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I'll help you create a comprehensive model card for your Llama-3B-QA-Enhanced model. I'll edit the template to include relevant information about your question-answering model.
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```yaml
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---
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license: apache-2.0
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datasets:
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- rajpurkar/squad
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- ehovy/race
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language:
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- en
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metrics:
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- accuracy
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- bleu
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- rouge
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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tags:
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---
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# Model Card for Llama-3B-QA-Enhanced
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This model is a fine-tuned version of Llama 3B, optimized for generating high-quality multiple-choice questions (MCQs) from input text. It combines the powerful language understanding capabilities of Llama with specialized training for educational content generation.
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## Model Details
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---
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language:
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- en
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license: apache-2.0
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datasets:
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- rajpurkar/squad
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- ehovy/race
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metrics:
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- accuracy
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- bleu
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- rouge
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base_model: meta-llama/Llama-3.2-3B-Instruct
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pipeline_tag: question-answering
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tags:
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- qa
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- llm
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- exam
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- multiple-choice
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model-index:
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- name: Llama-3B-QA-Enhanced
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results:
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- task:
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type: question-answering
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name: Multiple Choice Question Generation
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dataset:
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name: RACE
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type: ehovy/race
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metrics:
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- name: accuracy
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type: accuracy
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value: 0.85 # Replace with actual value
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- name: bleu
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type: bleu
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value: 0.76 # Replace with actual value
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- name: rouge
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type: rouge
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value: 0.82 # Replace with actual value
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---
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# Model Card for Llama-3B-QA-Enhanced
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# Model Card for Llama-3B-QA-Enhanced
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This model is a fine-tuned version of Llama 3B, optimized for generating high-quality multiple-choice questions (MCQs) from input text. It combines the powerful language understanding capabilities of Llama with specialized training for educational content generation.
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## Model Details
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