N_distilbert_agnews_padding90model
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: 0.6235
- Accuracy: 0.9474
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 |
---|---|---|---|---|
0.1806 | 1.0 | 7500 | 0.1897 | 0.9411 |
0.1426 | 2.0 | 15000 | 0.2027 | 0.9421 |
0.1169 | 3.0 | 22500 | 0.2151 | 0.9447 |
0.0978 | 4.0 | 30000 | 0.2648 | 0.9421 |
0.0634 | 5.0 | 37500 | 0.3140 | 0.9393 |
0.0385 | 6.0 | 45000 | 0.3887 | 0.9413 |
0.0335 | 7.0 | 52500 | 0.4336 | 0.9378 |
0.0317 | 8.0 | 60000 | 0.4547 | 0.9405 |
0.0192 | 9.0 | 67500 | 0.4665 | 0.9389 |
0.0091 | 10.0 | 75000 | 0.4814 | 0.9422 |
0.0142 | 11.0 | 82500 | 0.5405 | 0.9422 |
0.0131 | 12.0 | 90000 | 0.5560 | 0.9416 |
0.0131 | 13.0 | 97500 | 0.5343 | 0.9413 |
0.005 | 14.0 | 105000 | 0.5242 | 0.9430 |
0.0013 | 15.0 | 112500 | 0.5975 | 0.9425 |
0.003 | 16.0 | 120000 | 0.5905 | 0.9430 |
0.0024 | 17.0 | 127500 | 0.5740 | 0.9453 |
0.0009 | 18.0 | 135000 | 0.6001 | 0.9457 |
0.0012 | 19.0 | 142500 | 0.6177 | 0.9467 |
0.0002 | 20.0 | 150000 | 0.6235 | 0.9474 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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