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---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: fanaf91318/image-classifier-78-10-epoch-clean
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# fanaf91318/image-classifier-78-10-epoch-clean
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7377
- Validation Loss: 1.1864
- Train Accuracy: 0.7046
- Epoch: 9
## 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': 0.0001, 'decay_steps': 59000, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 3.7894 | 3.2415 | 0.3476 | 0 |
| 2.9188 | 2.5308 | 0.4824 | 1 |
| 2.2939 | 2.0642 | 0.5501 | 2 |
| 1.8570 | 1.7353 | 0.5962 | 3 |
| 1.5300 | 1.5211 | 0.6369 | 4 |
| 1.2610 | 1.4143 | 0.6612 | 5 |
| 1.0738 | 1.2610 | 0.6965 | 6 |
| 0.9197 | 1.2404 | 0.6897 | 7 |
| 0.8280 | 1.2069 | 0.6985 | 8 |
| 0.7377 | 1.1864 | 0.7046 | 9 |
### Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1
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