---
license: mit
datasets:
- orkg/SciQA
language:
- en
metrics:
- bleu
- rouge
- exact_match
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
pipeline_tag: question-answering
---

### Model description

We fine-tuned the bass with LoRA using ORKG/SciQA benchmark for question answering over sholarly knowledge graphs.

We tried several training epochs: 3,5,7,10,15,20.
The best performance was obtained on 15 epochs, so we pubished this model with 15 epochs.

For more details on the evaluation, please check this GitHub repo[FIRESPARQL](https://github.com/sherry-pan/FIRESPARQL)