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--- |
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tags: autotrain |
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datasets: |
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- abhishek/autotrain-data-vision_877913e77fb94b7abd4dafc5ebf830b0 |
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- fashion_mnist |
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co2_eq_emissions: 0.2438639401641305 |
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model-index: |
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- name: autotrain_fashion_mnist_vit_base |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: fashion_mnist |
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type: fashion_mnist |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9473 |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: fashion_mnist |
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type: fashion_mnist |
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config: fashion_mnist |
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split: test |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9431 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 0.9435374485262068 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 0.9431 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 0.9435374485262069 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 0.9430999999999999 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 0.9431 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 0.9431 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 0.9431357840300738 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 0.9431 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 0.9431357840300738 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.17352284491062164 |
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verified: true |
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--- |
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# Model Trained Using AutoTrain |
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|
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- Problem type: Multi-class Classification |
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- Model ID: 7024732 |
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- CO2 Emissions (in grams): 0.2438639401641305 |
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## Validation Metrics |
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|
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- Loss: 0.16775867342948914 |
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- Accuracy: 0.9473333333333334 |
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- Macro F1: 0.9473921270228505 |
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- Micro F1: 0.9473333333333334 |
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- Weighted F1: 0.9473921270228505 |
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- Macro Precision: 0.9478705813419325 |
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- Micro Precision: 0.9473333333333334 |
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- Weighted Precision: 0.9478705813419323 |
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- Macro Recall: 0.9473333333333332 |
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- Micro Recall: 0.9473333333333334 |
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- Weighted Recall: 0.9473333333333334 |
