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训练log

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  1. result/link.txt +1 -0
  2. result/train_output.txt +102 -0
result/link.txt ADDED
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+ https://colab.research.google.com/drive/1wCVTnNuULJkBIS5tzPu5uQY4zd-akEd4?authuser=1#scrollTo=SssPN0dpTHJX&fullscreenOutput=true
result/train_output.txt ADDED
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+ ============================================================
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+ Starting Training...
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+ ============================================================
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+ [05/13/26 07:55:00] INFO Starting training for 30 epochs trainer.py:193
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+ INFO Device: cuda, FP16: False, BF16: True trainer.py:194
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+ INFO Gradient accumulation steps: 4 trainer.py:195
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+ INFO ================================================== trainer.py:199
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+ INFO Epoch 1/30 trainer.py:200
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+ [05/13/26 07:57:11] INFO Epoch 1 - Train Loss: 8.2498 trainer.py:279
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+ Evaluating: 100%|██████████| 122/122 [17:49<00:00, 8.76s/it]
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+ [05/13/26 08:15:01] WARNING Evaluation failed during validation: references cannot be empty trainer.py:311
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+ INFO Epoch 1 - Val Loss: 7.9030 trainer.py:313
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+ [05/13/26 08:15:02] INFO Checkpoint saved: checkpoints/checkpoint_epoch_1.pt trainer.py:341
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+ [05/13/26 08:15:03] INFO New best model saved: checkpoints/best_model.pt (metric: 7.9030) trainer.py:352
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+ INFO No improvement for 1 epochs (best: 7.9030, current: 7.9030) trainer.py:398
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+ INFO ================================================== trainer.py:199
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+ INFO Epoch 2/30 trainer.py:200
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+ [05/13/26 08:17:12] INFO Epoch 2 - Train Loss: 6.6109 trainer.py:279
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+ Evaluating: 100%|██████████| 122/122 [06:10<00:00, 3.04s/it]
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+ [05/13/26 08:23:23] WARNING Evaluation failed during validation: references cannot be empty trainer.py:311
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+ INFO Epoch 2 - Val Loss: 6.9446 trainer.py:313
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+ [05/13/26 08:23:24] INFO Checkpoint saved: checkpoints/checkpoint_epoch_2.pt trainer.py:341
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+ INFO No improvement for 2 epochs (best: 7.9030, current: 6.9446) trainer.py:398
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+ INFO ================================================== trainer.py:199
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+ INFO Epoch 3/30 trainer.py:200
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+ [05/13/26 08:25:33] INFO Epoch 3 - Train Loss: 5.2802 trainer.py:279
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+ Evaluating: 100%|██████████| 122/122 [06:55<00:00, 3.40s/it]
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+ [05/13/26 08:32:29] WARNING Evaluation failed during validation: references cannot be empty trainer.py:311
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+ INFO Epoch 3 - Val Loss: 6.0977 trainer.py:313
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+ INFO Checkpoint saved: checkpoints/checkpoint_epoch_3.pt trainer.py:341
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+ INFO No improvement for 3 epochs (best: 7.9030, current: 6.0977) trainer.py:398
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+ INFO ================================================== trainer.py:199
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+ INFO Epoch 4/30 trainer.py:200
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+ Train Epoch 4: 28%|██▊ | 1687/6104 [00:35<01:30, 48.68it/s, loss=4.5668, lr=3.00e-04, step=5000][05/13/26 08:33:06] INFO Checkpoint saved: checkpoints/checkpoint_step_5000.pt trainer.py:341
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+ INFO New best model saved: checkpoints/best_model.pt (metric: inf) trainer.py:352
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+ [05/13/26 08:34:39] INFO Epoch 4 - Train Loss: 4.4749 trainer.py:279
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+ Evaluating: 100%|██████████| 122/122 [03:08<00:00, 1.55s/it]
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+ [05/13/26 08:37:49] WARNING Evaluation failed during validation: references cannot be empty trainer.py:311
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+ INFO Epoch 4 - Val Loss: 5.6509 trainer.py:313
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+ [05/13/26 08:37:50] INFO Checkpoint saved: checkpoints/checkpoint_epoch_4.pt trainer.py:341
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+ INFO No improvement for 4 epochs (best: inf, current: 5.6509) trainer.py:398
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+ INFO ================================================== trainer.py:199
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+ INFO Epoch 5/30 trainer.py:200
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+ [05/13/26 08:40:00] INFO Epoch 5 - Train Loss: 4.0513 trainer.py:279
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+ Evaluating: 100%|██████████| 122/122 [03:28<00:00, 1.71s/it]
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+ [05/13/26 08:43:29] WARNING Evaluation failed during validation: references cannot be empty trainer.py:311
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+ INFO Epoch 5 - Val Loss: 5.4433 trainer.py:313
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+ INFO Checkpoint saved: checkpoints/checkpoint_epoch_5.pt trainer.py:341
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+ INFO No improvement for 5 epochs (best: inf, current: 5.4433) trainer.py:398
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+ INFO Early stopping triggered at epoch 5 trainer.py:212
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+ INFO ================================================== trainer.py:431
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+ INFO Training completed! trainer.py:432
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+ INFO Best epoch: 4 trainer.py:433
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+ INFO Best bleu: inf trainer.py:434
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+ INFO Training summary saved to checkpoints/training_summary.json trainer.py:447
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