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--- |
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tags: autotrain |
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datasets: |
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- abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934 |
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- sasha/dog-food |
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co2_eq_emissions: 2.050948967287266 |
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model-index: |
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- name: autotrain-dog-vs-food |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: sasha/dog-food |
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type: sasha/dog-food |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9976190476190476 |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: sasha/dog-food |
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type: sasha/dog-food |
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config: sasha--dog-food |
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split: test |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 1.0 |
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verified: true |
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- name: Precision |
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type: precision |
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value: 1.0 |
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verified: true |
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- name: Recall |
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type: recall |
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value: 1.0 |
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verified: true |
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- name: AUC |
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type: auc |
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value: 1.0 |
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verified: true |
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- name: F1 |
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type: f1 |
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value: 1.0 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.001115015591494739 |
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verified: true |
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--- |
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# Model Trained Using AutoTrain |
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|
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- Problem type: Multi-class Classification |
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- Model ID: 264300 |
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- CO2 Emissions (in grams): 2.050948967287266 |
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## Validation Metrics |
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|
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- Loss: 0.009216072037816048 |
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- Accuracy: 0.9976190476190476 |
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- Macro F1: 0.9973261861865685 |
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- Micro F1: 0.9976190476190476 |
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- Weighted F1: 0.997621154535828 |
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- Macro Precision: 0.9964539007092199 |
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- Micro Precision: 0.9976190476190476 |
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- Weighted Precision: 0.9976359338061465 |
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- Macro Recall: 0.9982142857142857 |
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- Micro Recall: 0.9976190476190476 |
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- Weighted Recall: 0.9976190476190476 |
