| --- |
| license: cc-by-4.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: questionAnswer3 |
| 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. --> |
|
|
| # questionAnswer3 |
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| This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.9120 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 0.002 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.7468 | 1.0 | 3 | 3.9120 | |
| | 4.019 | 2.0 | 6 | 3.9120 | |
| | 3.9218 | 3.0 | 9 | 3.9120 | |
| | 3.9304 | 4.0 | 12 | 3.9120 | |
| | 3.9305 | 5.0 | 15 | 3.9120 | |
| | 3.9224 | 6.0 | 18 | 3.9120 | |
| | 3.9035 | 7.0 | 21 | 3.9120 | |
| | 3.954 | 8.0 | 24 | 3.9120 | |
| | 3.918 | 9.0 | 27 | 3.9120 | |
| | 3.9013 | 10.0 | 30 | 3.9120 | |
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| ### Framework versions |
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| - Transformers 4.26.1 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.10.0 |
| - Tokenizers 0.13.2 |
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