N_distilbert_agnews_padding80model
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: 0.6373
- Accuracy: 0.9467
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 |
|---|---|---|---|---|
| 0.1867 | 1.0 | 7500 | 0.1871 | 0.9422 |
| 0.1412 | 2.0 | 15000 | 0.1944 | 0.9457 |
| 0.1163 | 3.0 | 22500 | 0.2140 | 0.945 |
| 0.0838 | 4.0 | 30000 | 0.2455 | 0.9476 |
| 0.0572 | 5.0 | 37500 | 0.2839 | 0.9436 |
| 0.0433 | 6.0 | 45000 | 0.3780 | 0.9411 |
| 0.035 | 7.0 | 52500 | 0.4167 | 0.9384 |
| 0.0303 | 8.0 | 60000 | 0.4762 | 0.9401 |
| 0.0198 | 9.0 | 67500 | 0.4682 | 0.9407 |
| 0.0186 | 10.0 | 75000 | 0.4855 | 0.9429 |
| 0.0166 | 11.0 | 82500 | 0.5062 | 0.9416 |
| 0.0125 | 12.0 | 90000 | 0.5277 | 0.9418 |
| 0.0061 | 13.0 | 97500 | 0.5436 | 0.9442 |
| 0.0028 | 14.0 | 105000 | 0.5485 | 0.9420 |
| 0.0034 | 15.0 | 112500 | 0.5601 | 0.9441 |
| 0.0029 | 16.0 | 120000 | 0.5588 | 0.9459 |
| 0.0032 | 17.0 | 127500 | 0.6078 | 0.9436 |
| 0.0046 | 18.0 | 135000 | 0.6353 | 0.9429 |
| 0.0003 | 19.0 | 142500 | 0.6454 | 0.9458 |
| 0.0011 | 20.0 | 150000 | 0.6373 | 0.9467 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3