abhishek
/

autotrain_cifar10_vit_base

Image Classification Transformers PyTorch

vit Trained with AutoTrain Eval Results Carbon Emissions Inference Endpoints

Model card Files Files and versions Community

Edit model card

YAML Metadata Error: "tags" must be an array

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

Downloads last month: 38

Dataset used to train abhishek/autotrain_cifar10_vit_base

Evaluation results

Accuracy on cifar10
self-reported

0.983
Accuracy on cifar10
test set self-reported

0.981
Precision Macro on cifar10
test set self-reported

0.981
Precision Micro on cifar10
test set self-reported

0.981
Precision Weighted on cifar10
test set self-reported

0.981
Recall Macro on cifar10
test set self-reported

0.981
Recall Micro on cifar10
test set self-reported

0.981
Recall Weighted on cifar10
test set self-reported

0.981
F1 Macro on cifar10
test set self-reported

0.981
F1 Micro on cifar10
test set self-reported

0.981
F1 Weighted on cifar10
test set self-reported

0.981
loss on cifar10
test set self-reported

0.065

View on Papers With Code