fix log, add avg script

deepspeech/exps/u2/model.py

@@ -136,7 +136,7 @@ class U2Trainer(Trainer):
                 msg = f"Valid: Rank: {dist.get_rank()}, "
                 msg += "epoch: {}, ".format(self.epoch)
                 msg += "step: {}, ".format(self.iteration)
-                msg += "batch : {}/{}, ".format(i + 1, len(self.valid_loader))
+                msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader))
                 msg += ', '.join('{}: {:>.6f}'.format(k, v)
                                  for k, v in valid_dump.items())
                 logger.info(msg)

examples/aishell/s1/conf/conformer.yaml

@@ -90,7 +90,7 @@ training:
 
 decoding:
   batch_size: 16
-  error_rate_type: wer
+  error_rate_type: cer 
   decoding_method: attention  # 'attention', 'ctc_greedy_search', 'ctc_prefix_beam_search', 'attention_rescoring'
   lang_model_path: data/lm/common_crawl_00.prune01111.trie.klm
   alpha: 2.5

examples/aishell/s1/local/avg.sh

+#! /usr/bin/env bash
+
+if [ $# != 2 ];then
+    echo "usage: ${0} ckpt_path avg_num"
+    exit -1
+fi
+
+ckpt_path=${1}
+average_num=${2}
+decode_checkpoint=${ckpt_path}/avg_${average_num}.pt
+
+python3 -u ${MAIN_ROOT}/utils/avg_model.py \
+--dst_model ${decode_checkpoint} \
+--ckpt_dir ${ckpt_path}  \
+--num ${average_num} \
+--val_best
+            
+if [ $? -ne 0 ]; then
+    echo "Failed in avg ckpt!"
+    exit 1
+fi
+
+
+exit 0
\ No newline at end of file

examples/aishell/s1/local/export.sh

 #! /usr/bin/env bash
 
 if [ $# != 2 ];then
-    echo "usage: export ckpt_path jit_model_path"
+    echo "usage: ${0}  ckpt_path jit_model_path"
     exit -1
 fi
 
@@ -12,7 +12,7 @@ python3 -u ${BIN_DIR}/export.py \
 
 
 if [ $? -ne 0 ]; then
-    echo "Failed in evaluation!"
+    echo "Failed in export!"
     exit 1
 fi
 

examples/aishell/s1/local/test.sh

 #! /usr/bin/env bash
 
-# download language model
-bash local/download_lm_ch.sh
-if [ $? -ne 0 ]; then
-    exit 1
+if [ $# != 1 ];then
+    echo "usage: ${0} ckpt_path"
+    exit -1
 fi
 
+# download language model
+#bash local/download_lm_ch.sh
+#if [ $? -ne 0 ]; then
+#    exit 1
+#fi
+
 python3 -u ${BIN_DIR}/test.py \
 --device 'gpu' \
 --nproc 1 \
 --config conf/conformer.yaml \
---output ckpt
+--result_file ${1}.rsl \
+--checkpoint_path ${1} 
 
 if [ $? -ne 0 ]; then
     echo "Failed in evaluation!"

examples/aishell/s1/local/train.sh

 #! /usr/bin/env bash
 
+if [ $# != 1 ];then
+    echo "usage: ${0} ckpt_tag"
+    exit -1
+fi
+
 ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
 echo "using $ngpu gpus..."