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- ### Model description
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- We fine-tuned the bass with LoRA using ORKG/SciQA benchmark for question answering over sholarly knowledge graphs.
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- We tried several training epochs: 3,5,7,10,15,20.
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- The best performance was obtained on 15 epochs, so we pubished this model with 15 epochs.
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- For more details on the evaluation, please check this GitHub repo[FIRESPARQL](https://github.com/sherry-pan/FIRESPARQL)
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  ---
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  license: mit
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  datasets:
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  base_model:
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  - meta-llama/Meta-Llama-3-8B-Instruct
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  pipeline_tag: question-answering
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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  datasets:
 
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  base_model:
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  - meta-llama/Meta-Llama-3-8B-Instruct
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  pipeline_tag: question-answering
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+ ---
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+
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+ ### Model description
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+
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+ We fine-tuned the bass with LoRA using ORKG/SciQA benchmark for question answering over sholarly knowledge graphs.
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+
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+ We tried several training epochs: 3,5,7,10,15,20.
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+ The best performance was obtained on 15 epochs, so we pubished this model with 15 epochs.
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+
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+ For more details on the evaluation, please check this GitHub repo[FIRESPARQL](https://github.com/sherry-pan/FIRESPARQL)