metadata
license: apache-2.0
base_model: google/vit-base-patch32-384
tags:
- generated_from_keras_callback
model-index:
- name: nj1867/roof_classification_new_dataset_4_march
results: []
nj1867/roof_classification_new_dataset_4_march
This model is a fine-tuned version of google/vit-base-patch32-384 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.9074
- Validation Loss: 1.4581
- Train Accuracy: 0.725
- Epoch: 8
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': 7440, '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': 0.0001}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 4.2343 | 4.0917 | 0.0437 | 0 |
| 3.7984 | 3.8481 | 0.1313 | 1 |
| 3.3245 | 3.5615 | 0.1062 | 2 |
| 2.8352 | 3.1190 | 0.3 | 3 |
| 2.3077 | 2.7024 | 0.4 | 4 |
| 1.8445 | 2.4423 | 0.4625 | 5 |
| 1.4533 | 2.0483 | 0.5813 | 6 |
| 1.1535 | 1.8203 | 0.65 | 7 |
| 0.9074 | 1.4581 | 0.725 | 8 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.13.1
- Datasets 2.18.0
- Tokenizers 0.15.2