metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: traynothein_resize_treeclasss
results: []
traynothein_resize_treeclasss
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: 0.0426
- Train Accuracy: 0.9814
- Train Top-3-accuracy: 1.0
- Validation Loss: 0.0803
- Validation Accuracy: 0.9823
- Validation Top-3-accuracy: 1.0
- Epoch: 6
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': 504, '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 | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.4021 | 0.8416 | 1.0 | 0.1892 | 0.9342 | 1.0 | 0 |
| 0.1232 | 0.9479 | 1.0 | 0.1078 | 0.9574 | 1.0 | 1 |
| 0.0852 | 0.9635 | 1.0 | 0.1014 | 0.9678 | 1.0 | 2 |
| 0.0597 | 0.9712 | 1.0 | 0.0798 | 0.9740 | 1.0 | 3 |
| 0.0549 | 0.9761 | 1.0 | 0.0891 | 0.9777 | 1.0 | 4 |
| 0.0485 | 0.9790 | 1.0 | 0.0754 | 0.9803 | 1.0 | 5 |
| 0.0426 | 0.9814 | 1.0 | 0.0803 | 0.9823 | 1.0 | 6 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.15.1
- Datasets 3.0.0
- Tokenizers 0.19.1