| | --- |
| | license: cc-by-4.0 |
| | base_model: deepset/bert-base-cased-squad2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-13 |
| | 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-13 |
| |
|
| | 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: 10.7394 |
| |
|
| | ## 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-07 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 11.3227 | 0.09 | 5 | 12.3300 | |
| | | 11.424 | 0.18 | 10 | 12.2357 | |
| | | 10.9635 | 0.27 | 15 | 12.1466 | |
| | | 11.0405 | 0.36 | 20 | 12.0590 | |
| | | 10.9641 | 0.45 | 25 | 11.9722 | |
| | | 10.9497 | 0.55 | 30 | 11.8886 | |
| | | 10.1742 | 0.64 | 35 | 11.8071 | |
| | | 10.8066 | 0.73 | 40 | 11.7293 | |
| | | 10.2595 | 0.82 | 45 | 11.6547 | |
| | | 10.1445 | 0.91 | 50 | 11.5820 | |
| | | 9.8379 | 1.0 | 55 | 11.5138 | |
| | | 10.0327 | 1.09 | 60 | 11.4487 | |
| | | 10.1503 | 1.18 | 65 | 11.3867 | |
| | | 10.3143 | 1.27 | 70 | 11.3276 | |
| | | 9.7859 | 1.36 | 75 | 11.2704 | |
| | | 10.2077 | 1.45 | 80 | 11.2162 | |
| | | 9.9116 | 1.55 | 85 | 11.1643 | |
| | | 9.8015 | 1.64 | 90 | 11.1145 | |
| | | 9.5877 | 1.73 | 95 | 11.0686 | |
| | | 9.9183 | 1.82 | 100 | 11.0239 | |
| | | 9.4468 | 1.91 | 105 | 10.9848 | |
| | | 9.7489 | 2.0 | 110 | 10.9489 | |
| | | 9.5956 | 2.09 | 115 | 10.9143 | |
| | | 9.4762 | 2.18 | 120 | 10.8835 | |
| | | 9.5775 | 2.27 | 125 | 10.8555 | |
| | | 9.6383 | 2.36 | 130 | 10.8300 | |
| | | 9.2386 | 2.45 | 135 | 10.8071 | |
| | | 9.6892 | 2.55 | 140 | 10.7877 | |
| | | 9.2103 | 2.64 | 145 | 10.7721 | |
| | | 9.774 | 2.73 | 150 | 10.7594 | |
| | | 9.5202 | 2.82 | 155 | 10.7501 | |
| | | 9.4542 | 2.91 | 160 | 10.7430 | |
| | | 9.6628 | 3.0 | 165 | 10.7394 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
