metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: arieg/4_100_s
results: []
arieg/4_100_s
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: 0.0361
- Validation Loss: 0.0352
- Train Accuracy: 1.0
- 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', 'clipnorm': 1.0, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 7200, '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 |
|---|---|---|---|
| 0.9729 | 0.5902 | 1.0 | 0 |
| 0.4190 | 0.2874 | 1.0 | 1 |
| 0.2212 | 0.1722 | 1.0 | 2 |
| 0.1512 | 0.1305 | 1.0 | 3 |
| 0.1192 | 0.1058 | 1.0 | 4 |
| 0.1007 | 0.0926 | 1.0 | 5 |
| 0.0885 | 0.0827 | 1.0 | 6 |
| 0.0796 | 0.0753 | 1.0 | 7 |
| 0.0726 | 0.0689 | 1.0 | 8 |
| 0.0668 | 0.0636 | 1.0 | 9 |
| 0.0620 | 0.0594 | 1.0 | 10 |
| 0.0578 | 0.0554 | 1.0 | 11 |
| 0.0541 | 0.0524 | 1.0 | 12 |
| 0.0507 | 0.0494 | 1.0 | 13 |
| 0.0477 | 0.0459 | 1.0 | 14 |
| 0.0450 | 0.0436 | 1.0 | 15 |
| 0.0425 | 0.0413 | 1.0 | 16 |
| 0.0402 | 0.0392 | 1.0 | 17 |
| 0.0380 | 0.0371 | 1.0 | 18 |
| 0.0361 | 0.0352 | 1.0 | 19 |
Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1