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: 0.6779
- Accuracy: 0.9439
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 |
---|---|---|---|---|
0.1805 | 1.0 | 7500 | 0.1957 | 0.9380 |
0.1379 | 2.0 | 15000 | 0.1941 | 0.9458 |
0.1158 | 3.0 | 22500 | 0.2227 | 0.9455 |
0.0883 | 4.0 | 30000 | 0.2490 | 0.9426 |
0.067 | 5.0 | 37500 | 0.2904 | 0.9432 |
0.0453 | 6.0 | 45000 | 0.3748 | 0.9374 |
0.0432 | 7.0 | 52500 | 0.4024 | 0.9393 |
0.032 | 8.0 | 60000 | 0.4109 | 0.9437 |
0.0151 | 9.0 | 67500 | 0.4531 | 0.9425 |
0.0126 | 10.0 | 75000 | 0.4813 | 0.9418 |
0.0171 | 11.0 | 82500 | 0.5143 | 0.9424 |
0.0122 | 12.0 | 90000 | 0.5222 | 0.9412 |
0.0099 | 13.0 | 97500 | 0.5366 | 0.9438 |
0.008 | 14.0 | 105000 | 0.5356 | 0.9437 |
0.0066 | 15.0 | 112500 | 0.5689 | 0.9437 |
0.0026 | 16.0 | 120000 | 0.5860 | 0.9449 |
0.0031 | 17.0 | 127500 | 0.6363 | 0.9434 |
0.0017 | 18.0 | 135000 | 0.6474 | 0.9433 |
0.0007 | 19.0 | 142500 | 0.6755 | 0.9437 |
0.0008 | 20.0 | 150000 | 0.6779 | 0.9439 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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