Add evaluation results on the default config of emotion
#26
by autoevaluator HF Staff - opened
README.md
CHANGED
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@@ -6,6 +6,77 @@ datasets:
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- emotion
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metrics:
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- accuracy
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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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- emotion
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metrics:
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- accuracy
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+
model-index:
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- name: multi-class-classification
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: emotion
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type: emotion
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.928
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: emotion
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type: emotion
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config: default
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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: 0.9185
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.8738350796775306
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.9185
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.9179425177997311
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.8650962919021573
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.9185
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.9185
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.8692821860210945
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.9185
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.9181177508591364
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verified: true
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- name: loss
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type: loss
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value: 0.20906145870685577
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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: 0.8920254536671932
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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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