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  ---
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  language:
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- - de
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  datasets:
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  - wikiann
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  metrics:
@@ -21,16 +21,16 @@ model-index:
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  metrics:
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  - name: precision
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  type: precision
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- value: 0.897455896007428
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  - name: recall
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  type: recall
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- value: 0.9110239782838184
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  - name: f1
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  type: f1
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- value: 0.9041890400194579
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  - name: accuracy
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  type: accuracy
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- value: 0.9469021183725079
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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
@@ -40,10 +40,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [jplu/tf-camembert-base](https://huggingface.co/jplu/tf-camembert-base) on the wikiann dataset.
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  It achieves the following results on the evaluation set:
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- - precision: 0.8975
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- - recall: 0.9110
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- - f1: 0.9042
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- - accuracy: 0.9469
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  ## Model description
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  ---
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  language:
3
+ - fr
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  datasets:
5
  - wikiann
6
  metrics:
 
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  metrics:
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  - name: precision
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  type: precision
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+ value: 0.897994120055078
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  - name: recall
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  type: recall
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+ value: 0.9097421203438395
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  - name: f1
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  type: f1
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+ value: 0.9038299466242158
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  - name: accuracy
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  type: accuracy
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+ value: 0.9464171271196716
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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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  This model is a fine-tuned version of [jplu/tf-camembert-base](https://huggingface.co/jplu/tf-camembert-base) on the wikiann dataset.
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  It achieves the following results on the evaluation set:
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+ - precision: 0.8980
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+ - recall: 0.9097
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+ - f1: 0.9038
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+ - accuracy: 0.9464
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  ## Model description
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