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keras-io/sentiment-analysis
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: 0.6865
- Validation Loss: 0.7002
- Train Accuracy: 0.4908
- 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': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.6865 | 0.6975 | 0.4908 | 0 |
| 0.6865 | 0.6973 | 0.4908 | 1 |
| 0.6865 | 0.6976 | 0.4908 | 2 |
| 0.6865 | 0.6975 | 0.4908 | 3 |
| 0.6865 | 0.7002 | 0.4908 | 4 |
Framework versions
- Transformers 4.16.2
- TensorFlow 2.7.0
- Datasets 1.18.2
- Tokenizers 0.11.0
