readme: ---
  tags: autotrain
  datasets:
  - abhishek/autotrain-data-vision_877913e77fb94b7abd4dafc5ebf830b0
  - fashion_mnist
  co2_eq_emissions: 0.2438639401641305
  model-index:
  - name: autotrain_fashion_mnist_vit_base
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: fashion_mnist
        type: fashion_mnist
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9473
    - task:
        type: image-classification
        name: Image Classification
      dataset:
        name: fashion_mnist
        type: fashion_mnist
        config: fashion_mnist
        split: test
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9431
        verified: true
      - name: Precision Macro
        type: precision
        value: 0.9435374485262068
        verified: true
      - name: Precision Micro
        type: precision
        value: 0.9431
        verified: true
      - name: Precision Weighted
        type: precision
        value: 0.9435374485262069
        verified: true
      - name: Recall Macro
        type: recall
        value: 0.9430999999999999
        verified: true
      - name: Recall Micro
        type: recall
        value: 0.9431
        verified: true
      - name: Recall Weighted
        type: recall
        value: 0.9431
        verified: true
      - name: F1 Macro
        type: f1
        value: 0.9431357840300738
        verified: true
      - name: F1 Micro
        type: f1
        value: 0.9431
        verified: true
      - name: F1 Weighted
        type: f1
        value: 0.9431357840300738
        verified: true
      - name: loss
        type: loss
        value: 0.17352284491062164
        verified: true
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Multi-class Classification
  - Model ID: 7024732
  - CO2 Emissions (in grams): 0.2438639401641305
  
  ## Validation Metrics
  
  - Loss: 0.16775867342948914
  - Accuracy: 0.9473333333333334
  - Macro F1: 0.9473921270228505
  - Micro F1: 0.9473333333333334
  - Weighted F1: 0.9473921270228505
  - Macro Precision: 0.9478705813419325
  - Micro Precision: 0.9473333333333334
  - Weighted Precision: 0.9478705813419323
  - Macro Recall: 0.9473333333333332
  - Micro Recall: 0.9473333333333334
  - Weighted Recall: 0.9473333333333334