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# cat_ds

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:
- Loss: 0.0137
- Accuracy: 1.0

## 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:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4194        | 1.0   | 13   | 0.0737          | 1.0      |
| 0.063         | 2.0   | 26   | 0.0266          | 1.0      |
| 0.051         | 3.0   | 39   | 0.0151          | 1.0      |
| 0.014         | 4.0   | 52   | 0.0137          | 1.0      |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0.post103
- Datasets 2.16.1
- Tokenizers 0.15.1

prim rupe