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bert-19
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: 11.2343
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.3192 | 0.09 | 5 | 12.3265 |
| 11.4416 | 0.18 | 10 | 12.2762 |
| 11.0285 | 0.27 | 15 | 12.2265 |
| 11.1568 | 0.36 | 20 | 12.1786 |
| 11.1352 | 0.45 | 25 | 12.1313 |
| 11.1596 | 0.55 | 30 | 12.0857 |
| 10.4352 | 0.64 | 35 | 12.0412 |
| 11.0699 | 0.73 | 40 | 11.9982 |
| 10.6195 | 0.82 | 45 | 11.9567 |
| 10.5109 | 0.91 | 50 | 11.9161 |
| 10.2699 | 1.0 | 55 | 11.8766 |
| 10.4784 | 1.09 | 60 | 11.8384 |
| 10.5932 | 1.18 | 65 | 11.8018 |
| 10.8098 | 1.27 | 70 | 11.7661 |
| 10.3369 | 1.36 | 75 | 11.7312 |
| 10.7722 | 1.45 | 80 | 11.6981 |
| 10.4952 | 1.55 | 85 | 11.6657 |
| 10.4398 | 1.64 | 90 | 11.6341 |
| 10.2621 | 1.73 | 95 | 11.6045 |
| 10.4932 | 1.82 | 100 | 11.5753 |
| 10.0321 | 1.91 | 105 | 11.5481 |
| 10.3808 | 2.0 | 110 | 11.5216 |
| 10.3108 | 2.09 | 115 | 11.4966 |
| 10.1234 | 2.18 | 120 | 11.4725 |
| 10.2887 | 2.27 | 125 | 11.4492 |
| 10.4092 | 2.36 | 130 | 11.4274 |
| 9.9991 | 2.45 | 135 | 11.4068 |
| 10.3832 | 2.55 | 140 | 11.3872 |
| 9.937 | 2.64 | 145 | 11.3692 |
| 10.4397 | 2.73 | 150 | 11.3521 |
| 10.1919 | 2.82 | 155 | 11.3364 |
| 10.1394 | 2.91 | 160 | 11.3214 |
| 10.3371 | 3.0 | 165 | 11.3080 |
| 10.2649 | 3.09 | 170 | 11.2953 |
| 10.2511 | 3.18 | 175 | 11.2844 |
| 9.9485 | 3.27 | 180 | 11.2741 |
| 9.8203 | 3.36 | 185 | 11.2649 |
| 10.559 | 3.45 | 190 | 11.2574 |
| 10.1233 | 3.55 | 195 | 11.2504 |
| 9.9711 | 3.64 | 200 | 11.2451 |
| 9.8388 | 3.73 | 205 | 11.2407 |
| 9.7467 | 3.82 | 210 | 11.2373 |
| 9.7465 | 3.91 | 215 | 11.2350 |
| 10.3259 | 4.0 | 220 | 11.2343 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
