A new public leaderboard has been launched to track wall-clock records for fine-tuning techniques using LoRA on the Qwen2.5-1.5B model. This platform allows users to attempt and verify their fine-tuning runs for accuracy, creating a standardized environment for comparing different methods in real-time.
The newly launched public leaderboard aims to establish a competitive environment for fine-tuning techniques using LoRA on the Qwen2.5-1.5B model. It emphasizes a consistent protocol where timing runs are conducted on identical hardware, allowing for direct comparisons.
Participants can enter their records free of charge and re-verify results using a simple command on a Modal L40S GPU.
The current top record of 6 minutes and 5 seconds was achieved by the user @Saivineeth147, utilizing techniques such as sequence packing and completion-only loss masking over two epochs. This demonstrates not only speed but also improved accuracy compared to previous attempts.
The leaderboard encourages experimentation with LoRA configurations, learning rates, and data subset selections, incentivizing contributors to optimize their fine-tuning processes.
Traditionally, fine-tuning results can lack comparability due to variations in models, datasets, and hardware. This leaderboard aims to address this gap by providing a single frozen task and preventing adversarial experimentation, thereby fostering reproducible results within the machine learning community.
The initiative is positioned similarly to previous projects like the nanoGPT speedrun, which emphasized reproducibility and accurate benchmarking in pretraining contexts.
Users can easily participate by creating a Modal account and following the provided setup instructions to submit their own fine-tuning attempts. Official runs use specified hardware and have a rigorous validation process involving multiple trials to solidify recorded times.
This allows anyone interested to contribute to the evolving landscape of parameter-efficient fine-tuning and compare their techniques against established records.
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A new public leaderboard has been launched to track wall-clock records for fine-tuning techniques using LoRA on the Qwen2.5-1.5B model. This platform allows users to attempt and verify their fine-tuning runs for accuracy, creating a standardized environment for comparing different methods in real-time.