
<!-- 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. -->

# hamaadrafique/indoor_localization_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: 3.6696
- Validation Loss: 3.7110
- Train Accuracy: 0.0
- 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': 950, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 3.6990     | 3.6910          | 0.0            | 0     |
| 3.6738     | 3.6922          | 0.0            | 1     |
| 3.6766     | 3.7100          | 0.0            | 2     |
| 3.6836     | 3.7129          | 0.0            | 3     |
| 3.6696     | 3.7110          | 0.0            | 4     |


### Framework versions

- Transformers 4.41.0
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1

rp1 rp10 rp19 rp2 rp20 rp21 rp22 rp23 rp24 rp25 rp26 rp27 rp11 rp28 rp29 rp3 rp30 rp31 rp32 rp33 rp34 rp35 rp36 rp12 rp37 rp38 rp39 rp4 rp40 rp5 rp6 rp7 rp8 rp9 rp13 rp14 rp15 rp16 rp17 rp18