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disilbert-blm-tweets-binary
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: 0.1159
- Train Accuracy: 0.9556
- Validation Loss: 0.5772
- Validation Accuracy: 0.7965
- 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 |
|---|---|---|---|---|
| 0.5941 | 0.6905 | 0.5159 | 0.7168 | 0 |
| 0.4041 | 0.8212 | 0.4589 | 0.8142 | 1 |
| 0.2491 | 0.9026 | 0.6014 | 0.7876 | 2 |
| 0.1011 | 0.9692 | 0.7181 | 0.8053 | 3 |
| 0.1159 | 0.9556 | 0.5772 | 0.7965 | 4 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Tokenizers 0.13.2
