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bert-20
This model is a fine-tuned version of 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
