| | --- |
| | license: cc-by-4.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: roberta-base-squad2 |
| | 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. --> |
| |
|
| | # roberta-base-squad2 |
| |
|
| | This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.2222 |
| |
|
| | ## 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: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.725 | 1.0 | 677 | 2.7673 | |
| | | 0.4414 | 2.0 | 1354 | 2.1589 | |
| | | 0.3715 | 3.0 | 2031 | 2.2147 | |
| | | 0.3109 | 4.0 | 2708 | 3.2084 | |
| | | 0.2819 | 5.0 | 3385 | 3.0344 | |
| | | 0.2256 | 6.0 | 4062 | 2.7600 | |
| | | 0.1817 | 7.0 | 4739 | 3.2809 | |
| | | 0.1815 | 8.0 | 5416 | 3.1657 | |
| | | 0.1357 | 9.0 | 6093 | 3.1151 | |
| | | 0.1443 | 10.0 | 6770 | 3.2222 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
