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Add evaluation results on the conll2003 config and test split of conll2003
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the conll2003 config and test split of the [conll2003](https://huggingface.co/datasets/conll2003) dataset by
@alvarobartt
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-conll2003-conll2003-fb14e9-48103145236).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=conll2003).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=conll2003).
README.md
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@@ -35,6 +35,45 @@ model-index:
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- type: accuracy
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value: 0.984782480720551
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name: 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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- type: accuracy
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value: 0.984782480720551
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name: Accuracy
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+
- task:
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type: token-classification
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name: Token Classification
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dataset:
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name: conll2003
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type: conll2003
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config: conll2003
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split: test
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metrics:
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- type: accuracy
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value: 0.8975276153858275
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name: Accuracy
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verified: true
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- type: precision
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value: 0.9258126323573902
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name: Precision
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verified: true
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- type: recall
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value: 0.9132871306827602
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name: Recall
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verified: true
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- type: auc
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value: NaN
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name: AUC
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verified: true
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value: 0.9195072279905185
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name: F1
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verified: true
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- type: loss
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value: 0.8574212193489075
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name: loss
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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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