bert-base-finetuned-jd / train_log.txt
root@autodl-container-32ce119752-f4e7b2aa
model submit
0a53ec9
Writing logs to ./outputs/2024-04-29-22-36-28-742223/train_log.txt.
Wrote original training args to ./outputs/2024-04-29-22-36-28-742223/training_args.json.
***** Running training *****
Num examples = 4800
Num epochs = 3
Num clean epochs = 3
Instantaneous batch size per device = 8
Total train batch size (w. parallel, distributed & accumulation) = 8
Gradient accumulation steps = 1
Total optimization steps = 1800
==========================================================
Epoch 1
Running clean epoch 1/3
Train accuracy: 88.60%
Eval accuracy: 94.27%
Best score found. Saved model to ./outputs/2024-04-29-22-36-28-742223/best_model/
==========================================================
Epoch 2
Running clean epoch 2/3
Train accuracy: 95.29%
Eval accuracy: 95.37%
Best score found. Saved model to ./outputs/2024-04-29-22-36-28-742223/best_model/
==========================================================
Epoch 3
Running clean epoch 3/3
Train accuracy: 98.08%
Eval accuracy: 95.27%
Wrote README to ./outputs/2024-04-29-22-36-28-742223/README.md.