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distilbert-base-uncased-finetuned-squad-17
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9001
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 | 3.1226 |
| No log | 2.0 | 132 | 2.9462 |
| No log | 3.0 | 198 | 2.5605 |
| No log | 4.0 | 264 | 2.7058 |
| No log | 5.0 | 330 | 2.5132 |
| No log | 6.0 | 396 | 2.6381 |
| No log | 7.0 | 462 | 2.9053 |
| 2.0474 | 8.0 | 528 | 3.0954 |
| 2.0474 | 9.0 | 594 | 2.9889 |
| 2.0474 | 10.0 | 660 | 3.1002 |
| 2.0474 | 11.0 | 726 | 3.1546 |
| 2.0474 | 12.0 | 792 | 3.2659 |
| 2.0474 | 13.0 | 858 | 3.3862 |
| 2.0474 | 14.0 | 924 | 3.6622 |
| 2.0474 | 15.0 | 990 | 3.5243 |
| 0.4528 | 16.0 | 1056 | 3.4678 |
| 0.4528 | 17.0 | 1122 | 3.4637 |
| 0.4528 | 18.0 | 1188 | 3.7447 |
| 0.4528 | 19.0 | 1254 | 3.5467 |
| 0.4528 | 20.0 | 1320 | 3.6459 |
| 0.4528 | 21.0 | 1386 | 3.6336 |
| 0.4528 | 22.0 | 1452 | 3.7221 |
| 0.1412 | 23.0 | 1518 | 3.9210 |
| 0.1412 | 24.0 | 1584 | 3.9117 |
| 0.1412 | 25.0 | 1650 | 3.8321 |
| 0.1412 | 26.0 | 1716 | 3.8429 |
| 0.1412 | 27.0 | 1782 | 3.9275 |
| 0.1412 | 28.0 | 1848 | 3.8642 |
| 0.1412 | 29.0 | 1914 | 3.9054 |
| 0.1412 | 30.0 | 1980 | 3.9001 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
