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---
license: apache-2.0
base_model: google/vit-base-patch32-384
tags:
- generated_from_keras_callback
model-index:
- name: nj1867/roof_classification_new_dataset_4_march
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. -->
# nj1867/roof_classification_new_dataset_4_march
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: 0.1523
- Validation Loss: 0.7698
- Train Accuracy: 0.8375
- Epoch: 19
## 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': 7440, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 4.2343 | 4.0917 | 0.0437 | 0 |
| 3.7984 | 3.8481 | 0.1313 | 1 |
| 3.3245 | 3.5615 | 0.1062 | 2 |
| 2.8352 | 3.1190 | 0.3 | 3 |
| 2.3077 | 2.7024 | 0.4 | 4 |
| 1.8445 | 2.4423 | 0.4625 | 5 |
| 1.4533 | 2.0483 | 0.5813 | 6 |
| 1.1535 | 1.8203 | 0.65 | 7 |
| 0.9074 | 1.4581 | 0.725 | 8 |
| 0.7190 | 1.3655 | 0.7812 | 9 |
| 0.5880 | 1.2685 | 0.7875 | 10 |
| 0.4729 | 1.2005 | 0.7875 | 11 |
| 0.4004 | 0.9699 | 0.825 | 12 |
| 0.3349 | 0.9435 | 0.8313 | 13 |
| 0.2789 | 0.8993 | 0.8438 | 14 |
| 0.2179 | 0.8071 | 0.8625 | 15 |
| 0.2061 | 0.7852 | 0.8812 | 16 |
| 0.2124 | 0.7664 | 0.8625 | 17 |
| 0.1623 | 0.8276 | 0.8562 | 18 |
| 0.1523 | 0.7698 | 0.8375 | 19 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.13.1
- Datasets 2.18.0
- Tokenizers 0.15.2
|