N_distilbert_agnews_padding60model
This model is a fine-tuned version of distilbert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.6714
- Accuracy: 0.945
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 |
|---|---|---|---|---|
| 0.1829 | 1.0 | 7500 | 0.1828 | 0.9445 |
| 0.1406 | 2.0 | 15000 | 0.1995 | 0.9436 |
| 0.1229 | 3.0 | 22500 | 0.2025 | 0.9470 |
| 0.0893 | 4.0 | 30000 | 0.2578 | 0.9464 |
| 0.0547 | 5.0 | 37500 | 0.3250 | 0.9392 |
| 0.0394 | 6.0 | 45000 | 0.3882 | 0.9391 |
| 0.0368 | 7.0 | 52500 | 0.4054 | 0.9383 |
| 0.0221 | 8.0 | 60000 | 0.4602 | 0.9396 |
| 0.0179 | 9.0 | 67500 | 0.4535 | 0.9430 |
| 0.015 | 10.0 | 75000 | 0.4745 | 0.9421 |
| 0.0177 | 11.0 | 82500 | 0.5035 | 0.9439 |
| 0.0147 | 12.0 | 90000 | 0.4848 | 0.9436 |
| 0.0077 | 13.0 | 97500 | 0.5222 | 0.9447 |
| 0.0039 | 14.0 | 105000 | 0.5591 | 0.9432 |
| 0.0042 | 15.0 | 112500 | 0.5863 | 0.9433 |
| 0.0017 | 16.0 | 120000 | 0.6075 | 0.9457 |
| 0.003 | 17.0 | 127500 | 0.6207 | 0.9455 |
| 0.0017 | 18.0 | 135000 | 0.6482 | 0.9454 |
| 0.0004 | 19.0 | 142500 | 0.6646 | 0.9457 |
| 0.0017 | 20.0 | 150000 | 0.6714 | 0.945 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3