N_roberta_sst5_padding50model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9458
- Accuracy: 0.5321
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 |
|---|---|---|---|---|
| 1.5748 | 1.0 | 534 | 1.5892 | 0.2308 |
| 1.5742 | 2.0 | 1068 | 1.5757 | 0.3023 |
| 1.4713 | 3.0 | 1602 | 1.1312 | 0.4742 |
| 1.1254 | 4.0 | 2136 | 1.1239 | 0.5267 |
| 0.9762 | 5.0 | 2670 | 1.0890 | 0.5353 |
| 0.8536 | 6.0 | 3204 | 1.1455 | 0.5425 |
| 0.7226 | 7.0 | 3738 | 1.2372 | 0.5312 |
| 0.6262 | 8.0 | 4272 | 1.3701 | 0.5380 |
| 0.5263 | 9.0 | 4806 | 1.3611 | 0.5457 |
| 0.455 | 10.0 | 5340 | 1.5596 | 0.5290 |
| 0.3977 | 11.0 | 5874 | 1.7496 | 0.5158 |
| 0.3475 | 12.0 | 6408 | 1.8187 | 0.5276 |
| 0.2946 | 13.0 | 6942 | 2.1163 | 0.5312 |
| 0.2805 | 14.0 | 7476 | 2.3352 | 0.5290 |
| 0.2319 | 15.0 | 8010 | 2.5428 | 0.5253 |
| 0.2274 | 16.0 | 8544 | 2.6192 | 0.5208 |
| 0.1894 | 17.0 | 9078 | 2.7966 | 0.5267 |
| 0.1865 | 18.0 | 9612 | 2.8428 | 0.5326 |
| 0.1706 | 19.0 | 10146 | 2.9123 | 0.5317 |
| 0.142 | 20.0 | 10680 | 2.9458 | 0.5321 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3