N_distilbert_agnews_padding70model
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: 0.6396
- 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 |
|---|---|---|---|---|
| 0.1861 | 1.0 | 7500 | 0.1881 | 0.9424 |
| 0.1359 | 2.0 | 15000 | 0.1967 | 0.9451 |
| 0.1194 | 3.0 | 22500 | 0.2221 | 0.9429 |
| 0.0881 | 4.0 | 30000 | 0.2671 | 0.9451 |
| 0.0577 | 5.0 | 37500 | 0.3216 | 0.9367 |
| 0.0503 | 6.0 | 45000 | 0.3547 | 0.9420 |
| 0.0402 | 7.0 | 52500 | 0.4013 | 0.9433 |
| 0.0279 | 8.0 | 60000 | 0.4334 | 0.9438 |
| 0.0169 | 9.0 | 67500 | 0.5243 | 0.9371 |
| 0.0104 | 10.0 | 75000 | 0.4979 | 0.9425 |
| 0.0149 | 11.0 | 82500 | 0.5179 | 0.9436 |
| 0.0129 | 12.0 | 90000 | 0.5020 | 0.9413 |
| 0.0054 | 13.0 | 97500 | 0.5674 | 0.9420 |
| 0.01 | 14.0 | 105000 | 0.5720 | 0.9433 |
| 0.0087 | 15.0 | 112500 | 0.5746 | 0.9409 |
| 0.0022 | 16.0 | 120000 | 0.5759 | 0.9436 |
| 0.0012 | 17.0 | 127500 | 0.5933 | 0.9436 |
| 0.0005 | 18.0 | 135000 | 0.6308 | 0.9429 |
| 0.0021 | 19.0 | 142500 | 0.6259 | 0.9445 |
| 0.0017 | 20.0 | 150000 | 0.6396 | 0.945 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3