Abhishek Thakur
		
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							4371161
								
Add evaluation results on mnist
Browse filesBeep boop, I am a bot from Hugging Face's automatic evaluation service! Your model has been evaluated on the [mnist](https://huggingface.co/datasets/mnist) dataset, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-1cd37ed6-b663-40fc-b2e7-0e90c529b179-223264). Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mnist). Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/autoevaluate?dataset=mnist).
    	
        README.md
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         @@ -20,6 +20,63 @@ model-index: 
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                - name: Accuracy
         
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                  type: accuracy
         
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                  value: 0.9833333333333333
         
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            ---
         
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            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
         
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| 20 | 
         
             
                - name: Accuracy
         
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| 21 | 
         
             
                  type: accuracy
         
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| 22 | 
         
             
                  value: 0.9833333333333333
         
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| 23 | 
         
            +
              - 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: mnist
         
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                  type: mnist
         
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                  config: mnist
         
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                  split: test
         
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                metrics:
         
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| 32 | 
         
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                - name: Accuracy
         
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| 33 | 
         
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                  type: accuracy
         
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                  value: 0.9837
         
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| 35 | 
         
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                  verified: true
         
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| 36 | 
         
            +
                - name: Precision Macro
         
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                  type: precision
         
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| 38 | 
         
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                  value: 0.9836633320435293
         
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| 39 | 
         
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                  verified: true
         
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| 40 | 
         
            +
                - name: Precision Micro
         
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| 41 | 
         
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                  type: precision
         
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| 42 | 
         
            +
                  value: 0.9837
         
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                  verified: true
         
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                - name: Precision Weighted
         
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                  type: precision
         
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                  value: 0.9837581874425055
         
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| 47 | 
         
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                  verified: true
         
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| 48 | 
         
            +
                - name: Recall Macro
         
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                  type: recall
         
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                  value: 0.9831030184134061
         
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                  verified: true
         
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| 52 | 
         
            +
                - name: Recall Micro
         
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                  type: recall
         
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                  value: 0.9837
         
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                  verified: true
         
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| 56 | 
         
            +
                - name: Recall Weighted
         
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                  type: recall
         
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            +
                  value: 0.9837
         
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| 59 | 
         
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                  verified: true
         
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                - name: F1 Macro
         
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                  type: f1
         
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            +
                  value: 0.983311507665402
         
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| 63 | 
         
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                  verified: true
         
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| 64 | 
         
            +
                - name: F1 Micro
         
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            +
                  type: f1
         
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            +
                  value: 0.9837
         
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                  verified: true
         
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            +
                - name: F1 Weighted
         
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            +
                  type: f1
         
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| 70 | 
         
            +
                  value: 0.9836627364250822
         
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            +
                  verified: true
         
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| 72 | 
         
            +
                - name: loss
         
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                  type: loss
         
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            +
                  value: 0.051053039729595184
         
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                  verified: true
         
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            +
                - name: matthews_correlation
         
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                  type: matthews_correlation
         
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                  value: 0.9818945021449504
         
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                  verified: true
         
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            ---
         
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            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
         
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