distilroberta-pr200k-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: 1.0749
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8844 | 1.0 | 5480 | 1.6711 |
| 1.6262 | 2.0 | 10960 | 1.4794 |
| 1.5005 | 3.0 | 16440 | 1.3796 |
| 1.4432 | 4.0 | 21920 | 1.3313 |
| 1.3904 | 5.0 | 27400 | 1.2843 |
| 1.3378 | 6.0 | 32880 | 1.2441 |
| 1.3057 | 7.0 | 38360 | 1.2149 |
| 1.2781 | 8.0 | 43840 | 1.1927 |
| 1.2497 | 9.0 | 49320 | 1.1780 |
| 1.2219 | 10.0 | 54800 | 1.1626 |
| 1.2068 | 11.0 | 60280 | 1.1500 |
| 1.1832 | 12.0 | 65760 | 1.1368 |
| 1.1789 | 13.0 | 71240 | 1.1230 |
| 1.1571 | 14.0 | 76720 | 1.1135 |
| 1.1439 | 15.0 | 82200 | 1.1020 |
| 1.1419 | 16.0 | 87680 | 1.0954 |
| 1.1247 | 17.0 | 93160 | 1.0893 |
| 1.1159 | 18.0 | 98640 | 1.0806 |
| 1.1119 | 19.0 | 104120 | 1.0776 |
| 1.0978 | 20.0 | 109600 | 1.0740 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3