Model Overview

Hyeongwon/PS_only_answer_Qwen3-4B-Base_0328-01-1e-5 is a specialized language model developed by Hyeongwon. It is a fine-tuned iteration of the Hyeongwon/Qwen3-4B-Base model, leveraging the TRL (Transformer Reinforcement Learning) framework for its training. The model's name suggests an optimization for direct answer generation, making it suitable for specific question-answering tasks.

Training Details

This model was trained using Supervised Fine-Tuning (SFT). The training procedure utilized the following framework versions:

• TRL: 0.25.1
• Transformers: 4.57.3
• Pytorch: 2.6.0
• Datasets: 3.6.0
• Tokenizers: 0.22.2

Further details on the training run can be visualized via Weights & Biases, as linked in the original model card.

Intended Use

Given its fine-tuned nature and naming convention, this model is primarily intended for use cases where a direct and focused answer is required, rather than open-ended generation. Developers can integrate it using the Hugging Face transformers pipeline for text generation tasks.