Adam Majczyk


2025

In this paper the winning solution of PolEval 2025 Task 2a is presented. The approach utilizes LoRA fine-tuning of the Qwen3-8B model. Multiple LoRA matrix ranks are explored. Versions with and without the system prompt in loss calculation are evaluated. New SOTA was established at F1=0.6039 beating the previously best model at F1=0.5985. After the task’s conclusion the solution was improved upon and F1=0.6283±0.0056 was achieved.
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