---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
- recall
- precision
- f1

model-index:
- name: vision_transformer_mura_model_v3
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.8122969269752502
        
      - name: Recall
        type: recall
        value: 0.8786994581075448
        
      - name: Precision
        type: precision
        value: 0.8208722741433022
        
      - name: F1
        type: f1
        value: 0.8488020938192068
        
    datasets:
      - KhalfounMehdi/mura_dataset_processed_224px_train_val
---

# vision_transformer_mura_model_v3


Autogenerated by HuggingPics🤗🖼️

Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).

Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).


## Evaluation results:
 **accuracy:** 0.8122969257685578
 
 **recall:** 0.8786994581075448
 
 **precision:** 0.8208722741433022
 
 **f1:** 0.8488020938192068