YAML Metadata
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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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Dataset used to train abhishek/autotrain_fashion_mnist_vit_base
Space using abhishek/autotrain_fashion_mnist_vit_base 1
Evaluation results
- Accuracy on fashion_mnistself-reported0.947
- Accuracy on fashion_mnisttest set self-reported0.943
- Precision Macro on fashion_mnisttest set self-reported0.944
- Precision Micro on fashion_mnisttest set self-reported0.943
- Precision Weighted on fashion_mnisttest set self-reported0.944
- Recall Macro on fashion_mnisttest set self-reported0.943
- Recall Micro on fashion_mnisttest set self-reported0.943
- Recall Weighted on fashion_mnisttest set self-reported0.943
- F1 Macro on fashion_mnisttest set self-reported0.943
- F1 Micro on fashion_mnisttest set self-reported0.943