distilroberta-base-rbm213k-ep40
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2136
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: 7.3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.19
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7375 | 1.0 | 13587 | 1.5878 |
| 1.6433 | 2.0 | 27174 | 1.5049 |
| 1.5936 | 3.0 | 40761 | 1.4690 |
| 1.5591 | 4.0 | 54348 | 1.4469 |
| 1.5452 | 5.0 | 67935 | 1.4324 |
| 1.5378 | 6.0 | 81522 | 1.4267 |
| 1.5333 | 7.0 | 95109 | 1.4279 |
| 1.5248 | 8.0 | 108696 | 1.4250 |
| 1.5095 | 9.0 | 122283 | 1.4120 |
| 1.4906 | 10.0 | 135870 | 1.3937 |
| 1.4746 | 11.0 | 149457 | 1.3860 |
| 1.4565 | 12.0 | 163044 | 1.3730 |
| 1.4377 | 13.0 | 176631 | 1.3672 |
| 1.4222 | 14.0 | 190218 | 1.3581 |
| 1.415 | 15.0 | 203805 | 1.3501 |
| 1.4148 | 16.0 | 217392 | 1.3422 |
| 1.404 | 17.0 | 230979 | 1.3356 |
| 1.3925 | 18.0 | 244566 | 1.3296 |
| 1.3782 | 19.0 | 258153 | 1.3207 |
| 1.3655 | 20.0 | 271740 | 1.3185 |
| 1.3628 | 21.0 | 285327 | 1.3109 |
| 1.355 | 22.0 | 298914 | 1.3046 |
| 1.3455 | 23.0 | 312501 | 1.2985 |
| 1.3365 | 24.0 | 326088 | 1.2900 |
| 1.3279 | 25.0 | 339675 | 1.2858 |
| 1.321 | 26.0 | 353262 | 1.2811 |
| 1.3198 | 27.0 | 366849 | 1.2746 |
| 1.3042 | 28.0 | 380436 | 1.2682 |
| 1.3057 | 29.0 | 394023 | 1.2641 |
| 1.2885 | 30.0 | 407610 | 1.2584 |
| 1.2841 | 31.0 | 421197 | 1.2507 |
| 1.2776 | 32.0 | 434784 | 1.2443 |
| 1.2688 | 33.0 | 448371 | 1.2415 |
| 1.2658 | 34.0 | 461958 | 1.2344 |
| 1.2606 | 35.0 | 475545 | 1.2315 |
| 1.2445 | 36.0 | 489132 | 1.2258 |
| 1.2409 | 37.0 | 502719 | 1.2211 |
| 1.2478 | 38.0 | 516306 | 1.2187 |
| 1.236 | 39.0 | 529893 | 1.2138 |
| 1.2277 | 40.0 | 543480 | 1.2124 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0