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---
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_keras_callback
model-index:
- name: vit-base-patch16-224-EyesNewfourclassTryAfterYolo
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. -->
# vit-base-patch16-224-EyesNewfourclassTryAfterYolo
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0091
- Train Accuracy: 0.9437
- Train Top-3-accuracy: 1.0
- Validation Loss: 0.2316
- Validation Accuracy: 0.9437
- Validation Top-3-accuracy: 0.9946
- Epoch: 4
## 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': 465, '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 |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.5159 | 0.9276 | 0.9757 | 0.2680 | 0.9276 | 0.9973 | 0 |
| 0.0910 | 0.9383 | 0.9993 | 0.2330 | 0.9383 | 0.9973 | 1 |
| 0.0277 | 0.9383 | 1.0 | 0.2437 | 0.9383 | 0.9946 | 2 |
| 0.0122 | 0.9437 | 1.0 | 0.2309 | 0.9437 | 0.9973 | 3 |
| 0.0091 | 0.9437 | 1.0 | 0.2316 | 0.9437 | 0.9946 | 4 |
### Framework versions
- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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