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# NInjaQuarrior/vit-base-patch16-224-in21k-disaster2

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: 0.1002
- Train Caccuracy: 0.9936
- Train Fn: 14.0
- Train Fp: 17.0
- Train Tn: 4647.0
- Train Tp: 2318.0
- Validation Loss: 0.1452
- Validation Caccuracy: 0.9757
- Validation Fn: 9.0
- Validation Fp: 12.0
- Validation Tn: 812.0
- Validation Tp: 403.0
- Epoch: 2

## 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 219, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Train Caccuracy | Train Fn | Train Fp | Train Tn | Train Tp | Validation Loss | Validation Caccuracy | Validation Fn | Validation Fp | Validation Tn | Validation Tp | Epoch |
|:----------:|:---------------:|:--------:|:--------:|:--------:|:--------:|:---------------:|:--------------------:|:-------------:|:-------------:|:-------------:|:-------------:|:-----:|
| 0.5143     | 0.9112          | 729.0    | 38.0     | 4626.0   | 1603.0   | 0.2132          | 0.9684               | 14.0          | 14.0          | 810.0         | 398.0         | 0     |
| 0.1474     | 0.9850          | 36.0     | 41.0     | 4623.0   | 2296.0   | 0.1596          | 0.9709               | 12.0          | 14.0          | 810.0         | 400.0         | 1     |
| 0.1002     | 0.9936          | 14.0     | 17.0     | 4647.0   | 2318.0   | 0.1452          | 0.9757               | 9.0           | 12.0          | 812.0         | 403.0         | 2     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.10.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "NInjaQuarrior/vit-base-patch16-224-in21k-disaster2", "results": []}]}
transformers tf tensorboard vit image-classification generated_from_keras_callback base_model:google/vit-base-patch16-224-in21k license:apache-2.0 autotrain_compatible endpoints_compatible region:us