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Add evaluation results on lewtun/dog_food dataset (#1)
Browse files- Add evaluation results on lewtun/dog_food dataset (d7215ba17dbfcacd59eb97b4e3bfc7d9d114c3a4)
Co-authored-by: Evaluation Bot <[email protected]>
README.md
CHANGED
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@@ -21,6 +21,63 @@ model-index:
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- name: Accuracy
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type: accuracy
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value: 0.896
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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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- name: Accuracy
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type: accuracy
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value: 0.896
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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: lewtun/dog_food
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type: lewtun/dog_food
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config: lewtun--dog_food
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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: 0.8466666666666667
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.8850127293141284
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.8466666666666667
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.8939157698241645
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.8555113273379528
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.8466666666666667
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.8466666666666667
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.8431399312051647
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.8466666666666667
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.8430272582865614
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verified: true
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- name: loss
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type: loss
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value: 0.3633290231227875
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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: 0.7973101366252381
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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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