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bert-13
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: 10.7394
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
