| | --- |
| | license: cc-by-4.0 |
| | base_model: deepset/bert-base-cased-squad2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-24.1 |
| | 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-24.1 |
| |
|
| | 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: 11.5138 |
| |
|
| | ## 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: 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 11.3192 | 0.09 | 5 | 12.3266 | |
| | | 11.4418 | 0.18 | 10 | 12.2766 | |
| | | 11.029 | 0.27 | 15 | 12.2278 | |
| | | 11.1589 | 0.36 | 20 | 12.1813 | |
| | | 11.1385 | 0.45 | 25 | 12.1361 | |
| | | 11.1645 | 0.55 | 30 | 12.0921 | |
| | | 10.4417 | 0.64 | 35 | 12.0500 | |
| | | 11.0789 | 0.73 | 40 | 12.0100 | |
| | | 10.6311 | 0.82 | 45 | 11.9712 | |
| | | 10.5261 | 0.91 | 50 | 11.9340 | |
| | | 10.2874 | 1.0 | 55 | 11.8991 | |
| | | 10.5003 | 1.09 | 60 | 11.8652 | |
| | | 10.6206 | 1.18 | 65 | 11.8330 | |
| | | 10.8413 | 1.27 | 70 | 11.8025 | |
| | | 10.3731 | 1.36 | 75 | 11.7735 | |
| | | 10.8143 | 1.45 | 80 | 11.7455 | |
| | | 10.5414 | 1.55 | 85 | 11.7199 | |
| | | 10.4919 | 1.64 | 90 | 11.6950 | |
| | | 10.3187 | 1.73 | 95 | 11.6721 | |
| | | 10.5598 | 1.82 | 100 | 11.6508 | |
| | | 10.1028 | 1.91 | 105 | 11.6310 | |
| | | 10.4634 | 2.0 | 110 | 11.6125 | |
| | | 10.3986 | 2.09 | 115 | 11.5958 | |
| | | 10.2164 | 2.18 | 120 | 11.5810 | |
| | | 10.3932 | 2.27 | 125 | 11.5674 | |
| | | 10.5229 | 2.36 | 130 | 11.5549 | |
| | | 10.1181 | 2.45 | 135 | 11.5444 | |
| | | 10.5176 | 2.55 | 140 | 11.5354 | |
| | | 10.0784 | 2.64 | 145 | 11.5279 | |
| | | 10.599 | 2.73 | 150 | 11.5223 | |
| | | 10.3577 | 2.82 | 155 | 11.5180 | |
| | | 10.3107 | 2.91 | 160 | 11.5150 | |
| | | 10.5243 | 3.0 | 165 | 11.5138 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
