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Add evaluation results on lener_br dataset

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Beep 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-7664951).\
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).

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  1. README.md +33 -1
README.md CHANGED
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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:
@@ -25,6 +25,38 @@ model_index:
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  name: Accuracy
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  type: accuracy
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  value: 0.9801301293674859
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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:
3
  - 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: 0.9801301293674859
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+ model-index:
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+ - name: Luciano/bertimbau-large-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: 0.9840898731012984
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+ verified: true
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+ - name: Precision
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+ type: precision
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+ value: 0.9895415357344292
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+ verified: true
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+ - name: Recall
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+ type: recall
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+ value: 0.9885856878370763
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+ verified: true
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+ - name: F1
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+ type: f1
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+ value: 0.9890633808488363
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.10151929408311844
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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