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Proyecto-Transformers
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.3322
- Train Accuracy: 0.5469
- Validation Loss: 2.5269
- Validation Accuracy: 0.2944
- Epoch: 4
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:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.5237 | 0.5237 | 2.2847 | 0.3024 | 0 |
| 1.4421 | 0.5378 | 2.3720 | 0.2823 | 1 |
| 1.3973 | 0.5439 | 2.4879 | 0.2742 | 2 |
| 1.3523 | 0.5610 | 2.4525 | 0.2944 | 3 |
| 1.3322 | 0.5469 | 2.5269 | 0.2944 | 4 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.5.0
- Tokenizers 0.13.2
