README.md

metadata

tags: autotrain
datasets:
  - abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934
  - sasha/dog-food
co2_eq_emissions: 2.050948967287266
model-index:
  - name: autotrain-dog-vs-food
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: sasha/dog-food
          type: sasha/dog-food
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9976190476190476
      - task:
          type: image-classification
          name: Image Classification
        dataset:
          name: sasha/dog-food
          type: sasha/dog-food
          config: sasha--dog-food
          split: test
        metrics:
          - name: Accuracy
            type: accuracy
            value: 1
            verified: true
          - name: Precision
            type: precision
            value: 1
            verified: true
          - name: Recall
            type: recall
            value: 1
            verified: true
          - name: AUC
            type: auc
            value: 1
            verified: true
          - name: F1
            type: f1
            value: 1
            verified: true
          - name: loss
            type: loss
            value: 0.001115015591494739
            verified: true

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 264300
• CO2 Emissions (in grams): 2.050948967287266

Validation Metrics

• Loss: 0.009216072037816048
• Accuracy: 0.9976190476190476
• Macro F1: 0.9973261861865685
• Micro F1: 0.9976190476190476
• Weighted F1: 0.997621154535828
• Macro Precision: 0.9964539007092199
• Micro Precision: 0.9976190476190476
• Weighted Precision: 0.9976359338061465
• Macro Recall: 0.9982142857142857
• Micro Recall: 0.9976190476190476
• Weighted Recall: 0.9976190476190476