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Add evaluation results on the amazon_polarity config and test split of amazon_polarity
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the amazon_polarity config and test split of the [amazon_polarity](https://huggingface.co/datasets/amazon_polarity) dataset by
@tts
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-amazon_polarity-amazon_polarity-b95081-1665358869).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=amazon_polarity).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=amazon_polarity).
README.md
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@@ -21,6 +21,39 @@ model-index:
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- name: Accuracy
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type: accuracy
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value: 0.94647
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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: 0.94647
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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: amazon_polarity
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type: amazon_polarity
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config: amazon_polarity
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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: 0.9464875
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verified: true
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- name: Precision
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type: precision
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value: 0.9528844934702675
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verified: true
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- name: Recall
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type: recall
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value: 0.939425
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verified: true
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- name: AUC
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type: auc
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value: 0.9863499156250001
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verified: true
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- name: F1
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type: f1
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value: 0.9461068798388619
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verified: true
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- name: loss
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type: loss
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value: 0.2944573760032654
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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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