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# vit_cats-vs-dogs

This model is a fine-tuned version of [Manu8/vit_cifar](https://huggingface.co/Manu8/vit_cifar) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4201
- eval_accuracy: 0.819
- eval_runtime: 12.7705
- eval_samples_per_second: 391.527
- eval_steps_per_second: 1.566
- epoch: 1.0
- step: 2500

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 50

### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "Manu8/vit_cifar", "model-index": [{"name": "vit_cats-vs-dogs", "results": []}]}
transformers pytorch tensorboard safetensors customManuel image-classification generated_from_trainer custom_code base_model:Manu8/vit_cifar autotrain_compatible has_space region:us