N_distilbert_agnews_padding10model
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: 0.6711
- Accuracy: 0.9438
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 |
|---|---|---|---|---|
| 0.1775 | 1.0 | 7500 | 0.1897 | 0.9399 |
| 0.1357 | 2.0 | 15000 | 0.1881 | 0.9464 |
| 0.1124 | 3.0 | 22500 | 0.2236 | 0.9453 |
| 0.0822 | 4.0 | 30000 | 0.2775 | 0.9439 |
| 0.0517 | 5.0 | 37500 | 0.3485 | 0.9370 |
| 0.0405 | 6.0 | 45000 | 0.3514 | 0.9418 |
| 0.0356 | 7.0 | 52500 | 0.4108 | 0.9409 |
| 0.0292 | 8.0 | 60000 | 0.4351 | 0.9411 |
| 0.0191 | 9.0 | 67500 | 0.4604 | 0.9374 |
| 0.0159 | 10.0 | 75000 | 0.4604 | 0.9429 |
| 0.0126 | 11.0 | 82500 | 0.4860 | 0.9409 |
| 0.0092 | 12.0 | 90000 | 0.5452 | 0.9416 |
| 0.0075 | 13.0 | 97500 | 0.5498 | 0.9442 |
| 0.0023 | 14.0 | 105000 | 0.5712 | 0.9417 |
| 0.0015 | 15.0 | 112500 | 0.6107 | 0.9420 |
| 0.0033 | 16.0 | 120000 | 0.5908 | 0.9428 |
| 0.0029 | 17.0 | 127500 | 0.6449 | 0.9416 |
| 0.0009 | 18.0 | 135000 | 0.6534 | 0.9430 |
| 0.0013 | 19.0 | 142500 | 0.6641 | 0.9442 |
| 0.0005 | 20.0 | 150000 | 0.6711 | 0.9438 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3