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distilbert-base-cased-distilled-squad-finetuned-squad
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3012
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 66 | 2.4569 |
| No log | 2.0 | 132 | 2.3201 |
| No log | 3.0 | 198 | 2.3281 |
| No log | 4.0 | 264 | 2.3895 |
| No log | 5.0 | 330 | 2.7032 |
| No log | 6.0 | 396 | 2.9461 |
| No log | 7.0 | 462 | 3.2856 |
| 1.4273 | 8.0 | 528 | 3.4643 |
| 1.4273 | 9.0 | 594 | 3.7349 |
| 1.4273 | 10.0 | 660 | 4.1377 |
| 1.4273 | 11.0 | 726 | 4.2097 |
| 1.4273 | 12.0 | 792 | 4.3009 |
| 1.4273 | 13.0 | 858 | 4.4249 |
| 1.4273 | 14.0 | 924 | 4.5736 |
| 1.4273 | 15.0 | 990 | 4.7452 |
| 0.222 | 16.0 | 1056 | 4.8124 |
| 0.222 | 17.0 | 1122 | 4.8169 |
| 0.222 | 18.0 | 1188 | 5.1680 |
| 0.222 | 19.0 | 1254 | 5.0830 |
| 0.222 | 20.0 | 1320 | 5.1588 |
| 0.222 | 21.0 | 1386 | 5.1933 |
| 0.222 | 22.0 | 1452 | 5.2828 |
| 0.0343 | 23.0 | 1518 | 5.2054 |
| 0.0343 | 24.0 | 1584 | 5.2622 |
| 0.0343 | 25.0 | 1650 | 5.2089 |
| 0.0343 | 26.0 | 1716 | 5.2026 |
| 0.0343 | 27.0 | 1782 | 5.3382 |
| 0.0343 | 28.0 | 1848 | 5.2926 |
| 0.0343 | 29.0 | 1914 | 5.3003 |
| 0.0343 | 30.0 | 1980 | 5.3012 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
