Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 7024732
CO2 Emissions (in grams): 0.2438639401641305

Validation Metrics

Loss: 0.16775867342948914
Accuracy: 0.9473333333333334
Macro F1: 0.9473921270228505
Micro F1: 0.9473333333333334
Weighted F1: 0.9473921270228505
Macro Precision: 0.9478705813419325
Micro Precision: 0.9473333333333334
Weighted Precision: 0.9478705813419323
Macro Recall: 0.9473333333333332
Micro Recall: 0.9473333333333334
Weighted Recall: 0.9473333333333334

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Inference Examples

Image Classification

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Dataset used to train abhishek/autotrain_fashion_mnist_vit_base

Space using abhishek/autotrain_fashion_mnist_vit_base 1

Evaluation results

Accuracy on fashion_mnist
self-reported

0.947
Accuracy on fashion_mnist
test set self-reported

0.943
Precision Macro on fashion_mnist
test set self-reported

0.944
Precision Micro on fashion_mnist
test set self-reported

0.943
Precision Weighted on fashion_mnist
test set self-reported

0.944
Recall Macro on fashion_mnist
test set self-reported

0.943
Recall Micro on fashion_mnist
test set self-reported

0.943
Recall Weighted on fashion_mnist
test set self-reported

0.943
F1 Macro on fashion_mnist
test set self-reported

0.943
F1 Micro on fashion_mnist
test set self-reported

0.943

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