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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 @[email protected], using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-conll2003-conll2003-df31a4-1679759345).\
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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---
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language:
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- en
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tags:
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- token-classification
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- conll2003
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metrics:
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- Accuracy, F1 Score, Precision, Recall
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---
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# Electra Base Discriminator conll03 English
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---
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language:
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- en
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tags:
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- token-classification
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- conll2003
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metrics:
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- Accuracy, F1 Score, Precision, Recall
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model-index:
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- name: bhadresh-savani/electra-base-discriminator-finetuned-conll03-english
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results:
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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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- name: Accuracy
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type: accuracy
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value: 0.9397659001450176
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verified: true
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- name: Precision
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type: precision
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value: 0.9492206245667668
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verified: true
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- name: Recall
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type: recall
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value: 0.9468813162653806
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verified: true
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- name: F1
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type: f1
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value: 0.9480495273598721
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verified: true
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- name: loss
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type: loss
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value: 0.3468747138977051
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verified: true
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---
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# Electra Base Discriminator conll03 English
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