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roberta-blm-tweets
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3333
- Train Accuracy: 0.8964
- Validation Loss: 1.5482
- Validation Accuracy: 0.6106
- Epoch: 7
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 |
|---|---|---|---|---|
| 1.4279 | 0.4908 | 1.3684 | 0.5442 | 0 |
| 1.1474 | 0.6375 | 1.2189 | 0.5796 | 1 |
| 0.9645 | 0.7016 | 1.1257 | 0.6106 | 2 |
| 0.7404 | 0.7534 | 1.2809 | 0.6239 | 3 |
| 0.6608 | 0.7965 | 1.4192 | 0.5973 | 4 |
| 0.5460 | 0.8187 | 1.3828 | 0.5354 | 5 |
| 0.4058 | 0.8668 | 1.5394 | 0.5929 | 6 |
| 0.3333 | 0.8964 | 1.5482 | 0.6106 | 7 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Tokenizers 0.13.2
