---
license: apache-2.0
base_model: google/vit-base-patch32-384
tags:
- generated_from_keras_callback
model-index:
- name: Prahas10/roof-test
  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. -->

# Prahas10/roof-test

This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.co/google/vit-base-patch32-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0637
- Validation Loss: 0.1264
- Train Accuracy: 0.9474
- Epoch: 28

## 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': 4e-05, 'decay_steps': 3990, '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': 0.0001}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.6939     | 2.4863          | 0.2807         | 0     |
| 2.1820     | 2.2454          | 0.4912         | 1     |
| 1.8026     | 1.8798          | 0.4912         | 2     |
| 1.4641     | 1.6673          | 0.5439         | 3     |
| 1.1288     | 1.3594          | 0.6842         | 4     |
| 0.9426     | 1.0517          | 0.8070         | 5     |
| 0.6577     | 0.8531          | 0.8421         | 6     |
| 0.5025     | 0.6971          | 0.8772         | 7     |
| 0.3976     | 0.5785          | 0.8596         | 8     |
| 0.3052     | 0.5568          | 0.9123         | 9     |
| 0.2562     | 0.5137          | 0.8947         | 10    |
| 0.3250     | 0.4415          | 0.9298         | 11    |
| 0.2773     | 0.8003          | 0.7368         | 12    |
| 0.2694     | 0.4544          | 0.8421         | 13    |
| 0.2180     | 0.5179          | 0.8947         | 14    |
| 0.1515     | 0.3450          | 0.9825         | 15    |
| 0.1386     | 0.2818          | 0.9825         | 16    |
| 0.1058     | 0.1962          | 0.9649         | 17    |
| 0.0724     | 0.2456          | 0.9825         | 18    |
| 0.0604     | 0.2432          | 0.9649         | 19    |
| 0.0718     | 0.2548          | 1.0            | 20    |
| 0.0507     | 0.2760          | 0.9474         | 21    |
| 0.0453     | 0.1565          | 0.9825         | 22    |
| 0.0274     | 0.1377          | 0.9825         | 23    |
| 0.0396     | 0.1906          | 0.9649         | 24    |
| 0.0360     | 0.1217          | 0.9825         | 25    |
| 0.0307     | 0.2234          | 0.9474         | 26    |
| 0.0427     | 0.2861          | 0.9298         | 27    |
| 0.0637     | 0.1264          | 0.9474         | 28    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.2