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README.md
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---
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language:
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- en
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tags:
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- retrieval-augmented-learning
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- question-answering
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- fine-tuning
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- transformers
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- llm
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license: mit
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datasets:
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- pubmedqa
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- hotpotqa
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- gorilla
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library_name: transformers
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model-index:
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- name: RAFT-QA
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results:
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- task:
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type: question-answering
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name: Open-Domain Question Answering
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dataset:
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name: PubMedQA
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type: question-answering
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metrics:
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- name: Exact Match (EM)
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type: exact_match
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value: 79.3
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- name: F1 Score
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type: f1
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value: 87.1
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---
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---
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language:
|
|
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- en
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|
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4 |
tags:
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- retrieval-augmented-learning
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- question-answering
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- fine-tuning
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- transformers
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- llm
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license: mit
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datasets:
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- pubmedqa
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- hotpotqa
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- gorilla
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library_name: transformers
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model-index:
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- name: RAFT-QA
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results:
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- task:
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type: question-answering
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name: Open-Domain Question Answering
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dataset:
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name: PubMedQA
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type: question-answering
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metrics:
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- name: Exact Match (EM)
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type: exact_match
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value: 79.3
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- name: F1 Score
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type: f1
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value: 87.1
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title: RAFT-QA
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sdk: gradio
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emoji: 💻
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colorFrom: purple
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colorTo: gray
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pinned: true
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thumbnail: >-
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https://cdn-uploads.huggingface.co/production/uploads/67c714e90b99a2332e310979/TrWTI_vofjfGgx4PILFY3.jpeg
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short_description: Retrieval-Augmented Fine-Tuning for Question Answering
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---
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