| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert_large_subjqa_model_v4 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # bert_large_subjqa_model_v4 |
| |
|
| | This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 13.7958 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 15 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 410 | 11.2497 | |
| | | 0.1447 | 2.0 | 820 | 10.3669 | |
| | | 0.1913 | 3.0 | 1230 | 11.5822 | |
| | | 0.1439 | 4.0 | 1640 | 11.7240 | |
| | | 0.0995 | 5.0 | 2050 | 11.5282 | |
| | | 0.0995 | 6.0 | 2460 | 11.7716 | |
| | | 0.1058 | 7.0 | 2870 | 13.3381 | |
| | | 0.0709 | 8.0 | 3280 | 12.5043 | |
| | | 0.0529 | 9.0 | 3690 | 12.8842 | |
| | | 0.0441 | 10.0 | 4100 | 12.8577 | |
| | | 0.0378 | 11.0 | 4510 | 13.0998 | |
| | | 0.0378 | 12.0 | 4920 | 13.8685 | |
| | | 0.0429 | 13.0 | 5330 | 13.8242 | |
| | | 0.0333 | 14.0 | 5740 | 13.8526 | |
| | | 0.0331 | 15.0 | 6150 | 13.7958 | |
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|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 1.13.0a0+d321be6 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
