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README.md
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language:
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- kk
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metrics:
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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
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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.
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