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wandb: wandb version 0.15.0 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.14.2
wandb: Run data is saved locally in /home/yecm/public/Multitask-Recommendation-Library/wandb/run-20230424_214036-wbjtq6lh
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run MMoE_Synthetic
wandb: ⭐️ View project at https://wandb.ai/open-book/Multitask-Recommendation
wandb: 🚀 View run at https://wandb.ai/open-book/Multitask-Recommendation/runs/wbjtq6lh
[34m[1mparameters: [0mdataset_name=MMoE_Synthetic, dataset_path=./data/, model_name=sharedbottom, expert_num=8, embed_dim=128, weights=None, categorical_loss=MSELoss, numeric_loss=None, optimizer_name=Adam, lr=0.001, weight_decay=1e-06, do_balance=True, balancer_name=CorrBalance, corr_factor=[1, 0.9], just_test_can_run=False, device_num=0, save_dir=runs/corr_test, save_epoch=4, max_epochs=50, batch_size=2048, patience=10, min_delta=0, cumulative_delta=False
[34m[1m训练设备[0m: cuda:0。
[34m[1m数据集[0m: 开始加载MMoE_Synthetic:
[34m[1m数据集[0m: 加载成功。
[34m[1m模型[0m: 开始加载sharedbottom:
/home/yecm/.conda/envs/torch/lib/python3.11/site-packages/torch/jit/_trace.py:1056: TracerWarning: Encountering a list at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior.
module._c._create_method_from_trace(
[34m[1m模型[0m: 加载成功。
[34m[1m损失函数[0m: 加载完成：MSELoss()。
[34m[1m优化器[0m: 加载完成，当前为平衡模式。
[34m[1m实验管理[0m: 数据集MMoE_Synthetic新增实验16。
Model: Shared-Bottom
SharedBottomModel(
(embedding): EmbeddingLayer(
(embedding): Embedding(0, 128)
)
(numerical_layer): Linear(in_features=50, out_features=128, bias=True)
(bottom): MultiLayerPerceptron(
(mlp): Sequential(
(0): Linear(in_features=128, out_features=512, bias=True)
(1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Dropout(p=0.2, inplace=False)
(4): Linear(in_features=512, out_features=256, bias=True)
(5): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(6): ReLU()
(7): Dropout(p=0.2, inplace=False)
)
)
(tower): ModuleList(
(0-1): 2 x MultiLayerPerceptron(
(mlp): Sequential(
(0): Linear(in_features=256, out_features=128, bias=True)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Dropout(p=0.2, inplace=False)
(4): Linear(in_features=128, out_features=64, bias=True)
(5): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(6): ReLU()
(7): Dropout(p=0.2, inplace=False)
(8): Linear(in_features=64, out_features=1, bias=True)
)
)
)
)
ClearML Task: created new task id=b08e675a69a94008af7b1d3a93e5ddb8
[34m[1m训练[0m: 终于可以开始啦!
ClearML results page: https://app.clear.ml/projects/9c3342c69e80438b9f5ec86ef7527bcc/experiments/b08e675a69a94008af7b1d3a93e5ddb8/output/log
0%| | 0/1 [00:00<?, ?it/s]100%|██████████| 1/1 [00:01<00:00, 1.57s/it]100%|██████████| 1/1 [00:01<00:00, 1.79s/it]
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_16/sharedbottom_0.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_16/sharedbottom_4.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_16/sharedbottom_8.pt
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Early Stopper在10轮都没有改进后丧失了耐心，训练即将结束。
历史最佳 0 在第 -1 轮达到。
wandb: Waiting for W&B process to finish... (success).
wandb:
wandb: Run history:
wandb: avg_loss ███▇▇▆▅▄▃▁
wandb: avg_sco ▁▁▁▂▂▃▄▅▆█
wandb: epoch ▁▁▂▂▃▃▃▃▄▄▅▅▆▆▆▆▇▇██
wandb: loss0 ███▇▇▆▅▄▃▁
wandb: loss1 ███▇▇▆▅▄▃▁
wandb: score0 ▁▁▁▂▂▃▄▅▆█
wandb: score1 ▁▁▁▂▂▃▄▅▆█
wandb:
wandb: Run summary:
wandb: avg_loss 0.96234
wandb: avg_sco -0.00494
wandb: epoch 9
wandb: loss0 0.93902
wandb: loss1 0.98566
wandb: score0 0.01167
wandb: score1 -0.02155
wandb:
wandb: 🚀 View run MMoE_Synthetic at: https://wandb.ai/open-book/Multitask-Recommendation/runs/wbjtq6lh
wandb: Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20230424_214036-wbjtq6lh/logs
wandb: Currently logged in as: 2603119857 (open-book). Use `wandb login --relogin` to force relogin
wandb: wandb version 0.15.0 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.14.2
wandb: Run data is saved locally in /home/yecm/public/Multitask-Recommendation-Library/wandb/run-20230424_214620-zhinlz80
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run MMoE_Synthetic
wandb: ⭐️ View project at https://wandb.ai/open-book/Multitask-Recommendation
wandb: 🚀 View run at https://wandb.ai/open-book/Multitask-Recommendation/runs/zhinlz80
[34m[1mparameters: [0mdataset_name=MMoE_Synthetic, dataset_path=./data/, model_name=sharedbottom, expert_num=8, embed_dim=128, weights=None, categorical_loss=MSELoss, numeric_loss=None, optimizer_name=Adam, lr=0.001, weight_decay=1e-06, do_balance=True, balancer_name=CorrBalance, corr_factor=[1, 0.9], just_test_can_run=False, device_num=0, save_dir=runs/corr_test, save_epoch=4, max_epochs=50, batch_size=2048, patience=10, min_delta=0, cumulative_delta=False
[34m[1m训练设备[0m: cuda:0。
[34m[1m数据集[0m: 开始加载MMoE_Synthetic:
[34m[1m数据集[0m: 加载成功。
[34m[1m模型[0m: 开始加载sharedbottom:
/home/yecm/.conda/envs/torch/lib/python3.11/site-packages/torch/jit/_trace.py:1056: TracerWarning: Encountering a list at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior.
module._c._create_method_from_trace(
[34m[1m模型[0m: 加载成功。
[34m[1m损失函数[0m: 加载完成：MSELoss()。
[34m[1m优化器[0m: 加载完成，当前为平衡模式。
[34m[1m实验管理[0m: 数据集MMoE_Synthetic新增实验17。
Model: Shared-Bottom
SharedBottomModel(
(embedding): EmbeddingLayer(
(embedding): Embedding(0, 128)
)
(numerical_layer): Linear(in_features=50, out_features=128, bias=True)
(bottom): MultiLayerPerceptron(
(mlp): Sequential(
(0): Linear(in_features=128, out_features=512, bias=True)
(1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Dropout(p=0.2, inplace=False)
(4): Linear(in_features=512, out_features=256, bias=True)
(5): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(6): ReLU()
(7): Dropout(p=0.2, inplace=False)
)
)
(tower): ModuleList(
(0-1): 2 x MultiLayerPerceptron(
(mlp): Sequential(
(0): Linear(in_features=256, out_features=128, bias=True)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Dropout(p=0.2, inplace=False)
(4): Linear(in_features=128, out_features=64, bias=True)
(5): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(6): ReLU()
(7): Dropout(p=0.2, inplace=False)
(8): Linear(in_features=64, out_features=1, bias=True)
)
)
)
)
ClearML Task: created new task id=51901ba9ce9e4e7f992b911b9edbdb30
[34m[1m训练[0m: 终于可以开始啦!
ClearML results page: https://app.clear.ml/projects/9c3342c69e80438b9f5ec86ef7527bcc/experiments/51901ba9ce9e4e7f992b911b9edbdb30/output/log
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_0.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_4.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_8.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_12.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_16.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_20.pt
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latest model saved to /home/yecm/public/Multitask-Recommendation-Library/runs/corr_test/exp_17/sharedbottom_24.pt
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历史最佳 0.4257899673473211 在第 49 轮达到。
wandb: Waiting for W&B process to finish... (success).
wandb:
wandb: Run history:
wandb: avg_loss ████▇▇▇▆▅▅▄▄▃▃▃▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: avg_sco ▁▁▁▁▂▂▂▃▄▄▅▅▆▆▆▇▇▇▇▇▇▇██████████████████
wandb: epoch ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
wandb: loss0 ████▇▇▇▆▅▅▄▄▃▃▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: loss1 ████▇▇▇▆▅▅▄▄▃▃▃▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: score0 ▁▁▁▁▂▂▂▃▄▄▅▅▆▆▇▇▇▇▇▇▇▇██████████████████
wandb: score1 ▁▁▁▁▂▂▂▃▄▄▅▅▆▆▆▇▇▇▇▇▇▇▇█████████████████
wandb:
wandb: Run summary:
wandb: avg_loss 0.54986
wandb: avg_sco 0.42579
wandb: epoch 49
wandb: loss0 0.53799
wandb: loss1 0.56172
wandb: score0 0.43376
wandb: score1 0.41782
wandb:
wandb: 🚀 View run MMoE_Synthetic at: https://wandb.ai/open-book/Multitask-Recommendation/runs/zhinlz80
wandb: Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20230424_214620-zhinlz80/logs