README.md

metadata

tags: autotrain
datasets:
  - abhishek/autotrain-data-vision_79ca848474e24ad3a520c09e36452e85
  - cifar10
co2_eq_emissions: 32.869648157119876
model-index:
  - name: autotrain_cifar10_vit_base
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: cifar10
          type: cifar10
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9834
      - task:
          type: image-classification
          name: Image Classification
        dataset:
          name: cifar10
          type: cifar10
          config: plain_text
          split: test
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9811
            verified: true
          - name: Precision Macro
            type: precision
            value: 0.9812371727477451
            verified: true
          - name: Precision Micro
            type: precision
            value: 0.9811
            verified: true
          - name: Precision Weighted
            type: precision
            value: 0.9812371727477451
            verified: true
          - name: Recall Macro
            type: recall
            value: 0.9811
            verified: true
          - name: Recall Micro
            type: recall
            value: 0.9811
            verified: true
          - name: Recall Weighted
            type: recall
            value: 0.9811
            verified: true
          - name: F1 Macro
            type: f1
            value: 0.9811240087824231
            verified: true
          - name: F1 Micro
            type: f1
            value: 0.9811
            verified: true
          - name: F1 Weighted
            type: f1
            value: 0.981124008782423
            verified: true
          - name: loss
            type: loss
            value: 0.0649944543838501
            verified: true

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 300303
• CO2 Emissions (in grams): 32.869648157119876

Validation Metrics

• Loss: 0.05070499703288078
• Accuracy: 0.9834
• Macro F1: 0.9834026834840477
• Micro F1: 0.9834
• Weighted F1: 0.9834026834840479
• Macro Precision: 0.9834502145172822
• Micro Precision: 0.9834
• Weighted Precision: 0.9834502145172822
• Macro Recall: 0.9833999999999999
• Micro Recall: 0.9834
• Weighted Recall: 0.9834