
# snacks_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 the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0090
- Accuracy: 0.8908
{"license": "apache-2.0", "datasets": ["Matthijs/snacks"], "metrics": ["accuracy"]}
transformers pytorch vit image-classification dataset:Matthijs/snacks license:apache-2.0 autotrain_compatible endpoints_compatible region:us