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:53:55,500 [    hooks.py:  207]:\tstep: 9430\tsteps/sec: 1.23826\tloss: 0.79157\tlr:[4.35965e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:04,047 [    hooks.py:  207]:\tstep: 9440\tsteps/sec: 1.16038\tloss: 0.41563\tlr:[4.358971e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:14,168 [    hooks.py:  207]:\tstep: 9450\tsteps/sec: 1.01768\tloss: 0.74504\tlr:[4.3582924e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:20,855 [    hooks.py:  207]:\tstep: 9460\tsteps/sec: 1.39595\tloss: 0.58781\tlr:[4.3576132e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:29,181 [    hooks.py:  207]:\tstep: 9470\tsteps/sec: 1.26573\tloss: 0.81747\tlr:[4.356934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:36,763 [    hooks.py:  207]:\tstep: 9480\tsteps/sec: 1.29007\tloss: 0.81274\tlr:[4.356255e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:45,988 [    hooks.py:  207]:\tstep: 9490\tsteps/sec: 1.08322\tloss: 0.46307\tlr:[4.355576e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:54:54,648 [    hooks.py:  207]:\tstep: 9500\tsteps/sec: 1.10894\tloss: 0.67334\tlr:[4.3548967e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:55:05,123 [    hooks.py:  207]:\tstep: 9510\tsteps/sec: 0.99480\tloss: 0.77151\tlr:[4.354218e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:55:11,617 [    hooks.py:  207]:\tstep: 9520\tsteps/sec: 1.55144\tloss: 0.79791\tlr:[4.353539e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:55:21,023 [    hooks.py:  207]:\tstep: 9530\tsteps/sec: 1.05748\tloss: 0.63624\tlr:[4.3528595e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:55:55,721 [    hooks.py:  207]:\tstep: 9570\tsteps/sec: 1.08179\tloss: 0.40925\tlr:[4.3501437e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:56:04,428 [    hooks.py:  207]:\tstep: 9580\tsteps/sec: 1.16365\tloss: 0.74317\tlr:[4.3494645e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 19:57:04,650 [    hooks.py:  207]:\tstep: 9650\tsteps/sec: 1.26944\tloss: 0.40574\tlr:[4.344711e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:57:14,165 [    hooks.py:  207]:\tstep: 9660\tsteps/sec: 1.06611\tloss: 0.47995\tlr:[4.344032e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:57:22,319 [    hooks.py:  207]:\tstep: 9670\tsteps/sec: 1.19094\tloss: 0.75624\tlr:[4.343353e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:57:31,795 [    hooks.py:  207]:\tstep: 9680\tsteps/sec: 1.05526\tloss: 0.46908\tlr:[4.342674e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:57:39,007 [    hooks.py:  207]:\tstep: 9690\tsteps/sec: 1.44225\tloss: 0.55731\tlr:[4.3419946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:57:46,377 [    hooks.py:  207]:\tstep: 9700\tsteps/sec: 1.31201\tloss: 0.56022\tlr:[4.3413154e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:57:53,081 [    hooks.py:  207]:\tstep: 9710\tsteps/sec: 1.53356\tloss: 0.73715\tlr:[4.340637e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:58:02,008 [    hooks.py:  207]:\tstep: 9720\tsteps/sec: 1.10240\tloss: 0.27510\tlr:[4.3399577e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:58:10,617 [    hooks.py:  207]:\tstep: 9730\tsteps/sec: 1.15490\tloss: 0.45672\tlr:[4.3392785e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:58:19,426 [    hooks.py:  207]:\tstep: 9740\tsteps/sec: 1.15239\tloss: 0.35507\tlr:[4.3385997e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:58:27,915 [    hooks.py:  207]:\tstep: 9750\tsteps/sec: 1.17656\tloss: 0.85436\tlr:[4.337921e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:58:36,371 [    hooks.py:  207]:\tstep: 9760\tsteps/sec: 1.15903\tloss: 0.77788\tlr:[4.3372416e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:58:44,117 [    hooks.py:  207]:\tstep: 9770\tsteps/sec: 1.32994\tloss: 0.53294\tlr:[4.3365624e-05]\u001b[0m\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 19:58:51,409 [    hooks.py:  207]:\tstep: 9780\tsteps/sec: 1.34407\tloss: 0.53627\tlr:[4.3358832e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:00,912 [    hooks.py:  207]:\tstep: 9790\tsteps/sec: 1.04678\tloss: 0.81699\tlr:[4.3352036e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:07,469 [    hooks.py:  207]:\tstep: 9800\tsteps/sec: 1.53633\tloss: 0.73811\tlr:[4.334525e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:16,457 [    hooks.py:  207]:\tstep: 9810\tsteps/sec: 1.10299\tloss: 0.77395\tlr:[4.3338463e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:24,678 [    hooks.py:  207]:\tstep: 9820\tsteps/sec: 1.17651\tloss: 0.53116\tlr:[4.333167e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:32,659 [    hooks.py:  207]:\tstep: 9830\tsteps/sec: 1.32421\tloss: 0.55264\tlr:[4.3324882e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:42,104 [    hooks.py:  207]:\tstep: 9840\tsteps/sec: 1.04170\tloss: 0.60916\tlr:[4.331809e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:50,513 [    hooks.py:  207]:\tstep: 9850\tsteps/sec: 1.18567\tloss: 0.63297\tlr:[4.33113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 19:59:59,149 [    hooks.py:  207]:\tstep: 9860\tsteps/sec: 1.21142\tloss: 0.58024\tlr:[4.330451e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:08,918 [    hooks.py:  207]:\tstep: 9870\tsteps/sec: 1.01515\tloss: 0.33307\tlr:[4.3297718e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:18,095 [    hooks.py:  207]:\tstep: 9880\tsteps/sec: 1.08474\tloss: 0.29051\tlr:[4.3290926e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:26,646 [    hooks.py:  207]:\tstep: 9890\tsteps/sec: 1.14324\tloss: 0.70242\tlr:[4.3284137e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:35,326 [    hooks.py:  207]:\tstep: 9900\tsteps/sec: 1.14707\tloss: 0.80975\tlr:[4.327735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:43,209 [    hooks.py:  207]:\tstep: 9910\tsteps/sec: 1.30879\tloss: 1.00460\tlr:[4.3270556e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:50,759 [    hooks.py:  207]:\tstep: 9920\tsteps/sec: 1.24337\tloss: 0.45933\tlr:[4.326376e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:00:59,609 [    hooks.py:  207]:\tstep: 9930\tsteps/sec: 1.20059\tloss: 0.75574\tlr:[4.3256976e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:07,947 [    hooks.py:  207]:\tstep: 9940\tsteps/sec: 1.14048\tloss: 0.62199\tlr:[4.3250184e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:16,945 [    hooks.py:  207]:\tstep: 9950\tsteps/sec: 1.12534\tloss: 0.80061\tlr:[4.3243395e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:23,891 [    hooks.py:  207]:\tstep: 9960\tsteps/sec: 1.49097\tloss: 0.51025\tlr:[4.3236603e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:32,424 [    hooks.py:  207]:\tstep: 9970\tsteps/sec: 1.16200\tloss: 0.48058\tlr:[4.3229815e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:40,765 [    hooks.py:  207]:\tstep: 9980\tsteps/sec: 1.18173\tloss: 0.52338\tlr:[4.3223023e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:48,174 [    hooks.py:  207]:\tstep: 9990\tsteps/sec: 1.39377\tloss: 0.60275\tlr:[4.321623e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:55,963 [    hooks.py:  207]:\tstep: 10000\tsteps/sec: 1.20217\tloss: 0.54226\tlr:[4.3209442e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:55,964 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:55,964 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:55,964 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:01:55,964 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:55,965 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c5db390>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:01:55,965 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c87e0f0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:09:47,800 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,802 [  trainer.py:   58]:\t{'acc': 0.7598393574297189, 'loss': 0.5944234219690164}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,802 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,802 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:09:47,803 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:09:47,803 [  trainer.py:   70]:\tacc\t0.7598393574297189\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:09:47,803 [  trainer.py:   70]:\tloss\t0.5944234219690164\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:09:47,803 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,804 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}} \n",
      "old: {'eval': {'acc': 0.7586345381526104, 'loss': 0.6162728340579913}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,804 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,804 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_9000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:47,805 [monitored_executor.py:  122]:\tsaving step 10000 to ./output/best_model/model_10000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:48,802 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_9000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:48,802 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}} \n",
      "old: {'eval': {'acc': 0.7586345381526104, 'loss': 0.6162728340579913}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:48,803 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:48,803 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:50,253 [monitored_executor.py:  122]:\tsaving step 10000 to ./output/model_10000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:09:53,668 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_7000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:04,437 [    hooks.py:  207]:\tstep: 10010\tsteps/sec: 0.02049\tloss: 0.57604\tlr:[4.3202654e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:12,400 [    hooks.py:  207]:\tstep: 10020\tsteps/sec: 1.19407\tloss: 0.93721\tlr:[4.319586e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:20,998 [    hooks.py:  207]:\tstep: 10030\tsteps/sec: 1.20528\tloss: 0.67139\tlr:[4.318907e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:31,585 [    hooks.py:  207]:\tstep: 10040\tsteps/sec: 0.94638\tloss: 0.37881\tlr:[4.318228e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:40,073 [    hooks.py:  207]:\tstep: 10050\tsteps/sec: 1.18068\tloss: 0.31287\tlr:[4.317549e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:47,220 [    hooks.py:  207]:\tstep: 10060\tsteps/sec: 1.38114\tloss: 0.57273\tlr:[4.31687e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:10:55,473 [    hooks.py:  207]:\tstep: 10070\tsteps/sec: 1.16978\tloss: 0.96805\tlr:[4.316191e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:05,017 [    hooks.py:  207]:\tstep: 10080\tsteps/sec: 1.09459\tloss: 0.60513\tlr:[4.3155116e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:11,640 [    hooks.py:  207]:\tstep: 10090\tsteps/sec: 1.42047\tloss: 0.79941\tlr:[4.3148328e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:20,173 [    hooks.py:  207]:\tstep: 10100\tsteps/sec: 1.16948\tloss: 0.52511\tlr:[4.3141536e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:29,562 [    hooks.py:  207]:\tstep: 10110\tsteps/sec: 1.08601\tloss: 0.46332\tlr:[4.3134743e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:37,733 [    hooks.py:  207]:\tstep: 10120\tsteps/sec: 1.21382\tloss: 0.52352\tlr:[4.3127955e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:47,601 [    hooks.py:  207]:\tstep: 10130\tsteps/sec: 1.04473\tloss: 0.91078\tlr:[4.3121163e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:11:55,662 [    hooks.py:  207]:\tstep: 10140\tsteps/sec: 1.22652\tloss: 0.61326\tlr:[4.3114374e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:12:04,248 [    hooks.py:  207]:\tstep: 10150\tsteps/sec: 1.14546\tloss: 0.80191\tlr:[4.3107582e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:12:13,078 [    hooks.py:  207]:\tstep: 10160\tsteps/sec: 1.16567\tloss: 0.52537\tlr:[4.3100794e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:12:21,352 [    hooks.py:  207]:\tstep: 10170\tsteps/sec: 1.20745\tloss: 0.52301\tlr:[4.3094e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:12:28,893 [    hooks.py:  207]:\tstep: 10180\tsteps/sec: 1.35896\tloss: 0.68534\tlr:[4.308721e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:12:35,855 [    hooks.py:  207]:\tstep: 10190\tsteps/sec: 1.31170\tloss: 0.68020\tlr:[4.308042e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 20:12:47,895 [    hooks.py:  207]:\tstep: 10200\tsteps/sec: 0.87180\tloss: 0.36446\tlr:[4.307363e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:12:56,538 [    hooks.py:  207]:\tstep: 10210\tsteps/sec: 1.15066\tloss: 0.69261\tlr:[4.306684e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:13:32,479 [    hooks.py:  207]:\tstep: 10250\tsteps/sec: 1.29733\tloss: 0.85551\tlr:[4.303968e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:13:39,739 [    hooks.py:  207]:\tstep: 10260\tsteps/sec: 1.41051\tloss: 0.77619\tlr:[4.3032887e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:13:49,025 [    hooks.py:  207]:\tstep: 10270\tsteps/sec: 1.04239\tloss: 0.59848\tlr:[4.3026095e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:13:57,910 [    hooks.py:  207]:\tstep: 10280\tsteps/sec: 1.11854\tloss: 0.79305\tlr:[4.3019307e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:14:07,840 [    hooks.py:  207]:\tstep: 10290\tsteps/sec: 1.02286\tloss: 0.69166\tlr:[4.3012515e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:17:28,186 [    hooks.py:  207]:\tstep: 10530\tsteps/sec: 1.55650\tloss: 0.51577\tlr:[4.284954e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:17:35,394 [    hooks.py:  207]:\tstep: 10540\tsteps/sec: 1.36911\tloss: 0.53961\tlr:[4.2842752e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:17:44,973 [    hooks.py:  207]:\tstep: 10550\tsteps/sec: 1.04979\tloss: 0.71416\tlr:[4.283596e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:17:52,078 [    hooks.py:  207]:\tstep: 10560\tsteps/sec: 1.36715\tloss: 0.80550\tlr:[4.282917e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:18:16,560 [    hooks.py:  207]:\tstep: 10590\tsteps/sec: 1.26079\tloss: 0.49325\tlr:[4.2808795e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:18:25,968 [    hooks.py:  207]:\tstep: 10600\tsteps/sec: 1.10291\tloss: 0.60049\tlr:[4.2802007e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:18:36,836 [    hooks.py:  207]:\tstep: 10610\tsteps/sec: 0.93108\tloss: 0.48739\tlr:[4.2795218e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:18:43,389 [    hooks.py:  207]:\tstep: 10620\tsteps/sec: 1.48513\tloss: 0.45199\tlr:[4.2788426e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:18:51,124 [    hooks.py:  207]:\tstep: 10630\tsteps/sec: 1.32225\tloss: 0.62769\tlr:[4.2781634e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:01,136 [    hooks.py:  207]:\tstep: 10640\tsteps/sec: 1.01495\tloss: 0.49411\tlr:[4.2774842e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:09,390 [    hooks.py:  207]:\tstep: 10650\tsteps/sec: 1.20921\tloss: 0.38510\tlr:[4.276805e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:18,053 [    hooks.py:  207]:\tstep: 10660\tsteps/sec: 1.11370\tloss: 0.85593\tlr:[4.276126e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:27,641 [    hooks.py:  207]:\tstep: 10670\tsteps/sec: 1.05612\tloss: 0.58590\tlr:[4.2754473e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:34,318 [    hooks.py:  207]:\tstep: 10680\tsteps/sec: 1.49817\tloss: 0.54929\tlr:[4.2747684e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:43,868 [    hooks.py:  207]:\tstep: 10690\tsteps/sec: 1.07816\tloss: 0.60647\tlr:[4.2740892e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:52,520 [    hooks.py:  207]:\tstep: 10700\tsteps/sec: 1.11606\tloss: 0.76229\tlr:[4.27341e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:19:59,563 [    hooks.py:  207]:\tstep: 10710\tsteps/sec: 1.50162\tloss: 0.40810\tlr:[4.272731e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:07,898 [    hooks.py:  207]:\tstep: 10720\tsteps/sec: 1.17024\tloss: 0.47941\tlr:[4.2720523e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:16,542 [    hooks.py:  207]:\tstep: 10730\tsteps/sec: 1.13815\tloss: 0.36163\tlr:[4.271373e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:26,125 [    hooks.py:  207]:\tstep: 10740\tsteps/sec: 1.04707\tloss: 0.83048\tlr:[4.270694e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:32,703 [    hooks.py:  207]:\tstep: 10750\tsteps/sec: 1.51615\tloss: 0.63835\tlr:[4.2700147e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:39,950 [    hooks.py:  207]:\tstep: 10760\tsteps/sec: 1.31289\tloss: 1.02713\tlr:[4.2693362e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:48,979 [    hooks.py:  207]:\tstep: 10770\tsteps/sec: 1.19393\tloss: 0.50148\tlr:[4.2686566e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:20:57,045 [    hooks.py:  207]:\tstep: 10780\tsteps/sec: 1.15473\tloss: 0.49550\tlr:[4.2679774e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:21:05,335 [    hooks.py:  207]:\tstep: 10790\tsteps/sec: 1.25183\tloss: 0.61192\tlr:[4.2672986e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:21:13,944 [    hooks.py:  207]:\tstep: 10800\tsteps/sec: 1.15427\tloss: 0.95892\tlr:[4.2666197e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:21:21,799 [    hooks.py:  207]:\tstep: 10810\tsteps/sec: 1.29306\tloss: 0.68914\tlr:[4.2659405e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:21:29,922 [    hooks.py:  207]:\tstep: 10820\tsteps/sec: 1.18098\tloss: 0.60999\tlr:[4.2652613e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:21:38,385 [    hooks.py:  207]:\tstep: 10830\tsteps/sec: 1.24962\tloss: 0.92866\tlr:[4.2645825e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:21:48,801 [    hooks.py:  207]:\tstep: 10840\tsteps/sec: 0.96394\tloss: 0.69299\tlr:[4.2639032e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 20:21:56,703 [    hooks.py:  207]:\tstep: 10850\tsteps/sec: 1.22914\tloss: 0.46718\tlr:[4.263224e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:05,350 [    hooks.py:  207]:\tstep: 10860\tsteps/sec: 1.16425\tloss: 0.79723\tlr:[4.2625452e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:12,028 [    hooks.py:  207]:\tstep: 10870\tsteps/sec: 1.42032\tloss: 0.54006\tlr:[4.261866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:20,758 [    hooks.py:  207]:\tstep: 10880\tsteps/sec: 1.18813\tloss: 0.51662\tlr:[4.2611868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:29,708 [    hooks.py:  207]:\tstep: 10890\tsteps/sec: 1.15186\tloss: 0.86264\tlr:[4.2605076e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:37,123 [    hooks.py:  207]:\tstep: 10900\tsteps/sec: 1.30593\tloss: 0.84273\tlr:[4.259829e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:44,822 [    hooks.py:  207]:\tstep: 10910\tsteps/sec: 1.26421\tloss: 0.87558\tlr:[4.2591502e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:22:53,727 [    hooks.py:  207]:\tstep: 10920\tsteps/sec: 1.18110\tloss: 0.45456\tlr:[4.258471e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:03,285 [    hooks.py:  207]:\tstep: 10930\tsteps/sec: 1.00660\tloss: 1.20816\tlr:[4.2577914e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:11,526 [    hooks.py:  207]:\tstep: 10940\tsteps/sec: 1.24707\tloss: 0.60920\tlr:[4.2571126e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:19,775 [    hooks.py:  207]:\tstep: 10950\tsteps/sec: 1.23858\tloss: 0.58886\tlr:[4.2564334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:28,207 [    hooks.py:  207]:\tstep: 10960\tsteps/sec: 1.16625\tloss: 0.31752\tlr:[4.255755e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:35,395 [    hooks.py:  207]:\tstep: 10970\tsteps/sec: 1.37432\tloss: 0.33283\tlr:[4.2550753e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:43,642 [    hooks.py:  207]:\tstep: 10980\tsteps/sec: 1.23642\tloss: 0.82187\tlr:[4.2543965e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:50,474 [    hooks.py:  207]:\tstep: 10990\tsteps/sec: 1.43540\tloss: 0.55925\tlr:[4.2537176e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:58,771 [    hooks.py:  207]:\tstep: 11000\tsteps/sec: 1.24756\tloss: 1.00092\tlr:[4.2530384e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:58,771 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:58,771 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:58,772 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:23:58,772 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:58,772 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c5f2a58>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:23:58,772 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c6f6f28>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:31:50,600 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,602 [  trainer.py:   58]:\t{'acc': 0.7457831325301205, 'loss': 0.6204742030837597}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,602 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,602 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:31:50,603 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:31:50,603 [  trainer.py:   70]:\tacc\t0.7457831325301205\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:31:50,603 [  trainer.py:   70]:\tloss\t0.6204742030837597\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:31:50,603 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,603 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7457831325301205, 'loss': 0.6204742030837597}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,604 [ exporter.py:   64]:\t[Best Exporter]: skip step 11000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,604 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7457831325301205, 'loss': 0.6204742030837597}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,604 [ exporter.py:  104]:\t[Best Exporter]: skip step 11000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:50,605 [monitored_executor.py:  122]:\tsaving step 11000 to ./output/model_11000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:31:53,941 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_8000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:02,574 [    hooks.py:  207]:\tstep: 11010\tsteps/sec: 0.02068\tloss: 0.69136\tlr:[4.2523592e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:10,769 [    hooks.py:  207]:\tstep: 11020\tsteps/sec: 1.14556\tloss: 0.48441\tlr:[4.2516804e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:20,586 [    hooks.py:  207]:\tstep: 11030\tsteps/sec: 1.03145\tloss: 0.61891\tlr:[4.2510015e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:28,535 [    hooks.py:  207]:\tstep: 11040\tsteps/sec: 1.27173\tloss: 0.61633\tlr:[4.2503223e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:36,946 [    hooks.py:  207]:\tstep: 11050\tsteps/sec: 1.16250\tloss: 0.68355\tlr:[4.249643e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:46,609 [    hooks.py:  207]:\tstep: 11060\tsteps/sec: 1.03172\tloss: 0.74183\tlr:[4.2489643e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:32:55,060 [    hooks.py:  207]:\tstep: 11070\tsteps/sec: 1.21981\tloss: 0.48447\tlr:[4.248285e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:33:03,125 [    hooks.py:  207]:\tstep: 11080\tsteps/sec: 1.27670\tloss: 0.70769\tlr:[4.247606e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:33:11,792 [    hooks.py:  207]:\tstep: 11090\tsteps/sec: 1.09908\tloss: 0.79862\tlr:[4.246927e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:33:20,222 [    hooks.py:  207]:\tstep: 11100\tsteps/sec: 1.19963\tloss: 0.57515\tlr:[4.2462478e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:33:28,988 [    hooks.py:  207]:\tstep: 11110\tsteps/sec: 1.12078\tloss: 0.94972\tlr:[4.2455686e-05]\u001b[0m\n",
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     ]
    },
    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-18 20:45:33,038 [    hooks.py:  207]:\tstep: 11960\tsteps/sec: 1.04028\tloss: 0.46901\tlr:[4.187849e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:45:58,689 [    hooks.py:  207]:\tstep: 11990\tsteps/sec: 1.24109\tloss: 0.43947\tlr:[4.1858122e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:46:09,775 [    hooks.py:  207]:\tstep: 12000\tsteps/sec: 0.92402\tloss: 1.00230\tlr:[4.1851326e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:46:09,775 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:46:09,775 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:46:09,775 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:46:09,776 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:46:09,776 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf839f3748>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:46:09,776 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c91ea58>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:54:02,737 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,738 [  trainer.py:   58]:\t{'acc': 0.7493975903614458, 'loss': 0.6266522885133059}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,739 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,739 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:54:02,739 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:54:02,740 [  trainer.py:   70]:\tacc\t0.7493975903614458\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:54:02,740 [  trainer.py:   70]:\tloss\t0.6266522885133059\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 20:54:02,740 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,740 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7493975903614458, 'loss': 0.6266522885133059}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,740 [ exporter.py:   64]:\t[Best Exporter]: skip step 12000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,740 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7493975903614458, 'loss': 0.6266522885133059}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,740 [ exporter.py:  104]:\t[Best Exporter]: skip step 12000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:02,741 [monitored_executor.py:  122]:\tsaving step 12000 to ./output/model_12000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:05,841 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_9000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:13,334 [    hooks.py:  207]:\tstep: 12010\tsteps/sec: 0.02066\tloss: 0.63636\tlr:[4.1844538e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:24,012 [    hooks.py:  207]:\tstep: 12020\tsteps/sec: 0.97808\tloss: 0.63420\tlr:[4.1837746e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:31,057 [    hooks.py:  207]:\tstep: 12030\tsteps/sec: 1.31658\tloss: 0.59465\tlr:[4.1830957e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:39,853 [    hooks.py:  207]:\tstep: 12040\tsteps/sec: 1.23117\tloss: 0.57581\tlr:[4.1824165e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:49,792 [    hooks.py:  207]:\tstep: 12050\tsteps/sec: 1.00242\tloss: 0.38345\tlr:[4.1817373e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:54:58,060 [    hooks.py:  207]:\tstep: 12060\tsteps/sec: 1.15469\tloss: 0.49803\tlr:[4.1810585e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:55:24,548 [    hooks.py:  207]:\tstep: 12090\tsteps/sec: 1.41019\tloss: 0.84073\tlr:[4.179021e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:55:32,484 [    hooks.py:  207]:\tstep: 12100\tsteps/sec: 1.21601\tloss: 0.67026\tlr:[4.178342e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:55:41,964 [    hooks.py:  207]:\tstep: 12110\tsteps/sec: 1.05934\tloss: 0.46717\tlr:[4.177663e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:55:50,447 [    hooks.py:  207]:\tstep: 12120\tsteps/sec: 1.20893\tloss: 0.55042\tlr:[4.1769836e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:55:59,513 [    hooks.py:  207]:\tstep: 12130\tsteps/sec: 1.07619\tloss: 0.75693\tlr:[4.176305e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:56:19,264 [    hooks.py:  207]:\tstep: 12150\tsteps/sec: 1.04995\tloss: 0.77353\tlr:[4.1749467e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:56:27,454 [    hooks.py:  207]:\tstep: 12160\tsteps/sec: 1.17433\tloss: 0.71049\tlr:[4.1742678e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:56:39,247 [    hooks.py:  207]:\tstep: 12170\tsteps/sec: 0.87802\tloss: 0.46214\tlr:[4.1735886e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:56:48,912 [    hooks.py:  207]:\tstep: 12180\tsteps/sec: 1.01559\tloss: 0.28141\tlr:[4.1729098e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:56:58,381 [    hooks.py:  207]:\tstep: 12190\tsteps/sec: 1.04116\tloss: 0.43156\tlr:[4.1722305e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:57:07,210 [    hooks.py:  207]:\tstep: 12200\tsteps/sec: 1.14466\tloss: 0.30310\tlr:[4.1715513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:57:15,395 [    hooks.py:  207]:\tstep: 12210\tsteps/sec: 1.24753\tloss: 0.70441\tlr:[4.1708725e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:57:23,529 [    hooks.py:  207]:\tstep: 12220\tsteps/sec: 1.20440\tloss: 0.85715\tlr:[4.1701936e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:57:31,802 [    hooks.py:  207]:\tstep: 12230\tsteps/sec: 1.15090\tloss: 0.64709\tlr:[4.1695144e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:57:42,391 [    hooks.py:  207]:\tstep: 12240\tsteps/sec: 0.97128\tloss: 0.46343\tlr:[4.168835e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:57:51,672 [    hooks.py:  207]:\tstep: 12250\tsteps/sec: 1.07518\tloss: 0.70311\tlr:[4.168156e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:58:00,726 [    hooks.py:  207]:\tstep: 12260\tsteps/sec: 1.07952\tloss: 0.64806\tlr:[4.1674775e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:58:25,848 [    hooks.py:  207]:\tstep: 12290\tsteps/sec: 1.08502\tloss: 0.52379\tlr:[4.16544e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:58:36,533 [    hooks.py:  207]:\tstep: 12300\tsteps/sec: 0.94321\tloss: 0.73873\tlr:[4.164761e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:58:46,220 [    hooks.py:  207]:\tstep: 12310\tsteps/sec: 1.06866\tloss: 0.34425\tlr:[4.164082e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:58:54,806 [    hooks.py:  207]:\tstep: 12320\tsteps/sec: 1.20558\tloss: 0.47837\tlr:[4.163403e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:59:03,128 [    hooks.py:  207]:\tstep: 12330\tsteps/sec: 1.19966\tloss: 0.74685\tlr:[4.1627238e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:59:12,554 [    hooks.py:  207]:\tstep: 12340\tsteps/sec: 1.02649\tloss: 1.08661\tlr:[4.1620446e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:59:20,947 [    hooks.py:  207]:\tstep: 12350\tsteps/sec: 1.19550\tloss: 1.04288\tlr:[4.1613654e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 20:59:30,495 [    hooks.py:  207]:\tstep: 12360\tsteps/sec: 1.07293\tloss: 0.56124\tlr:[4.1606865e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 20:59:57,145 [    hooks.py:  207]:\tstep: 12390\tsteps/sec: 1.07747\tloss: 0.61905\tlr:[4.158649e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:00:07,413 [    hooks.py:  207]:\tstep: 12400\tsteps/sec: 1.00812\tloss: 1.23940\tlr:[4.1579704e-05]\u001b[0m\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 21:00:22,845 [    hooks.py:  207]:\tstep: 12420\tsteps/sec: 1.35775\tloss: 0.60006\tlr:[4.1566123e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:07:42,708 [    hooks.py:  207]:\tstep: 12930\tsteps/sec: 1.16705\tloss: 0.54667\tlr:[4.1219802e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:07:50,236 [    hooks.py:  207]:\tstep: 12940\tsteps/sec: 1.38112\tloss: 0.53895\tlr:[4.1213014e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:07:58,484 [    hooks.py:  207]:\tstep: 12950\tsteps/sec: 1.15707\tloss: 0.58650\tlr:[4.1206225e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:08,634 [    hooks.py:  207]:\tstep: 12960\tsteps/sec: 0.96887\tloss: 0.59842\tlr:[4.119943e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:17,609 [    hooks.py:  207]:\tstep: 12970\tsteps/sec: 1.14534\tloss: 0.44092\tlr:[4.1192645e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:27,623 [    hooks.py:  207]:\tstep: 12980\tsteps/sec: 1.00268\tloss: 0.59312\tlr:[4.1185853e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:35,961 [    hooks.py:  207]:\tstep: 12990\tsteps/sec: 1.14979\tloss: 0.56273\tlr:[4.1179057e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:45,945 [    hooks.py:  207]:\tstep: 13000\tsteps/sec: 1.04436\tloss: 0.52486\tlr:[4.1172272e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:45,945 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:45,945 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:45,946 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:08:45,946 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:45,946 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c91ea58>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:08:45,946 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83b5f9e8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:16:46,772 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,773 [  trainer.py:   58]:\t{'acc': 0.755421686746988, 'loss': 0.6143025574393761}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,774 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,774 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:16:46,774 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:16:46,774 [  trainer.py:   70]:\tacc\t0.755421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:16:46,775 [  trainer.py:   70]:\tloss\t0.6143025574393761\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:16:46,775 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,775 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.755421686746988, 'loss': 0.6143025574393761}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,775 [ exporter.py:   64]:\t[Best Exporter]: skip step 13000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,775 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.755421686746988, 'loss': 0.6143025574393761}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,775 [ exporter.py:  104]:\t[Best Exporter]: skip step 13000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:46,776 [monitored_executor.py:  122]:\tsaving step 13000 to ./output/model_13000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 21:16:50,335 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_10000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:16:59,703 [    hooks.py:  207]:\tstep: 13010\tsteps/sec: 0.02026\tloss: 0.51758\tlr:[4.1165476e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:25:26,112 [    hooks.py:  207]:\tstep: 13590\tsteps/sec: 1.22633\tloss: 0.67147\tlr:[4.0771625e-05]\u001b[0m\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-18 21:26:19,997 [    hooks.py:  207]:\tstep: 13650\tsteps/sec: 1.14922\tloss: 0.50655\tlr:[4.0730883e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:27:33,273 [    hooks.py:  207]:\tstep: 13730\tsteps/sec: 0.98145\tloss: 1.03076\tlr:[4.067656e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:27:39,529 [    hooks.py:  207]:\tstep: 13740\tsteps/sec: 1.55978\tloss: 0.72456\tlr:[4.066977e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:27:50,206 [    hooks.py:  207]:\tstep: 13750\tsteps/sec: 0.97490\tloss: 0.99333\tlr:[4.066298e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:27:57,460 [    hooks.py:  207]:\tstep: 13760\tsteps/sec: 1.26675\tloss: 0.53676\tlr:[4.065619e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:28:06,326 [    hooks.py:  207]:\tstep: 13770\tsteps/sec: 1.14205\tloss: 0.65935\tlr:[4.0649396e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:28:15,604 [    hooks.py:  207]:\tstep: 13780\tsteps/sec: 1.14170\tloss: 0.65501\tlr:[4.0642608e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:28:22,912 [    hooks.py:  207]:\tstep: 13790\tsteps/sec: 1.32264\tloss: 0.29741\tlr:[4.0635816e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:28:32,641 [    hooks.py:  207]:\tstep: 13800\tsteps/sec: 1.01659\tloss: 0.25330\tlr:[4.0629024e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:28:41,759 [    hooks.py:  207]:\tstep: 13810\tsteps/sec: 1.09551\tloss: 0.66417\tlr:[4.0622235e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:28:53,549 [    hooks.py:  207]:\tstep: 13820\tsteps/sec: 0.85784\tloss: 0.76011\tlr:[4.0615443e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:00,433 [    hooks.py:  207]:\tstep: 13830\tsteps/sec: 1.54239\tloss: 0.23579\tlr:[4.0608655e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:07,509 [    hooks.py:  207]:\tstep: 13840\tsteps/sec: 1.32625\tloss: 0.81826\tlr:[4.0601866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:14,533 [    hooks.py:  207]:\tstep: 13850\tsteps/sec: 1.45680\tloss: 0.70454\tlr:[4.059507e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:22,938 [    hooks.py:  207]:\tstep: 13860\tsteps/sec: 1.16356\tloss: 1.09401\tlr:[4.0588282e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:30,780 [    hooks.py:  207]:\tstep: 13870\tsteps/sec: 1.33151\tloss: 0.84357\tlr:[4.0581497e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:38,905 [    hooks.py:  207]:\tstep: 13880\tsteps/sec: 1.18813\tloss: 0.84296\tlr:[4.05747e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:45,999 [    hooks.py:  207]:\tstep: 13890\tsteps/sec: 1.45384\tloss: 0.63103\tlr:[4.056791e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:29:56,437 [    hooks.py:  207]:\tstep: 13900\tsteps/sec: 0.93034\tloss: 0.58677\tlr:[4.0561124e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:06,674 [    hooks.py:  207]:\tstep: 13910\tsteps/sec: 0.97927\tloss: 0.55060\tlr:[4.055433e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:14,899 [    hooks.py:  207]:\tstep: 13920\tsteps/sec: 1.21195\tloss: 0.52190\tlr:[4.0547544e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:25,327 [    hooks.py:  207]:\tstep: 13930\tsteps/sec: 0.99550\tloss: 0.79788\tlr:[4.054075e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:34,632 [    hooks.py:  207]:\tstep: 13940\tsteps/sec: 1.05646\tloss: 0.60629\tlr:[4.0533963e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:42,017 [    hooks.py:  207]:\tstep: 13950\tsteps/sec: 1.25202\tloss: 0.41358\tlr:[4.052717e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:51,135 [    hooks.py:  207]:\tstep: 13960\tsteps/sec: 1.19234\tloss: 0.33009\tlr:[4.052038e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:30:58,341 [    hooks.py:  207]:\tstep: 13970\tsteps/sec: 1.33747\tloss: 0.34191\tlr:[4.051359e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:06,596 [    hooks.py:  207]:\tstep: 13980\tsteps/sec: 1.21398\tloss: 1.13117\tlr:[4.05068e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:13,649 [    hooks.py:  207]:\tstep: 13990\tsteps/sec: 1.40636\tloss: 0.37883\tlr:[4.0500006e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:20,475 [    hooks.py:  207]:\tstep: 14000\tsteps/sec: 1.47183\tloss: 0.89890\tlr:[4.0493214e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:20,476 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:20,476 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:20,476 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:31:20,476 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:20,476 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf839fbb00>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:31:20,477 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83bad630>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:39:14,660 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,662 [  trainer.py:   58]:\t{'acc': 0.7698795180722892, 'loss': 0.594362390251496}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,662 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,663 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:39:14,663 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:39:14,663 [  trainer.py:   70]:\tacc\t0.7698795180722892\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:39:14,663 [  trainer.py:   70]:\tloss\t0.594362390251496\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:39:14,663 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,663 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,663 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,664 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_10000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:14,665 [monitored_executor.py:  122]:\tsaving step 14000 to ./output/best_model/model_14000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:15,617 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_10000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:15,618 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}} \n",
      "old: {'eval': {'acc': 0.7598393574297189, 'loss': 0.5944234219690164}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:15,618 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:15,618 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:16,843 [monitored_executor.py:  122]:\tsaving step 14000 to ./output/model_14000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:19,999 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_11000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:29,088 [    hooks.py:  207]:\tstep: 14010\tsteps/sec: 0.02046\tloss: 0.39247\tlr:[4.0486426e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:37,464 [    hooks.py:  207]:\tstep: 14020\tsteps/sec: 1.19076\tloss: 0.77708\tlr:[4.0479637e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:45,395 [    hooks.py:  207]:\tstep: 14030\tsteps/sec: 1.31615\tloss: 0.72299\tlr:[4.0472845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:39:53,163 [    hooks.py:  207]:\tstep: 14040\tsteps/sec: 1.23851\tloss: 0.62873\tlr:[4.0466053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:03,433 [    hooks.py:  207]:\tstep: 14050\tsteps/sec: 0.97015\tloss: 0.43813\tlr:[4.045926e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:11,485 [    hooks.py:  207]:\tstep: 14060\tsteps/sec: 1.30361\tloss: 0.48820\tlr:[4.0452473e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 21:40:18,618 [    hooks.py:  207]:\tstep: 14070\tsteps/sec: 1.33885\tloss: 0.90927\tlr:[4.044568e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:26,494 [    hooks.py:  207]:\tstep: 14080\tsteps/sec: 1.28332\tloss: 0.76709\tlr:[4.0438892e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:34,065 [    hooks.py:  207]:\tstep: 14090\tsteps/sec: 1.29677\tloss: 0.69640\tlr:[4.0432104e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:42,171 [    hooks.py:  207]:\tstep: 14100\tsteps/sec: 1.18503\tloss: 0.76730\tlr:[4.042531e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:50,753 [    hooks.py:  207]:\tstep: 14110\tsteps/sec: 1.28216\tloss: 0.64339\tlr:[4.0418516e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:40:57,990 [    hooks.py:  207]:\tstep: 14120\tsteps/sec: 1.26815\tloss: 0.54866\tlr:[4.0411727e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:08,254 [    hooks.py:  207]:\tstep: 14130\tsteps/sec: 0.97260\tloss: 0.33301\tlr:[4.040494e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:16,550 [    hooks.py:  207]:\tstep: 14140\tsteps/sec: 1.20364\tloss: 1.22798\tlr:[4.039815e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:26,303 [    hooks.py:  207]:\tstep: 14150\tsteps/sec: 1.08878\tloss: 0.55813\tlr:[4.039136e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:35,786 [    hooks.py:  207]:\tstep: 14160\tsteps/sec: 1.01784\tloss: 0.41723\tlr:[4.0384566e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:45,319 [    hooks.py:  207]:\tstep: 14170\tsteps/sec: 1.08919\tloss: 0.84154\tlr:[4.037778e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:52,605 [    hooks.py:  207]:\tstep: 14180\tsteps/sec: 1.30977\tloss: 0.69847\tlr:[4.037099e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:41:59,937 [    hooks.py:  207]:\tstep: 14190\tsteps/sec: 1.44634\tloss: 0.52845\tlr:[4.0364197e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:08,956 [    hooks.py:  207]:\tstep: 14200\tsteps/sec: 1.07836\tloss: 1.05208\tlr:[4.0357405e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:16,347 [    hooks.py:  207]:\tstep: 14210\tsteps/sec: 1.38734\tloss: 0.34230\tlr:[4.0350613e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:24,957 [    hooks.py:  207]:\tstep: 14220\tsteps/sec: 1.14523\tloss: 0.60655\tlr:[4.0343824e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:33,117 [    hooks.py:  207]:\tstep: 14230\tsteps/sec: 1.16154\tloss: 0.44978\tlr:[4.0337032e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:41,527 [    hooks.py:  207]:\tstep: 14240\tsteps/sec: 1.28838\tloss: 0.54713\tlr:[4.0330244e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:48,520 [    hooks.py:  207]:\tstep: 14250\tsteps/sec: 1.36605\tloss: 0.51008\tlr:[4.032345e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:42:56,708 [    hooks.py:  207]:\tstep: 14260\tsteps/sec: 1.22985\tloss: 0.40777\tlr:[4.031666e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:05,407 [    hooks.py:  207]:\tstep: 14270\tsteps/sec: 1.17027\tloss: 0.72040\tlr:[4.0309867e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:13,624 [    hooks.py:  207]:\tstep: 14280\tsteps/sec: 1.19069\tloss: 0.46365\tlr:[4.0303083e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:22,192 [    hooks.py:  207]:\tstep: 14290\tsteps/sec: 1.10074\tloss: 0.33753\tlr:[4.0296287e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:31,168 [    hooks.py:  207]:\tstep: 14300\tsteps/sec: 1.16030\tloss: 1.02119\tlr:[4.0289495e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:38,694 [    hooks.py:  207]:\tstep: 14310\tsteps/sec: 1.34080\tloss: 0.78393\tlr:[4.0282706e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:47,360 [    hooks.py:  207]:\tstep: 14320\tsteps/sec: 1.15657\tloss: 0.61225\tlr:[4.027592e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:43:56,910 [    hooks.py:  207]:\tstep: 14330\tsteps/sec: 1.05172\tloss: 0.37861\tlr:[4.026913e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:06,871 [    hooks.py:  207]:\tstep: 14340\tsteps/sec: 0.99473\tloss: 0.52614\tlr:[4.0262334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:14,699 [    hooks.py:  207]:\tstep: 14350\tsteps/sec: 1.31244\tloss: 0.61427\tlr:[4.0255545e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:23,134 [    hooks.py:  207]:\tstep: 14360\tsteps/sec: 1.16532\tloss: 0.52837\tlr:[4.0248753e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:30,006 [    hooks.py:  207]:\tstep: 14370\tsteps/sec: 1.49857\tloss: 0.51319\tlr:[4.024197e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:41,242 [    hooks.py:  207]:\tstep: 14380\tsteps/sec: 0.90264\tloss: 0.81566\tlr:[4.0235172e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:47,896 [    hooks.py:  207]:\tstep: 14390\tsteps/sec: 1.42610\tloss: 0.78103\tlr:[4.0228384e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:44:55,056 [    hooks.py:  207]:\tstep: 14400\tsteps/sec: 1.43190\tloss: 0.59333\tlr:[4.0221592e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:03,412 [    hooks.py:  207]:\tstep: 14410\tsteps/sec: 1.17064\tloss: 0.80331\tlr:[4.02148e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:11,963 [    hooks.py:  207]:\tstep: 14420\tsteps/sec: 1.18407\tloss: 0.56414\tlr:[4.020801e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:20,167 [    hooks.py:  207]:\tstep: 14430\tsteps/sec: 1.24396\tloss: 0.35379\tlr:[4.0201227e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:27,458 [    hooks.py:  207]:\tstep: 14440\tsteps/sec: 1.32332\tloss: 0.63131\tlr:[4.0194434e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:34,600 [    hooks.py:  207]:\tstep: 14450\tsteps/sec: 1.41810\tloss: 0.69437\tlr:[4.0187642e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:42,539 [    hooks.py:  207]:\tstep: 14460\tsteps/sec: 1.23799\tloss: 0.31503\tlr:[4.018085e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:49,220 [    hooks.py:  207]:\tstep: 14470\tsteps/sec: 1.51105\tloss: 0.75240\tlr:[4.017406e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:45:57,071 [    hooks.py:  207]:\tstep: 14480\tsteps/sec: 1.24049\tloss: 0.60673\tlr:[4.016727e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:46:05,355 [    hooks.py:  207]:\tstep: 14490\tsteps/sec: 1.27818\tloss: 0.88642\tlr:[4.0160478e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:46:15,330 [    hooks.py:  207]:\tstep: 14500\tsteps/sec: 1.00076\tloss: 0.66042\tlr:[4.015369e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:46:23,658 [    hooks.py:  207]:\tstep: 14510\tsteps/sec: 1.16177\tloss: 0.64200\tlr:[4.0146897e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:46:32,153 [    hooks.py:  207]:\tstep: 14520\tsteps/sec: 1.17717\tloss: 0.52944\tlr:[4.014011e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:46:39,395 [    hooks.py:  207]:\tstep: 14530\tsteps/sec: 1.33250\tloss: 0.55345\tlr:[4.0133316e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:48:05,462 [    hooks.py:  207]:\tstep: 14630\tsteps/sec: 1.27831\tloss: 0.60125\tlr:[4.0065413e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:48:16,299 [    hooks.py:  207]:\tstep: 14640\tsteps/sec: 0.94196\tloss: 0.59786\tlr:[4.005862e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:48:23,168 [    hooks.py:  207]:\tstep: 14650\tsteps/sec: 1.37961\tloss: 0.76765\tlr:[4.0051833e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:48:32,930 [    hooks.py:  207]:\tstep: 14660\tsteps/sec: 0.99337\tloss: 1.02819\tlr:[4.0045044e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:48:50,249 [    hooks.py:  207]:\tstep: 14680\tsteps/sec: 1.10383\tloss: 0.72351\tlr:[4.003146e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:48:56,692 [    hooks.py:  207]:\tstep: 14690\tsteps/sec: 1.51071\tloss: 0.96589\tlr:[4.002467e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:49:04,906 [    hooks.py:  207]:\tstep: 14700\tsteps/sec: 1.23020\tloss: 0.66189\tlr:[4.001788e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:49:11,564 [    hooks.py:  207]:\tstep: 14710\tsteps/sec: 1.50349\tloss: 0.74929\tlr:[4.0011088e-05]\u001b[0m\n"
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     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 21:49:20,667 [    hooks.py:  207]:\tstep: 14720\tsteps/sec: 1.11653\tloss: 0.41403\tlr:[4.0004295e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:50:16,641 [    hooks.py:  207]:\tstep: 14790\tsteps/sec: 1.37221\tloss: 0.56440\tlr:[3.9956758e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:50:53,076 [    hooks.py:  207]:\tstep: 14830\tsteps/sec: 1.16519\tloss: 0.74874\tlr:[3.99296e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:50:59,837 [    hooks.py:  207]:\tstep: 14840\tsteps/sec: 1.53104\tloss: 0.57665\tlr:[3.9922812e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:51:08,325 [    hooks.py:  207]:\tstep: 14850\tsteps/sec: 1.15377\tloss: 0.56157\tlr:[3.991602e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:51:15,721 [    hooks.py:  207]:\tstep: 14860\tsteps/sec: 1.39417\tloss: 1.10273\tlr:[3.9909224e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 21:51:31,949 [    hooks.py:  207]:\tstep: 14880\tsteps/sec: 1.44291\tloss: 0.68114\tlr:[3.989565e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:51:38,851 [    hooks.py:  207]:\tstep: 14890\tsteps/sec: 1.45040\tloss: 0.58296\tlr:[3.988886e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:51:48,299 [    hooks.py:  207]:\tstep: 14900\tsteps/sec: 1.06560\tloss: 0.49089\tlr:[3.9882067e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:51:55,121 [    hooks.py:  207]:\tstep: 14910\tsteps/sec: 1.42558\tloss: 0.64820\tlr:[3.9875278e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:03,310 [    hooks.py:  207]:\tstep: 14920\tsteps/sec: 1.28521\tloss: 0.47252\tlr:[3.9868486e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:11,349 [    hooks.py:  207]:\tstep: 14930\tsteps/sec: 1.19646\tloss: 0.74085\tlr:[3.9861698e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:21,228 [    hooks.py:  207]:\tstep: 14940\tsteps/sec: 1.05277\tloss: 0.44840\tlr:[3.9854905e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:30,917 [    hooks.py:  207]:\tstep: 14950\tsteps/sec: 1.02722\tloss: 0.81848\tlr:[3.9848113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:42,171 [    hooks.py:  207]:\tstep: 14960\tsteps/sec: 0.86237\tloss: 0.51895\tlr:[3.984132e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:51,019 [    hooks.py:  207]:\tstep: 14970\tsteps/sec: 1.18770\tloss: 0.91503\tlr:[3.9834533e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:52:58,668 [    hooks.py:  207]:\tstep: 14980\tsteps/sec: 1.26352\tloss: 0.63142\tlr:[3.982774e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:07,194 [    hooks.py:  207]:\tstep: 14990\tsteps/sec: 1.12059\tloss: 0.53707\tlr:[3.982095e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:15,812 [    hooks.py:  207]:\tstep: 15000\tsteps/sec: 1.18948\tloss: 0.66576\tlr:[3.9814156e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:15,816 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:15,816 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:15,816 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 21:53:15,817 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:15,817 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83a43fd0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 21:53:15,817 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c92df98>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:01:10,369 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,371 [  trainer.py:   58]:\t{'acc': 0.7578313253012048, 'loss': 0.5867884608033376}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,372 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,373 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:01:10,373 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:01:10,373 [  trainer.py:   70]:\tacc\t0.7578313253012048\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:01:10,373 [  trainer.py:   70]:\tloss\t0.5867884608033376\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:01:10,373 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,373 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7578313253012048, 'loss': 0.5867884608033376}} \n",
      "old: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,374 [ exporter.py:   64]:\t[Best Exporter]: skip step 15000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,374 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7578313253012048, 'loss': 0.5867884608033376}} \n",
      "old: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,374 [ exporter.py:  104]:\t[Best Exporter]: skip step 15000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:10,375 [monitored_executor.py:  122]:\tsaving step 15000 to ./output/model_15000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:13,546 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_12000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:22,400 [    hooks.py:  207]:\tstep: 15010\tsteps/sec: 0.02055\tloss: 0.38164\tlr:[3.9807368e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:31,364 [    hooks.py:  207]:\tstep: 15020\tsteps/sec: 1.15823\tloss: 0.72279\tlr:[3.9800576e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:38,304 [    hooks.py:  207]:\tstep: 15030\tsteps/sec: 1.32906\tloss: 0.68409\tlr:[3.9793787e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:01:46,808 [    hooks.py:  207]:\tstep: 15040\tsteps/sec: 1.25780\tloss: 0.61436\tlr:[3.9786995e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:02:01,626 [    hooks.py:  207]:\tstep: 15060\tsteps/sec: 1.39909\tloss: 0.45607\tlr:[3.9773415e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:02:18,761 [    hooks.py:  207]:\tstep: 15080\tsteps/sec: 1.27552\tloss: 0.67818\tlr:[3.9759834e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:02:26,585 [    hooks.py:  207]:\tstep: 15090\tsteps/sec: 1.26361\tloss: 0.59691\tlr:[3.9753046e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:02:36,832 [    hooks.py:  207]:\tstep: 15100\tsteps/sec: 0.99898\tloss: 0.63913\tlr:[3.9746254e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:02:48,297 [    hooks.py:  207]:\tstep: 15110\tsteps/sec: 0.85472\tloss: 0.28995\tlr:[3.973946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:02:57,823 [    hooks.py:  207]:\tstep: 15120\tsteps/sec: 1.05113\tloss: 0.46050\tlr:[3.9732673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:03:06,857 [    hooks.py:  207]:\tstep: 15130\tsteps/sec: 1.08759\tloss: 0.38840\tlr:[3.972588e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:03:15,981 [    hooks.py:  207]:\tstep: 15140\tsteps/sec: 1.11944\tloss: 0.57203\tlr:[3.9719092e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:03:26,962 [    hooks.py:  207]:\tstep: 15150\tsteps/sec: 0.92853\tloss: 0.43667\tlr:[3.97123e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:03:36,056 [    hooks.py:  207]:\tstep: 15160\tsteps/sec: 1.12020\tloss: 0.69187\tlr:[3.970551e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:03:43,563 [    hooks.py:  207]:\tstep: 15170\tsteps/sec: 1.21775\tloss: 0.39440\tlr:[3.969872e-05]\u001b[0m\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 22:03:53,415 [    hooks.py:  207]:\tstep: 15180\tsteps/sec: 1.01642\tloss: 0.49396\tlr:[3.969193e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:06:06,850 [    hooks.py:  207]:\tstep: 15330\tsteps/sec: 1.10228\tloss: 0.34555\tlr:[3.959007e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:06:56,987 [    hooks.py:  207]:\tstep: 15390\tsteps/sec: 1.17844\tloss: 0.21533\tlr:[3.9549326e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:07:06,294 [    hooks.py:  207]:\tstep: 15400\tsteps/sec: 1.13798\tloss: 0.63148\tlr:[3.9542538e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:07:13,879 [    hooks.py:  207]:\tstep: 15410\tsteps/sec: 1.25624\tloss: 0.69047\tlr:[3.9535746e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:07:20,607 [    hooks.py:  207]:\tstep: 15420\tsteps/sec: 1.47580\tloss: 0.96019\tlr:[3.9528957e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:07:37,237 [    hooks.py:  207]:\tstep: 15440\tsteps/sec: 1.17160\tloss: 0.49976\tlr:[3.9515377e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:07:46,173 [    hooks.py:  207]:\tstep: 15450\tsteps/sec: 1.15061\tloss: 0.99383\tlr:[3.9508584e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:07:52,937 [    hooks.py:  207]:\tstep: 15460\tsteps/sec: 1.39681\tloss: 0.88185\tlr:[3.9501792e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:07:59,361 [    hooks.py:  207]:\tstep: 15470\tsteps/sec: 1.56633\tloss: 0.47966\tlr:[3.9495004e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:08,973 [    hooks.py:  207]:\tstep: 15480\tsteps/sec: 1.00154\tloss: 0.68748\tlr:[3.9488215e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:16,666 [    hooks.py:  207]:\tstep: 15490\tsteps/sec: 1.33465\tloss: 0.47842\tlr:[3.948142e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:25,129 [    hooks.py:  207]:\tstep: 15500\tsteps/sec: 1.17887\tloss: 0.61261\tlr:[3.9474628e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:33,128 [    hooks.py:  207]:\tstep: 15510\tsteps/sec: 1.28237\tloss: 0.78167\tlr:[3.9467843e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:39,820 [    hooks.py:  207]:\tstep: 15520\tsteps/sec: 1.42102\tloss: 0.47122\tlr:[3.946105e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:50,611 [    hooks.py:  207]:\tstep: 15530\tsteps/sec: 0.97814\tloss: 0.39452\tlr:[3.9454262e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:08:57,236 [    hooks.py:  207]:\tstep: 15540\tsteps/sec: 1.46449\tloss: 0.70632\tlr:[3.9447466e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:06,762 [    hooks.py:  207]:\tstep: 15550\tsteps/sec: 1.07507\tloss: 0.73443\tlr:[3.9440678e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:14,111 [    hooks.py:  207]:\tstep: 15560\tsteps/sec: 1.31485\tloss: 0.52720\tlr:[3.9433886e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:22,823 [    hooks.py:  207]:\tstep: 15570\tsteps/sec: 1.14054\tloss: 0.44609\tlr:[3.94271e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:32,403 [    hooks.py:  207]:\tstep: 15580\tsteps/sec: 1.01400\tloss: 0.23358\tlr:[3.942031e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:42,163 [    hooks.py:  207]:\tstep: 15590\tsteps/sec: 1.03116\tloss: 0.63075\tlr:[3.9413517e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:51,090 [    hooks.py:  207]:\tstep: 15600\tsteps/sec: 1.19735\tloss: 0.76129\tlr:[3.940673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:09:58,973 [    hooks.py:  207]:\tstep: 15610\tsteps/sec: 1.22738\tloss: 0.61114\tlr:[3.9399936e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:05,955 [    hooks.py:  207]:\tstep: 15620\tsteps/sec: 1.40881\tloss: 0.49251\tlr:[3.9393144e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:16,116 [    hooks.py:  207]:\tstep: 15630\tsteps/sec: 0.99230\tloss: 0.43103\tlr:[3.9386356e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:23,808 [    hooks.py:  207]:\tstep: 15640\tsteps/sec: 1.30567\tloss: 0.87987\tlr:[3.9379564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:31,954 [    hooks.py:  207]:\tstep: 15650\tsteps/sec: 1.18671\tloss: 0.49621\tlr:[3.9372775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:40,603 [    hooks.py:  207]:\tstep: 15660\tsteps/sec: 1.22998\tloss: 0.55395\tlr:[3.9365987e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:48,123 [    hooks.py:  207]:\tstep: 15670\tsteps/sec: 1.28238\tloss: 0.50932\tlr:[3.9359194e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:10:54,862 [    hooks.py:  207]:\tstep: 15680\tsteps/sec: 1.48428\tloss: 0.69480\tlr:[3.9352402e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:01,628 [    hooks.py:  207]:\tstep: 15690\tsteps/sec: 1.57962\tloss: 0.45555\tlr:[3.934561e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:12,841 [    hooks.py:  207]:\tstep: 15700\tsteps/sec: 0.83015\tloss: 0.76922\tlr:[3.933882e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:21,617 [    hooks.py:  207]:\tstep: 15710\tsteps/sec: 1.18246\tloss: 0.90969\tlr:[3.933203e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:30,323 [    hooks.py:  207]:\tstep: 15720\tsteps/sec: 1.17400\tloss: 0.59519\tlr:[3.932524e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:40,375 [    hooks.py:  207]:\tstep: 15730\tsteps/sec: 0.97181\tloss: 0.65841\tlr:[3.931845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:49,850 [    hooks.py:  207]:\tstep: 15740\tsteps/sec: 1.03334\tloss: 0.73815\tlr:[3.931166e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:11:59,235 [    hooks.py:  207]:\tstep: 15750\tsteps/sec: 1.11278\tloss: 0.62150\tlr:[3.930487e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:09,055 [    hooks.py:  207]:\tstep: 15760\tsteps/sec: 1.01696\tloss: 0.44827\tlr:[3.9298073e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:16,098 [    hooks.py:  207]:\tstep: 15770\tsteps/sec: 1.45498\tloss: 0.96375\tlr:[3.9291284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:23,691 [    hooks.py:  207]:\tstep: 15780\tsteps/sec: 1.23728\tloss: 0.50191\tlr:[3.9284496e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:32,523 [    hooks.py:  207]:\tstep: 15790\tsteps/sec: 1.17011\tloss: 0.56381\tlr:[3.9277707e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:42,349 [    hooks.py:  207]:\tstep: 15800\tsteps/sec: 1.02830\tloss: 0.37228\tlr:[3.9270915e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:49,773 [    hooks.py:  207]:\tstep: 15810\tsteps/sec: 1.30560\tloss: 0.66664\tlr:[3.9264123e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:12:57,621 [    hooks.py:  207]:\tstep: 15820\tsteps/sec: 1.29929\tloss: 0.50963\tlr:[3.9257335e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 22:13:04,825 [    hooks.py:  207]:\tstep: 15830\tsteps/sec: 1.29678\tloss: 0.72096\tlr:[3.9250546e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:13:15,018 [    hooks.py:  207]:\tstep: 15840\tsteps/sec: 0.99793\tloss: 0.73023\tlr:[3.924375e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:13:23,648 [    hooks.py:  207]:\tstep: 15850\tsteps/sec: 1.19742\tloss: 0.51519\tlr:[3.9236962e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:13:31,167 [    hooks.py:  207]:\tstep: 15860\tsteps/sec: 1.33207\tloss: 0.40373\tlr:[3.923017e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:13:40,819 [    hooks.py:  207]:\tstep: 15870\tsteps/sec: 1.06412\tloss: 0.57671\tlr:[3.922338e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:13:51,010 [    hooks.py:  207]:\tstep: 15880\tsteps/sec: 0.95239\tloss: 0.48417\tlr:[3.921659e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:02,356 [    hooks.py:  207]:\tstep: 15890\tsteps/sec: 0.90375\tloss: 0.81404\tlr:[3.92098e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:10,469 [    hooks.py:  207]:\tstep: 15900\tsteps/sec: 1.22174\tloss: 0.59469\tlr:[3.920301e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:18,258 [    hooks.py:  207]:\tstep: 15910\tsteps/sec: 1.25376\tloss: 0.69631\tlr:[3.9196217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:26,857 [    hooks.py:  207]:\tstep: 15920\tsteps/sec: 1.20139\tloss: 0.76000\tlr:[3.918943e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:34,297 [    hooks.py:  207]:\tstep: 15930\tsteps/sec: 1.30665\tloss: 0.72891\tlr:[3.918264e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:42,391 [    hooks.py:  207]:\tstep: 15940\tsteps/sec: 1.18064\tloss: 0.24566\tlr:[3.9175848e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:51,728 [    hooks.py:  207]:\tstep: 15950\tsteps/sec: 1.10819\tloss: 0.67531\tlr:[3.9169056e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:14:59,486 [    hooks.py:  207]:\tstep: 15960\tsteps/sec: 1.30530\tloss: 1.43362\tlr:[3.9162267e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:10,673 [    hooks.py:  207]:\tstep: 15970\tsteps/sec: 0.90837\tloss: 0.55446\tlr:[3.9155475e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:21,466 [    hooks.py:  207]:\tstep: 15980\tsteps/sec: 0.93549\tloss: 0.49049\tlr:[3.9148686e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:29,078 [    hooks.py:  207]:\tstep: 15990\tsteps/sec: 1.20461\tloss: 0.52416\tlr:[3.914189e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:38,162 [    hooks.py:  207]:\tstep: 16000\tsteps/sec: 1.14156\tloss: 0.65041\tlr:[3.9135106e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:38,162 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:38,162 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:38,163 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:15:38,163 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:38,163 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c92efd0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:15:38,163 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c960d68>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:23:38,563 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,564 [  trainer.py:   58]:\t{'acc': 0.755421686746988, 'loss': 0.6132547213481023}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,565 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,566 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:23:38,566 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:23:38,566 [  trainer.py:   70]:\tacc\t0.755421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:23:38,566 [  trainer.py:   70]:\tloss\t0.6132547213481023\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:23:38,566 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,566 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.755421686746988, 'loss': 0.6132547213481023}} \n",
      "old: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,566 [ exporter.py:   64]:\t[Best Exporter]: skip step 16000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,566 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.755421686746988, 'loss': 0.6132547213481023}} \n",
      "old: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,567 [ exporter.py:  104]:\t[Best Exporter]: skip step 16000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:38,568 [monitored_executor.py:  122]:\tsaving step 16000 to ./output/model_16000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:41,949 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_13000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:48,300 [    hooks.py:  207]:\tstep: 16010\tsteps/sec: 0.02039\tloss: 0.73939\tlr:[3.912831e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:23:58,901 [    hooks.py:  207]:\tstep: 16020\tsteps/sec: 0.98826\tloss: 1.02932\tlr:[3.912152e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:05,894 [    hooks.py:  207]:\tstep: 16030\tsteps/sec: 1.42437\tloss: 0.24446\tlr:[3.911473e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:13,910 [    hooks.py:  207]:\tstep: 16040\tsteps/sec: 1.19557\tloss: 0.76561\tlr:[3.910794e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:21,904 [    hooks.py:  207]:\tstep: 16050\tsteps/sec: 1.33810\tloss: 0.40212\tlr:[3.910115e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:32,336 [    hooks.py:  207]:\tstep: 16060\tsteps/sec: 0.96699\tloss: 0.41306\tlr:[3.9094357e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:38,572 [    hooks.py:  207]:\tstep: 16070\tsteps/sec: 1.44912\tloss: 0.51368\tlr:[3.908757e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:47,937 [    hooks.py:  207]:\tstep: 16080\tsteps/sec: 1.11646\tloss: 0.68541\tlr:[3.908078e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:24:54,822 [    hooks.py:  207]:\tstep: 16090\tsteps/sec: 1.44584\tloss: 0.69290\tlr:[3.9073988e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:25:03,657 [    hooks.py:  207]:\tstep: 16100\tsteps/sec: 1.12038\tloss: 0.54830\tlr:[3.90672e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:25:10,855 [    hooks.py:  207]:\tstep: 16110\tsteps/sec: 1.44819\tloss: 0.53581\tlr:[3.9060404e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:25:18,159 [    hooks.py:  207]:\tstep: 16120\tsteps/sec: 1.33056\tloss: 0.47423\tlr:[3.9053615e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:25:25,257 [    hooks.py:  207]:\tstep: 16130\tsteps/sec: 1.34243\tloss: 0.31898\tlr:[3.9046827e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:25:33,622 [    hooks.py:  207]:\tstep: 16140\tsteps/sec: 1.23036\tloss: 0.42842\tlr:[3.9040035e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:35:04,841 [    hooks.py:  207]:\tstep: 16820\tsteps/sec: 1.21080\tloss: 0.54953\tlr:[3.857828e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:35:13,845 [    hooks.py:  207]:\tstep: 16830\tsteps/sec: 1.10501\tloss: 0.79550\tlr:[3.8571492e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:35:22,566 [    hooks.py:  207]:\tstep: 16840\tsteps/sec: 1.17336\tloss: 0.45181\tlr:[3.85647e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:35:31,111 [    hooks.py:  207]:\tstep: 16850\tsteps/sec: 1.17130\tloss: 0.42120\tlr:[3.8557904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:35:38,133 [    hooks.py:  207]:\tstep: 16860\tsteps/sec: 1.39865\tloss: 0.72917\tlr:[3.8551116e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:35:47,891 [    hooks.py:  207]:\tstep: 16870\tsteps/sec: 1.03811\tloss: 0.49616\tlr:[3.8544324e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:35:55,906 [    hooks.py:  207]:\tstep: 16880\tsteps/sec: 1.23394\tloss: 0.71337\tlr:[3.853754e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:36:04,830 [    hooks.py:  207]:\tstep: 16890\tsteps/sec: 1.11049\tloss: 0.70868\tlr:[3.8530747e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:36:13,168 [    hooks.py:  207]:\tstep: 16900\tsteps/sec: 1.14179\tloss: 0.85902\tlr:[3.8523955e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:36:23,613 [    hooks.py:  207]:\tstep: 16910\tsteps/sec: 0.98823\tloss: 0.71480\tlr:[3.8517162e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:36:31,932 [    hooks.py:  207]:\tstep: 16920\tsteps/sec: 1.26712\tloss: 0.63082\tlr:[3.851037e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:36:39,938 [    hooks.py:  207]:\tstep: 16930\tsteps/sec: 1.19878\tloss: 0.71743\tlr:[3.8503582e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 22:36:48,608 [    hooks.py:  207]:\tstep: 16940\tsteps/sec: 1.15206\tloss: 0.60236\tlr:[3.849679e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:36:56,327 [    hooks.py:  207]:\tstep: 16950\tsteps/sec: 1.27423\tloss: 0.73289\tlr:[3.849e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:06,283 [    hooks.py:  207]:\tstep: 16960\tsteps/sec: 0.99895\tloss: 0.54830\tlr:[3.848321e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:15,260 [    hooks.py:  207]:\tstep: 16970\tsteps/sec: 1.14138\tloss: 0.45528\tlr:[3.847642e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:22,715 [    hooks.py:  207]:\tstep: 16980\tsteps/sec: 1.28625\tloss: 0.45913\tlr:[3.846963e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:30,190 [    hooks.py:  207]:\tstep: 16990\tsteps/sec: 1.37292\tloss: 0.43437\tlr:[3.8462837e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:38,663 [    hooks.py:  207]:\tstep: 17000\tsteps/sec: 1.14276\tloss: 0.59799\tlr:[3.8456044e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:38,664 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:38,664 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:38,664 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:37:38,664 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:38,664 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf8396ab38>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:37:38,665 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83945dd8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:45:36,255 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,256 [  trainer.py:   58]:\t{'acc': 0.7751004016064257, 'loss': 0.5636964318079826}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,257 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,257 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:45:36,258 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:45:36,258 [  trainer.py:   70]:\tacc\t0.7751004016064257\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:45:36,258 [  trainer.py:   70]:\tloss\t0.5636964318079826\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:45:36,258 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,258 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7751004016064257, 'loss': 0.5636964318079826}} \n",
      "old: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,258 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,259 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_14000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:36,259 [monitored_executor.py:  122]:\tsaving step 17000 to ./output/best_model/model_17000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:37,201 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_14000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:37,202 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7751004016064257, 'loss': 0.5636964318079826}} \n",
      "old: {'eval': {'acc': 0.7698795180722892, 'loss': 0.594362390251496}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:37,202 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:37,202 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:38,451 [monitored_executor.py:  122]:\tsaving step 17000 to ./output/model_17000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:41,965 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_14000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:49,506 [    hooks.py:  207]:\tstep: 17010\tsteps/sec: 0.02039\tloss: 0.52832\tlr:[3.8449256e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:45:56,145 [    hooks.py:  207]:\tstep: 17020\tsteps/sec: 1.53433\tloss: 0.40622\tlr:[3.8442464e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:05,675 [    hooks.py:  207]:\tstep: 17030\tsteps/sec: 1.02303\tloss: 0.43095\tlr:[3.843568e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:14,753 [    hooks.py:  207]:\tstep: 17040\tsteps/sec: 1.11561\tloss: 0.88180\tlr:[3.8428883e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:22,726 [    hooks.py:  207]:\tstep: 17050\tsteps/sec: 1.27538\tloss: 0.86597\tlr:[3.84221e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:29,464 [    hooks.py:  207]:\tstep: 17060\tsteps/sec: 1.44315\tloss: 0.41640\tlr:[3.8415303e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:36,164 [    hooks.py:  207]:\tstep: 17070\tsteps/sec: 1.50978\tloss: 1.06190\tlr:[3.840851e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:44,755 [    hooks.py:  207]:\tstep: 17080\tsteps/sec: 1.10898\tloss: 0.95813\tlr:[3.8401722e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:46:53,953 [    hooks.py:  207]:\tstep: 17090\tsteps/sec: 1.10813\tloss: 0.64587\tlr:[3.8394934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:47:02,222 [    hooks.py:  207]:\tstep: 17100\tsteps/sec: 1.33845\tloss: 0.72770\tlr:[3.838814e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:47:18,491 [    hooks.py:  207]:\tstep: 17120\tsteps/sec: 1.19134\tloss: 0.69710\tlr:[3.837456e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:47:26,255 [    hooks.py:  207]:\tstep: 17130\tsteps/sec: 1.29984\tloss: 0.43807\tlr:[3.836777e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:47:35,257 [    hooks.py:  207]:\tstep: 17140\tsteps/sec: 1.10185\tloss: 0.54059\tlr:[3.836098e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:47:43,776 [    hooks.py:  207]:\tstep: 17150\tsteps/sec: 1.16671\tloss: 0.43301\tlr:[3.835419e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:47:50,385 [    hooks.py:  207]:\tstep: 17160\tsteps/sec: 1.44583\tloss: 0.75714\tlr:[3.83474e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:47:59,024 [    hooks.py:  207]:\tstep: 17170\tsteps/sec: 1.17124\tloss: 0.59296\tlr:[3.8340608e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:48:07,627 [    hooks.py:  207]:\tstep: 17180\tsteps/sec: 1.23895\tloss: 0.71119\tlr:[3.8333816e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:48:48,632 [    hooks.py:  207]:\tstep: 17230\tsteps/sec: 1.41664\tloss: 0.38220\tlr:[3.8299862e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:49:08,322 [    hooks.py:  207]:\tstep: 17250\tsteps/sec: 0.99131\tloss: 1.15061\tlr:[3.828628e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:49:17,904 [    hooks.py:  207]:\tstep: 17260\tsteps/sec: 1.02270\tloss: 0.53696\tlr:[3.827949e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:49:26,758 [    hooks.py:  207]:\tstep: 17270\tsteps/sec: 1.18715\tloss: 0.39148\tlr:[3.82727e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:49:36,999 [    hooks.py:  207]:\tstep: 17280\tsteps/sec: 0.98584\tloss: 0.75773\tlr:[3.826591e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:49:44,576 [    hooks.py:  207]:\tstep: 17290\tsteps/sec: 1.26521\tloss: 0.53250\tlr:[3.825912e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:49:53,005 [    hooks.py:  207]:\tstep: 17300\tsteps/sec: 1.22154\tloss: 0.41539\tlr:[3.8252332e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:50:00,206 [    hooks.py:  207]:\tstep: 17310\tsteps/sec: 1.36328\tloss: 0.56247\tlr:[3.8245544e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:50:08,822 [    hooks.py:  207]:\tstep: 17320\tsteps/sec: 1.14787\tloss: 0.60115\tlr:[3.8238748e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:50:15,902 [    hooks.py:  207]:\tstep: 17330\tsteps/sec: 1.35666\tloss: 0.26356\tlr:[3.823196e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:50:23,911 [    hooks.py:  207]:\tstep: 17340\tsteps/sec: 1.28888\tloss: 0.66347\tlr:[3.8225167e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:50:31,461 [    hooks.py:  207]:\tstep: 17350\tsteps/sec: 1.37018\tloss: 0.33806\tlr:[3.8218383e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 22:50:41,327 [    hooks.py:  207]:\tstep: 17360\tsteps/sec: 0.98716\tloss: 0.51103\tlr:[3.821159e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 22:58:33,709 [    hooks.py:  207]:\tstep: 17910\tsteps/sec: 1.11188\tloss: 0.49227\tlr:[3.7838105e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:58:42,245 [    hooks.py:  207]:\tstep: 17920\tsteps/sec: 1.17257\tloss: 0.33950\tlr:[3.7831316e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:58:52,579 [    hooks.py:  207]:\tstep: 17930\tsteps/sec: 0.96396\tloss: 0.54819\tlr:[3.7824528e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:01,653 [    hooks.py:  207]:\tstep: 17940\tsteps/sec: 1.17879\tloss: 0.80227\tlr:[3.7817732e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:10,654 [    hooks.py:  207]:\tstep: 17950\tsteps/sec: 1.02264\tloss: 0.52314\tlr:[3.7810947e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:19,360 [    hooks.py:  207]:\tstep: 17960\tsteps/sec: 1.13383\tloss: 0.59367\tlr:[3.7804155e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:29,328 [    hooks.py:  207]:\tstep: 17970\tsteps/sec: 1.03336\tloss: 0.47744\tlr:[3.7797363e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:35,524 [    hooks.py:  207]:\tstep: 17980\tsteps/sec: 1.61499\tloss: 0.55425\tlr:[3.779057e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:44,220 [    hooks.py:  207]:\tstep: 17990\tsteps/sec: 1.13907\tloss: 0.68014\tlr:[3.7783786e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:53,140 [    hooks.py:  207]:\tstep: 18000\tsteps/sec: 1.15215\tloss: 0.67853\tlr:[3.777699e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:53,140 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:53,140 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:53,141 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 22:59:53,141 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:53,141 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c5d9908>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 22:59:53,141 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c5df128>\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-18 23:07:50,600 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,601 [  trainer.py:   58]:\t{'acc': 0.7855421686746988, 'loss': 0.5396390796089784}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,602 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,602 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:07:50,603 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:07:50,603 [  trainer.py:   70]:\tacc\t0.7855421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:07:50,603 [  trainer.py:   70]:\tloss\t0.5396390796089784\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:07:50,603 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,603 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}} \n",
      "old: {'eval': {'acc': 0.7751004016064257, 'loss': 0.5636964318079826}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,603 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,604 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_17000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:50,604 [monitored_executor.py:  122]:\tsaving step 18000 to ./output/best_model/model_18000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:51,564 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_17000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:51,564 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}} \n",
      "old: {'eval': {'acc': 0.7751004016064257, 'loss': 0.5636964318079826}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:51,565 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:51,565 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:52,806 [monitored_executor.py:  122]:\tsaving step 18000 to ./output/model_18000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:07:56,218 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_15000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:05,594 [    hooks.py:  207]:\tstep: 18010\tsteps/sec: 0.02030\tloss: 0.40413\tlr:[3.77702e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:13,596 [    hooks.py:  207]:\tstep: 18020\tsteps/sec: 1.26193\tloss: 0.51347\tlr:[3.7763413e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:19,900 [    hooks.py:  207]:\tstep: 18030\tsteps/sec: 1.51757\tloss: 0.83109\tlr:[3.775662e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:28,561 [    hooks.py:  207]:\tstep: 18040\tsteps/sec: 1.18962\tloss: 0.57519\tlr:[3.7749833e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:37,577 [    hooks.py:  207]:\tstep: 18050\tsteps/sec: 1.16157\tloss: 0.73794\tlr:[3.774304e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:45,041 [    hooks.py:  207]:\tstep: 18060\tsteps/sec: 1.21940\tloss: 0.76056\tlr:[3.7736252e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:08:55,511 [    hooks.py:  207]:\tstep: 18070\tsteps/sec: 0.99232\tloss: 0.58680\tlr:[3.772946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:09:03,882 [    hooks.py:  207]:\tstep: 18080\tsteps/sec: 1.21262\tloss: 0.51388\tlr:[3.772267e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:09:12,946 [    hooks.py:  207]:\tstep: 18090\tsteps/sec: 1.12497\tloss: 0.51634\tlr:[3.7715876e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:09:22,106 [    hooks.py:  207]:\tstep: 18100\tsteps/sec: 1.09336\tloss: 0.50308\tlr:[3.770909e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:09:31,722 [    hooks.py:  207]:\tstep: 18110\tsteps/sec: 1.01966\tloss: 0.41937\tlr:[3.77023e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:09:42,361 [    hooks.py:  207]:\tstep: 18120\tsteps/sec: 0.96097\tloss: 0.53333\tlr:[3.7695503e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:09:50,222 [    hooks.py:  207]:\tstep: 18130\tsteps/sec: 1.20854\tloss: 0.63309\tlr:[3.7688715e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:00,404 [    hooks.py:  207]:\tstep: 18140\tsteps/sec: 0.96514\tloss: 0.53606\tlr:[3.7681923e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:09,739 [    hooks.py:  207]:\tstep: 18150\tsteps/sec: 1.08786\tloss: 0.38632\tlr:[3.7675134e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:17,351 [    hooks.py:  207]:\tstep: 18160\tsteps/sec: 1.37961\tloss: 0.84971\tlr:[3.7668342e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:25,388 [    hooks.py:  207]:\tstep: 18170\tsteps/sec: 1.20612\tloss: 0.68929\tlr:[3.766155e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:33,299 [    hooks.py:  207]:\tstep: 18180\tsteps/sec: 1.21602\tloss: 0.48472\tlr:[3.765476e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:41,422 [    hooks.py:  207]:\tstep: 18190\tsteps/sec: 1.28096\tloss: 0.49644\tlr:[3.7647973e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:10:50,836 [    hooks.py:  207]:\tstep: 18200\tsteps/sec: 1.05843\tloss: 0.33145\tlr:[3.764118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:00,368 [    hooks.py:  207]:\tstep: 18210\tsteps/sec: 1.05589\tloss: 0.22756\tlr:[3.7634392e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:08,408 [    hooks.py:  207]:\tstep: 18220\tsteps/sec: 1.15163\tloss: 1.01443\tlr:[3.76276e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:17,365 [    hooks.py:  207]:\tstep: 18230\tsteps/sec: 1.17993\tloss: 0.49424\tlr:[3.762081e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:26,214 [    hooks.py:  207]:\tstep: 18240\tsteps/sec: 1.12958\tloss: 0.74602\tlr:[3.761402e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:35,987 [    hooks.py:  207]:\tstep: 18250\tsteps/sec: 1.03262\tloss: 0.59587\tlr:[3.7607228e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:44,846 [    hooks.py:  207]:\tstep: 18260\tsteps/sec: 1.12329\tloss: 0.68456\tlr:[3.7600435e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:11:53,627 [    hooks.py:  207]:\tstep: 18270\tsteps/sec: 1.13710\tloss: 0.36192\tlr:[3.7593643e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:05,633 [    hooks.py:  207]:\tstep: 18280\tsteps/sec: 0.83475\tloss: 0.68985\tlr:[3.7586855e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:12,592 [    hooks.py:  207]:\tstep: 18290\tsteps/sec: 1.50161\tloss: 0.74034\tlr:[3.7580066e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:20,005 [    hooks.py:  207]:\tstep: 18300\tsteps/sec: 1.29418\tloss: 0.56314\tlr:[3.7573278e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:28,156 [    hooks.py:  207]:\tstep: 18310\tsteps/sec: 1.26687\tloss: 0.77560\tlr:[3.7566482e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:36,559 [    hooks.py:  207]:\tstep: 18320\tsteps/sec: 1.17529\tloss: 0.56661\tlr:[3.7559697e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:43,667 [    hooks.py:  207]:\tstep: 18330\tsteps/sec: 1.39915\tloss: 0.60914\tlr:[3.75529e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:51,810 [    hooks.py:  207]:\tstep: 18340\tsteps/sec: 1.23933\tloss: 1.27647\tlr:[3.7546113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:12:59,202 [    hooks.py:  207]:\tstep: 18350\tsteps/sec: 1.34335\tloss: 0.29268\tlr:[3.753932e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:08,071 [    hooks.py:  207]:\tstep: 18360\tsteps/sec: 1.17768\tloss: 0.59240\tlr:[3.7532533e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:15,220 [    hooks.py:  207]:\tstep: 18370\tsteps/sec: 1.31336\tloss: 0.60793\tlr:[3.752574e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:23,915 [    hooks.py:  207]:\tstep: 18380\tsteps/sec: 1.15501\tloss: 0.34228\tlr:[3.7518952e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:30,455 [    hooks.py:  207]:\tstep: 18390\tsteps/sec: 1.51755\tloss: 0.62363\tlr:[3.751216e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:39,804 [    hooks.py:  207]:\tstep: 18400\tsteps/sec: 1.05757\tloss: 0.46644\tlr:[3.7505368e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:47,195 [    hooks.py:  207]:\tstep: 18410\tsteps/sec: 1.41945\tloss: 0.53467\tlr:[3.749858e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:13:57,753 [    hooks.py:  207]:\tstep: 18420\tsteps/sec: 0.95300\tloss: 1.05674\tlr:[3.7491787e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:14:07,900 [    hooks.py:  207]:\tstep: 18430\tsteps/sec: 0.98237\tloss: 0.33050\tlr:[3.7485e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:14:17,328 [    hooks.py:  207]:\tstep: 18440\tsteps/sec: 1.06378\tloss: 1.34126\tlr:[3.747821e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:14:24,737 [    hooks.py:  207]:\tstep: 18450\tsteps/sec: 1.29272\tloss: 0.38057\tlr:[3.7471415e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:14:33,317 [    hooks.py:  207]:\tstep: 18460\tsteps/sec: 1.18930\tloss: 0.78364\tlr:[3.7464622e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:14:43,682 [    hooks.py:  207]:\tstep: 18470\tsteps/sec: 0.96082\tloss: 0.20418\tlr:[3.7457834e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:14:51,946 [    hooks.py:  207]:\tstep: 18480\tsteps/sec: 1.18779\tloss: 0.66847\tlr:[3.745105e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 23:14:59,815 [    hooks.py:  207]:\tstep: 18490\tsteps/sec: 1.27940\tloss: 0.46053\tlr:[3.7444257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:15:07,578 [    hooks.py:  207]:\tstep: 18500\tsteps/sec: 1.32099\tloss: 0.28657\tlr:[3.743746e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:15:15,753 [    hooks.py:  207]:\tstep: 18510\tsteps/sec: 1.20229\tloss: 0.32091\tlr:[3.7430673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:15:23,517 [    hooks.py:  207]:\tstep: 18520\tsteps/sec: 1.32161\tloss: 0.78437\tlr:[3.742388e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:15:39,676 [    hooks.py:  207]:\tstep: 18540\tsteps/sec: 1.18978\tloss: 0.73031\tlr:[3.74103e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:15:48,740 [    hooks.py:  207]:\tstep: 18550\tsteps/sec: 1.07180\tloss: 0.55863\tlr:[3.740351e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:15:58,640 [    hooks.py:  207]:\tstep: 18560\tsteps/sec: 1.06198\tloss: 0.58079\tlr:[3.739672e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:16:09,379 [    hooks.py:  207]:\tstep: 18570\tsteps/sec: 0.91194\tloss: 0.82248\tlr:[3.7389927e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:16:17,982 [    hooks.py:  207]:\tstep: 18580\tsteps/sec: 1.17249\tloss: 0.86802\tlr:[3.738314e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:16:26,799 [    hooks.py:  207]:\tstep: 18590\tsteps/sec: 1.14722\tloss: 0.72278\tlr:[3.737635e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:16:36,626 [    hooks.py:  207]:\tstep: 18600\tsteps/sec: 1.01818\tloss: 0.81749\tlr:[3.736956e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:17:04,757 [    hooks.py:  207]:\tstep: 18630\tsteps/sec: 0.86138\tloss: 0.59568\tlr:[3.7349186e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:17:29,669 [    hooks.py:  207]:\tstep: 18660\tsteps/sec: 1.21218\tloss: 0.75587\tlr:[3.7328813e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:17:46,398 [    hooks.py:  207]:\tstep: 18680\tsteps/sec: 1.07296\tloss: 0.57835\tlr:[3.731523e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:17:54,513 [    hooks.py:  207]:\tstep: 18690\tsteps/sec: 1.22328\tloss: 0.49546\tlr:[3.730844e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:03,232 [    hooks.py:  207]:\tstep: 18700\tsteps/sec: 1.22814\tloss: 0.70247\tlr:[3.7301652e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:13,147 [    hooks.py:  207]:\tstep: 18710\tsteps/sec: 0.98519\tloss: 0.50966\tlr:[3.729486e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:21,673 [    hooks.py:  207]:\tstep: 18720\tsteps/sec: 1.14091\tloss: 0.91268\tlr:[3.728807e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:29,992 [    hooks.py:  207]:\tstep: 18730\tsteps/sec: 1.14555\tloss: 0.73962\tlr:[3.728128e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:38,031 [    hooks.py:  207]:\tstep: 18740\tsteps/sec: 1.31941\tloss: 0.61721\tlr:[3.727449e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:47,578 [    hooks.py:  207]:\tstep: 18750\tsteps/sec: 1.02219\tloss: 0.31230\tlr:[3.72677e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:18:58,667 [    hooks.py:  207]:\tstep: 18760\tsteps/sec: 0.93471\tloss: 0.23177\tlr:[3.7260907e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:07,273 [    hooks.py:  207]:\tstep: 18770\tsteps/sec: 1.13337\tloss: 0.68883\tlr:[3.7254118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:13,570 [    hooks.py:  207]:\tstep: 18780\tsteps/sec: 1.61496\tloss: 0.25804\tlr:[3.724733e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:23,596 [    hooks.py:  207]:\tstep: 18790\tsteps/sec: 0.99974\tloss: 0.53886\tlr:[3.7240534e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:31,951 [    hooks.py:  207]:\tstep: 18800\tsteps/sec: 1.19725\tloss: 0.38712\tlr:[3.7233745e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:40,263 [    hooks.py:  207]:\tstep: 18810\tsteps/sec: 1.17903\tloss: 0.40533\tlr:[3.7226957e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:49,028 [    hooks.py:  207]:\tstep: 18820\tsteps/sec: 1.14473\tloss: 0.78515\tlr:[3.7220165e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:19:56,358 [    hooks.py:  207]:\tstep: 18830\tsteps/sec: 1.35029\tloss: 1.03316\tlr:[3.7213373e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:03,871 [    hooks.py:  207]:\tstep: 18840\tsteps/sec: 1.26601\tloss: 0.71201\tlr:[3.7206584e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:14,386 [    hooks.py:  207]:\tstep: 18850\tsteps/sec: 0.97830\tloss: 0.41573\tlr:[3.7199796e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:23,335 [    hooks.py:  207]:\tstep: 18860\tsteps/sec: 1.16897\tloss: 0.63519\tlr:[3.7193004e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:30,536 [    hooks.py:  207]:\tstep: 18870\tsteps/sec: 1.34553\tloss: 0.44196\tlr:[3.718621e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:38,966 [    hooks.py:  207]:\tstep: 18880\tsteps/sec: 1.18011\tloss: 0.70648\tlr:[3.7179423e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:49,160 [    hooks.py:  207]:\tstep: 18890\tsteps/sec: 0.94289\tloss: 0.16102\tlr:[3.717263e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:20:57,340 [    hooks.py:  207]:\tstep: 18900\tsteps/sec: 1.32651\tloss: 0.66437\tlr:[3.716584e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:21:07,002 [    hooks.py:  207]:\tstep: 18910\tsteps/sec: 1.03236\tloss: 0.45419\tlr:[3.7159047e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:21:15,083 [    hooks.py:  207]:\tstep: 18920\tsteps/sec: 1.16226\tloss: 0.93262\tlr:[3.715226e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:21:25,032 [    hooks.py:  207]:\tstep: 18930\tsteps/sec: 1.03053\tloss: 0.87627\tlr:[3.714547e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:21:33,718 [    hooks.py:  207]:\tstep: 18940\tsteps/sec: 1.17854\tloss: 0.47059\tlr:[3.7138674e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:21:43,755 [    hooks.py:  207]:\tstep: 18950\tsteps/sec: 0.98739\tloss: 0.43946\tlr:[3.7131886e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:21:53,325 [    hooks.py:  207]:\tstep: 18960\tsteps/sec: 1.06230\tloss: 0.74166\tlr:[3.7125097e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:02,447 [    hooks.py:  207]:\tstep: 18970\tsteps/sec: 1.15579\tloss: 0.30819\tlr:[3.711831e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:10,988 [    hooks.py:  207]:\tstep: 18980\tsteps/sec: 1.09509\tloss: 0.69741\tlr:[3.7111513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:18,003 [    hooks.py:  207]:\tstep: 18990\tsteps/sec: 1.38530\tloss: 0.69754\tlr:[3.7104724e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:27,477 [    hooks.py:  207]:\tstep: 19000\tsteps/sec: 1.10175\tloss: 0.45678\tlr:[3.7097936e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:27,478 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:27,478 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:27,478 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:22:27,478 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:27,478 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83f18b70>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:22:27,479 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf839a7748>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:30:33,636 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,638 [  trainer.py:   58]:\t{'acc': 0.7590361445783133, 'loss': 0.5806995328420248}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,638 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,638 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:30:33,639 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:30:33,639 [  trainer.py:   70]:\tacc\t0.7590361445783133\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:30:33,639 [  trainer.py:   70]:\tloss\t0.5806995328420248\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:30:33,639 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,639 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7590361445783133, 'loss': 0.5806995328420248}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,640 [ exporter.py:   64]:\t[Best Exporter]: skip step 19000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,640 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7590361445783133, 'loss': 0.5806995328420248}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,640 [ exporter.py:  104]:\t[Best Exporter]: skip step 19000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:33,641 [monitored_executor.py:  122]:\tsaving step 19000 to ./output/model_19000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 23:30:37,756 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_16000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:44,772 [    hooks.py:  207]:\tstep: 19010\tsteps/sec: 0.02009\tloss: 0.44450\tlr:[3.7091144e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:30:52,851 [    hooks.py:  207]:\tstep: 19020\tsteps/sec: 1.29347\tloss: 0.80372\tlr:[3.708435e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:31:01,801 [    hooks.py:  207]:\tstep: 19030\tsteps/sec: 1.14677\tloss: 0.60662\tlr:[3.7077563e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:31:10,610 [    hooks.py:  207]:\tstep: 19040\tsteps/sec: 1.08480\tloss: 0.83414\tlr:[3.7070775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:31:20,517 [    hooks.py:  207]:\tstep: 19050\tsteps/sec: 0.97676\tloss: 0.36109\tlr:[3.7063983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:31:29,456 [    hooks.py:  207]:\tstep: 19060\tsteps/sec: 1.14213\tloss: 0.62409\tlr:[3.705719e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:32:05,614 [    hooks.py:  207]:\tstep: 19100\tsteps/sec: 1.26022\tloss: 0.68775\tlr:[3.703003e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:32:24,732 [    hooks.py:  207]:\tstep: 19120\tsteps/sec: 1.04070\tloss: 0.67638\tlr:[3.701645e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:33:17,395 [    hooks.py:  207]:\tstep: 19180\tsteps/sec: 1.05256\tloss: 0.54413\tlr:[3.6975704e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:33:24,957 [    hooks.py:  207]:\tstep: 19190\tsteps/sec: 1.27183\tloss: 0.62259\tlr:[3.6968915e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:33:33,908 [    hooks.py:  207]:\tstep: 19200\tsteps/sec: 1.15624\tloss: 0.61536\tlr:[3.6962123e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:34:30,363 [    hooks.py:  207]:\tstep: 19260\tsteps/sec: 1.13528\tloss: 1.01704\tlr:[3.6921385e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:35:22,491 [    hooks.py:  207]:\tstep: 19320\tsteps/sec: 1.20680\tloss: 0.72040\tlr:[3.688064e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:35:34,029 [    hooks.py:  207]:\tstep: 19330\tsteps/sec: 0.88739\tloss: 0.47422\tlr:[3.687385e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:35:42,231 [    hooks.py:  207]:\tstep: 19340\tsteps/sec: 1.17923\tloss: 0.71683\tlr:[3.686706e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:35:53,815 [    hooks.py:  207]:\tstep: 19350\tsteps/sec: 0.89077\tloss: 0.88139\tlr:[3.6860267e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:02,919 [    hooks.py:  207]:\tstep: 19360\tsteps/sec: 1.11535\tloss: 0.55384\tlr:[3.6853475e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:13,009 [    hooks.py:  207]:\tstep: 19370\tsteps/sec: 0.95291\tloss: 0.40903\tlr:[3.6846686e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:20,626 [    hooks.py:  207]:\tstep: 19380\tsteps/sec: 1.33298\tloss: 0.90224\tlr:[3.6839894e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:29,930 [    hooks.py:  207]:\tstep: 19390\tsteps/sec: 1.05735\tloss: 0.67515\tlr:[3.6833102e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:39,792 [    hooks.py:  207]:\tstep: 19400\tsteps/sec: 1.02183\tloss: 0.62360\tlr:[3.682631e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:48,022 [    hooks.py:  207]:\tstep: 19410\tsteps/sec: 1.25356\tloss: 0.87208\tlr:[3.6819525e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:36:58,261 [    hooks.py:  207]:\tstep: 19420\tsteps/sec: 0.98580\tloss: 0.32145\tlr:[3.6812733e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:37:06,156 [    hooks.py:  207]:\tstep: 19430\tsteps/sec: 1.22266\tloss: 0.70460\tlr:[3.6805937e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:37:14,839 [    hooks.py:  207]:\tstep: 19440\tsteps/sec: 1.13770\tloss: 0.48451\tlr:[3.6799152e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:37:25,603 [    hooks.py:  207]:\tstep: 19450\tsteps/sec: 0.90645\tloss: 0.49989\tlr:[3.6792364e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:37:34,529 [    hooks.py:  207]:\tstep: 19460\tsteps/sec: 1.11152\tloss: 0.60768\tlr:[3.6785572e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:37:42,789 [    hooks.py:  207]:\tstep: 19470\tsteps/sec: 1.25454\tloss: 1.06187\tlr:[3.677878e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:37:52,241 [    hooks.py:  207]:\tstep: 19480\tsteps/sec: 1.09573\tloss: 0.50125\tlr:[3.677199e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:38:00,319 [    hooks.py:  207]:\tstep: 19490\tsteps/sec: 1.16612\tloss: 0.58357\tlr:[3.67652e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:38:11,472 [    hooks.py:  207]:\tstep: 19500\tsteps/sec: 0.92633\tloss: 0.32914\tlr:[3.675841e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:38:27,419 [    hooks.py:  207]:\tstep: 19520\tsteps/sec: 1.03018\tloss: 0.74417\tlr:[3.6744827e-05]\u001b[0m\n",
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     ]
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      "\u001b[37m[DEBUG] 2019-09-18 23:43:11,417 [    hooks.py:  207]:\tstep: 19840\tsteps/sec: 1.30003\tloss: 0.63851\tlr:[3.6527526e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:43:21,401 [    hooks.py:  207]:\tstep: 19850\tsteps/sec: 0.99735\tloss: 0.73211\tlr:[3.6520738e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:43:29,452 [    hooks.py:  207]:\tstep: 19860\tsteps/sec: 1.23899\tloss: 0.49152\tlr:[3.651395e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:43:39,261 [    hooks.py:  207]:\tstep: 19870\tsteps/sec: 1.03887\tloss: 0.66193\tlr:[3.6507157e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:44:06,437 [    hooks.py:  207]:\tstep: 19900\tsteps/sec: 1.10701\tloss: 0.46507\tlr:[3.648679e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:44:15,756 [    hooks.py:  207]:\tstep: 19910\tsteps/sec: 1.10395\tloss: 0.48734\tlr:[3.6479996e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:44:23,911 [    hooks.py:  207]:\tstep: 19920\tsteps/sec: 1.25768\tloss: 0.53694\tlr:[3.64732e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:44:30,962 [    hooks.py:  207]:\tstep: 19930\tsteps/sec: 1.39412\tloss: 0.47380\tlr:[3.6466412e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:44:37,536 [    hooks.py:  207]:\tstep: 19940\tsteps/sec: 1.47955\tloss: 0.24807\tlr:[3.6459624e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:44:45,763 [    hooks.py:  207]:\tstep: 19950\tsteps/sec: 1.24111\tloss: 1.09114\tlr:[3.645283e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:44:53,048 [    hooks.py:  207]:\tstep: 19960\tsteps/sec: 1.41815\tloss: 0.84508\tlr:[3.644604e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:00,214 [    hooks.py:  207]:\tstep: 19970\tsteps/sec: 1.34919\tloss: 0.33011\tlr:[3.6439254e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:09,433 [    hooks.py:  207]:\tstep: 19980\tsteps/sec: 1.09853\tloss: 0.83604\tlr:[3.6432462e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:16,818 [    hooks.py:  207]:\tstep: 19990\tsteps/sec: 1.31699\tloss: 0.73680\tlr:[3.6425667e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:26,706 [    hooks.py:  207]:\tstep: 20000\tsteps/sec: 1.02604\tloss: 0.25951\tlr:[3.641888e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:26,711 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:26,711 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:26,711 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:45:26,712 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:26,712 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf839a73c8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:45:26,712 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c902eb8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:53:37,147 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,149 [  trainer.py:   58]:\t{'acc': 0.7654618473895582, 'loss': 0.5909705311059952}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,150 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,151 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:53:37,151 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:53:37,151 [  trainer.py:   70]:\tacc\t0.7654618473895582\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:53:37,151 [  trainer.py:   70]:\tloss\t0.5909705311059952\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-18 23:53:37,151 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,151 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7654618473895582, 'loss': 0.5909705311059952}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,151 [ exporter.py:   64]:\t[Best Exporter]: skip step 20000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,152 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7654618473895582, 'loss': 0.5909705311059952}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,152 [ exporter.py:  104]:\t[Best Exporter]: skip step 20000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:37,153 [monitored_executor.py:  122]:\tsaving step 20000 to ./output/model_20000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:40,336 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_17000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:50,108 [    hooks.py:  207]:\tstep: 20010\tsteps/sec: 0.01986\tloss: 0.42230\tlr:[3.641209e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:53:59,380 [    hooks.py:  207]:\tstep: 20020\tsteps/sec: 1.10240\tloss: 0.71595\tlr:[3.64053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:08,018 [    hooks.py:  207]:\tstep: 20030\tsteps/sec: 1.16102\tloss: 0.53945\tlr:[3.639851e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:15,141 [    hooks.py:  207]:\tstep: 20040\tsteps/sec: 1.34903\tloss: 0.81769\tlr:[3.6391717e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:23,298 [    hooks.py:  207]:\tstep: 20050\tsteps/sec: 1.26347\tloss: 0.46727\tlr:[3.638493e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:33,943 [    hooks.py:  207]:\tstep: 20060\tsteps/sec: 0.94246\tloss: 0.44535\tlr:[3.6378136e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:41,300 [    hooks.py:  207]:\tstep: 20070\tsteps/sec: 1.32886\tloss: 0.74854\tlr:[3.6371344e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:49,401 [    hooks.py:  207]:\tstep: 20080\tsteps/sec: 1.18707\tloss: 0.40298\tlr:[3.6364556e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:54:58,414 [    hooks.py:  207]:\tstep: 20090\tsteps/sec: 1.18352\tloss: 0.55172\tlr:[3.6357767e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:55:05,649 [    hooks.py:  207]:\tstep: 20100\tsteps/sec: 1.32631\tloss: 0.40170\tlr:[3.6350975e-05]\u001b[0m\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-18 23:55:13,187 [    hooks.py:  207]:\tstep: 20110\tsteps/sec: 1.36577\tloss: 0.55452\tlr:[3.6344183e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:58:15,420 [    hooks.py:  207]:\tstep: 20320\tsteps/sec: 1.16096\tloss: 0.40890\tlr:[3.620158e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-18 23:58:32,924 [    hooks.py:  207]:\tstep: 20340\tsteps/sec: 1.11014\tloss: 0.65461\tlr:[3.6188e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:58:40,661 [    hooks.py:  207]:\tstep: 20350\tsteps/sec: 1.27760\tloss: 0.53012\tlr:[3.6181213e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:58:47,902 [    hooks.py:  207]:\tstep: 20360\tsteps/sec: 1.41754\tloss: 0.72457\tlr:[3.617442e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:58:54,525 [    hooks.py:  207]:\tstep: 20370\tsteps/sec: 1.41591\tloss: 0.54878\tlr:[3.616763e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:06,525 [    hooks.py:  207]:\tstep: 20380\tsteps/sec: 0.85189\tloss: 0.60675\tlr:[3.6160836e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:14,412 [    hooks.py:  207]:\tstep: 20390\tsteps/sec: 1.29554\tloss: 0.79986\tlr:[3.615405e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:22,595 [    hooks.py:  207]:\tstep: 20400\tsteps/sec: 1.21180\tloss: 0.63596\tlr:[3.614726e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:31,062 [    hooks.py:  207]:\tstep: 20410\tsteps/sec: 1.16467\tloss: 0.64105\tlr:[3.6140467e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:38,097 [    hooks.py:  207]:\tstep: 20420\tsteps/sec: 1.39809\tloss: 0.38857\tlr:[3.6133675e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:46,143 [    hooks.py:  207]:\tstep: 20430\tsteps/sec: 1.24947\tloss: 0.70076\tlr:[3.6126883e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-18 23:59:56,009 [    hooks.py:  207]:\tstep: 20440\tsteps/sec: 1.01366\tloss: 0.68422\tlr:[3.612009e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:04,749 [    hooks.py:  207]:\tstep: 20450\tsteps/sec: 1.17670\tloss: 0.33448\tlr:[3.6113302e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:12,022 [    hooks.py:  207]:\tstep: 20460\tsteps/sec: 1.34704\tloss: 0.44645\tlr:[3.6106514e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:21,085 [    hooks.py:  207]:\tstep: 20470\tsteps/sec: 1.09991\tloss: 0.58245\tlr:[3.6099726e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:28,966 [    hooks.py:  207]:\tstep: 20480\tsteps/sec: 1.31803\tloss: 0.69471\tlr:[3.6092933e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:38,786 [    hooks.py:  207]:\tstep: 20490\tsteps/sec: 1.01435\tloss: 0.49368\tlr:[3.608614e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:49,842 [    hooks.py:  207]:\tstep: 20500\tsteps/sec: 0.89299\tloss: 0.66964\tlr:[3.6079357e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:00:58,144 [    hooks.py:  207]:\tstep: 20510\tsteps/sec: 1.21354\tloss: 0.55973\tlr:[3.607256e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:08,073 [    hooks.py:  207]:\tstep: 20520\tsteps/sec: 1.00841\tloss: 0.72198\tlr:[3.606577e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:15,610 [    hooks.py:  207]:\tstep: 20530\tsteps/sec: 1.29180\tloss: 0.51973\tlr:[3.605898e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:23,841 [    hooks.py:  207]:\tstep: 20540\tsteps/sec: 1.26390\tloss: 0.55286\tlr:[3.605219e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:31,422 [    hooks.py:  207]:\tstep: 20550\tsteps/sec: 1.27316\tloss: 0.93832\tlr:[3.60454e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:40,503 [    hooks.py:  207]:\tstep: 20560\tsteps/sec: 1.05892\tloss: 0.97352\tlr:[3.603861e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:48,299 [    hooks.py:  207]:\tstep: 20570\tsteps/sec: 1.37720\tloss: 0.84766\tlr:[3.603182e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:01:56,460 [    hooks.py:  207]:\tstep: 20580\tsteps/sec: 1.18322\tloss: 0.66731\tlr:[3.6025027e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:02:06,379 [    hooks.py:  207]:\tstep: 20590\tsteps/sec: 1.01239\tloss: 0.48213\tlr:[3.6018235e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:02:14,393 [    hooks.py:  207]:\tstep: 20600\tsteps/sec: 1.23625\tloss: 0.27537\tlr:[3.6011446e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:02:21,931 [    hooks.py:  207]:\tstep: 20610\tsteps/sec: 1.37211\tloss: 0.42353\tlr:[3.6004654e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:02:29,580 [    hooks.py:  207]:\tstep: 20620\tsteps/sec: 1.31292\tloss: 0.38116\tlr:[3.5997866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:02:55,461 [    hooks.py:  207]:\tstep: 20650\tsteps/sec: 1.03446\tloss: 0.41258\tlr:[3.5977497e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:05,503 [    hooks.py:  207]:\tstep: 20660\tsteps/sec: 1.03526\tloss: 0.57388\tlr:[3.5970705e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:15,328 [    hooks.py:  207]:\tstep: 20670\tsteps/sec: 1.02481\tloss: 0.73025\tlr:[3.596391e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:23,184 [    hooks.py:  207]:\tstep: 20680\tsteps/sec: 1.29278\tloss: 0.52448\tlr:[3.5957124e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:32,970 [    hooks.py:  207]:\tstep: 20690\tsteps/sec: 1.01959\tloss: 0.63423\tlr:[3.5950336e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:41,094 [    hooks.py:  207]:\tstep: 20700\tsteps/sec: 1.17195\tloss: 0.70970\tlr:[3.5943543e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:49,664 [    hooks.py:  207]:\tstep: 20710\tsteps/sec: 1.23537\tloss: 0.42242\tlr:[3.593675e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:03:56,372 [    hooks.py:  207]:\tstep: 20720\tsteps/sec: 1.44700\tloss: 0.86511\tlr:[3.5929963e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:04:05,751 [    hooks.py:  207]:\tstep: 20730\tsteps/sec: 1.06853\tloss: 0.19942\tlr:[3.592317e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:04:13,063 [    hooks.py:  207]:\tstep: 20740\tsteps/sec: 1.39390\tloss: 0.40484\tlr:[3.5916382e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:04:23,288 [    hooks.py:  207]:\tstep: 20750\tsteps/sec: 0.98867\tloss: 1.01675\tlr:[3.590959e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:04:30,343 [    hooks.py:  207]:\tstep: 20760\tsteps/sec: 1.37451\tloss: 0.59333\tlr:[3.59028e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:04:38,869 [    hooks.py:  207]:\tstep: 20770\tsteps/sec: 1.20366\tloss: 0.76283\tlr:[3.589601e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 00:04:45,035 [    hooks.py:  207]:\tstep: 20780\tsteps/sec: 1.53132\tloss: 0.46215\tlr:[3.5889218e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:04:54,637 [    hooks.py:  207]:\tstep: 20790\tsteps/sec: 1.03175\tloss: 0.61360\tlr:[3.588243e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:02,887 [    hooks.py:  207]:\tstep: 20800\tsteps/sec: 1.33340\tloss: 0.82162\tlr:[3.5875637e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:10,363 [    hooks.py:  207]:\tstep: 20810\tsteps/sec: 1.25414\tloss: 0.63671\tlr:[3.5868845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:20,030 [    hooks.py:  207]:\tstep: 20820\tsteps/sec: 1.03872\tloss: 0.71974\tlr:[3.5862053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:26,714 [    hooks.py:  207]:\tstep: 20830\tsteps/sec: 1.41613\tloss: 0.58368\tlr:[3.5855264e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:36,413 [    hooks.py:  207]:\tstep: 20840\tsteps/sec: 1.02365\tloss: 0.27212\tlr:[3.5848476e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:45,245 [    hooks.py:  207]:\tstep: 20850\tsteps/sec: 1.17953\tloss: 0.59898\tlr:[3.584168e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:05:53,533 [    hooks.py:  207]:\tstep: 20860\tsteps/sec: 1.23804\tloss: 0.84128\tlr:[3.583489e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:03,863 [    hooks.py:  207]:\tstep: 20870\tsteps/sec: 0.98375\tloss: 0.56736\tlr:[3.58281e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:11,196 [    hooks.py:  207]:\tstep: 20880\tsteps/sec: 1.29058\tloss: 0.86057\tlr:[3.582131e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:19,682 [    hooks.py:  207]:\tstep: 20890\tsteps/sec: 1.13098\tloss: 0.77776\tlr:[3.581452e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:28,403 [    hooks.py:  207]:\tstep: 20900\tsteps/sec: 1.23472\tloss: 0.29839\tlr:[3.580773e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:35,234 [    hooks.py:  207]:\tstep: 20910\tsteps/sec: 1.41326\tloss: 0.85038\tlr:[3.5800942e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:43,622 [    hooks.py:  207]:\tstep: 20920\tsteps/sec: 1.22832\tloss: 0.51506\tlr:[3.579415e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:51,648 [    hooks.py:  207]:\tstep: 20930\tsteps/sec: 1.21819\tloss: 0.79126\tlr:[3.5787358e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:06:58,961 [    hooks.py:  207]:\tstep: 20940\tsteps/sec: 1.40906\tloss: 0.31683\tlr:[3.578057e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:08,831 [    hooks.py:  207]:\tstep: 20950\tsteps/sec: 1.00169\tloss: 0.45514\tlr:[3.577378e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:18,123 [    hooks.py:  207]:\tstep: 20960\tsteps/sec: 1.07474\tloss: 0.71499\tlr:[3.576699e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:25,363 [    hooks.py:  207]:\tstep: 20970\tsteps/sec: 1.28069\tloss: 0.58017\tlr:[3.5760193e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:34,758 [    hooks.py:  207]:\tstep: 20980\tsteps/sec: 1.13182\tloss: 0.62866\tlr:[3.5753405e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:42,105 [    hooks.py:  207]:\tstep: 20990\tsteps/sec: 1.34614\tloss: 0.53565\tlr:[3.5746616e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:49,074 [    hooks.py:  207]:\tstep: 21000\tsteps/sec: 1.45870\tloss: 0.45347\tlr:[3.573982e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:49,075 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:49,075 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:49,075 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:07:49,075 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:49,076 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83b20f28>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:07:49,076 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c97cf60>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:15:48,133 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,135 [  trainer.py:   58]:\t{'acc': 0.7694779116465863, 'loss': 0.5693983066922579}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,135 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,136 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:15:48,136 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:15:48,137 [  trainer.py:   70]:\tacc\t0.7694779116465863\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:15:48,137 [  trainer.py:   70]:\tloss\t0.5693983066922579\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:15:48,137 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,137 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7694779116465863, 'loss': 0.5693983066922579}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,137 [ exporter.py:   64]:\t[Best Exporter]: skip step 21000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,137 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7694779116465863, 'loss': 0.5693983066922579}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,137 [ exporter.py:  104]:\t[Best Exporter]: skip step 21000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:48,138 [monitored_executor.py:  122]:\tsaving step 21000 to ./output/model_21000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:15:51,351 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_18000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:00,857 [    hooks.py:  207]:\tstep: 21010\tsteps/sec: 0.02033\tloss: 0.54412\tlr:[3.5733032e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:09,500 [    hooks.py:  207]:\tstep: 21020\tsteps/sec: 1.17394\tloss: 0.55177\tlr:[3.5726247e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:18,772 [    hooks.py:  207]:\tstep: 21030\tsteps/sec: 1.08321\tloss: 0.39035\tlr:[3.5719455e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:24,948 [    hooks.py:  207]:\tstep: 21040\tsteps/sec: 1.47611\tloss: 0.43531\tlr:[3.571266e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:33,900 [    hooks.py:  207]:\tstep: 21050\tsteps/sec: 1.14113\tloss: 0.55289\tlr:[3.570587e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:43,125 [    hooks.py:  207]:\tstep: 21060\tsteps/sec: 1.12741\tloss: 0.98237\tlr:[3.5699082e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:51,276 [    hooks.py:  207]:\tstep: 21070\tsteps/sec: 1.20077\tloss: 0.70192\tlr:[3.569229e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:16:57,623 [    hooks.py:  207]:\tstep: 21080\tsteps/sec: 1.50706\tloss: 0.62614\tlr:[3.5685498e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:05,718 [    hooks.py:  207]:\tstep: 21090\tsteps/sec: 1.26107\tloss: 0.64851\tlr:[3.567871e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:15,174 [    hooks.py:  207]:\tstep: 21100\tsteps/sec: 1.07707\tloss: 0.68153\tlr:[3.567192e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:21,830 [    hooks.py:  207]:\tstep: 21110\tsteps/sec: 1.48056\tloss: 1.02701\tlr:[3.5665125e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:31,177 [    hooks.py:  207]:\tstep: 21120\tsteps/sec: 1.06720\tloss: 0.35232\tlr:[3.5658333e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:40,575 [    hooks.py:  207]:\tstep: 21130\tsteps/sec: 1.07832\tloss: 0.79867\tlr:[3.565155e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:47,406 [    hooks.py:  207]:\tstep: 21140\tsteps/sec: 1.44968\tloss: 0.83792\tlr:[3.5644756e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:17:59,516 [    hooks.py:  207]:\tstep: 21150\tsteps/sec: 0.84516\tloss: 0.53849\tlr:[3.5637964e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:18:05,955 [    hooks.py:  207]:\tstep: 21160\tsteps/sec: 1.39295\tloss: 0.26754\tlr:[3.5631172e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:18:16,223 [    hooks.py:  207]:\tstep: 21170\tsteps/sec: 1.01836\tloss: 0.65191\tlr:[3.5624384e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 00:25:12,571 [    hooks.py:  207]:\tstep: 21660\tsteps/sec: 1.54421\tloss: 0.48661\tlr:[3.5291647e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 00:25:39,365 [    hooks.py:  207]:\tstep: 21690\tsteps/sec: 1.30926\tloss: 0.76213\tlr:[3.5271274e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 00:26:05,181 [    hooks.py:  207]:\tstep: 21720\tsteps/sec: 0.99679\tloss: 0.57743\tlr:[3.5250898e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 00:26:22,708 [    hooks.py:  207]:\tstep: 21740\tsteps/sec: 0.99879\tloss: 0.66112\tlr:[3.523732e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:26:29,888 [    hooks.py:  207]:\tstep: 21750\tsteps/sec: 1.39813\tloss: 0.77235\tlr:[3.523053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:26:38,863 [    hooks.py:  207]:\tstep: 21760\tsteps/sec: 1.13201\tloss: 0.38114\tlr:[3.522374e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:26:45,318 [    hooks.py:  207]:\tstep: 21770\tsteps/sec: 1.41673\tloss: 1.00791\tlr:[3.521695e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:26:53,919 [    hooks.py:  207]:\tstep: 21780\tsteps/sec: 1.25201\tloss: 0.23037\tlr:[3.521016e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:02,224 [    hooks.py:  207]:\tstep: 21790\tsteps/sec: 1.21991\tloss: 0.61128\tlr:[3.5203368e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:11,284 [    hooks.py:  207]:\tstep: 21800\tsteps/sec: 1.05361\tloss: 0.31519\tlr:[3.519658e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:20,641 [    hooks.py:  207]:\tstep: 21810\tsteps/sec: 1.08222\tloss: 0.50956\tlr:[3.518979e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:29,281 [    hooks.py:  207]:\tstep: 21820\tsteps/sec: 1.17599\tloss: 0.55554\tlr:[3.5183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:38,845 [    hooks.py:  207]:\tstep: 21830\tsteps/sec: 1.04921\tloss: 0.59199\tlr:[3.5176206e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:46,764 [    hooks.py:  207]:\tstep: 21840\tsteps/sec: 1.22499\tloss: 0.68727\tlr:[3.5169414e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:27:54,996 [    hooks.py:  207]:\tstep: 21850\tsteps/sec: 1.24423\tloss: 0.48626\tlr:[3.5162626e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:28:02,332 [    hooks.py:  207]:\tstep: 21860\tsteps/sec: 1.39780\tloss: 0.88451\tlr:[3.5155837e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:28:11,774 [    hooks.py:  207]:\tstep: 21870\tsteps/sec: 1.02243\tloss: 0.32481\tlr:[3.5149045e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:28:18,940 [    hooks.py:  207]:\tstep: 21880\tsteps/sec: 1.44672\tloss: 0.58725\tlr:[3.5142257e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 00:28:26,183 [    hooks.py:  207]:\tstep: 21890\tsteps/sec: 1.32636\tloss: 0.28134\tlr:[3.5135465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:28:34,211 [    hooks.py:  207]:\tstep: 21900\tsteps/sec: 1.28523\tloss: 0.87112\tlr:[3.5128673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:28:42,787 [    hooks.py:  207]:\tstep: 21910\tsteps/sec: 1.12983\tloss: 0.40650\tlr:[3.5121884e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:28:52,044 [    hooks.py:  207]:\tstep: 21920\tsteps/sec: 1.07962\tloss: 0.65672\tlr:[3.5115096e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:01,832 [    hooks.py:  207]:\tstep: 21930\tsteps/sec: 1.06140\tloss: 0.38458\tlr:[3.5108304e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:11,765 [    hooks.py:  207]:\tstep: 21940\tsteps/sec: 0.95016\tloss: 0.95967\tlr:[3.5101508e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:20,640 [    hooks.py:  207]:\tstep: 21950\tsteps/sec: 1.16682\tloss: 0.44766\tlr:[3.5094723e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:27,072 [    hooks.py:  207]:\tstep: 21960\tsteps/sec: 1.52948\tloss: 0.57792\tlr:[3.5087935e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:35,714 [    hooks.py:  207]:\tstep: 21970\tsteps/sec: 1.16612\tloss: 0.53362\tlr:[3.508114e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:44,004 [    hooks.py:  207]:\tstep: 21980\tsteps/sec: 1.20204\tloss: 0.53364\tlr:[3.507435e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:29:53,650 [    hooks.py:  207]:\tstep: 21990\tsteps/sec: 1.06020\tloss: 0.59340\tlr:[3.506756e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:30:03,375 [    hooks.py:  207]:\tstep: 22000\tsteps/sec: 1.06190\tloss: 0.62311\tlr:[3.506077e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:30:03,376 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:30:03,376 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:30:03,376 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:30:03,376 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:30:03,376 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83ac3710>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:30:03,376 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83a7dd30>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:38:05,445 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,447 [  trainer.py:   58]:\t{'acc': 0.7586345381526104, 'loss': 0.6021387143394886}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,447 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,447 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:38:05,448 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:38:05,448 [  trainer.py:   70]:\tacc\t0.7586345381526104\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:38:05,448 [  trainer.py:   70]:\tloss\t0.6021387143394886\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:38:05,448 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,449 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7586345381526104, 'loss': 0.6021387143394886}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,449 [ exporter.py:   64]:\t[Best Exporter]: skip step 22000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,449 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7586345381526104, 'loss': 0.6021387143394886}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,449 [ exporter.py:  104]:\t[Best Exporter]: skip step 22000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:05,450 [monitored_executor.py:  122]:\tsaving step 22000 to ./output/model_22000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:38:08,613 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_19000\u001b[0m\n",
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    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 00:51:55,437 [    hooks.py:  207]:\tstep: 22980\tsteps/sec: 1.37450\tloss: 0.53792\tlr:[3.4395292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:52:05,946 [    hooks.py:  207]:\tstep: 22990\tsteps/sec: 0.98379\tloss: 0.68242\tlr:[3.43885e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 00:52:12,291 [    hooks.py:  207]:\tstep: 23000\tsteps/sec: 1.54761\tloss: 0.53244\tlr:[3.4381712e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:52:12,292 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:52:12,292 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:52:12,292 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 00:52:12,292 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:52:12,292 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf8389c1d0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 00:52:12,293 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83b98ef0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:00:12,567 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,569 [  trainer.py:   58]:\t{'acc': 0.7759036144578313, 'loss': 0.5746730091289068}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,569 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,570 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:00:12,570 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:00:12,570 [  trainer.py:   70]:\tacc\t0.7759036144578313\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:00:12,570 [  trainer.py:   70]:\tloss\t0.5746730091289068\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:00:12,570 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,571 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7759036144578313, 'loss': 0.5746730091289068}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,571 [ exporter.py:   64]:\t[Best Exporter]: skip step 23000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,571 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7759036144578313, 'loss': 0.5746730091289068}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,571 [ exporter.py:  104]:\t[Best Exporter]: skip step 23000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:12,572 [monitored_executor.py:  122]:\tsaving step 23000 to ./output/model_23000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:16,600 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_20000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:24,247 [    hooks.py:  207]:\tstep: 23010\tsteps/sec: 0.02033\tloss: 0.30574\tlr:[3.4374923e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:30,789 [    hooks.py:  207]:\tstep: 23020\tsteps/sec: 1.51617\tloss: 0.32380\tlr:[3.436813e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:39,961 [    hooks.py:  207]:\tstep: 23030\tsteps/sec: 1.05594\tloss: 1.16136\tlr:[3.436134e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:47,567 [    hooks.py:  207]:\tstep: 23040\tsteps/sec: 1.32772\tloss: 0.49861\tlr:[3.4354547e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:00:55,647 [    hooks.py:  207]:\tstep: 23050\tsteps/sec: 1.20731\tloss: 0.55744\tlr:[3.434776e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:07,128 [    hooks.py:  207]:\tstep: 23060\tsteps/sec: 0.88113\tloss: 0.59435\tlr:[3.4340967e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:15,372 [    hooks.py:  207]:\tstep: 23070\tsteps/sec: 1.21219\tloss: 0.55224\tlr:[3.4334174e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:23,372 [    hooks.py:  207]:\tstep: 23080\tsteps/sec: 1.26866\tloss: 0.72115\tlr:[3.432739e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:30,968 [    hooks.py:  207]:\tstep: 23090\tsteps/sec: 1.28235\tloss: 0.32982\tlr:[3.4320594e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:41,101 [    hooks.py:  207]:\tstep: 23100\tsteps/sec: 1.02764\tloss: 0.90887\tlr:[3.4313805e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:47,964 [    hooks.py:  207]:\tstep: 23110\tsteps/sec: 1.43468\tloss: 0.93658\tlr:[3.4307013e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:01:56,384 [    hooks.py:  207]:\tstep: 23120\tsteps/sec: 1.18003\tloss: 0.53734\tlr:[3.4300225e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:04,065 [    hooks.py:  207]:\tstep: 23130\tsteps/sec: 1.30976\tloss: 0.48714\tlr:[3.4293433e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:10,833 [    hooks.py:  207]:\tstep: 23140\tsteps/sec: 1.52850\tloss: 0.48178\tlr:[3.428664e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:17,624 [    hooks.py:  207]:\tstep: 23150\tsteps/sec: 1.40617\tloss: 0.55583\tlr:[3.4279856e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:27,380 [    hooks.py:  207]:\tstep: 23160\tsteps/sec: 1.03150\tloss: 0.58494\tlr:[3.4273067e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:34,610 [    hooks.py:  207]:\tstep: 23170\tsteps/sec: 1.41299\tloss: 0.89327\tlr:[3.426627e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:43,504 [    hooks.py:  207]:\tstep: 23180\tsteps/sec: 1.08857\tloss: 0.26824\tlr:[3.425948e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:02:52,618 [    hooks.py:  207]:\tstep: 23190\tsteps/sec: 1.10086\tloss: 0.68816\tlr:[3.4252695e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:02,380 [    hooks.py:  207]:\tstep: 23200\tsteps/sec: 1.06599\tloss: 0.83788\tlr:[3.4245906e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:09,943 [    hooks.py:  207]:\tstep: 23210\tsteps/sec: 1.29546\tloss: 0.77448\tlr:[3.4239107e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:19,785 [    hooks.py:  207]:\tstep: 23220\tsteps/sec: 1.02722\tloss: 0.46533\tlr:[3.423232e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:28,045 [    hooks.py:  207]:\tstep: 23230\tsteps/sec: 1.18091\tloss: 0.34836\tlr:[3.422553e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:34,861 [    hooks.py:  207]:\tstep: 23240\tsteps/sec: 1.52653\tloss: 0.72684\tlr:[3.421874e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:41,748 [    hooks.py:  207]:\tstep: 23250\tsteps/sec: 1.39775\tloss: 0.77181\tlr:[3.421195e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:49,884 [    hooks.py:  207]:\tstep: 23260\tsteps/sec: 1.26674\tloss: 0.45358\tlr:[3.4205157e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:03:59,569 [    hooks.py:  207]:\tstep: 23270\tsteps/sec: 1.03521\tloss: 0.48842\tlr:[3.419837e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:07,523 [    hooks.py:  207]:\tstep: 23280\tsteps/sec: 1.16758\tloss: 0.55189\tlr:[3.4191577e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:16,940 [    hooks.py:  207]:\tstep: 23290\tsteps/sec: 1.09362\tloss: 0.77972\tlr:[3.4184784e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:24,233 [    hooks.py:  207]:\tstep: 23300\tsteps/sec: 1.41856\tloss: 0.35644\tlr:[3.4177996e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:34,746 [    hooks.py:  207]:\tstep: 23310\tsteps/sec: 0.95152\tloss: 0.61596\tlr:[3.4171208e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:42,583 [    hooks.py:  207]:\tstep: 23320\tsteps/sec: 1.24388\tloss: 0.70256\tlr:[3.4164415e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:49,990 [    hooks.py:  207]:\tstep: 23330\tsteps/sec: 1.40919\tloss: 0.78551\tlr:[3.4157623e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:04:57,582 [    hooks.py:  207]:\tstep: 23340\tsteps/sec: 1.25277\tloss: 0.77841\tlr:[3.415083e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:04,917 [    hooks.py:  207]:\tstep: 23350\tsteps/sec: 1.42711\tloss: 0.44332\tlr:[3.4144043e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:13,011 [    hooks.py:  207]:\tstep: 23360\tsteps/sec: 1.20289\tloss: 0.84031\tlr:[3.4137247e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:19,788 [    hooks.py:  207]:\tstep: 23370\tsteps/sec: 1.53489\tloss: 0.47603\tlr:[3.413046e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:27,801 [    hooks.py:  207]:\tstep: 23380\tsteps/sec: 1.19532\tloss: 0.50187\tlr:[3.4123674e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:37,493 [    hooks.py:  207]:\tstep: 23390\tsteps/sec: 1.03957\tloss: 0.39402\tlr:[3.411688e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:46,094 [    hooks.py:  207]:\tstep: 23400\tsteps/sec: 1.16846\tloss: 1.10365\tlr:[3.4110086e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:05:57,312 [    hooks.py:  207]:\tstep: 23410\tsteps/sec: 0.87841\tloss: 0.54123\tlr:[3.4103297e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:06:06,890 [    hooks.py:  207]:\tstep: 23420\tsteps/sec: 1.05519\tloss: 0.59502\tlr:[3.4096513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:06:15,339 [    hooks.py:  207]:\tstep: 23430\tsteps/sec: 1.22633\tloss: 0.85565\tlr:[3.408972e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:06:22,599 [    hooks.py:  207]:\tstep: 23440\tsteps/sec: 1.32703\tloss: 0.93211\tlr:[3.4082925e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:06:29,640 [    hooks.py:  207]:\tstep: 23450\tsteps/sec: 1.47592\tloss: 0.60936\tlr:[3.4076136e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 01:06:38,988 [    hooks.py:  207]:\tstep: 23460\tsteps/sec: 1.03775\tloss: 0.75504\tlr:[3.4069348e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:07:29,100 [    hooks.py:  207]:\tstep: 23520\tsteps/sec: 1.54728\tloss: 0.35524\tlr:[3.4028602e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:07:39,717 [    hooks.py:  207]:\tstep: 23530\tsteps/sec: 0.97613\tloss: 0.60580\tlr:[3.402181e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:07:48,426 [    hooks.py:  207]:\tstep: 23540\tsteps/sec: 1.12488\tloss: 0.78034\tlr:[3.4015018e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:09:04,820 [    hooks.py:  207]:\tstep: 23630\tsteps/sec: 1.25239\tloss: 0.29100\tlr:[3.3953904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:09:14,216 [    hooks.py:  207]:\tstep: 23640\tsteps/sec: 1.07953\tloss: 1.16965\tlr:[3.3947115e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:09:21,201 [    hooks.py:  207]:\tstep: 23650\tsteps/sec: 1.35692\tloss: 0.95799\tlr:[3.3940327e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:09:31,658 [    hooks.py:  207]:\tstep: 23660\tsteps/sec: 0.99281\tloss: 0.82863\tlr:[3.3933535e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:11:06,843 [    hooks.py:  207]:\tstep: 23770\tsteps/sec: 1.28984\tloss: 0.74301\tlr:[3.3858836e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:11:16,379 [    hooks.py:  207]:\tstep: 23780\tsteps/sec: 1.05177\tloss: 0.36135\tlr:[3.3852048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:11:24,286 [    hooks.py:  207]:\tstep: 23790\tsteps/sec: 1.28754\tloss: 0.41585\tlr:[3.384526e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:11:30,822 [    hooks.py:  207]:\tstep: 23800\tsteps/sec: 1.45981\tloss: 1.12347\tlr:[3.3838467e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:11:39,877 [    hooks.py:  207]:\tstep: 23810\tsteps/sec: 1.14710\tloss: 0.77235\tlr:[3.383167e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:11:49,331 [    hooks.py:  207]:\tstep: 23820\tsteps/sec: 1.04922\tloss: 0.65511\tlr:[3.3824886e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:11:58,798 [    hooks.py:  207]:\tstep: 23830\tsteps/sec: 1.04918\tloss: 0.59046\tlr:[3.3818094e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:07,883 [    hooks.py:  207]:\tstep: 23840\tsteps/sec: 1.05314\tloss: 0.57025\tlr:[3.3811302e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:15,777 [    hooks.py:  207]:\tstep: 23850\tsteps/sec: 1.28056\tloss: 0.55530\tlr:[3.380451e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:25,350 [    hooks.py:  207]:\tstep: 23860\tsteps/sec: 1.11593\tloss: 0.64787\tlr:[3.379772e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:32,161 [    hooks.py:  207]:\tstep: 23870\tsteps/sec: 1.33666\tloss: 0.86924\tlr:[3.3790933e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:40,100 [    hooks.py:  207]:\tstep: 23880\tsteps/sec: 1.37909\tloss: 0.61344\tlr:[3.378414e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:46,795 [    hooks.py:  207]:\tstep: 23890\tsteps/sec: 1.35161\tloss: 0.43764\tlr:[3.3777353e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:12:54,564 [    hooks.py:  207]:\tstep: 23900\tsteps/sec: 1.37751\tloss: 0.47040\tlr:[3.377056e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:02,495 [    hooks.py:  207]:\tstep: 23910\tsteps/sec: 1.29550\tloss: 0.47646\tlr:[3.3763772e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:11,032 [    hooks.py:  207]:\tstep: 23920\tsteps/sec: 1.15262\tloss: 0.37268\tlr:[3.375698e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:19,084 [    hooks.py:  207]:\tstep: 23930\tsteps/sec: 1.17387\tloss: 0.39230\tlr:[3.3750188e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:27,918 [    hooks.py:  207]:\tstep: 23940\tsteps/sec: 1.11770\tloss: 0.54208\tlr:[3.37434e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:38,891 [    hooks.py:  207]:\tstep: 23950\tsteps/sec: 0.94375\tloss: 0.52092\tlr:[3.3736607e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:45,956 [    hooks.py:  207]:\tstep: 23960\tsteps/sec: 1.37121\tloss: 0.24334\tlr:[3.3729815e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:13:55,743 [    hooks.py:  207]:\tstep: 23970\tsteps/sec: 1.07423\tloss: 0.64352\tlr:[3.3723027e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:04,752 [    hooks.py:  207]:\tstep: 23980\tsteps/sec: 1.09698\tloss: 0.71098\tlr:[3.371624e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:13,632 [    hooks.py:  207]:\tstep: 23990\tsteps/sec: 1.11248\tloss: 0.61057\tlr:[3.3709446e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:21,966 [    hooks.py:  207]:\tstep: 24000\tsteps/sec: 1.18243\tloss: 0.48590\tlr:[3.3702654e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:21,966 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:21,966 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:21,967 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:14:21,967 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:21,967 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83887da0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:14:21,967 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf837f5f60>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:22:30,219 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,220 [  trainer.py:   58]:\t{'acc': 0.7622489959839357, 'loss': 0.5803830635089141}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,221 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,222 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:22:30,222 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:22:30,222 [  trainer.py:   70]:\tacc\t0.7622489959839357\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:22:30,222 [  trainer.py:   70]:\tloss\t0.5803830635089141\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:22:30,222 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,222 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7622489959839357, 'loss': 0.5803830635089141}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,222 [ exporter.py:   64]:\t[Best Exporter]: skip step 24000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,223 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7622489959839357, 'loss': 0.5803830635089141}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,223 [ exporter.py:  104]:\t[Best Exporter]: skip step 24000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:30,224 [monitored_executor.py:  122]:\tsaving step 24000 to ./output/model_24000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 01:22:33,464 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_21000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:41,658 [    hooks.py:  207]:\tstep: 24010\tsteps/sec: 0.02000\tloss: 0.70119\tlr:[3.3695866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:49,911 [    hooks.py:  207]:\tstep: 24020\tsteps/sec: 1.28793\tloss: 0.77579\tlr:[3.3689073e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:22:56,688 [    hooks.py:  207]:\tstep: 24030\tsteps/sec: 1.42935\tloss: 0.89557\tlr:[3.368228e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:03,429 [    hooks.py:  207]:\tstep: 24040\tsteps/sec: 1.53662\tloss: 0.59259\tlr:[3.367549e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:13,418 [    hooks.py:  207]:\tstep: 24050\tsteps/sec: 0.97777\tloss: 0.46549\tlr:[3.36687e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:24,774 [    hooks.py:  207]:\tstep: 24060\tsteps/sec: 0.90041\tloss: 0.53706\tlr:[3.3661916e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:33,386 [    hooks.py:  207]:\tstep: 24070\tsteps/sec: 1.13095\tloss: 0.61295\tlr:[3.3655124e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:42,629 [    hooks.py:  207]:\tstep: 24080\tsteps/sec: 1.07457\tloss: 0.56451\tlr:[3.3648328e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:50,744 [    hooks.py:  207]:\tstep: 24090\tsteps/sec: 1.23414\tloss: 0.41075\tlr:[3.364154e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:23:58,878 [    hooks.py:  207]:\tstep: 24100\tsteps/sec: 1.25030\tloss: 0.65191\tlr:[3.3634748e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:24:09,965 [    hooks.py:  207]:\tstep: 24110\tsteps/sec: 0.91117\tloss: 0.55182\tlr:[3.3627955e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:24:20,538 [    hooks.py:  207]:\tstep: 24120\tsteps/sec: 0.95682\tloss: 0.72482\tlr:[3.3621167e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:24:28,668 [    hooks.py:  207]:\tstep: 24130\tsteps/sec: 1.18580\tloss: 0.58830\tlr:[3.361438e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:24:37,847 [    hooks.py:  207]:\tstep: 24140\tsteps/sec: 1.07659\tloss: 0.60997\tlr:[3.3607586e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:24:45,477 [    hooks.py:  207]:\tstep: 24150\tsteps/sec: 1.31018\tloss: 0.39855\tlr:[3.3600794e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:24:54,981 [    hooks.py:  207]:\tstep: 24160\tsteps/sec: 1.08755\tloss: 0.62546\tlr:[3.3594006e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:03,499 [    hooks.py:  207]:\tstep: 24170\tsteps/sec: 1.19479\tloss: 0.76179\tlr:[3.3587217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:10,872 [    hooks.py:  207]:\tstep: 24180\tsteps/sec: 1.32915\tloss: 0.95524\tlr:[3.358043e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:21,238 [    hooks.py:  207]:\tstep: 24190\tsteps/sec: 0.96758\tloss: 0.72079\tlr:[3.3573637e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:28,677 [    hooks.py:  207]:\tstep: 24200\tsteps/sec: 1.30312\tloss: 0.49525\tlr:[3.356685e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:38,161 [    hooks.py:  207]:\tstep: 24210\tsteps/sec: 1.05161\tloss: 0.65488\tlr:[3.3560056e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:45,158 [    hooks.py:  207]:\tstep: 24220\tsteps/sec: 1.48569\tloss: 0.52852\tlr:[3.3553264e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:25:55,788 [    hooks.py:  207]:\tstep: 24230\tsteps/sec: 0.93801\tloss: 0.49243\tlr:[3.3546472e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:04,722 [    hooks.py:  207]:\tstep: 24240\tsteps/sec: 1.11743\tloss: 0.52349\tlr:[3.3539683e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:12,023 [    hooks.py:  207]:\tstep: 24250\tsteps/sec: 1.32235\tloss: 0.90321\tlr:[3.353289e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:21,510 [    hooks.py:  207]:\tstep: 24260\tsteps/sec: 1.08379\tloss: 0.42554\tlr:[3.35261e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:30,363 [    hooks.py:  207]:\tstep: 24270\tsteps/sec: 1.13832\tloss: 0.37284\tlr:[3.3519307e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:38,127 [    hooks.py:  207]:\tstep: 24280\tsteps/sec: 1.19804\tloss: 0.90121\tlr:[3.3512522e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:48,483 [    hooks.py:  207]:\tstep: 24290\tsteps/sec: 0.98623\tloss: 0.25465\tlr:[3.350573e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:26:57,077 [    hooks.py:  207]:\tstep: 24300\tsteps/sec: 1.17821\tloss: 0.45134\tlr:[3.3498934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:04,019 [    hooks.py:  207]:\tstep: 24310\tsteps/sec: 1.43906\tloss: 0.59684\tlr:[3.3492146e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:12,692 [    hooks.py:  207]:\tstep: 24320\tsteps/sec: 1.13858\tloss: 0.34537\tlr:[3.3485358e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:22,492 [    hooks.py:  207]:\tstep: 24330\tsteps/sec: 1.02469\tloss: 0.57567\tlr:[3.3478565e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:30,649 [    hooks.py:  207]:\tstep: 24340\tsteps/sec: 1.26713\tloss: 0.52602\tlr:[3.3471777e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:38,136 [    hooks.py:  207]:\tstep: 24350\tsteps/sec: 1.30084\tloss: 0.42733\tlr:[3.346499e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:45,540 [    hooks.py:  207]:\tstep: 24360\tsteps/sec: 1.34160\tloss: 0.69029\tlr:[3.3458196e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:27:54,268 [    hooks.py:  207]:\tstep: 24370\tsteps/sec: 1.15610\tloss: 0.77435\tlr:[3.3451404e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:01,887 [    hooks.py:  207]:\tstep: 24380\tsteps/sec: 1.42678\tloss: 0.65731\tlr:[3.3444616e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:08,341 [    hooks.py:  207]:\tstep: 24390\tsteps/sec: 1.40651\tloss: 0.75449\tlr:[3.3437827e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:17,821 [    hooks.py:  207]:\tstep: 24400\tsteps/sec: 1.05201\tloss: 0.33865\tlr:[3.343103e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:26,115 [    hooks.py:  207]:\tstep: 24410\tsteps/sec: 1.24124\tloss: 0.64852\tlr:[3.342424e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:32,950 [    hooks.py:  207]:\tstep: 24420\tsteps/sec: 1.35312\tloss: 0.53096\tlr:[3.3417455e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:41,832 [    hooks.py:  207]:\tstep: 24430\tsteps/sec: 1.21428\tloss: 0.51173\tlr:[3.3410663e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:28:52,388 [    hooks.py:  207]:\tstep: 24440\tsteps/sec: 0.91332\tloss: 0.50811\tlr:[3.340387e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:01,946 [    hooks.py:  207]:\tstep: 24450\tsteps/sec: 1.06638\tloss: 0.34732\tlr:[3.3397082e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:09,782 [    hooks.py:  207]:\tstep: 24460\tsteps/sec: 1.29306\tloss: 0.65291\tlr:[3.339029e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:16,921 [    hooks.py:  207]:\tstep: 24470\tsteps/sec: 1.35401\tloss: 0.26420\tlr:[3.33835e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:24,420 [    hooks.py:  207]:\tstep: 24480\tsteps/sec: 1.34655\tloss: 0.58767\tlr:[3.337671e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:33,074 [    hooks.py:  207]:\tstep: 24490\tsteps/sec: 1.15153\tloss: 0.43570\tlr:[3.3369917e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:39,620 [    hooks.py:  207]:\tstep: 24500\tsteps/sec: 1.49520\tloss: 0.60611\tlr:[3.3363125e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:49,020 [    hooks.py:  207]:\tstep: 24510\tsteps/sec: 1.08900\tloss: 0.27603\tlr:[3.3356337e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:29:58,181 [    hooks.py:  207]:\tstep: 24520\tsteps/sec: 1.04927\tloss: 0.49789\tlr:[3.3349545e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:07,193 [    hooks.py:  207]:\tstep: 24530\tsteps/sec: 1.16533\tloss: 0.51029\tlr:[3.3342752e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:14,119 [    hooks.py:  207]:\tstep: 24540\tsteps/sec: 1.43002\tloss: 1.02694\tlr:[3.3335964e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:22,993 [    hooks.py:  207]:\tstep: 24550\tsteps/sec: 1.11844\tloss: 0.43461\tlr:[3.3329172e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:32,549 [    hooks.py:  207]:\tstep: 24560\tsteps/sec: 1.03991\tloss: 0.26126\tlr:[3.332238e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:40,010 [    hooks.py:  207]:\tstep: 24570\tsteps/sec: 1.42288\tloss: 0.79015\tlr:[3.331559e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:49,306 [    hooks.py:  207]:\tstep: 24580\tsteps/sec: 1.00932\tloss: 0.45796\tlr:[3.3308803e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:30:58,752 [    hooks.py:  207]:\tstep: 24590\tsteps/sec: 1.10185\tloss: 0.38197\tlr:[3.330201e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:31:06,455 [    hooks.py:  207]:\tstep: 24600\tsteps/sec: 1.32601\tloss: 0.45444\tlr:[3.329522e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:31:14,933 [    hooks.py:  207]:\tstep: 24610\tsteps/sec: 1.13316\tloss: 0.76654\tlr:[3.328843e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:31:23,199 [    hooks.py:  207]:\tstep: 24620\tsteps/sec: 1.22145\tloss: 0.49871\tlr:[3.328164e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:31:33,577 [    hooks.py:  207]:\tstep: 24630\tsteps/sec: 0.96701\tloss: 0.54344\tlr:[3.327485e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:31:40,776 [    hooks.py:  207]:\tstep: 24640\tsteps/sec: 1.48945\tloss: 0.47551\tlr:[3.3268057e-05]\u001b[0m\n"
     ]
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    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 01:31:48,241 [    hooks.py:  207]:\tstep: 24650\tsteps/sec: 1.25010\tloss: 0.33190\tlr:[3.326127e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:31:55,062 [    hooks.py:  207]:\tstep: 24660\tsteps/sec: 1.44703\tloss: 0.48957\tlr:[3.325448e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:32:03,239 [    hooks.py:  207]:\tstep: 24670\tsteps/sec: 1.24651\tloss: 0.60293\tlr:[3.324769e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:32:13,824 [    hooks.py:  207]:\tstep: 24680\tsteps/sec: 0.94318\tloss: 0.43282\tlr:[3.3240896e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:32:28,157 [    hooks.py:  207]:\tstep: 24700\tsteps/sec: 1.34560\tloss: 0.54301\tlr:[3.3227316e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:32:37,289 [    hooks.py:  207]:\tstep: 24710\tsteps/sec: 1.09583\tloss: 0.46755\tlr:[3.3220524e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:32:48,271 [    hooks.py:  207]:\tstep: 24720\tsteps/sec: 0.91472\tloss: 0.47267\tlr:[3.3213735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:32:55,154 [    hooks.py:  207]:\tstep: 24730\tsteps/sec: 1.49285\tloss: 0.53344\tlr:[3.3206943e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:06,112 [    hooks.py:  207]:\tstep: 24740\tsteps/sec: 0.91127\tloss: 0.40278\tlr:[3.320015e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:14,261 [    hooks.py:  207]:\tstep: 24750\tsteps/sec: 1.15921\tloss: 0.68426\tlr:[3.3193362e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:22,975 [    hooks.py:  207]:\tstep: 24760\tsteps/sec: 1.18586\tloss: 1.16661\tlr:[3.318657e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:29,393 [    hooks.py:  207]:\tstep: 24770\tsteps/sec: 1.57575\tloss: 0.50528\tlr:[3.3179782e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:37,259 [    hooks.py:  207]:\tstep: 24780\tsteps/sec: 1.25569\tloss: 0.21749\tlr:[3.317299e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:49,512 [    hooks.py:  207]:\tstep: 24790\tsteps/sec: 0.82468\tloss: 0.43100\tlr:[3.3166198e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:33:56,830 [    hooks.py:  207]:\tstep: 24800\tsteps/sec: 1.37402\tloss: 0.32297\tlr:[3.315941e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:05,654 [    hooks.py:  207]:\tstep: 24810\tsteps/sec: 1.15105\tloss: 0.49413\tlr:[3.315262e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:14,486 [    hooks.py:  207]:\tstep: 24820\tsteps/sec: 1.11248\tloss: 0.62747\tlr:[3.3145832e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:20,937 [    hooks.py:  207]:\tstep: 24830\tsteps/sec: 1.60588\tloss: 0.62976\tlr:[3.313904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:27,576 [    hooks.py:  207]:\tstep: 24840\tsteps/sec: 1.41778\tloss: 0.70218\tlr:[3.3132248e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:36,508 [    hooks.py:  207]:\tstep: 24850\tsteps/sec: 1.16639\tloss: 0.71051\tlr:[3.3125456e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:43,631 [    hooks.py:  207]:\tstep: 24860\tsteps/sec: 1.35304\tloss: 0.55008\tlr:[3.3118664e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:34:51,372 [    hooks.py:  207]:\tstep: 24870\tsteps/sec: 1.34015\tloss: 0.58918\tlr:[3.3111875e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:01,052 [    hooks.py:  207]:\tstep: 24880\tsteps/sec: 1.05372\tloss: 0.37685\tlr:[3.310509e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:09,556 [    hooks.py:  207]:\tstep: 24890\tsteps/sec: 1.08070\tloss: 0.47087\tlr:[3.30983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:18,438 [    hooks.py:  207]:\tstep: 24900\tsteps/sec: 1.15350\tloss: 0.85524\tlr:[3.3091506e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:28,831 [    hooks.py:  207]:\tstep: 24910\tsteps/sec: 0.96408\tloss: 0.38655\tlr:[3.3084718e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:37,321 [    hooks.py:  207]:\tstep: 24920\tsteps/sec: 1.18420\tloss: 0.56074\tlr:[3.307793e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:47,166 [    hooks.py:  207]:\tstep: 24930\tsteps/sec: 1.02240\tloss: 1.03498\tlr:[3.3071137e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:35:55,167 [    hooks.py:  207]:\tstep: 24940\tsteps/sec: 1.27440\tloss: 0.45786\tlr:[3.3064345e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:02,536 [    hooks.py:  207]:\tstep: 24950\tsteps/sec: 1.38542\tloss: 0.31975\tlr:[3.3057553e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:11,481 [    hooks.py:  207]:\tstep: 24960\tsteps/sec: 1.10573\tloss: 0.35770\tlr:[3.3050765e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:19,234 [    hooks.py:  207]:\tstep: 24970\tsteps/sec: 1.18978\tloss: 0.52545\tlr:[3.3043973e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:28,226 [    hooks.py:  207]:\tstep: 24980\tsteps/sec: 1.16373\tloss: 0.35260\tlr:[3.303718e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:37,492 [    hooks.py:  207]:\tstep: 24990\tsteps/sec: 1.02283\tloss: 0.23369\tlr:[3.3030392e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:47,101 [    hooks.py:  207]:\tstep: 25000\tsteps/sec: 1.05410\tloss: 0.28566\tlr:[3.30236e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:47,102 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:47,102 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:47,102 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:36:47,102 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:47,102 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf8388cf28>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:36:47,103 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83add710>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:44:50,010 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,011 [  trainer.py:   58]:\t{'acc': 0.7819277108433735, 'loss': 0.5502896990913612}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,012 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,012 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:44:50,013 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:44:50,013 [  trainer.py:   70]:\tacc\t0.7819277108433735\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:44:50,013 [  trainer.py:   70]:\tloss\t0.5502896990913612\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:44:50,013 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,013 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7819277108433735, 'loss': 0.5502896990913612}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,013 [ exporter.py:   64]:\t[Best Exporter]: skip step 25000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,013 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7819277108433735, 'loss': 0.5502896990913612}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,013 [ exporter.py:  104]:\t[Best Exporter]: skip step 25000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:50,014 [monitored_executor.py:  122]:\tsaving step 25000 to ./output/model_25000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:44:53,141 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_22000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:01,749 [    hooks.py:  207]:\tstep: 25010\tsteps/sec: 0.02024\tloss: 0.34160\tlr:[3.3016808e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:12,837 [    hooks.py:  207]:\tstep: 25020\tsteps/sec: 0.88776\tloss: 0.63466\tlr:[3.301002e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:21,008 [    hooks.py:  207]:\tstep: 25030\tsteps/sec: 1.26351\tloss: 0.56526\tlr:[3.300323e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:29,625 [    hooks.py:  207]:\tstep: 25040\tsteps/sec: 1.12748\tloss: 0.26646\tlr:[3.299644e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:36,568 [    hooks.py:  207]:\tstep: 25050\tsteps/sec: 1.49357\tloss: 0.94711\tlr:[3.2989647e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:43,835 [    hooks.py:  207]:\tstep: 25060\tsteps/sec: 1.33669\tloss: 0.41647\tlr:[3.2982858e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:45:52,962 [    hooks.py:  207]:\tstep: 25070\tsteps/sec: 1.08598\tloss: 0.59476\tlr:[3.297607e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:46:01,561 [    hooks.py:  207]:\tstep: 25080\tsteps/sec: 1.25706\tloss: 0.47127\tlr:[3.2969278e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:46:08,924 [    hooks.py:  207]:\tstep: 25090\tsteps/sec: 1.19129\tloss: 0.61633\tlr:[3.2962485e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:46:18,598 [    hooks.py:  207]:\tstep: 25100\tsteps/sec: 1.05061\tloss: 0.27473\tlr:[3.2955697e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 01:46:27,177 [    hooks.py:  207]:\tstep: 25110\tsteps/sec: 1.20204\tloss: 0.94583\tlr:[3.294891e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:46:36,653 [    hooks.py:  207]:\tstep: 25120\tsteps/sec: 1.07952\tloss: 0.45268\tlr:[3.2942113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:46:43,245 [    hooks.py:  207]:\tstep: 25130\tsteps/sec: 1.40011\tloss: 0.48377\tlr:[3.2935324e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:46:51,562 [    hooks.py:  207]:\tstep: 25140\tsteps/sec: 1.31970\tloss: 0.60189\tlr:[3.2928536e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:47:06,775 [    hooks.py:  207]:\tstep: 25160\tsteps/sec: 1.27766\tloss: 0.35198\tlr:[3.2914948e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:47:31,929 [    hooks.py:  207]:\tstep: 25190\tsteps/sec: 1.21889\tloss: 0.28900\tlr:[3.289458e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:47:43,524 [    hooks.py:  207]:\tstep: 25200\tsteps/sec: 0.84734\tloss: 0.60028\tlr:[3.2887787e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:47:53,099 [    hooks.py:  207]:\tstep: 25210\tsteps/sec: 1.03942\tloss: 0.54476\tlr:[3.2881e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:48:55,086 [    hooks.py:  207]:\tstep: 25280\tsteps/sec: 1.02659\tloss: 0.50507\tlr:[3.2833465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:49:04,565 [    hooks.py:  207]:\tstep: 25290\tsteps/sec: 1.04395\tloss: 0.29242\tlr:[3.2826676e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:49:12,674 [    hooks.py:  207]:\tstep: 25300\tsteps/sec: 1.23538\tloss: 0.60432\tlr:[3.2819884e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:49:21,215 [    hooks.py:  207]:\tstep: 25310\tsteps/sec: 1.21297\tloss: 0.69551\tlr:[3.2813092e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:49:28,194 [    hooks.py:  207]:\tstep: 25320\tsteps/sec: 1.35351\tloss: 0.35624\tlr:[3.2806303e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:49:35,363 [    hooks.py:  207]:\tstep: 25330\tsteps/sec: 1.44093\tloss: 1.12582\tlr:[3.279951e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:49:53,911 [    hooks.py:  207]:\tstep: 25350\tsteps/sec: 1.00662\tloss: 0.43083\tlr:[3.278593e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:50:03,149 [    hooks.py:  207]:\tstep: 25360\tsteps/sec: 1.13971\tloss: 1.00342\tlr:[3.2779142e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:50:09,135 [    hooks.py:  207]:\tstep: 25370\tsteps/sec: 1.46118\tloss: 0.47555\tlr:[3.2772354e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:50:26,823 [    hooks.py:  207]:\tstep: 25390\tsteps/sec: 1.23458\tloss: 0.56480\tlr:[3.2758766e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:50:35,448 [    hooks.py:  207]:\tstep: 25400\tsteps/sec: 1.21857\tloss: 0.65559\tlr:[3.2751977e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:50:43,155 [    hooks.py:  207]:\tstep: 25410\tsteps/sec: 1.20153\tloss: 1.02196\tlr:[3.274519e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:51:09,196 [    hooks.py:  207]:\tstep: 25440\tsteps/sec: 1.12247\tloss: 0.66572\tlr:[3.2724816e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:51:18,398 [    hooks.py:  207]:\tstep: 25450\tsteps/sec: 1.08296\tloss: 0.61122\tlr:[3.2718024e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:51:25,917 [    hooks.py:  207]:\tstep: 25460\tsteps/sec: 1.37482\tloss: 0.49258\tlr:[3.2711232e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 01:52:26,160 [    hooks.py:  207]:\tstep: 25530\tsteps/sec: 1.23278\tloss: 0.68602\tlr:[3.26637e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:52:33,861 [    hooks.py:  207]:\tstep: 25540\tsteps/sec: 1.23841\tloss: 0.33286\tlr:[3.265691e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:52:42,589 [    hooks.py:  207]:\tstep: 25550\tsteps/sec: 1.17032\tloss: 0.70501\tlr:[3.2650118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:52:50,753 [    hooks.py:  207]:\tstep: 25560\tsteps/sec: 1.19572\tloss: 0.53175\tlr:[3.264333e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:02,679 [    hooks.py:  207]:\tstep: 25570\tsteps/sec: 0.88220\tloss: 0.27998\tlr:[3.2636533e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:09,801 [    hooks.py:  207]:\tstep: 25580\tsteps/sec: 1.29810\tloss: 0.46079\tlr:[3.2629745e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:17,961 [    hooks.py:  207]:\tstep: 25590\tsteps/sec: 1.22396\tloss: 0.42557\tlr:[3.2622956e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:27,083 [    hooks.py:  207]:\tstep: 25600\tsteps/sec: 1.12458\tloss: 0.56362\tlr:[3.2616164e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:33,315 [    hooks.py:  207]:\tstep: 25610\tsteps/sec: 1.47758\tloss: 0.45598\tlr:[3.2609372e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:41,611 [    hooks.py:  207]:\tstep: 25620\tsteps/sec: 1.34716\tloss: 0.70615\tlr:[3.2602584e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:49,304 [    hooks.py:  207]:\tstep: 25630\tsteps/sec: 1.21961\tloss: 0.54587\tlr:[3.2595795e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:53:58,775 [    hooks.py:  207]:\tstep: 25640\tsteps/sec: 1.05366\tloss: 0.45655\tlr:[3.2589003e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:54:07,762 [    hooks.py:  207]:\tstep: 25650\tsteps/sec: 1.11963\tloss: 0.52073\tlr:[3.258221e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:54:15,057 [    hooks.py:  207]:\tstep: 25660\tsteps/sec: 1.37412\tloss: 0.30315\tlr:[3.2575423e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:54:23,384 [    hooks.py:  207]:\tstep: 25670\tsteps/sec: 1.18737\tloss: 0.85565\tlr:[3.2568634e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:54:32,239 [    hooks.py:  207]:\tstep: 25680\tsteps/sec: 1.16482\tloss: 0.69329\tlr:[3.2561842e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:54:40,776 [    hooks.py:  207]:\tstep: 25690\tsteps/sec: 1.14514\tloss: 0.67505\tlr:[3.255505e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:54:51,843 [    hooks.py:  207]:\tstep: 25700\tsteps/sec: 0.91709\tloss: 0.99017\tlr:[3.254826e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:02,355 [    hooks.py:  207]:\tstep: 25710\tsteps/sec: 0.99572\tloss: 0.27863\tlr:[3.254147e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:10,759 [    hooks.py:  207]:\tstep: 25720\tsteps/sec: 1.14211\tloss: 0.41507\tlr:[3.2534677e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:17,134 [    hooks.py:  207]:\tstep: 25730\tsteps/sec: 1.44325\tloss: 0.54814\tlr:[3.2527885e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:25,162 [    hooks.py:  207]:\tstep: 25740\tsteps/sec: 1.29240\tloss: 0.60942\tlr:[3.2521097e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:34,936 [    hooks.py:  207]:\tstep: 25750\tsteps/sec: 1.00885\tloss: 0.66227\tlr:[3.2514305e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 01:55:43,166 [    hooks.py:  207]:\tstep: 25760\tsteps/sec: 1.22747\tloss: 0.46362\tlr:[3.2507513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:49,677 [    hooks.py:  207]:\tstep: 25770\tsteps/sec: 1.54836\tloss: 0.62752\tlr:[3.2500724e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:55:57,563 [    hooks.py:  207]:\tstep: 25780\tsteps/sec: 1.20669\tloss: 0.65737\tlr:[3.2493936e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:07,844 [    hooks.py:  207]:\tstep: 25790\tsteps/sec: 1.01260\tloss: 0.81890\tlr:[3.248714e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:14,451 [    hooks.py:  207]:\tstep: 25800\tsteps/sec: 1.49799\tloss: 0.71972\tlr:[3.248035e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:23,321 [    hooks.py:  207]:\tstep: 25810\tsteps/sec: 1.12073\tloss: 0.68494\tlr:[3.2473563e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:31,954 [    hooks.py:  207]:\tstep: 25820\tsteps/sec: 1.19663\tloss: 0.64856\tlr:[3.2466774e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:39,270 [    hooks.py:  207]:\tstep: 25830\tsteps/sec: 1.33177\tloss: 0.86378\tlr:[3.2459982e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:47,404 [    hooks.py:  207]:\tstep: 25840\tsteps/sec: 1.16955\tloss: 0.57929\tlr:[3.245319e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:56:56,368 [    hooks.py:  207]:\tstep: 25850\tsteps/sec: 1.21621\tloss: 0.66619\tlr:[3.2446405e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:04,443 [    hooks.py:  207]:\tstep: 25860\tsteps/sec: 1.14533\tloss: 0.22672\tlr:[3.243961e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:14,207 [    hooks.py:  207]:\tstep: 25870\tsteps/sec: 1.06231\tloss: 0.67027\tlr:[3.2432818e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:20,928 [    hooks.py:  207]:\tstep: 25880\tsteps/sec: 1.47309\tloss: 0.44438\tlr:[3.2426033e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:33,346 [    hooks.py:  207]:\tstep: 25890\tsteps/sec: 0.80138\tloss: 0.52032\tlr:[3.241924e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:41,507 [    hooks.py:  207]:\tstep: 25900\tsteps/sec: 1.30151\tloss: 0.73697\tlr:[3.241245e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:48,363 [    hooks.py:  207]:\tstep: 25910\tsteps/sec: 1.32163\tloss: 0.44426\tlr:[3.2405656e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:57:57,487 [    hooks.py:  207]:\tstep: 25920\tsteps/sec: 1.15240\tloss: 0.28915\tlr:[3.2398868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:05,091 [    hooks.py:  207]:\tstep: 25930\tsteps/sec: 1.24824\tloss: 0.26464\tlr:[3.239208e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:15,105 [    hooks.py:  207]:\tstep: 25940\tsteps/sec: 0.99286\tloss: 0.62891\tlr:[3.2385287e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:24,325 [    hooks.py:  207]:\tstep: 25950\tsteps/sec: 1.12656\tloss: 0.57061\tlr:[3.2378495e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:30,859 [    hooks.py:  207]:\tstep: 25960\tsteps/sec: 1.58708\tloss: 0.82533\tlr:[3.2371707e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:40,261 [    hooks.py:  207]:\tstep: 25970\tsteps/sec: 1.01674\tloss: 0.76937\tlr:[3.2364915e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:49,204 [    hooks.py:  207]:\tstep: 25980\tsteps/sec: 1.14604\tloss: 0.61815\tlr:[3.2358123e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:58:57,642 [    hooks.py:  207]:\tstep: 25990\tsteps/sec: 1.18116\tloss: 0.93114\tlr:[3.2351334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:59:08,805 [    hooks.py:  207]:\tstep: 26000\tsteps/sec: 0.89655\tloss: 0.48431\tlr:[3.2344546e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:59:08,806 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:59:08,806 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:59:08,807 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 01:59:08,807 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:59:08,807 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf838abd68>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 01:59:08,807 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf838be320>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:07:13,341 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,342 [  trainer.py:   58]:\t{'acc': 0.7602409638554217, 'loss': 0.5758169206480185}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,343 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,343 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:07:13,343 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:07:13,344 [  trainer.py:   70]:\tacc\t0.7602409638554217\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:07:13,344 [  trainer.py:   70]:\tloss\t0.5758169206480185\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:07:13,344 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,344 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7602409638554217, 'loss': 0.5758169206480185}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,344 [ exporter.py:   64]:\t[Best Exporter]: skip step 26000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,344 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7602409638554217, 'loss': 0.5758169206480185}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,344 [ exporter.py:  104]:\t[Best Exporter]: skip step 26000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:13,345 [monitored_executor.py:  122]:\tsaving step 26000 to ./output/model_26000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:16,701 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_23000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:24,293 [    hooks.py:  207]:\tstep: 26010\tsteps/sec: 0.02018\tloss: 0.79764\tlr:[3.2337754e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:33,478 [    hooks.py:  207]:\tstep: 26020\tsteps/sec: 1.04841\tloss: 0.53082\tlr:[3.233096e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:43,048 [    hooks.py:  207]:\tstep: 26030\tsteps/sec: 1.08079\tloss: 0.26725\tlr:[3.2324173e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:07:51,901 [    hooks.py:  207]:\tstep: 26040\tsteps/sec: 1.12746\tloss: 0.68664\tlr:[3.2317384e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:00,115 [    hooks.py:  207]:\tstep: 26050\tsteps/sec: 1.23992\tloss: 0.73801\tlr:[3.2310592e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:10,785 [    hooks.py:  207]:\tstep: 26060\tsteps/sec: 0.94754\tloss: 0.81593\tlr:[3.23038e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:19,737 [    hooks.py:  207]:\tstep: 26070\tsteps/sec: 1.09750\tloss: 0.49632\tlr:[3.229701e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:27,697 [    hooks.py:  207]:\tstep: 26080\tsteps/sec: 1.24428\tloss: 0.81137\tlr:[3.2290223e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:35,973 [    hooks.py:  207]:\tstep: 26090\tsteps/sec: 1.19602\tloss: 0.75491\tlr:[3.228343e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:42,954 [    hooks.py:  207]:\tstep: 26100\tsteps/sec: 1.37414\tloss: 0.57066\tlr:[3.227664e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:51,888 [    hooks.py:  207]:\tstep: 26110\tsteps/sec: 1.22148\tloss: 0.85552\tlr:[3.226985e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:08:58,646 [    hooks.py:  207]:\tstep: 26120\tsteps/sec: 1.41378\tloss: 0.30015\tlr:[3.2263062e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:04,761 [    hooks.py:  207]:\tstep: 26130\tsteps/sec: 1.53417\tloss: 0.63745\tlr:[3.225627e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:15,644 [    hooks.py:  207]:\tstep: 26140\tsteps/sec: 0.95864\tloss: 0.41535\tlr:[3.2249478e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:24,925 [    hooks.py:  207]:\tstep: 26150\tsteps/sec: 1.02988\tloss: 0.39002\tlr:[3.224269e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:33,449 [    hooks.py:  207]:\tstep: 26160\tsteps/sec: 1.21712\tloss: 0.37068\tlr:[3.2235897e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:41,986 [    hooks.py:  207]:\tstep: 26170\tsteps/sec: 1.23678\tloss: 0.42453\tlr:[3.2229105e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:49,366 [    hooks.py:  207]:\tstep: 26180\tsteps/sec: 1.23135\tloss: 0.46404\tlr:[3.2222313e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:09:59,528 [    hooks.py:  207]:\tstep: 26190\tsteps/sec: 0.99584\tloss: 0.51753\tlr:[3.2215525e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:10:10,203 [    hooks.py:  207]:\tstep: 26200\tsteps/sec: 0.96276\tloss: 0.49466\tlr:[3.2208733e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:10:18,250 [    hooks.py:  207]:\tstep: 26210\tsteps/sec: 1.22300\tloss: 0.74672\tlr:[3.220194e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 02:10:27,353 [    hooks.py:  207]:\tstep: 26220\tsteps/sec: 1.12441\tloss: 0.44321\tlr:[3.2195152e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:10:35,469 [    hooks.py:  207]:\tstep: 26230\tsteps/sec: 1.17386\tloss: 0.95622\tlr:[3.2188364e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:10:44,991 [    hooks.py:  207]:\tstep: 26240\tsteps/sec: 1.08097\tloss: 0.86377\tlr:[3.218157e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:10:56,119 [    hooks.py:  207]:\tstep: 26250\tsteps/sec: 0.91152\tloss: 0.55302\tlr:[3.2174776e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 02:12:20,185 [    hooks.py:  207]:\tstep: 26350\tsteps/sec: 1.27257\tloss: 0.75883\tlr:[3.2106876e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:12:27,419 [    hooks.py:  207]:\tstep: 26360\tsteps/sec: 1.39999\tloss: 0.50509\tlr:[3.210008e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:12:36,219 [    hooks.py:  207]:\tstep: 26370\tsteps/sec: 1.13914\tloss: 0.47641\tlr:[3.2093292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:12:45,271 [    hooks.py:  207]:\tstep: 26380\tsteps/sec: 1.08923\tloss: 0.21939\tlr:[3.2086504e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:12:54,588 [    hooks.py:  207]:\tstep: 26390\tsteps/sec: 1.07545\tloss: 0.65974\tlr:[3.207971e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:03,095 [    hooks.py:  207]:\tstep: 26400\tsteps/sec: 1.25155\tloss: 0.45666\tlr:[3.2072923e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:13,473 [    hooks.py:  207]:\tstep: 26410\tsteps/sec: 0.91727\tloss: 0.69612\tlr:[3.206613e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:21,891 [    hooks.py:  207]:\tstep: 26420\tsteps/sec: 1.22457\tloss: 1.07701\tlr:[3.2059343e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:31,309 [    hooks.py:  207]:\tstep: 26430\tsteps/sec: 1.05976\tloss: 0.59058\tlr:[3.205255e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:39,860 [    hooks.py:  207]:\tstep: 26440\tsteps/sec: 1.13940\tloss: 0.76544\tlr:[3.204576e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:49,889 [    hooks.py:  207]:\tstep: 26450\tsteps/sec: 0.99653\tloss: 0.41863\tlr:[3.203897e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:13:56,780 [    hooks.py:  207]:\tstep: 26460\tsteps/sec: 1.49446\tloss: 0.85930\tlr:[3.2032178e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:08,172 [    hooks.py:  207]:\tstep: 26470\tsteps/sec: 0.85823\tloss: 0.72335\tlr:[3.2025386e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:15,569 [    hooks.py:  207]:\tstep: 26480\tsteps/sec: 1.36185\tloss: 0.60259\tlr:[3.2018594e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:22,001 [    hooks.py:  207]:\tstep: 26490\tsteps/sec: 1.53164\tloss: 0.32044\tlr:[3.2011805e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:30,182 [    hooks.py:  207]:\tstep: 26500\tsteps/sec: 1.23319\tloss: 0.61986\tlr:[3.2005013e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:39,915 [    hooks.py:  207]:\tstep: 26510\tsteps/sec: 1.03106\tloss: 0.40362\tlr:[3.199822e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:50,410 [    hooks.py:  207]:\tstep: 26520\tsteps/sec: 0.95294\tloss: 0.56625\tlr:[3.1991432e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:14:57,806 [    hooks.py:  207]:\tstep: 26530\tsteps/sec: 1.35758\tloss: 0.92877\tlr:[3.1984644e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:15:08,601 [    hooks.py:  207]:\tstep: 26540\tsteps/sec: 0.91927\tloss: 0.94640\tlr:[3.1977856e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:15:17,957 [    hooks.py:  207]:\tstep: 26550\tsteps/sec: 1.07827\tloss: 0.57322\tlr:[3.197106e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:15:25,225 [    hooks.py:  207]:\tstep: 26560\tsteps/sec: 1.37047\tloss: 1.05069\tlr:[3.196427e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:15:34,755 [    hooks.py:  207]:\tstep: 26570\tsteps/sec: 1.01238\tloss: 0.34340\tlr:[3.1957483e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:15:42,825 [    hooks.py:  207]:\tstep: 26580\tsteps/sec: 1.31708\tloss: 0.47945\tlr:[3.195069e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:15:51,981 [    hooks.py:  207]:\tstep: 26590\tsteps/sec: 1.10371\tloss: 0.39142\tlr:[3.19439e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:04,083 [    hooks.py:  207]:\tstep: 26600\tsteps/sec: 0.79676\tloss: 0.70974\tlr:[3.1937114e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:13,112 [    hooks.py:  207]:\tstep: 26610\tsteps/sec: 1.12518\tloss: 0.38368\tlr:[3.193032e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:22,059 [    hooks.py:  207]:\tstep: 26620\tsteps/sec: 1.14748\tloss: 0.30333\tlr:[3.1923526e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:30,450 [    hooks.py:  207]:\tstep: 26630\tsteps/sec: 1.18199\tloss: 0.90498\tlr:[3.1916737e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:38,080 [    hooks.py:  207]:\tstep: 26640\tsteps/sec: 1.28833\tloss: 0.89036\tlr:[3.190995e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:45,015 [    hooks.py:  207]:\tstep: 26650\tsteps/sec: 1.44552\tloss: 0.45799\tlr:[3.190316e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:16:54,110 [    hooks.py:  207]:\tstep: 26660\tsteps/sec: 1.09975\tloss: 0.40625\tlr:[3.1896365e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:03,105 [    hooks.py:  207]:\tstep: 26670\tsteps/sec: 1.18960\tloss: 0.81241\tlr:[3.1889576e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:13,039 [    hooks.py:  207]:\tstep: 26680\tsteps/sec: 0.94679\tloss: 0.65347\tlr:[3.1882784e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:21,837 [    hooks.py:  207]:\tstep: 26690\tsteps/sec: 1.17932\tloss: 0.18489\tlr:[3.1875996e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:31,375 [    hooks.py:  207]:\tstep: 26700\tsteps/sec: 1.04766\tloss: 0.89973\tlr:[3.1869204e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:38,720 [    hooks.py:  207]:\tstep: 26710\tsteps/sec: 1.30105\tloss: 0.40166\tlr:[3.186241e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:45,913 [    hooks.py:  207]:\tstep: 26720\tsteps/sec: 1.41153\tloss: 0.32420\tlr:[3.1855623e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:17:54,732 [    hooks.py:  207]:\tstep: 26730\tsteps/sec: 1.13607\tloss: 0.64654\tlr:[3.184883e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:03,299 [    hooks.py:  207]:\tstep: 26740\tsteps/sec: 1.22242\tloss: 0.35215\tlr:[3.184204e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:13,833 [    hooks.py:  207]:\tstep: 26750\tsteps/sec: 0.88087\tloss: 0.67182\tlr:[3.183525e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:22,924 [    hooks.py:  207]:\tstep: 26760\tsteps/sec: 1.10569\tloss: 0.38123\tlr:[3.182846e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:31,375 [    hooks.py:  207]:\tstep: 26770\tsteps/sec: 1.27752\tloss: 0.62140\tlr:[3.1821666e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:40,366 [    hooks.py:  207]:\tstep: 26780\tsteps/sec: 1.08100\tloss: 0.31371\tlr:[3.1814878e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:47,621 [    hooks.py:  207]:\tstep: 26790\tsteps/sec: 1.40324\tloss: 0.51652\tlr:[3.180809e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:18:58,246 [    hooks.py:  207]:\tstep: 26800\tsteps/sec: 0.92357\tloss: 0.55239\tlr:[3.1801297e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:19:07,792 [    hooks.py:  207]:\tstep: 26810\tsteps/sec: 1.07515\tloss: 0.35803\tlr:[3.1794505e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:19:15,115 [    hooks.py:  207]:\tstep: 26820\tsteps/sec: 1.33713\tloss: 0.42344\tlr:[3.1787717e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:19:23,985 [    hooks.py:  207]:\tstep: 26830\tsteps/sec: 1.11420\tloss: 0.34035\tlr:[3.1780928e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:19:32,501 [    hooks.py:  207]:\tstep: 26840\tsteps/sec: 1.21884\tloss: 0.95569\tlr:[3.1774136e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:19:40,094 [    hooks.py:  207]:\tstep: 26850\tsteps/sec: 1.26944\tloss: 0.39037\tlr:[3.1767344e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:19:47,761 [    hooks.py:  207]:\tstep: 26860\tsteps/sec: 1.34387\tloss: 0.60307\tlr:[3.1760555e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 02:19:54,261 [    hooks.py:  207]:\tstep: 26870\tsteps/sec: 1.42483\tloss: 0.31716\tlr:[3.1753767e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:03,801 [    hooks.py:  207]:\tstep: 26880\tsteps/sec: 1.07880\tloss: 0.08361\tlr:[3.1746975e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:12,822 [    hooks.py:  207]:\tstep: 26890\tsteps/sec: 1.07592\tloss: 0.80588\tlr:[3.1740183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:24,285 [    hooks.py:  207]:\tstep: 26900\tsteps/sec: 0.89874\tloss: 0.32268\tlr:[3.1733394e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:31,514 [    hooks.py:  207]:\tstep: 26910\tsteps/sec: 1.43434\tloss: 0.63437\tlr:[3.1726602e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:38,705 [    hooks.py:  207]:\tstep: 26920\tsteps/sec: 1.33881\tloss: 0.34671\tlr:[3.1719814e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:47,068 [    hooks.py:  207]:\tstep: 26930\tsteps/sec: 1.17823\tloss: 0.32666\tlr:[3.171302e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:20:57,564 [    hooks.py:  207]:\tstep: 26940\tsteps/sec: 0.97270\tloss: 0.80124\tlr:[3.170623e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:06,306 [    hooks.py:  207]:\tstep: 26950\tsteps/sec: 1.11511\tloss: 0.65783\tlr:[3.1699437e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:16,093 [    hooks.py:  207]:\tstep: 26960\tsteps/sec: 1.05507\tloss: 0.74915\tlr:[3.169265e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:24,312 [    hooks.py:  207]:\tstep: 26970\tsteps/sec: 1.17767\tloss: 0.83729\tlr:[3.168586e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:33,228 [    hooks.py:  207]:\tstep: 26980\tsteps/sec: 1.12834\tloss: 0.58304\tlr:[3.167907e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:42,732 [    hooks.py:  207]:\tstep: 26990\tsteps/sec: 1.08065\tloss: 0.35786\tlr:[3.1672276e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:50,123 [    hooks.py:  207]:\tstep: 27000\tsteps/sec: 1.33144\tloss: 0.68673\tlr:[3.1665488e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:50,124 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:50,124 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:50,124 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:21:50,124 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:50,125 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83ac2cf8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:21:50,125 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c68b048>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:29:53,023 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,024 [  trainer.py:   58]:\t{'acc': 0.7895582329317269, 'loss': 0.531344682455827}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,025 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,025 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:29:53,025 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:29:53,025 [  trainer.py:   70]:\tacc\t0.7895582329317269\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:29:53,026 [  trainer.py:   70]:\tloss\t0.531344682455827\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:29:53,026 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,026 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,026 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,027 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_18000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,027 [monitored_executor.py:  122]:\tsaving step 27000 to ./output/best_model/model_27000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,992 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_18000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,992 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}} \n",
      "old: {'eval': {'acc': 0.7855421686746988, 'loss': 0.5396390796089784}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,993 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:53,993 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:55,250 [monitored_executor.py:  122]:\tsaving step 27000 to ./output/model_27000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:29:58,394 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_24000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:30:07,378 [    hooks.py:  207]:\tstep: 27010\tsteps/sec: 0.02012\tloss: 0.34173\tlr:[3.16587e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 02:44:18,749 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:44:18,749 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:44:18,749 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:44:18,750 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:44:18,750 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c907fd0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:44:18,750 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83b51a58>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:52:19,908 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,909 [  trainer.py:   58]:\t{'acc': 0.7759036144578313, 'loss': 0.5532791945987787}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,910 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,910 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:52:19,911 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:52:19,911 [  trainer.py:   70]:\tacc\t0.7759036144578313\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:52:19,911 [  trainer.py:   70]:\tloss\t0.5532791945987787\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 02:52:19,911 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,911 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7759036144578313, 'loss': 0.5532791945987787}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,911 [ exporter.py:   64]:\t[Best Exporter]: skip step 28000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,911 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7759036144578313, 'loss': 0.5532791945987787}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,912 [ exporter.py:  104]:\t[Best Exporter]: skip step 28000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:19,912 [monitored_executor.py:  122]:\tsaving step 28000 to ./output/model_28000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:23,496 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_25000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:31,808 [    hooks.py:  207]:\tstep: 28010\tsteps/sec: 0.02031\tloss: 0.43872\tlr:[3.0979638e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:39,588 [    hooks.py:  207]:\tstep: 28020\tsteps/sec: 1.24239\tloss: 0.33088\tlr:[3.0972853e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:47,712 [    hooks.py:  207]:\tstep: 28030\tsteps/sec: 1.26653\tloss: 0.49012\tlr:[3.0966065e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:52:55,840 [    hooks.py:  207]:\tstep: 28040\tsteps/sec: 1.21506\tloss: 0.62937\tlr:[3.095927e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:02,054 [    hooks.py:  207]:\tstep: 28050\tsteps/sec: 1.63838\tloss: 0.57502\tlr:[3.095248e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:12,317 [    hooks.py:  207]:\tstep: 28060\tsteps/sec: 0.98131\tloss: 0.60647\tlr:[3.094569e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:19,029 [    hooks.py:  207]:\tstep: 28070\tsteps/sec: 1.43801\tloss: 0.49068\tlr:[3.09389e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:25,381 [    hooks.py:  207]:\tstep: 28080\tsteps/sec: 1.51640\tloss: 0.68450\tlr:[3.0932108e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:36,509 [    hooks.py:  207]:\tstep: 28090\tsteps/sec: 0.92446\tloss: 0.46906\tlr:[3.0925316e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:43,942 [    hooks.py:  207]:\tstep: 28100\tsteps/sec: 1.33594\tloss: 0.73868\tlr:[3.0918527e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:50,181 [    hooks.py:  207]:\tstep: 28110\tsteps/sec: 1.58829\tloss: 0.22303\tlr:[3.0911735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:53:57,748 [    hooks.py:  207]:\tstep: 28120\tsteps/sec: 1.37188\tloss: 0.33513\tlr:[3.0904946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:05,399 [    hooks.py:  207]:\tstep: 28130\tsteps/sec: 1.26755\tloss: 0.19564\tlr:[3.0898154e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:13,951 [    hooks.py:  207]:\tstep: 28140\tsteps/sec: 1.17420\tloss: 0.75045\tlr:[3.0891366e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:20,588 [    hooks.py:  207]:\tstep: 28150\tsteps/sec: 1.50291\tloss: 0.22581\tlr:[3.0884574e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:28,073 [    hooks.py:  207]:\tstep: 28160\tsteps/sec: 1.30048\tloss: 0.55206\tlr:[3.087778e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:36,390 [    hooks.py:  207]:\tstep: 28170\tsteps/sec: 1.18080\tloss: 0.68589\tlr:[3.0870993e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:44,378 [    hooks.py:  207]:\tstep: 28180\tsteps/sec: 1.23774\tloss: 0.51656\tlr:[3.08642e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:54:52,723 [    hooks.py:  207]:\tstep: 28190\tsteps/sec: 1.30073\tloss: 0.45818\tlr:[3.085741e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:00,340 [    hooks.py:  207]:\tstep: 28200\tsteps/sec: 1.28946\tloss: 0.91999\tlr:[3.0850617e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:09,523 [    hooks.py:  207]:\tstep: 28210\tsteps/sec: 1.07165\tloss: 0.49523\tlr:[3.084383e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:18,227 [    hooks.py:  207]:\tstep: 28220\tsteps/sec: 1.17828\tloss: 0.38659\tlr:[3.083704e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:24,961 [    hooks.py:  207]:\tstep: 28230\tsteps/sec: 1.43314\tloss: 0.69692\tlr:[3.0830244e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:31,278 [    hooks.py:  207]:\tstep: 28240\tsteps/sec: 1.61547\tloss: 0.48698\tlr:[3.082346e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:38,474 [    hooks.py:  207]:\tstep: 28250\tsteps/sec: 1.41437\tloss: 0.50736\tlr:[3.081667e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:48,113 [    hooks.py:  207]:\tstep: 28260\tsteps/sec: 1.04005\tloss: 0.91542\tlr:[3.0809875e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:55:56,516 [    hooks.py:  207]:\tstep: 28270\tsteps/sec: 1.15830\tloss: 0.40422\tlr:[3.0803083e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:04,840 [    hooks.py:  207]:\tstep: 28280\tsteps/sec: 1.15429\tloss: 0.56459\tlr:[3.0796295e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:14,195 [    hooks.py:  207]:\tstep: 28290\tsteps/sec: 1.09567\tloss: 0.66771\tlr:[3.0789506e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:23,471 [    hooks.py:  207]:\tstep: 28300\tsteps/sec: 1.10521\tloss: 0.66544\tlr:[3.0782714e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:30,348 [    hooks.py:  207]:\tstep: 28310\tsteps/sec: 1.43758\tloss: 0.72499\tlr:[3.0775926e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:39,025 [    hooks.py:  207]:\tstep: 28320\tsteps/sec: 1.14226\tloss: 0.66637\tlr:[3.0769137e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:49,901 [    hooks.py:  207]:\tstep: 28330\tsteps/sec: 0.91286\tloss: 0.60724\tlr:[3.0762345e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:56:58,854 [    hooks.py:  207]:\tstep: 28340\tsteps/sec: 1.09656\tloss: 0.70143\tlr:[3.0755557e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:57:07,362 [    hooks.py:  207]:\tstep: 28350\tsteps/sec: 1.24957\tloss: 0.61755\tlr:[3.0748764e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:57:18,386 [    hooks.py:  207]:\tstep: 28360\tsteps/sec: 0.90540\tloss: 0.35776\tlr:[3.0741972e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:57:27,249 [    hooks.py:  207]:\tstep: 28370\tsteps/sec: 1.13525\tloss: 0.42906\tlr:[3.073518e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:57:35,701 [    hooks.py:  207]:\tstep: 28380\tsteps/sec: 1.14421\tloss: 0.24340\tlr:[3.072839e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:57:46,311 [    hooks.py:  207]:\tstep: 28390\tsteps/sec: 0.94523\tloss: 0.84740\tlr:[3.07216e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 02:57:57,341 [    hooks.py:  207]:\tstep: 28400\tsteps/sec: 0.90081\tloss: 0.30937\tlr:[3.071481e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:58:08,063 [    hooks.py:  207]:\tstep: 28410\tsteps/sec: 0.93409\tloss: 0.48274\tlr:[3.070802e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:58:17,720 [    hooks.py:  207]:\tstep: 28420\tsteps/sec: 1.06522\tloss: 0.47538\tlr:[3.0701227e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:58:26,321 [    hooks.py:  207]:\tstep: 28430\tsteps/sec: 1.14322\tloss: 0.55994\tlr:[3.0694435e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 02:58:41,316 [    hooks.py:  207]:\tstep: 28450\tsteps/sec: 1.23487\tloss: 1.09967\tlr:[3.0680854e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:58:49,833 [    hooks.py:  207]:\tstep: 28460\tsteps/sec: 1.15247\tloss: 0.58962\tlr:[3.0674066e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:58:59,339 [    hooks.py:  207]:\tstep: 28470\tsteps/sec: 1.03144\tloss: 0.73088\tlr:[3.0667277e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:59:10,675 [    hooks.py:  207]:\tstep: 28480\tsteps/sec: 0.91062\tloss: 0.84430\tlr:[3.0660485e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:59:17,297 [    hooks.py:  207]:\tstep: 28490\tsteps/sec: 1.45797\tloss: 0.97338\tlr:[3.0653693e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:59:26,068 [    hooks.py:  207]:\tstep: 28500\tsteps/sec: 1.10660\tloss: 0.63411\tlr:[3.06469e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:59:36,026 [    hooks.py:  207]:\tstep: 28510\tsteps/sec: 1.05531\tloss: 0.27817\tlr:[3.0640113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:59:47,656 [    hooks.py:  207]:\tstep: 28520\tsteps/sec: 0.86961\tloss: 0.48638\tlr:[3.063332e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 02:59:55,791 [    hooks.py:  207]:\tstep: 28530\tsteps/sec: 1.19550\tloss: 0.83893\tlr:[3.0626532e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:04,464 [    hooks.py:  207]:\tstep: 28540\tsteps/sec: 1.11579\tloss: 0.41463\tlr:[3.0619743e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:14,463 [    hooks.py:  207]:\tstep: 28550\tsteps/sec: 1.03602\tloss: 0.33643\tlr:[3.061295e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:21,630 [    hooks.py:  207]:\tstep: 28560\tsteps/sec: 1.39950\tloss: 0.59602\tlr:[3.0606163e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:28,941 [    hooks.py:  207]:\tstep: 28570\tsteps/sec: 1.36260\tloss: 0.49002\tlr:[3.059937e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:36,500 [    hooks.py:  207]:\tstep: 28580\tsteps/sec: 1.27317\tloss: 0.43987\tlr:[3.059258e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:47,096 [    hooks.py:  207]:\tstep: 28590\tsteps/sec: 0.99396\tloss: 0.82048\tlr:[3.058579e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:00:53,790 [    hooks.py:  207]:\tstep: 28600\tsteps/sec: 1.46070\tloss: 0.45122\tlr:[3.0578998e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:04,272 [    hooks.py:  207]:\tstep: 28610\tsteps/sec: 0.93687\tloss: 0.37701\tlr:[3.0572206e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:13,303 [    hooks.py:  207]:\tstep: 28620\tsteps/sec: 1.15831\tloss: 0.66431\tlr:[3.0565418e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:20,580 [    hooks.py:  207]:\tstep: 28630\tsteps/sec: 1.32165\tloss: 0.38259\tlr:[3.0558625e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:29,028 [    hooks.py:  207]:\tstep: 28640\tsteps/sec: 1.18589\tloss: 0.38677\tlr:[3.0551833e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:35,785 [    hooks.py:  207]:\tstep: 28650\tsteps/sec: 1.46804\tloss: 0.42461\tlr:[3.0545045e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:44,498 [    hooks.py:  207]:\tstep: 28660\tsteps/sec: 1.09493\tloss: 0.27330\tlr:[3.0538253e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:01:52,658 [    hooks.py:  207]:\tstep: 28670\tsteps/sec: 1.35706\tloss: 0.29623\tlr:[3.053146e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:00,861 [    hooks.py:  207]:\tstep: 28680\tsteps/sec: 1.18713\tloss: 0.58238\tlr:[3.0524672e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:08,316 [    hooks.py:  207]:\tstep: 28690\tsteps/sec: 1.34729\tloss: 0.79392\tlr:[3.051788e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:15,275 [    hooks.py:  207]:\tstep: 28700\tsteps/sec: 1.33534\tloss: 0.35648\tlr:[3.0511092e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:24,921 [    hooks.py:  207]:\tstep: 28710\tsteps/sec: 1.06791\tloss: 0.57378\tlr:[3.0504301e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:34,602 [    hooks.py:  207]:\tstep: 28720\tsteps/sec: 1.03692\tloss: 0.38309\tlr:[3.049751e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:43,096 [    hooks.py:  207]:\tstep: 28730\tsteps/sec: 1.22146\tloss: 0.62055\tlr:[3.0490723e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:02:51,135 [    hooks.py:  207]:\tstep: 28740\tsteps/sec: 1.16332\tloss: 0.59320\tlr:[3.048393e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:00,028 [    hooks.py:  207]:\tstep: 28750\tsteps/sec: 1.12124\tloss: 0.45942\tlr:[3.0477138e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:09,390 [    hooks.py:  207]:\tstep: 28760\tsteps/sec: 1.10362\tloss: 0.53877\tlr:[3.0470346e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:18,254 [    hooks.py:  207]:\tstep: 28770\tsteps/sec: 1.16334\tloss: 0.83995\tlr:[3.0463558e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:26,336 [    hooks.py:  207]:\tstep: 28780\tsteps/sec: 1.19958\tloss: 0.66464\tlr:[3.0456771e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:34,064 [    hooks.py:  207]:\tstep: 28790\tsteps/sec: 1.23506\tloss: 0.66509\tlr:[3.0449979e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:43,507 [    hooks.py:  207]:\tstep: 28800\tsteps/sec: 1.12388\tloss: 0.30757\tlr:[3.0443185e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:51,641 [    hooks.py:  207]:\tstep: 28810\tsteps/sec: 1.21691\tloss: 0.35835\tlr:[3.0436397e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:03:59,007 [    hooks.py:  207]:\tstep: 28820\tsteps/sec: 1.38322\tloss: 0.61575\tlr:[3.0429605e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:04:08,749 [    hooks.py:  207]:\tstep: 28830\tsteps/sec: 1.01864\tloss: 0.41572\tlr:[3.0422814e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:04:15,563 [    hooks.py:  207]:\tstep: 28840\tsteps/sec: 1.44747\tloss: 0.29537\tlr:[3.0416026e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:04:25,312 [    hooks.py:  207]:\tstep: 28850\tsteps/sec: 1.01531\tloss: 0.31983\tlr:[3.0409234e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:04:33,997 [    hooks.py:  207]:\tstep: 28860\tsteps/sec: 1.11790\tloss: 0.95822\tlr:[3.0402445e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:04:44,494 [    hooks.py:  207]:\tstep: 28870\tsteps/sec: 0.98310\tloss: 0.41256\tlr:[3.0395653e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:04:52,594 [    hooks.py:  207]:\tstep: 28880\tsteps/sec: 1.27237\tloss: 0.62750\tlr:[3.0388865e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:05,032 [    hooks.py:  207]:\tstep: 28890\tsteps/sec: 0.78856\tloss: 0.42562\tlr:[3.0382074e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:12,596 [    hooks.py:  207]:\tstep: 28900\tsteps/sec: 1.36989\tloss: 0.85804\tlr:[3.0375284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:23,804 [    hooks.py:  207]:\tstep: 28910\tsteps/sec: 0.88686\tloss: 0.41796\tlr:[3.0368492e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:32,468 [    hooks.py:  207]:\tstep: 28920\tsteps/sec: 1.16115\tloss: 0.52523\tlr:[3.0361702e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:40,569 [    hooks.py:  207]:\tstep: 28930\tsteps/sec: 1.20797\tloss: 0.61914\tlr:[3.0354913e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:49,791 [    hooks.py:  207]:\tstep: 28940\tsteps/sec: 1.02477\tloss: 0.64205\tlr:[3.0348121e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:05:58,522 [    hooks.py:  207]:\tstep: 28950\tsteps/sec: 1.24054\tloss: 0.69646\tlr:[3.0341329e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:05,362 [    hooks.py:  207]:\tstep: 28960\tsteps/sec: 1.41908\tloss: 0.60196\tlr:[3.033454e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:13,799 [    hooks.py:  207]:\tstep: 28970\tsteps/sec: 1.13800\tloss: 0.59917\tlr:[3.0327748e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:23,755 [    hooks.py:  207]:\tstep: 28980\tsteps/sec: 1.06241\tloss: 0.53246\tlr:[3.0320954e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:32,431 [    hooks.py:  207]:\tstep: 28990\tsteps/sec: 1.15692\tloss: 0.72068\tlr:[3.0314164e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:42,411 [    hooks.py:  207]:\tstep: 29000\tsteps/sec: 0.99705\tloss: 0.62705\tlr:[3.030738e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:42,412 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:42,412 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:42,412 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:06:42,412 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:42,412 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83b3f358>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:06:42,412 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c960f60>\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 03:14:45,144 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,145 [  trainer.py:   58]:\t{'acc': 0.7767068273092369, 'loss': 0.5575891977701432}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,146 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,146 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:14:45,147 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:14:45,147 [  trainer.py:   70]:\tacc\t0.7767068273092369\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:14:45,147 [  trainer.py:   70]:\tloss\t0.5575891977701432\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:14:45,147 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,147 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7767068273092369, 'loss': 0.5575891977701432}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,147 [ exporter.py:   64]:\t[Best Exporter]: skip step 29000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,147 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7767068273092369, 'loss': 0.5575891977701432}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,148 [ exporter.py:  104]:\t[Best Exporter]: skip step 29000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:45,148 [monitored_executor.py:  122]:\tsaving step 29000 to ./output/model_29000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:48,326 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_26000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:14:55,640 [    hooks.py:  207]:\tstep: 29010\tsteps/sec: 0.02026\tloss: 0.46941\tlr:[3.0300584e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:05,511 [    hooks.py:  207]:\tstep: 29020\tsteps/sec: 1.04389\tloss: 0.34429\tlr:[3.0293791e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:12,699 [    hooks.py:  207]:\tstep: 29030\tsteps/sec: 1.43964\tloss: 0.71162\tlr:[3.0287003e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:19,771 [    hooks.py:  207]:\tstep: 29040\tsteps/sec: 1.34879\tloss: 0.70954\tlr:[3.0280215e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:31,117 [    hooks.py:  207]:\tstep: 29050\tsteps/sec: 0.89379\tloss: 0.90326\tlr:[3.0273424e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:38,539 [    hooks.py:  207]:\tstep: 29060\tsteps/sec: 1.36450\tloss: 0.17694\tlr:[3.026663e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:45,657 [    hooks.py:  207]:\tstep: 29070\tsteps/sec: 1.36655\tloss: 0.60702\tlr:[3.025984e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:15:54,711 [    hooks.py:  207]:\tstep: 29080\tsteps/sec: 1.10127\tloss: 0.30545\tlr:[3.0253052e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:16:03,733 [    hooks.py:  207]:\tstep: 29090\tsteps/sec: 1.20171\tloss: 0.76505\tlr:[3.024626e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:16:11,375 [    hooks.py:  207]:\tstep: 29100\tsteps/sec: 1.20801\tloss: 0.66106\tlr:[3.0239467e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:16:20,908 [    hooks.py:  207]:\tstep: 29110\tsteps/sec: 1.05823\tloss: 0.66898\tlr:[3.0232679e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:16:28,934 [    hooks.py:  207]:\tstep: 29120\tsteps/sec: 1.26402\tloss: 0.51710\tlr:[3.0225887e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:16:54,196 [    hooks.py:  207]:\tstep: 29150\tsteps/sec: 1.02264\tloss: 0.97010\tlr:[3.0205518e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:17:03,626 [    hooks.py:  207]:\tstep: 29160\tsteps/sec: 1.08502\tloss: 0.47033\tlr:[3.0198726e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:17:13,567 [    hooks.py:  207]:\tstep: 29170\tsteps/sec: 0.99977\tloss: 0.27516\tlr:[3.0191934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:17:20,765 [    hooks.py:  207]:\tstep: 29180\tsteps/sec: 1.32954\tloss: 0.78798\tlr:[3.0185141e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:17:53,311 [    hooks.py:  207]:\tstep: 29220\tsteps/sec: 1.31491\tloss: 0.58524\tlr:[3.015798e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:18:10,827 [    hooks.py:  207]:\tstep: 29240\tsteps/sec: 1.13043\tloss: 0.84246\tlr:[3.0144402e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:18:18,594 [    hooks.py:  207]:\tstep: 29250\tsteps/sec: 1.29742\tloss: 0.22321\tlr:[3.013761e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:18:33,575 [    hooks.py:  207]:\tstep: 29270\tsteps/sec: 1.39089\tloss: 0.60738\tlr:[3.0124029e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:18:43,424 [    hooks.py:  207]:\tstep: 29280\tsteps/sec: 1.06022\tloss: 0.27530\tlr:[3.0117237e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:18:58,145 [    hooks.py:  207]:\tstep: 29300\tsteps/sec: 1.52743\tloss: 0.56543\tlr:[3.0103658e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:19:08,458 [    hooks.py:  207]:\tstep: 29310\tsteps/sec: 0.96830\tloss: 0.70714\tlr:[3.0096868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:19:15,651 [    hooks.py:  207]:\tstep: 29320\tsteps/sec: 1.33597\tloss: 0.52132\tlr:[3.0090076e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:19:41,682 [    hooks.py:  207]:\tstep: 29350\tsteps/sec: 1.17931\tloss: 0.44765\tlr:[3.0069705e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:19:59,148 [    hooks.py:  207]:\tstep: 29370\tsteps/sec: 1.08993\tloss: 0.39890\tlr:[3.0056124e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:09,686 [    hooks.py:  207]:\tstep: 29380\tsteps/sec: 0.95425\tloss: 0.75460\tlr:[3.0049336e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:18,396 [    hooks.py:  207]:\tstep: 29390\tsteps/sec: 1.13846\tloss: 0.49670\tlr:[3.0042544e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:26,448 [    hooks.py:  207]:\tstep: 29400\tsteps/sec: 1.27567\tloss: 0.36354\tlr:[3.0035755e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:34,402 [    hooks.py:  207]:\tstep: 29410\tsteps/sec: 1.24695\tloss: 0.45385\tlr:[3.0028965e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:41,777 [    hooks.py:  207]:\tstep: 29420\tsteps/sec: 1.35111\tloss: 0.63301\tlr:[3.002217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:52,046 [    hooks.py:  207]:\tstep: 29430\tsteps/sec: 0.98974\tloss: 0.70752\tlr:[3.0015379e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:20:58,962 [    hooks.py:  207]:\tstep: 29440\tsteps/sec: 1.47321\tloss: 0.31827\tlr:[3.0008592e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:08,640 [    hooks.py:  207]:\tstep: 29450\tsteps/sec: 1.01556\tloss: 0.48980\tlr:[3.0001804e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:18,041 [    hooks.py:  207]:\tstep: 29460\tsteps/sec: 1.06542\tloss: 0.76520\tlr:[2.9995008e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:26,322 [    hooks.py:  207]:\tstep: 29470\tsteps/sec: 1.18715\tloss: 1.11983\tlr:[2.998822e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:34,953 [    hooks.py:  207]:\tstep: 29480\tsteps/sec: 1.10696\tloss: 0.42905\tlr:[2.9981431e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:42,921 [    hooks.py:  207]:\tstep: 29490\tsteps/sec: 1.35289\tloss: 0.69315\tlr:[2.9974643e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:52,165 [    hooks.py:  207]:\tstep: 29500\tsteps/sec: 1.07535\tloss: 0.62912\tlr:[2.996785e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:21:59,437 [    hooks.py:  207]:\tstep: 29510\tsteps/sec: 1.38869\tloss: 0.75438\tlr:[2.9961055e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:22:07,255 [    hooks.py:  207]:\tstep: 29520\tsteps/sec: 1.20798\tloss: 0.45804\tlr:[2.9954268e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 03:22:15,263 [    hooks.py:  207]:\tstep: 29530\tsteps/sec: 1.23369\tloss: 0.25487\tlr:[2.994748e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:23:09,219 [    hooks.py:  207]:\tstep: 29590\tsteps/sec: 1.15078\tloss: 0.67245\tlr:[2.990673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:23:17,693 [    hooks.py:  207]:\tstep: 29600\tsteps/sec: 1.26476\tloss: 0.44831\tlr:[2.9899946e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:23:33,739 [    hooks.py:  207]:\tstep: 29620\tsteps/sec: 1.27011\tloss: 0.56422\tlr:[2.9886358e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:23:42,680 [    hooks.py:  207]:\tstep: 29630\tsteps/sec: 1.11334\tloss: 0.11468\tlr:[2.9879573e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:23:50,773 [    hooks.py:  207]:\tstep: 29640\tsteps/sec: 1.20634\tloss: 0.19684\tlr:[2.9872783e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:23:58,932 [    hooks.py:  207]:\tstep: 29650\tsteps/sec: 1.28227\tloss: 0.80976\tlr:[2.986599e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:09,738 [    hooks.py:  207]:\tstep: 29660\tsteps/sec: 0.90333\tloss: 0.49030\tlr:[2.9859197e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:18,314 [    hooks.py:  207]:\tstep: 29670\tsteps/sec: 1.20570\tloss: 0.51438\tlr:[2.9852408e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:26,859 [    hooks.py:  207]:\tstep: 29680\tsteps/sec: 1.13775\tloss: 0.68352\tlr:[2.9845622e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:36,810 [    hooks.py:  207]:\tstep: 29690\tsteps/sec: 1.00707\tloss: 0.47385\tlr:[2.9838824e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:43,597 [    hooks.py:  207]:\tstep: 29700\tsteps/sec: 1.52113\tloss: 0.14816\tlr:[2.9832034e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:50,961 [    hooks.py:  207]:\tstep: 29710\tsteps/sec: 1.32099\tloss: 0.40848\tlr:[2.9825249e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:24:59,654 [    hooks.py:  207]:\tstep: 29720\tsteps/sec: 1.16488\tloss: 0.45888\tlr:[2.9818453e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:25:06,835 [    hooks.py:  207]:\tstep: 29730\tsteps/sec: 1.35395\tloss: 0.76980\tlr:[2.9811665e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:25:15,098 [    hooks.py:  207]:\tstep: 29740\tsteps/sec: 1.20289\tloss: 0.82521\tlr:[2.9804873e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:25:22,874 [    hooks.py:  207]:\tstep: 29750\tsteps/sec: 1.26681\tloss: 0.46244\tlr:[2.9798084e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:25:31,972 [    hooks.py:  207]:\tstep: 29760\tsteps/sec: 1.13064\tloss: 0.52531\tlr:[2.9791292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:25:41,670 [    hooks.py:  207]:\tstep: 29770\tsteps/sec: 1.02719\tloss: 0.59098\tlr:[2.97845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:25:51,092 [    hooks.py:  207]:\tstep: 29780\tsteps/sec: 1.02849\tloss: 0.36957\tlr:[2.9777711e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:01,777 [    hooks.py:  207]:\tstep: 29790\tsteps/sec: 0.98846\tloss: 0.33001\tlr:[2.9770925e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:10,123 [    hooks.py:  207]:\tstep: 29800\tsteps/sec: 1.15906\tloss: 0.64833\tlr:[2.9764129e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:16,229 [    hooks.py:  207]:\tstep: 29810\tsteps/sec: 1.53107\tloss: 0.38326\tlr:[2.9757339e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:25,784 [    hooks.py:  207]:\tstep: 29820\tsteps/sec: 1.09141\tloss: 0.36220\tlr:[2.9750552e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:34,793 [    hooks.py:  207]:\tstep: 29830\tsteps/sec: 1.10665\tloss: 0.34815\tlr:[2.9743764e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:42,763 [    hooks.py:  207]:\tstep: 29840\tsteps/sec: 1.23226\tloss: 0.67820\tlr:[2.9736968e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:26:52,270 [    hooks.py:  207]:\tstep: 29850\tsteps/sec: 1.05054\tloss: 0.38862\tlr:[2.973018e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:02,191 [    hooks.py:  207]:\tstep: 29860\tsteps/sec: 1.10332\tloss: 0.87696\tlr:[2.9723391e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:10,575 [    hooks.py:  207]:\tstep: 29870\tsteps/sec: 1.09955\tloss: 1.08198\tlr:[2.9716599e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:19,092 [    hooks.py:  207]:\tstep: 29880\tsteps/sec: 1.19964\tloss: 0.51646\tlr:[2.9709807e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:28,435 [    hooks.py:  207]:\tstep: 29890\tsteps/sec: 1.07823\tloss: 0.58662\tlr:[2.9703016e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:36,168 [    hooks.py:  207]:\tstep: 29900\tsteps/sec: 1.26984\tloss: 0.32558\tlr:[2.9696228e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:44,594 [    hooks.py:  207]:\tstep: 29910\tsteps/sec: 1.19188\tloss: 0.48806\tlr:[2.9689434e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:27:53,964 [    hooks.py:  207]:\tstep: 29920\tsteps/sec: 1.07551\tloss: 1.01627\tlr:[2.9682642e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:00,957 [    hooks.py:  207]:\tstep: 29930\tsteps/sec: 1.41014\tloss: 0.85969\tlr:[2.9675855e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:09,151 [    hooks.py:  207]:\tstep: 29940\tsteps/sec: 1.23536\tloss: 0.51604\tlr:[2.9669067e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:19,570 [    hooks.py:  207]:\tstep: 29950\tsteps/sec: 0.91100\tloss: 0.44143\tlr:[2.9662275e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:29,690 [    hooks.py:  207]:\tstep: 29960\tsteps/sec: 0.97787\tloss: 0.61537\tlr:[2.9655483e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:39,721 [    hooks.py:  207]:\tstep: 29970\tsteps/sec: 1.05399\tloss: 0.46816\tlr:[2.9648694e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:47,183 [    hooks.py:  207]:\tstep: 29980\tsteps/sec: 1.27621\tloss: 0.78641\tlr:[2.9641904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:28:56,903 [    hooks.py:  207]:\tstep: 29990\tsteps/sec: 1.05988\tloss: 0.29378\tlr:[2.963511e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:29:05,779 [    hooks.py:  207]:\tstep: 30000\tsteps/sec: 1.12737\tloss: 0.61388\tlr:[2.9628318e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:29:05,781 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:29:05,781 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:29:05,781 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:29:05,781 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:29:05,781 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83b1ffd0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:29:05,781 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c6a2400>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:37:07,347 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,349 [  trainer.py:   58]:\t{'acc': 0.7779116465863454, 'loss': 0.5618297452918994}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,349 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,350 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:37:07,350 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:37:07,350 [  trainer.py:   70]:\tacc\t0.7779116465863454\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:37:07,350 [  trainer.py:   70]:\tloss\t0.5618297452918994\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:37:07,351 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,351 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.5618297452918994}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,351 [ exporter.py:   64]:\t[Best Exporter]: skip step 30000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,351 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.5618297452918994}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,351 [ exporter.py:  104]:\t[Best Exporter]: skip step 30000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:07,352 [monitored_executor.py:  122]:\tsaving step 30000 to ./output/model_30000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 03:37:10,516 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_27000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:21,179 [    hooks.py:  207]:\tstep: 30010\tsteps/sec: 0.02019\tloss: 0.66746\tlr:[2.9621531e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:29,470 [    hooks.py:  207]:\tstep: 30020\tsteps/sec: 1.22756\tloss: 0.06228\tlr:[2.961474e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:36,749 [    hooks.py:  207]:\tstep: 30030\tsteps/sec: 1.35505\tloss: 0.59172\tlr:[2.9607949e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:44,691 [    hooks.py:  207]:\tstep: 30040\tsteps/sec: 1.19151\tloss: 0.31618\tlr:[2.9601159e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:37:55,272 [    hooks.py:  207]:\tstep: 30050\tsteps/sec: 0.97846\tloss: 0.76368\tlr:[2.959437e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:02,871 [    hooks.py:  207]:\tstep: 30060\tsteps/sec: 1.41874\tloss: 0.21906\tlr:[2.9587578e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:11,464 [    hooks.py:  207]:\tstep: 30070\tsteps/sec: 1.10612\tloss: 0.52597\tlr:[2.9580782e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:20,285 [    hooks.py:  207]:\tstep: 30080\tsteps/sec: 1.07578\tloss: 0.25151\tlr:[2.9573997e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:28,380 [    hooks.py:  207]:\tstep: 30090\tsteps/sec: 1.31798\tloss: 0.73780\tlr:[2.9567205e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:37,937 [    hooks.py:  207]:\tstep: 30100\tsteps/sec: 1.04670\tloss: 0.39103\tlr:[2.9560417e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:46,547 [    hooks.py:  207]:\tstep: 30110\tsteps/sec: 1.10429\tloss: 0.89876\tlr:[2.9553625e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:38:56,707 [    hooks.py:  207]:\tstep: 30120\tsteps/sec: 1.01749\tloss: 0.54993\tlr:[2.9546833e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:05,139 [    hooks.py:  207]:\tstep: 30130\tsteps/sec: 1.18106\tloss: 0.15941\tlr:[2.9540044e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:14,276 [    hooks.py:  207]:\tstep: 30140\tsteps/sec: 1.07309\tloss: 1.25947\tlr:[2.9533248e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:22,205 [    hooks.py:  207]:\tstep: 30150\tsteps/sec: 1.29937\tloss: 0.59859\tlr:[2.9526462e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:30,134 [    hooks.py:  207]:\tstep: 30160\tsteps/sec: 1.26677\tloss: 0.43015\tlr:[2.9519673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:41,365 [    hooks.py:  207]:\tstep: 30170\tsteps/sec: 0.89433\tloss: 0.38035\tlr:[2.951288e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:47,897 [    hooks.py:  207]:\tstep: 30180\tsteps/sec: 1.47077\tloss: 0.45548\tlr:[2.9506087e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:39:56,621 [    hooks.py:  207]:\tstep: 30190\tsteps/sec: 1.17042\tloss: 0.16103\tlr:[2.9499297e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:06,606 [    hooks.py:  207]:\tstep: 30200\tsteps/sec: 0.99953\tloss: 0.41063\tlr:[2.9492508e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:13,688 [    hooks.py:  207]:\tstep: 30210\tsteps/sec: 1.37675\tloss: 0.33061\tlr:[2.9485716e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:22,709 [    hooks.py:  207]:\tstep: 30220\tsteps/sec: 1.09791\tloss: 0.39494\tlr:[2.9478924e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:32,394 [    hooks.py:  207]:\tstep: 30230\tsteps/sec: 1.05617\tloss: 0.36857\tlr:[2.9472136e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:39,358 [    hooks.py:  207]:\tstep: 30240\tsteps/sec: 1.48648\tloss: 0.70731\tlr:[2.9465347e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:48,671 [    hooks.py:  207]:\tstep: 30250\tsteps/sec: 1.07701\tloss: 0.28083\tlr:[2.9458555e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:40:56,423 [    hooks.py:  207]:\tstep: 30260\tsteps/sec: 1.25734\tloss: 0.58015\tlr:[2.9451763e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:05,330 [    hooks.py:  207]:\tstep: 30270\tsteps/sec: 1.11225\tloss: 0.19596\tlr:[2.9444975e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:13,754 [    hooks.py:  207]:\tstep: 30280\tsteps/sec: 1.18121\tloss: 0.52030\tlr:[2.9438183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:23,940 [    hooks.py:  207]:\tstep: 30290\tsteps/sec: 1.02087\tloss: 0.24231\tlr:[2.9431392e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:31,314 [    hooks.py:  207]:\tstep: 30300\tsteps/sec: 1.31456\tloss: 0.56719\tlr:[2.9424604e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:39,729 [    hooks.py:  207]:\tstep: 30310\tsteps/sec: 1.20230\tloss: 0.77532\tlr:[2.9417812e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:47,978 [    hooks.py:  207]:\tstep: 30320\tsteps/sec: 1.21247\tloss: 0.32128\tlr:[2.9411023e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:41:56,543 [    hooks.py:  207]:\tstep: 30330\tsteps/sec: 1.15162\tloss: 0.25663\tlr:[2.9404226e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:04,852 [    hooks.py:  207]:\tstep: 30340\tsteps/sec: 1.21052\tloss: 0.73756\tlr:[2.9397439e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:14,021 [    hooks.py:  207]:\tstep: 30350\tsteps/sec: 1.11174\tloss: 0.54776\tlr:[2.939065e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:21,146 [    hooks.py:  207]:\tstep: 30360\tsteps/sec: 1.34775\tloss: 0.24967\tlr:[2.9383858e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:30,115 [    hooks.py:  207]:\tstep: 30370\tsteps/sec: 1.13824\tloss: 0.85254\tlr:[2.9377066e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:38,559 [    hooks.py:  207]:\tstep: 30380\tsteps/sec: 1.22312\tloss: 0.55018\tlr:[2.9370278e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:46,151 [    hooks.py:  207]:\tstep: 30390\tsteps/sec: 1.25046\tloss: 0.55255\tlr:[2.9363488e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:42:54,991 [    hooks.py:  207]:\tstep: 30400\tsteps/sec: 1.12566\tloss: 0.43302\tlr:[2.9356697e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:43:03,250 [    hooks.py:  207]:\tstep: 30410\tsteps/sec: 1.30463\tloss: 0.18895\tlr:[2.9349905e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:43:11,097 [    hooks.py:  207]:\tstep: 30420\tsteps/sec: 1.19696\tloss: 0.46708\tlr:[2.9343115e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:43:19,650 [    hooks.py:  207]:\tstep: 30430\tsteps/sec: 1.19073\tloss: 0.34730\tlr:[2.9336323e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:43:30,423 [    hooks.py:  207]:\tstep: 30440\tsteps/sec: 0.91199\tloss: 0.19754\tlr:[2.9329532e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:44:57,223 [    hooks.py:  207]:\tstep: 30540\tsteps/sec: 1.21022\tloss: 0.21623\tlr:[2.9261633e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:06,684 [    hooks.py:  207]:\tstep: 30550\tsteps/sec: 1.06617\tloss: 0.21938\tlr:[2.9254841e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:15,710 [    hooks.py:  207]:\tstep: 30560\tsteps/sec: 1.12577\tloss: 0.51809\tlr:[2.9248049e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:26,508 [    hooks.py:  207]:\tstep: 30570\tsteps/sec: 0.94185\tloss: 0.97407\tlr:[2.9241257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:33,858 [    hooks.py:  207]:\tstep: 30580\tsteps/sec: 1.38986\tloss: 0.83249\tlr:[2.9234468e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:42,664 [    hooks.py:  207]:\tstep: 30590\tsteps/sec: 1.10330\tloss: 0.60096\tlr:[2.9227676e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:50,674 [    hooks.py:  207]:\tstep: 30600\tsteps/sec: 1.25956\tloss: 0.39689\tlr:[2.9220884e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:45:59,444 [    hooks.py:  207]:\tstep: 30610\tsteps/sec: 1.17512\tloss: 0.42512\tlr:[2.9214096e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:46:07,940 [    hooks.py:  207]:\tstep: 30620\tsteps/sec: 1.14255\tloss: 0.35304\tlr:[2.9207304e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:46:16,123 [    hooks.py:  207]:\tstep: 30630\tsteps/sec: 1.22736\tloss: 0.53685\tlr:[2.9200515e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:46:25,880 [    hooks.py:  207]:\tstep: 30640\tsteps/sec: 1.01360\tloss: 0.71593\tlr:[2.9193725e-05]\u001b[0m\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 03:46:34,373 [    hooks.py:  207]:\tstep: 30650\tsteps/sec: 1.21328\tloss: 0.44871\tlr:[2.9186936e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:46:40,635 [    hooks.py:  207]:\tstep: 30660\tsteps/sec: 1.55952\tloss: 0.55772\tlr:[2.918014e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:46:55,677 [    hooks.py:  207]:\tstep: 30680\tsteps/sec: 1.16979\tloss: 0.72031\tlr:[2.916656e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 03:47:24,987 [    hooks.py:  207]:\tstep: 30710\tsteps/sec: 1.16452\tloss: 0.72071\tlr:[2.9146191e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:47:34,153 [    hooks.py:  207]:\tstep: 30720\tsteps/sec: 1.10663\tloss: 0.48793\tlr:[2.9139403e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:47:42,461 [    hooks.py:  207]:\tstep: 30730\tsteps/sec: 1.17189\tloss: 0.17913\tlr:[2.9132607e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:47:51,695 [    hooks.py:  207]:\tstep: 30740\tsteps/sec: 1.09805\tloss: 0.70297\tlr:[2.9125818e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:00,285 [    hooks.py:  207]:\tstep: 30750\tsteps/sec: 1.16904\tloss: 0.71419\tlr:[2.9119026e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:09,510 [    hooks.py:  207]:\tstep: 30760\tsteps/sec: 1.09925\tloss: 0.30022\tlr:[2.9112238e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:15,888 [    hooks.py:  207]:\tstep: 30770\tsteps/sec: 1.43641\tloss: 0.26502\tlr:[2.9105446e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:25,447 [    hooks.py:  207]:\tstep: 30780\tsteps/sec: 1.03392\tloss: 0.53999\tlr:[2.9098655e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:34,532 [    hooks.py:  207]:\tstep: 30790\tsteps/sec: 1.17619\tloss: 0.81701\tlr:[2.9091863e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:41,639 [    hooks.py:  207]:\tstep: 30800\tsteps/sec: 1.39154\tloss: 0.52859\tlr:[2.9085073e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:49,699 [    hooks.py:  207]:\tstep: 30810\tsteps/sec: 1.25603\tloss: 0.55311\tlr:[2.9078283e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:48:56,767 [    hooks.py:  207]:\tstep: 30820\tsteps/sec: 1.40014\tloss: 0.38351\tlr:[2.907149e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:49:05,219 [    hooks.py:  207]:\tstep: 30830\tsteps/sec: 1.15970\tloss: 0.52328\tlr:[2.9064702e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:49:13,848 [    hooks.py:  207]:\tstep: 30840\tsteps/sec: 1.15275\tloss: 0.78546\tlr:[2.9057914e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:49:23,622 [    hooks.py:  207]:\tstep: 30850\tsteps/sec: 1.06001\tloss: 0.54213\tlr:[2.9051122e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:49:33,145 [    hooks.py:  207]:\tstep: 30860\tsteps/sec: 1.04127\tloss: 0.63627\tlr:[2.904433e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:49:40,654 [    hooks.py:  207]:\tstep: 30870\tsteps/sec: 1.24795\tloss: 0.37825\tlr:[2.9037541e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:49:51,917 [    hooks.py:  207]:\tstep: 30880\tsteps/sec: 0.92066\tloss: 0.45503\tlr:[2.9030749e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:02,085 [    hooks.py:  207]:\tstep: 30890\tsteps/sec: 1.02368\tloss: 0.29478\tlr:[2.9023957e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:11,474 [    hooks.py:  207]:\tstep: 30900\tsteps/sec: 1.02682\tloss: 0.35255\tlr:[2.9017168e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:18,350 [    hooks.py:  207]:\tstep: 30910\tsteps/sec: 1.47768\tloss: 0.58097\tlr:[2.9010378e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:26,200 [    hooks.py:  207]:\tstep: 30920\tsteps/sec: 1.23178\tloss: 0.29286\tlr:[2.9003586e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:34,087 [    hooks.py:  207]:\tstep: 30930\tsteps/sec: 1.31739\tloss: 0.39332\tlr:[2.8996794e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:41,786 [    hooks.py:  207]:\tstep: 30940\tsteps/sec: 1.27520\tloss: 0.46493\tlr:[2.8990005e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:49,780 [    hooks.py:  207]:\tstep: 30950\tsteps/sec: 1.27835\tloss: 0.19431\tlr:[2.8983217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:50:56,773 [    hooks.py:  207]:\tstep: 30960\tsteps/sec: 1.33292\tloss: 0.40729\tlr:[2.8976428e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:06,256 [    hooks.py:  207]:\tstep: 30970\tsteps/sec: 1.05731\tloss: 0.34673\tlr:[2.8969636e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:15,222 [    hooks.py:  207]:\tstep: 30980\tsteps/sec: 1.16479\tloss: 0.29308\tlr:[2.8962844e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:23,294 [    hooks.py:  207]:\tstep: 30990\tsteps/sec: 1.24573\tloss: 0.22439\tlr:[2.8956056e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:30,162 [    hooks.py:  207]:\tstep: 31000\tsteps/sec: 1.44008\tloss: 0.51030\tlr:[2.8949264e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:30,163 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:30,163 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:30,163 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:51:30,164 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:30,164 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c6a9be0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:51:30,164 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c6a9c50>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:59:32,383 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,385 [  trainer.py:   58]:\t{'acc': 0.7779116465863454, 'loss': 0.5712448086780615}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,385 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,386 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:59:32,386 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:59:32,386 [  trainer.py:   70]:\tacc\t0.7779116465863454\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:59:32,386 [  trainer.py:   70]:\tloss\t0.5712448086780615\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 03:59:32,386 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,387 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.5712448086780615}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,387 [ exporter.py:   64]:\t[Best Exporter]: skip step 31000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,387 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.5712448086780615}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,387 [ exporter.py:  104]:\t[Best Exporter]: skip step 31000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:32,388 [monitored_executor.py:  122]:\tsaving step 31000 to ./output/model_31000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:35,855 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_28000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:43,646 [    hooks.py:  207]:\tstep: 31010\tsteps/sec: 0.02027\tloss: 0.38724\tlr:[2.8942473e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:50,715 [    hooks.py:  207]:\tstep: 31020\tsteps/sec: 1.36655\tloss: 0.58914\tlr:[2.8935685e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 03:59:58,752 [    hooks.py:  207]:\tstep: 31030\tsteps/sec: 1.26524\tloss: 0.30504\tlr:[2.8928893e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:07,122 [    hooks.py:  207]:\tstep: 31040\tsteps/sec: 1.18189\tloss: 0.74855\tlr:[2.89221e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:14,033 [    hooks.py:  207]:\tstep: 31050\tsteps/sec: 1.49058\tloss: 0.40797\tlr:[2.8915312e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:21,056 [    hooks.py:  207]:\tstep: 31060\tsteps/sec: 1.31378\tloss: 0.40123\tlr:[2.8908524e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:31,179 [    hooks.py:  207]:\tstep: 31070\tsteps/sec: 0.99373\tloss: 0.49709\tlr:[2.8901728e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:40,096 [    hooks.py:  207]:\tstep: 31080\tsteps/sec: 1.19135\tloss: 0.73998\tlr:[2.889494e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:49,533 [    hooks.py:  207]:\tstep: 31090\tsteps/sec: 1.05461\tloss: 0.33481\tlr:[2.8888151e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:00:56,311 [    hooks.py:  207]:\tstep: 31100\tsteps/sec: 1.37022\tloss: 0.59458\tlr:[2.888136e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 04:01:04,916 [    hooks.py:  207]:\tstep: 31110\tsteps/sec: 1.16974\tloss: 0.52829\tlr:[2.8874567e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:01:14,752 [    hooks.py:  207]:\tstep: 31120\tsteps/sec: 1.07215\tloss: 0.24035\tlr:[2.8867775e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:01:47,339 [    hooks.py:  207]:\tstep: 31160\tsteps/sec: 1.43599\tloss: 0.77338\tlr:[2.8840615e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:01:54,452 [    hooks.py:  207]:\tstep: 31170\tsteps/sec: 1.35632\tloss: 0.29251\tlr:[2.8833827e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:02:02,986 [    hooks.py:  207]:\tstep: 31180\tsteps/sec: 1.26056\tloss: 0.48954\tlr:[2.8827035e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:02:10,988 [    hooks.py:  207]:\tstep: 31190\tsteps/sec: 1.19098\tloss: 0.69256\tlr:[2.8820243e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:02:37,069 [    hooks.py:  207]:\tstep: 31220\tsteps/sec: 1.13007\tloss: 0.63022\tlr:[2.879987e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:02:46,663 [    hooks.py:  207]:\tstep: 31230\tsteps/sec: 1.04051\tloss: 0.52916\tlr:[2.8793082e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:02:53,694 [    hooks.py:  207]:\tstep: 31240\tsteps/sec: 1.45525\tloss: 0.51342\tlr:[2.8786291e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:03:01,797 [    hooks.py:  207]:\tstep: 31250\tsteps/sec: 1.21134\tloss: 0.50171\tlr:[2.87795e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:03:44,370 [    hooks.py:  207]:\tstep: 31300\tsteps/sec: 0.99846\tloss: 0.47859\tlr:[2.874555e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:03:55,355 [    hooks.py:  207]:\tstep: 31310\tsteps/sec: 0.88856\tloss: 0.81283\tlr:[2.8738757e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:04,509 [    hooks.py:  207]:\tstep: 31320\tsteps/sec: 1.11776\tloss: 0.60130\tlr:[2.8731969e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:12,117 [    hooks.py:  207]:\tstep: 31330\tsteps/sec: 1.36151\tloss: 0.70592\tlr:[2.8725173e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:20,221 [    hooks.py:  207]:\tstep: 31340\tsteps/sec: 1.24594\tloss: 0.65817\tlr:[2.8718381e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:29,476 [    hooks.py:  207]:\tstep: 31350\tsteps/sec: 1.08609\tloss: 0.45828\tlr:[2.8711593e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:36,218 [    hooks.py:  207]:\tstep: 31360\tsteps/sec: 1.36937\tloss: 0.32549\tlr:[2.8704804e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:45,090 [    hooks.py:  207]:\tstep: 31370\tsteps/sec: 1.19998\tloss: 0.56036\tlr:[2.8698012e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:04:52,013 [    hooks.py:  207]:\tstep: 31380\tsteps/sec: 1.41302\tloss: 0.45545\tlr:[2.8691222e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:02,396 [    hooks.py:  207]:\tstep: 31390\tsteps/sec: 1.00048\tloss: 0.56306\tlr:[2.8684433e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:09,735 [    hooks.py:  207]:\tstep: 31400\tsteps/sec: 1.31833\tloss: 0.62098\tlr:[2.8677641e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:18,578 [    hooks.py:  207]:\tstep: 31410\tsteps/sec: 1.12845\tloss: 0.49259\tlr:[2.867085e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:27,818 [    hooks.py:  207]:\tstep: 31420\tsteps/sec: 1.05187\tloss: 0.80420\tlr:[2.8664057e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:34,882 [    hooks.py:  207]:\tstep: 31430\tsteps/sec: 1.47209\tloss: 0.59985\tlr:[2.8657269e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:43,070 [    hooks.py:  207]:\tstep: 31440\tsteps/sec: 1.19794\tloss: 0.71565\tlr:[2.865048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:49,804 [    hooks.py:  207]:\tstep: 31450\tsteps/sec: 1.50654\tloss: 0.46872\tlr:[2.8643688e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:05:57,960 [    hooks.py:  207]:\tstep: 31460\tsteps/sec: 1.20191\tloss: 0.54606\tlr:[2.8636896e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:08,741 [    hooks.py:  207]:\tstep: 31470\tsteps/sec: 0.94737\tloss: 0.25131\tlr:[2.8630107e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:15,972 [    hooks.py:  207]:\tstep: 31480\tsteps/sec: 1.26202\tloss: 0.57821\tlr:[2.8623315e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:23,595 [    hooks.py:  207]:\tstep: 31490\tsteps/sec: 1.35913\tloss: 0.74675\tlr:[2.8616523e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:33,493 [    hooks.py:  207]:\tstep: 31500\tsteps/sec: 1.04921\tloss: 0.40899\tlr:[2.8609735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:43,126 [    hooks.py:  207]:\tstep: 31510\tsteps/sec: 1.03479\tloss: 0.33866\tlr:[2.8602944e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:51,243 [    hooks.py:  207]:\tstep: 31520\tsteps/sec: 1.20646\tloss: 0.32635\tlr:[2.8596152e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:06:59,588 [    hooks.py:  207]:\tstep: 31530\tsteps/sec: 1.26178\tloss: 0.54578\tlr:[2.8589362e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:07:06,944 [    hooks.py:  207]:\tstep: 31540\tsteps/sec: 1.30740\tloss: 0.26077\tlr:[2.8582572e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:07:17,137 [    hooks.py:  207]:\tstep: 31550\tsteps/sec: 0.95535\tloss: 0.44724\tlr:[2.8575783e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:07:25,960 [    hooks.py:  207]:\tstep: 31560\tsteps/sec: 1.16426\tloss: 0.24031\tlr:[2.8568991e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:07:34,009 [    hooks.py:  207]:\tstep: 31570\tsteps/sec: 1.21413\tloss: 0.51061\tlr:[2.8562199e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:07:43,853 [    hooks.py:  207]:\tstep: 31580\tsteps/sec: 1.05667\tloss: 0.46040\tlr:[2.855541e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:07:50,832 [    hooks.py:  207]:\tstep: 31590\tsteps/sec: 1.41094\tloss: 0.29057\tlr:[2.8548622e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:00,959 [    hooks.py:  207]:\tstep: 31600\tsteps/sec: 0.99398\tloss: 0.52025\tlr:[2.854183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:08,476 [    hooks.py:  207]:\tstep: 31610\tsteps/sec: 1.27342\tloss: 0.46335\tlr:[2.8535038e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:17,125 [    hooks.py:  207]:\tstep: 31620\tsteps/sec: 1.19100\tloss: 0.83770\tlr:[2.8528251e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:25,644 [    hooks.py:  207]:\tstep: 31630\tsteps/sec: 1.16190\tloss: 0.52147\tlr:[2.8521457e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:33,787 [    hooks.py:  207]:\tstep: 31640\tsteps/sec: 1.25347\tloss: 0.40023\tlr:[2.8514665e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:42,941 [    hooks.py:  207]:\tstep: 31650\tsteps/sec: 1.06669\tloss: 0.36133\tlr:[2.8507875e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:08:52,540 [    hooks.py:  207]:\tstep: 31660\tsteps/sec: 1.04987\tloss: 0.67894\tlr:[2.8501086e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:02,497 [    hooks.py:  207]:\tstep: 31670\tsteps/sec: 1.04465\tloss: 0.45045\tlr:[2.8494294e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:10,354 [    hooks.py:  207]:\tstep: 31680\tsteps/sec: 1.23020\tloss: 0.33990\tlr:[2.8487502e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:18,567 [    hooks.py:  207]:\tstep: 31690\tsteps/sec: 1.20893\tloss: 0.52302\tlr:[2.8480714e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:27,883 [    hooks.py:  207]:\tstep: 31700\tsteps/sec: 1.06313\tloss: 0.31299\tlr:[2.8473925e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:34,726 [    hooks.py:  207]:\tstep: 31710\tsteps/sec: 1.50389\tloss: 0.33511\tlr:[2.8467133e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:45,299 [    hooks.py:  207]:\tstep: 31720\tsteps/sec: 0.95422\tloss: 0.63916\tlr:[2.8460341e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:09:55,725 [    hooks.py:  207]:\tstep: 31730\tsteps/sec: 0.90464\tloss: 0.25270\tlr:[2.8453553e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:10:07,435 [    hooks.py:  207]:\tstep: 31740\tsteps/sec: 0.88848\tloss: 0.94885\tlr:[2.8446762e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:10:16,085 [    hooks.py:  207]:\tstep: 31750\tsteps/sec: 1.13752\tloss: 0.29164\tlr:[2.8439974e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 04:10:24,582 [    hooks.py:  207]:\tstep: 31760\tsteps/sec: 1.21561\tloss: 0.38547\tlr:[2.843318e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:10:32,099 [    hooks.py:  207]:\tstep: 31770\tsteps/sec: 1.28582\tloss: 0.46822\tlr:[2.842639e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:10:39,362 [    hooks.py:  207]:\tstep: 31780\tsteps/sec: 1.43916\tloss: 0.27509\tlr:[2.8419598e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:10:47,441 [    hooks.py:  207]:\tstep: 31790\tsteps/sec: 1.20974\tloss: 0.15678\tlr:[2.841281e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:10:55,219 [    hooks.py:  207]:\tstep: 31800\tsteps/sec: 1.23133\tloss: 0.61360\tlr:[2.840602e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:11:04,914 [    hooks.py:  207]:\tstep: 31810\tsteps/sec: 1.07030\tloss: 0.48880\tlr:[2.8399232e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:11:12,960 [    hooks.py:  207]:\tstep: 31820\tsteps/sec: 1.17950\tloss: 1.07818\tlr:[2.8392436e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:11:23,404 [    hooks.py:  207]:\tstep: 31830\tsteps/sec: 1.00003\tloss: 0.28631\tlr:[2.8385648e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:11:33,542 [    hooks.py:  207]:\tstep: 31840\tsteps/sec: 0.98232\tloss: 0.41460\tlr:[2.8378858e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:11:42,024 [    hooks.py:  207]:\tstep: 31850\tsteps/sec: 1.12767\tloss: 0.28665\tlr:[2.8372067e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:11:51,723 [    hooks.py:  207]:\tstep: 31860\tsteps/sec: 1.06873\tloss: 0.53299\tlr:[2.8365275e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:00,457 [    hooks.py:  207]:\tstep: 31870\tsteps/sec: 1.18158\tloss: 0.85771\tlr:[2.8358485e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:09,235 [    hooks.py:  207]:\tstep: 31880\tsteps/sec: 1.09017\tloss: 0.59374\tlr:[2.8351693e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:17,395 [    hooks.py:  207]:\tstep: 31890\tsteps/sec: 1.23889\tloss: 0.66056\tlr:[2.8344904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:27,502 [    hooks.py:  207]:\tstep: 31900\tsteps/sec: 0.99650\tloss: 0.49315\tlr:[2.833811e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:37,374 [    hooks.py:  207]:\tstep: 31910\tsteps/sec: 1.00752\tloss: 0.32216\tlr:[2.8331324e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:45,744 [    hooks.py:  207]:\tstep: 31920\tsteps/sec: 1.18876\tloss: 0.44932\tlr:[2.8324532e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:12:57,287 [    hooks.py:  207]:\tstep: 31930\tsteps/sec: 0.84772\tloss: 0.96523\tlr:[2.831774e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:07,037 [    hooks.py:  207]:\tstep: 31940\tsteps/sec: 1.05656\tloss: 0.44661\tlr:[2.8310948e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:16,481 [    hooks.py:  207]:\tstep: 31950\tsteps/sec: 1.02347\tloss: 0.53809\tlr:[2.8304159e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:25,827 [    hooks.py:  207]:\tstep: 31960\tsteps/sec: 1.11137\tloss: 0.46220\tlr:[2.829737e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:33,297 [    hooks.py:  207]:\tstep: 31970\tsteps/sec: 1.34074\tloss: 0.56554\tlr:[2.8290578e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:44,233 [    hooks.py:  207]:\tstep: 31980\tsteps/sec: 0.93555\tloss: 0.44015\tlr:[2.8283786e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:51,557 [    hooks.py:  207]:\tstep: 31990\tsteps/sec: 1.33428\tloss: 0.82801\tlr:[2.8276998e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:59,619 [    hooks.py:  207]:\tstep: 32000\tsteps/sec: 1.28027\tloss: 0.47942\tlr:[2.8270208e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:59,620 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:59,620 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:59,620 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:13:59,620 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:59,620 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf8382dd68>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:13:59,620 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf606e60f0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:22:02,045 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,045 [  trainer.py:   58]:\t{'acc': 0.7746987951807229, 'loss': 0.5631154232586806}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,046 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,046 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:22:02,046 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:22:02,047 [  trainer.py:   70]:\tacc\t0.7746987951807229\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:22:02,047 [  trainer.py:   70]:\tloss\t0.5631154232586806\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:22:02,047 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,047 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7746987951807229, 'loss': 0.5631154232586806}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,048 [ exporter.py:   64]:\t[Best Exporter]: skip step 32000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,048 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7746987951807229, 'loss': 0.5631154232586806}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,048 [ exporter.py:  104]:\t[Best Exporter]: skip step 32000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:02,049 [monitored_executor.py:  122]:\tsaving step 32000 to ./output/model_32000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:05,264 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_29000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:13,353 [    hooks.py:  207]:\tstep: 32010\tsteps/sec: 0.02024\tloss: 0.60851\tlr:[2.8263416e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:20,680 [    hooks.py:  207]:\tstep: 32020\tsteps/sec: 1.31541\tloss: 0.26227\tlr:[2.8256623e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:29,813 [    hooks.py:  207]:\tstep: 32030\tsteps/sec: 1.16299\tloss: 0.55639\tlr:[2.8249835e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:36,901 [    hooks.py:  207]:\tstep: 32040\tsteps/sec: 1.35741\tloss: 0.70651\tlr:[2.8243046e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:22:46,453 [    hooks.py:  207]:\tstep: 32050\tsteps/sec: 1.04184\tloss: 0.23074\tlr:[2.823625e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:34:34,657 [    hooks.py:  207]:\tstep: 32870\tsteps/sec: 1.12546\tloss: 0.51909\tlr:[2.767943e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:36:15,447 [    hooks.py:  207]:\tstep: 32990\tsteps/sec: 1.09244\tloss: 0.55465\tlr:[2.7597942e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:36:22,573 [    hooks.py:  207]:\tstep: 33000\tsteps/sec: 1.29501\tloss: 0.24824\tlr:[2.7591153e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:36:22,577 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:36:22,577 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:36:22,578 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:36:22,578 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:36:22,578 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83956e10>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:36:22,578 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83889a58>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:44:17,691 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,693 [  trainer.py:   58]:\t{'acc': 0.7815261044176707, 'loss': 0.5694027551664755}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,693 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,694 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:44:17,694 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:44:17,694 [  trainer.py:   70]:\tacc\t0.7815261044176707\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:44:17,694 [  trainer.py:   70]:\tloss\t0.5694027551664755\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:44:17,694 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,694 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7815261044176707, 'loss': 0.5694027551664755}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,694 [ exporter.py:   64]:\t[Best Exporter]: skip step 33000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,695 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7815261044176707, 'loss': 0.5694027551664755}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,695 [ exporter.py:  104]:\t[Best Exporter]: skip step 33000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:17,696 [monitored_executor.py:  122]:\tsaving step 33000 to ./output/model_33000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:21,057 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_30000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:30,076 [    hooks.py:  207]:\tstep: 33010\tsteps/sec: 0.02054\tloss: 0.75038\tlr:[2.7584365e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:36,621 [    hooks.py:  207]:\tstep: 33020\tsteps/sec: 1.47274\tloss: 0.63739\tlr:[2.7577573e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:46,064 [    hooks.py:  207]:\tstep: 33030\tsteps/sec: 1.08846\tloss: 0.45066\tlr:[2.757078e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:44:54,912 [    hooks.py:  207]:\tstep: 33040\tsteps/sec: 1.13016\tloss: 0.29145\tlr:[2.7563992e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:02,805 [    hooks.py:  207]:\tstep: 33050\tsteps/sec: 1.29645\tloss: 0.63056\tlr:[2.75572e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:10,393 [    hooks.py:  207]:\tstep: 33060\tsteps/sec: 1.29588\tloss: 0.52998\tlr:[2.755041e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:17,264 [    hooks.py:  207]:\tstep: 33070\tsteps/sec: 1.39304\tloss: 0.69464\tlr:[2.7543618e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:23,513 [    hooks.py:  207]:\tstep: 33080\tsteps/sec: 1.51260\tloss: 0.64860\tlr:[2.753683e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:32,169 [    hooks.py:  207]:\tstep: 33090\tsteps/sec: 1.20110\tloss: 0.20500\tlr:[2.7530035e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:41,515 [    hooks.py:  207]:\tstep: 33100\tsteps/sec: 1.02904\tloss: 0.36309\tlr:[2.7523243e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:45:50,834 [    hooks.py:  207]:\tstep: 33110\tsteps/sec: 1.15253\tloss: 0.52670\tlr:[2.7516457e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:00,508 [    hooks.py:  207]:\tstep: 33120\tsteps/sec: 0.99612\tloss: 0.57512\tlr:[2.7509665e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:10,072 [    hooks.py:  207]:\tstep: 33130\tsteps/sec: 1.05434\tloss: 0.69744\tlr:[2.7502872e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:18,887 [    hooks.py:  207]:\tstep: 33140\tsteps/sec: 1.13781\tloss: 0.79769\tlr:[2.749608e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:27,056 [    hooks.py:  207]:\tstep: 33150\tsteps/sec: 1.18729\tloss: 0.27819\tlr:[2.7489292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:34,371 [    hooks.py:  207]:\tstep: 33160\tsteps/sec: 1.43379\tloss: 0.61026\tlr:[2.7482503e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:43,536 [    hooks.py:  207]:\tstep: 33170\tsteps/sec: 1.09135\tloss: 0.43400\tlr:[2.7475711e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:46:50,805 [    hooks.py:  207]:\tstep: 33180\tsteps/sec: 1.40217\tloss: 0.26072\tlr:[2.746892e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:00,829 [    hooks.py:  207]:\tstep: 33190\tsteps/sec: 0.97138\tloss: 0.34757\tlr:[2.746213e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:09,924 [    hooks.py:  207]:\tstep: 33200\tsteps/sec: 1.11710\tloss: 0.38694\tlr:[2.745534e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:18,436 [    hooks.py:  207]:\tstep: 33210\tsteps/sec: 1.17722\tloss: 0.46527\tlr:[2.7448548e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:27,153 [    hooks.py:  207]:\tstep: 33220\tsteps/sec: 1.13491\tloss: 0.63566\tlr:[2.7441758e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:35,699 [    hooks.py:  207]:\tstep: 33230\tsteps/sec: 1.18233\tloss: 0.51478\tlr:[2.7434971e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:44,464 [    hooks.py:  207]:\tstep: 33240\tsteps/sec: 1.15028\tloss: 0.60280\tlr:[2.7428176e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:47:53,793 [    hooks.py:  207]:\tstep: 33250\tsteps/sec: 1.05024\tloss: 0.23563\tlr:[2.7421383e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:02,683 [    hooks.py:  207]:\tstep: 33260\tsteps/sec: 1.17996\tloss: 0.37253\tlr:[2.7414595e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:10,412 [    hooks.py:  207]:\tstep: 33270\tsteps/sec: 1.22118\tloss: 0.75003\tlr:[2.7407807e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:19,956 [    hooks.py:  207]:\tstep: 33280\tsteps/sec: 1.07525\tloss: 0.71814\tlr:[2.7401014e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:27,590 [    hooks.py:  207]:\tstep: 33290\tsteps/sec: 1.27435\tloss: 0.22756\tlr:[2.7394222e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:37,072 [    hooks.py:  207]:\tstep: 33300\tsteps/sec: 1.04450\tloss: 0.45686\tlr:[2.7387434e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:47,526 [    hooks.py:  207]:\tstep: 33310\tsteps/sec: 0.96554\tloss: 0.81285\tlr:[2.7380645e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:48:57,621 [    hooks.py:  207]:\tstep: 33320\tsteps/sec: 0.99392\tloss: 0.88166\tlr:[2.7373853e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 04:49:07,598 [    hooks.py:  207]:\tstep: 33330\tsteps/sec: 1.00716\tloss: 0.24464\tlr:[2.7367061e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:49:17,588 [    hooks.py:  207]:\tstep: 33340\tsteps/sec: 0.97147\tloss: 0.12885\tlr:[2.736027e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:52:02,754 [    hooks.py:  207]:\tstep: 33520\tsteps/sec: 1.06461\tloss: 0.77239\tlr:[2.723804e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:52:11,273 [    hooks.py:  207]:\tstep: 33530\tsteps/sec: 1.22775\tloss: 0.53155\tlr:[2.7231252e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:52:17,998 [    hooks.py:  207]:\tstep: 33540\tsteps/sec: 1.38309\tloss: 0.60652\tlr:[2.7224463e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:52:51,374 [    hooks.py:  207]:\tstep: 33580\tsteps/sec: 1.10964\tloss: 0.83941\tlr:[2.71973e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:52:59,566 [    hooks.py:  207]:\tstep: 33590\tsteps/sec: 1.23750\tloss: 0.24921\tlr:[2.7190508e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:54:46,741 [    hooks.py:  207]:\tstep: 33720\tsteps/sec: 1.08380\tloss: 0.73668\tlr:[2.7102235e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:54:54,006 [    hooks.py:  207]:\tstep: 33730\tsteps/sec: 1.37690\tloss: 0.44766\tlr:[2.7095442e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:55:02,125 [    hooks.py:  207]:\tstep: 33740\tsteps/sec: 1.29255\tloss: 0.28410\tlr:[2.708865e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:55:10,043 [    hooks.py:  207]:\tstep: 33750\tsteps/sec: 1.23410\tloss: 0.69777\tlr:[2.7081858e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 04:55:43,619 [    hooks.py:  207]:\tstep: 33790\tsteps/sec: 1.05248\tloss: 0.63357\tlr:[2.7054697e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:55:51,272 [    hooks.py:  207]:\tstep: 33800\tsteps/sec: 1.35271\tloss: 0.42260\tlr:[2.704791e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:55:57,964 [    hooks.py:  207]:\tstep: 33810\tsteps/sec: 1.43031\tloss: 0.64772\tlr:[2.7041118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:07,376 [    hooks.py:  207]:\tstep: 33820\tsteps/sec: 1.06101\tloss: 0.75866\tlr:[2.7034326e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:17,380 [    hooks.py:  207]:\tstep: 33830\tsteps/sec: 1.00500\tloss: 0.34283\tlr:[2.7027534e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:26,179 [    hooks.py:  207]:\tstep: 33840\tsteps/sec: 1.16136\tloss: 0.44140\tlr:[2.7020742e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:34,754 [    hooks.py:  207]:\tstep: 33850\tsteps/sec: 1.15146\tloss: 0.75099\tlr:[2.7013952e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:42,855 [    hooks.py:  207]:\tstep: 33860\tsteps/sec: 1.17100\tloss: 0.58346\tlr:[2.7007161e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:51,584 [    hooks.py:  207]:\tstep: 33870\tsteps/sec: 1.14008\tloss: 0.80550\tlr:[2.7000377e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:56:59,533 [    hooks.py:  207]:\tstep: 33880\tsteps/sec: 1.28974\tloss: 0.37848\tlr:[2.6993584e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:57:08,081 [    hooks.py:  207]:\tstep: 33890\tsteps/sec: 1.17880\tloss: 0.57683\tlr:[2.6986792e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:57:16,074 [    hooks.py:  207]:\tstep: 33900\tsteps/sec: 1.30204\tloss: 0.54372\tlr:[2.6980004e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:57:23,610 [    hooks.py:  207]:\tstep: 33910\tsteps/sec: 1.23496\tloss: 0.27048\tlr:[2.6973214e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:57:32,828 [    hooks.py:  207]:\tstep: 33920\tsteps/sec: 1.12230\tloss: 0.99522\tlr:[2.6966422e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:57:42,879 [    hooks.py:  207]:\tstep: 33930\tsteps/sec: 1.00156\tloss: 0.20690\tlr:[2.695963e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:57:51,444 [    hooks.py:  207]:\tstep: 33940\tsteps/sec: 1.19429\tloss: 0.27539\tlr:[2.695284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:00,027 [    hooks.py:  207]:\tstep: 33950\tsteps/sec: 1.12950\tloss: 0.51234\tlr:[2.6946049e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:10,368 [    hooks.py:  207]:\tstep: 33960\tsteps/sec: 0.99201\tloss: 0.14010\tlr:[2.6939257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:18,763 [    hooks.py:  207]:\tstep: 33970\tsteps/sec: 1.16284\tloss: 0.58362\tlr:[2.6932465e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 04:58:28,237 [    hooks.py:  207]:\tstep: 33980\tsteps/sec: 1.05780\tloss: 0.51309\tlr:[2.6925676e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:36,013 [    hooks.py:  207]:\tstep: 33990\tsteps/sec: 1.31869\tloss: 0.27666\tlr:[2.6918884e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:42,917 [    hooks.py:  207]:\tstep: 34000\tsteps/sec: 1.41493\tloss: 0.35401\tlr:[2.6912092e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:42,918 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:42,918 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:42,918 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 04:58:42,918 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:42,918 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf605ece80>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 04:58:42,918 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf605eccc0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:06:45,540 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,541 [  trainer.py:   58]:\t{'acc': 0.7859437751004016, 'loss': 0.5567878529620476}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,542 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,543 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:06:45,543 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:06:45,543 [  trainer.py:   70]:\tacc\t0.7859437751004016\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:06:45,543 [  trainer.py:   70]:\tloss\t0.5567878529620476\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:06:45,543 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,543 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7859437751004016, 'loss': 0.5567878529620476}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,543 [ exporter.py:   64]:\t[Best Exporter]: skip step 34000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,544 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7859437751004016, 'loss': 0.5567878529620476}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,544 [ exporter.py:  104]:\t[Best Exporter]: skip step 34000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:45,545 [monitored_executor.py:  122]:\tsaving step 34000 to ./output/model_34000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:48,998 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_31000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:06:58,019 [    hooks.py:  207]:\tstep: 34010\tsteps/sec: 0.02019\tloss: 0.57612\tlr:[2.6905303e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:06,416 [    hooks.py:  207]:\tstep: 34020\tsteps/sec: 1.23376\tloss: 0.49173\tlr:[2.6898515e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:14,370 [    hooks.py:  207]:\tstep: 34030\tsteps/sec: 1.21554\tloss: 0.28831\tlr:[2.6891725e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:23,232 [    hooks.py:  207]:\tstep: 34040\tsteps/sec: 1.13306\tloss: 1.17180\tlr:[2.6884934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:29,902 [    hooks.py:  207]:\tstep: 34050\tsteps/sec: 1.45752\tloss: 0.78005\tlr:[2.6878144e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:40,498 [    hooks.py:  207]:\tstep: 34060\tsteps/sec: 0.98813\tloss: 1.11861\tlr:[2.6871356e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:50,497 [    hooks.py:  207]:\tstep: 34070\tsteps/sec: 0.99079\tloss: 0.42489\tlr:[2.6864564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:07:59,258 [    hooks.py:  207]:\tstep: 34080\tsteps/sec: 1.12502\tloss: 0.42458\tlr:[2.6857771e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:08:07,978 [    hooks.py:  207]:\tstep: 34090\tsteps/sec: 1.12791\tloss: 0.37631\tlr:[2.6850983e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:08:28,268 [    hooks.py:  207]:\tstep: 34110\tsteps/sec: 1.04477\tloss: 0.53526\tlr:[2.6837399e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:08:35,639 [    hooks.py:  207]:\tstep: 34120\tsteps/sec: 1.40467\tloss: 0.49999\tlr:[2.683061e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:08:42,600 [    hooks.py:  207]:\tstep: 34130\tsteps/sec: 1.38801\tloss: 0.75254\tlr:[2.6823822e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:08:50,786 [    hooks.py:  207]:\tstep: 34140\tsteps/sec: 1.25548\tloss: 0.45552\tlr:[2.681703e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:09:08,559 [    hooks.py:  207]:\tstep: 34160\tsteps/sec: 1.06787\tloss: 0.53697\tlr:[2.6803447e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:09:18,628 [    hooks.py:  207]:\tstep: 34170\tsteps/sec: 0.99904\tloss: 0.32904\tlr:[2.6796659e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:09:28,129 [    hooks.py:  207]:\tstep: 34180\tsteps/sec: 1.03947\tloss: 0.19614\tlr:[2.6789867e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:09:38,464 [    hooks.py:  207]:\tstep: 34190\tsteps/sec: 0.96746\tloss: 0.57325\tlr:[2.6783075e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:09:47,306 [    hooks.py:  207]:\tstep: 34200\tsteps/sec: 1.13934\tloss: 0.53161\tlr:[2.6776286e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:09:53,909 [    hooks.py:  207]:\tstep: 34210\tsteps/sec: 1.51112\tloss: 0.38573\tlr:[2.6769498e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:10:03,016 [    hooks.py:  207]:\tstep: 34220\tsteps/sec: 1.11659\tloss: 0.36514\tlr:[2.6762706e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:10:11,626 [    hooks.py:  207]:\tstep: 34230\tsteps/sec: 1.16153\tloss: 0.65895\tlr:[2.675591e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:10:19,711 [    hooks.py:  207]:\tstep: 34240\tsteps/sec: 1.21556\tloss: 0.98307\tlr:[2.6749125e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:10:41,999 [    hooks.py:  207]:\tstep: 34270\tsteps/sec: 1.49039\tloss: 0.28485\tlr:[2.6728749e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:11:06,603 [    hooks.py:  207]:\tstep: 34300\tsteps/sec: 1.23917\tloss: 0.39334\tlr:[2.6708376e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:11:15,305 [    hooks.py:  207]:\tstep: 34310\tsteps/sec: 1.13629\tloss: 0.32899\tlr:[2.6701588e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:11:27,107 [    hooks.py:  207]:\tstep: 34320\tsteps/sec: 0.83055\tloss: 0.88711\tlr:[2.6694797e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:11:35,696 [    hooks.py:  207]:\tstep: 34330\tsteps/sec: 1.16307\tloss: 0.36140\tlr:[2.6688005e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:11:43,909 [    hooks.py:  207]:\tstep: 34340\tsteps/sec: 1.18743\tloss: 0.23627\tlr:[2.6681213e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:11:51,275 [    hooks.py:  207]:\tstep: 34350\tsteps/sec: 1.40537\tloss: 0.11287\tlr:[2.6674425e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:00,038 [    hooks.py:  207]:\tstep: 34360\tsteps/sec: 1.13577\tloss: 0.29765\tlr:[2.666764e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:08,417 [    hooks.py:  207]:\tstep: 34370\tsteps/sec: 1.21278\tloss: 0.45459\tlr:[2.6660848e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:16,126 [    hooks.py:  207]:\tstep: 34380\tsteps/sec: 1.34928\tloss: 0.51967\tlr:[2.6654052e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:24,298 [    hooks.py:  207]:\tstep: 34390\tsteps/sec: 1.12678\tloss: 0.49287\tlr:[2.6647265e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:33,969 [    hooks.py:  207]:\tstep: 34400\tsteps/sec: 1.07734\tloss: 0.22893\tlr:[2.6640477e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:44,922 [    hooks.py:  207]:\tstep: 34410\tsteps/sec: 0.91956\tloss: 0.65188\tlr:[2.6633683e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:12:53,457 [    hooks.py:  207]:\tstep: 34420\tsteps/sec: 1.16653\tloss: 0.34628\tlr:[2.662689e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:13:02,908 [    hooks.py:  207]:\tstep: 34430\tsteps/sec: 1.11401\tloss: 0.37938\tlr:[2.66201e-05]\u001b[0m\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 05:13:11,512 [    hooks.py:  207]:\tstep: 34440\tsteps/sec: 1.12330\tloss: 0.29295\tlr:[2.6613312e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:13:19,309 [    hooks.py:  207]:\tstep: 34450\tsteps/sec: 1.25672\tloss: 0.24464\tlr:[2.660652e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:13:57,861 [    hooks.py:  207]:\tstep: 34490\tsteps/sec: 0.90455\tloss: 0.35544\tlr:[2.6579359e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:14:05,993 [    hooks.py:  207]:\tstep: 34500\tsteps/sec: 1.27076\tloss: 0.61831\tlr:[2.657257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:14:13,729 [    hooks.py:  207]:\tstep: 34510\tsteps/sec: 1.20894\tloss: 0.43465\tlr:[2.656578e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:14:31,722 [    hooks.py:  207]:\tstep: 34530\tsteps/sec: 1.22897\tloss: 0.57905\tlr:[2.6552196e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 05:15:49,544 [    hooks.py:  207]:\tstep: 34620\tsteps/sec: 1.00805\tloss: 0.54638\tlr:[2.6491083e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:15:57,954 [    hooks.py:  207]:\tstep: 34630\tsteps/sec: 1.24489\tloss: 0.59460\tlr:[2.6484293e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:05,038 [    hooks.py:  207]:\tstep: 34640\tsteps/sec: 1.43938\tloss: 0.53977\tlr:[2.64775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:12,306 [    hooks.py:  207]:\tstep: 34650\tsteps/sec: 1.33972\tloss: 0.34880\tlr:[2.647071e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:21,560 [    hooks.py:  207]:\tstep: 34660\tsteps/sec: 1.11617\tloss: 0.45240\tlr:[2.6463922e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:30,186 [    hooks.py:  207]:\tstep: 34670\tsteps/sec: 1.13938\tloss: 0.43698\tlr:[2.645713e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:37,930 [    hooks.py:  207]:\tstep: 34680\tsteps/sec: 1.21067\tloss: 0.24897\tlr:[2.6450338e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:49,089 [    hooks.py:  207]:\tstep: 34690\tsteps/sec: 0.93467\tloss: 1.05702\tlr:[2.644355e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:16:59,038 [    hooks.py:  207]:\tstep: 34700\tsteps/sec: 1.01775\tloss: 0.84734\tlr:[2.6436757e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:07,743 [    hooks.py:  207]:\tstep: 34710\tsteps/sec: 1.11952\tloss: 0.43468\tlr:[2.6429965e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:14,544 [    hooks.py:  207]:\tstep: 34720\tsteps/sec: 1.48302\tloss: 0.71607\tlr:[2.6423173e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:24,784 [    hooks.py:  207]:\tstep: 34730\tsteps/sec: 0.97392\tloss: 0.62886\tlr:[2.6416388e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:32,271 [    hooks.py:  207]:\tstep: 34740\tsteps/sec: 1.34285\tloss: 0.65412\tlr:[2.6409596e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:41,862 [    hooks.py:  207]:\tstep: 34750\tsteps/sec: 1.05683\tloss: 0.49191\tlr:[2.6402804e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:50,318 [    hooks.py:  207]:\tstep: 34760\tsteps/sec: 1.18916\tloss: 0.37723\tlr:[2.6396012e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:17:59,262 [    hooks.py:  207]:\tstep: 34770\tsteps/sec: 1.11324\tloss: 0.59410\tlr:[2.6389225e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:18:07,140 [    hooks.py:  207]:\tstep: 34780\tsteps/sec: 1.26034\tloss: 0.81360\tlr:[2.6382433e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:18:17,100 [    hooks.py:  207]:\tstep: 34790\tsteps/sec: 0.98558\tloss: 0.58959\tlr:[2.6375641e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:18:26,552 [    hooks.py:  207]:\tstep: 34800\tsteps/sec: 1.05286\tloss: 0.31986\tlr:[2.6368853e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:18:34,811 [    hooks.py:  207]:\tstep: 34810\tsteps/sec: 1.21676\tloss: 0.45265\tlr:[2.6362064e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:18:45,027 [    hooks.py:  207]:\tstep: 34820\tsteps/sec: 0.99683\tloss: 0.34692\tlr:[2.6355272e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:18:53,960 [    hooks.py:  207]:\tstep: 34830\tsteps/sec: 1.09940\tloss: 0.49254\tlr:[2.634848e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:03,152 [    hooks.py:  207]:\tstep: 34840\tsteps/sec: 1.05811\tloss: 0.31277\tlr:[2.6341691e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:11,340 [    hooks.py:  207]:\tstep: 34850\tsteps/sec: 1.30766\tloss: 0.33874\tlr:[2.63349e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:17,425 [    hooks.py:  207]:\tstep: 34860\tsteps/sec: 1.49714\tloss: 0.43082\tlr:[2.6328104e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:27,206 [    hooks.py:  207]:\tstep: 34870\tsteps/sec: 1.08161\tloss: 0.70510\tlr:[2.6321315e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:34,153 [    hooks.py:  207]:\tstep: 34880\tsteps/sec: 1.41081\tloss: 0.41384\tlr:[2.6314527e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:43,234 [    hooks.py:  207]:\tstep: 34890\tsteps/sec: 1.08933\tloss: 0.31362\tlr:[2.6307735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:19:53,695 [    hooks.py:  207]:\tstep: 34900\tsteps/sec: 0.97295\tloss: 0.99754\tlr:[2.6300942e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:01,203 [    hooks.py:  207]:\tstep: 34910\tsteps/sec: 1.37962\tloss: 0.49969\tlr:[2.6294154e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:08,626 [    hooks.py:  207]:\tstep: 34920\tsteps/sec: 1.28961\tloss: 0.29404\tlr:[2.6287364e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:15,600 [    hooks.py:  207]:\tstep: 34930\tsteps/sec: 1.39299\tloss: 0.43045\tlr:[2.6280575e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:25,489 [    hooks.py:  207]:\tstep: 34940\tsteps/sec: 1.04565\tloss: 0.51624\tlr:[2.6273781e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:34,114 [    hooks.py:  207]:\tstep: 34950\tsteps/sec: 1.14377\tloss: 0.43882\tlr:[2.6266991e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:43,490 [    hooks.py:  207]:\tstep: 34960\tsteps/sec: 1.06989\tloss: 0.36652\tlr:[2.6260206e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:20:53,747 [    hooks.py:  207]:\tstep: 34970\tsteps/sec: 0.97062\tloss: 0.42230\tlr:[2.625341e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:05,048 [    hooks.py:  207]:\tstep: 34980\tsteps/sec: 0.89451\tloss: 0.38733\tlr:[2.6246618e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:12,501 [    hooks.py:  207]:\tstep: 34990\tsteps/sec: 1.31024\tloss: 0.37703\tlr:[2.623983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:20,362 [    hooks.py:  207]:\tstep: 35000\tsteps/sec: 1.25944\tloss: 0.33005\tlr:[2.6233038e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:20,366 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:20,367 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:20,367 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:21:20,367 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:20,367 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf6060a4e0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:21:20,367 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf606a4c88>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:29:22,032 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,034 [  trainer.py:   58]:\t{'acc': 0.7763052208835342, 'loss': 0.5816866824260125}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,034 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,034 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:29:22,035 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:29:22,035 [  trainer.py:   70]:\tacc\t0.7763052208835342\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:29:22,035 [  trainer.py:   70]:\tloss\t0.5816866824260125\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 05:29:22,035 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,036 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7763052208835342, 'loss': 0.5816866824260125}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,036 [ exporter.py:   64]:\t[Best Exporter]: skip step 35000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,036 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7763052208835342, 'loss': 0.5816866824260125}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,036 [ exporter.py:  104]:\t[Best Exporter]: skip step 35000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:22,037 [monitored_executor.py:  122]:\tsaving step 35000 to ./output/model_35000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 05:29:25,235 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_32000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:34,174 [    hooks.py:  207]:\tstep: 35010\tsteps/sec: 0.02026\tloss: 1.02059\tlr:[2.6226246e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:42,140 [    hooks.py:  207]:\tstep: 35020\tsteps/sec: 1.20028\tloss: 0.62546\tlr:[2.6219457e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:51,207 [    hooks.py:  207]:\tstep: 35030\tsteps/sec: 1.18080\tloss: 0.72147\tlr:[2.6212667e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:29:57,690 [    hooks.py:  207]:\tstep: 35040\tsteps/sec: 1.45618\tloss: 0.46113\tlr:[2.6205877e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:30:07,738 [    hooks.py:  207]:\tstep: 35050\tsteps/sec: 0.96632\tloss: 0.38177\tlr:[2.6199084e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:30:18,941 [    hooks.py:  207]:\tstep: 35060\tsteps/sec: 0.92712\tloss: 0.31964\tlr:[2.6192298e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:30:27,116 [    hooks.py:  207]:\tstep: 35070\tsteps/sec: 1.23138\tloss: 0.86773\tlr:[2.6185506e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:30:36,049 [    hooks.py:  207]:\tstep: 35080\tsteps/sec: 1.13134\tloss: 0.30308\tlr:[2.6178717e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:30:43,819 [    hooks.py:  207]:\tstep: 35090\tsteps/sec: 1.26050\tloss: 0.39562\tlr:[2.6171925e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:30:54,841 [    hooks.py:  207]:\tstep: 35100\tsteps/sec: 0.90720\tloss: 0.68935\tlr:[2.6165133e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:02,036 [    hooks.py:  207]:\tstep: 35110\tsteps/sec: 1.51299\tloss: 0.34085\tlr:[2.6158345e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:11,473 [    hooks.py:  207]:\tstep: 35120\tsteps/sec: 0.98214\tloss: 0.44545\tlr:[2.6151552e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:19,758 [    hooks.py:  207]:\tstep: 35130\tsteps/sec: 1.22600\tloss: 0.51525\tlr:[2.6144764e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:28,766 [    hooks.py:  207]:\tstep: 35140\tsteps/sec: 1.07172\tloss: 0.49256\tlr:[2.6137974e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:36,383 [    hooks.py:  207]:\tstep: 35150\tsteps/sec: 1.40691\tloss: 0.31534\tlr:[2.6131182e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:47,063 [    hooks.py:  207]:\tstep: 35160\tsteps/sec: 0.93860\tloss: 0.32893\tlr:[2.612439e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:31:55,898 [    hooks.py:  207]:\tstep: 35170\tsteps/sec: 1.11448\tloss: 0.60153\tlr:[2.6117601e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:04,266 [    hooks.py:  207]:\tstep: 35180\tsteps/sec: 1.17243\tloss: 0.38999\tlr:[2.6110813e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:13,376 [    hooks.py:  207]:\tstep: 35190\tsteps/sec: 1.06662\tloss: 0.43489\tlr:[2.610402e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:22,979 [    hooks.py:  207]:\tstep: 35200\tsteps/sec: 1.07903\tloss: 0.30976\tlr:[2.6097228e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:29,948 [    hooks.py:  207]:\tstep: 35210\tsteps/sec: 1.43288\tloss: 0.25624\tlr:[2.609044e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:39,208 [    hooks.py:  207]:\tstep: 35220\tsteps/sec: 1.08495\tloss: 0.30719\tlr:[2.6083651e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:47,858 [    hooks.py:  207]:\tstep: 35230\tsteps/sec: 1.14899\tloss: 0.52312\tlr:[2.607686e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:32:56,812 [    hooks.py:  207]:\tstep: 35240\tsteps/sec: 1.15079\tloss: 0.42320\tlr:[2.6070067e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:04,708 [    hooks.py:  207]:\tstep: 35250\tsteps/sec: 1.17899\tloss: 0.41199\tlr:[2.6063277e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:14,077 [    hooks.py:  207]:\tstep: 35260\tsteps/sec: 1.11340\tloss: 0.28080\tlr:[2.6056488e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:22,341 [    hooks.py:  207]:\tstep: 35270\tsteps/sec: 1.22327\tloss: 0.36617\tlr:[2.6049696e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:31,828 [    hooks.py:  207]:\tstep: 35280\tsteps/sec: 1.07020\tloss: 0.87556\tlr:[2.6042904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:38,194 [    hooks.py:  207]:\tstep: 35290\tsteps/sec: 1.48995\tloss: 0.43873\tlr:[2.6036116e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:46,372 [    hooks.py:  207]:\tstep: 35300\tsteps/sec: 1.22766\tloss: 0.38026\tlr:[2.6029324e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:33:54,622 [    hooks.py:  207]:\tstep: 35310\tsteps/sec: 1.22278\tloss: 0.40014\tlr:[2.6022532e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:00,975 [    hooks.py:  207]:\tstep: 35320\tsteps/sec: 1.62007\tloss: 0.53648\tlr:[2.6015743e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:11,233 [    hooks.py:  207]:\tstep: 35330\tsteps/sec: 0.97781\tloss: 0.27590\tlr:[2.6008955e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:19,108 [    hooks.py:  207]:\tstep: 35340\tsteps/sec: 1.24558\tloss: 0.54869\tlr:[2.6002162e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:27,410 [    hooks.py:  207]:\tstep: 35350\tsteps/sec: 1.19678\tloss: 0.56584\tlr:[2.599537e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:35,376 [    hooks.py:  207]:\tstep: 35360\tsteps/sec: 1.25572\tloss: 0.52435\tlr:[2.5988582e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:43,458 [    hooks.py:  207]:\tstep: 35370\tsteps/sec: 1.18296\tloss: 0.57379\tlr:[2.5981792e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:34:51,924 [    hooks.py:  207]:\tstep: 35380\tsteps/sec: 1.22680\tloss: 0.38168\tlr:[2.5975e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:35:01,622 [    hooks.py:  207]:\tstep: 35390\tsteps/sec: 1.09375\tloss: 0.48285\tlr:[2.5968206e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:35:10,671 [    hooks.py:  207]:\tstep: 35400\tsteps/sec: 1.02929\tloss: 0.43011\tlr:[2.5961419e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:35:19,334 [    hooks.py:  207]:\tstep: 35410\tsteps/sec: 1.18438\tloss: 0.70940\tlr:[2.595463e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 05:35:27,602 [    hooks.py:  207]:\tstep: 35420\tsteps/sec: 1.19690\tloss: 0.62186\tlr:[2.5947835e-05]\u001b[0m\n",
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:14:44,247 [    hooks.py:  207]:\tstep: 37040\tsteps/sec: 1.28865\tloss: 0.45994\tlr:[2.4847763e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:14:51,450 [    hooks.py:  207]:\tstep: 37050\tsteps/sec: 1.42377\tloss: 0.29395\tlr:[2.4840974e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:15:03,613 [    hooks.py:  207]:\tstep: 37060\tsteps/sec: 0.79070\tloss: 0.28660\tlr:[2.483418e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:15:15,005 [    hooks.py:  207]:\tstep: 37070\tsteps/sec: 0.91352\tloss: 0.76353\tlr:[2.4827392e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:15:22,075 [    hooks.py:  207]:\tstep: 37080\tsteps/sec: 1.44788\tloss: 0.83951\tlr:[2.4820602e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 06:27:07,328 [    hooks.py:  207]:\tstep: 37890\tsteps/sec: 1.44786\tloss: 0.22488\tlr:[2.4270566e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 06:28:24,501 [    hooks.py:  207]:\tstep: 37990\tsteps/sec: 1.15214\tloss: 0.42966\tlr:[2.4202662e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:28:32,888 [    hooks.py:  207]:\tstep: 38000\tsteps/sec: 1.22125\tloss: 0.28915\tlr:[2.4195871e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:28:32,889 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:28:32,889 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:28:32,889 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 06:28:32,889 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:28:32,889 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83907e48>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:28:32,890 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83904828>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 06:36:36,429 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,430 [  trainer.py:   58]:\t{'acc': 0.7763052208835342, 'loss': 0.6086467042183265}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,431 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,431 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 06:36:36,432 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 06:36:36,432 [  trainer.py:   70]:\tacc\t0.7763052208835342\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 06:36:36,432 [  trainer.py:   70]:\tloss\t0.6086467042183265\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 06:36:36,432 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,432 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7763052208835342, 'loss': 0.6086467042183265}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,432 [ exporter.py:   64]:\t[Best Exporter]: skip step 38000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,432 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7763052208835342, 'loss': 0.6086467042183265}} \n",
      "old: {'eval': {'acc': 0.7895582329317269, 'loss': 0.531344682455827}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,433 [ exporter.py:  104]:\t[Best Exporter]: skip step 38000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:36,433 [monitored_executor.py:  122]:\tsaving step 38000 to ./output/model_38000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:39,560 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_35000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:48,153 [    hooks.py:  207]:\tstep: 38010\tsteps/sec: 0.02018\tloss: 0.75509\tlr:[2.4189081e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:36:56,015 [    hooks.py:  207]:\tstep: 38020\tsteps/sec: 1.28746\tloss: 1.03574\tlr:[2.418229e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:03,619 [    hooks.py:  207]:\tstep: 38030\tsteps/sec: 1.43347\tloss: 0.86879\tlr:[2.4175497e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:12,012 [    hooks.py:  207]:\tstep: 38040\tsteps/sec: 1.12337\tloss: 0.49537\tlr:[2.4168708e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:19,100 [    hooks.py:  207]:\tstep: 38050\tsteps/sec: 1.38149\tloss: 0.16871\tlr:[2.4161918e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:25,969 [    hooks.py:  207]:\tstep: 38060\tsteps/sec: 1.46482\tloss: 0.45617\tlr:[2.415513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:34,265 [    hooks.py:  207]:\tstep: 38070\tsteps/sec: 1.19287\tloss: 0.83183\tlr:[2.4148338e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:45,034 [    hooks.py:  207]:\tstep: 38080\tsteps/sec: 0.92965\tloss: 0.35160\tlr:[2.4141547e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:37:54,100 [    hooks.py:  207]:\tstep: 38090\tsteps/sec: 1.10036\tloss: 0.57864\tlr:[2.4134755e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:04,095 [    hooks.py:  207]:\tstep: 38100\tsteps/sec: 0.98942\tloss: 0.51646\tlr:[2.4127967e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:14,935 [    hooks.py:  207]:\tstep: 38110\tsteps/sec: 0.92805\tloss: 0.66327\tlr:[2.4121173e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:24,745 [    hooks.py:  207]:\tstep: 38120\tsteps/sec: 0.99424\tloss: 0.60252\tlr:[2.4114386e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:33,106 [    hooks.py:  207]:\tstep: 38130\tsteps/sec: 1.28908\tloss: 0.35652\tlr:[2.4107594e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:39,726 [    hooks.py:  207]:\tstep: 38140\tsteps/sec: 1.38896\tloss: 0.79967\tlr:[2.4100806e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:48,752 [    hooks.py:  207]:\tstep: 38150\tsteps/sec: 1.15854\tloss: 0.25828\tlr:[2.4094013e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:38:57,569 [    hooks.py:  207]:\tstep: 38160\tsteps/sec: 1.14543\tloss: 0.53342\tlr:[2.4087223e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:06,386 [    hooks.py:  207]:\tstep: 38170\tsteps/sec: 1.12102\tloss: 0.54545\tlr:[2.4080431e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:13,915 [    hooks.py:  207]:\tstep: 38180\tsteps/sec: 1.24836\tloss: 0.08168\tlr:[2.4073639e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:24,254 [    hooks.py:  207]:\tstep: 38190\tsteps/sec: 0.96005\tloss: 0.50305\tlr:[2.406685e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:35,067 [    hooks.py:  207]:\tstep: 38200\tsteps/sec: 0.96373\tloss: 0.35516\tlr:[2.4060058e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:42,497 [    hooks.py:  207]:\tstep: 38210\tsteps/sec: 1.38695\tloss: 0.27938\tlr:[2.405327e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:48,832 [    hooks.py:  207]:\tstep: 38220\tsteps/sec: 1.59059\tloss: 0.49592\tlr:[2.4046478e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:39:56,052 [    hooks.py:  207]:\tstep: 38230\tsteps/sec: 1.34814\tloss: 0.33054\tlr:[2.403969e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:05,207 [    hooks.py:  207]:\tstep: 38240\tsteps/sec: 1.08414\tloss: 0.31548\tlr:[2.4032897e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:13,264 [    hooks.py:  207]:\tstep: 38250\tsteps/sec: 1.28164\tloss: 0.44325\tlr:[2.4026109e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:23,662 [    hooks.py:  207]:\tstep: 38260\tsteps/sec: 0.95604\tloss: 0.47870\tlr:[2.4019315e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:30,544 [    hooks.py:  207]:\tstep: 38270\tsteps/sec: 1.43122\tloss: 0.47708\tlr:[2.4012526e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:40,587 [    hooks.py:  207]:\tstep: 38280\tsteps/sec: 0.96223\tloss: 0.34302\tlr:[2.4005736e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:50,653 [    hooks.py:  207]:\tstep: 38290\tsteps/sec: 1.03690\tloss: 0.71935\tlr:[2.3998946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:40:57,790 [    hooks.py:  207]:\tstep: 38300\tsteps/sec: 1.41799\tloss: 0.38211\tlr:[2.3992156e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:41:04,782 [    hooks.py:  207]:\tstep: 38310\tsteps/sec: 1.30982\tloss: 0.33540\tlr:[2.3985362e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:41:13,678 [    hooks.py:  207]:\tstep: 38320\tsteps/sec: 1.20591\tloss: 0.37560\tlr:[2.3978573e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:41:21,805 [    hooks.py:  207]:\tstep: 38330\tsteps/sec: 1.16939\tloss: 0.32872\tlr:[2.3971783e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:41:30,800 [    hooks.py:  207]:\tstep: 38340\tsteps/sec: 1.11736\tloss: 0.76472\tlr:[2.396499e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 06:41:40,644 [    hooks.py:  207]:\tstep: 38350\tsteps/sec: 1.01433\tloss: 0.70467\tlr:[2.39582e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:41:50,280 [    hooks.py:  207]:\tstep: 38360\tsteps/sec: 1.03486\tloss: 0.13933\tlr:[2.3951412e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:41:59,845 [    hooks.py:  207]:\tstep: 38370\tsteps/sec: 1.08890\tloss: 0.26177\tlr:[2.3944618e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:10,244 [    hooks.py:  207]:\tstep: 38380\tsteps/sec: 0.95196\tloss: 0.46623\tlr:[2.3937831e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:20,455 [    hooks.py:  207]:\tstep: 38390\tsteps/sec: 0.95523\tloss: 0.60905\tlr:[2.3931038e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:28,674 [    hooks.py:  207]:\tstep: 38400\tsteps/sec: 1.28750\tloss: 0.69087\tlr:[2.3924249e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:35,386 [    hooks.py:  207]:\tstep: 38410\tsteps/sec: 1.43482\tloss: 0.51406\tlr:[2.3917457e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:43,984 [    hooks.py:  207]:\tstep: 38420\tsteps/sec: 1.18274\tloss: 0.44468\tlr:[2.3910668e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:51,054 [    hooks.py:  207]:\tstep: 38430\tsteps/sec: 1.40563\tloss: 0.22833\tlr:[2.3903876e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:42:59,582 [    hooks.py:  207]:\tstep: 38440\tsteps/sec: 1.17069\tloss: 0.29312\tlr:[2.3897088e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:43:08,993 [    hooks.py:  207]:\tstep: 38450\tsteps/sec: 1.04168\tloss: 0.38170\tlr:[2.3890296e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 06:43:17,554 [    hooks.py:  207]:\tstep: 38460\tsteps/sec: 1.21459\tloss: 0.18179\tlr:[2.3883504e-05]\u001b[0m\n",
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:04,189 [    hooks.py:  207]:\tstep: 39980\tsteps/sec: 1.15165\tloss: 0.62128\tlr:[2.2851338e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:13,434 [    hooks.py:  207]:\tstep: 39990\tsteps/sec: 1.09708\tloss: 0.34658\tlr:[2.2844551e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:21,002 [    hooks.py:  207]:\tstep: 40000\tsteps/sec: 1.28491\tloss: 0.53066\tlr:[2.2837758e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:21,003 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:21,003 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:21,004 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:13:21,004 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:21,004 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf839a8400>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:13:21,004 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c798c50>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:21:23,653 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,654 [  trainer.py:   58]:\t{'acc': 0.7899598393574297, 'loss': 0.5478735304413698}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,654 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,654 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:21:23,655 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:21:23,655 [  trainer.py:   70]:\tacc\t0.7899598393574297\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:21:23,655 [  trainer.py:   70]:\tloss\t0.5478735304413698\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:21:23,656 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,656 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7899598393574297, 'loss': 0.5478735304413698}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,656 [ exporter.py:   64]:\t[Best Exporter]: skip step 40000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,656 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7899598393574297, 'loss': 0.5478735304413698}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,656 [ exporter.py:  104]:\t[Best Exporter]: skip step 40000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:23,657 [monitored_executor.py:  122]:\tsaving step 40000 to ./output/model_40000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:26,852 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_37000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:33,928 [    hooks.py:  207]:\tstep: 40010\tsteps/sec: 0.02029\tloss: 0.59512\tlr:[2.283097e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:41,814 [    hooks.py:  207]:\tstep: 40020\tsteps/sec: 1.24680\tloss: 0.80191\tlr:[2.2824177e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:49,650 [    hooks.py:  207]:\tstep: 40030\tsteps/sec: 1.27531\tloss: 0.29250\tlr:[2.2817387e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:21:59,942 [    hooks.py:  207]:\tstep: 40040\tsteps/sec: 0.99032\tloss: 0.19200\tlr:[2.2810596e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:22:07,108 [    hooks.py:  207]:\tstep: 40050\tsteps/sec: 1.34179\tloss: 0.62874\tlr:[2.2803808e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:22:15,777 [    hooks.py:  207]:\tstep: 40060\tsteps/sec: 1.14730\tloss: 0.17010\tlr:[2.2797016e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:22:24,831 [    hooks.py:  207]:\tstep: 40070\tsteps/sec: 1.13314\tloss: 0.42341\tlr:[2.2790226e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:22:34,254 [    hooks.py:  207]:\tstep: 40080\tsteps/sec: 1.07249\tloss: 0.34191\tlr:[2.2783435e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:22:44,200 [    hooks.py:  207]:\tstep: 40090\tsteps/sec: 0.96958\tloss: 0.24380\tlr:[2.2776643e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:22:54,547 [    hooks.py:  207]:\tstep: 40100\tsteps/sec: 0.99593\tloss: 0.08975\tlr:[2.2769855e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:04,446 [    hooks.py:  207]:\tstep: 40110\tsteps/sec: 0.98176\tloss: 0.71390\tlr:[2.276306e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:15,147 [    hooks.py:  207]:\tstep: 40120\tsteps/sec: 0.94994\tloss: 0.51729\tlr:[2.2756272e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:21,825 [    hooks.py:  207]:\tstep: 40130\tsteps/sec: 1.49224\tloss: 0.41726\tlr:[2.2749482e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:31,191 [    hooks.py:  207]:\tstep: 40140\tsteps/sec: 1.06003\tloss: 0.74197\tlr:[2.2742692e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:40,592 [    hooks.py:  207]:\tstep: 40150\tsteps/sec: 1.07093\tloss: 0.70096\tlr:[2.2735901e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:47,914 [    hooks.py:  207]:\tstep: 40160\tsteps/sec: 1.35399\tloss: 0.23761\tlr:[2.272911e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:23:56,148 [    hooks.py:  207]:\tstep: 40170\tsteps/sec: 1.21785\tloss: 0.60286\tlr:[2.2722319e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:24:03,963 [    hooks.py:  207]:\tstep: 40180\tsteps/sec: 1.36873\tloss: 0.37825\tlr:[2.2715529e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:24:13,772 [    hooks.py:  207]:\tstep: 40190\tsteps/sec: 0.98613\tloss: 0.27086\tlr:[2.2708737e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:24:21,226 [    hooks.py:  207]:\tstep: 40200\tsteps/sec: 1.26623\tloss: 0.55667\tlr:[2.2701948e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 07:31:29,299 [    hooks.py:  207]:\tstep: 40690\tsteps/sec: 1.19532\tloss: 0.28541\tlr:[2.236921e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 07:31:43,769 [    hooks.py:  207]:\tstep: 40710\tsteps/sec: 1.28651\tloss: 0.51472\tlr:[2.235563e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:31:53,030 [    hooks.py:  207]:\tstep: 40720\tsteps/sec: 1.09308\tloss: 0.37395\tlr:[2.234884e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:03,853 [    hooks.py:  207]:\tstep: 40730\tsteps/sec: 0.97275\tloss: 0.13774\tlr:[2.2342048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:13,739 [    hooks.py:  207]:\tstep: 40740\tsteps/sec: 0.97933\tloss: 0.41818\tlr:[2.233526e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:21,147 [    hooks.py:  207]:\tstep: 40750\tsteps/sec: 1.26965\tloss: 0.15492\tlr:[2.2328468e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:29,928 [    hooks.py:  207]:\tstep: 40760\tsteps/sec: 1.20356\tloss: 0.26822\tlr:[2.2321678e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:38,831 [    hooks.py:  207]:\tstep: 40770\tsteps/sec: 1.07960\tloss: 0.61101\tlr:[2.2314885e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:48,354 [    hooks.py:  207]:\tstep: 40780\tsteps/sec: 1.07827\tloss: 0.18843\tlr:[2.2308097e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:32:55,285 [    hooks.py:  207]:\tstep: 40790\tsteps/sec: 1.42335\tloss: 0.31550\tlr:[2.2301305e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:05,380 [    hooks.py:  207]:\tstep: 40800\tsteps/sec: 1.00794\tloss: 0.32888\tlr:[2.2294516e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:13,828 [    hooks.py:  207]:\tstep: 40810\tsteps/sec: 1.18874\tloss: 0.80688\tlr:[2.2287722e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:21,845 [    hooks.py:  207]:\tstep: 40820\tsteps/sec: 1.22352\tloss: 0.58315\tlr:[2.2280932e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:31,697 [    hooks.py:  207]:\tstep: 40830\tsteps/sec: 1.02224\tloss: 0.52660\tlr:[2.2274144e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:38,930 [    hooks.py:  207]:\tstep: 40840\tsteps/sec: 1.40730\tloss: 0.46870\tlr:[2.2267352e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:46,433 [    hooks.py:  207]:\tstep: 40850\tsteps/sec: 1.27158\tloss: 0.40251\tlr:[2.2260561e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:33:55,817 [    hooks.py:  207]:\tstep: 40860\tsteps/sec: 1.08796\tloss: 0.37202\tlr:[2.225377e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:04,567 [    hooks.py:  207]:\tstep: 40870\tsteps/sec: 1.15154\tloss: 0.37764\tlr:[2.224698e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:13,890 [    hooks.py:  207]:\tstep: 40880\tsteps/sec: 1.08323\tloss: 0.43795\tlr:[2.2240189e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:23,570 [    hooks.py:  207]:\tstep: 40890\tsteps/sec: 1.02060\tloss: 0.48611\tlr:[2.22334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:32,142 [    hooks.py:  207]:\tstep: 40900\tsteps/sec: 1.16964\tloss: 0.30401\tlr:[2.2226608e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:40,553 [    hooks.py:  207]:\tstep: 40910\tsteps/sec: 1.17690\tloss: 0.21114\tlr:[2.221982e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:49,030 [    hooks.py:  207]:\tstep: 40920\tsteps/sec: 1.20152\tloss: 0.63078\tlr:[2.2213027e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:34:55,695 [    hooks.py:  207]:\tstep: 40930\tsteps/sec: 1.46593\tloss: 0.67732\tlr:[2.2206237e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:02,897 [    hooks.py:  207]:\tstep: 40940\tsteps/sec: 1.51791\tloss: 0.42541\tlr:[2.2199445e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 07:35:09,444 [    hooks.py:  207]:\tstep: 40950\tsteps/sec: 1.41901\tloss: 0.73979\tlr:[2.2192658e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:20,581 [    hooks.py:  207]:\tstep: 40960\tsteps/sec: 0.89397\tloss: 0.18251\tlr:[2.2185865e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:29,089 [    hooks.py:  207]:\tstep: 40970\tsteps/sec: 1.18593\tloss: 0.36412\tlr:[2.2179072e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:36,817 [    hooks.py:  207]:\tstep: 40980\tsteps/sec: 1.25680\tloss: 0.39615\tlr:[2.2172284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:46,533 [    hooks.py:  207]:\tstep: 40990\tsteps/sec: 1.03075\tloss: 0.52766\tlr:[2.2165492e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:53,997 [    hooks.py:  207]:\tstep: 41000\tsteps/sec: 1.38356\tloss: 0.29875\tlr:[2.2158703e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:53,998 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:53,998 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:53,998 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:35:53,998 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:53,998 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c80c630>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:35:53,998 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c7d1128>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:43:56,180 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,181 [  trainer.py:   58]:\t{'acc': 0.7742971887550201, 'loss': 0.596247603209355}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,182 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,183 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:43:56,183 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:43:56,183 [  trainer.py:   70]:\tacc\t0.7742971887550201\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:43:56,183 [  trainer.py:   70]:\tloss\t0.596247603209355\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 07:43:56,183 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,183 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7742971887550201, 'loss': 0.596247603209355}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,183 [ exporter.py:   64]:\t[Best Exporter]: skip step 41000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,183 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7742971887550201, 'loss': 0.596247603209355}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,184 [ exporter.py:  104]:\t[Best Exporter]: skip step 41000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:56,185 [monitored_executor.py:  122]:\tsaving step 41000 to ./output/model_41000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:43:59,458 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_38000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:44:08,578 [    hooks.py:  207]:\tstep: 41010\tsteps/sec: 0.02022\tloss: 0.58824\tlr:[2.215191e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:44:17,085 [    hooks.py:  207]:\tstep: 41020\tsteps/sec: 1.14098\tloss: 0.46548\tlr:[2.2145121e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:44:26,880 [    hooks.py:  207]:\tstep: 41030\tsteps/sec: 1.03254\tloss: 0.50922\tlr:[2.2138329e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:44:33,992 [    hooks.py:  207]:\tstep: 41040\tsteps/sec: 1.43343\tloss: 0.21027\tlr:[2.213154e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:44:42,377 [    hooks.py:  207]:\tstep: 41050\tsteps/sec: 1.16961\tloss: 0.51347\tlr:[2.2124748e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:44:51,974 [    hooks.py:  207]:\tstep: 41060\tsteps/sec: 1.03588\tloss: 0.27617\tlr:[2.211796e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:00,643 [    hooks.py:  207]:\tstep: 41070\tsteps/sec: 1.20393\tloss: 0.41880\tlr:[2.2111168e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:09,286 [    hooks.py:  207]:\tstep: 41080\tsteps/sec: 1.14476\tloss: 0.43289\tlr:[2.210438e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:16,724 [    hooks.py:  207]:\tstep: 41090\tsteps/sec: 1.30380\tloss: 0.24160\tlr:[2.2097587e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:26,812 [    hooks.py:  207]:\tstep: 41100\tsteps/sec: 0.99908\tloss: 0.44722\tlr:[2.2090799e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:33,989 [    hooks.py:  207]:\tstep: 41110\tsteps/sec: 1.41268\tloss: 0.37726\tlr:[2.2084008e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:43,428 [    hooks.py:  207]:\tstep: 41120\tsteps/sec: 1.04530\tloss: 0.45240\tlr:[2.2077214e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:45:50,738 [    hooks.py:  207]:\tstep: 41130\tsteps/sec: 1.39147\tloss: 0.36525\tlr:[2.2070426e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:00,696 [    hooks.py:  207]:\tstep: 41140\tsteps/sec: 1.00689\tloss: 0.44451\tlr:[2.2063634e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:11,484 [    hooks.py:  207]:\tstep: 41150\tsteps/sec: 0.92042\tloss: 0.14924\tlr:[2.2056845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:19,766 [    hooks.py:  207]:\tstep: 41160\tsteps/sec: 1.22075\tloss: 0.29342\tlr:[2.2050053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:28,027 [    hooks.py:  207]:\tstep: 41170\tsteps/sec: 1.17404\tloss: 0.41165\tlr:[2.2043265e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:36,391 [    hooks.py:  207]:\tstep: 41180\tsteps/sec: 1.20031\tloss: 0.76743\tlr:[2.203647e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:46,270 [    hooks.py:  207]:\tstep: 41190\tsteps/sec: 1.01951\tloss: 0.48209\tlr:[2.2029682e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:46:54,860 [    hooks.py:  207]:\tstep: 41200\tsteps/sec: 1.18421\tloss: 0.59163\tlr:[2.202289e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:04,614 [    hooks.py:  207]:\tstep: 41210\tsteps/sec: 1.02756\tloss: 0.69813\tlr:[2.2016102e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:12,975 [    hooks.py:  207]:\tstep: 41220\tsteps/sec: 1.17433\tloss: 0.22005\tlr:[2.200931e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:21,795 [    hooks.py:  207]:\tstep: 41230\tsteps/sec: 1.13359\tloss: 0.37264\tlr:[2.2002521e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:28,575 [    hooks.py:  207]:\tstep: 41240\tsteps/sec: 1.48065\tloss: 0.58455\tlr:[2.199573e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:37,333 [    hooks.py:  207]:\tstep: 41250\tsteps/sec: 1.12416\tloss: 0.43051\tlr:[2.1988939e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:45,417 [    hooks.py:  207]:\tstep: 41260\tsteps/sec: 1.19618\tloss: 0.16702\tlr:[2.1982149e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:47:54,014 [    hooks.py:  207]:\tstep: 41270\tsteps/sec: 1.24020\tloss: 0.38899\tlr:[2.1975357e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:02,771 [    hooks.py:  207]:\tstep: 41280\tsteps/sec: 1.17753\tloss: 0.41008\tlr:[2.1968566e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:10,778 [    hooks.py:  207]:\tstep: 41290\tsteps/sec: 1.19504\tloss: 0.51117\tlr:[2.1961776e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:19,591 [    hooks.py:  207]:\tstep: 41300\tsteps/sec: 1.15847\tloss: 0.80178\tlr:[2.1954986e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:27,038 [    hooks.py:  207]:\tstep: 41310\tsteps/sec: 1.28951\tloss: 0.62717\tlr:[2.1948192e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:35,898 [    hooks.py:  207]:\tstep: 41320\tsteps/sec: 1.12675\tloss: 0.80029\tlr:[2.1941403e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:46,419 [    hooks.py:  207]:\tstep: 41330\tsteps/sec: 0.92648\tloss: 0.41932\tlr:[2.1934615e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:48:56,068 [    hooks.py:  207]:\tstep: 41340\tsteps/sec: 1.06743\tloss: 0.32517\tlr:[2.1927824e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:49:06,783 [    hooks.py:  207]:\tstep: 41350\tsteps/sec: 0.93921\tloss: 0.51737\tlr:[2.1921032e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:49:15,011 [    hooks.py:  207]:\tstep: 41360\tsteps/sec: 1.22571\tloss: 0.35584\tlr:[2.1914244e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:49:23,408 [    hooks.py:  207]:\tstep: 41370\tsteps/sec: 1.17735\tloss: 0.45253\tlr:[2.1907452e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:49:32,294 [    hooks.py:  207]:\tstep: 41380\tsteps/sec: 1.12891\tloss: 0.51496\tlr:[2.1900662e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:49:38,973 [    hooks.py:  207]:\tstep: 41390\tsteps/sec: 1.51243\tloss: 0.49740\tlr:[2.189387e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 07:49:47,431 [    hooks.py:  207]:\tstep: 41400\tsteps/sec: 1.16940\tloss: 0.64497\tlr:[2.1887081e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:29:53,888 [    hooks.py:  207]:\tstep: 43050\tsteps/sec: 0.88949\tloss: 0.18220\tlr:[2.0766634e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:04,896 [    hooks.py:  207]:\tstep: 43060\tsteps/sec: 0.93032\tloss: 0.34885\tlr:[2.0759848e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:13,127 [    hooks.py:  207]:\tstep: 43070\tsteps/sec: 1.17766\tloss: 0.26274\tlr:[2.0753056e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:20,704 [    hooks.py:  207]:\tstep: 43080\tsteps/sec: 1.37526\tloss: 0.16291\tlr:[2.0746267e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:27,724 [    hooks.py:  207]:\tstep: 43090\tsteps/sec: 1.37301\tloss: 0.57161\tlr:[2.0739475e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:36,229 [    hooks.py:  207]:\tstep: 43100\tsteps/sec: 1.22527\tloss: 0.51577\tlr:[2.0732685e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:44,422 [    hooks.py:  207]:\tstep: 43110\tsteps/sec: 1.18133\tloss: 0.56439\tlr:[2.0725895e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:30:53,497 [    hooks.py:  207]:\tstep: 43120\tsteps/sec: 1.09782\tloss: 0.68214\tlr:[2.0719106e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:01,208 [    hooks.py:  207]:\tstep: 43130\tsteps/sec: 1.43210\tloss: 0.45387\tlr:[2.0712312e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:11,148 [    hooks.py:  207]:\tstep: 43140\tsteps/sec: 0.96985\tloss: 0.28377\tlr:[2.0705525e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:19,559 [    hooks.py:  207]:\tstep: 43150\tsteps/sec: 1.15291\tloss: 0.33157\tlr:[2.0698735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:28,390 [    hooks.py:  207]:\tstep: 43160\tsteps/sec: 1.11669\tloss: 0.32563\tlr:[2.0691943e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:38,621 [    hooks.py:  207]:\tstep: 43170\tsteps/sec: 0.98547\tloss: 0.84459\tlr:[2.0685153e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:47,849 [    hooks.py:  207]:\tstep: 43180\tsteps/sec: 1.07382\tloss: 0.62717\tlr:[2.067836e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:31:56,196 [    hooks.py:  207]:\tstep: 43190\tsteps/sec: 1.24350\tloss: 0.66597\tlr:[2.067157e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:03,529 [    hooks.py:  207]:\tstep: 43200\tsteps/sec: 1.35684\tloss: 0.34807\tlr:[2.066478e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:12,308 [    hooks.py:  207]:\tstep: 43210\tsteps/sec: 1.07072\tloss: 0.84460\tlr:[2.0657988e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:22,511 [    hooks.py:  207]:\tstep: 43220\tsteps/sec: 1.02090\tloss: 0.37098\tlr:[2.0651198e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:31,459 [    hooks.py:  207]:\tstep: 43230\tsteps/sec: 1.09650\tloss: 0.61912\tlr:[2.0644407e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:41,650 [    hooks.py:  207]:\tstep: 43240\tsteps/sec: 0.96476\tloss: 0.44234\tlr:[2.0637615e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:50,239 [    hooks.py:  207]:\tstep: 43250\tsteps/sec: 1.23675\tloss: 0.47322\tlr:[2.0630827e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:32:58,306 [    hooks.py:  207]:\tstep: 43260\tsteps/sec: 1.15398\tloss: 0.41695\tlr:[2.0624035e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:33:08,934 [    hooks.py:  207]:\tstep: 43270\tsteps/sec: 0.94895\tloss: 0.39763\tlr:[2.0617246e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:33:16,725 [    hooks.py:  207]:\tstep: 43280\tsteps/sec: 1.29180\tloss: 0.31227\tlr:[2.0610454e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:33:25,532 [    hooks.py:  207]:\tstep: 43290\tsteps/sec: 1.20235\tloss: 0.49489\tlr:[2.0603666e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:33:32,394 [    hooks.py:  207]:\tstep: 43300\tsteps/sec: 1.41519\tloss: 0.79614\tlr:[2.0596874e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:33:40,312 [    hooks.py:  207]:\tstep: 43310\tsteps/sec: 1.28786\tloss: 0.23236\tlr:[2.0590085e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:33:57,481 [    hooks.py:  207]:\tstep: 43330\tsteps/sec: 0.96330\tloss: 0.36242\tlr:[2.0576499e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:05,634 [    hooks.py:  207]:\tstep: 43340\tsteps/sec: 1.27236\tloss: 0.35916\tlr:[2.056971e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:13,297 [    hooks.py:  207]:\tstep: 43350\tsteps/sec: 1.26268\tloss: 0.72792\tlr:[2.056292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:20,200 [    hooks.py:  207]:\tstep: 43360\tsteps/sec: 1.44520\tloss: 0.70874\tlr:[2.055613e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:28,917 [    hooks.py:  207]:\tstep: 43370\tsteps/sec: 1.15423\tloss: 0.61020\tlr:[2.0549338e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:37,319 [    hooks.py:  207]:\tstep: 43380\tsteps/sec: 1.19785\tloss: 0.66327\tlr:[2.0542551e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:48,075 [    hooks.py:  207]:\tstep: 43390\tsteps/sec: 0.92112\tloss: 0.36885\tlr:[2.053576e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:34:55,515 [    hooks.py:  207]:\tstep: 43400\tsteps/sec: 1.38493\tloss: 0.43700\tlr:[2.0528969e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:35:04,638 [    hooks.py:  207]:\tstep: 43410\tsteps/sec: 1.07795\tloss: 0.29776\tlr:[2.0522179e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:35:11,460 [    hooks.py:  207]:\tstep: 43420\tsteps/sec: 1.52869\tloss: 0.39793\tlr:[2.0515388e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:35:21,287 [    hooks.py:  207]:\tstep: 43430\tsteps/sec: 1.01722\tloss: 0.67414\tlr:[2.0508596e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:35:30,132 [    hooks.py:  207]:\tstep: 43440\tsteps/sec: 1.07625\tloss: 0.42078\tlr:[2.0501808e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:35:38,690 [    hooks.py:  207]:\tstep: 43450\tsteps/sec: 1.14589\tloss: 0.31017\tlr:[2.0495016e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:36:15,276 [    hooks.py:  207]:\tstep: 43490\tsteps/sec: 1.02184\tloss: 0.54425\tlr:[2.0467854e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:36:24,228 [    hooks.py:  207]:\tstep: 43500\tsteps/sec: 1.08781\tloss: 0.48543\tlr:[2.046106e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:37:07,552 [    hooks.py:  207]:\tstep: 43550\tsteps/sec: 1.06561\tloss: 0.59679\tlr:[2.0427111e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:37:22,713 [    hooks.py:  207]:\tstep: 43570\tsteps/sec: 1.31749\tloss: 0.39704\tlr:[2.0413529e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:37:29,313 [    hooks.py:  207]:\tstep: 43580\tsteps/sec: 1.50811\tloss: 0.28172\tlr:[2.0406738e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:37:37,763 [    hooks.py:  207]:\tstep: 43590\tsteps/sec: 1.14856\tloss: 0.38701\tlr:[2.0399946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:37:48,187 [    hooks.py:  207]:\tstep: 43600\tsteps/sec: 0.99461\tloss: 0.97326\tlr:[2.0393156e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:37:57,453 [    hooks.py:  207]:\tstep: 43610\tsteps/sec: 1.03228\tloss: 0.48340\tlr:[2.0386366e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:38:05,833 [    hooks.py:  207]:\tstep: 43620\tsteps/sec: 1.29569\tloss: 0.25632\tlr:[2.0379575e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:38:23,899 [    hooks.py:  207]:\tstep: 43640\tsteps/sec: 1.16487\tloss: 0.74178\tlr:[2.0365993e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:38:31,362 [    hooks.py:  207]:\tstep: 43650\tsteps/sec: 1.31688\tloss: 0.47684\tlr:[2.0359203e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:38:41,276 [    hooks.py:  207]:\tstep: 43660\tsteps/sec: 1.05554\tloss: 0.36712\tlr:[2.0352412e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:38:49,559 [    hooks.py:  207]:\tstep: 43670\tsteps/sec: 1.15435\tloss: 0.57028\tlr:[2.0345622e-05]\u001b[0m\n"
     ]
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      "\u001b[37m[DEBUG] 2019-09-19 08:38:57,185 [    hooks.py:  207]:\tstep: 43680\tsteps/sec: 1.33485\tloss: 0.31375\tlr:[2.0338834e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:39:43,857 [    hooks.py:  207]:\tstep: 43740\tsteps/sec: 1.30287\tloss: 0.34631\tlr:[2.0298092e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:40:15,420 [    hooks.py:  207]:\tstep: 43780\tsteps/sec: 1.20997\tloss: 0.11687\tlr:[2.0270927e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:40:23,394 [    hooks.py:  207]:\tstep: 43790\tsteps/sec: 1.22813\tloss: 0.59710\tlr:[2.0264139e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:40:31,220 [    hooks.py:  207]:\tstep: 43800\tsteps/sec: 1.26519\tloss: 0.70923\tlr:[2.0257346e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:40:41,195 [    hooks.py:  207]:\tstep: 43810\tsteps/sec: 1.00146\tloss: 0.52306\tlr:[2.0250556e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:41:30,393 [    hooks.py:  207]:\tstep: 43870\tsteps/sec: 1.10441\tloss: 0.68311\tlr:[2.0209813e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:41:38,642 [    hooks.py:  207]:\tstep: 43880\tsteps/sec: 1.16435\tloss: 0.12717\tlr:[2.020302e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:41:48,296 [    hooks.py:  207]:\tstep: 43890\tsteps/sec: 1.04102\tloss: 0.45920\tlr:[2.0196234e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:41:56,030 [    hooks.py:  207]:\tstep: 43900\tsteps/sec: 1.33200\tloss: 0.28816\tlr:[2.018944e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:05,757 [    hooks.py:  207]:\tstep: 43910\tsteps/sec: 1.03354\tloss: 0.79325\tlr:[2.0182648e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:12,603 [    hooks.py:  207]:\tstep: 43920\tsteps/sec: 1.38942\tloss: 0.77944\tlr:[2.0175861e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:22,225 [    hooks.py:  207]:\tstep: 43930\tsteps/sec: 1.06151\tloss: 0.41022\tlr:[2.016907e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:30,519 [    hooks.py:  207]:\tstep: 43940\tsteps/sec: 1.22334\tloss: 0.48092\tlr:[2.0162279e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:40,962 [    hooks.py:  207]:\tstep: 43950\tsteps/sec: 0.96681\tloss: 0.45226\tlr:[2.0155487e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:48,696 [    hooks.py:  207]:\tstep: 43960\tsteps/sec: 1.25120\tloss: 0.76411\tlr:[2.0148696e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:42:55,746 [    hooks.py:  207]:\tstep: 43970\tsteps/sec: 1.45649\tloss: 0.18442\tlr:[2.0141906e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:03,090 [    hooks.py:  207]:\tstep: 43980\tsteps/sec: 1.39897\tloss: 0.59976\tlr:[2.0135116e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:10,642 [    hooks.py:  207]:\tstep: 43990\tsteps/sec: 1.28280\tloss: 0.54836\tlr:[2.0128324e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:18,717 [    hooks.py:  207]:\tstep: 44000\tsteps/sec: 1.15440\tloss: 0.25020\tlr:[2.0121535e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:18,718 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:18,718 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:18,718 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 08:43:18,718 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:18,718 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c96fe10>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:43:18,719 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83fa1a90>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 08:51:22,269 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,270 [  trainer.py:   58]:\t{'acc': 0.7819277108433735, 'loss': 0.5945944198622153}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,271 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,272 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 08:51:22,272 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 08:51:22,272 [  trainer.py:   70]:\tacc\t0.7819277108433735\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 08:51:22,272 [  trainer.py:   70]:\tloss\t0.5945944198622153\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 08:51:22,272 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,272 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7819277108433735, 'loss': 0.5945944198622153}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,272 [ exporter.py:   64]:\t[Best Exporter]: skip step 44000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,273 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7819277108433735, 'loss': 0.5945944198622153}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,273 [ exporter.py:  104]:\t[Best Exporter]: skip step 44000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:22,274 [monitored_executor.py:  122]:\tsaving step 44000 to ./output/model_44000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:25,470 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_41000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:33,241 [    hooks.py:  207]:\tstep: 44010\tsteps/sec: 0.02024\tloss: 0.53003\tlr:[2.0114743e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:43,537 [    hooks.py:  207]:\tstep: 44020\tsteps/sec: 0.97391\tloss: 0.35818\tlr:[2.0107955e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:51:53,408 [    hooks.py:  207]:\tstep: 44030\tsteps/sec: 1.00080\tloss: 0.69287\tlr:[2.0101164e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:03,170 [    hooks.py:  207]:\tstep: 44040\tsteps/sec: 1.09555\tloss: 0.76589\tlr:[2.0094374e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:09,461 [    hooks.py:  207]:\tstep: 44050\tsteps/sec: 1.39016\tloss: 0.84515\tlr:[2.0087582e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:18,856 [    hooks.py:  207]:\tstep: 44060\tsteps/sec: 1.10843\tloss: 0.39045\tlr:[2.0080792e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:27,372 [    hooks.py:  207]:\tstep: 44070\tsteps/sec: 1.16466\tloss: 0.40807\tlr:[2.0074001e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:36,961 [    hooks.py:  207]:\tstep: 44080\tsteps/sec: 1.06555\tloss: 0.52170\tlr:[2.006721e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:46,954 [    hooks.py:  207]:\tstep: 44090\tsteps/sec: 0.97469\tloss: 0.40015\tlr:[2.006042e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:52:55,503 [    hooks.py:  207]:\tstep: 44100\tsteps/sec: 1.16155\tloss: 0.29567\tlr:[2.0053629e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:53:04,977 [    hooks.py:  207]:\tstep: 44110\tsteps/sec: 1.07682\tloss: 0.26186\tlr:[2.0046842e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:53:13,923 [    hooks.py:  207]:\tstep: 44120\tsteps/sec: 1.12191\tloss: 0.09809\tlr:[2.004005e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:53:22,242 [    hooks.py:  207]:\tstep: 44130\tsteps/sec: 1.21096\tloss: 0.53633\tlr:[2.003326e-05]\u001b[0m\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 08:53:30,276 [    hooks.py:  207]:\tstep: 44140\tsteps/sec: 1.25935\tloss: 0.46256\tlr:[2.0026468e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:55:57,940 [    hooks.py:  207]:\tstep: 44310\tsteps/sec: 1.10076\tloss: 0.23394\tlr:[1.9911027e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:56:05,844 [    hooks.py:  207]:\tstep: 44320\tsteps/sec: 1.33128\tloss: 0.87708\tlr:[1.9904237e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:56:14,888 [    hooks.py:  207]:\tstep: 44330\tsteps/sec: 1.07556\tloss: 0.69390\tlr:[1.9897445e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:56:23,111 [    hooks.py:  207]:\tstep: 44340\tsteps/sec: 1.20885\tloss: 0.33705\tlr:[1.9890656e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:56:31,943 [    hooks.py:  207]:\tstep: 44350\tsteps/sec: 1.12257\tloss: 0.51944\tlr:[1.9883864e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 08:57:22,294 [    hooks.py:  207]:\tstep: 44410\tsteps/sec: 0.91920\tloss: 0.60818\tlr:[1.9843123e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:57:30,897 [    hooks.py:  207]:\tstep: 44420\tsteps/sec: 1.10975\tloss: 0.57050\tlr:[1.983633e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:57:39,573 [    hooks.py:  207]:\tstep: 44430\tsteps/sec: 1.12397\tloss: 0.31306\tlr:[1.982954e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:57:51,053 [    hooks.py:  207]:\tstep: 44440\tsteps/sec: 0.89161\tloss: 0.32635\tlr:[1.982275e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:58:00,387 [    hooks.py:  207]:\tstep: 44450\tsteps/sec: 1.11476\tloss: 0.67473\tlr:[1.981596e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 08:58:09,317 [    hooks.py:  207]:\tstep: 44460\tsteps/sec: 1.09137\tloss: 0.44976\tlr:[1.980917e-05]\u001b[0m\n",
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:36:30,859 [    hooks.py:  207]:\tstep: 46020\tsteps/sec: 1.30306\tloss: 0.58037\tlr:[1.874984e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:36:39,352 [    hooks.py:  207]:\tstep: 46030\tsteps/sec: 1.20339\tloss: 0.38571\tlr:[1.874305e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:36:47,816 [    hooks.py:  207]:\tstep: 46040\tsteps/sec: 1.22792\tloss: 0.57116\tlr:[1.873626e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:36:56,964 [    hooks.py:  207]:\tstep: 46050\tsteps/sec: 1.10393\tloss: 0.26001\tlr:[1.8729468e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:37:06,765 [    hooks.py:  207]:\tstep: 46060\tsteps/sec: 0.99752\tloss: 0.38964\tlr:[1.8722681e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:37:15,105 [    hooks.py:  207]:\tstep: 46070\tsteps/sec: 1.18670\tloss: 0.80924\tlr:[1.871589e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:37:22,578 [    hooks.py:  207]:\tstep: 46080\tsteps/sec: 1.36295\tloss: 0.38007\tlr:[1.87091e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:37:30,803 [    hooks.py:  207]:\tstep: 46090\tsteps/sec: 1.19908\tloss: 0.28955\tlr:[1.8702309e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:37:38,564 [    hooks.py:  207]:\tstep: 46100\tsteps/sec: 1.22647\tloss: 0.13643\tlr:[1.8695519e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:37:48,707 [    hooks.py:  207]:\tstep: 46110\tsteps/sec: 1.01700\tloss: 0.56892\tlr:[1.8688726e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:38:00,069 [    hooks.py:  207]:\tstep: 46120\tsteps/sec: 0.86351\tloss: 0.19472\tlr:[1.8681934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:38:08,640 [    hooks.py:  207]:\tstep: 46130\tsteps/sec: 1.15903\tloss: 0.06948\tlr:[1.8675146e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:38:16,306 [    hooks.py:  207]:\tstep: 46140\tsteps/sec: 1.38510\tloss: 0.54459\tlr:[1.8668354e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 09:38:34,438 [    hooks.py:  207]:\tstep: 46160\tsteps/sec: 1.00609\tloss: 0.45551\tlr:[1.8654771e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:38:41,750 [    hooks.py:  207]:\tstep: 46170\tsteps/sec: 1.41500\tloss: 0.43646\tlr:[1.8647983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:38:48,803 [    hooks.py:  207]:\tstep: 46180\tsteps/sec: 1.37534\tloss: 0.52712\tlr:[1.864119e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 09:39:24,859 [    hooks.py:  207]:\tstep: 46220\tsteps/sec: 1.04631\tloss: 0.93153\tlr:[1.861403e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:39:32,664 [    hooks.py:  207]:\tstep: 46230\tsteps/sec: 1.36467\tloss: 0.37703\tlr:[1.8607241e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:39:41,889 [    hooks.py:  207]:\tstep: 46240\tsteps/sec: 1.09817\tloss: 0.81874\tlr:[1.8600449e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:39:49,959 [    hooks.py:  207]:\tstep: 46250\tsteps/sec: 1.18843\tloss: 0.48312\tlr:[1.8593659e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:39:57,183 [    hooks.py:  207]:\tstep: 46260\tsteps/sec: 1.45690\tloss: 0.42260\tlr:[1.8586868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:40:04,592 [    hooks.py:  207]:\tstep: 46270\tsteps/sec: 1.24781\tloss: 0.42217\tlr:[1.8580076e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:40:12,912 [    hooks.py:  207]:\tstep: 46280\tsteps/sec: 1.27865\tloss: 0.10518\tlr:[1.8573286e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:40:21,918 [    hooks.py:  207]:\tstep: 46290\tsteps/sec: 1.11691\tloss: 0.22620\tlr:[1.8566494e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:40:29,528 [    hooks.py:  207]:\tstep: 46300\tsteps/sec: 1.21837\tloss: 0.53937\tlr:[1.8559705e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:40:39,949 [    hooks.py:  207]:\tstep: 46310\tsteps/sec: 0.99090\tloss: 0.60156\tlr:[1.8552913e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 09:40:48,826 [    hooks.py:  207]:\tstep: 46320\tsteps/sec: 1.07502\tloss: 0.94310\tlr:[1.8546125e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 09:49:31,532 [    hooks.py:  207]:\tstep: 46920\tsteps/sec: 0.98268\tloss: 0.18646\tlr:[1.8138693e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:49:41,166 [    hooks.py:  207]:\tstep: 46930\tsteps/sec: 1.05739\tloss: 0.43811\tlr:[1.81319e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:49:51,493 [    hooks.py:  207]:\tstep: 46940\tsteps/sec: 0.97751\tloss: 0.56070\tlr:[1.8125113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:00,618 [    hooks.py:  207]:\tstep: 46950\tsteps/sec: 1.09162\tloss: 0.39891\tlr:[1.811832e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:08,181 [    hooks.py:  207]:\tstep: 46960\tsteps/sec: 1.34719\tloss: 0.60344\tlr:[1.811153e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 09:50:18,373 [    hooks.py:  207]:\tstep: 46970\tsteps/sec: 0.93918\tloss: 0.26965\tlr:[1.8104738e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:27,786 [    hooks.py:  207]:\tstep: 46980\tsteps/sec: 1.12374\tloss: 0.27166\tlr:[1.8097948e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:34,236 [    hooks.py:  207]:\tstep: 46990\tsteps/sec: 1.41837\tloss: 0.34891\tlr:[1.8091157e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:43,576 [    hooks.py:  207]:\tstep: 47000\tsteps/sec: 1.12039\tloss: 0.22786\tlr:[1.8084369e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:43,577 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:43,577 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:43,577 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 09:50:43,577 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:43,578 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c7d1e10>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:50:43,578 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c7d1f98>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 09:58:47,037 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,038 [  trainer.py:   58]:\t{'acc': 0.7674698795180723, 'loss': 0.6217247162682887}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,039 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,040 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 09:58:47,040 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 09:58:47,040 [  trainer.py:   70]:\tacc\t0.7674698795180723\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 09:58:47,040 [  trainer.py:   70]:\tloss\t0.6217247162682887\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 09:58:47,041 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,041 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7674698795180723, 'loss': 0.6217247162682887}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,041 [ exporter.py:   64]:\t[Best Exporter]: skip step 47000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,041 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7674698795180723, 'loss': 0.6217247162682887}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,041 [ exporter.py:  104]:\t[Best Exporter]: skip step 47000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:47,042 [monitored_executor.py:  122]:\tsaving step 47000 to ./output/model_47000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:50,272 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_44000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:58:58,865 [    hooks.py:  207]:\tstep: 47010\tsteps/sec: 0.02020\tloss: 0.74304\tlr:[1.8077577e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:08,814 [    hooks.py:  207]:\tstep: 47020\tsteps/sec: 1.00006\tloss: 0.62848\tlr:[1.8070783e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:16,956 [    hooks.py:  207]:\tstep: 47030\tsteps/sec: 1.22916\tloss: 0.71216\tlr:[1.8063996e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:24,752 [    hooks.py:  207]:\tstep: 47040\tsteps/sec: 1.24826\tloss: 0.32294\tlr:[1.8057202e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:32,906 [    hooks.py:  207]:\tstep: 47050\tsteps/sec: 1.27769\tloss: 0.41060\tlr:[1.8050414e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:40,624 [    hooks.py:  207]:\tstep: 47060\tsteps/sec: 1.20787\tloss: 0.33574\tlr:[1.8043624e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:48,953 [    hooks.py:  207]:\tstep: 47070\tsteps/sec: 1.26229\tloss: 0.35177\tlr:[1.8036833e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 09:59:56,448 [    hooks.py:  207]:\tstep: 47080\tsteps/sec: 1.24574\tloss: 0.27777\tlr:[1.8030041e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:06,561 [    hooks.py:  207]:\tstep: 47090\tsteps/sec: 1.02535\tloss: 0.65348\tlr:[1.8023253e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:15,595 [    hooks.py:  207]:\tstep: 47100\tsteps/sec: 1.11319\tloss: 0.21102\tlr:[1.801646e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:22,592 [    hooks.py:  207]:\tstep: 47110\tsteps/sec: 1.42453\tloss: 0.90391\tlr:[1.8009672e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:32,682 [    hooks.py:  207]:\tstep: 47120\tsteps/sec: 1.01895\tloss: 0.48261\tlr:[1.800288e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:40,944 [    hooks.py:  207]:\tstep: 47130\tsteps/sec: 1.13850\tloss: 0.28921\tlr:[1.799609e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:49,955 [    hooks.py:  207]:\tstep: 47140\tsteps/sec: 1.10291\tloss: 0.41500\tlr:[1.79893e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:00:59,582 [    hooks.py:  207]:\tstep: 47150\tsteps/sec: 1.04161\tloss: 0.90525\tlr:[1.7982507e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:09,554 [    hooks.py:  207]:\tstep: 47160\tsteps/sec: 1.02651\tloss: 0.66665\tlr:[1.7975719e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:16,079 [    hooks.py:  207]:\tstep: 47170\tsteps/sec: 1.45350\tloss: 0.29955\tlr:[1.7968925e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:24,112 [    hooks.py:  207]:\tstep: 47180\tsteps/sec: 1.32495\tloss: 0.52198\tlr:[1.7962138e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:30,850 [    hooks.py:  207]:\tstep: 47190\tsteps/sec: 1.40247\tloss: 0.34714\tlr:[1.7955346e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:40,197 [    hooks.py:  207]:\tstep: 47200\tsteps/sec: 1.07103\tloss: 0.49231\tlr:[1.7948558e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:49,179 [    hooks.py:  207]:\tstep: 47210\tsteps/sec: 1.15780\tloss: 0.26476\tlr:[1.7941766e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:01:58,454 [    hooks.py:  207]:\tstep: 47220\tsteps/sec: 1.11354\tloss: 0.35657\tlr:[1.7934975e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:05,763 [    hooks.py:  207]:\tstep: 47230\tsteps/sec: 1.30830\tloss: 0.38882\tlr:[1.7928183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:13,868 [    hooks.py:  207]:\tstep: 47240\tsteps/sec: 1.24070\tloss: 0.50055\tlr:[1.7921395e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:23,384 [    hooks.py:  207]:\tstep: 47250\tsteps/sec: 1.08422\tloss: 0.33388\tlr:[1.7914603e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:31,572 [    hooks.py:  207]:\tstep: 47260\tsteps/sec: 1.18836\tloss: 0.46056\tlr:[1.7907814e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:38,955 [    hooks.py:  207]:\tstep: 47270\tsteps/sec: 1.36619\tloss: 0.54897\tlr:[1.7901022e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:46,019 [    hooks.py:  207]:\tstep: 47280\tsteps/sec: 1.39056\tloss: 0.56509\tlr:[1.7894234e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:02:54,736 [    hooks.py:  207]:\tstep: 47290\tsteps/sec: 1.13682\tloss: 0.59621\tlr:[1.7887442e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:05,320 [    hooks.py:  207]:\tstep: 47300\tsteps/sec: 0.95290\tloss: 0.50909\tlr:[1.7880648e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:13,875 [    hooks.py:  207]:\tstep: 47310\tsteps/sec: 1.18483\tloss: 0.48036\tlr:[1.787386e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:21,377 [    hooks.py:  207]:\tstep: 47320\tsteps/sec: 1.23798\tloss: 0.70484\tlr:[1.7867069e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:32,737 [    hooks.py:  207]:\tstep: 47330\tsteps/sec: 0.90573\tloss: 0.43336\tlr:[1.7860279e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:40,477 [    hooks.py:  207]:\tstep: 47340\tsteps/sec: 1.30398\tloss: 0.43773\tlr:[1.7853486e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:50,860 [    hooks.py:  207]:\tstep: 47350\tsteps/sec: 0.96769\tloss: 0.55479\tlr:[1.7846696e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:03:58,381 [    hooks.py:  207]:\tstep: 47360\tsteps/sec: 1.36773\tloss: 0.32219\tlr:[1.7839906e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:04:06,650 [    hooks.py:  207]:\tstep: 47370\tsteps/sec: 1.18990\tloss: 0.49031\tlr:[1.7833116e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:04:13,226 [    hooks.py:  207]:\tstep: 47380\tsteps/sec: 1.54224\tloss: 0.86436\tlr:[1.7826324e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:04:20,447 [    hooks.py:  207]:\tstep: 47390\tsteps/sec: 1.34914\tloss: 0.63334\tlr:[1.7819535e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:04:30,888 [    hooks.py:  207]:\tstep: 47400\tsteps/sec: 1.02957\tloss: 0.61395\tlr:[1.7812745e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:04:39,410 [    hooks.py:  207]:\tstep: 47410\tsteps/sec: 1.08308\tloss: 0.39524\tlr:[1.7805954e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:04:47,456 [    hooks.py:  207]:\tstep: 47420\tsteps/sec: 1.27480\tloss: 0.56640\tlr:[1.7799162e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 10:04:54,470 [    hooks.py:  207]:\tstep: 47430\tsteps/sec: 1.37895\tloss: 0.51404\tlr:[1.7792374e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:05:05,155 [    hooks.py:  207]:\tstep: 47440\tsteps/sec: 0.93383\tloss: 0.44998\tlr:[1.7785584e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:05:48,717 [    hooks.py:  207]:\tstep: 47490\tsteps/sec: 1.18910\tloss: 0.53400\tlr:[1.7751629e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:05:56,809 [    hooks.py:  207]:\tstep: 47500\tsteps/sec: 1.26662\tloss: 0.15906\tlr:[1.774484e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:06:05,039 [    hooks.py:  207]:\tstep: 47510\tsteps/sec: 1.19338\tloss: 0.33807\tlr:[1.7738048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:06:13,208 [    hooks.py:  207]:\tstep: 47520\tsteps/sec: 1.27290\tloss: 0.29612\tlr:[1.773126e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:06:21,957 [    hooks.py:  207]:\tstep: 47530\tsteps/sec: 1.13698\tloss: 0.59158\tlr:[1.7724466e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:06:41,084 [    hooks.py:  207]:\tstep: 47550\tsteps/sec: 0.94932\tloss: 0.48627\tlr:[1.7710885e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:07:06,242 [    hooks.py:  207]:\tstep: 47580\tsteps/sec: 1.25249\tloss: 0.25947\tlr:[1.7690516e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:07:14,922 [    hooks.py:  207]:\tstep: 47590\tsteps/sec: 1.16452\tloss: 0.22083\tlr:[1.7683724e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:07:25,053 [    hooks.py:  207]:\tstep: 47600\tsteps/sec: 1.02098\tloss: 0.90155\tlr:[1.767693e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:07:34,483 [    hooks.py:  207]:\tstep: 47610\tsteps/sec: 1.01662\tloss: 0.54110\tlr:[1.7670141e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:07:43,698 [    hooks.py:  207]:\tstep: 47620\tsteps/sec: 1.16492\tloss: 0.74106\tlr:[1.766335e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:07:52,776 [    hooks.py:  207]:\tstep: 47630\tsteps/sec: 1.10154\tloss: 0.61227\tlr:[1.765656e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:08:00,379 [    hooks.py:  207]:\tstep: 47640\tsteps/sec: 1.35292\tloss: 0.42981\tlr:[1.7649769e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:08:08,685 [    hooks.py:  207]:\tstep: 47650\tsteps/sec: 1.17556\tloss: 0.51040\tlr:[1.764298e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:09:18,928 [    hooks.py:  207]:\tstep: 47730\tsteps/sec: 1.20807\tloss: 0.25796\tlr:[1.7588658e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:09:26,308 [    hooks.py:  207]:\tstep: 47740\tsteps/sec: 1.34665\tloss: 0.59141\tlr:[1.7581864e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:09:35,636 [    hooks.py:  207]:\tstep: 47750\tsteps/sec: 1.11176\tloss: 0.66069\tlr:[1.7575074e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:09:44,472 [    hooks.py:  207]:\tstep: 47760\tsteps/sec: 1.12173\tloss: 0.29256\tlr:[1.7568285e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:09:52,655 [    hooks.py:  207]:\tstep: 47770\tsteps/sec: 1.22641\tloss: 0.29396\tlr:[1.7561493e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:02,741 [    hooks.py:  207]:\tstep: 47780\tsteps/sec: 1.01926\tloss: 0.30751\tlr:[1.7554705e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:14,021 [    hooks.py:  207]:\tstep: 47790\tsteps/sec: 0.93450\tloss: 0.21350\tlr:[1.7547913e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:22,205 [    hooks.py:  207]:\tstep: 47800\tsteps/sec: 1.12234\tloss: 0.59803\tlr:[1.7541124e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:30,346 [    hooks.py:  207]:\tstep: 47810\tsteps/sec: 1.21995\tloss: 0.60989\tlr:[1.7534332e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:39,515 [    hooks.py:  207]:\tstep: 47820\tsteps/sec: 1.08399\tloss: 0.59833\tlr:[1.7527542e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:46,162 [    hooks.py:  207]:\tstep: 47830\tsteps/sec: 1.48913\tloss: 0.58001\tlr:[1.7520751e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:10:54,652 [    hooks.py:  207]:\tstep: 47840\tsteps/sec: 1.19894\tloss: 0.58433\tlr:[1.751396e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:03,235 [    hooks.py:  207]:\tstep: 47850\tsteps/sec: 1.20644\tloss: 0.71072\tlr:[1.750717e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:13,347 [    hooks.py:  207]:\tstep: 47860\tsteps/sec: 0.99556\tloss: 0.65280\tlr:[1.7500379e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:21,018 [    hooks.py:  207]:\tstep: 47870\tsteps/sec: 1.25559\tloss: 0.68861\tlr:[1.7493587e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:27,873 [    hooks.py:  207]:\tstep: 47880\tsteps/sec: 1.48314\tloss: 0.57745\tlr:[1.7486796e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:37,401 [    hooks.py:  207]:\tstep: 47890\tsteps/sec: 1.04512\tloss: 0.85445\tlr:[1.7480006e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:46,534 [    hooks.py:  207]:\tstep: 47900\tsteps/sec: 1.06996\tloss: 0.33820\tlr:[1.7473214e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:11:56,052 [    hooks.py:  207]:\tstep: 47910\tsteps/sec: 1.05491\tloss: 0.60273\tlr:[1.7466424e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:02,896 [    hooks.py:  207]:\tstep: 47920\tsteps/sec: 1.51074\tloss: 0.43619\tlr:[1.7459632e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:10,585 [    hooks.py:  207]:\tstep: 47930\tsteps/sec: 1.26380\tloss: 0.62263\tlr:[1.7452845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:18,589 [    hooks.py:  207]:\tstep: 47940\tsteps/sec: 1.38579\tloss: 0.30119\tlr:[1.7446053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:26,035 [    hooks.py:  207]:\tstep: 47950\tsteps/sec: 1.19867\tloss: 0.27320\tlr:[1.7439264e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:36,068 [    hooks.py:  207]:\tstep: 47960\tsteps/sec: 1.00598\tloss: 0.29503\tlr:[1.743247e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:43,281 [    hooks.py:  207]:\tstep: 47970\tsteps/sec: 1.44257\tloss: 0.40088\tlr:[1.7425682e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:12:50,402 [    hooks.py:  207]:\tstep: 47980\tsteps/sec: 1.34252\tloss: 0.11674\tlr:[1.741889e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:00,620 [    hooks.py:  207]:\tstep: 47990\tsteps/sec: 1.23261\tloss: 0.56938\tlr:[1.7412101e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:09,516 [    hooks.py:  207]:\tstep: 48000\tsteps/sec: 0.91520\tloss: 0.74720\tlr:[1.740531e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:09,516 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:09,517 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:09,517 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:13:09,517 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:09,517 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf6060d898>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:13:09,517 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c7d1f98>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:21:08,737 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,739 [  trainer.py:   58]:\t{'acc': 0.7803212851405622, 'loss': 0.5845942366390656}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,739 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,740 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:21:08,740 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:21:08,740 [  trainer.py:   70]:\tacc\t0.7803212851405622\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:21:08,740 [  trainer.py:   70]:\tloss\t0.5845942366390656\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:21:08,740 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,740 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7803212851405622, 'loss': 0.5845942366390656}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,741 [ exporter.py:   64]:\t[Best Exporter]: skip step 48000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,741 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7803212851405622, 'loss': 0.5845942366390656}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,741 [ exporter.py:  104]:\t[Best Exporter]: skip step 48000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:08,742 [monitored_executor.py:  122]:\tsaving step 48000 to ./output/model_48000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 10:21:12,522 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_45000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:21,673 [    hooks.py:  207]:\tstep: 48010\tsteps/sec: 0.02032\tloss: 0.36003\tlr:[1.739852e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:30,328 [    hooks.py:  207]:\tstep: 48020\tsteps/sec: 1.14979\tloss: 0.71991\tlr:[1.7391729e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:39,426 [    hooks.py:  207]:\tstep: 48030\tsteps/sec: 1.11433\tloss: 0.64022\tlr:[1.738494e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:48,396 [    hooks.py:  207]:\tstep: 48040\tsteps/sec: 1.12410\tloss: 0.30861\tlr:[1.7378148e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:21:56,225 [    hooks.py:  207]:\tstep: 48050\tsteps/sec: 1.24085\tloss: 0.51936\tlr:[1.7371356e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:22:04,677 [    hooks.py:  207]:\tstep: 48060\tsteps/sec: 1.17353\tloss: 0.56922\tlr:[1.736457e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:22:14,315 [    hooks.py:  207]:\tstep: 48070\tsteps/sec: 1.00619\tloss: 0.51021\tlr:[1.7357776e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:22:57,799 [    hooks.py:  207]:\tstep: 48120\tsteps/sec: 1.18790\tloss: 0.37497\tlr:[1.7323824e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:23:45,256 [    hooks.py:  207]:\tstep: 48170\tsteps/sec: 0.84195\tloss: 0.57353\tlr:[1.728987e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:23:53,249 [    hooks.py:  207]:\tstep: 48180\tsteps/sec: 1.30729\tloss: 0.67961\tlr:[1.7283079e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:24:03,026 [    hooks.py:  207]:\tstep: 48190\tsteps/sec: 1.00907\tloss: 0.21662\tlr:[1.727629e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:24:09,815 [    hooks.py:  207]:\tstep: 48200\tsteps/sec: 1.42585\tloss: 0.46978\tlr:[1.7269498e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:24:18,631 [    hooks.py:  207]:\tstep: 48210\tsteps/sec: 1.17500\tloss: 0.51384\tlr:[1.7262708e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:24:27,616 [    hooks.py:  207]:\tstep: 48220\tsteps/sec: 1.10057\tloss: 0.45266\tlr:[1.7255918e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:25:06,308 [    hooks.py:  207]:\tstep: 48260\tsteps/sec: 1.02186\tloss: 0.18347\tlr:[1.7228753e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:25:23,282 [    hooks.py:  207]:\tstep: 48280\tsteps/sec: 1.46902\tloss: 0.35509\tlr:[1.7215174e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:25:44,227 [    hooks.py:  207]:\tstep: 48300\tsteps/sec: 0.99759\tloss: 0.73638\tlr:[1.7201593e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:25:51,012 [    hooks.py:  207]:\tstep: 48310\tsteps/sec: 1.43641\tloss: 0.36383\tlr:[1.7194805e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:00,858 [    hooks.py:  207]:\tstep: 48320\tsteps/sec: 1.06224\tloss: 0.50720\tlr:[1.7188013e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:09,971 [    hooks.py:  207]:\tstep: 48330\tsteps/sec: 1.04450\tloss: 0.42979\tlr:[1.718122e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:20,101 [    hooks.py:  207]:\tstep: 48340\tsteps/sec: 0.95804\tloss: 0.42888\tlr:[1.717443e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:29,000 [    hooks.py:  207]:\tstep: 48350\tsteps/sec: 1.22482\tloss: 0.59659\tlr:[1.716764e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:35,247 [    hooks.py:  207]:\tstep: 48360\tsteps/sec: 1.48400\tloss: 0.21515\tlr:[1.716085e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:44,755 [    hooks.py:  207]:\tstep: 48370\tsteps/sec: 1.06791\tloss: 0.43799\tlr:[1.7154058e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:26:51,818 [    hooks.py:  207]:\tstep: 48380\tsteps/sec: 1.41412\tloss: 0.45021\tlr:[1.7147271e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:01,024 [    hooks.py:  207]:\tstep: 48390\tsteps/sec: 1.08983\tloss: 0.34134\tlr:[1.7140477e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:08,896 [    hooks.py:  207]:\tstep: 48400\tsteps/sec: 1.29508\tloss: 0.75302\tlr:[1.713369e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:21,289 [    hooks.py:  207]:\tstep: 48410\tsteps/sec: 0.77160\tloss: 0.43177\tlr:[1.7126897e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:31,165 [    hooks.py:  207]:\tstep: 48420\tsteps/sec: 1.04239\tloss: 0.18303\tlr:[1.7120108e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:40,019 [    hooks.py:  207]:\tstep: 48430\tsteps/sec: 1.13250\tloss: 0.51625\tlr:[1.7113318e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:47,296 [    hooks.py:  207]:\tstep: 48440\tsteps/sec: 1.38218\tloss: 0.70819\tlr:[1.7106528e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:27:55,185 [    hooks.py:  207]:\tstep: 48450\tsteps/sec: 1.26251\tloss: 0.50063\tlr:[1.7099735e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:03,187 [    hooks.py:  207]:\tstep: 48460\tsteps/sec: 1.28892\tloss: 0.17637\tlr:[1.7092947e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:12,535 [    hooks.py:  207]:\tstep: 48470\tsteps/sec: 1.05118\tloss: 0.09912\tlr:[1.7086153e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:21,767 [    hooks.py:  207]:\tstep: 48480\tsteps/sec: 1.03765\tloss: 0.21742\tlr:[1.7079363e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:31,254 [    hooks.py:  207]:\tstep: 48490\tsteps/sec: 1.09682\tloss: 0.29433\tlr:[1.7072574e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:39,186 [    hooks.py:  207]:\tstep: 48500\tsteps/sec: 1.31087\tloss: 0.31475\tlr:[1.706578e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:46,226 [    hooks.py:  207]:\tstep: 48510\tsteps/sec: 1.34893\tloss: 0.39517\tlr:[1.7058992e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:28:55,546 [    hooks.py:  207]:\tstep: 48520\tsteps/sec: 1.06713\tloss: 0.42684\tlr:[1.7052202e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:29:04,940 [    hooks.py:  207]:\tstep: 48530\tsteps/sec: 1.08193\tloss: 0.49722\tlr:[1.7045411e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:29:14,187 [    hooks.py:  207]:\tstep: 48540\tsteps/sec: 1.11007\tloss: 0.58547\tlr:[1.703862e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:29:22,298 [    hooks.py:  207]:\tstep: 48550\tsteps/sec: 1.20233\tloss: 0.41718\tlr:[1.703183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:29:37,480 [    hooks.py:  207]:\tstep: 48560\tsteps/sec: 1.54249\tloss: 0.23598\tlr:[1.7025039e-05]\u001b[0m\n",
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     ]
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 10:30:54,871 [    hooks.py:  207]:\tstep: 48650\tsteps/sec: 1.21060\tloss: 0.25743\tlr:[1.6963922e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:32:29,940 [    hooks.py:  207]:\tstep: 48760\tsteps/sec: 1.16575\tloss: 0.37771\tlr:[1.688923e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:32:40,806 [    hooks.py:  207]:\tstep: 48770\tsteps/sec: 0.95193\tloss: 0.20913\tlr:[1.6882437e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:32:47,700 [    hooks.py:  207]:\tstep: 48780\tsteps/sec: 1.48427\tloss: 0.25924\tlr:[1.6875645e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:32:56,279 [    hooks.py:  207]:\tstep: 48790\tsteps/sec: 1.15113\tloss: 0.41849\tlr:[1.6868858e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:33:50,344 [    hooks.py:  207]:\tstep: 48850\tsteps/sec: 1.17919\tloss: 0.60937\tlr:[1.6828113e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:00,317 [    hooks.py:  207]:\tstep: 48860\tsteps/sec: 1.04597\tloss: 0.46446\tlr:[1.6821323e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:09,623 [    hooks.py:  207]:\tstep: 48870\tsteps/sec: 1.05453\tloss: 0.16485\tlr:[1.6814533e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:17,616 [    hooks.py:  207]:\tstep: 48880\tsteps/sec: 1.22443\tloss: 0.37560\tlr:[1.680774e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:26,396 [    hooks.py:  207]:\tstep: 48890\tsteps/sec: 1.13489\tloss: 0.46372\tlr:[1.6800954e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:35,017 [    hooks.py:  207]:\tstep: 48900\tsteps/sec: 1.16204\tloss: 0.37130\tlr:[1.6794162e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:41,706 [    hooks.py:  207]:\tstep: 48910\tsteps/sec: 1.49295\tloss: 0.30220\tlr:[1.6787371e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:50,183 [    hooks.py:  207]:\tstep: 48920\tsteps/sec: 1.18019\tloss: 0.74063\tlr:[1.6780581e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:34:56,683 [    hooks.py:  207]:\tstep: 48930\tsteps/sec: 1.45131\tloss: 0.62313\tlr:[1.6773789e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:05,123 [    hooks.py:  207]:\tstep: 48940\tsteps/sec: 1.23425\tloss: 0.42075\tlr:[1.6766999e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:15,049 [    hooks.py:  207]:\tstep: 48950\tsteps/sec: 1.00746\tloss: 0.21715\tlr:[1.6760207e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:23,525 [    hooks.py:  207]:\tstep: 48960\tsteps/sec: 1.22373\tloss: 0.46984\tlr:[1.6753418e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:30,361 [    hooks.py:  207]:\tstep: 48970\tsteps/sec: 1.40558\tloss: 0.39061\tlr:[1.6746626e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:37,059 [    hooks.py:  207]:\tstep: 48980\tsteps/sec: 1.40265\tloss: 0.48111\tlr:[1.6739838e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:45,983 [    hooks.py:  207]:\tstep: 48990\tsteps/sec: 1.16615\tloss: 0.61999\tlr:[1.6733044e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:54,367 [    hooks.py:  207]:\tstep: 49000\tsteps/sec: 1.23556\tloss: 0.84743\tlr:[1.6726255e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:54,367 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:54,367 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:54,367 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:35:54,367 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:54,368 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c60c9e8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:35:54,368 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf838fcc18>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:43:54,530 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,531 [  trainer.py:   58]:\t{'acc': 0.7734939759036145, 'loss': 0.6058546351507689}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,531 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,531 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:43:54,531 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:43:54,531 [  trainer.py:   70]:\tacc\t0.7734939759036145\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:43:54,531 [  trainer.py:   70]:\tloss\t0.6058546351507689\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:43:54,532 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,533 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7734939759036145, 'loss': 0.6058546351507689}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,533 [ exporter.py:   64]:\t[Best Exporter]: skip step 49000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,533 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7734939759036145, 'loss': 0.6058546351507689}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,534 [ exporter.py:  104]:\t[Best Exporter]: skip step 49000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:54,534 [monitored_executor.py:  122]:\tsaving step 49000 to ./output/model_49000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:43:57,686 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_46000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:06,101 [    hooks.py:  207]:\tstep: 49010\tsteps/sec: 0.02031\tloss: 0.52791\tlr:[1.6719465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:16,473 [    hooks.py:  207]:\tstep: 49020\tsteps/sec: 0.99025\tloss: 0.25213\tlr:[1.6712676e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:25,758 [    hooks.py:  207]:\tstep: 49030\tsteps/sec: 1.03709\tloss: 0.22487\tlr:[1.6705882e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:33,737 [    hooks.py:  207]:\tstep: 49040\tsteps/sec: 1.36478\tloss: 0.52580\tlr:[1.6699094e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:43,229 [    hooks.py:  207]:\tstep: 49050\tsteps/sec: 1.04678\tloss: 0.30163\tlr:[1.6692302e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:49,955 [    hooks.py:  207]:\tstep: 49060\tsteps/sec: 1.46910\tloss: 0.47701\tlr:[1.6685513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:44:57,161 [    hooks.py:  207]:\tstep: 49070\tsteps/sec: 1.37547\tloss: 0.45206\tlr:[1.667872e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:45:04,846 [    hooks.py:  207]:\tstep: 49080\tsteps/sec: 1.32999\tloss: 0.57822\tlr:[1.667193e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:45:13,211 [    hooks.py:  207]:\tstep: 49090\tsteps/sec: 1.18480\tloss: 0.40826\tlr:[1.6665139e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:45:22,617 [    hooks.py:  207]:\tstep: 49100\tsteps/sec: 1.04561\tloss: 0.75303\tlr:[1.6658347e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 10:45:31,364 [    hooks.py:  207]:\tstep: 49110\tsteps/sec: 1.13778\tloss: 0.35365\tlr:[1.6651558e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:51:26,231 [    hooks.py:  207]:\tstep: 49530\tsteps/sec: 1.20710\tloss: 0.19354\tlr:[1.6366354e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:51:37,284 [    hooks.py:  207]:\tstep: 49540\tsteps/sec: 0.91695\tloss: 0.58058\tlr:[1.6359565e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:51:45,911 [    hooks.py:  207]:\tstep: 49550\tsteps/sec: 1.09707\tloss: 0.66294\tlr:[1.6352773e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:51:55,522 [    hooks.py:  207]:\tstep: 49560\tsteps/sec: 1.09254\tloss: 0.23864\tlr:[1.6345983e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:52:03,208 [    hooks.py:  207]:\tstep: 49570\tsteps/sec: 1.33447\tloss: 0.56427\tlr:[1.6339192e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 10:52:17,832 [    hooks.py:  207]:\tstep: 49590\tsteps/sec: 1.30596\tloss: 0.34900\tlr:[1.632561e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:52:26,881 [    hooks.py:  207]:\tstep: 49600\tsteps/sec: 1.06644\tloss: 0.26257\tlr:[1.6318822e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:52:34,984 [    hooks.py:  207]:\tstep: 49610\tsteps/sec: 1.29564\tloss: 0.28270\tlr:[1.631203e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:52:45,187 [    hooks.py:  207]:\tstep: 49620\tsteps/sec: 0.96992\tloss: 0.31978\tlr:[1.6305241e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:52:54,786 [    hooks.py:  207]:\tstep: 49630\tsteps/sec: 1.06955\tloss: 0.53091\tlr:[1.6298449e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:05,325 [    hooks.py:  207]:\tstep: 49640\tsteps/sec: 0.93782\tloss: 0.11915\tlr:[1.629166e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:13,953 [    hooks.py:  207]:\tstep: 49650\tsteps/sec: 1.17687\tloss: 0.68275\tlr:[1.6284866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:22,885 [    hooks.py:  207]:\tstep: 49660\tsteps/sec: 1.08171\tloss: 0.75912\tlr:[1.6278076e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:32,040 [    hooks.py:  207]:\tstep: 49670\tsteps/sec: 1.11107\tloss: 0.63127\tlr:[1.6271286e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:39,379 [    hooks.py:  207]:\tstep: 49680\tsteps/sec: 1.40961\tloss: 0.30962\tlr:[1.6264496e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:46,828 [    hooks.py:  207]:\tstep: 49690\tsteps/sec: 1.21867\tloss: 0.25086\tlr:[1.6257705e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:53:56,175 [    hooks.py:  207]:\tstep: 49700\tsteps/sec: 1.12389\tloss: 0.36763\tlr:[1.6250913e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:03,866 [    hooks.py:  207]:\tstep: 49710\tsteps/sec: 1.37880\tloss: 0.87363\tlr:[1.6244125e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:11,010 [    hooks.py:  207]:\tstep: 49720\tsteps/sec: 1.31550\tloss: 0.33108\tlr:[1.6237333e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:20,043 [    hooks.py:  207]:\tstep: 49730\tsteps/sec: 1.13520\tloss: 1.02602\tlr:[1.6230544e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:27,521 [    hooks.py:  207]:\tstep: 49740\tsteps/sec: 1.29874\tloss: 0.57247\tlr:[1.6223752e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:35,457 [    hooks.py:  207]:\tstep: 49750\tsteps/sec: 1.26663\tloss: 0.29535\tlr:[1.6216965e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 10:54:41,996 [    hooks.py:  207]:\tstep: 49760\tsteps/sec: 1.52917\tloss: 0.26462\tlr:[1.6210171e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:50,374 [    hooks.py:  207]:\tstep: 49770\tsteps/sec: 1.21636\tloss: 0.22677\tlr:[1.6203383e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:54:57,073 [    hooks.py:  207]:\tstep: 49780\tsteps/sec: 1.43960\tloss: 0.48804\tlr:[1.619659e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:05,128 [    hooks.py:  207]:\tstep: 49790\tsteps/sec: 1.28441\tloss: 0.55918\tlr:[1.6189802e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:11,834 [    hooks.py:  207]:\tstep: 49800\tsteps/sec: 1.45665\tloss: 0.36845\tlr:[1.618301e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:20,056 [    hooks.py:  207]:\tstep: 49810\tsteps/sec: 1.23296\tloss: 0.64938\tlr:[1.6176218e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:28,682 [    hooks.py:  207]:\tstep: 49820\tsteps/sec: 1.16533\tloss: 0.26750\tlr:[1.616943e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:36,742 [    hooks.py:  207]:\tstep: 49830\tsteps/sec: 1.21589\tloss: 0.20849\tlr:[1.6162638e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:46,915 [    hooks.py:  207]:\tstep: 49840\tsteps/sec: 0.97686\tloss: 0.35498\tlr:[1.615585e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:55:55,047 [    hooks.py:  207]:\tstep: 49850\tsteps/sec: 1.24629\tloss: 0.41639\tlr:[1.6149057e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:02,136 [    hooks.py:  207]:\tstep: 49860\tsteps/sec: 1.38486\tloss: 0.42574\tlr:[1.6142269e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:09,306 [    hooks.py:  207]:\tstep: 49870\tsteps/sec: 1.45041\tloss: 0.74187\tlr:[1.6135476e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:15,863 [    hooks.py:  207]:\tstep: 49880\tsteps/sec: 1.46721\tloss: 0.23978\tlr:[1.6128688e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:23,778 [    hooks.py:  207]:\tstep: 49890\tsteps/sec: 1.30317\tloss: 0.55087\tlr:[1.6121896e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:32,921 [    hooks.py:  207]:\tstep: 49900\tsteps/sec: 1.05736\tloss: 0.49506\tlr:[1.6115106e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:41,581 [    hooks.py:  207]:\tstep: 49910\tsteps/sec: 1.17877\tloss: 0.47505\tlr:[1.6108314e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:48,691 [    hooks.py:  207]:\tstep: 49920\tsteps/sec: 1.45527\tloss: 0.49925\tlr:[1.6101525e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:56:56,011 [    hooks.py:  207]:\tstep: 49930\tsteps/sec: 1.23951\tloss: 0.24347\tlr:[1.6094733e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:06,460 [    hooks.py:  207]:\tstep: 49940\tsteps/sec: 0.96846\tloss: 0.54068\tlr:[1.6087944e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:15,538 [    hooks.py:  207]:\tstep: 49950\tsteps/sec: 1.09310\tloss: 0.45011\tlr:[1.6081152e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:24,331 [    hooks.py:  207]:\tstep: 49960\tsteps/sec: 1.27500\tloss: 0.19514\tlr:[1.6074358e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:34,305 [    hooks.py:  207]:\tstep: 49970\tsteps/sec: 0.98426\tloss: 0.16961\tlr:[1.6067572e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:40,391 [    hooks.py:  207]:\tstep: 49980\tsteps/sec: 1.45415\tloss: 0.10746\tlr:[1.6060778e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:48,414 [    hooks.py:  207]:\tstep: 49990\tsteps/sec: 1.35803\tloss: 0.52491\tlr:[1.605399e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:56,112 [    hooks.py:  207]:\tstep: 50000\tsteps/sec: 1.24402\tloss: 0.65404\tlr:[1.6047197e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:56,112 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:56,113 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:56,113 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 10:57:56,113 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:56,113 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbfb40efa58>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 10:57:56,113 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c7f6f60>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:05:59,492 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,493 [  trainer.py:   58]:\t{'acc': 0.7799196787148595, 'loss': 0.5849914938593522}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,494 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,494 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:05:59,495 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:05:59,495 [  trainer.py:   70]:\tacc\t0.7799196787148595\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:05:59,495 [  trainer.py:   70]:\tloss\t0.5849914938593522\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:05:59,495 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,495 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7799196787148595, 'loss': 0.5849914938593522}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,495 [ exporter.py:   64]:\t[Best Exporter]: skip step 50000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,495 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7799196787148595, 'loss': 0.5849914938593522}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,495 [ exporter.py:  104]:\t[Best Exporter]: skip step 50000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:05:59,496 [monitored_executor.py:  122]:\tsaving step 50000 to ./output/model_50000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:02,905 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_47000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:09,977 [    hooks.py:  207]:\tstep: 50010\tsteps/sec: 0.02025\tloss: 0.14070\tlr:[1.6040409e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:20,226 [    hooks.py:  207]:\tstep: 50020\tsteps/sec: 1.02181\tloss: 0.08300\tlr:[1.6033619e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:29,649 [    hooks.py:  207]:\tstep: 50030\tsteps/sec: 1.03562\tloss: 0.27222\tlr:[1.6026828e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:37,491 [    hooks.py:  207]:\tstep: 50040\tsteps/sec: 1.27208\tloss: 0.34640\tlr:[1.6020036e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:45,577 [    hooks.py:  207]:\tstep: 50050\tsteps/sec: 1.24210\tloss: 0.21613\tlr:[1.6013246e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:06:52,128 [    hooks.py:  207]:\tstep: 50060\tsteps/sec: 1.52725\tloss: 0.93327\tlr:[1.6006454e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:02,012 [    hooks.py:  207]:\tstep: 50070\tsteps/sec: 0.99875\tloss: 0.50686\tlr:[1.5999667e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:09,387 [    hooks.py:  207]:\tstep: 50080\tsteps/sec: 1.44323\tloss: 0.49672\tlr:[1.5992873e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:16,285 [    hooks.py:  207]:\tstep: 50090\tsteps/sec: 1.33416\tloss: 0.47388\tlr:[1.5986087e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:25,077 [    hooks.py:  207]:\tstep: 50100\tsteps/sec: 1.16055\tloss: 0.21147\tlr:[1.5979293e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:33,375 [    hooks.py:  207]:\tstep: 50110\tsteps/sec: 1.21889\tloss: 0.22762\tlr:[1.5972502e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:41,286 [    hooks.py:  207]:\tstep: 50120\tsteps/sec: 1.19821\tloss: 0.69608\tlr:[1.5965714e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:49,030 [    hooks.py:  207]:\tstep: 50130\tsteps/sec: 1.34668\tloss: 0.45031\tlr:[1.595892e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:07:58,221 [    hooks.py:  207]:\tstep: 50140\tsteps/sec: 1.09400\tloss: 0.24038\tlr:[1.5952131e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:08:06,629 [    hooks.py:  207]:\tstep: 50150\tsteps/sec: 1.18876\tloss: 0.73494\tlr:[1.594534e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:08:14,896 [    hooks.py:  207]:\tstep: 50160\tsteps/sec: 1.24937\tloss: 0.75931\tlr:[1.5938549e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:08:22,431 [    hooks.py:  207]:\tstep: 50170\tsteps/sec: 1.27156\tloss: 0.56543\tlr:[1.5931759e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 11:16:35,921 [    hooks.py:  207]:\tstep: 50760\tsteps/sec: 1.17590\tloss: 0.43111\tlr:[1.5531115e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:16:45,808 [    hooks.py:  207]:\tstep: 50770\tsteps/sec: 1.05200\tloss: 0.43295\tlr:[1.5524325e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:16:52,554 [    hooks.py:  207]:\tstep: 50780\tsteps/sec: 1.46390\tloss: 0.71197\tlr:[1.5517537e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:01,493 [    hooks.py:  207]:\tstep: 50790\tsteps/sec: 1.14498\tloss: 0.33346\tlr:[1.5510743e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:09,969 [    hooks.py:  207]:\tstep: 50800\tsteps/sec: 1.17643\tloss: 0.71727\tlr:[1.5503956e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:17,474 [    hooks.py:  207]:\tstep: 50810\tsteps/sec: 1.28978\tloss: 0.41247\tlr:[1.5497162e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:26,961 [    hooks.py:  207]:\tstep: 50820\tsteps/sec: 1.05367\tloss: 0.39705\tlr:[1.5490374e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:33,440 [    hooks.py:  207]:\tstep: 50830\tsteps/sec: 1.53281\tloss: 0.12863\tlr:[1.5483583e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:42,332 [    hooks.py:  207]:\tstep: 50840\tsteps/sec: 1.14082\tloss: 0.57493\tlr:[1.5476791e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:50,734 [    hooks.py:  207]:\tstep: 50850\tsteps/sec: 1.15153\tloss: 0.40515\tlr:[1.5470001e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:17:59,115 [    hooks.py:  207]:\tstep: 50860\tsteps/sec: 1.26272\tloss: 0.08455\tlr:[1.546321e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 11:18:07,137 [    hooks.py:  207]:\tstep: 50870\tsteps/sec: 1.21198\tloss: 0.71547\tlr:[1.545642e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:18:17,007 [    hooks.py:  207]:\tstep: 50880\tsteps/sec: 1.01116\tloss: 0.12551\tlr:[1.5449628e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:18:24,117 [    hooks.py:  207]:\tstep: 50890\tsteps/sec: 1.39328\tloss: 0.36564\tlr:[1.544284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:18:34,608 [    hooks.py:  207]:\tstep: 50900\tsteps/sec: 0.98797\tloss: 0.14386\tlr:[1.5436048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:18:44,153 [    hooks.py:  207]:\tstep: 50910\tsteps/sec: 1.04158\tloss: 0.57177\tlr:[1.5429257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:18:52,783 [    hooks.py:  207]:\tstep: 50920\tsteps/sec: 1.14244\tloss: 0.44444\tlr:[1.5422465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:00,348 [    hooks.py:  207]:\tstep: 50930\tsteps/sec: 1.41596\tloss: 0.17953\tlr:[1.5415677e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:08,763 [    hooks.py:  207]:\tstep: 50940\tsteps/sec: 1.13245\tloss: 0.40041\tlr:[1.5408887e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:18,439 [    hooks.py:  207]:\tstep: 50950\tsteps/sec: 1.00202\tloss: 0.47210\tlr:[1.5402098e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:27,481 [    hooks.py:  207]:\tstep: 50960\tsteps/sec: 1.12765\tloss: 0.35904\tlr:[1.5395306e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:34,306 [    hooks.py:  207]:\tstep: 50970\tsteps/sec: 1.44048\tloss: 0.81146\tlr:[1.5388518e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:43,191 [    hooks.py:  207]:\tstep: 50980\tsteps/sec: 1.14045\tloss: 0.43705\tlr:[1.5381724e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:19:51,558 [    hooks.py:  207]:\tstep: 50990\tsteps/sec: 1.18247\tloss: 0.23197\tlr:[1.5374932e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:20:00,787 [    hooks.py:  207]:\tstep: 51000\tsteps/sec: 1.18055\tloss: 0.42550\tlr:[1.5368143e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:20:00,788 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:20:00,788 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:20:00,788 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:20:00,788 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:20:00,788 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c809080>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:20:00,789 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83af2eb8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:28:08,419 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,420 [  trainer.py:   58]:\t{'acc': 0.7811244979919679, 'loss': 0.5841030561102506}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,421 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,421 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:28:08,422 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:28:08,422 [  trainer.py:   70]:\tacc\t0.7811244979919679\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:28:08,422 [  trainer.py:   70]:\tloss\t0.5841030561102506\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:28:08,422 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,422 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7811244979919679, 'loss': 0.5841030561102506}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,422 [ exporter.py:   64]:\t[Best Exporter]: skip step 51000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,422 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7811244979919679, 'loss': 0.5841030561102506}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,422 [ exporter.py:  104]:\t[Best Exporter]: skip step 51000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:08,423 [monitored_executor.py:  122]:\tsaving step 51000 to ./output/model_51000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:28:11,615 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_48000\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 11:42:19,772 [    hooks.py:  207]:\tstep: 51980\tsteps/sec: 1.22053\tloss: 0.42384\tlr:[1.47026685e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:30,019 [    hooks.py:  207]:\tstep: 51990\tsteps/sec: 0.96341\tloss: 0.56964\tlr:[1.4695876e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:38,308 [    hooks.py:  207]:\tstep: 52000\tsteps/sec: 1.22980\tloss: 0.83626\tlr:[1.4689088e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:38,308 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:38,308 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:38,308 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:42:38,309 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:38,309 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c7f6e10>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:42:38,309 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c90df60>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:50:44,996 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:44,998 [  trainer.py:   58]:\t{'acc': 0.778714859437751, 'loss': 0.6016215128967395}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:44,998 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:44,999 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:50:44,999 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:50:44,999 [  trainer.py:   70]:\tacc\t0.778714859437751\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:50:44,999 [  trainer.py:   70]:\tloss\t0.6016215128967395\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 11:50:44,999 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:45,000 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.778714859437751, 'loss': 0.6016215128967395}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:45,000 [ exporter.py:   64]:\t[Best Exporter]: skip step 52000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:45,000 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.778714859437751, 'loss': 0.6016215128967395}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:45,000 [ exporter.py:  104]:\t[Best Exporter]: skip step 52000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:45,001 [monitored_executor.py:  122]:\tsaving step 52000 to ./output/model_52000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:48,392 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_49000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:50:55,351 [    hooks.py:  207]:\tstep: 52010\tsteps/sec: 0.02011\tloss: 0.76061\tlr:[1.4682296e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:02,789 [    hooks.py:  207]:\tstep: 52020\tsteps/sec: 1.31458\tloss: 0.86669\tlr:[1.4675504e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:13,253 [    hooks.py:  207]:\tstep: 52030\tsteps/sec: 0.97089\tloss: 0.52870\tlr:[1.4668714e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:21,120 [    hooks.py:  207]:\tstep: 52040\tsteps/sec: 1.21346\tloss: 0.31825\tlr:[1.4661922e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:30,521 [    hooks.py:  207]:\tstep: 52050\tsteps/sec: 1.09094\tloss: 0.39621\tlr:[1.4655134e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:38,901 [    hooks.py:  207]:\tstep: 52060\tsteps/sec: 1.23475\tloss: 0.34727\tlr:[1.46483435e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:46,933 [    hooks.py:  207]:\tstep: 52070\tsteps/sec: 1.20773\tloss: 0.37843\tlr:[1.4641554e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:51:56,419 [    hooks.py:  207]:\tstep: 52080\tsteps/sec: 1.01935\tloss: 0.22326\tlr:[1.4634761e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:03,546 [    hooks.py:  207]:\tstep: 52090\tsteps/sec: 1.51980\tloss: 0.56950\tlr:[1.4627972e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:11,670 [    hooks.py:  207]:\tstep: 52100\tsteps/sec: 1.19956\tloss: 0.21688\tlr:[1.462118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:19,864 [    hooks.py:  207]:\tstep: 52110\tsteps/sec: 1.25370\tloss: 0.21776\tlr:[1.4614392e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:29,335 [    hooks.py:  207]:\tstep: 52120\tsteps/sec: 1.05224\tloss: 0.77365\tlr:[1.4607599e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:37,030 [    hooks.py:  207]:\tstep: 52130\tsteps/sec: 1.26580\tloss: 0.62719\tlr:[1.460081e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:45,696 [    hooks.py:  207]:\tstep: 52140\tsteps/sec: 1.11268\tloss: 0.74927\tlr:[1.45940185e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:52:55,367 [    hooks.py:  207]:\tstep: 52150\tsteps/sec: 1.04336\tloss: 0.23975\tlr:[1.4587229e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:04,344 [    hooks.py:  207]:\tstep: 52160\tsteps/sec: 1.18844\tloss: 0.50388\tlr:[1.4580439e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:11,600 [    hooks.py:  207]:\tstep: 52170\tsteps/sec: 1.33256\tloss: 0.49997\tlr:[1.4573647e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:20,582 [    hooks.py:  207]:\tstep: 52180\tsteps/sec: 1.12391\tloss: 0.52066\tlr:[1.4566857e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:29,071 [    hooks.py:  207]:\tstep: 52190\tsteps/sec: 1.22547\tloss: 0.56141\tlr:[1.4560064e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:36,610 [    hooks.py:  207]:\tstep: 52200\tsteps/sec: 1.22537\tloss: 0.16556\tlr:[1.4553275e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:46,271 [    hooks.py:  207]:\tstep: 52210\tsteps/sec: 1.05002\tloss: 0.22060\tlr:[1.4546484e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:53:54,810 [    hooks.py:  207]:\tstep: 52220\tsteps/sec: 1.18428\tloss: 0.32397\tlr:[1.4539694e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:54:03,979 [    hooks.py:  207]:\tstep: 52230\tsteps/sec: 1.06737\tloss: 0.52982\tlr:[1.4532902e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:54:13,310 [    hooks.py:  207]:\tstep: 52240\tsteps/sec: 1.10249\tloss: 0.85792\tlr:[1.4526114e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:54:21,576 [    hooks.py:  207]:\tstep: 52250\tsteps/sec: 1.15350\tloss: 0.27796\tlr:[1.4519322e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:54:33,309 [    hooks.py:  207]:\tstep: 52260\tsteps/sec: 0.85737\tloss: 0.28912\tlr:[1.4512532e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:54:43,532 [    hooks.py:  207]:\tstep: 52270\tsteps/sec: 1.00066\tloss: 0.51188\tlr:[1.450574e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:54:52,142 [    hooks.py:  207]:\tstep: 52280\tsteps/sec: 1.15901\tloss: 0.39205\tlr:[1.4498952e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:02,849 [    hooks.py:  207]:\tstep: 52290\tsteps/sec: 0.93293\tloss: 0.48117\tlr:[1.449216e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:12,440 [    hooks.py:  207]:\tstep: 52300\tsteps/sec: 1.04128\tloss: 0.43055\tlr:[1.4485371e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:22,158 [    hooks.py:  207]:\tstep: 52310\tsteps/sec: 1.02762\tloss: 0.31137\tlr:[1.4478579e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:29,364 [    hooks.py:  207]:\tstep: 52320\tsteps/sec: 1.42532\tloss: 0.27179\tlr:[1.4471789e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:36,476 [    hooks.py:  207]:\tstep: 52330\tsteps/sec: 1.30738\tloss: 0.38619\tlr:[1.4464999e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:46,880 [    hooks.py:  207]:\tstep: 52340\tsteps/sec: 1.09859\tloss: 0.40832\tlr:[1.4458206e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:55:54,582 [    hooks.py:  207]:\tstep: 52350\tsteps/sec: 1.18192\tloss: 0.53060\tlr:[1.4451417e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:03,728 [    hooks.py:  207]:\tstep: 52360\tsteps/sec: 1.08976\tloss: 0.37333\tlr:[1.4444627e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:13,651 [    hooks.py:  207]:\tstep: 52370\tsteps/sec: 1.00401\tloss: 0.38534\tlr:[1.4437837e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:20,472 [    hooks.py:  207]:\tstep: 52380\tsteps/sec: 1.45717\tloss: 0.24783\tlr:[1.4431044e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:29,663 [    hooks.py:  207]:\tstep: 52390\tsteps/sec: 1.10703\tloss: 0.04180\tlr:[1.4424257e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:36,465 [    hooks.py:  207]:\tstep: 52400\tsteps/sec: 1.40995\tloss: 0.37159\tlr:[1.4417465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:46,600 [    hooks.py:  207]:\tstep: 52410\tsteps/sec: 0.99678\tloss: 0.39637\tlr:[1.4410675e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:56:54,519 [    hooks.py:  207]:\tstep: 52420\tsteps/sec: 1.23244\tloss: 0.28652\tlr:[1.4403882e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:57:01,615 [    hooks.py:  207]:\tstep: 52430\tsteps/sec: 1.37677\tloss: 0.19783\tlr:[1.4397095e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 11:57:11,905 [    hooks.py:  207]:\tstep: 52440\tsteps/sec: 1.01091\tloss: 0.35647\tlr:[1.4390303e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:57:19,037 [    hooks.py:  207]:\tstep: 52450\tsteps/sec: 1.36214\tloss: 0.30212\tlr:[1.4383514e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:57:29,810 [    hooks.py:  207]:\tstep: 52460\tsteps/sec: 0.95930\tloss: 0.32247\tlr:[1.4376722e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 11:57:53,127 [    hooks.py:  207]:\tstep: 52490\tsteps/sec: 1.31779\tloss: 0.38122\tlr:[1.4356349e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:58:03,093 [    hooks.py:  207]:\tstep: 52500\tsteps/sec: 1.03456\tloss: 0.32300\tlr:[1.4349559e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:58:12,437 [    hooks.py:  207]:\tstep: 52510\tsteps/sec: 1.06993\tloss: 0.30057\tlr:[1.4342767e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:58:20,067 [    hooks.py:  207]:\tstep: 52520\tsteps/sec: 1.35249\tloss: 0.20413\tlr:[1.43359775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:58:27,208 [    hooks.py:  207]:\tstep: 52530\tsteps/sec: 1.33818\tloss: 0.58610\tlr:[1.4329185e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:58:37,382 [    hooks.py:  207]:\tstep: 52540\tsteps/sec: 0.98996\tloss: 0.26738\tlr:[1.4322397e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:58:44,815 [    hooks.py:  207]:\tstep: 52550\tsteps/sec: 1.41942\tloss: 0.37783\tlr:[1.4315605e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 11:59:30,492 [    hooks.py:  207]:\tstep: 52600\tsteps/sec: 1.12704\tloss: 0.33107\tlr:[1.4281651e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 11:59:40,087 [    hooks.py:  207]:\tstep: 52610\tsteps/sec: 1.15557\tloss: 0.38864\tlr:[1.4274862e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 11:59:56,218 [    hooks.py:  207]:\tstep: 52630\tsteps/sec: 1.27192\tloss: 0.30161\tlr:[1.4261281e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:00:05,679 [    hooks.py:  207]:\tstep: 52640\tsteps/sec: 1.06081\tloss: 0.35929\tlr:[1.42544895e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:02:23,624 [    hooks.py:  207]:\tstep: 52800\tsteps/sec: 1.20182\tloss: 0.41322\tlr:[1.4145842e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:02:32,317 [    hooks.py:  207]:\tstep: 52810\tsteps/sec: 1.14324\tloss: 1.02637\tlr:[1.413905e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:02:41,157 [    hooks.py:  207]:\tstep: 52820\tsteps/sec: 1.19796\tloss: 0.24306\tlr:[1.4132261e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:02:48,709 [    hooks.py:  207]:\tstep: 52830\tsteps/sec: 1.27981\tloss: 0.27693\tlr:[1.4125469e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:02:56,041 [    hooks.py:  207]:\tstep: 52840\tsteps/sec: 1.33779\tloss: 0.56551\tlr:[1.411868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:04,125 [    hooks.py:  207]:\tstep: 52850\tsteps/sec: 1.25711\tloss: 0.57496\tlr:[1.4111888e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:11,487 [    hooks.py:  207]:\tstep: 52860\tsteps/sec: 1.32300\tloss: 0.31566\tlr:[1.4105099e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:20,236 [    hooks.py:  207]:\tstep: 52870\tsteps/sec: 1.15031\tloss: 0.50236\tlr:[1.40983075e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:30,217 [    hooks.py:  207]:\tstep: 52880\tsteps/sec: 1.00299\tloss: 0.31795\tlr:[1.409152e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:39,212 [    hooks.py:  207]:\tstep: 52890\tsteps/sec: 1.13061\tloss: 0.48511\tlr:[1.4084728e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:47,153 [    hooks.py:  207]:\tstep: 52900\tsteps/sec: 1.21301\tloss: 0.66130\tlr:[1.4077934e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:03:55,150 [    hooks.py:  207]:\tstep: 52910\tsteps/sec: 1.27756\tloss: 0.37804\tlr:[1.4071147e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:02,320 [    hooks.py:  207]:\tstep: 52920\tsteps/sec: 1.28228\tloss: 0.56823\tlr:[1.4064355e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:10,996 [    hooks.py:  207]:\tstep: 52930\tsteps/sec: 1.18200\tloss: 0.17634\tlr:[1.4057564e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:21,328 [    hooks.py:  207]:\tstep: 52940\tsteps/sec: 1.00009\tloss: 0.45029\tlr:[1.4050774e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:29,944 [    hooks.py:  207]:\tstep: 52950\tsteps/sec: 1.17650\tloss: 0.44992\tlr:[1.4043985e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:41,758 [    hooks.py:  207]:\tstep: 52960\tsteps/sec: 0.87434\tloss: 0.24859\tlr:[1.4037193e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:51,161 [    hooks.py:  207]:\tstep: 52970\tsteps/sec: 1.01153\tloss: 0.37458\tlr:[1.4030404e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:04:59,764 [    hooks.py:  207]:\tstep: 52980\tsteps/sec: 1.14301\tloss: 0.44028\tlr:[1.4023611e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:07,129 [    hooks.py:  207]:\tstep: 52990\tsteps/sec: 1.30485\tloss: 0.57589\tlr:[1.4016823e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:15,518 [    hooks.py:  207]:\tstep: 53000\tsteps/sec: 1.27678\tloss: 0.24716\tlr:[1.401003e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:15,519 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:15,520 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:15,520 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:05:15,520 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:15,520 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83bac860>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:05:15,520 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83ff22e8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:13:16,836 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,837 [  trainer.py:   58]:\t{'acc': 0.7879518072289157, 'loss': 0.5892255254901755}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,838 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,839 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:13:16,839 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:13:16,839 [  trainer.py:   70]:\tacc\t0.7879518072289157\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:13:16,839 [  trainer.py:   70]:\tloss\t0.5892255254901755\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:13:16,839 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,839 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7879518072289157, 'loss': 0.5892255254901755}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,839 [ exporter.py:   64]:\t[Best Exporter]: skip step 53000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,839 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7879518072289157, 'loss': 0.5892255254901755}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,839 [ exporter.py:  104]:\t[Best Exporter]: skip step 53000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:16,841 [monitored_executor.py:  122]:\tsaving step 53000 to ./output/model_53000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 12:13:19,951 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_50000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:27,459 [    hooks.py:  207]:\tstep: 53010\tsteps/sec: 0.02032\tloss: 0.82579\tlr:[1.40032425e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:35,063 [    hooks.py:  207]:\tstep: 53020\tsteps/sec: 1.33780\tloss: 0.56264\tlr:[1.3996449e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:46,591 [    hooks.py:  207]:\tstep: 53030\tsteps/sec: 0.85406\tloss: 0.44572\tlr:[1.3989661e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:13:56,164 [    hooks.py:  207]:\tstep: 53040\tsteps/sec: 1.05382\tloss: 0.62524\tlr:[1.3982868e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:14:06,791 [    hooks.py:  207]:\tstep: 53050\tsteps/sec: 0.92900\tloss: 0.11478\tlr:[1.3976078e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:14:16,763 [    hooks.py:  207]:\tstep: 53060\tsteps/sec: 1.00326\tloss: 0.40520\tlr:[1.3969287e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:14:26,548 [    hooks.py:  207]:\tstep: 53070\tsteps/sec: 0.99771\tloss: 0.56367\tlr:[1.3962495e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:14:42,601 [    hooks.py:  207]:\tstep: 53090\tsteps/sec: 1.39101\tloss: 0.19393\tlr:[1.3948914e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:14:49,941 [    hooks.py:  207]:\tstep: 53100\tsteps/sec: 1.37001\tloss: 0.45306\tlr:[1.3942125e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:15:07,840 [    hooks.py:  207]:\tstep: 53120\tsteps/sec: 1.16149\tloss: 0.51164\tlr:[1.3928544e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:15:50,187 [    hooks.py:  207]:\tstep: 53170\tsteps/sec: 1.28209\tloss: 0.13869\tlr:[1.3894591e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:16:00,907 [    hooks.py:  207]:\tstep: 53180\tsteps/sec: 0.92788\tloss: 0.45939\tlr:[1.3887801e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:16:09,051 [    hooks.py:  207]:\tstep: 53190\tsteps/sec: 1.22045\tloss: 0.46995\tlr:[1.3881009e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:16:17,808 [    hooks.py:  207]:\tstep: 53200\tsteps/sec: 1.12036\tloss: 0.41193\tlr:[1.3874217e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:16:25,994 [    hooks.py:  207]:\tstep: 53210\tsteps/sec: 1.23776\tloss: 0.16426\tlr:[1.386743e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:17:24,819 [    hooks.py:  207]:\tstep: 53280\tsteps/sec: 1.37858\tloss: 0.44942\tlr:[1.3819896e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:17:32,161 [    hooks.py:  207]:\tstep: 53290\tsteps/sec: 1.31273\tloss: 0.42456\tlr:[1.38131045e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:17:55,390 [    hooks.py:  207]:\tstep: 53320\tsteps/sec: 1.35271\tloss: 0.58966\tlr:[1.3792734e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:03,814 [    hooks.py:  207]:\tstep: 53330\tsteps/sec: 1.17127\tloss: 0.64805\tlr:[1.3785944e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:12,011 [    hooks.py:  207]:\tstep: 53340\tsteps/sec: 1.20079\tloss: 0.45447\tlr:[1.3779151e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:22,182 [    hooks.py:  207]:\tstep: 53350\tsteps/sec: 0.97567\tloss: 0.35230\tlr:[1.3772361e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:30,999 [    hooks.py:  207]:\tstep: 53360\tsteps/sec: 1.09642\tloss: 0.19069\tlr:[1.3765572e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:40,062 [    hooks.py:  207]:\tstep: 53370\tsteps/sec: 1.19540\tloss: 0.17574\tlr:[1.37587795e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:49,363 [    hooks.py:  207]:\tstep: 53380\tsteps/sec: 1.02536\tloss: 0.72635\tlr:[1.3751991e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:18:57,252 [    hooks.py:  207]:\tstep: 53390\tsteps/sec: 1.29385\tloss: 0.50524\tlr:[1.3745199e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:19:07,156 [    hooks.py:  207]:\tstep: 53400\tsteps/sec: 0.97343\tloss: 0.45979\tlr:[1.3738409e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:19:17,655 [    hooks.py:  207]:\tstep: 53410\tsteps/sec: 0.97766\tloss: 0.09906\tlr:[1.37316165e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:19:27,199 [    hooks.py:  207]:\tstep: 53420\tsteps/sec: 1.02240\tloss: 0.75221\tlr:[1.3724827e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:19:37,102 [    hooks.py:  207]:\tstep: 53430\tsteps/sec: 1.04276\tloss: 0.53847\tlr:[1.3718036e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:19:45,120 [    hooks.py:  207]:\tstep: 53440\tsteps/sec: 1.30000\tloss: 0.19661\tlr:[1.37112465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:19:51,791 [    hooks.py:  207]:\tstep: 53450\tsteps/sec: 1.37515\tloss: 0.82625\tlr:[1.3704454e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:01,094 [    hooks.py:  207]:\tstep: 53460\tsteps/sec: 1.11457\tloss: 0.31725\tlr:[1.3697666e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:09,391 [    hooks.py:  207]:\tstep: 53470\tsteps/sec: 1.21914\tloss: 0.62866\tlr:[1.3690874e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:17,063 [    hooks.py:  207]:\tstep: 53480\tsteps/sec: 1.28020\tloss: 0.50004\tlr:[1.36840845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:26,105 [    hooks.py:  207]:\tstep: 53490\tsteps/sec: 1.09693\tloss: 0.27411\tlr:[1.3677292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:34,814 [    hooks.py:  207]:\tstep: 53500\tsteps/sec: 1.16968\tloss: 0.99261\tlr:[1.3670501e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:46,662 [    hooks.py:  207]:\tstep: 53510\tsteps/sec: 0.80882\tloss: 0.54653\tlr:[1.3663712e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:20:56,121 [    hooks.py:  207]:\tstep: 53520\tsteps/sec: 1.10827\tloss: 0.53944\tlr:[1.365692e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:04,033 [    hooks.py:  207]:\tstep: 53530\tsteps/sec: 1.28229\tloss: 0.35941\tlr:[1.3650132e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:14,233 [    hooks.py:  207]:\tstep: 53540\tsteps/sec: 0.98460\tloss: 0.30881\tlr:[1.364334e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:21,253 [    hooks.py:  207]:\tstep: 53550\tsteps/sec: 1.40902\tloss: 0.70062\tlr:[1.3636552e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:29,830 [    hooks.py:  207]:\tstep: 53560\tsteps/sec: 1.17301\tloss: 0.40110\tlr:[1.3629758e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:39,487 [    hooks.py:  207]:\tstep: 53570\tsteps/sec: 1.05450\tloss: 0.53029\tlr:[1.3622971e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:48,211 [    hooks.py:  207]:\tstep: 53580\tsteps/sec: 1.09521\tloss: 0.19397\tlr:[1.3616179e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:21:59,217 [    hooks.py:  207]:\tstep: 53590\tsteps/sec: 0.92891\tloss: 0.18383\tlr:[1.36093895e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:22:07,178 [    hooks.py:  207]:\tstep: 53600\tsteps/sec: 1.23732\tloss: 0.34353\tlr:[1.3602597e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:22:14,226 [    hooks.py:  207]:\tstep: 53610\tsteps/sec: 1.43847\tloss: 0.54791\tlr:[1.3595809e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:22:21,300 [    hooks.py:  207]:\tstep: 53620\tsteps/sec: 1.39974\tloss: 0.58528\tlr:[1.3589017e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:22:29,418 [    hooks.py:  207]:\tstep: 53630\tsteps/sec: 1.20484\tloss: 0.06987\tlr:[1.3582227e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:22:37,333 [    hooks.py:  207]:\tstep: 53640\tsteps/sec: 1.20642\tloss: 0.10872\tlr:[1.3575436e-05]\u001b[0m\n"
     ]
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    {
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      "\u001b[37m[DEBUG] 2019-09-19 12:22:48,241 [    hooks.py:  207]:\tstep: 53650\tsteps/sec: 0.96370\tloss: 0.22435\tlr:[1.3568644e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:24:30,139 [    hooks.py:  207]:\tstep: 53770\tsteps/sec: 1.10291\tloss: 0.62415\tlr:[1.3487158e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:25:27,221 [    hooks.py:  207]:\tstep: 53840\tsteps/sec: 1.05091\tloss: 0.32446\tlr:[1.3439624e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:25:38,837 [    hooks.py:  207]:\tstep: 53850\tsteps/sec: 0.84367\tloss: 0.47758\tlr:[1.3432835e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:25:49,368 [    hooks.py:  207]:\tstep: 53860\tsteps/sec: 0.98643\tloss: 0.26672\tlr:[1.3426043e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:25:56,333 [    hooks.py:  207]:\tstep: 53870\tsteps/sec: 1.33478\tloss: 0.55604\tlr:[1.3419254e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:26:06,414 [    hooks.py:  207]:\tstep: 53880\tsteps/sec: 1.02775\tloss: 0.25319\tlr:[1.3412462e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:26:13,852 [    hooks.py:  207]:\tstep: 53890\tsteps/sec: 1.31054\tloss: 0.32750\tlr:[1.3405672e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:26:24,620 [    hooks.py:  207]:\tstep: 53900\tsteps/sec: 0.97202\tloss: 0.36971\tlr:[1.3398881e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:26:32,911 [    hooks.py:  207]:\tstep: 53910\tsteps/sec: 1.15297\tloss: 0.42486\tlr:[1.3392092e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:26:42,723 [    hooks.py:  207]:\tstep: 53920\tsteps/sec: 1.04369\tloss: 0.18359\tlr:[1.3385298e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:26:51,088 [    hooks.py:  207]:\tstep: 53930\tsteps/sec: 1.19200\tloss: 0.14351\tlr:[1.3378508e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:00,141 [    hooks.py:  207]:\tstep: 53940\tsteps/sec: 1.08914\tloss: 0.44201\tlr:[1.3371719e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:08,126 [    hooks.py:  207]:\tstep: 53950\tsteps/sec: 1.25267\tloss: 0.29272\tlr:[1.33649255e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:17,662 [    hooks.py:  207]:\tstep: 53960\tsteps/sec: 1.05442\tloss: 0.35066\tlr:[1.3358137e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:24,279 [    hooks.py:  207]:\tstep: 53970\tsteps/sec: 1.46743\tloss: 0.68513\tlr:[1.3351345e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:32,228 [    hooks.py:  207]:\tstep: 53980\tsteps/sec: 1.29273\tloss: 0.30165\tlr:[1.3344557e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:40,468 [    hooks.py:  207]:\tstep: 53990\tsteps/sec: 1.23891\tloss: 0.30037\tlr:[1.3337765e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:48,433 [    hooks.py:  207]:\tstep: 54000\tsteps/sec: 1.17663\tloss: 0.46466\tlr:[1.3330976e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:48,434 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:48,434 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:48,434 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:27:48,434 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:48,434 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83ae34e0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:27:48,434 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83fa5160>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:35:48,990 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,991 [  trainer.py:   58]:\t{'acc': 0.7779116465863454, 'loss': 0.6124191965716772}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,992 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,992 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:35:48,992 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:35:48,993 [  trainer.py:   70]:\tacc\t0.7779116465863454\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:35:48,993 [  trainer.py:   70]:\tloss\t0.6124191965716772\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:35:48,993 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,993 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.6124191965716772}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,993 [ exporter.py:   64]:\t[Best Exporter]: skip step 54000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,993 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.6124191965716772}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,993 [ exporter.py:  104]:\t[Best Exporter]: skip step 54000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:48,994 [monitored_executor.py:  122]:\tsaving step 54000 to ./output/model_54000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:35:52,189 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_51000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:01,607 [    hooks.py:  207]:\tstep: 54010\tsteps/sec: 0.02029\tloss: 0.56055\tlr:[1.3324183e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:10,449 [    hooks.py:  207]:\tstep: 54020\tsteps/sec: 1.15522\tloss: 0.36105\tlr:[1.33173935e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:17,819 [    hooks.py:  207]:\tstep: 54030\tsteps/sec: 1.32502\tloss: 0.38507\tlr:[1.3310603e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:25,716 [    hooks.py:  207]:\tstep: 54040\tsteps/sec: 1.29486\tloss: 0.47561\tlr:[1.3303815e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:33,291 [    hooks.py:  207]:\tstep: 54050\tsteps/sec: 1.27757\tloss: 0.32375\tlr:[1.3297023e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:42,492 [    hooks.py:  207]:\tstep: 54060\tsteps/sec: 1.14947\tloss: 0.18923\tlr:[1.3290233e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:50,632 [    hooks.py:  207]:\tstep: 54070\tsteps/sec: 1.19886\tloss: 0.05738\tlr:[1.3283442e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:36:58,382 [    hooks.py:  207]:\tstep: 54080\tsteps/sec: 1.24182\tloss: 0.21657\tlr:[1.3276648e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:37:08,192 [    hooks.py:  207]:\tstep: 54090\tsteps/sec: 1.02392\tloss: 0.58364\tlr:[1.3269861e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:37:16,407 [    hooks.py:  207]:\tstep: 54100\tsteps/sec: 1.17776\tloss: 0.14015\tlr:[1.32630685e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 12:37:24,870 [    hooks.py:  207]:\tstep: 54110\tsteps/sec: 1.25321\tloss: 0.23139\tlr:[1.325628e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:40:07,199 [    hooks.py:  207]:\tstep: 54300\tsteps/sec: 1.06233\tloss: 0.93656\tlr:[1.312726e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:40:15,438 [    hooks.py:  207]:\tstep: 54310\tsteps/sec: 1.19194\tloss: 0.16246\tlr:[1.3120466e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:45:27,142 [    hooks.py:  207]:\tstep: 54670\tsteps/sec: 1.22672\tloss: 0.53799\tlr:[1.2876008e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:45:34,809 [    hooks.py:  207]:\tstep: 54680\tsteps/sec: 1.33006\tloss: 0.56628\tlr:[1.2869216e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:45:42,657 [    hooks.py:  207]:\tstep: 54690\tsteps/sec: 1.28890\tloss: 0.56865\tlr:[1.2862427e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:45:50,826 [    hooks.py:  207]:\tstep: 54700\tsteps/sec: 1.24878\tloss: 0.47746\tlr:[1.2855635e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 12:46:06,348 [    hooks.py:  207]:\tstep: 54720\tsteps/sec: 1.16738\tloss: 0.10602\tlr:[1.2842054e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:46:14,194 [    hooks.py:  207]:\tstep: 54730\tsteps/sec: 1.26883\tloss: 0.33997\tlr:[1.2835266e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:46:23,558 [    hooks.py:  207]:\tstep: 54740\tsteps/sec: 1.05191\tloss: 0.28387\tlr:[1.2828474e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:46:32,532 [    hooks.py:  207]:\tstep: 54750\tsteps/sec: 1.16963\tloss: 0.46787\tlr:[1.2821684e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 12:46:40,132 [    hooks.py:  207]:\tstep: 54760\tsteps/sec: 1.31551\tloss: 0.29755\tlr:[1.2814892e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:46:49,389 [    hooks.py:  207]:\tstep: 54770\tsteps/sec: 1.09540\tloss: 0.73232\tlr:[1.2808104e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:46:56,520 [    hooks.py:  207]:\tstep: 54780\tsteps/sec: 1.41369\tloss: 0.23233\tlr:[1.280131e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:03,973 [    hooks.py:  207]:\tstep: 54790\tsteps/sec: 1.29947\tloss: 0.30803\tlr:[1.2794521e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:11,092 [    hooks.py:  207]:\tstep: 54800\tsteps/sec: 1.47288\tloss: 0.37635\tlr:[1.2787729e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:18,793 [    hooks.py:  207]:\tstep: 54810\tsteps/sec: 1.24647\tloss: 0.15514\tlr:[1.2780937e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:27,970 [    hooks.py:  207]:\tstep: 54820\tsteps/sec: 1.08418\tloss: 0.25087\tlr:[1.2774149e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:36,265 [    hooks.py:  207]:\tstep: 54830\tsteps/sec: 1.23386\tloss: 0.28328\tlr:[1.27673575e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:45,980 [    hooks.py:  207]:\tstep: 54840\tsteps/sec: 1.02952\tloss: 0.47492\tlr:[1.2760567e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:47:54,980 [    hooks.py:  207]:\tstep: 54850\tsteps/sec: 1.11100\tloss: 0.58911\tlr:[1.2753775e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:01,751 [    hooks.py:  207]:\tstep: 54860\tsteps/sec: 1.48665\tloss: 0.78766\tlr:[1.2746987e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:07,885 [    hooks.py:  207]:\tstep: 54870\tsteps/sec: 1.57312\tloss: 0.06688\tlr:[1.27401945e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:16,206 [    hooks.py:  207]:\tstep: 54880\tsteps/sec: 1.23558\tloss: 0.25690\tlr:[1.2733405e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:26,262 [    hooks.py:  207]:\tstep: 54890\tsteps/sec: 0.98813\tloss: 0.28083\tlr:[1.2726614e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:35,330 [    hooks.py:  207]:\tstep: 54900\tsteps/sec: 1.14258\tloss: 0.68524\tlr:[1.2719825e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:43,824 [    hooks.py:  207]:\tstep: 54910\tsteps/sec: 1.07556\tloss: 0.50646\tlr:[1.2713032e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:48:51,352 [    hooks.py:  207]:\tstep: 54920\tsteps/sec: 1.35514\tloss: 0.18122\tlr:[1.2706244e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:01,463 [    hooks.py:  207]:\tstep: 54930\tsteps/sec: 1.04010\tloss: 0.48142\tlr:[1.2699452e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:08,346 [    hooks.py:  207]:\tstep: 54940\tsteps/sec: 1.40732\tloss: 0.57958\tlr:[1.26926625e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:15,233 [    hooks.py:  207]:\tstep: 54950\tsteps/sec: 1.49317\tloss: 0.37729\tlr:[1.268587e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:23,783 [    hooks.py:  207]:\tstep: 54960\tsteps/sec: 1.14563\tloss: 0.21945\tlr:[1.2679079e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:30,596 [    hooks.py:  207]:\tstep: 54970\tsteps/sec: 1.51639\tloss: 0.25944\tlr:[1.2672292e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:37,707 [    hooks.py:  207]:\tstep: 54980\tsteps/sec: 1.37154\tloss: 0.42981\tlr:[1.2665498e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:44,379 [    hooks.py:  207]:\tstep: 54990\tsteps/sec: 1.40438\tloss: 0.44504\tlr:[1.265871e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:52,433 [    hooks.py:  207]:\tstep: 55000\tsteps/sec: 1.29821\tloss: 0.30254\tlr:[1.2651919e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:52,434 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:52,434 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:52,434 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:49:52,434 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:52,435 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c852fd0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:49:52,435 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83b1a7b8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:57:54,853 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,854 [  trainer.py:   58]:\t{'acc': 0.7895582329317269, 'loss': 0.6197588161016122}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,855 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,855 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:57:54,856 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:57:54,856 [  trainer.py:   70]:\tacc\t0.7895582329317269\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:57:54,856 [  trainer.py:   70]:\tloss\t0.6197588161016122\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 12:57:54,856 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,856 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7895582329317269, 'loss': 0.6197588161016122}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,856 [ exporter.py:   64]:\t[Best Exporter]: skip step 55000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,856 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7895582329317269, 'loss': 0.6197588161016122}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,856 [ exporter.py:  104]:\t[Best Exporter]: skip step 55000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:54,857 [monitored_executor.py:  122]:\tsaving step 55000 to ./output/model_55000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:57:58,142 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_52000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:58:08,258 [    hooks.py:  207]:\tstep: 55010\tsteps/sec: 0.02017\tloss: 0.18260\tlr:[1.264513e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:58:17,955 [    hooks.py:  207]:\tstep: 55020\tsteps/sec: 1.02608\tloss: 0.44266\tlr:[1.26383375e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 12:58:26,103 [    hooks.py:  207]:\tstep: 55030\tsteps/sec: 1.27655\tloss: 0.72709\tlr:[1.2631549e-05]\u001b[0m\n",
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     ]
    },
    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 13:01:10,900 [    hooks.py:  207]:\tstep: 55220\tsteps/sec: 1.60418\tloss: 0.20004\tlr:[1.2502528e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:04:16,999 [    hooks.py:  207]:\tstep: 55430\tsteps/sec: 1.24044\tloss: 0.57878\tlr:[1.2359923e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:05:11,381 [    hooks.py:  207]:\tstep: 55490\tsteps/sec: 0.90916\tloss: 0.11491\tlr:[1.2319181e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:05:30,261 [    hooks.py:  207]:\tstep: 55510\tsteps/sec: 1.03449\tloss: 0.33716\tlr:[1.2305599e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:05:38,226 [    hooks.py:  207]:\tstep: 55520\tsteps/sec: 1.22389\tloss: 0.07888\tlr:[1.2298811e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:05:46,409 [    hooks.py:  207]:\tstep: 55530\tsteps/sec: 1.35678\tloss: 0.75156\tlr:[1.2292018e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:05:54,571 [    hooks.py:  207]:\tstep: 55540\tsteps/sec: 1.16223\tloss: 0.53739\tlr:[1.2285229e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:06:01,538 [    hooks.py:  207]:\tstep: 55550\tsteps/sec: 1.48533\tloss: 0.27436\tlr:[1.2278438e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:06:08,018 [    hooks.py:  207]:\tstep: 55560\tsteps/sec: 1.40296\tloss: 0.53465\tlr:[1.22716465e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:06:17,539 [    hooks.py:  207]:\tstep: 55570\tsteps/sec: 1.09347\tloss: 0.09915\tlr:[1.2264856e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:06:27,051 [    hooks.py:  207]:\tstep: 55580\tsteps/sec: 1.05688\tloss: 0.34610\tlr:[1.2258064e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:06:35,197 [    hooks.py:  207]:\tstep: 55590\tsteps/sec: 1.24422\tloss: 0.17023\tlr:[1.2251276e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:06:45,728 [    hooks.py:  207]:\tstep: 55600\tsteps/sec: 0.92242\tloss: 0.63358\tlr:[1.2244485e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:07:06,553 [    hooks.py:  207]:\tstep: 55620\tsteps/sec: 1.14396\tloss: 0.12136\tlr:[1.2230903e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:07:14,067 [    hooks.py:  207]:\tstep: 55630\tsteps/sec: 1.21850\tloss: 0.14566\tlr:[1.2224115e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:07:22,904 [    hooks.py:  207]:\tstep: 55640\tsteps/sec: 1.17022\tloss: 0.32593\tlr:[1.2217323e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:07:31,508 [    hooks.py:  207]:\tstep: 55650\tsteps/sec: 1.22290\tloss: 0.85649\tlr:[1.2210533e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:07:40,573 [    hooks.py:  207]:\tstep: 55660\tsteps/sec: 1.12875\tloss: 0.31891\tlr:[1.2203741e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:07:49,075 [    hooks.py:  207]:\tstep: 55670\tsteps/sec: 1.10488\tloss: 0.30178\tlr:[1.21969515e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:07:57,661 [    hooks.py:  207]:\tstep: 55680\tsteps/sec: 1.17263\tloss: 0.52930\tlr:[1.2190161e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:08:06,066 [    hooks.py:  207]:\tstep: 55690\tsteps/sec: 1.21938\tloss: 0.23864\tlr:[1.2183372e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:08:14,915 [    hooks.py:  207]:\tstep: 55700\tsteps/sec: 1.11009\tloss: 0.21539\tlr:[1.2176578e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:08:24,605 [    hooks.py:  207]:\tstep: 55710\tsteps/sec: 1.02157\tloss: 0.80960\tlr:[1.2169787e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:08:35,425 [    hooks.py:  207]:\tstep: 55720\tsteps/sec: 0.94194\tloss: 0.32476\tlr:[1.2162999e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:08:42,699 [    hooks.py:  207]:\tstep: 55730\tsteps/sec: 1.32251\tloss: 0.48594\tlr:[1.2156207e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:08:52,209 [    hooks.py:  207]:\tstep: 55740\tsteps/sec: 1.01642\tloss: 0.18955\tlr:[1.2149417e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:01,825 [    hooks.py:  207]:\tstep: 55750\tsteps/sec: 1.11234\tloss: 0.40348\tlr:[1.2142626e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:11,291 [    hooks.py:  207]:\tstep: 55760\tsteps/sec: 1.05579\tloss: 0.45550\tlr:[1.2135838e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:18,792 [    hooks.py:  207]:\tstep: 55770\tsteps/sec: 1.30634\tloss: 0.12524\tlr:[1.2129044e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:27,913 [    hooks.py:  207]:\tstep: 55780\tsteps/sec: 1.08593\tloss: 0.27536\tlr:[1.2122256e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:34,496 [    hooks.py:  207]:\tstep: 55790\tsteps/sec: 1.52258\tloss: 0.09175\tlr:[1.2115464e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:42,251 [    hooks.py:  207]:\tstep: 55800\tsteps/sec: 1.41699\tloss: 0.21751\tlr:[1.2108675e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:09:50,850 [    hooks.py:  207]:\tstep: 55810\tsteps/sec: 1.11723\tloss: 0.12109\tlr:[1.2101883e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:00,862 [    hooks.py:  207]:\tstep: 55820\tsteps/sec: 0.99828\tloss: 0.29857\tlr:[1.20950945e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:09,511 [    hooks.py:  207]:\tstep: 55830\tsteps/sec: 1.11251\tloss: 0.23290\tlr:[1.2088303e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:16,664 [    hooks.py:  207]:\tstep: 55840\tsteps/sec: 1.44889\tloss: 0.27330\tlr:[1.2081512e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:23,820 [    hooks.py:  207]:\tstep: 55850\tsteps/sec: 1.29863\tloss: 0.48336\tlr:[1.2074723e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:32,821 [    hooks.py:  207]:\tstep: 55860\tsteps/sec: 1.15534\tloss: 0.21193\tlr:[1.206793e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 13:10:38,759 [    hooks.py:  207]:\tstep: 55870\tsteps/sec: 1.68932\tloss: 0.47572\tlr:[1.2061141e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:48,204 [    hooks.py:  207]:\tstep: 55880\tsteps/sec: 1.05308\tloss: 0.39769\tlr:[1.2054348e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:10:58,852 [    hooks.py:  207]:\tstep: 55890\tsteps/sec: 0.93754\tloss: 0.48302\tlr:[1.2047559e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:11:06,438 [    hooks.py:  207]:\tstep: 55900\tsteps/sec: 1.38210\tloss: 0.29142\tlr:[1.2040768e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:11:14,161 [    hooks.py:  207]:\tstep: 55910\tsteps/sec: 1.19460\tloss: 0.27627\tlr:[1.2033978e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:11:24,285 [    hooks.py:  207]:\tstep: 55920\tsteps/sec: 1.02715\tloss: 0.46165\tlr:[1.2027187e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:11:32,692 [    hooks.py:  207]:\tstep: 55930\tsteps/sec: 1.17122\tloss: 0.43259\tlr:[1.2020397e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:11:42,580 [    hooks.py:  207]:\tstep: 55940\tsteps/sec: 1.01340\tloss: 0.29252\tlr:[1.2013605e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:11:53,209 [    hooks.py:  207]:\tstep: 55950\tsteps/sec: 0.93893\tloss: 0.44666\tlr:[1.2006817e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:02,004 [    hooks.py:  207]:\tstep: 55960\tsteps/sec: 1.16322\tloss: 0.28549\tlr:[1.2000025e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:11,525 [    hooks.py:  207]:\tstep: 55970\tsteps/sec: 1.05672\tloss: 0.43527\tlr:[1.19932365e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:18,573 [    hooks.py:  207]:\tstep: 55980\tsteps/sec: 1.36306\tloss: 0.18068\tlr:[1.1986444e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:27,296 [    hooks.py:  207]:\tstep: 55990\tsteps/sec: 1.17352\tloss: 0.61940\tlr:[1.1979652e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:36,482 [    hooks.py:  207]:\tstep: 56000\tsteps/sec: 1.09835\tloss: 0.09541\tlr:[1.1972863e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:36,483 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:36,483 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:36,483 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:12:36,483 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:36,483 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf606c6b00>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:12:36,484 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83fd7ba8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:20:46,868 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,869 [  trainer.py:   58]:\t{'acc': 0.7855421686746988, 'loss': 0.6036989387029257}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,870 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,870 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:20:46,871 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:20:46,871 [  trainer.py:   70]:\tacc\t0.7855421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:20:46,871 [  trainer.py:   70]:\tloss\t0.6036989387029257\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:20:46,871 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,871 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6036989387029257}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,871 [ exporter.py:   64]:\t[Best Exporter]: skip step 56000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,871 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6036989387029257}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,871 [ exporter.py:  104]:\t[Best Exporter]: skip step 56000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:46,872 [monitored_executor.py:  122]:\tsaving step 56000 to ./output/model_56000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:50,047 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_53000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:20:58,692 [    hooks.py:  207]:\tstep: 56010\tsteps/sec: 0.01991\tloss: 0.34896\tlr:[1.1966071e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:21:06,036 [    hooks.py:  207]:\tstep: 56020\tsteps/sec: 1.40941\tloss: 0.36055\tlr:[1.1959282e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:21:14,280 [    hooks.py:  207]:\tstep: 56030\tsteps/sec: 1.17914\tloss: 0.42855\tlr:[1.1952491e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:21:22,750 [    hooks.py:  207]:\tstep: 56040\tsteps/sec: 1.12113\tloss: 0.40352\tlr:[1.1945702e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:21:31,191 [    hooks.py:  207]:\tstep: 56050\tsteps/sec: 1.29028\tloss: 0.24038\tlr:[1.1938909e-05]\u001b[0m\n",
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     ]
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      "\u001b[37m[DEBUG] 2019-09-19 13:35:04,593 [    hooks.py:  207]:\tstep: 56980\tsteps/sec: 0.92970\tloss: 0.07730\tlr:[1.1307389e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:35:23,031 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:35:23,031 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:35:23,031 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:35:23,031 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:35:23,031 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c694d30>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:35:23,031 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c6c86a0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:43:34,687 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,688 [  trainer.py:   58]:\t{'acc': 0.793574297188755, 'loss': 0.6033463256958967}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,689 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,689 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:43:34,690 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:43:34,690 [  trainer.py:   70]:\tacc\t0.793574297188755\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:43:34,690 [  trainer.py:   70]:\tloss\t0.6033463256958967\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:43:34,690 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,691 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,691 [ exporter.py:   52]:\t[Best Exporter]: export to ./output/best_model\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,692 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_39000']\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:34,692 [monitored_executor.py:  122]:\tsaving step 57000 to ./output/best_model/model_57000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:35,647 [monitored_executor.py:  138]:\tNo. of ckpt exceed 1, clean up: ./output/best_model/model_39000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:35,648 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}} \n",
      "old: {'eval': {'acc': 0.7919678714859437, 'loss': 0.5662454146509751}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:35,648 [ exporter.py:   77]:\t[Best Exporter]: export to ./output/best\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:35,649 [ exporter.py:   90]:\t[Best Exporter]: save inference model: \"inference\" to ./output/best/inference\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:36,909 [monitored_executor.py:  122]:\tsaving step 57000 to ./output/model_57000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:40,242 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_54000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:48,353 [    hooks.py:  207]:\tstep: 57010\tsteps/sec: 0.01979\tloss: 0.09690\tlr:[1.1287017e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:43:58,270 [    hooks.py:  207]:\tstep: 57020\tsteps/sec: 1.00217\tloss: 0.51780\tlr:[1.1280224e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:44:08,243 [    hooks.py:  207]:\tstep: 57030\tsteps/sec: 1.01002\tloss: 0.30172\tlr:[1.1273434e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:44:19,155 [    hooks.py:  207]:\tstep: 57040\tsteps/sec: 0.89903\tloss: 0.44026\tlr:[1.1266644e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:44:27,431 [    hooks.py:  207]:\tstep: 57050\tsteps/sec: 1.22479\tloss: 0.61750\tlr:[1.1259854e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:44:38,452 [    hooks.py:  207]:\tstep: 57060\tsteps/sec: 0.87805\tloss: 0.39321\tlr:[1.12530615e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:44:48,554 [    hooks.py:  207]:\tstep: 57070\tsteps/sec: 1.03709\tloss: 0.62982\tlr:[1.1246273e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:44:56,360 [    hooks.py:  207]:\tstep: 57080\tsteps/sec: 1.25084\tloss: 0.30863\tlr:[1.1239482e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:06,126 [    hooks.py:  207]:\tstep: 57090\tsteps/sec: 1.05024\tloss: 0.49033\tlr:[1.12326925e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:16,594 [    hooks.py:  207]:\tstep: 57100\tsteps/sec: 0.96695\tloss: 0.22689\tlr:[1.12259e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:25,368 [    hooks.py:  207]:\tstep: 57110\tsteps/sec: 1.11201\tloss: 0.66676\tlr:[1.1219111e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:32,667 [    hooks.py:  207]:\tstep: 57120\tsteps/sec: 1.34165\tloss: 0.06504\tlr:[1.121232e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:42,125 [    hooks.py:  207]:\tstep: 57130\tsteps/sec: 1.17791\tloss: 0.40743\tlr:[1.120553e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:50,935 [    hooks.py:  207]:\tstep: 57140\tsteps/sec: 1.05058\tloss: 0.45531\tlr:[1.1198738e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:45:59,276 [    hooks.py:  207]:\tstep: 57150\tsteps/sec: 1.17126\tloss: 0.56582\tlr:[1.1191951e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:07,778 [    hooks.py:  207]:\tstep: 57160\tsteps/sec: 1.22262\tloss: 0.17449\tlr:[1.118516e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:14,511 [    hooks.py:  207]:\tstep: 57170\tsteps/sec: 1.36980\tloss: 0.22856\tlr:[1.1178367e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:24,087 [    hooks.py:  207]:\tstep: 57180\tsteps/sec: 1.08687\tloss: 0.31703\tlr:[1.1171577e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:32,846 [    hooks.py:  207]:\tstep: 57190\tsteps/sec: 1.16438\tloss: 0.25963\tlr:[1.1164786e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:40,828 [    hooks.py:  207]:\tstep: 57200\tsteps/sec: 1.28328\tloss: 0.18695\tlr:[1.1157996e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:49,731 [    hooks.py:  207]:\tstep: 57210\tsteps/sec: 1.07034\tloss: 0.40310\tlr:[1.11512045e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:46:56,936 [    hooks.py:  207]:\tstep: 57220\tsteps/sec: 1.44908\tloss: 0.51321\tlr:[1.1144416e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:05,117 [    hooks.py:  207]:\tstep: 57230\tsteps/sec: 1.19472\tloss: 0.58738\tlr:[1.1137624e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:13,382 [    hooks.py:  207]:\tstep: 57240\tsteps/sec: 1.19586\tloss: 0.25353\tlr:[1.11308345e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:21,162 [    hooks.py:  207]:\tstep: 57250\tsteps/sec: 1.27193\tloss: 0.23252\tlr:[1.1124043e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:30,749 [    hooks.py:  207]:\tstep: 57260\tsteps/sec: 1.07014\tloss: 0.79141\tlr:[1.1117252e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:37,929 [    hooks.py:  207]:\tstep: 57270\tsteps/sec: 1.39103\tloss: 0.65600\tlr:[1.111046e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:47,195 [    hooks.py:  207]:\tstep: 57280\tsteps/sec: 1.10043\tloss: 0.54555\tlr:[1.1103673e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:47:56,033 [    hooks.py:  207]:\tstep: 57290\tsteps/sec: 1.10477\tloss: 0.38990\tlr:[1.10968795e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:04,556 [    hooks.py:  207]:\tstep: 57300\tsteps/sec: 1.11807\tloss: 0.30196\tlr:[1.1090091e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:15,531 [    hooks.py:  207]:\tstep: 57310\tsteps/sec: 0.93231\tloss: 0.43212\tlr:[1.1083299e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:23,813 [    hooks.py:  207]:\tstep: 57320\tsteps/sec: 1.19753\tloss: 0.14085\tlr:[1.1076508e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:32,363 [    hooks.py:  207]:\tstep: 57330\tsteps/sec: 1.23882\tloss: 0.03473\tlr:[1.1069718e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:40,022 [    hooks.py:  207]:\tstep: 57340\tsteps/sec: 1.25891\tloss: 0.27214\tlr:[1.1062926e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:48,748 [    hooks.py:  207]:\tstep: 57350\tsteps/sec: 1.12965\tloss: 0.34758\tlr:[1.1056137e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:48:57,562 [    hooks.py:  207]:\tstep: 57360\tsteps/sec: 1.17741\tloss: 0.14968\tlr:[1.1049346e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:49:06,358 [    hooks.py:  207]:\tstep: 57370\tsteps/sec: 1.11992\tloss: 0.45500\tlr:[1.1042556e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:49:14,654 [    hooks.py:  207]:\tstep: 57380\tsteps/sec: 1.18761\tloss: 0.26876\tlr:[1.1035765e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:49:22,993 [    hooks.py:  207]:\tstep: 57390\tsteps/sec: 1.18003\tloss: 0.09902\tlr:[1.1028975e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 13:49:34,081 [    hooks.py:  207]:\tstep: 57400\tsteps/sec: 0.91076\tloss: 0.33519\tlr:[1.1022184e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:49:43,045 [    hooks.py:  207]:\tstep: 57410\tsteps/sec: 1.10212\tloss: 0.42895\tlr:[1.1015395e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:49:52,766 [    hooks.py:  207]:\tstep: 57420\tsteps/sec: 1.07841\tloss: 0.69676\tlr:[1.1008602e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:50:01,994 [    hooks.py:  207]:\tstep: 57430\tsteps/sec: 1.08838\tloss: 0.13605\tlr:[1.1001813e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:50:24,120 [    hooks.py:  207]:\tstep: 57460\tsteps/sec: 1.31462\tloss: 0.25723\tlr:[1.0981442e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:50:31,461 [    hooks.py:  207]:\tstep: 57470\tsteps/sec: 1.34584\tloss: 0.37427\tlr:[1.0974648e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:50:48,558 [    hooks.py:  207]:\tstep: 57490\tsteps/sec: 1.14950\tloss: 0.21933\tlr:[1.0961067e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:50:56,398 [    hooks.py:  207]:\tstep: 57500\tsteps/sec: 1.24609\tloss: 0.20660\tlr:[1.0954279e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:04,315 [    hooks.py:  207]:\tstep: 57510\tsteps/sec: 1.28573\tloss: 0.39484\tlr:[1.0947488e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:11,414 [    hooks.py:  207]:\tstep: 57520\tsteps/sec: 1.37912\tloss: 0.25937\tlr:[1.0940699e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:19,479 [    hooks.py:  207]:\tstep: 57530\tsteps/sec: 1.22650\tloss: 0.20643\tlr:[1.0933906e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:30,155 [    hooks.py:  207]:\tstep: 57540\tsteps/sec: 0.96299\tloss: 0.02677\tlr:[1.0927118e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:40,854 [    hooks.py:  207]:\tstep: 57550\tsteps/sec: 0.98600\tloss: 0.09481\tlr:[1.0920326e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:48,266 [    hooks.py:  207]:\tstep: 57560\tsteps/sec: 1.19392\tloss: 0.06520\tlr:[1.0913536e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:51:57,382 [    hooks.py:  207]:\tstep: 57570\tsteps/sec: 1.18226\tloss: 0.45781\tlr:[1.0906744e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:05,359 [    hooks.py:  207]:\tstep: 57580\tsteps/sec: 1.19577\tloss: 0.32237\tlr:[1.0899957e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:13,623 [    hooks.py:  207]:\tstep: 57590\tsteps/sec: 1.22582\tloss: 0.09684\tlr:[1.08931645e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:20,832 [    hooks.py:  207]:\tstep: 57600\tsteps/sec: 1.39856\tloss: 0.47834\tlr:[1.0886374e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:28,719 [    hooks.py:  207]:\tstep: 57610\tsteps/sec: 1.19326\tloss: 0.12127\tlr:[1.0879583e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:38,461 [    hooks.py:  207]:\tstep: 57620\tsteps/sec: 1.07083\tloss: 0.39796\tlr:[1.0872791e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:48,765 [    hooks.py:  207]:\tstep: 57630\tsteps/sec: 0.97413\tloss: 0.45396\tlr:[1.0866002e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:52:56,348 [    hooks.py:  207]:\tstep: 57640\tsteps/sec: 1.34587\tloss: 0.33470\tlr:[1.0859209e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:53:06,309 [    hooks.py:  207]:\tstep: 57650\tsteps/sec: 1.00110\tloss: 0.24601\tlr:[1.0852421e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:53:14,904 [    hooks.py:  207]:\tstep: 57660\tsteps/sec: 1.14291\tloss: 0.38151\tlr:[1.084563e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:53:25,597 [    hooks.py:  207]:\tstep: 57670\tsteps/sec: 0.91054\tloss: 0.39870\tlr:[1.0838839e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:53:36,644 [    hooks.py:  207]:\tstep: 57680\tsteps/sec: 0.95506\tloss: 0.69400\tlr:[1.0832048e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:53:46,477 [    hooks.py:  207]:\tstep: 57690\tsteps/sec: 0.97452\tloss: 0.33731\tlr:[1.0825259e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:53:54,775 [    hooks.py:  207]:\tstep: 57700\tsteps/sec: 1.22630\tloss: 0.14595\tlr:[1.0818467e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:54:13,172 [    hooks.py:  207]:\tstep: 57720\tsteps/sec: 1.25433\tloss: 0.50604\tlr:[1.0804886e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 13:54:30,343 [    hooks.py:  207]:\tstep: 57740\tsteps/sec: 1.14524\tloss: 0.51687\tlr:[1.0791306e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:54:36,983 [    hooks.py:  207]:\tstep: 57750\tsteps/sec: 1.47066\tloss: 0.08549\tlr:[1.0784517e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:54:46,116 [    hooks.py:  207]:\tstep: 57760\tsteps/sec: 1.11395\tloss: 0.06778\tlr:[1.0777725e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:54:54,294 [    hooks.py:  207]:\tstep: 57770\tsteps/sec: 1.16208\tloss: 0.06556\tlr:[1.0770932e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:02,888 [    hooks.py:  207]:\tstep: 57780\tsteps/sec: 1.24261\tloss: 0.30110\tlr:[1.0764144e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:10,610 [    hooks.py:  207]:\tstep: 57790\tsteps/sec: 1.21325\tloss: 0.47432\tlr:[1.0757352e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:22,220 [    hooks.py:  207]:\tstep: 57800\tsteps/sec: 0.87603\tloss: 0.47143\tlr:[1.0750563e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:32,153 [    hooks.py:  207]:\tstep: 57810\tsteps/sec: 1.05550\tloss: 0.67732\tlr:[1.074377e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:40,919 [    hooks.py:  207]:\tstep: 57820\tsteps/sec: 1.16597\tloss: 0.24217\tlr:[1.0736981e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:47,843 [    hooks.py:  207]:\tstep: 57830\tsteps/sec: 1.35862\tloss: 0.31502\tlr:[1.07301885e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:55:56,668 [    hooks.py:  207]:\tstep: 57840\tsteps/sec: 1.14438\tloss: 0.19589\tlr:[1.0723401e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:04,788 [    hooks.py:  207]:\tstep: 57850\tsteps/sec: 1.19853\tloss: 0.49236\tlr:[1.0716609e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:12,222 [    hooks.py:  207]:\tstep: 57860\tsteps/sec: 1.43004\tloss: 0.38686\tlr:[1.07098185e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:23,005 [    hooks.py:  207]:\tstep: 57870\tsteps/sec: 0.91260\tloss: 0.35384\tlr:[1.0703028e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:32,321 [    hooks.py:  207]:\tstep: 57880\tsteps/sec: 1.06267\tloss: 0.37141\tlr:[1.0696239e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:41,964 [    hooks.py:  207]:\tstep: 57890\tsteps/sec: 1.12314\tloss: 0.15384\tlr:[1.0689448e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:50,241 [    hooks.py:  207]:\tstep: 57900\tsteps/sec: 1.08775\tloss: 0.15638\tlr:[1.0682657e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:56:58,930 [    hooks.py:  207]:\tstep: 57910\tsteps/sec: 1.16257\tloss: 0.28207\tlr:[1.0675866e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:05,921 [    hooks.py:  207]:\tstep: 57920\tsteps/sec: 1.42719\tloss: 0.27425\tlr:[1.0669074e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:13,738 [    hooks.py:  207]:\tstep: 57930\tsteps/sec: 1.26625\tloss: 0.35547\tlr:[1.0662284e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:22,177 [    hooks.py:  207]:\tstep: 57940\tsteps/sec: 1.23924\tloss: 0.15418\tlr:[1.06554935e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:31,480 [    hooks.py:  207]:\tstep: 57950\tsteps/sec: 1.06911\tloss: 0.17870\tlr:[1.0648704e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:39,268 [    hooks.py:  207]:\tstep: 57960\tsteps/sec: 1.23412\tloss: 0.47845\tlr:[1.0641912e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:46,968 [    hooks.py:  207]:\tstep: 57970\tsteps/sec: 1.28558\tloss: 0.20050\tlr:[1.06351235e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:57:55,451 [    hooks.py:  207]:\tstep: 57980\tsteps/sec: 1.19998\tloss: 0.39417\tlr:[1.0628331e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:03,712 [    hooks.py:  207]:\tstep: 57990\tsteps/sec: 1.20572\tloss: 0.37581\tlr:[1.0621541e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:12,205 [    hooks.py:  207]:\tstep: 58000\tsteps/sec: 1.22471\tloss: 0.54477\tlr:[1.0614751e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:12,206 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:12,206 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:12,206 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 13:58:12,206 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:12,206 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83b6eef0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 13:58:12,206 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c60ccc0>\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 14:06:25,783 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,785 [  trainer.py:   58]:\t{'acc': 0.7871485943775101, 'loss': 0.6148386448144149}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,785 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,786 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:06:25,786 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:06:25,786 [  trainer.py:   70]:\tacc\t0.7871485943775101\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:06:25,786 [  trainer.py:   70]:\tloss\t0.6148386448144149\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:06:25,787 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,787 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7871485943775101, 'loss': 0.6148386448144149}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,787 [ exporter.py:   64]:\t[Best Exporter]: skip step 58000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,787 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7871485943775101, 'loss': 0.6148386448144149}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,787 [ exporter.py:  104]:\t[Best Exporter]: skip step 58000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:25,788 [monitored_executor.py:  122]:\tsaving step 58000 to ./output/model_58000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:28,980 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_55000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:36,969 [    hooks.py:  207]:\tstep: 58010\tsteps/sec: 0.01981\tloss: 0.02397\tlr:[1.0607961e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:47,077 [    hooks.py:  207]:\tstep: 58020\tsteps/sec: 0.99710\tloss: 0.28637\tlr:[1.060117e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:06:56,966 [    hooks.py:  207]:\tstep: 58030\tsteps/sec: 0.99326\tloss: 0.50033\tlr:[1.059438e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:07:07,439 [    hooks.py:  207]:\tstep: 58040\tsteps/sec: 0.97504\tloss: 0.46614\tlr:[1.0587589e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:07:14,637 [    hooks.py:  207]:\tstep: 58050\tsteps/sec: 1.30377\tloss: 0.40581\tlr:[1.05807985e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:07:23,670 [    hooks.py:  207]:\tstep: 58060\tsteps/sec: 1.12084\tloss: 0.43400\tlr:[1.0574007e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:07:43,265 [    hooks.py:  207]:\tstep: 58080\tsteps/sec: 1.09669\tloss: 0.31633\tlr:[1.0560426e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:07:49,943 [    hooks.py:  207]:\tstep: 58090\tsteps/sec: 1.43998\tloss: 0.43766\tlr:[1.0553634e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:07:57,898 [    hooks.py:  207]:\tstep: 58100\tsteps/sec: 1.31360\tloss: 0.44747\tlr:[1.0546845e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:08:04,894 [    hooks.py:  207]:\tstep: 58110\tsteps/sec: 1.36116\tloss: 0.34499\tlr:[1.0540053e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:08:14,141 [    hooks.py:  207]:\tstep: 58120\tsteps/sec: 1.08116\tloss: 0.54361\tlr:[1.0533266e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:08:32,602 [    hooks.py:  207]:\tstep: 58140\tsteps/sec: 1.21726\tloss: 0.15303\tlr:[1.0519685e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:08:40,670 [    hooks.py:  207]:\tstep: 58150\tsteps/sec: 1.24970\tloss: 0.47326\tlr:[1.0512894e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:08:55,752 [    hooks.py:  207]:\tstep: 58170\tsteps/sec: 1.46465\tloss: 0.05796\tlr:[1.04993105e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:09:26,894 [    hooks.py:  207]:\tstep: 58210\tsteps/sec: 1.44876\tloss: 0.14148\tlr:[1.047215e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:09:36,008 [    hooks.py:  207]:\tstep: 58220\tsteps/sec: 1.07386\tloss: 0.75120\tlr:[1.0465357e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:09:44,500 [    hooks.py:  207]:\tstep: 58230\tsteps/sec: 1.18029\tloss: 0.19852\tlr:[1.0458568e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:09:52,847 [    hooks.py:  207]:\tstep: 58240\tsteps/sec: 1.18611\tloss: 0.24634\tlr:[1.0451776e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:03,690 [    hooks.py:  207]:\tstep: 58250\tsteps/sec: 0.93163\tloss: 0.40634\tlr:[1.0444986e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:11,938 [    hooks.py:  207]:\tstep: 58260\tsteps/sec: 1.25319\tloss: 0.32587\tlr:[1.0438194e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:19,282 [    hooks.py:  207]:\tstep: 58270\tsteps/sec: 1.31220\tloss: 0.98831\tlr:[1.0431406e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:25,862 [    hooks.py:  207]:\tstep: 58280\tsteps/sec: 1.50752\tloss: 0.38287\tlr:[1.0424614e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:35,294 [    hooks.py:  207]:\tstep: 58290\tsteps/sec: 1.06670\tloss: 0.22484\tlr:[1.0417824e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:44,419 [    hooks.py:  207]:\tstep: 58300\tsteps/sec: 1.08191\tloss: 0.23166\tlr:[1.0411033e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:10:53,150 [    hooks.py:  207]:\tstep: 58310\tsteps/sec: 1.20048\tloss: 0.30681\tlr:[1.0404245e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:00,463 [    hooks.py:  207]:\tstep: 58320\tsteps/sec: 1.33139\tloss: 0.29037\tlr:[1.0397452e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:10,186 [    hooks.py:  207]:\tstep: 58330\tsteps/sec: 1.02004\tloss: 0.57875\tlr:[1.0390663e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:18,777 [    hooks.py:  207]:\tstep: 58340\tsteps/sec: 1.17426\tloss: 0.54712\tlr:[1.0383871e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:26,082 [    hooks.py:  207]:\tstep: 58350\tsteps/sec: 1.34903\tloss: 0.23926\tlr:[1.037708e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:34,854 [    hooks.py:  207]:\tstep: 58360\tsteps/sec: 1.12615\tloss: 0.29908\tlr:[1.03702905e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:43,833 [    hooks.py:  207]:\tstep: 58370\tsteps/sec: 1.13187\tloss: 0.34994\tlr:[1.0363499e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:11:52,892 [    hooks.py:  207]:\tstep: 58380\tsteps/sec: 1.13602\tloss: 0.44555\tlr:[1.0356709e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:03,146 [    hooks.py:  207]:\tstep: 58390\tsteps/sec: 0.92985\tloss: 0.15598\tlr:[1.0349919e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:13,015 [    hooks.py:  207]:\tstep: 58400\tsteps/sec: 1.07063\tloss: 0.39121\tlr:[1.0343129e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:20,945 [    hooks.py:  207]:\tstep: 58410\tsteps/sec: 1.15812\tloss: 0.53134\tlr:[1.0336336e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:30,266 [    hooks.py:  207]:\tstep: 58420\tsteps/sec: 1.08739\tloss: 0.18563\tlr:[1.0329549e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:41,778 [    hooks.py:  207]:\tstep: 58430\tsteps/sec: 0.94940\tloss: 0.15942\tlr:[1.0322757e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:50,286 [    hooks.py:  207]:\tstep: 58440\tsteps/sec: 1.09369\tloss: 0.16058\tlr:[1.0315968e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:12:57,805 [    hooks.py:  207]:\tstep: 58450\tsteps/sec: 1.39091\tloss: 0.78559\tlr:[1.0309174e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:05,504 [    hooks.py:  207]:\tstep: 58460\tsteps/sec: 1.23272\tloss: 0.24423\tlr:[1.0302386e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:12,783 [    hooks.py:  207]:\tstep: 58470\tsteps/sec: 1.44980\tloss: 0.37780\tlr:[1.0295594e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:20,875 [    hooks.py:  207]:\tstep: 58480\tsteps/sec: 1.18165\tloss: 0.18102\tlr:[1.0288805e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:29,705 [    hooks.py:  207]:\tstep: 58490\tsteps/sec: 1.13132\tloss: 0.79545\tlr:[1.0282012e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:38,225 [    hooks.py:  207]:\tstep: 58500\tsteps/sec: 1.20287\tloss: 0.33272\tlr:[1.0275221e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:45,154 [    hooks.py:  207]:\tstep: 58510\tsteps/sec: 1.38977\tloss: 0.15675\tlr:[1.0268432e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:13:53,777 [    hooks.py:  207]:\tstep: 58520\tsteps/sec: 1.18593\tloss: 0.29027\tlr:[1.0261641e-05]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 14:14:00,314 [    hooks.py:  207]:\tstep: 58530\tsteps/sec: 1.42421\tloss: 0.06522\tlr:[1.0254851e-05]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:15:28,822 [    hooks.py:  207]:\tstep: 58630\tsteps/sec: 1.19179\tloss: 0.25949\tlr:[1.0186946e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:15:38,599 [    hooks.py:  207]:\tstep: 58640\tsteps/sec: 1.02791\tloss: 0.22864\tlr:[1.0180154e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:15:49,935 [    hooks.py:  207]:\tstep: 58650\tsteps/sec: 0.86769\tloss: 0.18795\tlr:[1.0173363e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:15:58,533 [    hooks.py:  207]:\tstep: 58660\tsteps/sec: 1.21166\tloss: 0.17166\tlr:[1.0166574e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:07,786 [    hooks.py:  207]:\tstep: 58670\tsteps/sec: 1.04553\tloss: 0.23485\tlr:[1.0159782e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:16,011 [    hooks.py:  207]:\tstep: 58680\tsteps/sec: 1.21926\tloss: 0.55187\tlr:[1.0152994e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:24,629 [    hooks.py:  207]:\tstep: 58690\tsteps/sec: 1.16016\tloss: 0.65326\tlr:[1.01462e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:34,675 [    hooks.py:  207]:\tstep: 58700\tsteps/sec: 1.02072\tloss: 0.15313\tlr:[1.0139413e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:42,571 [    hooks.py:  207]:\tstep: 58710\tsteps/sec: 1.34079\tloss: 0.18235\tlr:[1.0132621e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:50,013 [    hooks.py:  207]:\tstep: 58720\tsteps/sec: 1.22030\tloss: 0.43953\tlr:[1.0125831e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:16:58,612 [    hooks.py:  207]:\tstep: 58730\tsteps/sec: 1.20337\tloss: 0.18304\tlr:[1.011904e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:05,637 [    hooks.py:  207]:\tstep: 58740\tsteps/sec: 1.37724\tloss: 0.31989\tlr:[1.0112251e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:13,669 [    hooks.py:  207]:\tstep: 58750\tsteps/sec: 1.17690\tloss: 0.12060\tlr:[1.0105458e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:22,099 [    hooks.py:  207]:\tstep: 58760\tsteps/sec: 1.23679\tloss: 0.27009\tlr:[1.0098669e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:30,330 [    hooks.py:  207]:\tstep: 58770\tsteps/sec: 1.23961\tloss: 0.12847\tlr:[1.0091877e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:38,740 [    hooks.py:  207]:\tstep: 58780\tsteps/sec: 1.19226\tloss: 0.25380\tlr:[1.00850875e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:45,316 [    hooks.py:  207]:\tstep: 58790\tsteps/sec: 1.50527\tloss: 0.28932\tlr:[1.0078297e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:17:53,694 [    hooks.py:  207]:\tstep: 58800\tsteps/sec: 1.21671\tloss: 0.60273\tlr:[1.0071504e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:02,101 [    hooks.py:  207]:\tstep: 58810\tsteps/sec: 1.19153\tloss: 0.62015\tlr:[1.0064716e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:13,107 [    hooks.py:  207]:\tstep: 58820\tsteps/sec: 0.91751\tloss: 0.41843\tlr:[1.0057923e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:21,744 [    hooks.py:  207]:\tstep: 58830\tsteps/sec: 1.10586\tloss: 0.21169\tlr:[1.0051134e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:34,181 [    hooks.py:  207]:\tstep: 58840\tsteps/sec: 0.81859\tloss: 0.16824\tlr:[1.0044343e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:43,126 [    hooks.py:  207]:\tstep: 58850\tsteps/sec: 1.08700\tloss: 0.04514\tlr:[1.0037555e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:50,962 [    hooks.py:  207]:\tstep: 58860\tsteps/sec: 1.25041\tloss: 0.72922\tlr:[1.0030762e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:18:59,980 [    hooks.py:  207]:\tstep: 58870\tsteps/sec: 1.14926\tloss: 0.24101\tlr:[1.0023973e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:19:09,396 [    hooks.py:  207]:\tstep: 58880\tsteps/sec: 1.05444\tloss: 0.56714\tlr:[1.0017182e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:19:18,247 [    hooks.py:  207]:\tstep: 58890\tsteps/sec: 1.17959\tloss: 0.40650\tlr:[1.0010392e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:19:26,267 [    hooks.py:  207]:\tstep: 58900\tsteps/sec: 1.13966\tloss: 0.30806\tlr:[1.00036e-05]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:19:37,113 [    hooks.py:  207]:\tstep: 58910\tsteps/sec: 0.98537\tloss: 0.36998\tlr:[9.996811e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:19:48,620 [    hooks.py:  207]:\tstep: 58920\tsteps/sec: 0.86275\tloss: 0.25144\tlr:[9.99002e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:19:55,836 [    hooks.py:  207]:\tstep: 58930\tsteps/sec: 1.35734\tloss: 0.21482\tlr:[9.9832305e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:03,846 [    hooks.py:  207]:\tstep: 58940\tsteps/sec: 1.23547\tloss: 0.46074\tlr:[9.976438e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:12,123 [    hooks.py:  207]:\tstep: 58950\tsteps/sec: 1.24673\tloss: 0.47748\tlr:[9.969646e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:20,810 [    hooks.py:  207]:\tstep: 58960\tsteps/sec: 1.12322\tloss: 0.75682\tlr:[9.962857e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:30,309 [    hooks.py:  207]:\tstep: 58970\tsteps/sec: 1.07997\tloss: 0.14575\tlr:[9.956065e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:41,260 [    hooks.py:  207]:\tstep: 58980\tsteps/sec: 0.94793\tloss: 0.41287\tlr:[9.949277e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:49,946 [    hooks.py:  207]:\tstep: 58990\tsteps/sec: 1.07716\tloss: 0.11709\tlr:[9.942483e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:58,687 [    hooks.py:  207]:\tstep: 59000\tsteps/sec: 1.15367\tloss: 0.53564\tlr:[9.935696e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:58,692 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:58,692 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:58,692 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:20:58,692 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:58,692 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf839159b0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:20:58,692 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf8392eb70>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:29:01,399 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,400 [  trainer.py:   58]:\t{'acc': 0.7779116465863454, 'loss': 0.6601010672748089}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,401 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,401 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:29:01,402 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:29:01,402 [  trainer.py:   70]:\tacc\t0.7779116465863454\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:29:01,402 [  trainer.py:   70]:\tloss\t0.6601010672748089\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:29:01,402 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,402 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.6601010672748089}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,402 [ exporter.py:   64]:\t[Best Exporter]: skip step 59000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,402 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7779116465863454, 'loss': 0.6601010672748089}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,402 [ exporter.py:  104]:\t[Best Exporter]: skip step 59000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:01,403 [monitored_executor.py:  122]:\tsaving step 59000 to ./output/model_59000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 14:29:05,564 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_56000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:14,770 [    hooks.py:  207]:\tstep: 59010\tsteps/sec: 0.02015\tloss: 0.13538\tlr:[9.928903e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:24,091 [    hooks.py:  207]:\tstep: 59020\tsteps/sec: 1.08893\tloss: 0.38227\tlr:[9.922113e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:31,797 [    hooks.py:  207]:\tstep: 59030\tsteps/sec: 1.28765\tloss: 0.11340\tlr:[9.915323e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:38,729 [    hooks.py:  207]:\tstep: 59040\tsteps/sec: 1.48917\tloss: 0.28606\tlr:[9.908534e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:46,381 [    hooks.py:  207]:\tstep: 59050\tsteps/sec: 1.25970\tloss: 0.35547\tlr:[9.901742e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:29:54,909 [    hooks.py:  207]:\tstep: 59060\tsteps/sec: 1.17821\tloss: 0.24271\tlr:[9.894953e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:30:03,197 [    hooks.py:  207]:\tstep: 59070\tsteps/sec: 1.25481\tloss: 1.01881\tlr:[9.888161e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:30:13,146 [    hooks.py:  207]:\tstep: 59080\tsteps/sec: 1.00353\tloss: 0.41832\tlr:[9.881372e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:30:20,319 [    hooks.py:  207]:\tstep: 59090\tsteps/sec: 1.34120\tloss: 0.14159\tlr:[9.8745795e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:30:28,486 [    hooks.py:  207]:\tstep: 59100\tsteps/sec: 1.25899\tloss: 0.35472\tlr:[9.867788e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:30:36,273 [    hooks.py:  207]:\tstep: 59110\tsteps/sec: 1.23246\tloss: 0.79543\tlr:[9.860999e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:30:44,868 [    hooks.py:  207]:\tstep: 59120\tsteps/sec: 1.12834\tloss: 1.24911\tlr:[9.854207e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:31:21,529 [    hooks.py:  207]:\tstep: 59170\tsteps/sec: 1.27389\tloss: 0.54407\tlr:[9.820256e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:31:32,052 [    hooks.py:  207]:\tstep: 59180\tsteps/sec: 0.96491\tloss: 0.31619\tlr:[9.813463e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:31:40,793 [    hooks.py:  207]:\tstep: 59190\tsteps/sec: 1.18951\tloss: 0.54694\tlr:[9.806675e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:31:48,871 [    hooks.py:  207]:\tstep: 59200\tsteps/sec: 1.13786\tloss: 0.40050\tlr:[9.799884e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:31:58,895 [    hooks.py:  207]:\tstep: 59210\tsteps/sec: 1.03617\tloss: 0.47808\tlr:[9.793093e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:32:06,919 [    hooks.py:  207]:\tstep: 59220\tsteps/sec: 1.19892\tloss: 0.33098\tlr:[9.786302e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:32:15,610 [    hooks.py:  207]:\tstep: 59230\tsteps/sec: 1.18277\tloss: 0.16164\tlr:[9.77951e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:32:31,739 [    hooks.py:  207]:\tstep: 59250\tsteps/sec: 1.05905\tloss: 0.23824\tlr:[9.7659295e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:32:42,523 [    hooks.py:  207]:\tstep: 59260\tsteps/sec: 1.01688\tloss: 0.57163\tlr:[9.759139e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:32:51,838 [    hooks.py:  207]:\tstep: 59270\tsteps/sec: 1.01928\tloss: 0.11963\tlr:[9.752349e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:32:58,897 [    hooks.py:  207]:\tstep: 59280\tsteps/sec: 1.33312\tloss: 0.41010\tlr:[9.7455595e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:33:08,910 [    hooks.py:  207]:\tstep: 59290\tsteps/sec: 1.05480\tloss: 0.09734\tlr:[9.738768e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:33:18,371 [    hooks.py:  207]:\tstep: 59300\tsteps/sec: 1.06646\tloss: 0.21778\tlr:[9.73198e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:33:26,879 [    hooks.py:  207]:\tstep: 59310\tsteps/sec: 1.14892\tloss: 0.10358\tlr:[9.725187e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:33:34,025 [    hooks.py:  207]:\tstep: 59320\tsteps/sec: 1.42501\tloss: 0.49695\tlr:[9.718398e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:33:42,924 [    hooks.py:  207]:\tstep: 59330\tsteps/sec: 1.08576\tloss: 0.07962\tlr:[9.711606e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:33:51,794 [    hooks.py:  207]:\tstep: 59340\tsteps/sec: 1.13723\tloss: 0.20421\tlr:[9.704818e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:00,113 [    hooks.py:  207]:\tstep: 59350\tsteps/sec: 1.20611\tloss: 0.56832\tlr:[9.698025e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:08,079 [    hooks.py:  207]:\tstep: 59360\tsteps/sec: 1.30025\tloss: 0.15504\tlr:[9.691236e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:16,805 [    hooks.py:  207]:\tstep: 59370\tsteps/sec: 1.11466\tloss: 0.18408\tlr:[9.684445e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:28,054 [    hooks.py:  207]:\tstep: 59380\tsteps/sec: 0.90588\tloss: 0.63266\tlr:[9.677652e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:37,665 [    hooks.py:  207]:\tstep: 59390\tsteps/sec: 1.03806\tloss: 0.23219\tlr:[9.670863e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:45,489 [    hooks.py:  207]:\tstep: 59400\tsteps/sec: 1.24722\tloss: 0.11974\tlr:[9.6640715e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:34:53,894 [    hooks.py:  207]:\tstep: 59410\tsteps/sec: 1.22593\tloss: 0.60256\tlr:[9.657282e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:35:01,924 [    hooks.py:  207]:\tstep: 59420\tsteps/sec: 1.16388\tloss: 0.55766\tlr:[9.65049e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:35:10,626 [    hooks.py:  207]:\tstep: 59430\tsteps/sec: 1.18583\tloss: 0.46186\tlr:[9.643702e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:35:18,987 [    hooks.py:  207]:\tstep: 59440\tsteps/sec: 1.22168\tloss: 0.26083\tlr:[9.6369085e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:35:29,092 [    hooks.py:  207]:\tstep: 59450\tsteps/sec: 0.98959\tloss: 0.49076\tlr:[9.63012e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:35:37,739 [    hooks.py:  207]:\tstep: 59460\tsteps/sec: 1.17116\tloss: 0.61940\tlr:[9.623329e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:37:28,577 [    hooks.py:  207]:\tstep: 59590\tsteps/sec: 1.22608\tloss: 0.27411\tlr:[9.535051e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:37:36,462 [    hooks.py:  207]:\tstep: 59600\tsteps/sec: 1.22358\tloss: 0.14198\tlr:[9.528262e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:37:45,690 [    hooks.py:  207]:\tstep: 59610\tsteps/sec: 1.08722\tloss: 0.56516\tlr:[9.521469e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:37:55,042 [    hooks.py:  207]:\tstep: 59620\tsteps/sec: 1.03122\tloss: 0.48007\tlr:[9.514681e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:38:02,634 [    hooks.py:  207]:\tstep: 59630\tsteps/sec: 1.36526\tloss: 0.59440\tlr:[9.507889e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:38:11,627 [    hooks.py:  207]:\tstep: 59640\tsteps/sec: 1.10926\tloss: 0.06910\tlr:[9.5011e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:38:20,757 [    hooks.py:  207]:\tstep: 59650\tsteps/sec: 1.07657\tloss: 0.29769\tlr:[9.494309e-06]\u001b[0m\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 14:38:31,335 [    hooks.py:  207]:\tstep: 59660\tsteps/sec: 0.98501\tloss: 0.31987\tlr:[9.487519e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:39:21,272 [    hooks.py:  207]:\tstep: 59720\tsteps/sec: 1.50214\tloss: 0.06489\tlr:[9.446773e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:39:28,562 [    hooks.py:  207]:\tstep: 59730\tsteps/sec: 1.41238\tloss: 0.45271\tlr:[9.439986e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:39:36,100 [    hooks.py:  207]:\tstep: 59740\tsteps/sec: 1.21014\tloss: 0.29130\tlr:[9.433193e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:39:45,858 [    hooks.py:  207]:\tstep: 59750\tsteps/sec: 1.07075\tloss: 0.29058\tlr:[9.426403e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:39:53,129 [    hooks.py:  207]:\tstep: 59760\tsteps/sec: 1.42930\tloss: 0.51210\tlr:[9.419611e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:02,732 [    hooks.py:  207]:\tstep: 59770\tsteps/sec: 1.02622\tloss: 0.33576\tlr:[9.412824e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:09,129 [    hooks.py:  207]:\tstep: 59780\tsteps/sec: 1.55999\tloss: 0.10555\tlr:[9.4060315e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:17,891 [    hooks.py:  207]:\tstep: 59790\tsteps/sec: 1.15448\tloss: 0.36645\tlr:[9.399242e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:25,204 [    hooks.py:  207]:\tstep: 59800\tsteps/sec: 1.31691\tloss: 0.37871\tlr:[9.392451e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:33,410 [    hooks.py:  207]:\tstep: 59810\tsteps/sec: 1.25487\tloss: 0.39034\tlr:[9.385661e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:41,592 [    hooks.py:  207]:\tstep: 59820\tsteps/sec: 1.26989\tloss: 0.66093\tlr:[9.378869e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:40:51,325 [    hooks.py:  207]:\tstep: 59830\tsteps/sec: 0.98546\tloss: 0.44149\tlr:[9.372077e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:00,814 [    hooks.py:  207]:\tstep: 59840\tsteps/sec: 1.04636\tloss: 0.04723\tlr:[9.365288e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:09,019 [    hooks.py:  207]:\tstep: 59850\tsteps/sec: 1.25848\tloss: 0.69383\tlr:[9.358496e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:18,476 [    hooks.py:  207]:\tstep: 59860\tsteps/sec: 1.06222\tloss: 0.41518\tlr:[9.351707e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:25,247 [    hooks.py:  207]:\tstep: 59870\tsteps/sec: 1.39815\tloss: 0.08172\tlr:[9.344914e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:34,216 [    hooks.py:  207]:\tstep: 59880\tsteps/sec: 1.15963\tloss: 0.47989\tlr:[9.338126e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:41,271 [    hooks.py:  207]:\tstep: 59890\tsteps/sec: 1.48672\tloss: 0.08796\tlr:[9.331334e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:49,561 [    hooks.py:  207]:\tstep: 59900\tsteps/sec: 1.09281\tloss: 0.34643\tlr:[9.324545e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:41:59,030 [    hooks.py:  207]:\tstep: 59910\tsteps/sec: 1.11792\tloss: 0.07064\tlr:[9.317753e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:42:06,121 [    hooks.py:  207]:\tstep: 59920\tsteps/sec: 1.36133\tloss: 0.44254\tlr:[9.310964e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:42:16,583 [    hooks.py:  207]:\tstep: 59930\tsteps/sec: 0.91846\tloss: 0.16970\tlr:[9.304172e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:42:27,402 [    hooks.py:  207]:\tstep: 59940\tsteps/sec: 0.97422\tloss: 0.14394\tlr:[9.297381e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:42:36,497 [    hooks.py:  207]:\tstep: 59950\tsteps/sec: 1.07180\tloss: 0.24615\tlr:[9.29059e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:42:46,131 [    hooks.py:  207]:\tstep: 59960\tsteps/sec: 1.05141\tloss: 1.02077\tlr:[9.283802e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:42:53,506 [    hooks.py:  207]:\tstep: 59970\tsteps/sec: 1.33547\tloss: 0.23717\tlr:[9.277009e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:04,453 [    hooks.py:  207]:\tstep: 59980\tsteps/sec: 0.91878\tloss: 0.44698\tlr:[9.2702185e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:15,096 [    hooks.py:  207]:\tstep: 59990\tsteps/sec: 0.94259\tloss: 0.32151\tlr:[9.26343e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:21,195 [    hooks.py:  207]:\tstep: 60000\tsteps/sec: 1.57148\tloss: 0.22274\tlr:[9.256637e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:21,195 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:21,195 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:21,196 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:43:21,196 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:21,196 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf837fe358>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:43:21,196 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83822f60>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:51:22,411 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,412 [  trainer.py:   58]:\t{'acc': 0.7799196787148595, 'loss': 0.6426207561236925}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,412 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,413 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:51:22,413 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:51:22,413 [  trainer.py:   70]:\tacc\t0.7799196787148595\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:51:22,414 [  trainer.py:   70]:\tloss\t0.6426207561236925\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 14:51:22,414 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,414 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7799196787148595, 'loss': 0.6426207561236925}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,414 [ exporter.py:   64]:\t[Best Exporter]: skip step 60000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,414 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7799196787148595, 'loss': 0.6426207561236925}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,414 [ exporter.py:  104]:\t[Best Exporter]: skip step 60000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:22,415 [monitored_executor.py:  122]:\tsaving step 60000 to ./output/model_60000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:25,982 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_57000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:35,508 [    hooks.py:  207]:\tstep: 60010\tsteps/sec: 0.02024\tloss: 0.45992\tlr:[9.2498485e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:44,275 [    hooks.py:  207]:\tstep: 60020\tsteps/sec: 1.18751\tloss: 0.12132\tlr:[9.243056e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:51:54,009 [    hooks.py:  207]:\tstep: 60030\tsteps/sec: 1.02623\tloss: 0.96505\tlr:[9.236268e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:01,039 [    hooks.py:  207]:\tstep: 60040\tsteps/sec: 1.31462\tloss: 0.13985\tlr:[9.229477e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:10,321 [    hooks.py:  207]:\tstep: 60050\tsteps/sec: 1.10899\tloss: 0.04631\tlr:[9.2226865e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:19,826 [    hooks.py:  207]:\tstep: 60060\tsteps/sec: 1.06167\tloss: 0.15633\tlr:[9.215895e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:27,635 [    hooks.py:  207]:\tstep: 60070\tsteps/sec: 1.30831\tloss: 0.18945\tlr:[9.209107e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:36,289 [    hooks.py:  207]:\tstep: 60080\tsteps/sec: 1.13328\tloss: 0.77659\tlr:[9.202314e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:43,892 [    hooks.py:  207]:\tstep: 60090\tsteps/sec: 1.36062\tloss: 0.27872\tlr:[9.195524e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:52:51,075 [    hooks.py:  207]:\tstep: 60100\tsteps/sec: 1.34892\tloss: 0.11094\tlr:[9.188732e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:53:00,675 [    hooks.py:  207]:\tstep: 60110\tsteps/sec: 1.02950\tloss: 0.82968\tlr:[9.181944e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:53:09,399 [    hooks.py:  207]:\tstep: 60120\tsteps/sec: 1.11252\tloss: 0.16011\tlr:[9.175152e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 14:53:17,976 [    hooks.py:  207]:\tstep: 60130\tsteps/sec: 1.23934\tloss: 0.11212\tlr:[9.1683605e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:53:44,766 [    hooks.py:  207]:\tstep: 60160\tsteps/sec: 1.09851\tloss: 0.25444\tlr:[9.14799e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 14:55:30,665 [    hooks.py:  207]:\tstep: 60280\tsteps/sec: 1.17976\tloss: 0.17957\tlr:[9.066503e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:55:38,049 [    hooks.py:  207]:\tstep: 60290\tsteps/sec: 1.33727\tloss: 0.76345\tlr:[9.059713e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:55:48,297 [    hooks.py:  207]:\tstep: 60300\tsteps/sec: 1.02456\tloss: 0.51399\tlr:[9.052921e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:55:56,356 [    hooks.py:  207]:\tstep: 60310\tsteps/sec: 1.12743\tloss: 0.35042\tlr:[9.046131e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:04,797 [    hooks.py:  207]:\tstep: 60320\tsteps/sec: 1.24623\tloss: 0.27368\tlr:[9.03934e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:12,848 [    hooks.py:  207]:\tstep: 60330\tsteps/sec: 1.22021\tloss: 0.13452\tlr:[9.032551e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:20,538 [    hooks.py:  207]:\tstep: 60340\tsteps/sec: 1.31021\tloss: 0.25980\tlr:[9.025759e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:30,269 [    hooks.py:  207]:\tstep: 60350\tsteps/sec: 1.03334\tloss: 0.36848\tlr:[9.01897e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:37,504 [    hooks.py:  207]:\tstep: 60360\tsteps/sec: 1.40696\tloss: 0.74015\tlr:[9.012178e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:46,281 [    hooks.py:  207]:\tstep: 60370\tsteps/sec: 1.13273\tloss: 0.16511\tlr:[9.005389e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:56:53,715 [    hooks.py:  207]:\tstep: 60380\tsteps/sec: 1.41045\tloss: 0.31045\tlr:[8.998598e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:02,902 [    hooks.py:  207]:\tstep: 60390\tsteps/sec: 1.02382\tloss: 0.52767\tlr:[8.991809e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:12,177 [    hooks.py:  207]:\tstep: 60400\tsteps/sec: 1.08388\tloss: 0.24775\tlr:[8.985016e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:21,937 [    hooks.py:  207]:\tstep: 60410\tsteps/sec: 1.03212\tloss: 0.17547\tlr:[8.978225e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:30,016 [    hooks.py:  207]:\tstep: 60420\tsteps/sec: 1.25574\tloss: 0.38472\tlr:[8.971435e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:38,236 [    hooks.py:  207]:\tstep: 60430\tsteps/sec: 1.23794\tloss: 0.89036\tlr:[8.964644e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:49,623 [    hooks.py:  207]:\tstep: 60440\tsteps/sec: 0.86674\tloss: 0.39105\tlr:[8.957854e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:57:58,432 [    hooks.py:  207]:\tstep: 60450\tsteps/sec: 1.17446\tloss: 0.21498\tlr:[8.951062e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:05,601 [    hooks.py:  207]:\tstep: 60460\tsteps/sec: 1.32082\tloss: 0.36084\tlr:[8.944274e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:14,009 [    hooks.py:  207]:\tstep: 60470\tsteps/sec: 1.25710\tloss: 0.24390\tlr:[8.937481e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:23,822 [    hooks.py:  207]:\tstep: 60480\tsteps/sec: 1.01395\tloss: 0.42036\tlr:[8.930692e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:32,299 [    hooks.py:  207]:\tstep: 60490\tsteps/sec: 1.12576\tloss: 0.38303\tlr:[8.9239e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:40,296 [    hooks.py:  207]:\tstep: 60500\tsteps/sec: 1.28425\tloss: 0.44597\tlr:[8.917112e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:48,167 [    hooks.py:  207]:\tstep: 60510\tsteps/sec: 1.28103\tloss: 0.12618\tlr:[8.910319e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:58:57,790 [    hooks.py:  207]:\tstep: 60520\tsteps/sec: 1.03844\tloss: 0.61725\tlr:[8.903531e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:59:06,695 [    hooks.py:  207]:\tstep: 60530\tsteps/sec: 1.04818\tloss: 0.05361\tlr:[8.896738e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:59:16,295 [    hooks.py:  207]:\tstep: 60540\tsteps/sec: 1.08809\tloss: 0.48862\tlr:[8.88995e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:59:24,911 [    hooks.py:  207]:\tstep: 60550\tsteps/sec: 1.16098\tloss: 0.52472\tlr:[8.883158e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:59:35,540 [    hooks.py:  207]:\tstep: 60560\tsteps/sec: 0.91394\tloss: 0.32495\tlr:[8.876366e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:59:47,250 [    hooks.py:  207]:\tstep: 60570\tsteps/sec: 0.87252\tloss: 0.19144\tlr:[8.869577e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 14:59:53,878 [    hooks.py:  207]:\tstep: 60580\tsteps/sec: 1.53186\tloss: 0.08451\tlr:[8.862785e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:04,610 [    hooks.py:  207]:\tstep: 60590\tsteps/sec: 0.94135\tloss: 0.54942\tlr:[8.855996e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:12,026 [    hooks.py:  207]:\tstep: 60600\tsteps/sec: 1.30521\tloss: 0.90450\tlr:[8.849203e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:21,600 [    hooks.py:  207]:\tstep: 60610\tsteps/sec: 1.05323\tloss: 0.37492\tlr:[8.842415e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:30,426 [    hooks.py:  207]:\tstep: 60620\tsteps/sec: 1.13316\tloss: 0.85025\tlr:[8.835623e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:39,145 [    hooks.py:  207]:\tstep: 60630\tsteps/sec: 1.14777\tloss: 0.37817\tlr:[8.828834e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:48,950 [    hooks.py:  207]:\tstep: 60640\tsteps/sec: 1.00792\tloss: 0.35425\tlr:[8.822041e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:00:57,491 [    hooks.py:  207]:\tstep: 60650\tsteps/sec: 1.19108\tloss: 0.36475\tlr:[8.815254e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:05,728 [    hooks.py:  207]:\tstep: 60660\tsteps/sec: 1.20970\tloss: 0.17596\tlr:[8.808462e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:13,792 [    hooks.py:  207]:\tstep: 60670\tsteps/sec: 1.30112\tloss: 0.34366\tlr:[8.801672e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:21,097 [    hooks.py:  207]:\tstep: 60680\tsteps/sec: 1.30400\tloss: 0.10636\tlr:[8.79488e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:27,965 [    hooks.py:  207]:\tstep: 60690\tsteps/sec: 1.50739\tloss: 0.35956\tlr:[8.788092e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:34,734 [    hooks.py:  207]:\tstep: 60700\tsteps/sec: 1.44975\tloss: 0.57549\tlr:[8.7813e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:42,318 [    hooks.py:  207]:\tstep: 60710\tsteps/sec: 1.30956\tloss: 0.10450\tlr:[8.7745075e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:50,179 [    hooks.py:  207]:\tstep: 60720\tsteps/sec: 1.27532\tloss: 0.47885\tlr:[8.767719e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:01:59,256 [    hooks.py:  207]:\tstep: 60730\tsteps/sec: 1.12304\tloss: 0.09784\tlr:[8.760927e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:02:09,521 [    hooks.py:  207]:\tstep: 60740\tsteps/sec: 0.92997\tloss: 0.10451\tlr:[8.7541375e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:02:19,008 [    hooks.py:  207]:\tstep: 60750\tsteps/sec: 1.07632\tloss: 0.31533\tlr:[8.747345e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:02:27,890 [    hooks.py:  207]:\tstep: 60760\tsteps/sec: 1.14960\tloss: 0.71977\tlr:[8.740556e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:02:37,893 [    hooks.py:  207]:\tstep: 60770\tsteps/sec: 1.00004\tloss: 0.08221\tlr:[8.733764e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:02:45,570 [    hooks.py:  207]:\tstep: 60780\tsteps/sec: 1.22412\tloss: 0.36997\tlr:[8.726975e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 15:02:55,711 [    hooks.py:  207]:\tstep: 60790\tsteps/sec: 0.98732\tloss: 0.52906\tlr:[8.720183e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:04,086 [    hooks.py:  207]:\tstep: 60800\tsteps/sec: 1.27706\tloss: 0.42483\tlr:[8.713393e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:12,379 [    hooks.py:  207]:\tstep: 60810\tsteps/sec: 1.17907\tloss: 0.76294\tlr:[8.706602e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:20,606 [    hooks.py:  207]:\tstep: 60820\tsteps/sec: 1.16982\tloss: 0.05047\tlr:[8.699814e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:29,034 [    hooks.py:  207]:\tstep: 60830\tsteps/sec: 1.29752\tloss: 0.41265\tlr:[8.693022e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:38,188 [    hooks.py:  207]:\tstep: 60840\tsteps/sec: 1.06656\tloss: 0.43789\tlr:[8.686234e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:48,240 [    hooks.py:  207]:\tstep: 60850\tsteps/sec: 0.99005\tloss: 0.28739\tlr:[8.679441e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:03:56,479 [    hooks.py:  207]:\tstep: 60860\tsteps/sec: 1.19820\tloss: 0.03283\tlr:[8.6726495e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:05,437 [    hooks.py:  207]:\tstep: 60870\tsteps/sec: 1.07151\tloss: 0.10524\tlr:[8.665859e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:14,803 [    hooks.py:  207]:\tstep: 60880\tsteps/sec: 1.12185\tloss: 0.15209\tlr:[8.659068e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:22,967 [    hooks.py:  207]:\tstep: 60890\tsteps/sec: 1.21898\tloss: 0.20575\tlr:[8.6522805e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:30,414 [    hooks.py:  207]:\tstep: 60900\tsteps/sec: 1.26348\tloss: 0.25161\tlr:[8.6454875e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:40,018 [    hooks.py:  207]:\tstep: 60910\tsteps/sec: 1.10863\tloss: 0.38604\tlr:[8.638698e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:50,429 [    hooks.py:  207]:\tstep: 60920\tsteps/sec: 0.94664\tloss: 0.34516\tlr:[8.631907e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:04:59,595 [    hooks.py:  207]:\tstep: 60930\tsteps/sec: 1.05918\tloss: 0.50496\tlr:[8.625116e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:10,192 [    hooks.py:  207]:\tstep: 60940\tsteps/sec: 0.96595\tloss: 0.39799\tlr:[8.618325e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:19,545 [    hooks.py:  207]:\tstep: 60950\tsteps/sec: 1.09075\tloss: 0.67006\tlr:[8.611536e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:29,782 [    hooks.py:  207]:\tstep: 60960\tsteps/sec: 0.97567\tloss: 0.21732\tlr:[8.604745e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:38,076 [    hooks.py:  207]:\tstep: 60970\tsteps/sec: 1.21934\tloss: 0.26277\tlr:[8.5979555e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:45,266 [    hooks.py:  207]:\tstep: 60980\tsteps/sec: 1.33850\tloss: 0.49453\tlr:[8.591163e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:52,701 [    hooks.py:  207]:\tstep: 60990\tsteps/sec: 1.36771\tloss: 0.56895\tlr:[8.584374e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:59,312 [    hooks.py:  207]:\tstep: 61000\tsteps/sec: 1.54028\tloss: 0.62912\tlr:[8.577583e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:59,313 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:59,313 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:59,313 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:05:59,313 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:59,313 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83956f98>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:05:59,313 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83924048>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:14:00,048 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,050 [  trainer.py:   58]:\t{'acc': 0.7855421686746988, 'loss': 0.6394722750171636}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,050 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,051 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:14:00,051 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:14:00,051 [  trainer.py:   70]:\tacc\t0.7855421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:14:00,051 [  trainer.py:   70]:\tloss\t0.6394722750171636\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:14:00,051 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,051 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6394722750171636}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,052 [ exporter.py:   64]:\t[Best Exporter]: skip step 61000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,052 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6394722750171636}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,052 [ exporter.py:  104]:\t[Best Exporter]: skip step 61000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:00,053 [monitored_executor.py:  122]:\tsaving step 61000 to ./output/model_61000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:03,502 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_58000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:11,410 [    hooks.py:  207]:\tstep: 61010\tsteps/sec: 0.02031\tloss: 0.19525\tlr:[8.570792e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:21,200 [    hooks.py:  207]:\tstep: 61020\tsteps/sec: 1.00860\tloss: 0.31003\tlr:[8.564002e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:31,471 [    hooks.py:  207]:\tstep: 61030\tsteps/sec: 0.98260\tloss: 0.62665\tlr:[8.557211e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:41,476 [    hooks.py:  207]:\tstep: 61040\tsteps/sec: 1.04549\tloss: 0.38456\tlr:[8.550421e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:14:51,105 [    hooks.py:  207]:\tstep: 61050\tsteps/sec: 0.98432\tloss: 0.23951\tlr:[8.543629e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:15:00,864 [    hooks.py:  207]:\tstep: 61060\tsteps/sec: 1.03143\tloss: 0.19884\tlr:[8.53684e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:15:09,768 [    hooks.py:  207]:\tstep: 61070\tsteps/sec: 1.14339\tloss: 0.21479\tlr:[8.530048e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 15:28:18,448 [    hooks.py:  207]:\tstep: 62000\tsteps/sec: 1.52039\tloss: 0.52057\tlr:[7.898529e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:28:18,449 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:28:18,449 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:28:18,449 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:28:18,449 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:28:18,449 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83961198>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:28:18,449 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf838b75c0>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:36:20,667 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,668 [  trainer.py:   58]:\t{'acc': 0.791566265060241, 'loss': 0.621344296548229}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,669 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,669 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:36:20,669 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:36:20,669 [  trainer.py:   70]:\tacc\t0.791566265060241\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:36:20,669 [  trainer.py:   70]:\tloss\t0.621344296548229\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:36:20,669 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,669 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.791566265060241, 'loss': 0.621344296548229}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,669 [ exporter.py:   64]:\t[Best Exporter]: skip step 62000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,670 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.791566265060241, 'loss': 0.621344296548229}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,670 [ exporter.py:  104]:\t[Best Exporter]: skip step 62000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:20,671 [monitored_executor.py:  122]:\tsaving step 62000 to ./output/model_62000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:23,728 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_59000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:31,567 [    hooks.py:  207]:\tstep: 62010\tsteps/sec: 0.02027\tloss: 0.41330\tlr:[7.891736e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:41,529 [    hooks.py:  207]:\tstep: 62020\tsteps/sec: 1.03739\tloss: 0.05907\tlr:[7.884946e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:36:51,516 [    hooks.py:  207]:\tstep: 62030\tsteps/sec: 0.97043\tloss: 0.40679\tlr:[7.878155e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:01,990 [    hooks.py:  207]:\tstep: 62040\tsteps/sec: 0.96718\tloss: 0.26660\tlr:[7.871363e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:09,236 [    hooks.py:  207]:\tstep: 62050\tsteps/sec: 1.33763\tloss: 0.25671\tlr:[7.8645735e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:16,615 [    hooks.py:  207]:\tstep: 62060\tsteps/sec: 1.32463\tloss: 0.50202\tlr:[7.857781e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:26,546 [    hooks.py:  207]:\tstep: 62070\tsteps/sec: 1.00264\tloss: 0.58043\tlr:[7.850993e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:36,636 [    hooks.py:  207]:\tstep: 62080\tsteps/sec: 1.02342\tloss: 1.24279\tlr:[7.844202e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:45,394 [    hooks.py:  207]:\tstep: 62090\tsteps/sec: 1.17950\tloss: 0.08069\tlr:[7.837411e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:37:54,575 [    hooks.py:  207]:\tstep: 62100\tsteps/sec: 1.09550\tloss: 0.31552\tlr:[7.830619e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:38:02,211 [    hooks.py:  207]:\tstep: 62110\tsteps/sec: 1.21258\tloss: 0.46067\tlr:[7.823832e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:38:11,531 [    hooks.py:  207]:\tstep: 62120\tsteps/sec: 1.10367\tloss: 0.47331\tlr:[7.817041e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:38:19,672 [    hooks.py:  207]:\tstep: 62130\tsteps/sec: 1.27597\tloss: 0.37309\tlr:[7.81025e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 15:38:44,411 [    hooks.py:  207]:\tstep: 62160\tsteps/sec: 0.96296\tloss: 0.37981\tlr:[7.789877e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:38:56,200 [    hooks.py:  207]:\tstep: 62170\tsteps/sec: 0.82297\tloss: 0.16399\tlr:[7.783088e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:39:04,349 [    hooks.py:  207]:\tstep: 62180\tsteps/sec: 1.28727\tloss: 0.14233\tlr:[7.776297e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:39:12,336 [    hooks.py:  207]:\tstep: 62190\tsteps/sec: 1.20465\tloss: 0.73031\tlr:[7.769505e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:39:22,342 [    hooks.py:  207]:\tstep: 62200\tsteps/sec: 0.99960\tloss: 0.54664\tlr:[7.762715e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:39:29,891 [    hooks.py:  207]:\tstep: 62210\tsteps/sec: 1.36269\tloss: 0.41263\tlr:[7.755924e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:39:39,776 [    hooks.py:  207]:\tstep: 62220\tsteps/sec: 1.02346\tloss: 0.19705\tlr:[7.749136e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 15:39:53,795 [    hooks.py:  207]:\tstep: 62240\tsteps/sec: 1.50393\tloss: 0.40961\tlr:[7.7355535e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 15:40:17,769 [    hooks.py:  207]:\tstep: 62270\tsteps/sec: 1.05267\tloss: 0.15365\tlr:[7.715181e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:40:27,332 [    hooks.py:  207]:\tstep: 62280\tsteps/sec: 1.04604\tloss: 0.12936\tlr:[7.708392e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:40:38,305 [    hooks.py:  207]:\tstep: 62290\tsteps/sec: 0.91295\tloss: 0.45558\tlr:[7.7016e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:40:47,710 [    hooks.py:  207]:\tstep: 62300\tsteps/sec: 1.07646\tloss: 0.35269\tlr:[7.694811e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:40:55,044 [    hooks.py:  207]:\tstep: 62310\tsteps/sec: 1.39915\tloss: 0.06630\tlr:[7.68802e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:04,739 [    hooks.py:  207]:\tstep: 62320\tsteps/sec: 1.02934\tloss: 0.17980\tlr:[7.68123e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:14,650 [    hooks.py:  207]:\tstep: 62330\tsteps/sec: 1.01117\tloss: 0.49144\tlr:[7.674438e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:23,918 [    hooks.py:  207]:\tstep: 62340\tsteps/sec: 1.08491\tloss: 0.27333\tlr:[7.667646e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:30,795 [    hooks.py:  207]:\tstep: 62350\tsteps/sec: 1.36762\tloss: 0.49962\tlr:[7.660857e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:40,432 [    hooks.py:  207]:\tstep: 62360\tsteps/sec: 1.07983\tloss: 0.73812\tlr:[7.6540655e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:48,107 [    hooks.py:  207]:\tstep: 62370\tsteps/sec: 1.25923\tloss: 0.69288\tlr:[7.647276e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:41:58,923 [    hooks.py:  207]:\tstep: 62380\tsteps/sec: 0.94521\tloss: 0.21727\tlr:[7.640485e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 15:42:07,354 [    hooks.py:  207]:\tstep: 62390\tsteps/sec: 1.15689\tloss: 0.48227\tlr:[7.6336955e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 15:48:52,407 [    hooks.py:  207]:\tstep: 62880\tsteps/sec: 1.42331\tloss: 0.19838\tlr:[7.3009587e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:00,852 [    hooks.py:  207]:\tstep: 62890\tsteps/sec: 1.22528\tloss: 0.36973\tlr:[7.2941666e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:09,414 [    hooks.py:  207]:\tstep: 62900\tsteps/sec: 1.15672\tloss: 0.24687\tlr:[7.287377e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:17,922 [    hooks.py:  207]:\tstep: 62910\tsteps/sec: 1.13918\tloss: 0.26240\tlr:[7.2805856e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:26,280 [    hooks.py:  207]:\tstep: 62920\tsteps/sec: 1.20826\tloss: 1.35508\tlr:[7.273793e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:34,251 [    hooks.py:  207]:\tstep: 62930\tsteps/sec: 1.23670\tloss: 0.36777\tlr:[7.267005e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:45,083 [    hooks.py:  207]:\tstep: 62940\tsteps/sec: 0.96108\tloss: 0.19771\tlr:[7.260213e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:49:51,566 [    hooks.py:  207]:\tstep: 62950\tsteps/sec: 1.45475\tloss: 0.20112\tlr:[7.253424e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:00,848 [    hooks.py:  207]:\tstep: 62960\tsteps/sec: 1.05932\tloss: 0.42210\tlr:[7.246632e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:10,599 [    hooks.py:  207]:\tstep: 62970\tsteps/sec: 1.03989\tloss: 0.65159\tlr:[7.239842e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:19,594 [    hooks.py:  207]:\tstep: 62980\tsteps/sec: 1.15414\tloss: 0.43558\tlr:[7.233051e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:27,406 [    hooks.py:  207]:\tstep: 62990\tsteps/sec: 1.22966\tloss: 0.15914\tlr:[7.226262e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:35,747 [    hooks.py:  207]:\tstep: 63000\tsteps/sec: 1.24001\tloss: 0.70746\tlr:[7.2194703e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:35,748 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:35,752 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:35,752 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:50:35,752 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:35,752 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf60621208>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:50:35,752 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83b816a0>\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 15:58:37,769 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,770 [  trainer.py:   58]:\t{'acc': 0.7855421686746988, 'loss': 0.6381406978441354}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,771 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,771 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:58:37,772 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:58:37,772 [  trainer.py:   70]:\tacc\t0.7855421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:58:37,772 [  trainer.py:   70]:\tloss\t0.6381406978441354\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 15:58:37,772 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,772 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6381406978441354}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,772 [ exporter.py:   64]:\t[Best Exporter]: skip step 63000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,772 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6381406978441354}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,772 [ exporter.py:  104]:\t[Best Exporter]: skip step 63000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:37,773 [monitored_executor.py:  122]:\tsaving step 63000 to ./output/model_63000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:41,351 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_60000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:49,599 [    hooks.py:  207]:\tstep: 63010\tsteps/sec: 0.02024\tloss: 0.39277\tlr:[7.2126813e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:58:57,409 [    hooks.py:  207]:\tstep: 63020\tsteps/sec: 1.27474\tloss: 0.53070\tlr:[7.2058892e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:05,827 [    hooks.py:  207]:\tstep: 63030\tsteps/sec: 1.21267\tloss: 0.32906\tlr:[7.1990994e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:15,646 [    hooks.py:  207]:\tstep: 63040\tsteps/sec: 1.02379\tloss: 0.25452\tlr:[7.192309e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:24,665 [    hooks.py:  207]:\tstep: 63050\tsteps/sec: 1.12370\tloss: 0.71762\tlr:[7.1855193e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:33,169 [    hooks.py:  207]:\tstep: 63060\tsteps/sec: 1.13321\tloss: 0.10727\tlr:[7.178727e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:43,059 [    hooks.py:  207]:\tstep: 63070\tsteps/sec: 1.03894\tloss: 0.18139\tlr:[7.1719355e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:51,442 [    hooks.py:  207]:\tstep: 63080\tsteps/sec: 1.17265\tloss: 0.05662\tlr:[7.1651457e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 15:59:59,137 [    hooks.py:  207]:\tstep: 63090\tsteps/sec: 1.25210\tloss: 0.12545\tlr:[7.1583536e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:00:09,960 [    hooks.py:  207]:\tstep: 63100\tsteps/sec: 0.96598\tloss: 0.55868\tlr:[7.1515656e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:00:18,601 [    hooks.py:  207]:\tstep: 63110\tsteps/sec: 1.12152\tloss: 0.47127\tlr:[7.144773e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:00:25,470 [    hooks.py:  207]:\tstep: 63120\tsteps/sec: 1.50244\tloss: 0.32647\tlr:[7.1379845e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:00:46,038 [    hooks.py:  207]:\tstep: 63140\tsteps/sec: 1.13001\tloss: 0.10717\tlr:[7.1244035e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:00:52,882 [    hooks.py:  207]:\tstep: 63150\tsteps/sec: 1.36300\tloss: 0.08465\tlr:[7.117612e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:01:03,766 [    hooks.py:  207]:\tstep: 63160\tsteps/sec: 0.94689\tloss: 0.16663\tlr:[7.110822e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:01:13,093 [    hooks.py:  207]:\tstep: 63170\tsteps/sec: 1.07699\tloss: 0.59557\tlr:[7.104031e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:01:43,106 [    hooks.py:  207]:\tstep: 63210\tsteps/sec: 1.14707\tloss: 0.43287\tlr:[7.0768683e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:01:52,073 [    hooks.py:  207]:\tstep: 63220\tsteps/sec: 1.16905\tloss: 0.49432\tlr:[7.070076e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:01:58,909 [    hooks.py:  207]:\tstep: 63230\tsteps/sec: 1.46609\tloss: 0.59536\tlr:[7.063288e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:02:06,793 [    hooks.py:  207]:\tstep: 63240\tsteps/sec: 1.20852\tloss: 0.15614\tlr:[7.056495e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:02:15,200 [    hooks.py:  207]:\tstep: 63250\tsteps/sec: 1.28850\tloss: 0.17268\tlr:[7.049707e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:02:24,364 [    hooks.py:  207]:\tstep: 63260\tsteps/sec: 1.08277\tloss: 0.58079\tlr:[7.042915e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:02:31,337 [    hooks.py:  207]:\tstep: 63270\tsteps/sec: 1.43924\tloss: 0.21530\tlr:[7.036127e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:02:40,166 [    hooks.py:  207]:\tstep: 63280\tsteps/sec: 1.15840\tloss: 0.19085\tlr:[7.0293336e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:02:56,031 [    hooks.py:  207]:\tstep: 63300\tsteps/sec: 1.28792\tloss: 0.58152\tlr:[7.0157525e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:02,976 [    hooks.py:  207]:\tstep: 63310\tsteps/sec: 1.32904\tloss: 0.08231\tlr:[7.0089645e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:10,325 [    hooks.py:  207]:\tstep: 63320\tsteps/sec: 1.40587\tloss: 0.55186\tlr:[7.0021733e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:18,900 [    hooks.py:  207]:\tstep: 63330\tsteps/sec: 1.17859\tloss: 0.27034\tlr:[6.9953835e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:27,179 [    hooks.py:  207]:\tstep: 63340\tsteps/sec: 1.20053\tloss: 0.51611\tlr:[6.9885914e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:34,927 [    hooks.py:  207]:\tstep: 63350\tsteps/sec: 1.32991\tloss: 0.68917\tlr:[6.981802e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:44,593 [    hooks.py:  207]:\tstep: 63360\tsteps/sec: 1.03223\tloss: 0.05129\tlr:[6.97501e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:03:55,068 [    hooks.py:  207]:\tstep: 63370\tsteps/sec: 0.93574\tloss: 1.11105\tlr:[6.9682187e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:04:22,078 [    hooks.py:  207]:\tstep: 63400\tsteps/sec: 1.20232\tloss: 0.21754\tlr:[6.9478488e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:04:31,713 [    hooks.py:  207]:\tstep: 63410\tsteps/sec: 1.01393\tloss: 0.21907\tlr:[6.9410567e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:04:41,449 [    hooks.py:  207]:\tstep: 63420\tsteps/sec: 1.13655\tloss: 0.40273\tlr:[6.9342673e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:04:51,466 [    hooks.py:  207]:\tstep: 63430\tsteps/sec: 0.93981\tloss: 0.43359\tlr:[6.927476e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:04:59,968 [    hooks.py:  207]:\tstep: 63440\tsteps/sec: 1.20108\tloss: 0.39042\tlr:[6.920687e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:07,049 [    hooks.py:  207]:\tstep: 63450\tsteps/sec: 1.35432\tloss: 0.21983\tlr:[6.913894e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:14,111 [    hooks.py:  207]:\tstep: 63460\tsteps/sec: 1.44999\tloss: 0.43013\tlr:[6.907106e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:22,382 [    hooks.py:  207]:\tstep: 63470\tsteps/sec: 1.17993\tloss: 0.44908\tlr:[6.900315e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:31,137 [    hooks.py:  207]:\tstep: 63480\tsteps/sec: 1.18603\tloss: 0.54312\tlr:[6.893525e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:37,677 [    hooks.py:  207]:\tstep: 63490\tsteps/sec: 1.41602\tloss: 0.26764\tlr:[6.886733e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:47,505 [    hooks.py:  207]:\tstep: 63500\tsteps/sec: 1.05527\tloss: 0.16155\tlr:[6.879944e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:05:53,872 [    hooks.py:  207]:\tstep: 63510\tsteps/sec: 1.48854\tloss: 0.29138\tlr:[6.8731515e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:06:05,097 [    hooks.py:  207]:\tstep: 63520\tsteps/sec: 0.93970\tloss: 0.07716\tlr:[6.8663603e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 16:06:12,270 [    hooks.py:  207]:\tstep: 63530\tsteps/sec: 1.34703\tloss: 0.47536\tlr:[6.8595714e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:08:23,068 [    hooks.py:  207]:\tstep: 63690\tsteps/sec: 1.24659\tloss: 0.16236\tlr:[6.750921e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:08:32,096 [    hooks.py:  207]:\tstep: 63700\tsteps/sec: 1.11920\tloss: 0.58826\tlr:[6.744132e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:08:41,927 [    hooks.py:  207]:\tstep: 63710\tsteps/sec: 1.09549\tloss: 0.15376\tlr:[6.7373394e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:08:50,366 [    hooks.py:  207]:\tstep: 63720\tsteps/sec: 1.12729\tloss: 0.93917\tlr:[6.730551e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:08:57,601 [    hooks.py:  207]:\tstep: 63730\tsteps/sec: 1.32265\tloss: 0.29514\tlr:[6.7237593e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:06,475 [    hooks.py:  207]:\tstep: 63740\tsteps/sec: 1.15454\tloss: 0.75315\tlr:[6.7169703e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:16,223 [    hooks.py:  207]:\tstep: 63750\tsteps/sec: 1.02440\tloss: 0.83745\tlr:[6.7101782e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:24,954 [    hooks.py:  207]:\tstep: 63760\tsteps/sec: 1.15621\tloss: 0.60176\tlr:[6.7033893e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:32,509 [    hooks.py:  207]:\tstep: 63770\tsteps/sec: 1.22920\tloss: 0.12732\tlr:[6.696597e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:41,406 [    hooks.py:  207]:\tstep: 63780\tsteps/sec: 1.29106\tloss: 0.17743\tlr:[6.6898083e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:48,367 [    hooks.py:  207]:\tstep: 63790\tsteps/sec: 1.23977\tloss: 0.43547\tlr:[6.6830157e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:09:57,146 [    hooks.py:  207]:\tstep: 63800\tsteps/sec: 1.18071\tloss: 0.07353\tlr:[6.6762245e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:03,876 [    hooks.py:  207]:\tstep: 63810\tsteps/sec: 1.41450\tloss: 0.33681\tlr:[6.6694356e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:12,538 [    hooks.py:  207]:\tstep: 63820\tsteps/sec: 1.18509\tloss: 0.17615\tlr:[6.6626435e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:21,397 [    hooks.py:  207]:\tstep: 63830\tsteps/sec: 1.17437\tloss: 0.51637\tlr:[6.6558555e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:28,944 [    hooks.py:  207]:\tstep: 63840\tsteps/sec: 1.28140\tloss: 0.13252\tlr:[6.6490634e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:38,640 [    hooks.py:  207]:\tstep: 63850\tsteps/sec: 1.03484\tloss: 0.12768\tlr:[6.6422735e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:49,357 [    hooks.py:  207]:\tstep: 63860\tsteps/sec: 0.93727\tloss: 0.68982\tlr:[6.635481e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:10:59,681 [    hooks.py:  207]:\tstep: 63870\tsteps/sec: 0.98042\tloss: 0.17334\tlr:[6.6286925e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:11:07,839 [    hooks.py:  207]:\tstep: 63880\tsteps/sec: 1.19473\tloss: 0.21185\tlr:[6.621901e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:11:16,120 [    hooks.py:  207]:\tstep: 63890\tsteps/sec: 1.24163\tloss: 0.12872\tlr:[6.615112e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:11:25,527 [    hooks.py:  207]:\tstep: 63900\tsteps/sec: 1.07068\tloss: 0.05218\tlr:[6.60832e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:11:35,107 [    hooks.py:  207]:\tstep: 63910\tsteps/sec: 1.01413\tloss: 0.69691\tlr:[6.60153e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:11:43,561 [    hooks.py:  207]:\tstep: 63920\tsteps/sec: 1.19414\tloss: 0.37902\tlr:[6.5947397e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:11:53,159 [    hooks.py:  207]:\tstep: 63930\tsteps/sec: 1.02827\tloss: 0.08037\tlr:[6.58795e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:01,239 [    hooks.py:  207]:\tstep: 63940\tsteps/sec: 1.28974\tloss: 0.24487\tlr:[6.5811582e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:08,359 [    hooks.py:  207]:\tstep: 63950\tsteps/sec: 1.28578\tloss: 0.36450\tlr:[6.574366e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:17,728 [    hooks.py:  207]:\tstep: 63960\tsteps/sec: 1.06864\tloss: 0.44580\tlr:[6.567577e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:27,094 [    hooks.py:  207]:\tstep: 63970\tsteps/sec: 1.11432\tloss: 0.35555\tlr:[6.560785e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:35,322 [    hooks.py:  207]:\tstep: 63980\tsteps/sec: 1.25113\tloss: 0.32052\tlr:[6.5539953e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:44,199 [    hooks.py:  207]:\tstep: 63990\tsteps/sec: 1.04755\tloss: 0.19930\tlr:[6.5472036e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:53,606 [    hooks.py:  207]:\tstep: 64000\tsteps/sec: 1.12854\tloss: 0.54475\tlr:[6.5404147e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:53,606 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:53,606 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:53,607 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:12:53,607 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:53,607 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf838de710>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:12:53,607 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c5f4198>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:22:26,946 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,948 [  trainer.py:   58]:\t{'acc': 0.7811244979919679, 'loss': 0.645810658350969}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,948 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,949 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:22:26,950 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:22:26,950 [  trainer.py:   70]:\tacc\t0.7811244979919679\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:22:26,950 [  trainer.py:   70]:\tloss\t0.645810658350969\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:22:26,950 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,951 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7811244979919679, 'loss': 0.645810658350969}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,951 [ exporter.py:   64]:\t[Best Exporter]: skip step 64000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,951 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7811244979919679, 'loss': 0.645810658350969}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,951 [ exporter.py:  104]:\t[Best Exporter]: skip step 64000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:26,952 [monitored_executor.py:  122]:\tsaving step 64000 to ./output/model_64000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 16:22:31,181 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_61000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:40,541 [    hooks.py:  207]:\tstep: 64010\tsteps/sec: 0.01706\tloss: 0.19184\tlr:[6.5336226e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:22:53,649 [    hooks.py:  207]:\tstep: 64020\tsteps/sec: 0.72077\tloss: 0.25320\tlr:[6.526835e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:23:02,807 [    hooks.py:  207]:\tstep: 64030\tsteps/sec: 1.18589\tloss: 0.28793\tlr:[6.5200434e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:23:12,186 [    hooks.py:  207]:\tstep: 64040\tsteps/sec: 1.00144\tloss: 0.05996\tlr:[6.513254e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:23:24,318 [    hooks.py:  207]:\tstep: 64050\tsteps/sec: 0.83280\tloss: 0.06053\tlr:[6.5064614e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:23:35,270 [    hooks.py:  207]:\tstep: 64060\tsteps/sec: 0.95182\tloss: 0.20706\tlr:[6.4996725e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:23:44,033 [    hooks.py:  207]:\tstep: 64070\tsteps/sec: 1.09986\tloss: 0.34036\tlr:[6.4928813e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:24:06,951 [    hooks.py:  207]:\tstep: 64090\tsteps/sec: 1.02648\tloss: 0.24059\tlr:[6.479299e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:24:16,100 [    hooks.py:  207]:\tstep: 64100\tsteps/sec: 0.83918\tloss: 0.41655\tlr:[6.4725077e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:24:26,538 [    hooks.py:  207]:\tstep: 64110\tsteps/sec: 1.00726\tloss: 0.09971\tlr:[6.465719e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:24:37,044 [    hooks.py:  207]:\tstep: 64120\tsteps/sec: 0.92074\tloss: 0.11499\tlr:[6.4589267e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:25:31,075 [    hooks.py:  207]:\tstep: 64170\tsteps/sec: 1.06995\tloss: 0.48529\tlr:[6.424976e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:25:41,860 [    hooks.py:  207]:\tstep: 64180\tsteps/sec: 0.91338\tloss: 0.40108\tlr:[6.418184e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:25:53,170 [    hooks.py:  207]:\tstep: 64190\tsteps/sec: 0.96658\tloss: 0.27233\tlr:[6.411395e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:26:03,685 [    hooks.py:  207]:\tstep: 64200\tsteps/sec: 0.83756\tloss: 0.27706\tlr:[6.404603e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:26:13,090 [    hooks.py:  207]:\tstep: 64210\tsteps/sec: 1.08289\tloss: 0.22136\tlr:[6.397813e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:27:01,876 [    hooks.py:  207]:\tstep: 64260\tsteps/sec: 1.07211\tloss: 0.35512\tlr:[6.3638604e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:27:23,054 [    hooks.py:  207]:\tstep: 64280\tsteps/sec: 0.87466\tloss: 0.50245\tlr:[6.3502794e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:27:34,587 [    hooks.py:  207]:\tstep: 64290\tsteps/sec: 0.88855\tloss: 0.19136\tlr:[6.343487e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:28:03,868 [    hooks.py:  207]:\tstep: 64320\tsteps/sec: 1.06454\tloss: 0.29381\tlr:[6.323117e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:28:13,754 [    hooks.py:  207]:\tstep: 64330\tsteps/sec: 0.94232\tloss: 0.17196\tlr:[6.3163257e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:28:22,717 [    hooks.py:  207]:\tstep: 64340\tsteps/sec: 1.15626\tloss: 0.07257\tlr:[6.309536e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:28:29,543 [    hooks.py:  207]:\tstep: 64350\tsteps/sec: 1.45298\tloss: 0.27039\tlr:[6.3027446e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:28:38,410 [    hooks.py:  207]:\tstep: 64360\tsteps/sec: 1.14190\tloss: 0.44060\tlr:[6.2959557e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:28:48,039 [    hooks.py:  207]:\tstep: 64370\tsteps/sec: 1.03359\tloss: 0.21909\tlr:[6.289163e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:28:54,675 [    hooks.py:  207]:\tstep: 64380\tsteps/sec: 1.50862\tloss: 0.63834\tlr:[6.2823747e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:05,789 [    hooks.py:  207]:\tstep: 64390\tsteps/sec: 0.92512\tloss: 0.19988\tlr:[6.275582e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:13,019 [    hooks.py:  207]:\tstep: 64400\tsteps/sec: 1.30798\tloss: 0.44378\tlr:[6.268791e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:20,728 [    hooks.py:  207]:\tstep: 64410\tsteps/sec: 1.31394\tloss: 0.10854\tlr:[6.262002e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:28,477 [    hooks.py:  207]:\tstep: 64420\tsteps/sec: 1.25849\tloss: 0.35300\tlr:[6.2552094e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:36,477 [    hooks.py:  207]:\tstep: 64430\tsteps/sec: 1.32706\tloss: 0.46133\tlr:[6.2484205e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:44,115 [    hooks.py:  207]:\tstep: 64440\tsteps/sec: 1.26895\tloss: 0.17579\tlr:[6.241629e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:29:55,277 [    hooks.py:  207]:\tstep: 64450\tsteps/sec: 0.90822\tloss: 0.44730\tlr:[6.23484e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:30:03,635 [    hooks.py:  207]:\tstep: 64460\tsteps/sec: 1.13034\tloss: 0.31040\tlr:[6.2280474e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:30:13,186 [    hooks.py:  207]:\tstep: 64470\tsteps/sec: 1.08700\tloss: 0.39547\tlr:[6.221259e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:30:21,872 [    hooks.py:  207]:\tstep: 64480\tsteps/sec: 1.18818\tloss: 0.30765\tlr:[6.214467e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:30:30,407 [    hooks.py:  207]:\tstep: 64490\tsteps/sec: 1.16940\tloss: 0.14312\tlr:[6.207678e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:30:37,672 [    hooks.py:  207]:\tstep: 64500\tsteps/sec: 1.32824\tloss: 0.31482\tlr:[6.200886e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:30:44,588 [    hooks.py:  207]:\tstep: 64510\tsteps/sec: 1.44017\tloss: 0.24403\tlr:[6.194097e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:32:35,910 [    hooks.py:  207]:\tstep: 64640\tsteps/sec: 1.11509\tloss: 0.18538\tlr:[6.1058195e-06]\u001b[0m\n"
     ]
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     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 16:32:43,029 [    hooks.py:  207]:\tstep: 64650\tsteps/sec: 1.34009\tloss: 0.47543\tlr:[6.0990274e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:34:12,085 [    hooks.py:  207]:\tstep: 64750\tsteps/sec: 1.03909\tloss: 0.64769\tlr:[6.0311236e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:34:18,653 [    hooks.py:  207]:\tstep: 64760\tsteps/sec: 1.43681\tloss: 0.38069\tlr:[6.024331e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:34:27,449 [    hooks.py:  207]:\tstep: 64770\tsteps/sec: 1.09624\tloss: 0.42798\tlr:[6.017542e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:34:36,128 [    hooks.py:  207]:\tstep: 64780\tsteps/sec: 1.19269\tloss: 0.47181\tlr:[6.01075e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:34:46,766 [    hooks.py:  207]:\tstep: 64790\tsteps/sec: 0.97925\tloss: 0.15826\tlr:[6.003961e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:34:55,222 [    hooks.py:  207]:\tstep: 64800\tsteps/sec: 1.18653\tloss: 0.14964\tlr:[5.9971694e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:05,253 [    hooks.py:  207]:\tstep: 64810\tsteps/sec: 0.97020\tloss: 0.44286\tlr:[5.9903805e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:13,946 [    hooks.py:  207]:\tstep: 64820\tsteps/sec: 1.14959\tloss: 0.12066\tlr:[5.983588e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:23,572 [    hooks.py:  207]:\tstep: 64830\tsteps/sec: 1.03746\tloss: 0.30527\tlr:[5.9767963e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:30,734 [    hooks.py:  207]:\tstep: 64840\tsteps/sec: 1.42726\tloss: 0.19397\tlr:[5.970007e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:39,212 [    hooks.py:  207]:\tstep: 64850\tsteps/sec: 1.11625\tloss: 0.14804\tlr:[5.9632152e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:47,509 [    hooks.py:  207]:\tstep: 64860\tsteps/sec: 1.24739\tloss: 0.24640\tlr:[5.956427e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:35:55,772 [    hooks.py:  207]:\tstep: 64870\tsteps/sec: 1.29413\tloss: 0.22642\tlr:[5.949635e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:02,729 [    hooks.py:  207]:\tstep: 64880\tsteps/sec: 1.35292\tloss: 0.51028\tlr:[5.9428457e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:12,715 [    hooks.py:  207]:\tstep: 64890\tsteps/sec: 0.99568\tloss: 0.10980\tlr:[5.936053e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:18,310 [    hooks.py:  207]:\tstep: 64900\tsteps/sec: 1.66906\tloss: 0.68356\tlr:[5.9292647e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:28,200 [    hooks.py:  207]:\tstep: 64910\tsteps/sec: 1.03724\tloss: 0.54765\tlr:[5.922472e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:36,770 [    hooks.py:  207]:\tstep: 64920\tsteps/sec: 1.16103\tloss: 0.26710\tlr:[5.9156837e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:47,522 [    hooks.py:  207]:\tstep: 64930\tsteps/sec: 0.95202\tloss: 0.46830\tlr:[5.9088916e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:36:56,476 [    hooks.py:  207]:\tstep: 64940\tsteps/sec: 1.19279\tloss: 0.63734\tlr:[5.9021027e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:04,776 [    hooks.py:  207]:\tstep: 64950\tsteps/sec: 1.08485\tloss: 0.15143\tlr:[5.8953115e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:13,460 [    hooks.py:  207]:\tstep: 64960\tsteps/sec: 1.18576\tloss: 0.49951\tlr:[5.8885216e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:21,926 [    hooks.py:  207]:\tstep: 64970\tsteps/sec: 1.21416\tloss: 0.48908\tlr:[5.8817304e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:31,785 [    hooks.py:  207]:\tstep: 64980\tsteps/sec: 1.01171\tloss: 0.75993\tlr:[5.8749374e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:41,700 [    hooks.py:  207]:\tstep: 64990\tsteps/sec: 1.02494\tloss: 0.69253\tlr:[5.8681494e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:49,053 [    hooks.py:  207]:\tstep: 65000\tsteps/sec: 1.24591\tloss: 0.11480\tlr:[5.8613573e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:49,055 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:49,055 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:49,055 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:37:49,055 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:49,055 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf838d82b0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:37:49,055 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c830c18>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:45:58,117 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,118 [  trainer.py:   58]:\t{'acc': 0.791566265060241, 'loss': 0.6337882993886104}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,119 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,119 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:45:58,119 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:45:58,119 [  trainer.py:   70]:\tacc\t0.791566265060241\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:45:58,121 [  trainer.py:   70]:\tloss\t0.6337882993886104\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 16:45:58,121 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,121 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.791566265060241, 'loss': 0.6337882993886104}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,121 [ exporter.py:   64]:\t[Best Exporter]: skip step 65000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,121 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.791566265060241, 'loss': 0.6337882993886104}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,121 [ exporter.py:  104]:\t[Best Exporter]: skip step 65000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:45:58,122 [monitored_executor.py:  122]:\tsaving step 65000 to ./output/model_65000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:01,269 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_62000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:09,812 [    hooks.py:  207]:\tstep: 65010\tsteps/sec: 0.01999\tloss: 0.25345\tlr:[5.854568e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:18,263 [    hooks.py:  207]:\tstep: 65020\tsteps/sec: 1.16637\tloss: 0.15067\tlr:[5.8477763e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:28,041 [    hooks.py:  207]:\tstep: 65030\tsteps/sec: 1.03259\tloss: 0.15582\tlr:[5.8409873e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:36,114 [    hooks.py:  207]:\tstep: 65040\tsteps/sec: 1.22517\tloss: 0.11347\tlr:[5.8341957e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:46,100 [    hooks.py:  207]:\tstep: 65050\tsteps/sec: 0.99809\tloss: 0.39042\tlr:[5.827406e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:46:55,146 [    hooks.py:  207]:\tstep: 65060\tsteps/sec: 1.12584\tloss: 0.41773\tlr:[5.8206138e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:47:02,369 [    hooks.py:  207]:\tstep: 65070\tsteps/sec: 1.32102\tloss: 0.03816\tlr:[5.813825e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:47:13,879 [    hooks.py:  207]:\tstep: 65080\tsteps/sec: 0.89191\tloss: 0.18070\tlr:[5.807033e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:47:21,146 [    hooks.py:  207]:\tstep: 65090\tsteps/sec: 1.42923\tloss: 0.18847\tlr:[5.8002447e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:47:27,698 [    hooks.py:  207]:\tstep: 65100\tsteps/sec: 1.38655\tloss: 0.09467\tlr:[5.7934526e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 16:47:37,275 [    hooks.py:  207]:\tstep: 65110\tsteps/sec: 1.10736\tloss: 0.10911\tlr:[5.7866637e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:50:17,268 [    hooks.py:  207]:\tstep: 65290\tsteps/sec: 1.20836\tloss: 0.51616\tlr:[5.6644326e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:50:25,473 [    hooks.py:  207]:\tstep: 65300\tsteps/sec: 1.23878\tloss: 0.23604\tlr:[5.6576405e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:50:32,649 [    hooks.py:  207]:\tstep: 65310\tsteps/sec: 1.42273\tloss: 0.59263\tlr:[5.650851e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:50:41,689 [    hooks.py:  207]:\tstep: 65320\tsteps/sec: 1.10218\tloss: 0.27899\tlr:[5.6440595e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:50:49,724 [    hooks.py:  207]:\tstep: 65330\tsteps/sec: 1.23929\tloss: 0.56800\tlr:[5.6372705e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:50:56,833 [    hooks.py:  207]:\tstep: 65340\tsteps/sec: 1.47431\tloss: 0.24518\tlr:[5.6304784e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:51:07,562 [    hooks.py:  207]:\tstep: 65350\tsteps/sec: 0.91485\tloss: 0.49841\tlr:[5.623689e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:51:14,921 [    hooks.py:  207]:\tstep: 65360\tsteps/sec: 1.32718\tloss: 0.15249\tlr:[5.6168974e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:51:23,075 [    hooks.py:  207]:\tstep: 65370\tsteps/sec: 1.17441\tloss: 0.29427\tlr:[5.610109e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:51:32,939 [    hooks.py:  207]:\tstep: 65380\tsteps/sec: 1.04536\tloss: 0.42766\tlr:[5.6033164e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:51:43,516 [    hooks.py:  207]:\tstep: 65390\tsteps/sec: 0.94713\tloss: 0.51838\tlr:[5.5965284e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:51:52,110 [    hooks.py:  207]:\tstep: 65400\tsteps/sec: 1.23346\tloss: 0.22527\tlr:[5.5897367e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:52:01,709 [    hooks.py:  207]:\tstep: 65410\tsteps/sec: 1.02208\tloss: 0.21760\tlr:[5.5829473e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 16:52:15,826 [    hooks.py:  207]:\tstep: 65430\tsteps/sec: 1.38160\tloss: 0.45335\tlr:[5.569363e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:52:25,323 [    hooks.py:  207]:\tstep: 65440\tsteps/sec: 1.04630\tloss: 0.43351\tlr:[5.5625737e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:52:33,870 [    hooks.py:  207]:\tstep: 65450\tsteps/sec: 1.16499\tloss: 0.09099\tlr:[5.555782e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:52:41,969 [    hooks.py:  207]:\tstep: 65460\tsteps/sec: 1.29950\tloss: 0.30909\tlr:[5.548993e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:52:49,611 [    hooks.py:  207]:\tstep: 65470\tsteps/sec: 1.19785\tloss: 0.37516\tlr:[5.5422006e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:01,753 [    hooks.py:  207]:\tstep: 65480\tsteps/sec: 0.86336\tloss: 0.48213\tlr:[5.5354117e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:09,843 [    hooks.py:  207]:\tstep: 65490\tsteps/sec: 1.20249\tloss: 0.06004\tlr:[5.52862e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:18,826 [    hooks.py:  207]:\tstep: 65500\tsteps/sec: 1.07087\tloss: 0.08931\tlr:[5.521831e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:27,236 [    hooks.py:  207]:\tstep: 65510\tsteps/sec: 1.22311\tloss: 0.50536\tlr:[5.515039e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:36,016 [    hooks.py:  207]:\tstep: 65520\tsteps/sec: 1.16733\tloss: 0.15537\tlr:[5.50825e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:44,420 [    hooks.py:  207]:\tstep: 65530\tsteps/sec: 1.17159\tloss: 0.56714\tlr:[5.5014584e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:53:53,966 [    hooks.py:  207]:\tstep: 65540\tsteps/sec: 1.03718\tloss: 0.29617\tlr:[5.4946695e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:03,091 [    hooks.py:  207]:\tstep: 65550\tsteps/sec: 1.08683\tloss: 0.29062\tlr:[5.4878774e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:11,468 [    hooks.py:  207]:\tstep: 65560\tsteps/sec: 1.22217\tloss: 0.75829\tlr:[5.481088e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:19,996 [    hooks.py:  207]:\tstep: 65570\tsteps/sec: 1.17662\tloss: 0.19704\tlr:[5.474296e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:28,391 [    hooks.py:  207]:\tstep: 65580\tsteps/sec: 1.17197\tloss: 0.27587\tlr:[5.4675047e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:37,592 [    hooks.py:  207]:\tstep: 65590\tsteps/sec: 1.12502\tloss: 0.20382\tlr:[5.460716e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:45,555 [    hooks.py:  207]:\tstep: 65600\tsteps/sec: 1.23155\tloss: 0.48023\tlr:[5.4539237e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:54:54,799 [    hooks.py:  207]:\tstep: 65610\tsteps/sec: 1.09629\tloss: 0.36736\tlr:[5.4471348e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:02,675 [    hooks.py:  207]:\tstep: 65620\tsteps/sec: 1.27323\tloss: 0.29366\tlr:[5.4403426e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:11,600 [    hooks.py:  207]:\tstep: 65630\tsteps/sec: 1.12856\tloss: 0.58176\tlr:[5.4335533e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:20,418 [    hooks.py:  207]:\tstep: 65640\tsteps/sec: 1.11280\tloss: 0.26371\tlr:[5.426762e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:30,349 [    hooks.py:  207]:\tstep: 65650\tsteps/sec: 1.00509\tloss: 0.16252\tlr:[5.4199727e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:38,482 [    hooks.py:  207]:\tstep: 65660\tsteps/sec: 1.22133\tloss: 0.83979\tlr:[5.4131806e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:47,192 [    hooks.py:  207]:\tstep: 65670\tsteps/sec: 1.18313\tloss: 0.32028\tlr:[5.406392e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:55:57,215 [    hooks.py:  207]:\tstep: 65680\tsteps/sec: 1.02768\tloss: 0.24520\tlr:[5.3996e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:06,522 [    hooks.py:  207]:\tstep: 65690\tsteps/sec: 1.04076\tloss: 0.21421\tlr:[5.392811e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:13,402 [    hooks.py:  207]:\tstep: 65700\tsteps/sec: 1.32315\tloss: 0.21222\tlr:[5.386019e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:23,496 [    hooks.py:  207]:\tstep: 65710\tsteps/sec: 0.99373\tloss: 0.40474\tlr:[5.37923e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:33,199 [    hooks.py:  207]:\tstep: 65720\tsteps/sec: 1.07350\tloss: 0.26267\tlr:[5.372438e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:40,050 [    hooks.py:  207]:\tstep: 65730\tsteps/sec: 1.48923\tloss: 0.33016\tlr:[5.3656463e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:51,308 [    hooks.py:  207]:\tstep: 65740\tsteps/sec: 0.90852\tloss: 0.44412\tlr:[5.3588574e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:56:59,287 [    hooks.py:  207]:\tstep: 65750\tsteps/sec: 1.20047\tloss: 0.19471\tlr:[5.3520653e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 16:57:09,052 [    hooks.py:  207]:\tstep: 65760\tsteps/sec: 1.00423\tloss: 0.10752\tlr:[5.345277e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:57:17,115 [    hooks.py:  207]:\tstep: 65770\tsteps/sec: 1.31973\tloss: 0.27704\tlr:[5.3384842e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:57:25,328 [    hooks.py:  207]:\tstep: 65780\tsteps/sec: 1.16732\tloss: 0.54889\tlr:[5.331696e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:57:37,057 [    hooks.py:  207]:\tstep: 65790\tsteps/sec: 0.87454\tloss: 0.24315\tlr:[5.3249037e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:57:45,660 [    hooks.py:  207]:\tstep: 65800\tsteps/sec: 1.13300\tloss: 0.17173\tlr:[5.3181147e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:57:56,569 [    hooks.py:  207]:\tstep: 65810\tsteps/sec: 0.96880\tloss: 0.32215\tlr:[5.3113226e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:04,349 [    hooks.py:  207]:\tstep: 65820\tsteps/sec: 1.17974\tloss: 0.26579\tlr:[5.3045333e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:12,964 [    hooks.py:  207]:\tstep: 65830\tsteps/sec: 1.18915\tloss: 0.20616\tlr:[5.2977416e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:19,813 [    hooks.py:  207]:\tstep: 65840\tsteps/sec: 1.43143\tloss: 0.98617\tlr:[5.2909527e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:28,113 [    hooks.py:  207]:\tstep: 65850\tsteps/sec: 1.21393\tloss: 0.32651\tlr:[5.2841606e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:36,644 [    hooks.py:  207]:\tstep: 65860\tsteps/sec: 1.15394\tloss: 0.34997\tlr:[5.2773717e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:44,758 [    hooks.py:  207]:\tstep: 65870\tsteps/sec: 1.24297\tloss: 0.10103\tlr:[5.2705795e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:58:53,878 [    hooks.py:  207]:\tstep: 65880\tsteps/sec: 1.05868\tloss: 0.24189\tlr:[5.2637874e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:01,841 [    hooks.py:  207]:\tstep: 65890\tsteps/sec: 1.35241\tloss: 0.42465\tlr:[5.256999e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:11,950 [    hooks.py:  207]:\tstep: 65900\tsteps/sec: 0.99944\tloss: 0.56716\tlr:[5.250207e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:19,954 [    hooks.py:  207]:\tstep: 65910\tsteps/sec: 1.15429\tloss: 0.45536\tlr:[5.243418e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:31,256 [    hooks.py:  207]:\tstep: 65920\tsteps/sec: 0.92574\tloss: 0.18589\tlr:[5.236626e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:39,203 [    hooks.py:  207]:\tstep: 65930\tsteps/sec: 1.17690\tloss: 0.05122\tlr:[5.229837e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:48,245 [    hooks.py:  207]:\tstep: 65940\tsteps/sec: 1.15762\tloss: 0.42503\tlr:[5.223045e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 16:59:57,640 [    hooks.py:  207]:\tstep: 65950\tsteps/sec: 1.13372\tloss: 0.36502\tlr:[5.216256e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:07,963 [    hooks.py:  207]:\tstep: 65960\tsteps/sec: 0.92485\tloss: 0.28775\tlr:[5.2094642e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:16,225 [    hooks.py:  207]:\tstep: 65970\tsteps/sec: 1.22706\tloss: 0.49289\tlr:[5.2026753e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:23,404 [    hooks.py:  207]:\tstep: 65980\tsteps/sec: 1.35588\tloss: 0.45511\tlr:[5.195883e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:31,657 [    hooks.py:  207]:\tstep: 65990\tsteps/sec: 1.23285\tloss: 0.76408\tlr:[5.189094e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:40,277 [    hooks.py:  207]:\tstep: 66000\tsteps/sec: 1.14594\tloss: 0.18502\tlr:[5.182302e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:40,278 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:40,278 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:40,278 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:00:40,278 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:40,278 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83f4feb8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:00:40,278 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf60669e10>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:08:47,049 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,052 [  trainer.py:   58]:\t{'acc': 0.7855421686746988, 'loss': 0.6664952558154861}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,053 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,053 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:08:47,053 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:08:47,054 [  trainer.py:   70]:\tacc\t0.7855421686746988\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:08:47,054 [  trainer.py:   70]:\tloss\t0.6664952558154861\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:08:47,054 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,054 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6664952558154861}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,054 [ exporter.py:   64]:\t[Best Exporter]: skip step 66000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,054 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7855421686746988, 'loss': 0.6664952558154861}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,055 [ exporter.py:  104]:\t[Best Exporter]: skip step 66000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:47,055 [monitored_executor.py:  122]:\tsaving step 66000 to ./output/model_66000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:08:50,333 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_63000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:00,345 [    hooks.py:  207]:\tstep: 66010\tsteps/sec: 0.01999\tloss: 0.32327\tlr:[5.175511e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:09,698 [    hooks.py:  207]:\tstep: 66020\tsteps/sec: 1.06028\tloss: 0.40271\tlr:[5.1687216e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:17,698 [    hooks.py:  207]:\tstep: 66030\tsteps/sec: 1.29285\tloss: 0.79710\tlr:[5.1619295e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:26,688 [    hooks.py:  207]:\tstep: 66040\tsteps/sec: 1.11697\tloss: 0.16325\tlr:[5.15514e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:37,562 [    hooks.py:  207]:\tstep: 66050\tsteps/sec: 0.91952\tloss: 0.23544\tlr:[5.1483476e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:45,179 [    hooks.py:  207]:\tstep: 66060\tsteps/sec: 1.29326\tloss: 0.43532\tlr:[5.1415595e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:09:54,220 [    hooks.py:  207]:\tstep: 66070\tsteps/sec: 1.09289\tloss: 0.53608\tlr:[5.1347674e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:10:04,311 [    hooks.py:  207]:\tstep: 66080\tsteps/sec: 0.98467\tloss: 0.28504\tlr:[5.127978e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:10:11,807 [    hooks.py:  207]:\tstep: 66090\tsteps/sec: 1.34174\tloss: 0.47527\tlr:[5.121187e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:10:19,824 [    hooks.py:  207]:\tstep: 66100\tsteps/sec: 1.25759\tloss: 0.53127\tlr:[5.1143975e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:10:26,663 [    hooks.py:  207]:\tstep: 66110\tsteps/sec: 1.49849\tloss: 0.37126\tlr:[5.1076054e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:23:16,932 [    hooks.py:  207]:\tstep: 66970\tsteps/sec: 1.26300\tloss: 0.34360\tlr:[4.5236175e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:26,664 [    hooks.py:  207]:\tstep: 66980\tsteps/sec: 1.05358\tloss: 0.15750\tlr:[4.5168285e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:33,765 [    hooks.py:  207]:\tstep: 66990\tsteps/sec: 1.37365\tloss: 0.09995\tlr:[4.510037e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:41,940 [    hooks.py:  207]:\tstep: 67000\tsteps/sec: 1.25888\tloss: 0.37441\tlr:[4.5032475e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:41,941 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:41,941 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:41,942 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:23:41,942 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:41,942 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c721a58>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:23:41,942 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83affcf8>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:31:37,467 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,468 [  trainer.py:   58]:\t{'acc': 0.7839357429718875, 'loss': 0.642334353704101}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,468 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,469 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:31:37,469 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:31:37,469 [  trainer.py:   70]:\tacc\t0.7839357429718875\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:31:37,469 [  trainer.py:   70]:\tloss\t0.642334353704101\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:31:37,469 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,469 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7839357429718875, 'loss': 0.642334353704101}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,469 [ exporter.py:   64]:\t[Best Exporter]: skip step 67000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,469 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7839357429718875, 'loss': 0.642334353704101}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,469 [ exporter.py:  104]:\t[Best Exporter]: skip step 67000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:37,470 [monitored_executor.py:  122]:\tsaving step 67000 to ./output/model_67000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:40,446 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_64000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:48,649 [    hooks.py:  207]:\tstep: 67010\tsteps/sec: 0.02054\tloss: 0.20102\tlr:[4.496456e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:31:57,597 [    hooks.py:  207]:\tstep: 67020\tsteps/sec: 1.17042\tloss: 0.47047\tlr:[4.489667e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:04,277 [    hooks.py:  207]:\tstep: 67030\tsteps/sec: 1.38166\tloss: 0.26785\tlr:[4.482875e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:11,011 [    hooks.py:  207]:\tstep: 67040\tsteps/sec: 1.48446\tloss: 0.04874\tlr:[4.476083e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:21,878 [    hooks.py:  207]:\tstep: 67050\tsteps/sec: 0.93436\tloss: 0.53907\tlr:[4.469294e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:30,049 [    hooks.py:  207]:\tstep: 67060\tsteps/sec: 1.19282\tloss: 0.55581\tlr:[4.4625017e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:38,660 [    hooks.py:  207]:\tstep: 67070\tsteps/sec: 1.17981\tloss: 0.35613\tlr:[4.4557128e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:47,472 [    hooks.py:  207]:\tstep: 67080\tsteps/sec: 1.15302\tloss: 0.11802\tlr:[4.44892e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:32:57,228 [    hooks.py:  207]:\tstep: 67090\tsteps/sec: 1.06202\tloss: 0.27558\tlr:[4.442132e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:33:05,784 [    hooks.py:  207]:\tstep: 67100\tsteps/sec: 1.09396\tloss: 0.38032\tlr:[4.43534e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:33:12,946 [    hooks.py:  207]:\tstep: 67110\tsteps/sec: 1.43585\tloss: 0.19507\tlr:[4.4285507e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:33:23,873 [    hooks.py:  207]:\tstep: 67120\tsteps/sec: 0.88491\tloss: 0.49103\tlr:[4.4217586e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:33:41,591 [    hooks.py:  207]:\tstep: 67140\tsteps/sec: 1.14197\tloss: 0.38852\tlr:[4.4081776e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:33:56,977 [    hooks.py:  207]:\tstep: 67160\tsteps/sec: 1.23712\tloss: 0.63629\tlr:[4.3945965e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:05,308 [    hooks.py:  207]:\tstep: 67170\tsteps/sec: 1.13786\tloss: 0.40670\tlr:[4.387808e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:12,148 [    hooks.py:  207]:\tstep: 67180\tsteps/sec: 1.49787\tloss: 0.40175\tlr:[4.381016e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:23,187 [    hooks.py:  207]:\tstep: 67190\tsteps/sec: 0.91051\tloss: 0.58633\tlr:[4.3742243e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:29,707 [    hooks.py:  207]:\tstep: 67200\tsteps/sec: 1.40627\tloss: 0.20037\tlr:[4.367435e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:38,992 [    hooks.py:  207]:\tstep: 67210\tsteps/sec: 1.06916\tloss: 0.22431\tlr:[4.360643e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:48,729 [    hooks.py:  207]:\tstep: 67220\tsteps/sec: 1.07930\tloss: 0.31340\tlr:[4.353854e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:34:58,394 [    hooks.py:  207]:\tstep: 67230\tsteps/sec: 1.05748\tloss: 0.46000\tlr:[4.347062e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:35:06,312 [    hooks.py:  207]:\tstep: 67240\tsteps/sec: 1.21770\tloss: 0.67812\tlr:[4.3402733e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:35:14,228 [    hooks.py:  207]:\tstep: 67250\tsteps/sec: 1.26673\tloss: 0.32459\tlr:[4.3334812e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:35:21,580 [    hooks.py:  207]:\tstep: 67260\tsteps/sec: 1.32099\tloss: 0.17937\tlr:[4.3266923e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:35:30,160 [    hooks.py:  207]:\tstep: 67270\tsteps/sec: 1.19880\tloss: 0.25982\tlr:[4.3199e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:35:45,235 [    hooks.py:  207]:\tstep: 67290\tsteps/sec: 1.21477\tloss: 0.66913\tlr:[4.3063196e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:35:53,481 [    hooks.py:  207]:\tstep: 67300\tsteps/sec: 1.23701\tloss: 0.02987\tlr:[4.2995307e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:36:00,786 [    hooks.py:  207]:\tstep: 67310\tsteps/sec: 1.34032\tloss: 0.30004\tlr:[4.292738e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:36:09,818 [    hooks.py:  207]:\tstep: 67320\tsteps/sec: 1.09459\tloss: 0.68057\tlr:[4.285949e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 17:36:17,706 [    hooks.py:  207]:\tstep: 67330\tsteps/sec: 1.28257\tloss: 0.31510\tlr:[4.2791576e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:44:17,188 [    hooks.py:  207]:\tstep: 67910\tsteps/sec: 0.95011\tloss: 0.34580\tlr:[3.885305e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:44:27,410 [    hooks.py:  207]:\tstep: 67920\tsteps/sec: 1.01995\tloss: 0.20574\tlr:[3.8785165e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:44:34,843 [    hooks.py:  207]:\tstep: 67930\tsteps/sec: 1.25796\tloss: 0.47502\tlr:[3.871725e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:44:42,846 [    hooks.py:  207]:\tstep: 67940\tsteps/sec: 1.28399\tloss: 0.14894\tlr:[3.864932e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:44:51,631 [    hooks.py:  207]:\tstep: 67950\tsteps/sec: 1.12132\tloss: 0.07260\tlr:[3.8581434e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:01,371 [    hooks.py:  207]:\tstep: 67960\tsteps/sec: 1.02496\tloss: 0.26957\tlr:[3.8513513e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:11,864 [    hooks.py:  207]:\tstep: 67970\tsteps/sec: 0.98898\tloss: 0.29598\tlr:[3.8445623e-06]\u001b[0m\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 17:45:18,887 [    hooks.py:  207]:\tstep: 67980\tsteps/sec: 1.32611\tloss: 0.12101\tlr:[3.8377702e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:28,354 [    hooks.py:  207]:\tstep: 67990\tsteps/sec: 1.11869\tloss: 0.92341\tlr:[3.8309818e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:37,174 [    hooks.py:  207]:\tstep: 68000\tsteps/sec: 1.13625\tloss: 0.42549\tlr:[3.8241897e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:37,174 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:37,175 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:37,175 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:45:37,175 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:37,175 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c713e48>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:45:37,175 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf838dce48>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:53:28,741 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,742 [  trainer.py:   58]:\t{'acc': 0.7919678714859437, 'loss': 0.6658163778483868}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,742 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,743 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:53:28,743 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:53:28,743 [  trainer.py:   70]:\tacc\t0.7919678714859437\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:53:28,744 [  trainer.py:   70]:\tloss\t0.6658163778483868\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 17:53:28,744 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,744 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7919678714859437, 'loss': 0.6658163778483868}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,744 [ exporter.py:   64]:\t[Best Exporter]: skip step 68000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,744 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7919678714859437, 'loss': 0.6658163778483868}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,744 [ exporter.py:  104]:\t[Best Exporter]: skip step 68000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:28,745 [monitored_executor.py:  122]:\tsaving step 68000 to ./output/model_68000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:31,952 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_65000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:38,898 [    hooks.py:  207]:\tstep: 68010\tsteps/sec: 0.02076\tloss: 0.22388\tlr:[3.8174007e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:45,468 [    hooks.py:  207]:\tstep: 68020\tsteps/sec: 1.46752\tloss: 0.41102\tlr:[3.8106082e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:53:54,170 [    hooks.py:  207]:\tstep: 68030\tsteps/sec: 1.18060\tloss: 0.22383\tlr:[3.8038193e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:55:14,732 [    hooks.py:  207]:\tstep: 68120\tsteps/sec: 1.07969\tloss: 0.47746\tlr:[3.7427037e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:55:31,302 [    hooks.py:  207]:\tstep: 68140\tsteps/sec: 1.16009\tloss: 0.66783\tlr:[3.7291231e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:56:49,594 [    hooks.py:  207]:\tstep: 68230\tsteps/sec: 1.13257\tloss: 0.25226\tlr:[3.6680071e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:58:33,335 [    hooks.py:  207]:\tstep: 68350\tsteps/sec: 1.19434\tloss: 0.31788\tlr:[3.5865216e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:58:43,175 [    hooks.py:  207]:\tstep: 68360\tsteps/sec: 1.01924\tloss: 0.20704\tlr:[3.5797298e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:59:14,131 [    hooks.py:  207]:\tstep: 68400\tsteps/sec: 1.23373\tloss: 0.20282\tlr:[3.552568e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 17:59:21,374 [    hooks.py:  207]:\tstep: 68410\tsteps/sec: 1.34077\tloss: 0.42538\tlr:[3.5457763e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 17:59:40,682 [    hooks.py:  207]:\tstep: 68430\tsteps/sec: 1.04260\tloss: 0.33695\tlr:[3.532195e-06]\u001b[0m\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 17:59:49,541 [    hooks.py:  207]:\tstep: 68440\tsteps/sec: 1.11969\tloss: 0.50851\tlr:[3.5254063e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:02:23,699 [    hooks.py:  207]:\tstep: 68620\tsteps/sec: 1.18176\tloss: 0.12302\tlr:[3.4031755e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:02:31,681 [    hooks.py:  207]:\tstep: 68630\tsteps/sec: 1.24358\tloss: 0.14491\tlr:[3.396386e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:03:47,338 [    hooks.py:  207]:\tstep: 68720\tsteps/sec: 1.47160\tloss: 0.07425\tlr:[3.33527e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:03:56,840 [    hooks.py:  207]:\tstep: 68730\tsteps/sec: 1.10452\tloss: 0.13525\tlr:[3.3284787e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:03,648 [    hooks.py:  207]:\tstep: 68740\tsteps/sec: 1.38789\tloss: 0.40366\tlr:[3.32169e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:12,451 [    hooks.py:  207]:\tstep: 68750\tsteps/sec: 1.14877\tloss: 0.29086\tlr:[3.3148976e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:19,659 [    hooks.py:  207]:\tstep: 68760\tsteps/sec: 1.35565\tloss: 0.64472\tlr:[3.3081092e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:26,415 [    hooks.py:  207]:\tstep: 68770\tsteps/sec: 1.48753\tloss: 0.11580\tlr:[3.3013168e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:34,961 [    hooks.py:  207]:\tstep: 68780\tsteps/sec: 1.15897\tloss: 0.41789\tlr:[3.2945275e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:41,946 [    hooks.py:  207]:\tstep: 68790\tsteps/sec: 1.45343\tloss: 0.66152\tlr:[3.2877358e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:04:51,209 [    hooks.py:  207]:\tstep: 68800\tsteps/sec: 1.06740\tloss: 0.23750\tlr:[3.2809464e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:01,631 [    hooks.py:  207]:\tstep: 68810\tsteps/sec: 0.97052\tloss: 0.25218\tlr:[3.274155e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:08,459 [    hooks.py:  207]:\tstep: 68820\tsteps/sec: 1.40982\tloss: 0.23661\tlr:[3.2673627e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:17,569 [    hooks.py:  207]:\tstep: 68830\tsteps/sec: 1.12848\tloss: 0.28949\tlr:[3.2605744e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:26,726 [    hooks.py:  207]:\tstep: 68840\tsteps/sec: 1.04187\tloss: 0.23827\tlr:[3.2537826e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:35,098 [    hooks.py:  207]:\tstep: 68850\tsteps/sec: 1.23673\tloss: 0.03634\tlr:[3.2469932e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:43,542 [    hooks.py:  207]:\tstep: 68860\tsteps/sec: 1.22311\tloss: 0.20863\tlr:[3.240201e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:05:50,540 [    hooks.py:  207]:\tstep: 68870\tsteps/sec: 1.38551\tloss: 0.11737\tlr:[3.233412e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:01,217 [    hooks.py:  207]:\tstep: 68880\tsteps/sec: 0.94155\tloss: 0.47562\tlr:[3.2266203e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:09,293 [    hooks.py:  207]:\tstep: 68890\tsteps/sec: 1.25293\tloss: 0.28008\tlr:[3.2198313e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:17,767 [    hooks.py:  207]:\tstep: 68900\tsteps/sec: 1.19226\tloss: 0.64501\tlr:[3.2130397e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:27,056 [    hooks.py:  207]:\tstep: 68910\tsteps/sec: 1.05145\tloss: 0.26610\tlr:[3.2062503e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:34,248 [    hooks.py:  207]:\tstep: 68920\tsteps/sec: 1.42496\tloss: 0.36381\tlr:[3.1994584e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:44,020 [    hooks.py:  207]:\tstep: 68930\tsteps/sec: 1.02672\tloss: 0.61144\tlr:[3.192669e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:06:51,029 [    hooks.py:  207]:\tstep: 68940\tsteps/sec: 1.40407\tloss: 0.39315\tlr:[3.1858774e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:00,202 [    hooks.py:  207]:\tstep: 68950\tsteps/sec: 1.07842\tloss: 0.39995\tlr:[3.1790883e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:08,517 [    hooks.py:  207]:\tstep: 68960\tsteps/sec: 1.23117\tloss: 0.73210\tlr:[3.1722966e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:18,042 [    hooks.py:  207]:\tstep: 68970\tsteps/sec: 1.04971\tloss: 0.22812\tlr:[3.1655047e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:25,040 [    hooks.py:  207]:\tstep: 68980\tsteps/sec: 1.38783\tloss: 0.34259\tlr:[3.1587156e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:33,601 [    hooks.py:  207]:\tstep: 68990\tsteps/sec: 1.20523\tloss: 0.52481\tlr:[3.1519237e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:41,110 [    hooks.py:  207]:\tstep: 69000\tsteps/sec: 1.31487\tloss: 0.41374\tlr:[3.1451348e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:41,114 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:41,115 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:41,115 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:07:41,115 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:41,115 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c8d77b8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:07:41,115 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf83fe9d68>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:15:32,570 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,571 [  trainer.py:   58]:\t{'acc': 0.7891566265060241, 'loss': 0.666722267651214}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,572 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,572 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:15:32,573 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:15:32,573 [  trainer.py:   70]:\tacc\t0.7891566265060241\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:15:32,573 [  trainer.py:   70]:\tloss\t0.666722267651214\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:15:32,573 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,573 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7891566265060241, 'loss': 0.666722267651214}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,573 [ exporter.py:   64]:\t[Best Exporter]: skip step 69000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,573 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7891566265060241, 'loss': 0.666722267651214}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,574 [ exporter.py:  104]:\t[Best Exporter]: skip step 69000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:32,574 [monitored_executor.py:  122]:\tsaving step 69000 to ./output/model_69000\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 18:15:35,813 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_66000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:43,928 [    hooks.py:  207]:\tstep: 69010\tsteps/sec: 0.02072\tloss: 0.43396\tlr:[3.1383424e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:15:53,464 [    hooks.py:  207]:\tstep: 69020\tsteps/sec: 1.04594\tloss: 0.26155\tlr:[3.1315535e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:01,890 [    hooks.py:  207]:\tstep: 69030\tsteps/sec: 1.16934\tloss: 0.20066\tlr:[3.1247623e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:08,987 [    hooks.py:  207]:\tstep: 69040\tsteps/sec: 1.40887\tloss: 0.37093\tlr:[3.1179727e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:19,657 [    hooks.py:  207]:\tstep: 69050\tsteps/sec: 0.92859\tloss: 0.50699\tlr:[3.1111806e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:26,934 [    hooks.py:  207]:\tstep: 69060\tsteps/sec: 1.37248\tloss: 0.05908\tlr:[3.104392e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:35,069 [    hooks.py:  207]:\tstep: 69070\tsteps/sec: 1.17380\tloss: 0.36816\tlr:[3.0975996e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:44,725 [    hooks.py:  207]:\tstep: 69080\tsteps/sec: 1.08547\tloss: 0.27419\tlr:[3.090811e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:16:53,208 [    hooks.py:  207]:\tstep: 69090\tsteps/sec: 1.15995\tloss: 0.16516\tlr:[3.084019e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:17:03,484 [    hooks.py:  207]:\tstep: 69100\tsteps/sec: 1.00612\tloss: 0.49615\tlr:[3.0772308e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:17:11,238 [    hooks.py:  207]:\tstep: 69110\tsteps/sec: 1.26166\tloss: 0.44410\tlr:[3.0704377e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:17:18,617 [    hooks.py:  207]:\tstep: 69120\tsteps/sec: 1.37377\tloss: 0.43954\tlr:[3.063646e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:17:27,200 [    hooks.py:  207]:\tstep: 69130\tsteps/sec: 1.13360\tloss: 0.31716\tlr:[3.0568572e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:17:50,555 [    hooks.py:  207]:\tstep: 69160\tsteps/sec: 1.33006\tloss: 0.37732\tlr:[3.0364838e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:17:59,302 [    hooks.py:  207]:\tstep: 69170\tsteps/sec: 1.18563\tloss: 0.29230\tlr:[3.029695e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:18:07,408 [    hooks.py:  207]:\tstep: 69180\tsteps/sec: 1.21148\tloss: 0.13154\tlr:[3.0229035e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:18:15,970 [    hooks.py:  207]:\tstep: 69190\tsteps/sec: 1.16085\tloss: 0.39136\tlr:[3.016115e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:18:23,890 [    hooks.py:  207]:\tstep: 69200\tsteps/sec: 1.27377\tloss: 0.74366\tlr:[3.0093229e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:18:32,787 [    hooks.py:  207]:\tstep: 69210\tsteps/sec: 1.13968\tloss: 0.60270\tlr:[3.0025333e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:18:40,374 [    hooks.py:  207]:\tstep: 69220\tsteps/sec: 1.30499\tloss: 0.35871\tlr:[2.995742e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:19:15,176 [    hooks.py:  207]:\tstep: 69260\tsteps/sec: 1.15199\tloss: 0.44655\tlr:[2.9685796e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:19:23,083 [    hooks.py:  207]:\tstep: 69270\tsteps/sec: 1.30355\tloss: 0.74970\tlr:[2.9617877e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:19:30,470 [    hooks.py:  207]:\tstep: 69280\tsteps/sec: 1.26143\tloss: 0.13764\tlr:[2.954999e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:19:38,901 [    hooks.py:  207]:\tstep: 69290\tsteps/sec: 1.26511\tloss: 0.07328\tlr:[2.948207e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:19:48,634 [    hooks.py:  207]:\tstep: 69300\tsteps/sec: 1.02815\tloss: 0.36015\tlr:[2.9414182e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:19:56,613 [    hooks.py:  207]:\tstep: 69310\tsteps/sec: 1.24777\tloss: 0.53475\tlr:[2.9346265e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:20:05,678 [    hooks.py:  207]:\tstep: 69320\tsteps/sec: 1.04784\tloss: 0.11402\tlr:[2.927837e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:20:15,947 [    hooks.py:  207]:\tstep: 69330\tsteps/sec: 1.00787\tloss: 0.47586\tlr:[2.9210448e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:20:25,679 [    hooks.py:  207]:\tstep: 69340\tsteps/sec: 1.02400\tloss: 0.22228\tlr:[2.9142557e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:20:33,241 [    hooks.py:  207]:\tstep: 69350\tsteps/sec: 1.30227\tloss: 0.40650\tlr:[2.9074645e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:20:44,157 [    hooks.py:  207]:\tstep: 69360\tsteps/sec: 0.93978\tloss: 0.21835\tlr:[2.9006753e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:20:52,997 [    hooks.py:  207]:\tstep: 69370\tsteps/sec: 1.12800\tloss: 0.37392\tlr:[2.893883e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:01,529 [    hooks.py:  207]:\tstep: 69380\tsteps/sec: 1.19010\tloss: 0.15964\tlr:[2.8870943e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:09,572 [    hooks.py:  207]:\tstep: 69390\tsteps/sec: 1.16195\tloss: 0.51634\tlr:[2.8803026e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:18,863 [    hooks.py:  207]:\tstep: 69400\tsteps/sec: 1.09371\tloss: 0.54927\tlr:[2.8735103e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:26,550 [    hooks.py:  207]:\tstep: 69410\tsteps/sec: 1.33657\tloss: 0.25355\tlr:[2.8667212e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:33,413 [    hooks.py:  207]:\tstep: 69420\tsteps/sec: 1.48214\tloss: 0.23778\tlr:[2.85993e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:41,226 [    hooks.py:  207]:\tstep: 69430\tsteps/sec: 1.27903\tloss: 0.34748\tlr:[2.8531408e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:49,781 [    hooks.py:  207]:\tstep: 69440\tsteps/sec: 1.15699\tloss: 0.46220\tlr:[2.8463485e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:21:59,406 [    hooks.py:  207]:\tstep: 69450\tsteps/sec: 1.04849\tloss: 0.37812\tlr:[2.8395596e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:22:10,534 [    hooks.py:  207]:\tstep: 69460\tsteps/sec: 0.88526\tloss: 0.15827\tlr:[2.8327681e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:22:18,719 [    hooks.py:  207]:\tstep: 69470\tsteps/sec: 1.25780\tloss: 0.56966\tlr:[2.825979e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:22:28,191 [    hooks.py:  207]:\tstep: 69480\tsteps/sec: 1.05023\tloss: 0.13816\tlr:[2.8191864e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:22:35,626 [    hooks.py:  207]:\tstep: 69490\tsteps/sec: 1.25669\tloss: 0.22111\tlr:[2.8123982e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:22:46,029 [    hooks.py:  207]:\tstep: 69500\tsteps/sec: 0.99435\tloss: 0.31143\tlr:[2.8056056e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:22:56,808 [    hooks.py:  207]:\tstep: 69510\tsteps/sec: 0.96789\tloss: 0.32457\tlr:[2.798817e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:23:05,589 [    hooks.py:  207]:\tstep: 69520\tsteps/sec: 1.08552\tloss: 0.58860\tlr:[2.7920248e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:23:12,227 [    hooks.py:  207]:\tstep: 69530\tsteps/sec: 1.51075\tloss: 0.49897\tlr:[2.7852357e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:23:20,789 [    hooks.py:  207]:\tstep: 69540\tsteps/sec: 1.14980\tloss: 0.45163\tlr:[2.7784438e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:23:57,612 [    hooks.py:  207]:\tstep: 69590\tsteps/sec: 1.30060\tloss: 0.12532\tlr:[2.7444903e-06]\u001b[0m\n",
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     ]
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 18:24:46,313 [    hooks.py:  207]:\tstep: 69650\tsteps/sec: 1.60173\tloss: 0.24585\tlr:[2.7037474e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:27:27,902 [    hooks.py:  207]:\tstep: 69830\tsteps/sec: 1.44204\tloss: 0.13331\tlr:[2.581519e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:27:37,999 [    hooks.py:  207]:\tstep: 69840\tsteps/sec: 1.02721\tloss: 0.38707\tlr:[2.574727e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:27:45,908 [    hooks.py:  207]:\tstep: 69850\tsteps/sec: 1.18599\tloss: 0.18335\tlr:[2.5679349e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:27:53,879 [    hooks.py:  207]:\tstep: 69860\tsteps/sec: 1.34775\tloss: 0.36082\tlr:[2.5611462e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:03,620 [    hooks.py:  207]:\tstep: 69870\tsteps/sec: 1.02412\tloss: 0.45223\tlr:[2.5543543e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:12,571 [    hooks.py:  207]:\tstep: 69880\tsteps/sec: 1.09972\tloss: 0.46439\tlr:[2.5475654e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:19,583 [    hooks.py:  207]:\tstep: 69890\tsteps/sec: 1.46306\tloss: 0.28913\tlr:[2.5407737e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:26,600 [    hooks.py:  207]:\tstep: 69900\tsteps/sec: 1.38383\tloss: 1.08019\tlr:[2.5339846e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:33,390 [    hooks.py:  207]:\tstep: 69910\tsteps/sec: 1.50957\tloss: 0.21875\tlr:[2.5271922e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:41,664 [    hooks.py:  207]:\tstep: 69920\tsteps/sec: 1.20884\tloss: 0.09489\tlr:[2.5204038e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:49,173 [    hooks.py:  207]:\tstep: 69930\tsteps/sec: 1.33417\tloss: 0.37709\tlr:[2.5136112e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:28:56,331 [    hooks.py:  207]:\tstep: 69940\tsteps/sec: 1.45238\tloss: 0.29592\tlr:[2.5068227e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:04,999 [    hooks.py:  207]:\tstep: 69950\tsteps/sec: 1.09538\tloss: 0.41287\tlr:[2.5000306e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:12,884 [    hooks.py:  207]:\tstep: 69960\tsteps/sec: 1.28754\tloss: 0.39735\tlr:[2.4932417e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:20,176 [    hooks.py:  207]:\tstep: 69970\tsteps/sec: 1.35041\tloss: 0.47305\tlr:[2.48645e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:28,902 [    hooks.py:  207]:\tstep: 69980\tsteps/sec: 1.12778\tloss: 0.54124\tlr:[2.4796605e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:40,561 [    hooks.py:  207]:\tstep: 69990\tsteps/sec: 0.87641\tloss: 0.68620\tlr:[2.4728688e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:47,016 [    hooks.py:  207]:\tstep: 70000\tsteps/sec: 1.45823\tloss: 0.72198\tlr:[2.4660774e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:47,017 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:47,017 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:47,017 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:29:47,017 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:47,017 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf4c6dc9b0>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:29:47,017 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c6dca20>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:37:38,487 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,488 [  trainer.py:   58]:\t{'acc': 0.7755020080321285, 'loss': 0.6884883861415662}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,488 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,489 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:37:38,489 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:37:38,489 [  trainer.py:   70]:\tacc\t0.7755020080321285\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:37:38,489 [  trainer.py:   70]:\tloss\t0.6884883861415662\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:37:38,490 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,490 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7755020080321285, 'loss': 0.6884883861415662}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,490 [ exporter.py:   64]:\t[Best Exporter]: skip step 70000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,490 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7755020080321285, 'loss': 0.6884883861415662}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,490 [ exporter.py:  104]:\t[Best Exporter]: skip step 70000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:38,491 [monitored_executor.py:  122]:\tsaving step 70000 to ./output/model_70000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:41,705 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_67000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:51,006 [    hooks.py:  207]:\tstep: 70010\tsteps/sec: 0.02067\tloss: 0.33961\tlr:[2.459288e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:37:58,463 [    hooks.py:  207]:\tstep: 70020\tsteps/sec: 1.38808\tloss: 0.13523\tlr:[2.4524963e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:07,639 [    hooks.py:  207]:\tstep: 70030\tsteps/sec: 1.06598\tloss: 0.48423\tlr:[2.4457072e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:14,603 [    hooks.py:  207]:\tstep: 70040\tsteps/sec: 1.38892\tloss: 0.19816\tlr:[2.4389153e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:23,541 [    hooks.py:  207]:\tstep: 70050\tsteps/sec: 1.16924\tloss: 0.33358\tlr:[2.4321262e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:30,509 [    hooks.py:  207]:\tstep: 70060\tsteps/sec: 1.41943\tloss: 0.94050\tlr:[2.425334e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:38,426 [    hooks.py:  207]:\tstep: 70070\tsteps/sec: 1.22340\tloss: 0.04030\tlr:[2.418545e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:46,169 [    hooks.py:  207]:\tstep: 70080\tsteps/sec: 1.30827\tloss: 0.19291\tlr:[2.4117537e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:38:54,321 [    hooks.py:  207]:\tstep: 70090\tsteps/sec: 1.27970\tloss: 0.67914\tlr:[2.4049646e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:39:00,996 [    hooks.py:  207]:\tstep: 70100\tsteps/sec: 1.44982\tloss: 0.16179\tlr:[2.3981722e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 18:39:08,820 [    hooks.py:  207]:\tstep: 70110\tsteps/sec: 1.32007\tloss: 0.48423\tlr:[2.3913833e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:45:01,097 [    hooks.py:  207]:\tstep: 70530\tsteps/sec: 1.01645\tloss: 0.30488\tlr:[2.106178e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:45:10,436 [    hooks.py:  207]:\tstep: 70540\tsteps/sec: 1.07807\tloss: 0.17386\tlr:[2.0993893e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:45:43,538 [    hooks.py:  207]:\tstep: 70580\tsteps/sec: 1.02061\tloss: 0.31967\tlr:[2.0722246e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:45:53,334 [    hooks.py:  207]:\tstep: 70590\tsteps/sec: 1.02562\tloss: 0.76709\tlr:[2.0654354e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:46:01,873 [    hooks.py:  207]:\tstep: 70600\tsteps/sec: 1.15228\tloss: 0.30121\tlr:[2.0586438e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:46:32,993 [    hooks.py:  207]:\tstep: 70640\tsteps/sec: 1.19584\tloss: 0.44732\tlr:[2.0314812e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:46:40,202 [    hooks.py:  207]:\tstep: 70650\tsteps/sec: 1.43605\tloss: 0.21432\tlr:[2.0246923e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:46:49,947 [    hooks.py:  207]:\tstep: 70660\tsteps/sec: 1.01010\tloss: 0.20403\tlr:[2.0179007e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:46:59,542 [    hooks.py:  207]:\tstep: 70670\tsteps/sec: 1.00510\tloss: 0.29915\tlr:[2.0111117e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:47:09,470 [    hooks.py:  207]:\tstep: 70680\tsteps/sec: 1.04508\tloss: 0.35344\tlr:[2.0043199e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:47:18,697 [    hooks.py:  207]:\tstep: 70690\tsteps/sec: 1.07835\tloss: 0.42058\tlr:[1.9975305e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:47:27,805 [    hooks.py:  207]:\tstep: 70700\tsteps/sec: 1.08594\tloss: 0.69764\tlr:[1.9907386e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:47:35,524 [    hooks.py:  207]:\tstep: 70710\tsteps/sec: 1.30429\tloss: 0.17868\tlr:[1.9839501e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:47:41,990 [    hooks.py:  207]:\tstep: 70720\tsteps/sec: 1.45766\tloss: 0.57427\tlr:[1.9771578e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:47:51,042 [    hooks.py:  207]:\tstep: 70730\tsteps/sec: 1.10908\tloss: 0.13747\tlr:[1.970366e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:48:00,536 [    hooks.py:  207]:\tstep: 70740\tsteps/sec: 1.07798\tloss: 0.19603\tlr:[1.9635768e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:48:09,754 [    hooks.py:  207]:\tstep: 70750\tsteps/sec: 1.11062\tloss: 0.28520\tlr:[1.9567851e-06]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 18:48:19,602 [    hooks.py:  207]:\tstep: 70760\tsteps/sec: 1.02028\tloss: 0.19459\tlr:[1.9499957e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:48:26,576 [    hooks.py:  207]:\tstep: 70770\tsteps/sec: 1.34450\tloss: 0.09340\tlr:[1.943204e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:48:35,034 [    hooks.py:  207]:\tstep: 70780\tsteps/sec: 1.24020\tloss: 0.22852\tlr:[1.9364152e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:48:42,013 [    hooks.py:  207]:\tstep: 70790\tsteps/sec: 1.34408\tloss: 0.42199\tlr:[1.929623e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 18:48:59,617 [    hooks.py:  207]:\tstep: 70810\tsteps/sec: 1.25368\tloss: 0.43412\tlr:[1.9160423e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:49:09,510 [    hooks.py:  207]:\tstep: 70820\tsteps/sec: 1.05437\tloss: 0.50612\tlr:[1.909253e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:49:19,228 [    hooks.py:  207]:\tstep: 70830\tsteps/sec: 1.03807\tloss: 0.11558\tlr:[1.9024612e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:49:29,078 [    hooks.py:  207]:\tstep: 70840\tsteps/sec: 1.01656\tloss: 0.36728\tlr:[1.8956722e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:49:36,996 [    hooks.py:  207]:\tstep: 70850\tsteps/sec: 1.23511\tloss: 0.30101\tlr:[1.8888807e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:49:45,084 [    hooks.py:  207]:\tstep: 70860\tsteps/sec: 1.25538\tloss: 0.61179\tlr:[1.8820916e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:49:53,908 [    hooks.py:  207]:\tstep: 70870\tsteps/sec: 1.13891\tloss: 0.07770\tlr:[1.8752997e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:02,019 [    hooks.py:  207]:\tstep: 70880\tsteps/sec: 1.20198\tloss: 0.43557\tlr:[1.8685076e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:10,307 [    hooks.py:  207]:\tstep: 70890\tsteps/sec: 1.20422\tloss: 0.57134\tlr:[1.8617186e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:19,608 [    hooks.py:  207]:\tstep: 70900\tsteps/sec: 1.09683\tloss: 0.63238\tlr:[1.8549268e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:28,310 [    hooks.py:  207]:\tstep: 70910\tsteps/sec: 1.10021\tloss: 0.28047\tlr:[1.8481377e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:36,242 [    hooks.py:  207]:\tstep: 70920\tsteps/sec: 1.27085\tloss: 0.80424\tlr:[1.8413454e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:43,433 [    hooks.py:  207]:\tstep: 70930\tsteps/sec: 1.44787\tloss: 0.49874\tlr:[1.8345568e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:50,484 [    hooks.py:  207]:\tstep: 70940\tsteps/sec: 1.39566\tloss: 0.14481\tlr:[1.8277649e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:50:57,439 [    hooks.py:  207]:\tstep: 70950\tsteps/sec: 1.47541\tloss: 0.17724\tlr:[1.8209759e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:05,502 [    hooks.py:  207]:\tstep: 70960\tsteps/sec: 1.20822\tloss: 0.30071\tlr:[1.814184e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:13,413 [    hooks.py:  207]:\tstep: 70970\tsteps/sec: 1.28272\tloss: 0.26815\tlr:[1.8073952e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:20,278 [    hooks.py:  207]:\tstep: 70980\tsteps/sec: 1.45037\tloss: 0.28918\tlr:[1.8006032e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:29,193 [    hooks.py:  207]:\tstep: 70990\tsteps/sec: 1.09268\tloss: 0.48885\tlr:[1.7938137e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:37,491 [    hooks.py:  207]:\tstep: 71000\tsteps/sec: 1.17253\tloss: 0.37832\tlr:[1.7870219e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:37,492 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:37,492 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:37,492 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:51:37,492 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:37,492 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83904d30>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:51:37,492 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf838f5f60>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:59:30,365 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,366 [  trainer.py:   58]:\t{'acc': 0.7763052208835342, 'loss': 0.6724040948618681}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,366 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,366 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:59:30,367 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:59:30,367 [  trainer.py:   70]:\tacc\t0.7763052208835342\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:59:30,367 [  trainer.py:   70]:\tloss\t0.6724040948618681\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 18:59:30,367 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,367 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7763052208835342, 'loss': 0.6724040948618681}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,367 [ exporter.py:   64]:\t[Best Exporter]: skip step 71000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,367 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7763052208835342, 'loss': 0.6724040948618681}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,367 [ exporter.py:  104]:\t[Best Exporter]: skip step 71000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:30,368 [monitored_executor.py:  122]:\tsaving step 71000 to ./output/model_71000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:33,543 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_68000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:45,521 [    hooks.py:  207]:\tstep: 71010\tsteps/sec: 0.02051\tloss: 0.46104\tlr:[1.7802331e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 18:59:54,221 [    hooks.py:  207]:\tstep: 71020\tsteps/sec: 1.16379\tloss: 0.64305\tlr:[1.7734411e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:00:02,091 [    hooks.py:  207]:\tstep: 71030\tsteps/sec: 1.20847\tloss: 0.26862\tlr:[1.7666489e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:00:14,034 [    hooks.py:  207]:\tstep: 71040\tsteps/sec: 0.86632\tloss: 0.41078\tlr:[1.7598601e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:00:22,970 [    hooks.py:  207]:\tstep: 71050\tsteps/sec: 1.09433\tloss: 0.33438\tlr:[1.7530683e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:00:33,995 [    hooks.py:  207]:\tstep: 71060\tsteps/sec: 0.89612\tloss: 0.19697\tlr:[1.7462789e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:00:43,595 [    hooks.py:  207]:\tstep: 71070\tsteps/sec: 1.07992\tloss: 0.12687\tlr:[1.7394874e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:00:52,412 [    hooks.py:  207]:\tstep: 71080\tsteps/sec: 1.11782\tloss: 0.70718\tlr:[1.732698e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:01:00,846 [    hooks.py:  207]:\tstep: 71090\tsteps/sec: 1.18336\tloss: 0.34188\tlr:[1.7259061e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:01:09,778 [    hooks.py:  207]:\tstep: 71100\tsteps/sec: 1.10314\tloss: 0.11596\tlr:[1.7191174e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:01:18,724 [    hooks.py:  207]:\tstep: 71110\tsteps/sec: 1.10797\tloss: 0.15404\tlr:[1.7123257e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:01:27,937 [    hooks.py:  207]:\tstep: 71120\tsteps/sec: 1.11945\tloss: 0.31345\tlr:[1.7055364e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:01:36,351 [    hooks.py:  207]:\tstep: 71130\tsteps/sec: 1.16497\tloss: 0.43709\tlr:[1.6987448e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:01:43,642 [    hooks.py:  207]:\tstep: 71140\tsteps/sec: 1.42327\tloss: 0.22603\tlr:[1.6919558e-06]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 19:11:06,609 [    hooks.py:  207]:\tstep: 71810\tsteps/sec: 1.27803\tloss: 0.15927\tlr:[1.236987e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:11:17,397 [    hooks.py:  207]:\tstep: 71820\tsteps/sec: 0.94064\tloss: 0.25227\tlr:[1.2301953e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:11:25,727 [    hooks.py:  207]:\tstep: 71830\tsteps/sec: 1.19572\tloss: 0.18691\tlr:[1.2234062e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:11:35,340 [    hooks.py:  207]:\tstep: 71840\tsteps/sec: 1.05923\tloss: 0.49882\tlr:[1.2166146e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:11:42,706 [    hooks.py:  207]:\tstep: 71850\tsteps/sec: 1.25807\tloss: 0.07363\tlr:[1.2098254e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:11:51,239 [    hooks.py:  207]:\tstep: 71860\tsteps/sec: 1.17599\tloss: 0.51325\tlr:[1.2030335e-06]\u001b[0m\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 19:12:00,760 [    hooks.py:  207]:\tstep: 71870\tsteps/sec: 1.09053\tloss: 0.40092\tlr:[1.1962443e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:12:09,116 [    hooks.py:  207]:\tstep: 71880\tsteps/sec: 1.21829\tloss: 0.23057\tlr:[1.1894525e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:12:17,831 [    hooks.py:  207]:\tstep: 71890\tsteps/sec: 1.12545\tloss: 0.37460\tlr:[1.1826635e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:12:28,069 [    hooks.py:  207]:\tstep: 71900\tsteps/sec: 0.97774\tloss: 0.03305\tlr:[1.1758718e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:12:37,589 [    hooks.py:  207]:\tstep: 71910\tsteps/sec: 1.01325\tloss: 0.63095\tlr:[1.1690797e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:12:46,377 [    hooks.py:  207]:\tstep: 71920\tsteps/sec: 1.14207\tloss: 0.17375\tlr:[1.1622907e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:12:54,242 [    hooks.py:  207]:\tstep: 71930\tsteps/sec: 1.30417\tloss: 0.67174\tlr:[1.1554987e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:02,212 [    hooks.py:  207]:\tstep: 71940\tsteps/sec: 1.26538\tloss: 0.13068\tlr:[1.14871e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:10,228 [    hooks.py:  207]:\tstep: 71950\tsteps/sec: 1.27783\tloss: 0.16387\tlr:[1.1419178e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:19,280 [    hooks.py:  207]:\tstep: 71960\tsteps/sec: 1.11021\tloss: 0.46107\tlr:[1.1351289e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:26,112 [    hooks.py:  207]:\tstep: 71970\tsteps/sec: 1.41329\tloss: 0.19708\tlr:[1.1283367e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:35,000 [    hooks.py:  207]:\tstep: 71980\tsteps/sec: 1.16303\tloss: 0.23692\tlr:[1.1215479e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:42,869 [    hooks.py:  207]:\tstep: 71990\tsteps/sec: 1.24472\tloss: 0.34472\tlr:[1.114756e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:50,054 [    hooks.py:  207]:\tstep: 72000\tsteps/sec: 1.35383\tloss: 0.21579\tlr:[1.1079669e-06]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:50,055 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:50,055 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:50,055 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:13:50,055 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:50,055 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf83926cf8>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:13:50,055 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf605ee630>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:21:43,063 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,065 [  trainer.py:   58]:\t{'acc': 0.7803212851405622, 'loss': 0.6785604520581472}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,065 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,065 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:21:43,066 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:21:43,066 [  trainer.py:   70]:\tacc\t0.7803212851405622\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:21:43,066 [  trainer.py:   70]:\tloss\t0.6785604520581472\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:21:43,066 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,066 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7803212851405622, 'loss': 0.6785604520581472}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,067 [ exporter.py:   64]:\t[Best Exporter]: skip step 72000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,067 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7803212851405622, 'loss': 0.6785604520581472}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,067 [ exporter.py:  104]:\t[Best Exporter]: skip step 72000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:43,068 [monitored_executor.py:  122]:\tsaving step 72000 to ./output/model_72000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:46,268 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_69000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:21:54,260 [    hooks.py:  207]:\tstep: 72010\tsteps/sec: 0.02065\tloss: 0.39005\tlr:[1.1011751e-06]\u001b[0m\n",
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     ]
    },
    {
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     "output_type": "stream",
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      "\u001b[37m[DEBUG] 2019-09-19 19:34:57,275 [    hooks.py:  207]:\tstep: 72940\tsteps/sec: 1.14318\tloss: 0.30939\tlr:[4.696519e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:06,492 [    hooks.py:  207]:\tstep: 72950\tsteps/sec: 1.05274\tloss: 0.35347\tlr:[4.6286297e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:13,722 [    hooks.py:  207]:\tstep: 72960\tsteps/sec: 1.39087\tloss: 0.14521\tlr:[4.5607092e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:20,705 [    hooks.py:  207]:\tstep: 72970\tsteps/sec: 1.47857\tloss: 0.17789\tlr:[4.4928203e-07]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 19:35:26,828 [    hooks.py:  207]:\tstep: 72980\tsteps/sec: 1.45911\tloss: 0.25368\tlr:[4.4248998e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:36,166 [    hooks.py:  207]:\tstep: 72990\tsteps/sec: 1.14862\tloss: 0.34600\tlr:[4.3570108e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:42,584 [    hooks.py:  207]:\tstep: 73000\tsteps/sec: 1.46793\tloss: 0.41725\tlr:[4.289091e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:42,585 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:42,585 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:42,585 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:35:42,585 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:42,585 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.StopAtStepHook object at 0x7fbf60615f28>\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:35:42,585 [monitored_executor.py:  289]:\ttrain loop has hook <propeller.paddle.train.hooks.EvalHook object at 0x7fbf4c6dc978>\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:43:41,704 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,705 [  trainer.py:   58]:\t{'acc': 0.7799196787148595, 'loss': 0.6702217317831057}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,706 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,706 [  trainer.py:   65]:\twrite to tensorboard ./output/eval_history/eval\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:43:41,707 [  trainer.py:   68]:\t*** eval res:       eval ***\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:43:41,707 [  trainer.py:   70]:\tacc\t0.7799196787148595\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:43:41,707 [  trainer.py:   70]:\tloss\t0.6702217317831057\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:43:41,707 [  trainer.py:   71]:\t******************************\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,707 [ exporter.py:   50]:\tNew evaluate result: {'eval': {'acc': 0.7799196787148595, 'loss': 0.6702217317831057}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,707 [ exporter.py:   64]:\t[Best Exporter]: skip step 73000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,707 [ exporter.py:   75]:\tNew evaluate result: {'eval': {'acc': 0.7799196787148595, 'loss': 0.6702217317831057}} \n",
      "old: {'eval': {'acc': 0.793574297188755, 'loss': 0.6033463256958967}}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,707 [ exporter.py:  104]:\t[Best Exporter]: skip step 73000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:41,708 [monitored_executor.py:  122]:\tsaving step 73000 to ./output/model_73000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:45,078 [monitored_executor.py:  138]:\tNo. of ckpt exceed 3, clean up: ./output/model_70000\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:43:52,660 [    hooks.py:  207]:\tstep: 73010\tsteps/sec: 0.02041\tloss: 0.14225\tlr:[4.2212008e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:02,401 [    hooks.py:  207]:\tstep: 73020\tsteps/sec: 1.00268\tloss: 0.43323\tlr:[4.1532817e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:13,223 [    hooks.py:  207]:\tstep: 73030\tsteps/sec: 0.95071\tloss: 0.35474\tlr:[4.0853925e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:19,683 [    hooks.py:  207]:\tstep: 73040\tsteps/sec: 1.60102\tloss: 0.34364\tlr:[4.0174726e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:29,698 [    hooks.py:  207]:\tstep: 73050\tsteps/sec: 0.99715\tloss: 0.18309\tlr:[3.9495833e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:37,671 [    hooks.py:  207]:\tstep: 73060\tsteps/sec: 1.21825\tloss: 0.16727\tlr:[3.8816637e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:47,529 [    hooks.py:  207]:\tstep: 73070\tsteps/sec: 1.01774\tloss: 0.10636\tlr:[3.8137736e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:44:55,325 [    hooks.py:  207]:\tstep: 73080\tsteps/sec: 1.38707\tloss: 0.58464\tlr:[3.745855e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:45:03,021 [    hooks.py:  207]:\tstep: 73090\tsteps/sec: 1.21395\tloss: 0.19951\tlr:[3.677935e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:45:11,672 [    hooks.py:  207]:\tstep: 73100\tsteps/sec: 1.15592\tloss: 0.08290\tlr:[3.6100457e-07]\u001b[0m\n",
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      "\u001b[37m[DEBUG] 2019-09-19 19:46:07,676 [    hooks.py:  207]:\tstep: 73160\tsteps/sec: 1.03405\tloss: 0.63789\tlr:[3.202618e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:46:16,738 [    hooks.py:  207]:\tstep: 73170\tsteps/sec: 1.09463\tloss: 0.08099\tlr:[3.134698e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:46:26,254 [    hooks.py:  207]:\tstep: 73180\tsteps/sec: 1.08911\tloss: 0.34100\tlr:[3.0668082e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:46:34,082 [    hooks.py:  207]:\tstep: 73190\tsteps/sec: 1.24290\tloss: 0.29189\tlr:[2.9988885e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:46:40,826 [    hooks.py:  207]:\tstep: 73200\tsteps/sec: 1.55050\tloss: 0.53902\tlr:[2.9309993e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:46:48,962 [    hooks.py:  207]:\tstep: 73210\tsteps/sec: 1.14012\tloss: 0.76479\tlr:[2.8630794e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:46:58,679 [    hooks.py:  207]:\tstep: 73220\tsteps/sec: 1.06501\tloss: 0.47421\tlr:[2.79519e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:47:09,100 [    hooks.py:  207]:\tstep: 73230\tsteps/sec: 0.96228\tloss: 0.41339\tlr:[2.7272705e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:47:18,598 [    hooks.py:  207]:\tstep: 73240\tsteps/sec: 1.05790\tloss: 0.33196\tlr:[2.659351e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:47:27,133 [    hooks.py:  207]:\tstep: 73250\tsteps/sec: 1.16271\tloss: 0.09712\tlr:[2.5914616e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:47:34,227 [    hooks.py:  207]:\tstep: 73260\tsteps/sec: 1.41426\tloss: 0.88020\tlr:[2.5235417e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:47:42,420 [    hooks.py:  207]:\tstep: 73270\tsteps/sec: 1.17365\tloss: 0.47295\tlr:[2.4556516e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:47:51,327 [    hooks.py:  207]:\tstep: 73280\tsteps/sec: 1.18645\tloss: 0.30803\tlr:[2.3877325e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:00,810 [    hooks.py:  207]:\tstep: 73290\tsteps/sec: 1.07467\tloss: 0.14186\tlr:[2.3198427e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:09,590 [    hooks.py:  207]:\tstep: 73300\tsteps/sec: 1.11633\tloss: 0.35738\tlr:[2.2519237e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:17,756 [    hooks.py:  207]:\tstep: 73310\tsteps/sec: 1.20754\tloss: 0.64980\tlr:[2.1840339e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:25,627 [    hooks.py:  207]:\tstep: 73320\tsteps/sec: 1.29733\tloss: 0.42344\tlr:[2.1161145e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:32,359 [    hooks.py:  207]:\tstep: 73330\tsteps/sec: 1.42652\tloss: 0.46392\tlr:[2.0482246e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:40,128 [    hooks.py:  207]:\tstep: 73340\tsteps/sec: 1.35782\tloss: 0.30680\tlr:[1.9803049e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:49,262 [    hooks.py:  207]:\tstep: 73350\tsteps/sec: 1.06132\tloss: 0.43727\tlr:[1.912416e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:48:57,279 [    hooks.py:  207]:\tstep: 73360\tsteps/sec: 1.22738\tloss: 0.70546\tlr:[1.8444959e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:06,512 [    hooks.py:  207]:\tstep: 73370\tsteps/sec: 1.09439\tloss: 0.72504\tlr:[1.7766058e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:15,260 [    hooks.py:  207]:\tstep: 73380\tsteps/sec: 1.17716\tloss: 0.70920\tlr:[1.7086873e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:22,870 [    hooks.py:  207]:\tstep: 73390\tsteps/sec: 1.22109\tloss: 0.33604\tlr:[1.6407675e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:32,813 [    hooks.py:  207]:\tstep: 73400\tsteps/sec: 1.00780\tloss: 0.17966\tlr:[1.5728773e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:41,563 [    hooks.py:  207]:\tstep: 73410\tsteps/sec: 1.15686\tloss: 0.34460\tlr:[1.5049585e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:50,785 [    hooks.py:  207]:\tstep: 73420\tsteps/sec: 1.12665\tloss: 0.18208\tlr:[1.4370683e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:49:58,497 [    hooks.py:  207]:\tstep: 73430\tsteps/sec: 1.27396\tloss: 0.17798\tlr:[1.3691492e-07]\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[37m[DEBUG] 2019-09-19 19:50:06,399 [    hooks.py:  207]:\tstep: 73440\tsteps/sec: 1.20901\tloss: 0.37308\tlr:[1.3012594e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:50:15,982 [    hooks.py:  207]:\tstep: 73450\tsteps/sec: 1.10159\tloss: 0.57594\tlr:[1.2333399e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:50:24,809 [    hooks.py:  207]:\tstep: 73460\tsteps/sec: 1.12811\tloss: 0.19768\tlr:[1.1654502e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:50:32,882 [    hooks.py:  207]:\tstep: 73470\tsteps/sec: 1.17914\tloss: 0.25062\tlr:[1.0975307e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:50:41,837 [    hooks.py:  207]:\tstep: 73480\tsteps/sec: 1.10132\tloss: 0.13024\tlr:[1.0296407e-07]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:50:51,182 [    hooks.py:  207]:\tstep: 73490\tsteps/sec: 1.10918\tloss: 0.30766\tlr:[9.61721e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:00,698 [    hooks.py:  207]:\tstep: 73500\tsteps/sec: 1.07685\tloss: 0.11769\tlr:[8.938315e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:07,604 [    hooks.py:  207]:\tstep: 73510\tsteps/sec: 1.41962\tloss: 0.33494\tlr:[8.259121e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:16,239 [    hooks.py:  207]:\tstep: 73520\tsteps/sec: 1.18572\tloss: 0.23853\tlr:[7.580224e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:25,076 [    hooks.py:  207]:\tstep: 73530\tsteps/sec: 1.12349\tloss: 0.73388\tlr:[6.901027e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:35,795 [    hooks.py:  207]:\tstep: 73540\tsteps/sec: 0.94072\tloss: 0.34600\tlr:[6.2218334e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:42,926 [    hooks.py:  207]:\tstep: 73550\tsteps/sec: 1.34731\tloss: 0.72539\tlr:[5.5429343e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:49,626 [    hooks.py:  207]:\tstep: 73560\tsteps/sec: 1.53671\tloss: 0.60786\tlr:[4.863741e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:51:56,663 [    hooks.py:  207]:\tstep: 73570\tsteps/sec: 1.50594\tloss: 0.38916\tlr:[4.1848427e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:04,895 [    hooks.py:  207]:\tstep: 73580\tsteps/sec: 1.16404\tloss: 0.15805\tlr:[3.505648e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:12,927 [    hooks.py:  207]:\tstep: 73590\tsteps/sec: 1.18040\tloss: 0.60175\tlr:[2.8267507e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:23,301 [    hooks.py:  207]:\tstep: 73600\tsteps/sec: 0.99424\tloss: 0.81070\tlr:[2.1475559e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:30,420 [    hooks.py:  207]:\tstep: 73610\tsteps/sec: 1.43489\tloss: 0.23326\tlr:[1.4686584e-08]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:38,504 [    hooks.py:  207]:\tstep: 73620\tsteps/sec: 1.21536\tloss: 0.59705\tlr:[7.89464e-09]\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:45,562 [    hooks.py:  207]:\tstep: 73630\tsteps/sec: 1.44796\tloss: 0.25941\tlr:[1.1056669e-09]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 19:52:46,398 [    hooks.py:  219]:\tStopAtStepHook called stop\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:46,399 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[None, None, None, None, None]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# `train_and_eval` takes key-word args only\n",
    "# we are now ready to train\n",
    "hooks = [propeller.train.TqdmNotebookProgressBarHook(run_config.max_steps)] # to show the progress bar, you need to `pip install tqdm ipywidgets`\n",
    "propeller.train_and_eval(\n",
    "    model_class_or_model_fn=ClassificationErnieModel, #**careful**, you should pass a Class to `train_and_eval`, propeller will try to instantiate it.\n",
    "    params=config, \n",
    "    run_config=run_config, \n",
    "    train_dataset=train_ds, \n",
    "    eval_dataset=dev_ds, \n",
    "    warm_start_setting=ws, \n",
    "    exporters=[best_exporter, best_inference_exporter],\n",
    "    train_hooks=hooks,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 19:52:46,983 [feature_column.py:  266]:\treading raw files from ./xnli_data/test/part.0\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# after training you might want to check your model performance on test-set\n",
    "# let's do this via `propeller.predict`\n",
    "# keep in mind that model of best performace has been exported during thet `train_and_eval` phrase\n",
    "\n",
    "best_filename = [file for file in os.listdir(os.path.join(OUTPUT_DIR, 'best_model')) if 'model' in file][0]\n",
    "best_model_path = os.path.join(os.path.join(OUTPUT_DIR, 'best_model'), best_filename)\n",
    "true_label = [label_map[(line.strip().split(b'\\t')[-1])]for line in open('./xnli_data/test/part.0', 'rb')]\n",
    "\n",
    "def drop_label(sentence, segments, label): #we drop the label column here\n",
    "    return sentence, segments\n",
    "\n",
    "test_ds = feature_column.build_dataset('test', use_gz=False, data_dir='./xnli_data/test', shuffle=False, repeat=False) \\\n",
    "                               .map(before_pad) \\\n",
    "                               .padded_batch(BATCH, (0, 0, 0)) \\\n",
    "                               .map(after_pad) \\\n",
    "                               .map(drop_label)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 19:52:46,992 [  trainer.py:  237]:\tBuilding Predict Graph\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:46,992 [functional.py:  313]:\tTry to infer data shapes & types from generator\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:47,004 [functional.py:  326]:\tDataset `predict` has data_shapes: [(16, 82, 1), (16, 82, 1)] data_types: ['int64', 'int64']\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:47,577 [  trainer.py:  241]:\tDone\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:47,613 [  trainer.py:  247]:\tPredict with: \n",
      "> Run_config: RunConfig(model_dir='./output', run_steps=None, max_steps=73631.625, save_steps=1000, eval_steps=1000, eval_max_steps=None, skip_steps=10, log_steps=10, max_ckpt=3, shit=None)\n",
      "> Params: {'attention_probs_dropout_prob': 0.1, 'hidden_act': 'relu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'max_position_embeddings': 513, 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 18000, 'sent_type_vocab_size': None, 'use_task_id': False, 'task_id': 0, 'warmup_proportion': 0.1, 'weight_decay': 0.01, 'fp16': 0, 'learning_rate': 5e-05, 'num_label': 3, 'batch_size': 32}\n",
      "> Train_model_spec: ModelSpec(loss=None, predictions=[name: \"softmax_12.tmp_0\"\n",
      "type {\n",
      "  type: LOD_TENSOR\n",
      "  lod_tensor {\n",
      "    tensor {\n",
      "      data_type: FP32\n",
      "      dims: 16\n",
      "      dims: 3\n",
      "    }\n",
      "    lod_level: 0\n",
      "  }\n",
      "}\n",
      "persistable: false\n",
      "], metrics=None, mode=2, inference_spec=None)\n",
      "\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:47,673 [monitored_executor.py:  105]:\tckpt_list in this Saver: ['model_71000', 'model_72000', 'model_73000']\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:47,674 [monitored_executor.py:  161]:\trestore from ckpt ./output/model_73000, ckpt-status: {'global_step': 73000, 'time': 1568892940.8021994}\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:48,051 [monitored_executor.py:  281]:\tfreezing program\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:48,052 [monitored_executor.py:  251]:\twill not freeze a program without loss\u001b[0m\n",
      "\u001b[37m[DEBUG] 2019-09-19 19:52:48,052 [monitored_executor.py:  283]:\tdone freezing\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:48,052 [monitored_executor.py:  284]:\t********** Start Loop ************\u001b[0m\n",
      "\u001b[32m[INFO] 2019-09-19 19:52:48,052 [  trainer.py:  366]:\tRunining predict from dir: {'global_step': 73000, 'time': 1568892940.8021994}\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test accuracy:0.7780439121756487\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] 2019-09-19 20:08:45,357 [monitored_executor.py:  336]:\t********** Stop Loop ************\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "result = []\n",
    "learner = propeller.Learner(ClassificationErnieModel, run_config, params=config, )\n",
    "for pred in learner.predict(test_ds, ckpt=-1):\n",
    "    result.append(np.argmax(pred))\n",
    "    \n",
    "result, true_label = np.array(result), np.array(true_label)\n",
    "\n",
    "test_acc = (result == true_label).sum() / len(true_label)\n",
    "print('test accuracy:%.5f' % test_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Serving\n",
    "your model is now ready to serve! \n",
    "you can open up a server by propeller with \n",
    "```script\n",
    "python -m propeller.tools.start_server -m /path/to/saved/model -p 8888\n",
    "```\n"
   ]
  }
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