agusg6/img_classifier_2CLA_augmentation_1
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: 0.4705
- Validation Loss: 0.4526
- Train Accuracy: 0.8108
- 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 22190, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 |
---|---|---|---|
0.5453 | 0.5995 | 0.6865 | 0 |
0.5190 | 0.5308 | 0.7505 | 1 |
0.5038 | 0.4867 | 0.7847 | 2 |
0.4928 | 0.4781 | 0.7928 | 3 |
0.4705 | 0.4526 | 0.8108 | 4 |
Framework versions
- Transformers 4.39.3
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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