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@@ -5,23 +5,25 @@ datasets:
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  language:
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  - kk
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  metrics:
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- - name: F1 (Before Training)
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- type: F1 Score
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- value: 26.950
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- - name: Exact Match (Before Training)
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- type: Exact Match
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- value: 13.116
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- - name: F1 (After Training)
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- type: F1 Score
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- value: 70.127
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- - name: Exact Match (After Training)
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- type: Exact Match
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- value: 49.740
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  base_model:
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  - FacebookAI/xlm-roberta-large
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  pipeline_tag: question-answering
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  tags:
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  - computerscience
 
 
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  ---
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  # Description
@@ -60,4 +62,4 @@ This model is intended for answering questions in the Kazakh language, with pote
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  - `question-answering`
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  - `Kazakh`
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- This model represents a significant contribution to improving natural language processing tools for low-resource languages like Kazakh. For further details or customization, refer to the model repository.
 
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  language:
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  - kk
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  metrics:
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+ - name: F1 (Before Training)
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+ type: F1 Score
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+ value: 26.95
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+ - name: Exact Match (Before Training)
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+ type: Exact Match
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+ value: 13.116
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+ - name: F1 (After Training)
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+ type: F1 Score
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+ value: 70.127
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+ - name: Exact Match (After Training)
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+ type: Exact Match
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+ value: 49.74
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  base_model:
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  - FacebookAI/xlm-roberta-large
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  pipeline_tag: question-answering
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  tags:
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  - computerscience
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+ new_version: Kundyzka/XLM-Roberta-large-informatics-kaz
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+ library_name: adapter-transformers
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  ---
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  # Description
 
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  - `question-answering`
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  - `Kazakh`
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+ This model represents a significant contribution to improving natural language processing tools for low-resource languages like Kazakh. For further details or customization, refer to the model repository.