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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
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Dataset used to train abhishek/autotrain_cifar10_vit_base
Evaluation results
- Accuracy on cifar10self-reported0.983
- Accuracy on cifar10test set self-reported0.981
- Precision Macro on cifar10test set self-reported0.981
- Precision Micro on cifar10test set self-reported0.981
- Precision Weighted on cifar10test set self-reported0.981
- Recall Macro on cifar10test set self-reported0.981
- Recall Micro on cifar10test set self-reported0.981
- Recall Weighted on cifar10test set self-reported0.981
- F1 Macro on cifar10test set self-reported0.981
- F1 Micro on cifar10test set self-reported0.981