Add evaluation results on the conll2003 config and test split of conll2003
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Your model has been evaluated on the conll2003 config and test split of the [conll2003](https://huggingface.co/datasets/conll2003) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-conll2003-conll2003-bc26c9-1485554292).\
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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@@ -32,6 +32,35 @@ model-index:
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- name: Accuracy
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type: accuracy
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value: 0.9907182964622135
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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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- name: Accuracy
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type: accuracy
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value: 0.9907182964622135
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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: 0.9108823919384779
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verified: true
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- name: Precision
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type: precision
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value: 0.9308372971460548
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verified: true
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- name: Recall
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type: recall
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value: 0.9213792387183881
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verified: true
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- name: F1
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type: f1
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value: 0.9260841198729938
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verified: true
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- name: loss
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type: loss
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value: 0.8661637306213379
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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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