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TF-distilbert-base-uncased-finetuned-emotion
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: 0.1580
- Train Sparse Categorical Accuracy: 0.9355
- Train F1 Score: 0.8737
- Validation Loss: 0.1265
- Validation Sparse Categorical Accuracy: 0.9365
- Validation F1 Score: 0.8915
- Epoch: 1
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': 2e-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 Sparse Categorical Accuracy | Train F1 Score | Validation Loss | Validation Sparse Categorical Accuracy | Validation F1 Score | Epoch |
|---|---|---|---|---|---|---|
| 0.6082 | 0.7922 | 0.7351 | 0.1826 | 0.9265 | 0.8500 | 0 |
| 0.1580 | 0.9355 | 0.8737 | 0.1265 | 0.9365 | 0.8915 | 1 |
Framework versions
- Transformers 4.22.2
- TensorFlow 2.10.0
- Datasets 2.5.1
- Tokenizers 0.12.1
