| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert_large_subjqa_model_v3 |
| | 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_v3 |
| |
|
| | 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: 8.8423 |
| |
|
| | ## 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 | 2.3971 | |
| | | 2.5672 | 2.0 | 820 | 2.7380 | |
| | | 1.6385 | 3.0 | 1230 | 3.1387 | |
| | | 0.8467 | 4.0 | 1640 | 4.0478 | |
| | | 0.4177 | 5.0 | 2050 | 4.9824 | |
| | | 0.4177 | 6.0 | 2460 | 5.5992 | |
| | | 0.2208 | 7.0 | 2870 | 6.2417 | |
| | | 0.1469 | 8.0 | 3280 | 7.1139 | |
| | | 0.0966 | 9.0 | 3690 | 8.0166 | |
| | | 0.0746 | 10.0 | 4100 | 7.7937 | |
| | | 0.0589 | 11.0 | 4510 | 7.8738 | |
| | | 0.0589 | 12.0 | 4920 | 8.3362 | |
| | | 0.0439 | 13.0 | 5330 | 8.6546 | |
| | | 0.0388 | 14.0 | 5740 | 8.8050 | |
| | | 0.029 | 15.0 | 6150 | 8.8423 | |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 1.13.0a0+d321be6 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
