roberta_sst5_padding0model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7599
- Accuracy: 0.5538
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2226 | 1.0 | 534 | 1.1734 | 0.4774 |
| 0.9839 | 2.0 | 1068 | 1.0370 | 0.5561 |
| 0.8147 | 3.0 | 1602 | 1.0445 | 0.5701 |
| 0.693 | 4.0 | 2136 | 1.2026 | 0.5484 |
| 0.54 | 5.0 | 2670 | 1.2741 | 0.5597 |
| 0.441 | 6.0 | 3204 | 1.5593 | 0.5367 |
| 0.3333 | 7.0 | 3738 | 1.7048 | 0.5407 |
| 0.2661 | 8.0 | 4272 | 1.9049 | 0.5548 |
| 0.2292 | 9.0 | 4806 | 2.2051 | 0.5548 |
| 0.1968 | 10.0 | 5340 | 2.3851 | 0.5507 |
| 0.1714 | 11.0 | 5874 | 2.8158 | 0.5489 |
| 0.1524 | 12.0 | 6408 | 2.9160 | 0.5471 |
| 0.1367 | 13.0 | 6942 | 3.2566 | 0.5357 |
| 0.1087 | 14.0 | 7476 | 3.3613 | 0.5525 |
| 0.0874 | 15.0 | 8010 | 3.3934 | 0.5548 |
| 0.0561 | 16.0 | 8544 | 3.5486 | 0.5584 |
| 0.0637 | 17.0 | 9078 | 3.5989 | 0.5525 |
| 0.0402 | 18.0 | 9612 | 3.7290 | 0.5548 |
| 0.036 | 19.0 | 10146 | 3.7058 | 0.5552 |
| 0.0296 | 20.0 | 10680 | 3.7599 | 0.5538 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.13.3