| --- |
| license: cc-by-4.0 |
| base_model: deepset/bert-base-cased-squad2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bert-16 |
| 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-16 |
|
|
| This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 10.2625 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 11.3013 | 0.09 | 5 | 12.2645 | |
| | 11.351 | 0.18 | 10 | 12.1394 | |
| | 10.8708 | 0.27 | 15 | 12.0185 | |
| | 10.9286 | 0.36 | 20 | 11.9023 | |
| | 10.8502 | 0.45 | 25 | 11.7895 | |
| | 10.806 | 0.55 | 30 | 11.6807 | |
| | 10.0507 | 0.64 | 35 | 11.5771 | |
| | 10.6057 | 0.73 | 40 | 11.4770 | |
| | 10.1224 | 0.82 | 45 | 11.3818 | |
| | 9.9648 | 0.91 | 50 | 11.2900 | |
| | 9.7027 | 1.0 | 55 | 11.2029 | |
| | 9.8434 | 1.09 | 60 | 11.1193 | |
| | 9.8999 | 1.18 | 65 | 11.0406 | |
| | 10.0717 | 1.27 | 70 | 10.9654 | |
| | 9.5874 | 1.36 | 75 | 10.8939 | |
| | 9.9629 | 1.45 | 80 | 10.8264 | |
| | 9.6759 | 1.55 | 85 | 10.7628 | |
| | 9.6001 | 1.64 | 90 | 10.7023 | |
| | 9.4276 | 1.73 | 95 | 10.6462 | |
| | 9.5867 | 1.82 | 100 | 10.5940 | |
| | 9.1448 | 1.91 | 105 | 10.5456 | |
| | 9.4274 | 2.0 | 110 | 10.5012 | |
| | 9.3621 | 2.09 | 115 | 10.4610 | |
| | 9.1924 | 2.18 | 120 | 10.4240 | |
| | 9.318 | 2.27 | 125 | 10.3911 | |
| | 9.4253 | 2.36 | 130 | 10.3618 | |
| | 9.0476 | 2.45 | 135 | 10.3361 | |
| | 9.3817 | 2.55 | 140 | 10.3147 | |
| | 8.9517 | 2.64 | 145 | 10.2968 | |
| | 9.4026 | 2.73 | 150 | 10.2828 | |
| | 9.1891 | 2.82 | 155 | 10.2723 | |
| | 9.1735 | 2.91 | 160 | 10.2654 | |
| | 9.3527 | 3.0 | 165 | 10.2625 | |
|
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|
| ### Framework versions |
|
|
| - Transformers 4.34.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
|
|
