roberta_sst5_padding30model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7712
- Accuracy: 0.5674
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 |
|---|---|---|---|---|
| 1.2819 | 1.0 | 534 | 1.1781 | 0.4683 |
| 1.0082 | 2.0 | 1068 | 0.9981 | 0.5715 |
| 0.8514 | 3.0 | 1602 | 1.0001 | 0.5715 |
| 0.7126 | 4.0 | 2136 | 1.1284 | 0.5665 |
| 0.582 | 5.0 | 2670 | 1.3241 | 0.5462 |
| 0.4655 | 6.0 | 3204 | 1.4761 | 0.5466 |
| 0.3524 | 7.0 | 3738 | 1.6291 | 0.5457 |
| 0.2865 | 8.0 | 4272 | 1.9088 | 0.5335 |
| 0.2393 | 9.0 | 4806 | 2.0502 | 0.5538 |
| 0.2127 | 10.0 | 5340 | 2.3658 | 0.5516 |
| 0.1828 | 11.0 | 5874 | 2.9156 | 0.5493 |
| 0.1483 | 12.0 | 6408 | 2.9242 | 0.5566 |
| 0.1433 | 13.0 | 6942 | 3.2224 | 0.5362 |
| 0.1184 | 14.0 | 7476 | 3.3634 | 0.5502 |
| 0.1026 | 15.0 | 8010 | 3.4638 | 0.5602 |
| 0.0826 | 16.0 | 8544 | 3.5596 | 0.5511 |
| 0.0571 | 17.0 | 9078 | 3.5359 | 0.5710 |
| 0.0416 | 18.0 | 9612 | 3.7094 | 0.5579 |
| 0.0345 | 19.0 | 10146 | 3.7244 | 0.5674 |
| 0.0297 | 20.0 | 10680 | 3.7712 | 0.5674 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.13.3