N_bert_agnews_padding50model
This model is a fine-tuned version of bert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.5754
- 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 |
|---|---|---|---|---|
| 0.1754 | 1.0 | 7500 | 0.1909 | 0.9428 |
| 0.1362 | 2.0 | 15000 | 0.1928 | 0.9461 |
| 0.1139 | 3.0 | 22500 | 0.2106 | 0.9461 |
| 0.0825 | 4.0 | 30000 | 0.2544 | 0.9466 |
| 0.0565 | 5.0 | 37500 | 0.3046 | 0.9367 |
| 0.0372 | 6.0 | 45000 | 0.3764 | 0.9436 |
| 0.0347 | 7.0 | 52500 | 0.3646 | 0.9425 |
| 0.0346 | 8.0 | 60000 | 0.3826 | 0.9461 |
| 0.0247 | 9.0 | 67500 | 0.4244 | 0.9455 |
| 0.0113 | 10.0 | 75000 | 0.4418 | 0.9446 |
| 0.0166 | 11.0 | 82500 | 0.4917 | 0.9462 |
| 0.0157 | 12.0 | 90000 | 0.4662 | 0.9442 |
| 0.0124 | 13.0 | 97500 | 0.4864 | 0.9438 |
| 0.0055 | 14.0 | 105000 | 0.4912 | 0.9457 |
| 0.0102 | 15.0 | 112500 | 0.5040 | 0.9446 |
| 0.0045 | 16.0 | 120000 | 0.5200 | 0.9441 |
| 0.0038 | 17.0 | 127500 | 0.5374 | 0.9467 |
| 0.0012 | 18.0 | 135000 | 0.5605 | 0.9459 |
| 0.0005 | 19.0 | 142500 | 0.5809 | 0.9455 |
| 0.0003 | 20.0 | 150000 | 0.5754 | 0.9467 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3