distilroberta-base-DoniaTrials514
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5493
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 39 | 3.2269 |
No log | 2.0 | 78 | 3.1520 |
No log | 3.0 | 117 | 3.0998 |
No log | 4.0 | 156 | 3.0586 |
No log | 5.0 | 195 | 3.0225 |
No log | 6.0 | 234 | 2.9860 |
No log | 7.0 | 273 | 2.9566 |
No log | 8.0 | 312 | 2.9297 |
No log | 9.0 | 351 | 2.9042 |
No log | 10.0 | 390 | 2.8782 |
No log | 11.0 | 429 | 2.8561 |
No log | 12.0 | 468 | 2.8347 |
3.0074 | 13.0 | 507 | 2.8161 |
3.0074 | 14.0 | 546 | 2.8003 |
3.0074 | 15.0 | 585 | 2.7840 |
3.0074 | 16.0 | 624 | 2.7666 |
3.0074 | 17.0 | 663 | 2.7532 |
3.0074 | 18.0 | 702 | 2.7404 |
3.0074 | 19.0 | 741 | 2.7270 |
3.0074 | 20.0 | 780 | 2.7158 |
3.0074 | 21.0 | 819 | 2.7039 |
3.0074 | 22.0 | 858 | 2.6945 |
3.0074 | 23.0 | 897 | 2.6824 |
3.0074 | 24.0 | 936 | 2.6743 |
3.0074 | 25.0 | 975 | 2.6640 |
2.7328 | 26.0 | 1014 | 2.6566 |
2.7328 | 27.0 | 1053 | 2.6495 |
2.7328 | 28.0 | 1092 | 2.6390 |
2.7328 | 29.0 | 1131 | 2.6308 |
2.7328 | 30.0 | 1170 | 2.6250 |
2.7328 | 31.0 | 1209 | 2.6164 |
2.7328 | 32.0 | 1248 | 2.6106 |
2.7328 | 33.0 | 1287 | 2.6037 |
2.7328 | 34.0 | 1326 | 2.5978 |
2.7328 | 35.0 | 1365 | 2.5913 |
2.7328 | 36.0 | 1404 | 2.5867 |
2.7328 | 37.0 | 1443 | 2.5820 |
2.7328 | 38.0 | 1482 | 2.5763 |
2.6263 | 39.0 | 1521 | 2.5725 |
2.6263 | 40.0 | 1560 | 2.5689 |
2.6263 | 41.0 | 1599 | 2.5636 |
2.6263 | 42.0 | 1638 | 2.5610 |
2.6263 | 43.0 | 1677 | 2.5590 |
2.6263 | 44.0 | 1716 | 2.5566 |
2.6263 | 45.0 | 1755 | 2.5549 |
2.6263 | 46.0 | 1794 | 2.5523 |
2.6263 | 47.0 | 1833 | 2.5512 |
2.6263 | 48.0 | 1872 | 2.5500 |
2.6263 | 49.0 | 1911 | 2.5496 |
2.6263 | 50.0 | 1950 | 2.5493 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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