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@@ -8,8 +8,10 @@ metrics:
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  - recall
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  - f1
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  - accuracy
 
 
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  model-index:
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- - name: bertoslav
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  results:
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  - task:
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  name: Token Classification
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  value: 0.9700235061239639
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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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- should probably proofread and complete it, then remove this comment. -->
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- # bertoslav
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-
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- This model is a fine-tuned version of [crabz/bertoslav-limited](https://huggingface.co/crabz/bertoslav-limited) on the wikiann sk dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2119
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  - Precision: 0.8986
@@ -46,18 +45,6 @@ It achieves the following results on the evaluation set:
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  - F1: 0.9079
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  - Accuracy: 0.9700
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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  ## Training procedure
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  ### Training hyperparameters
 
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  - recall
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  - f1
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  - accuracy
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+ language:
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+ - sk
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  model-index:
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+ - name: bertoslav-limited-ner
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  results:
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  - task:
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  name: Token Classification
 
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  value: 0.9700235061239639
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  ---
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+ # Named Entity Recognition based on bertoslav-limited
 
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+ This model is a fine-tuned version of [crabz/bertoslav-limited](https://huggingface.co/crabz/bertoslav-limited) on the Slovak wikiann dataset.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2119
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  - Precision: 0.8986
 
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  - F1: 0.9079
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  - Accuracy: 0.9700
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  ## Training procedure
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  ### Training hyperparameters