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library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: AlaaHussien/weather_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. -->
# AlaaHussien/weather_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: 0.1169
- Validation Loss: 0.2788
- Train Accuracy: 0.9206
- Train Precision: 0.9220
- Train Recall: 0.9206
- Train F1: 0.9208
- Epoch: 4
## 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': 27445, '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 | Train Precision | Train Recall | Train F1 | Epoch |
|:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
| 0.1984 | 0.2676 | 0.9250 | 0.9266 | 0.9250 | 0.9244 | 0 |
| 0.1562 | 0.2494 | 0.9279 | 0.9293 | 0.9279 | 0.9280 | 1 |
| 0.1384 | 0.2656 | 0.9228 | 0.9238 | 0.9228 | 0.9227 | 2 |
| 0.1186 | 0.2668 | 0.9243 | 0.9248 | 0.9243 | 0.9238 | 3 |
| 0.1169 | 0.2788 | 0.9206 | 0.9220 | 0.9206 | 0.9208 | 4 |
### Framework versions
- Transformers 4.51.3
- TensorFlow 2.18.0
- Datasets 3.6.0
- Tokenizers 0.21.1
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