metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: amiguel/cmm560_surface_corrosion_classifier
results: []
amiguel/cmm560_surface_corrosion_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: 0.0340
- Validation Loss: 0.0958
- Train Accuracy: 0.9731
- Epoch: 14
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': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.3646 | 0.2100 | 0.8879 | 0 |
| 0.1923 | 0.1380 | 0.9731 | 1 |
| 0.1445 | 0.1082 | 0.9731 | 2 |
| 0.1066 | 0.0847 | 0.9776 | 3 |
| 0.0779 | 0.0656 | 0.9731 | 4 |
| 0.0758 | 0.0658 | 0.9776 | 5 |
| 0.0892 | 0.0499 | 0.9821 | 6 |
| 0.0701 | 0.1073 | 0.9731 | 7 |
| 0.0656 | 0.0655 | 0.9686 | 8 |
| 0.0527 | 0.0578 | 0.9776 | 9 |
| 0.0731 | 0.1136 | 0.9462 | 10 |
| 0.0508 | 0.0830 | 0.9641 | 11 |
| 0.0453 | 0.0762 | 0.9731 | 12 |
| 0.0541 | 0.0821 | 0.9686 | 13 |
| 0.0340 | 0.0958 | 0.9731 | 14 |
Framework versions
- Transformers 4.42.4
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1