---
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: []
---

<!-- 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. -->

# traynothein_resize_treeclasss

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: 0.0426
- 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