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Add evaluation results on the lener_br config and train split of lener_br
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the lener_br config and train split of the [lener_br](https://huggingface.co/datasets/lener_br) dataset by
@Luciano
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-lener_br-lener_br-c186f5-1776861662).\
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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@@ -92,6 +92,35 @@ model-index:
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type: loss
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value: 0.17586557567119598
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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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type: loss
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value: 0.17586557567119598
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verified: true
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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: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9986508230532317
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verified: true
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- name: Precision
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type: precision
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value: 0.9980332928982356
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verified: true
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- name: Recall
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type: recall
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value: 0.998726011303645
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verified: true
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- name: F1
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type: f1
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value: 0.998379531941543
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verified: true
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- name: loss
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type: loss
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value: 0.002737082075327635
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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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