53.md

# 使用 Ray Tune 进行超参数调整¶

> 原文：<https://pytorch.org/tutorials/beginner/hyperparameter_tuning_tutorial.html>

超参数调整可以使平均模型与高精度模型有所不同。 通常，选择不同的学习率或更改网络层大小等简单的事情可能会对模型性能产生巨大影响。

幸运的是，有一些工具可以帮助您找到最佳的参数组合。 [Ray Tune](https://docs.ray.io/en/latest/tune.html) 是用于分布式超参数调整的行业标准工具。 Ray Tune 包含最新的超参数搜索算法，与 TensorBoard 和其他分析库集成，并通过 [Ray 的分布式机器学习引擎](https://ray.io/)本地支持分布式训练。

在本教程中，我们将向您展示如何将 Ray Tune 集成到 PyTorch 训练工作流程中。 我们将从 PyTorch 文档扩展本教程的[，以训练 CIFAR10 图像分类器。](https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html)

如您所见，我们只需要添加一些细微的修改即可。 特别是，我们需要

1.  在功能中包装数据加载和训练，
2.  使一些网络参数可配置，
3.  添加检查点（可选），
4.  并定义用于模型调整的搜索空间

要运行本教程，请确保已安装以下软件包：

*   `ray[tune]`：分布式超参数调整库
*   `torchvision`：用于数据转换器

## 设置/导入

让我们从导入开始：

```py
from functools import partial
import numpy as np
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import random_split
import torchvision
import torchvision.transforms as transforms
from ray import tune
from ray.tune import CLIReporter
from ray.tune.schedulers import ASHAScheduler

```

建立 PyTorch 模型需要大多数进口产品。 Ray Tune 仅最后三个进口。

## 数据加载器

我们将数据加载器包装在它们自己的函数中，并传递一个全局数据目录。 这样，我们可以在不同的试验之间共享数据目录。

```py
def load_data(data_dir="./data"):
    transform = transforms.Compose([
        transforms.ToTensor(),
        transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
    ])

    trainset = torchvision.datasets.CIFAR10(
        root=data_dir, train=True, download=True, transform=transform)

    testset = torchvision.datasets.CIFAR10(
        root=data_dir, train=False, download=True, transform=transform)

    return trainset, testset

```

## 可配置神经网络] [docs / modern-java-zh /

我们只能调整那些可配置的参数。 在此示例中，我们可以指定全连接层的层大小：

```py
class Net(nn.Module):
    def __init__(self, l1=120, l2=84):
        super(Net, self).__init__()
        self.conv1 = nn.Conv2d(3, 6, 5)
        self.pool = nn.MaxPool2d(2, 2)
        self.conv2 = nn.Conv2d(6, 16, 5)
        self.fc1 = nn.Linear(16 * 5 * 5, l1)
        self.fc2 = nn.Linear(l1, l2)
        self.fc3 = nn.Linear(l2, 10)

    def forward(self, x):
        x = self.pool(F.relu(self.conv1(x)))
        x = self.pool(F.relu(self.conv2(x)))
        x = x.view(-1, 16 * 5 * 5)
        x = F.relu(self.fc1(x))
        x = F.relu(self.fc2(x))
        x = self.fc3(x)
        return x

```

## 火车功能] [docs / modern-java-zh /

现在变得有趣了，因为我们对 PyTorch 文档中的示例[进行了一些更改。](https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html)

我们将训练脚本包装在函数`train_cifar(config, checkpoint_dir=None, data_dir=None)`中。 可以猜到，`config`参数将接收我们要训练的超参数。 `checkpoint_dir`参数用于还原检查点。 `data_dir`指定了我们加载和存储数据的目录，因此多次运行可以共享同一数据源。

```py
net = Net(config["l1"], config["l2"])

if checkpoint_dir:
    model_state, optimizer_state = torch.load(
        os.path.join(checkpoint_dir, "checkpoint"))
    net.load_state_dict(model_state)
    optimizer.load_state_dict(optimizer_state)

```

优化器的学习率也可以配置：

```py
optimizer = optim.SGD(net.parameters(), lr=config["lr"], momentum=0.9)

```

我们还将训练数据分为训练和验证子集。 因此，我们训练了 80% 的数据，并计算了其余 20% 的验证损失。 我们遍历训练和测试集的批量大小也是可配置的。

### 通过 DataParallel 添加（多）GPU 支持

图像分类主要受益于 GPU。 幸运的是，我们可以继续在 Ray Tune 中使用 PyTorch 的抽象。 因此，我们可以将模型包装在`nn.DataParallel`中，以支持在多个 GPU 上进行数据并行训练：

```py
device = "cpu"
if torch.cuda.is_available():
    device = "cuda:0"
    if torch.cuda.device_count() > 1:
        net = nn.DataParallel(net)
net.to(device)

```

通过使用`device`变量，我们可以确保在没有 GPU 的情况下训练也能正常进行。 PyTorch 要求我们将数据显式发送到 GPU 内存，如下所示：

```py
for i, data in enumerate(trainloader, 0):
    inputs, labels = data
    inputs, labels = inputs.to(device), labels.to(device)

```

该代码现在支持在 CPU，单个 GPU 和多个 GPU 上进行训练。 值得注意的是，Ray 还支持[分数 GPU](https://docs.ray.io/en/master/using-ray-with-gpus.html#fractional-gpus) ，因此我们可以在试验之间共享 GPU，只要模型仍适合 GPU 内存即可。 我们稍后再讲。

### 与 Ray Tune 交流

最有趣的部分是与 Ray Tune 的交流：

```py
with tune.checkpoint_dir(epoch) as checkpoint_dir:
    path = os.path.join(checkpoint_dir, "checkpoint")
    torch.save((net.state_dict(), optimizer.state_dict()), path)

tune.report(loss=(val_loss / val_steps), accuracy=correct / total)

```

在这里，我们首先保存一个检查点，然后将一些指标报告给 Ray Tune。 具体来说，我们将验证损失和准确率发送回 Ray Tune。 然后，Ray Tune 可以使用这些指标来决定哪种超参数配置可以带来最佳结果。 这些指标还可用于尽早停止效果不佳的试验，以避免浪费资源进行试验。

保存检查点是可选的，但是，如果我们想使用高级调度程序，例如[基于人口的训练](https://docs.ray.io/en/master/tune/tutorials/tune-advanced-tutorial.html)，则有必要。 另外，通过保存检查点，我们可以稍后加载经过训练的模型并在测试集上对其进行验证。

### 完整的训练功能] [docs / modern-java-zh /

完整的代码示例如下所示：

```py
def train_cifar(config, checkpoint_dir=None, data_dir=None):
    net = Net(config["l1"], config["l2"])

    device = "cpu"
    if torch.cuda.is_available():
        device = "cuda:0"
        if torch.cuda.device_count() > 1:
            net = nn.DataParallel(net)
    net.to(device)

    criterion = nn.CrossEntropyLoss()
    optimizer = optim.SGD(net.parameters(), lr=config["lr"], momentum=0.9)

    if checkpoint_dir:
        model_state, optimizer_state = torch.load(
            os.path.join(checkpoint_dir, "checkpoint"))
        net.load_state_dict(model_state)
        optimizer.load_state_dict(optimizer_state)

    trainset, testset = load_data(data_dir)

    test_abs = int(len(trainset) * 0.8)
    train_subset, val_subset = random_split(
        trainset, [test_abs, len(trainset) - test_abs])

    trainloader = torch.utils.data.DataLoader(
        train_subset,
        batch_size=int(config["batch_size"]),
        shuffle=True,
        num_workers=8)
    valloader = torch.utils.data.DataLoader(
        val_subset,
        batch_size=int(config["batch_size"]),
        shuffle=True,
        num_workers=8)

    for epoch in range(10):  # loop over the dataset multiple times
        running_loss = 0.0
        epoch_steps = 0
        for i, data in enumerate(trainloader, 0):
            # get the inputs; data is a list of [inputs, labels]
            inputs, labels = data
            inputs, labels = inputs.to(device), labels.to(device)

            # zero the parameter gradients
            optimizer.zero_grad()

            # forward + backward + optimize
            outputs = net(inputs)
            loss = criterion(outputs, labels)
            loss.backward()
            optimizer.step()

            # print statistics
            running_loss += loss.item()
            epoch_steps += 1
            if i % 2000 == 1999:  # print every 2000 mini-batches
                print("[%d, %5d] loss: %.3f" % (epoch + 1, i + 1,
                                                running_loss / epoch_steps))
                running_loss = 0.0

        # Validation loss
        val_loss = 0.0
        val_steps = 0
        total = 0
        correct = 0
        for i, data in enumerate(valloader, 0):
            with torch.no_grad():
                inputs, labels = data
                inputs, labels = inputs.to(device), labels.to(device)

                outputs = net(inputs)
                _, predicted = torch.max(outputs.data, 1)
                total += labels.size(0)
                correct += (predicted == labels).sum().item()

                loss = criterion(outputs, labels)
                val_loss += loss.cpu().numpy()
                val_steps += 1

        with tune.checkpoint_dir(epoch) as checkpoint_dir:
            path = os.path.join(checkpoint_dir, "checkpoint")
            torch.save((net.state_dict(), optimizer.state_dict()), path)

        tune.report(loss=(val_loss / val_steps), accuracy=correct / total)
    print("Finished Training")

```

如您所见，大多数代码直接来自原始示例。

## 测试集准确率

通常，机器学习模型的性能是在保持测试集上使用尚未用于训练模型的数据进行测试的。 我们还将其包装在一个函数中：

```py
def test_accuracy(net, device="cpu"):
    trainset, testset = load_data()

    testloader = torch.utils.data.DataLoader(
        testset, batch_size=4, shuffle=False, num_workers=2)

    correct = 0
    total = 0
    with torch.no_grad():
        for data in testloader:
            images, labels = data
            images, labels = images.to(device), labels.to(device)
            outputs = net(images)
            _, predicted = torch.max(outputs.data, 1)
            total += labels.size(0)
            correct += (predicted == labels).sum().item()

    return correct / total

```

该函数还需要一个`device`参数，因此我们可以在 GPU 上进行测试集验证。

## 配置搜索空间

最后，我们需要定义 Ray Tune 的搜索空间。 这是一个例子：

```py
config = {
    "l1": tune.sample_from(lambda _: 2**np.random.randint(2, 9)),
    "l2": tune.sample_from(lambda _: 2**np.random.randint(2, 9)),
    "lr": tune.loguniform(1e-4, 1e-1),
    "batch_size": tune.choice([2, 4, 8, 16])
}

```

`tune.sample_from()`功能使您可以定义自己的采样方法以获得超参数。 在此示例中，`l1`和`l2`参数应为 4 到 256 之间的 2 的幂，因此应为 4、8、16、32、64、128 或 256。`lr`（学习率）应为 在 0.0001 和 0.1 之间均匀采样。 最后，批量大小可以在 2、4、8 和 16 之间选择。

现在，在每次试用中，Ray Tune 都会从这些搜索空间中随机抽取参数组合。 然后它将并行训练许多模型，并在其中找到性能最佳的模型。 我们还使用`ASHAScheduler`，它将尽早终止效果不佳的测试。

我们用`functools.partial`包装`train_cifar`函数以设置常量`data_dir`参数。 我们还可以告诉 Ray Tune 每个审判应提供哪些资源：

```py
gpus_per_trial = 2
# ...
result = tune.run(
    partial(train_cifar, data_dir=data_dir),
    resources_per_trial={"cpu": 8, "gpu": gpus_per_trial},
    config=config,
    num_samples=num_samples,
    scheduler=scheduler,
    progress_reporter=reporter,
    checkpoint_at_end=True)

```

您可以指定 CPU 的数量，例如 增加 PyTorch `DataLoader`实例的`num_workers`。 在每次试用中，选定数量的 GPU 对 PyTorch 都是可见的。 试用版无法访问未要求使用 GPU 的 GPU，因此您不必担心使用同一组资源进行两次试用。

在这里，我们还可以指定分数 GPU，因此`gpus_per_trial=0.5`之类的东西完全有效。 然后，试用版将彼此共享 GPU。 您只需要确保模型仍然适合 GPU 内存即可。

训练完模型后，我们将找到性能最好的模型，并从检查点文件中加载训练后的网络。 然后，我们获得测试仪的准确率，并通过打印报告一切。

完整的主要功能如下：

```py
def main(num_samples=10, max_num_epochs=10, gpus_per_trial=2):
    data_dir = os.path.abspath("./data")
    load_data(data_dir)
    config = {
        "l1": tune.sample_from(lambda _: 2 ** np.random.randint(2, 9)),
        "l2": tune.sample_from(lambda _: 2 ** np.random.randint(2, 9)),
        "lr": tune.loguniform(1e-4, 1e-1),
        "batch_size": tune.choice([2, 4, 8, 16])
    }
    scheduler = ASHAScheduler(
        metric="loss",
        mode="min",
        max_t=max_num_epochs,
        grace_period=1,
        reduction_factor=2)
    reporter = CLIReporter(
        # parameter_columns=["l1", "l2", "lr", "batch_size"],
        metric_columns=["loss", "accuracy", "training_iteration"])
    result = tune.run(
        partial(train_cifar, data_dir=data_dir),
        resources_per_trial={"cpu": 2, "gpu": gpus_per_trial},
        config=config,
        num_samples=num_samples,
        scheduler=scheduler,
        progress_reporter=reporter)

    best_trial = result.get_best_trial("loss", "min", "last")
    print("Best trial config: {}".format(best_trial.config))
    print("Best trial final validation loss: {}".format(
        best_trial.last_result["loss"]))
    print("Best trial final validation accuracy: {}".format(
        best_trial.last_result["accuracy"]))

    best_trained_model = Net(best_trial.config["l1"], best_trial.config["l2"])
    device = "cpu"
    if torch.cuda.is_available():
        device = "cuda:0"
        if gpus_per_trial > 1:
            best_trained_model = nn.DataParallel(best_trained_model)
    best_trained_model.to(device)

    best_checkpoint_dir = best_trial.checkpoint.value
    model_state, optimizer_state = torch.load(os.path.join(
        best_checkpoint_dir, "checkpoint"))
    best_trained_model.load_state_dict(model_state)

    test_acc = test_accuracy(best_trained_model, device)
    print("Best trial test set accuracy: {}".format(test_acc))

if __name__ == "__main__":
    # You can change the number of GPUs per trial here:
    main(num_samples=10, max_num_epochs=10, gpus_per_trial=0)

```

出：

```py
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to /var/lib/jenkins/workspace/beginner_source/data/cifar-10-python.tar.gz
Extracting /var/lib/jenkins/workspace/beginner_source/data/cifar-10-python.tar.gz to /var/lib/jenkins/workspace/beginner_source/data
Files already downloaded and verified
== Status ==
Memory usage on this node: 4.0/240.1 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 1/10 (1 RUNNING)
+---------------------+----------+-------+--------------+------+------+-------------+
| Trial name          | status   | loc   |   batch_size |   l1 |   l2 |          lr |
|---------------------+----------+-------+--------------+------+------+-------------|
| DEFAULT_d3304_00000 | RUNNING  |       |            2 |    4 |   16 | 0.000111924 |
+---------------------+----------+-------+--------------+------+------+-------------+

[2m[36m(pid=1588)[0m Files already downloaded and verified
[2m[36m(pid=1568)[0m Files already downloaded and verified
[2m[36m(pid=1504)[0m Files already downloaded and verified
[2m[36m(pid=1575)[0m Files already downloaded and verified
[2m[36m(pid=1494)[0m Files already downloaded and verified
[2m[36m(pid=1572)[0m Files already downloaded and verified
[2m[36m(pid=1567)[0m Files already downloaded and verified
[2m[36m(pid=1585)[0m Files already downloaded and verified
[2m[36m(pid=1565)[0m Files already downloaded and verified
[2m[36m(pid=1505)[0m Files already downloaded and verified
[2m[36m(pid=1588)[0m Files already downloaded and verified
[2m[36m(pid=1568)[0m Files already downloaded and verified
[2m[36m(pid=1504)[0m Files already downloaded and verified
[2m[36m(pid=1575)[0m Files already downloaded and verified
[2m[36m(pid=1494)[0m Files already downloaded and verified
[2m[36m(pid=1572)[0m Files already downloaded and verified
[2m[36m(pid=1567)[0m Files already downloaded and verified
[2m[36m(pid=1565)[0m Files already downloaded and verified
[2m[36m(pid=1585)[0m Files already downloaded and verified
[2m[36m(pid=1505)[0m Files already downloaded and verified
[2m[36m(pid=1585)[0m [1,  2000] loss: 2.307
[2m[36m(pid=1568)[0m [1,  2000] loss: 2.226
[2m[36m(pid=1565)[0m [1,  2000] loss: 2.141
[2m[36m(pid=1505)[0m [1,  2000] loss: 2.339
[2m[36m(pid=1504)[0m [1,  2000] loss: 2.042
[2m[36m(pid=1572)[0m [1,  2000] loss: 2.288
[2m[36m(pid=1567)[0m [1,  2000] loss: 2.047
[2m[36m(pid=1575)[0m [1,  2000] loss: 2.316
[2m[36m(pid=1494)[0m [1,  2000] loss: 2.322
[2m[36m(pid=1588)[0m [1,  2000] loss: 2.289
[2m[36m(pid=1585)[0m [1,  4000] loss: 1.154
[2m[36m(pid=1505)[0m [1,  4000] loss: 1.170
[2m[36m(pid=1565)[0m [1,  4000] loss: 0.939
[2m[36m(pid=1568)[0m [1,  4000] loss: 1.102
[2m[36m(pid=1504)[0m [1,  4000] loss: 0.916
[2m[36m(pid=1572)[0m [1,  4000] loss: 1.156
Result for DEFAULT_d3304_00003:
  accuracy: 0.226
  date: 2021-01-05_20-23-37
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.083958268547058
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 27.169169902801514
  time_this_iter_s: 27.169169902801514
  time_total_s: 27.169169902801514
  timestamp: 1609878217
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 9.2/240.1 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.083958268547058
Resources requested: 20/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (10 RUNNING)
+---------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status   | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING  |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00001 | RUNNING  |                 |            8 |   16 |   32 | 0.077467    |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING  |                 |            4 |    8 |  128 | 0.00436986  |         |            |                      |
| DEFAULT_d3304_00003 | RUNNING  | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 2.08396 |      0.226 |                    1 |
| DEFAULT_d3304_00004 | RUNNING  |                 |            4 |   16 |   32 | 0.016474    |         |            |                      |
| DEFAULT_d3304_00005 | RUNNING  |                 |            4 |  128 |   64 | 0.00757252  |         |            |                      |
| DEFAULT_d3304_00006 | RUNNING  |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00007 | RUNNING  |                 |            8 |    8 |    8 | 0.000155891 |         |            |                      |
| DEFAULT_d3304_00008 | RUNNING  |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00009 | RUNNING  |                 |            4 |    4 |   32 | 0.0175239   |         |            |                      |
+---------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1567)[0m [1,  4000] loss: 0.943
[2m[36m(pid=1494)[0m [1,  4000] loss: 1.155
[2m[36m(pid=1575)[0m [1,  4000] loss: 1.162
[2m[36m(pid=1585)[0m [1,  6000] loss: 0.768
[2m[36m(pid=1505)[0m [1,  6000] loss: 0.780
[2m[36m(pid=1565)[0m [1,  6000] loss: 0.582
[2m[36m(pid=1504)[0m [1,  6000] loss: 0.587
[2m[36m(pid=1568)[0m [1,  6000] loss: 0.770
[2m[36m(pid=1572)[0m [1,  6000] loss: 0.771
[2m[36m(pid=1567)[0m [1,  6000] loss: 0.615
Result for DEFAULT_d3304_00007:
  accuracy: 0.1011
  date: 2021-01-05_20-23-51
  done: true
  experiment_id: 947614a8c2a74533be128b929f363bd1
  experiment_tag: 7_batch_size=8,l1=8,l2=8,lr=0.00015589
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.3038805620193483
  node_ip: 172.17.0.2
  pid: 1494
  should_checkpoint: true
  time_since_restore: 41.69914960861206
  time_this_iter_s: 41.69914960861206
  time_total_s: 41.69914960861206
  timestamp: 1609878231
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00007

== Status ==
Memory usage on this node: 9.1/240.1 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.193919415283203
Resources requested: 20/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (10 RUNNING)
+---------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status   | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING  |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00001 | RUNNING  |                 |            8 |   16 |   32 | 0.077467    |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING  |                 |            4 |    8 |  128 | 0.00436986  |         |            |                      |
| DEFAULT_d3304_00003 | RUNNING  | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 2.08396 |     0.226  |                    1 |
| DEFAULT_d3304_00004 | RUNNING  |                 |            4 |   16 |   32 | 0.016474    |         |            |                      |
| DEFAULT_d3304_00005 | RUNNING  |                 |            4 |  128 |   64 | 0.00757252  |         |            |                      |
| DEFAULT_d3304_00006 | RUNNING  |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00007 | RUNNING  | 172.17.0.2:1494 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | RUNNING  |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00009 | RUNNING  |                 |            4 |    4 |   32 | 0.0175239   |         |            |                      |
+---------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

Result for DEFAULT_d3304_00001:
  accuracy: 0.1017
  date: 2021-01-05_20-23-51
  done: true
  experiment_id: 26ac228b4b454584869f8490742cf253
  experiment_tag: 1_batch_size=8,l1=16,l2=32,lr=0.077467
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.321864831352234
  node_ip: 172.17.0.2
  pid: 1575
  should_checkpoint: true
  time_since_restore: 42.09821367263794
  time_this_iter_s: 42.09821367263794
  time_total_s: 42.09821367263794
  timestamp: 1609878231
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00001

[2m[36m(pid=1588)[0m [2,  2000] loss: 1.916
[2m[36m(pid=1585)[0m [1,  8000] loss: 0.576
[2m[36m(pid=1505)[0m [1,  8000] loss: 0.584
[2m[36m(pid=1565)[0m [1,  8000] loss: 0.422
[2m[36m(pid=1504)[0m [1,  8000] loss: 0.433
[2m[36m(pid=1572)[0m [1,  8000] loss: 0.578
[2m[36m(pid=1568)[0m [1,  8000] loss: 0.580
Result for DEFAULT_d3304_00003:
  accuracy: 0.3762
  date: 2021-01-05_20-24-00
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 2
  loss: 1.7041921138763427
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 50.74612545967102
  time_this_iter_s: 23.576955556869507
  time_total_s: 50.74612545967102
  timestamp: 1609878240
  timesteps_since_restore: 0
  training_iteration: 2
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 8.0/240.1 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.3038805620193483
Resources requested: 16/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (8 RUNNING, 2 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING    |                 |            4 |    8 |  128 | 0.00436986  |         |            |                      |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.70419 |     0.3762 |                    2 |
| DEFAULT_d3304_00004 | RUNNING    |                 |            4 |   16 |   32 | 0.016474    |         |            |                      |
| DEFAULT_d3304_00005 | RUNNING    |                 |            4 |  128 |   64 | 0.00757252  |         |            |                      |
| DEFAULT_d3304_00006 | RUNNING    |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00008 | RUNNING    |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00009 | RUNNING    |                 |            4 |    4 |   32 | 0.0175239   |         |            |                      |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1567)[0m [1,  8000] loss: 0.458
[2m[36m(pid=1585)[0m [1, 10000] loss: 0.461
[2m[36m(pid=1505)[0m [1, 10000] loss: 0.467
[2m[36m(pid=1565)[0m [1, 10000] loss: 0.329
[2m[36m(pid=1504)[0m [1, 10000] loss: 0.344
[2m[36m(pid=1572)[0m [1, 10000] loss: 0.463
[2m[36m(pid=1568)[0m [1, 10000] loss: 0.464
[2m[36m(pid=1567)[0m [1, 10000] loss: 0.360
[2m[36m(pid=1588)[0m [3,  2000] loss: 1.663
Result for DEFAULT_d3304_00002:
  accuracy: 0.3791
  date: 2021-01-05_20-24-18
  done: false
  experiment_id: eaf4d25c9a0e46219afb226ed323095b
  experiment_tag: 2_batch_size=4,l1=8,l2=128,lr=0.0043699
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 1.6690538251161575
  node_ip: 172.17.0.2
  pid: 1504
  should_checkpoint: true
  time_since_restore: 68.1856791973114
  time_this_iter_s: 68.1856791973114
  time_total_s: 68.1856791973114
  timestamp: 1609878258
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00002

== Status ==
Memory usage on this node: 8.0/240.1 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.193919415283203
Resources requested: 16/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (8 RUNNING, 2 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.66905 |     0.3791 |                    1 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.70419 |     0.3762 |                    2 |
| DEFAULT_d3304_00004 | RUNNING    |                 |            4 |   16 |   32 | 0.016474    |         |            |                      |
| DEFAULT_d3304_00005 | RUNNING    |                 |            4 |  128 |   64 | 0.00757252  |         |            |                      |
| DEFAULT_d3304_00006 | RUNNING    |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00008 | RUNNING    |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00009 | RUNNING    |                 |            4 |    4 |   32 | 0.0175239   |         |            |                      |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1585)[0m [1, 12000] loss: 0.384
[2m[36m(pid=1505)[0m [1, 12000] loss: 0.390
Result for DEFAULT_d3304_00009:
  accuracy: 0.101
  date: 2021-01-05_20-24-19
  done: true
  experiment_id: 471eb6134c2a45509b005af46861c602
  experiment_tag: 9_batch_size=4,l1=4,l2=32,lr=0.017524
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.310983589553833
  node_ip: 172.17.0.2
  pid: 1572
  should_checkpoint: true
  time_since_restore: 69.29919123649597
  time_this_iter_s: 69.29919123649597
  time_total_s: 69.29919123649597
  timestamp: 1609878259
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00009

Result for DEFAULT_d3304_00004:
  accuracy: 0.102
  date: 2021-01-05_20-24-19
  done: true
  experiment_id: bd1f438c1fdd4a9ba98074d1cfd573fe
  experiment_tag: 4_batch_size=4,l1=16,l2=32,lr=0.016474
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.313420217037201
  node_ip: 172.17.0.2
  pid: 1568
  should_checkpoint: true
  time_since_restore: 69.48366618156433
  time_this_iter_s: 69.48366618156433
  time_total_s: 69.48366618156433
  timestamp: 1609878259
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00004

[2m[36m(pid=1565)[0m [1, 12000] loss: 0.267
Result for DEFAULT_d3304_00005:
  accuracy: 0.3301
  date: 2021-01-05_20-24-22
  done: false
  experiment_id: 738b3d315db548a7956646b2c07f1b0c
  experiment_tag: 5_batch_size=4,l1=128,l2=64,lr=0.0075725
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 1.8058318739891053
  node_ip: 172.17.0.2
  pid: 1567
  should_checkpoint: true
  time_since_restore: 72.0806794166565
  time_this_iter_s: 72.0806794166565
  time_total_s: 72.0806794166565
  timestamp: 1609878262
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00005

Result for DEFAULT_d3304_00003:
  accuracy: 0.4242
  date: 2021-01-05_20-24-23
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 3
  loss: 1.5498835063934326
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 73.29849410057068
  time_this_iter_s: 22.552368640899658
  time_total_s: 73.29849410057068
  timestamp: 1609878263
  timesteps_since_restore: 0
  training_iteration: 3
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 6.9/240.1 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.3038805620193483
Resources requested: 12/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (6 RUNNING, 4 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.66905 |     0.3791 |                    1 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.54988 |     0.4242 |                    3 |
| DEFAULT_d3304_00005 | RUNNING    | 172.17.0.2:1567 |            4 |  128 |   64 | 0.00757252  | 1.80583 |     0.3301 |                    1 |
| DEFAULT_d3304_00006 | RUNNING    |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00008 | RUNNING    |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1585)[0m [1, 14000] loss: 0.329
[2m[36m(pid=1504)[0m [2,  2000] loss: 1.708
[2m[36m(pid=1565)[0m [1, 14000] loss: 0.225
[2m[36m(pid=1505)[0m [1, 14000] loss: 0.334
[2m[36m(pid=1567)[0m [2,  2000] loss: 1.803
[2m[36m(pid=1585)[0m [1, 16000] loss: 0.288
[2m[36m(pid=1588)[0m [4,  2000] loss: 1.541
[2m[36m(pid=1504)[0m [2,  4000] loss: 0.840
[2m[36m(pid=1565)[0m [1, 16000] loss: 0.198
[2m[36m(pid=1505)[0m [1, 16000] loss: 0.292
[2m[36m(pid=1567)[0m [2,  4000] loss: 0.912
Result for DEFAULT_d3304_00003:
  accuracy: 0.4494
  date: 2021-01-05_20-24-44
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 4
  loss: 1.4720179980278014
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 94.81268787384033
  time_this_iter_s: 21.514193773269653
  time_total_s: 94.81268787384033
  timestamp: 1609878284
  timesteps_since_restore: 0
  training_iteration: 4
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 6.9/240.1 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: None | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.3038805620193483
Resources requested: 12/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (6 RUNNING, 4 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.66905 |     0.3791 |                    1 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.47202 |     0.4494 |                    4 |
| DEFAULT_d3304_00005 | RUNNING    | 172.17.0.2:1567 |            4 |  128 |   64 | 0.00757252  | 1.80583 |     0.3301 |                    1 |
| DEFAULT_d3304_00006 | RUNNING    |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00008 | RUNNING    |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1585)[0m [1, 18000] loss: 0.256
[2m[36m(pid=1565)[0m [1, 18000] loss: 0.173
[2m[36m(pid=1504)[0m [2,  6000] loss: 0.572
[2m[36m(pid=1505)[0m [1, 18000] loss: 0.259
[2m[36m(pid=1567)[0m [2,  6000] loss: 0.611
[2m[36m(pid=1585)[0m [1, 20000] loss: 0.230
[2m[36m(pid=1565)[0m [1, 20000] loss: 0.156
[2m[36m(pid=1505)[0m [1, 20000] loss: 0.234
[2m[36m(pid=1504)[0m [2,  8000] loss: 0.417
[2m[36m(pid=1588)[0m [5,  2000] loss: 1.452
[2m[36m(pid=1567)[0m [2,  8000] loss: 0.461
Result for DEFAULT_d3304_00003:
  accuracy: 0.4839
  date: 2021-01-05_20-25-06
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 5
  loss: 1.4083827662467956
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 116.5817449092865
  time_this_iter_s: 21.769057035446167
  time_total_s: 116.5817449092865
  timestamp: 1609878306
  timesteps_since_restore: 0
  training_iteration: 5
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 6.9/240.1 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: None | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.3038805620193483
Resources requested: 12/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (6 RUNNING, 4 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    |                 |            2 |    4 |   16 | 0.000111924 |         |            |                      |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.66905 |     0.3791 |                    1 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.40838 |     0.4839 |                    5 |
| DEFAULT_d3304_00005 | RUNNING    | 172.17.0.2:1567 |            4 |  128 |   64 | 0.00757252  | 1.80583 |     0.3301 |                    1 |
| DEFAULT_d3304_00006 | RUNNING    |                 |            2 |   64 |  256 | 0.00177236  |         |            |                      |
| DEFAULT_d3304_00008 | RUNNING    |                 |            2 |   16 |   64 | 0.0310199   |         |            |                      |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1504)[0m [2, 10000] loss: 0.339
Result for DEFAULT_d3304_00000:
  accuracy: 0.1104
  date: 2021-01-05_20-25-10
  done: false
  experiment_id: 454624d453954d46b33a1eb496e7ec53
  experiment_tag: 0_batch_size=2,l1=4,l2=16,lr=0.00011192
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.2988875378131866
  node_ip: 172.17.0.2
  pid: 1585
  should_checkpoint: true
  time_since_restore: 120.59520411491394
  time_this_iter_s: 120.59520411491394
  time_total_s: 120.59520411491394
  timestamp: 1609878310
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00000

Result for DEFAULT_d3304_00008:
  accuracy: 0.0983
  date: 2021-01-05_20-25-11
  done: true
  experiment_id: 381603b190bc47a9b794321f7692695f
  experiment_tag: 8_batch_size=2,l1=16,l2=64,lr=0.03102
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 2.336980807876587
  node_ip: 172.17.0.2
  pid: 1505
  should_checkpoint: true
  time_since_restore: 121.36707901954651
  time_this_iter_s: 121.36707901954651
  time_total_s: 121.36707901954651
  timestamp: 1609878311
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00008

Result for DEFAULT_d3304_00006:
  accuracy: 0.4586
  date: 2021-01-05_20-25-11
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 1
  loss: 1.5124113649010658
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 121.536208152771
  time_this_iter_s: 121.536208152771
  time_total_s: 121.536208152771
  timestamp: 1609878311
  timesteps_since_restore: 0
  training_iteration: 1
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 6.6/240.1 GiB
Using AsyncHyperBand: num_stopped=5
Bracket: Iter 8.000: None | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 10/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (5 RUNNING, 5 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 2.29889 |     0.1104 |                    1 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.66905 |     0.3791 |                    1 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.40838 |     0.4839 |                    5 |
| DEFAULT_d3304_00005 | RUNNING    | 172.17.0.2:1567 |            4 |  128 |   64 | 0.00757252  | 1.80583 |     0.3301 |                    1 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

Result for DEFAULT_d3304_00002:
  accuracy: 0.4078
  date: 2021-01-05_20-25-16
  done: false
  experiment_id: eaf4d25c9a0e46219afb226ed323095b
  experiment_tag: 2_batch_size=4,l1=8,l2=128,lr=0.0043699
  hostname: 1a844a452371
  iterations_since_restore: 2
  loss: 1.6191314194440842
  node_ip: 172.17.0.2
  pid: 1504
  should_checkpoint: true
  time_since_restore: 126.61185264587402
  time_this_iter_s: 58.42617344856262
  time_total_s: 126.61185264587402
  timestamp: 1609878316
  timesteps_since_restore: 0
  training_iteration: 2
  trial_id: d3304_00002

[2m[36m(pid=1567)[0m [2, 10000] loss: 0.371
[2m[36m(pid=1585)[0m [2,  2000] loss: 2.298
[2m[36m(pid=1565)[0m [2,  2000] loss: 1.466
[2m[36m(pid=1588)[0m [6,  2000] loss: 1.383
Result for DEFAULT_d3304_00005:
  accuracy: 0.3647
  date: 2021-01-05_20-25-24
  done: true
  experiment_id: 738b3d315db548a7956646b2c07f1b0c
  experiment_tag: 5_batch_size=4,l1=128,l2=64,lr=0.0075725
  hostname: 1a844a452371
  iterations_since_restore: 2
  loss: 1.7739140236496926
  node_ip: 172.17.0.2
  pid: 1567
  should_checkpoint: true
  time_since_restore: 134.1462869644165
  time_this_iter_s: 62.06560754776001
  time_total_s: 134.1462869644165
  timestamp: 1609878324
  timesteps_since_restore: 0
  training_iteration: 2
  trial_id: d3304_00005

== Status ==
Memory usage on this node: 6.3/240.1 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: None | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 10/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (5 RUNNING, 5 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 2.29889 |     0.1104 |                    1 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.61913 |     0.4078 |                    2 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.40838 |     0.4839 |                    5 |
| DEFAULT_d3304_00005 | RUNNING    | 172.17.0.2:1567 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1504)[0m [3,  2000] loss: 1.656
Result for DEFAULT_d3304_00003:
  accuracy: 0.5061
  date: 2021-01-05_20-25-27
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 6
  loss: 1.3623717227935792
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 137.95851016044617
  time_this_iter_s: 21.376765251159668
  time_total_s: 137.95851016044617
  timestamp: 1609878327
  timesteps_since_restore: 0
  training_iteration: 6
  trial_id: d3304_00003

[2m[36m(pid=1585)[0m [2,  4000] loss: 1.147
[2m[36m(pid=1565)[0m [2,  4000] loss: 0.749
[2m[36m(pid=1504)[0m [3,  4000] loss: 0.838
[2m[36m(pid=1585)[0m [2,  6000] loss: 0.760
[2m[36m(pid=1565)[0m [2,  6000] loss: 0.498
[2m[36m(pid=1588)[0m [7,  2000] loss: 1.326
[2m[36m(pid=1504)[0m [3,  6000] loss: 0.560
[2m[36m(pid=1585)[0m [2,  8000] loss: 0.561
Result for DEFAULT_d3304_00003:
  accuracy: 0.5209
  date: 2021-01-05_20-25-48
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 7
  loss: 1.316757419013977
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 158.4953932762146
  time_this_iter_s: 20.536883115768433
  time_total_s: 158.4953932762146
  timestamp: 1609878348
  timesteps_since_restore: 0
  training_iteration: 7
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 5.8/240.1 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: None | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 8/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (4 RUNNING, 6 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 2.29889 |     0.1104 |                    1 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.61913 |     0.4078 |                    2 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.31676 |     0.5209 |                    7 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [2,  8000] loss: 0.372
[2m[36m(pid=1504)[0m [3,  8000] loss: 0.416
[2m[36m(pid=1585)[0m [2, 10000] loss: 0.434
[2m[36m(pid=1565)[0m [2, 10000] loss: 0.292
[2m[36m(pid=1588)[0m [8,  2000] loss: 1.278
[2m[36m(pid=1504)[0m [3, 10000] loss: 0.333
[2m[36m(pid=1585)[0m [2, 12000] loss: 0.347
[2m[36m(pid=1565)[0m [2, 12000] loss: 0.245
Result for DEFAULT_d3304_00003:
  accuracy: 0.5406
  date: 2021-01-05_20-26-08
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 8
  loss: 1.267511115884781
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 179.13841199874878
  time_this_iter_s: 20.64301872253418
  time_total_s: 179.13841199874878
  timestamp: 1609878368
  timesteps_since_restore: 0
  training_iteration: 8
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 5.8/240.1 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 8/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (4 RUNNING, 6 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 2.29889 |     0.1104 |                    1 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.61913 |     0.4078 |                    2 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.26751 |     0.5406 |                    8 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

Result for DEFAULT_d3304_00002:
  accuracy: 0.3997
  date: 2021-01-05_20-26-11
  done: false
  experiment_id: eaf4d25c9a0e46219afb226ed323095b
  experiment_tag: 2_batch_size=4,l1=8,l2=128,lr=0.0043699
  hostname: 1a844a452371
  iterations_since_restore: 3
  loss: 1.7084122330278158
  node_ip: 172.17.0.2
  pid: 1504
  should_checkpoint: true
  time_since_restore: 182.02509140968323
  time_this_iter_s: 55.413238763809204
  time_total_s: 182.02509140968323
  timestamp: 1609878371
  timesteps_since_restore: 0
  training_iteration: 3
  trial_id: d3304_00002

[2m[36m(pid=1585)[0m [2, 14000] loss: 0.290
[2m[36m(pid=1565)[0m [2, 14000] loss: 0.213
[2m[36m(pid=1504)[0m [4,  2000] loss: 1.653
[2m[36m(pid=1588)[0m [9,  2000] loss: 1.245
[2m[36m(pid=1585)[0m [2, 16000] loss: 0.244
[2m[36m(pid=1565)[0m [2, 16000] loss: 0.186
Result for DEFAULT_d3304_00003:
  accuracy: 0.5409
  date: 2021-01-05_20-26-29
  done: false
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 9
  loss: 1.2721123942375183
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 199.56540870666504
  time_this_iter_s: 20.42699670791626
  time_total_s: 199.56540870666504
  timestamp: 1609878389
  timesteps_since_restore: 0
  training_iteration: 9
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 5.8/240.1 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 8/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (4 RUNNING, 6 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 2.29889 |     0.1104 |                    1 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.70841 |     0.3997 |                    3 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.27211 |     0.5409 |                    9 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1504)[0m [4,  4000] loss: 0.842
[2m[36m(pid=1585)[0m [2, 18000] loss: 0.214
[2m[36m(pid=1565)[0m [2, 18000] loss: 0.159
[2m[36m(pid=1504)[0m [4,  6000] loss: 0.561
[2m[36m(pid=1585)[0m [2, 20000] loss: 0.191
[2m[36m(pid=1588)[0m [10,  2000] loss: 1.210
[2m[36m(pid=1565)[0m [2, 20000] loss: 0.143
Result for DEFAULT_d3304_00003:
  accuracy: 0.5619
  date: 2021-01-05_20-26-50
  done: true
  experiment_id: d4b00469893d498ea65a729df202882a
  experiment_tag: 3_batch_size=16,l1=32,l2=4,lr=0.0012023
  hostname: 1a844a452371
  iterations_since_restore: 10
  loss: 1.2222298237800597
  node_ip: 172.17.0.2
  pid: 1588
  should_checkpoint: true
  time_since_restore: 220.31984639167786
  time_this_iter_s: 20.754437685012817
  time_total_s: 220.31984639167786
  timestamp: 1609878410
  timesteps_since_restore: 0
  training_iteration: 10
  trial_id: d3304_00003

== Status ==
Memory usage on this node: 5.8/240.1 GiB
Using AsyncHyperBand: num_stopped=7
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 8/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (4 RUNNING, 6 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 2.29889 |     0.1104 |                    1 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.70841 |     0.3997 |                    3 |
| DEFAULT_d3304_00003 | RUNNING    | 172.17.0.2:1588 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1504)[0m [4,  8000] loss: 0.422
Result for DEFAULT_d3304_00000:
  accuracy: 0.2724
  date: 2021-01-05_20-26-55
  done: true
  experiment_id: 454624d453954d46b33a1eb496e7ec53
  experiment_tag: 0_batch_size=2,l1=4,l2=16,lr=0.00011192
  hostname: 1a844a452371
  iterations_since_restore: 2
  loss: 1.8605026947617531
  node_ip: 172.17.0.2
  pid: 1585
  should_checkpoint: true
  time_since_restore: 225.84529209136963
  time_this_iter_s: 105.25008797645569
  time_total_s: 225.84529209136963
  timestamp: 1609878415
  timesteps_since_restore: 0
  training_iteration: 2
  trial_id: d3304_00000

== Status ==
Memory usage on this node: 5.3/240.1 GiB
Using AsyncHyperBand: num_stopped=8
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4720179980278014 | Iter 2.000: -1.7390530687630177 | Iter 1.000: -2.301384049916267
Resources requested: 6/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (3 RUNNING, 7 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | RUNNING    | 172.17.0.2:1585 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.70841 |     0.3997 |                    3 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.51241 |     0.4586 |                    1 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

Result for DEFAULT_d3304_00006:
  accuracy: 0.5007
  date: 2021-01-05_20-26-57
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 2
  loss: 1.3979384284215048
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 227.80454421043396
  time_this_iter_s: 106.26833605766296
  time_total_s: 227.80454421043396
  timestamp: 1609878417
  timesteps_since_restore: 0
  training_iteration: 2
  trial_id: d3304_00006

[2m[36m(pid=1504)[0m [4, 10000] loss: 0.335
Result for DEFAULT_d3304_00002:
  accuracy: 0.3849
  date: 2021-01-05_20-27-06
  done: true
  experiment_id: eaf4d25c9a0e46219afb226ed323095b
  experiment_tag: 2_batch_size=4,l1=8,l2=128,lr=0.0043699
  hostname: 1a844a452371
  iterations_since_restore: 4
  loss: 1.720731588792801
  node_ip: 172.17.0.2
  pid: 1504
  should_checkpoint: true
  time_since_restore: 236.71593952178955
  time_this_iter_s: 54.69084811210632
  time_total_s: 236.71593952178955
  timestamp: 1609878426
  timesteps_since_restore: 0
  training_iteration: 4
  trial_id: d3304_00002

== Status ==
Memory usage on this node: 4.7/240.1 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.5963747934103012 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 4/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (2 RUNNING, 8 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00002 | RUNNING    | 172.17.0.2:1504 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.39794 |     0.5007 |                    2 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [3,  2000] loss: 1.373
[2m[36m(pid=1565)[0m [3,  4000] loss: 0.696
[2m[36m(pid=1565)[0m [3,  6000] loss: 0.466
[2m[36m(pid=1565)[0m [3,  8000] loss: 0.357
[2m[36m(pid=1565)[0m [3, 10000] loss: 0.283
[2m[36m(pid=1565)[0m [3, 12000] loss: 0.241
[2m[36m(pid=1565)[0m [3, 14000] loss: 0.203
[2m[36m(pid=1565)[0m [3, 16000] loss: 0.178
[2m[36m(pid=1565)[0m [3, 18000] loss: 0.160
[2m[36m(pid=1565)[0m [3, 20000] loss: 0.142
Result for DEFAULT_d3304_00006:
  accuracy: 0.5095
  date: 2021-01-05_20-28-36
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 3
  loss: 1.4272501501079649
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 326.1525847911835
  time_this_iter_s: 98.34804058074951
  time_total_s: 326.1525847911835
  timestamp: 1609878516
  timesteps_since_restore: 0
  training_iteration: 3
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 4.2/240.1 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.5963747934103012 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.42725 |     0.5095 |                    3 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |                 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [4,  2000] loss: 1.320
[2m[36m(pid=1565)[0m [4,  4000] loss: 0.701
[2m[36m(pid=1565)[0m [4,  6000] loss: 0.454
[2m[36m(pid=1565)[0m [4,  8000] loss: 0.345
[2m[36m(pid=1565)[0m [4, 10000] loss: 0.276
[2m[36m(pid=1565)[0m [4, 12000] loss: 0.234
[2m[36m(pid=1565)[0m [4, 14000] loss: 0.199
[2m[36m(pid=1565)[0m [4, 16000] loss: 0.170
[2m[36m(pid=1565)[0m [4, 18000] loss: 0.151
[2m[36m(pid=1565)[0m [4, 20000] loss: 0.144
Result for DEFAULT_d3304_00006:
  accuracy: 0.4749
  date: 2021-01-05_20-30-15
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 4
  loss: 1.4950430885698218
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 425.3827154636383
  time_this_iter_s: 99.23013067245483
  time_total_s: 425.3827154636383
  timestamp: 1609878615
  timesteps_since_restore: 0
  training_iteration: 4
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 4.1/240.1 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4950430885698218 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.49504 |     0.4749 |                    4 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |                 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [5,  2000] loss: 1.314
[2m[36m(pid=1565)[0m [5,  4000] loss: 0.663
[2m[36m(pid=1565)[0m [5,  6000] loss: 0.453
[2m[36m(pid=1565)[0m [5,  8000] loss: 0.341
[2m[36m(pid=1565)[0m [5, 10000] loss: 0.278
[2m[36m(pid=1565)[0m [5, 12000] loss: 0.235
[2m[36m(pid=1565)[0m [5, 14000] loss: 0.197
[2m[36m(pid=1565)[0m [5, 16000] loss: 0.173
[2m[36m(pid=1565)[0m [5, 18000] loss: 0.155
[2m[36m(pid=1565)[0m [5, 20000] loss: 0.137
Result for DEFAULT_d3304_00006:
  accuracy: 0.531
  date: 2021-01-05_20-31-56
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 5
  loss: 1.373500657767952
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 526.6667892932892
  time_this_iter_s: 101.28407382965088
  time_total_s: 526.6667892932892
  timestamp: 1609878716
  timesteps_since_restore: 0
  training_iteration: 5
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 4.1/240.1 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4950430885698218 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.3735  |     0.531  |                    5 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |                 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [6,  2000] loss: 1.325
[2m[36m(pid=1565)[0m [6,  4000] loss: 0.668
[2m[36m(pid=1565)[0m [6,  6000] loss: 0.457
[2m[36m(pid=1565)[0m [6,  8000] loss: 0.338
[2m[36m(pid=1565)[0m [6, 10000] loss: 0.283
[2m[36m(pid=1565)[0m [6, 12000] loss: 0.232
[2m[36m(pid=1565)[0m [6, 14000] loss: 0.198
[2m[36m(pid=1565)[0m [6, 16000] loss: 0.175
[2m[36m(pid=1565)[0m [6, 18000] loss: 0.149
[2m[36m(pid=1565)[0m [6, 20000] loss: 0.140
Result for DEFAULT_d3304_00006:
  accuracy: 0.4852
  date: 2021-01-05_20-33-55
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 6
  loss: 1.5015573524537555
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 645.3050956726074
  time_this_iter_s: 118.63830637931824
  time_total_s: 645.3050956726074
  timestamp: 1609878835
  timesteps_since_restore: 0
  training_iteration: 6
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 4.1/240.1 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4950430885698218 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.50156 |     0.4852 |                    6 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |                 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [7,  2000] loss: 1.295
[2m[36m(pid=1565)[0m [7,  4000] loss: 0.662
[2m[36m(pid=1565)[0m [7,  6000] loss: 0.452
[2m[36m(pid=1565)[0m [7,  8000] loss: 0.339
[2m[36m(pid=1565)[0m [7, 10000] loss: 0.270
[2m[36m(pid=1565)[0m [7, 12000] loss: 0.235
[2m[36m(pid=1565)[0m [7, 14000] loss: 0.193
[2m[36m(pid=1565)[0m [7, 16000] loss: 0.169
[2m[36m(pid=1565)[0m [7, 18000] loss: 0.154
[2m[36m(pid=1565)[0m [7, 20000] loss: 0.137
Result for DEFAULT_d3304_00006:
  accuracy: 0.4696
  date: 2021-01-05_20-35-52
  done: false
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 7
  loss: 1.5851255111492393
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 762.1866834163666
  time_this_iter_s: 116.88158774375916
  time_total_s: 762.1866834163666
  timestamp: 1609878952
  timesteps_since_restore: 0
  training_iteration: 7
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 4.1/240.1 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.267511115884781 | Iter 4.000: -1.4950430885698218 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.58513 |     0.4696 |                    7 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |                 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

[2m[36m(pid=1565)[0m [8,  2000] loss: 1.341
[2m[36m(pid=1565)[0m [8,  4000] loss: 0.667
[2m[36m(pid=1565)[0m [8,  6000] loss: 0.445
[2m[36m(pid=1565)[0m [8,  8000] loss: 0.336
[2m[36m(pid=1565)[0m [8, 10000] loss: 0.271
[2m[36m(pid=1565)[0m [8, 12000] loss: 0.228
[2m[36m(pid=1565)[0m [8, 14000] loss: 0.196
[2m[36m(pid=1565)[0m [8, 16000] loss: 0.175
[2m[36m(pid=1565)[0m [8, 18000] loss: 0.155
[2m[36m(pid=1565)[0m [8, 20000] loss: 0.135
Result for DEFAULT_d3304_00006:
  accuracy: 0.467
  date: 2021-01-05_20-37-32
  done: true
  experiment_id: d8bae0fc87134e6398fd0341279c1a1a
  experiment_tag: 6_batch_size=2,l1=64,l2=256,lr=0.0017724
  hostname: 1a844a452371
  iterations_since_restore: 8
  loss: 1.6539037554110967
  node_ip: 172.17.0.2
  pid: 1565
  should_checkpoint: true
  time_since_restore: 862.3724186420441
  time_this_iter_s: 100.18573522567749
  time_total_s: 862.3724186420441
  timestamp: 1609879052
  timesteps_since_restore: 0
  training_iteration: 8
  trial_id: d3304_00006

== Status ==
Memory usage on this node: 4.1/240.1 GiB
Using AsyncHyperBand: num_stopped=10
Bracket: Iter 8.000: -1.4607074356479388 | Iter 4.000: -1.4950430885698218 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 2/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc             |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00006 | RUNNING    | 172.17.0.2:1565 |            2 |   64 |  256 | 0.00177236  | 1.6539  |     0.467  |                    8 |
| DEFAULT_d3304_00000 | TERMINATED |                 |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |                 |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |                 |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |                 |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |                 |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |                 |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00007 | TERMINATED |                 |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |                 |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |                 |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+

== Status ==
Memory usage on this node: 4.0/240.1 GiB
Using AsyncHyperBand: num_stopped=10
Bracket: Iter 8.000: -1.4607074356479388 | Iter 4.000: -1.4950430885698218 | Iter 2.000: -1.7041921138763427 | Iter 1.000: -2.301384049916267
Resources requested: 0/32 CPUs, 0/2 GPUs, 0.0/157.71 GiB heap, 0.0/49.37 GiB objects
Result logdir: /var/lib/jenkins/ray_results/DEFAULT_2021-01-05_20-23-08
Number of trials: 10/10 (10 TERMINATED)
+---------------------+------------+-------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name          | status     | loc   |   batch_size |   l1 |   l2 |          lr |    loss |   accuracy |   training_iteration |
|---------------------+------------+-------+--------------+------+------+-------------+---------+------------+----------------------|
| DEFAULT_d3304_00000 | TERMINATED |       |            2 |    4 |   16 | 0.000111924 | 1.8605  |     0.2724 |                    2 |
| DEFAULT_d3304_00001 | TERMINATED |       |            8 |   16 |   32 | 0.077467    | 2.32186 |     0.1017 |                    1 |
| DEFAULT_d3304_00002 | TERMINATED |       |            4 |    8 |  128 | 0.00436986  | 1.72073 |     0.3849 |                    4 |
| DEFAULT_d3304_00003 | TERMINATED |       |           16 |   32 |    4 | 0.00120234  | 1.22223 |     0.5619 |                   10 |
| DEFAULT_d3304_00004 | TERMINATED |       |            4 |   16 |   32 | 0.016474    | 2.31342 |     0.102  |                    1 |
| DEFAULT_d3304_00005 | TERMINATED |       |            4 |  128 |   64 | 0.00757252  | 1.77391 |     0.3647 |                    2 |
| DEFAULT_d3304_00006 | TERMINATED |       |            2 |   64 |  256 | 0.00177236  | 1.6539  |     0.467  |                    8 |
| DEFAULT_d3304_00007 | TERMINATED |       |            8 |    8 |    8 | 0.000155891 | 2.30388 |     0.1011 |                    1 |
| DEFAULT_d3304_00008 | TERMINATED |       |            2 |   16 |   64 | 0.0310199   | 2.33698 |     0.0983 |                    1 |
| DEFAULT_d3304_00009 | TERMINATED |       |            4 |    4 |   32 | 0.0175239   | 2.31098 |     0.101  |                    1 |
+---------------------+------------+-------+--------------+------+------+-------------+---------+------------+----------------------+

Best trial config: {'l1': 32, 'l2': 4, 'lr': 0.0012023396319256663, 'batch_size': 16}
Best trial final validation loss: 1.2222298237800597
Best trial final validation accuracy: 0.5619
Files already downloaded and verified
Files already downloaded and verified
Best trial test set accuracy: 0.5537

```

如果运行代码，则示例输出如下所示：

为了避免浪费资源，大多数审判​​已提早停止。 效果最好的试验的验证准确度约为 58%，可以在测试仪上进行确认。

就是这样了！ 您现在可以调整 PyTorch 模型的参数。

**脚本的总运行时间**：（14 分钟 43.400 秒）

[`Download Python source code: hyperparameter_tuning_tutorial.py`](../_downloads/95074cd7ce8c3e57a92e7a9c49182e6a/hyperparameter_tuning_tutorial.py)

[`Download Jupyter notebook: hyperparameter_tuning_tutorial.ipynb`](../_downloads/c24b93738bc036c1b66d0387555bf69a/hyperparameter_tuning_tutorial.ipynb)

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