Hyeongwon/PS_only_answer_Qwen3-4B-Base_0328-01-1e-5
Hyeongwon/PS_only_answer_Qwen3-4B-Base_0328-01-1e-5 is a fine-tuned version of the Hyeongwon/Qwen3-4B-Base model, developed by Hyeongwon. This model has been specifically trained using Supervised Fine-Tuning (SFT) with the TRL framework. It is designed to provide direct answers, as indicated by its name, and is suitable for tasks requiring focused response generation from a base Qwen3-4B architecture.
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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.