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---
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 |