Add evaluation results on fashion_mnist dataset
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [fashion_mnist](https://huggingface.co/datasets/fashion_mnist) dataset by
@abhishek
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6c6741ef-7054734).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=fashion_mnist).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=fashion_mnist).
README.md
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@@ -17,6 +17,59 @@ model-index:
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- name: Accuracy
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type: accuracy
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value: 0.9473
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---
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# Model Trained Using AutoTrain
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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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