distilroberta-base-ep20
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2289
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: 1.9370859e-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: 0.17096
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7361 | 1.0 | 14644 | 1.5825 |
| 1.6238 | 2.0 | 29288 | 1.4802 |
| 1.559 | 3.0 | 43932 | 1.4250 |
| 1.5033 | 4.0 | 58576 | 1.3855 |
| 1.4776 | 5.0 | 73220 | 1.3575 |
| 1.4485 | 6.0 | 87864 | 1.3329 |
| 1.4208 | 7.0 | 102508 | 1.3127 |
| 1.411 | 8.0 | 117152 | 1.2991 |
| 1.395 | 9.0 | 131796 | 1.2896 |
| 1.3923 | 10.0 | 146440 | 1.2799 |
| 1.3663 | 11.0 | 161084 | 1.2719 |
| 1.3592 | 12.0 | 175728 | 1.2630 |
| 1.3518 | 13.0 | 190372 | 1.2561 |
| 1.3478 | 14.0 | 205016 | 1.2511 |
| 1.3426 | 15.0 | 219660 | 1.2466 |
| 1.3296 | 16.0 | 234304 | 1.2389 |
| 1.3231 | 17.0 | 248948 | 1.2354 |
| 1.3305 | 18.0 | 263592 | 1.2343 |
| 1.3198 | 19.0 | 278236 | 1.2330 |
| 1.3177 | 20.0 | 292880 | 1.2300 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0