Add evaluation results on the default config and test split of emotion
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and test split of the [emotion](https://huggingface.co/datasets/emotion) dataset by
@morenolq
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-emotion-default-2be497-1508254837).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=emotion).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=emotion).
README.md
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@@ -30,6 +30,59 @@ model-index:
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type: accuracy
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value: 0.9235
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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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type: accuracy
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value: 0.9235
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verified: true
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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: 0.9235
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.89608475565062
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.9235
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.9224273416855945
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.8581097243584549
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.9235
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.9235
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.8746813002250796
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.9235
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.9217456925724525
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verified: true
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- name: loss
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type: loss
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value: 0.32714536786079407
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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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