Delete eval metrics
Browse files
README.md
CHANGED
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@@ -20,63 +20,6 @@ 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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- 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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- name: Accuracy
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type: accuracy
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value: 0.9837
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.9836633320435293
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.9837
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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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verified: true
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- 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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- 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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- name: Recall Weighted
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type: recall
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value: 0.9837
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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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verified: true
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- 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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value: 0.9836627364250822
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verified: true
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- 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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- 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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