metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: rwang5688/vit-base-patch16-224-finetuned-eurosat
results: []
rwang5688/vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3145
- Validation Loss: 0.0427
- Validation Accuracy: 0.9870
- Epoch: 2
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': 5e-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 | Validation Accuracy | Epoch |
|---|---|---|---|
| 0.4985 | 0.1121 | 0.9641 | 0 |
| 0.3527 | 0.0535 | 0.9826 | 1 |
| 0.3145 | 0.0427 | 0.9870 | 2 |
Framework versions
- Transformers 4.21.1
- TensorFlow 2.9.1
- Datasets 2.4.0
- Tokenizers 0.12.1