agusg6/img_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: 1.2981
- Validation Loss: 1.3618
- Train Accuracy: 0.312
- 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': 5620, '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 |
---|---|---|---|
1.3695 | 1.3738 | 0.28 | 0 |
1.3253 | 1.3526 | 0.32 | 1 |
1.3217 | 1.3492 | 0.336 | 2 |
1.3060 | 1.3499 | 0.336 | 3 |
1.2981 | 1.3618 | 0.312 | 4 |
Framework versions
- Transformers 4.39.3
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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