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DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs

Model Information

This model is a fine-tuned semantic parsing LLM agent for KGQA. We fine-tune the llama-2-7B on our curated reasoning trajectory https://huggingface.co/datasets/UKPLab/dara.

Model Usage

from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(
                "UKPLab/dara-llama-2-7b",
                torch_dtype=torch.float16,
                device_map="auto",
                cache_dir = "cache"
            )

For more information, please check the repository https://github.com/UKPLab/acl2024-DARA

Hyperparameters

  • Learning rate: 2e-5
  • Batch size: 4
  • Training epochs: 10
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Dataset used to train UKPLab/dara-llama-2-7b