N_roberta_agnews_padding70model
This model is a fine-tuned version of roberta-base on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.5754
- Accuracy: 0.9466
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 |
|---|---|---|---|---|
| 0.201 | 1.0 | 7500 | 0.2029 | 0.9421 |
| 0.168 | 2.0 | 15000 | 0.2082 | 0.945 |
| 0.1533 | 3.0 | 22500 | 0.2343 | 0.9432 |
| 0.1208 | 4.0 | 30000 | 0.2381 | 0.9466 |
| 0.1071 | 5.0 | 37500 | 0.2468 | 0.9464 |
| 0.0831 | 6.0 | 45000 | 0.2775 | 0.9438 |
| 0.0758 | 7.0 | 52500 | 0.3080 | 0.9462 |
| 0.056 | 8.0 | 60000 | 0.3970 | 0.9436 |
| 0.0531 | 9.0 | 67500 | 0.3881 | 0.9401 |
| 0.037 | 10.0 | 75000 | 0.3956 | 0.9443 |
| 0.0309 | 11.0 | 82500 | 0.4551 | 0.9416 |
| 0.0257 | 12.0 | 90000 | 0.4521 | 0.9428 |
| 0.0287 | 13.0 | 97500 | 0.4650 | 0.9413 |
| 0.0121 | 14.0 | 105000 | 0.4888 | 0.9464 |
| 0.0116 | 15.0 | 112500 | 0.5071 | 0.9457 |
| 0.0085 | 16.0 | 120000 | 0.5249 | 0.9449 |
| 0.0107 | 17.0 | 127500 | 0.5244 | 0.9463 |
| 0.0031 | 18.0 | 135000 | 0.5597 | 0.9459 |
| 0.0041 | 19.0 | 142500 | 0.5615 | 0.9476 |
| 0.0029 | 20.0 | 150000 | 0.5754 | 0.9466 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3