Add evaluation results on lener_br dataset
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [lener_br](https://huggingface.co./datasets/lener_br) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-staging-eval-project-0b0f26eb-7664950).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=lener_br).\
Evaluate your model on more datasets [here](https://huggingface.co./spaces/autoevaluate/model-evaluator?dataset=lener_br).
README.md
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---
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language:
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- pt
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license: mit
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tags:
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name: Accuracy
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type: accuracy
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value: 0.9692504609383333
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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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---
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language:
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- pt
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license: mit
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tags:
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name: Accuracy
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type: accuracy
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value: 0.9692504609383333
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model-index:
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- name: Luciano/bertimbau-base-lener_br
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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: lener_br
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type: lener_br
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config: lener_br
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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: 0.9824282794418222
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verified: true
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- name: Precision
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type: precision
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value: 0.9877557596262284
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verified: true
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- name: Recall
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type: recall
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value: 0.9870401674313772
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verified: true
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- name: F1
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type: f1
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value: 0.9873978338768773
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verified: true
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- name: loss
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type: loss
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value: 0.11542011797428131
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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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