| | --- |
| | license: cc-by-4.0 |
| | base_model: deepset/bert-base-cased-squad2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-20 |
| | 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-20 |
| |
|
| | 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: 10.1509 |
| |
|
| | ## 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: constant |
| | - num_epochs: 4 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 11.3191 | 0.09 | 5 | 12.3262 | |
| | | 11.4409 | 0.18 | 10 | 12.2742 | |
| | | 11.0259 | 0.27 | 15 | 12.2224 | |
| | | 11.1517 | 0.36 | 20 | 12.1706 | |
| | | 11.1256 | 0.45 | 25 | 12.1189 | |
| | | 11.1448 | 0.55 | 30 | 12.0668 | |
| | | 10.4156 | 0.64 | 35 | 12.0150 | |
| | | 11.0415 | 0.73 | 40 | 11.9641 | |
| | | 10.5847 | 0.82 | 45 | 11.9123 | |
| | | 10.4663 | 0.91 | 50 | 11.8612 | |
| | | 10.2171 | 1.0 | 55 | 11.8098 | |
| | | 10.4121 | 1.09 | 60 | 11.7587 | |
| | | 10.5127 | 1.18 | 65 | 11.7082 | |
| | | 10.7149 | 1.27 | 70 | 11.6574 | |
| | | 10.2304 | 1.36 | 75 | 11.6066 | |
| | | 10.6459 | 1.45 | 80 | 11.5557 | |
| | | 10.3551 | 1.55 | 85 | 11.5044 | |
| | | 10.2838 | 1.64 | 90 | 11.4531 | |
| | | 10.0924 | 1.73 | 95 | 11.4025 | |
| | | 10.295 | 1.82 | 100 | 11.3513 | |
| | | 9.8206 | 1.91 | 105 | 11.3005 | |
| | | 10.1365 | 2.0 | 110 | 11.2498 | |
| | | 10.0496 | 2.09 | 115 | 11.1992 | |
| | | 9.8465 | 2.18 | 120 | 11.1489 | |
| | | 9.9778 | 2.27 | 125 | 11.0980 | |
| | | 10.0708 | 2.36 | 130 | 11.0471 | |
| | | 9.6465 | 2.45 | 135 | 10.9962 | |
| | | 9.9864 | 2.55 | 140 | 10.9461 | |
| | | 9.5175 | 2.64 | 145 | 10.8963 | |
| | | 9.9675 | 2.73 | 150 | 10.8461 | |
| | | 9.7013 | 2.82 | 155 | 10.7963 | |
| | | 9.6324 | 2.91 | 160 | 10.7461 | |
| | | 9.7833 | 3.0 | 165 | 10.6960 | |
| | | 9.6806 | 3.09 | 170 | 10.6461 | |
| | | 9.6208 | 3.18 | 175 | 10.5964 | |
| | | 9.3067 | 3.27 | 180 | 10.5468 | |
| | | 9.1504 | 3.36 | 185 | 10.4972 | |
| | | 9.8082 | 3.45 | 190 | 10.4474 | |
| | | 9.3738 | 3.55 | 195 | 10.3978 | |
| | | 9.1904 | 3.64 | 200 | 10.3478 | |
| | | 9.0302 | 3.73 | 205 | 10.2981 | |
| | | 8.8785 | 3.82 | 210 | 10.2490 | |
| | | 8.8765 | 3.91 | 215 | 10.1997 | |
| | | 9.3 | 4.0 | 220 | 10.1509 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
