---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: PK-B/roof_classifier
  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. -->

# PK-B/roof_classifier

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: 1.6844
- Validation Loss: 2.3315
- Train Accuracy: 0.425
- Epoch: 14

## 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': 1770, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.9736     | 2.9756          | 0.05           | 0     |
| 2.9016     | 2.9430          | 0.1            | 1     |
| 2.8192     | 2.9084          | 0.1            | 2     |
| 2.7004     | 2.8564          | 0.175          | 3     |
| 2.6005     | 2.8109          | 0.175          | 4     |
| 2.4981     | 2.7452          | 0.225          | 5     |
| 2.3819     | 2.6988          | 0.2125         | 6     |
| 2.2867     | 2.6998          | 0.25           | 7     |
| 2.1804     | 2.6510          | 0.275          | 8     |
| 2.1115     | 2.5307          | 0.3375         | 9     |
| 2.0161     | 2.5523          | 0.3            | 10    |
| 1.9189     | 2.5310          | 0.2875         | 11    |
| 1.8863     | 2.4733          | 0.3375         | 12    |
| 1.7518     | 2.4233          | 0.3625         | 13    |
| 1.6844     | 2.3315          | 0.425          | 14    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0