| [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 | |
| [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) | |
| [train] ['mlm.jsonl.gz'] | |
| val epoch=1 loss=4.90121 PPL=134.45273 | |
| train epoch=1 loss=4.86353 PPL=129.48067 | |
| val epoch=1 loss=3.63718 PPL=37.98471 | |
| train epoch=1 loss=4.40872 PPL=82.16438 | |
| val epoch=1 loss=3.36813 PPL=29.02423 | |
| train epoch=1 loss=3.56357 PPL=35.28907 | |
| val epoch=1 loss=3.09257 PPL=22.03372 | |
| train epoch=1 loss=3.43388 PPL=30.99654 | |
| val epoch=1 loss=2.74062 PPL=15.49665 | |
| train epoch=1 loss=3.79245 PPL=44.36494 | |
| val epoch=1 loss=2.70695 PPL=14.98345 | |
| train epoch=1 loss=3.07763 PPL=21.70693 | |
| val epoch=1 loss=2.44397 PPL=11.51874 | |
| [auto_batch_size] 64 | |
| [batch_size] 1024 | |
| [accumulate_grad_batches] 16 | |
| [max_time] {'days': 0, 'hours': 12, 'minutes': 0} | |
| val epoch=1 loss=5.18878 PPL=179.25021 | |
| val epoch=1 loss=0.77304 PPL=2.16635 | |
| train epoch=1 loss=0.08330 PPL=1.08687 | |
| val epoch=2 loss=0.63744 PPL=1.89163 | |
| train epoch=2 loss=0.04870 PPL=1.04990 | |
| val epoch=3 loss=0.56578 PPL=1.76082 | |
| train epoch=3 loss=0.04121 PPL=1.04207 | |
| val epoch=4 loss=0.51813 PPL=1.67889 | |
| train epoch=4 loss=0.03711 PPL=1.03780 | |
| val epoch=5 loss=0.48163 PPL=1.61872 | |
| train epoch=5 loss=0.03429 PPL=1.03489 | |
| val epoch=6 loss=0.44883 PPL=1.56647 | |
| train epoch=6 loss=0.03223 PPL=1.03276 | |
| val epoch=7 loss=0.42527 PPL=1.53001 | |
| train epoch=7 loss=0.03055 PPL=1.03102 | |
| val epoch=8 loss=0.40439 PPL=1.49838 | |
| train epoch=8 loss=0.02917 PPL=1.02960 | |
| val epoch=9 loss=0.38409 PPL=1.46827 | |
| train epoch=9 loss=0.02796 PPL=1.02835 | |
| val epoch=10 loss=0.37744 PPL=1.45855 | |
| train epoch=10 loss=0.02662 PPL=1.02698 | |