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test-squad-trained-finetuned-squad
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2664
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 | 2.4187 |
| No log | 2.0 | 132 | 2.3020 |
| No log | 3.0 | 198 | 2.4014 |
| No log | 4.0 | 264 | 2.5213 |
| No log | 5.0 | 330 | 2.7928 |
| No log | 6.0 | 396 | 3.1862 |
| No log | 7.0 | 462 | 3.1437 |
| 1.3062 | 8.0 | 528 | 3.2478 |
| 1.3062 | 9.0 | 594 | 3.7376 |
| 1.3062 | 10.0 | 660 | 3.7805 |
| 1.3062 | 11.0 | 726 | 3.6563 |
| 1.3062 | 12.0 | 792 | 3.6557 |
| 1.3062 | 13.0 | 858 | 3.8273 |
| 1.3062 | 14.0 | 924 | 4.0578 |
| 1.3062 | 15.0 | 990 | 4.2134 |
| 0.2279 | 16.0 | 1056 | 4.2674 |
| 0.2279 | 17.0 | 1122 | 4.2048 |
| 0.2279 | 18.0 | 1188 | 4.2624 |
| 0.2279 | 19.0 | 1254 | 4.0354 |
| 0.2279 | 20.0 | 1320 | 4.1319 |
| 0.2279 | 21.0 | 1386 | 4.2822 |
| 0.2279 | 22.0 | 1452 | 4.2211 |
| 0.0391 | 23.0 | 1518 | 4.2493 |
| 0.0391 | 24.0 | 1584 | 4.2390 |
| 0.0391 | 25.0 | 1650 | 4.3021 |
| 0.0391 | 26.0 | 1716 | 4.2845 |
| 0.0391 | 27.0 | 1782 | 4.3859 |
| 0.0391 | 28.0 | 1848 | 4.2363 |
| 0.0391 | 29.0 | 1914 | 4.2458 |
| 0.0391 | 30.0 | 1980 | 4.2664 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
