autoevaluator HF staff commited on
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Add evaluation results on the emotion config and test split of tweet_eval

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the emotion config and test split of the [tweet_eval](https://huggingface.co/datasets/tweet_eval) dataset by

@Lenague

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-tweet_eval-emotion-cb9f8a-66323145584).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=tweet_eval).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=tweet_eval).

Files changed (1) hide show
  1. README.md +69 -5
README.md CHANGED
@@ -11,19 +11,83 @@ model-index:
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  - name: bert-emotion
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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: tweet_eval
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  type: tweet_eval
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  args: emotion
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.7262254187805659
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- - name: Recall
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- type: recall
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  value: 0.725549671319356
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: bert-emotion
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  results:
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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: tweet_eval
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  type: tweet_eval
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  args: emotion
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  metrics:
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+ - type: precision
 
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  value: 0.7262254187805659
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+ name: Precision
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+ - type: recall
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  value: 0.725549671319356
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+ name: Recall
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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: tweet_eval
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+ type: tweet_eval
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+ config: emotion
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+ split: test
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+ metrics:
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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