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Add evaluation results on the emotion config and test split of tweet_eval
Browse filesBeep 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).
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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-
-
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-
type: precision
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value: 0.7262254187805659
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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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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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- type: 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
|