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[script] /home/acc12952oa/cuda11_6/work/bin/t5train --model_path=t5je --output_path=t5je_mlm2 --max_hours=12 --batch_size=1024 --solver=adafactor --float32_matmul_precision=medium mlm.jsonl.gz |
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[hparams] Namespace(adam_epsilon=1e-08, batch_size=1024, checkpoint_path=None, early_stopping=False, fast_dev_run=False, files=['mlm.jsonl.gz'], float32_matmul_precision='medium', gradient_accumulation_steps=1, learning_rate=0.0003, max_epochs=10, max_grad_norm=1.0, max_hours=12.0, max_length=128, model_path='t5je', n_gpus=1, num_workers=4, output_path='t5je_mlm2', seed=42, solver='adafactor', source_max_length=128, step_batch_size=0, target_max_length=128, tokenizer_path='t5je', warmup_steps=1, weight_decay=0.0) |
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[train] ['mlm.jsonl.gz'] |
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val epoch=1 loss=4.90121 PPL=134.45273 |
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train epoch=1 loss=4.86353 PPL=129.48067 |
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val epoch=1 loss=3.63718 PPL=37.98471 |
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train epoch=1 loss=4.40872 PPL=82.16438 |
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val epoch=1 loss=3.36813 PPL=29.02423 |
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train epoch=1 loss=3.56357 PPL=35.28907 |
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val epoch=1 loss=3.09257 PPL=22.03372 |
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train epoch=1 loss=3.43388 PPL=30.99654 |
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val epoch=1 loss=2.74062 PPL=15.49665 |
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train epoch=1 loss=3.79245 PPL=44.36494 |
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val epoch=1 loss=2.70695 PPL=14.98345 |
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train epoch=1 loss=3.07763 PPL=21.70693 |
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val epoch=1 loss=2.44397 PPL=11.51874 |
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[auto_batch_size] 64 |
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[batch_size] 1024 |
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[accumulate_grad_batches] 16 |
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[max_time] {'days': 0, 'hours': 12, 'minutes': 0} |
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val epoch=1 loss=5.18878 PPL=179.25021 |
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val epoch=1 loss=0.77304 PPL=2.16635 |
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train epoch=1 loss=0.08330 PPL=1.08687 |
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val epoch=2 loss=0.63744 PPL=1.89163 |
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train epoch=2 loss=0.04870 PPL=1.04990 |
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val epoch=3 loss=0.56578 PPL=1.76082 |
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train epoch=3 loss=0.04121 PPL=1.04207 |
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val epoch=4 loss=0.51813 PPL=1.67889 |
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train epoch=4 loss=0.03711 PPL=1.03780 |
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val epoch=5 loss=0.48163 PPL=1.61872 |
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train epoch=5 loss=0.03429 PPL=1.03489 |
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val epoch=6 loss=0.44883 PPL=1.56647 |
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train epoch=6 loss=0.03223 PPL=1.03276 |
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val epoch=7 loss=0.42527 PPL=1.53001 |
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train epoch=7 loss=0.03055 PPL=1.03102 |
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val epoch=8 loss=0.40439 PPL=1.49838 |
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train epoch=8 loss=0.02917 PPL=1.02960 |
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val epoch=9 loss=0.38409 PPL=1.46827 |
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train epoch=9 loss=0.02796 PPL=1.02835 |
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val epoch=10 loss=0.37744 PPL=1.45855 |
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train epoch=10 loss=0.02662 PPL=1.02698 |
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