ARC-Tune — ARC-AGI LLM Fine-Tuning
Fine-tuning an open-source LLM on an augmented ARC-AGI dataset with LoRA
Dataset#
The ARC-AGI dataset is augmented and transformed into a supervised training dataset suitable for fine-tuning an open-source language model.
Training#
The model is fine-tuned with PyTorch and LoRA, with hyperparameter tuning used to compare training configurations and resulting model performance.
last updated 2026.08.08
shipped
Timeline
2024
Source
github.com/senemogluc/pytorch-llm-finetuning-and-data-augmentationStack
PythonPyTorchLoRA
Topics
Fine-TuningReasoning
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