Poojithpoosa/myemotion_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.5775
- Validation Loss: 1.5589
- Train Accuracy: 0.3475
- Epoch: 2
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.002, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train Accuracy | Epoch |
---|---|---|---|
1.5987 | 1.5625 | 0.3475 | 0 |
1.5827 | 1.5605 | 0.3475 | 1 |
1.5775 | 1.5589 | 0.3475 | 2 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.10.1
- Datasets 2.19.0
- Tokenizers 0.11.0
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