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---
license: apache-2.0
base_model: google/vit-base-patch16-384
tags:
- generated_from_keras_callback
model-index:
- name: Prahas10/roof-large
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-large
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0498
- Validation Loss: 0.1617
- Train Accuracy: 0.9636
- Epoch: 9
## 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': 4380, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.6423 | 1.0616 | 0.7091 | 0 |
| 0.4478 | 0.6131 | 0.8636 | 1 |
| 0.1556 | 0.2951 | 0.9273 | 2 |
| 0.0688 | 0.5952 | 0.7909 | 3 |
| 0.1217 | 0.2658 | 0.9273 | 4 |
| 0.0391 | 0.2163 | 0.9545 | 5 |
| 0.0364 | 0.0717 | 0.9818 | 6 |
| 0.0562 | 0.3374 | 0.8727 | 7 |
| 0.0692 | 0.6530 | 0.7909 | 8 |
| 0.0498 | 0.1617 | 0.9636 | 9 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.2
|