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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