| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: QA_BERT |
| 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. --> |
|
|
| # QA_BERT |
| |
| This model was trained from scratch on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.7595 |
| |
| ## 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: 320 |
| - eval_batch_size: 40 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 25 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 1 | 5.5075 | |
| | No log | 2.0 | 2 | 4.8600 | |
| | No log | 3.0 | 3 | 4.5288 | |
| | No log | 4.0 | 4 | 4.2908 | |
| | No log | 5.0 | 5 | 4.1877 | |
| | No log | 6.0 | 6 | 4.1192 | |
| | No log | 7.0 | 7 | 4.0090 | |
| | No log | 8.0 | 8 | 3.8800 | |
| | No log | 9.0 | 9 | 3.7745 | |
| | No log | 10.0 | 10 | 3.7043 | |
| | No log | 11.0 | 11 | 3.6591 | |
| | No log | 12.0 | 12 | 3.6300 | |
| | No log | 13.0 | 13 | 3.6148 | |
| | No log | 14.0 | 14 | 3.6134 | |
| | No log | 15.0 | 15 | 3.6236 | |
| | No log | 16.0 | 16 | 3.6432 | |
| | No log | 17.0 | 17 | 3.6669 | |
| | No log | 18.0 | 18 | 3.6900 | |
| | No log | 19.0 | 19 | 3.7081 | |
| | No log | 20.0 | 20 | 3.7238 | |
| | No log | 21.0 | 21 | 3.7352 | |
| | No log | 22.0 | 22 | 3.7451 | |
| | No log | 23.0 | 23 | 3.7520 | |
| | No log | 24.0 | 24 | 3.7569 | |
| | No log | 25.0 | 25 | 3.7595 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.14.7 |
| - Tokenizers 0.15.0 |
| |
