abhishek
/

autotrain-dog-vs-food

Image Classification Transformers PyTorch

vit Trained with AutoTrain Eval Results Carbon Emissions Inference Endpoints

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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

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Dataset used to train abhishek/autotrain-dog-vs-food

Evaluation results

Accuracy on sasha/dog-food
self-reported

0.998
Accuracy on sasha/dog-food
test set self-reported

1.000
Precision on sasha/dog-food
test set self-reported

1.000
Recall on sasha/dog-food
test set self-reported

1.000
AUC on sasha/dog-food
test set self-reported

1.000
F1 on sasha/dog-food
test set self-reported

1.000
loss on sasha/dog-food
test set self-reported

0.001

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