CynthiaCR/emotions_classifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.3846
- Validation Loss: 1.6122
- Train Accuracy: 0.2687
- Epoch: 19
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 12800, '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, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 2.0363 | 2.0960 | 0.1 | 0 |
| 2.0822 | 2.1254 | 0.0813 | 1 |
| 1.9916 | 1.9392 | 0.2062 | 2 |
| 1.9223 | 1.8385 | 0.1688 | 3 |
| 1.8213 | 1.7294 | 0.2313 | 4 |
| 1.6940 | 1.6953 | 0.2625 | 5 |
| 1.7153 | 1.6009 | 0.3187 | 6 |
| 1.5788 | 1.6385 | 0.275 | 7 |
| 1.5359 | 1.5635 | 0.3438 | 8 |
| 1.4768 | 1.6180 | 0.325 | 9 |
| 1.4746 | 1.6063 | 0.3125 | 10 |
| 1.5163 | 1.5641 | 0.3625 | 11 |
| 1.4692 | 1.5722 | 0.3063 | 12 |
| 1.4468 | 1.7363 | 0.35 | 13 |
| 1.7116 | 1.7531 | 0.2687 | 14 |
| 1.5334 | 1.5908 | 0.2562 | 15 |
| 1.4988 | 1.5169 | 0.3312 | 16 |
| 1.4605 | 1.5041 | 0.2812 | 17 |
| 1.3545 | 1.4824 | 0.3187 | 18 |
| 1.3846 | 1.6122 | 0.2687 | 19 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3