Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1647758504
- CO2 Emissions (in grams): 6.7999
Validation Metrics
- Loss: 0.001
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
- Downloads last month
- 4
Dataset used to train amalla2/dog-food-fine
Evaluation results
- Accuracy on lewtun/dog_foodtest set self-reported1.000
- Precision Macro on lewtun/dog_foodtest set self-reported1.000
- Precision Micro on lewtun/dog_foodtest set self-reported1.000
- Precision Weighted on lewtun/dog_foodtest set self-reported1.000
- Recall Macro on lewtun/dog_foodtest set self-reported1.000
- Recall Micro on lewtun/dog_foodtest set self-reported1.000
- Recall Weighted on lewtun/dog_foodtest set self-reported1.000
- F1 Macro on lewtun/dog_foodtest set self-reported1.000