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autotrain_fashion_mnist_vit_base

Image Classification
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autotrain_fashion_mnist_vit_base / README.md
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Add evaluation results on fashion_mnist dataset (#1)
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metadata
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