| --- |
| language: |
| - ko |
| base_model: |
| - K-intelligence/Midm-2.0-Base-Instruct |
| --- |
| # Midm-2.0-Base-Instruct Fine-Tuned QA Model |
|
|
| This model is a fine-tuned version of `Midm-2.0-Base-Instruct`, a Korean-understanding open-source LLM. It was specialized for |
| situation-specific Korean question answering and RAG answer explanation. |
|
|
| ## Fine-Tuning Details |
|
|
| - Base model: `Midm-2.0-Base-Instruct` |
| - Task: Situation-specific Korean question answering |
| - Data type: Text |
| - File format: JSON |
| - Training data: 126,740 examples from an open Korean question-answer dataset |
| - Data size: 0.1 GB |
| - Epochs: 1 |
|
|
| ## Evaluation |
|
|
| | Benchmark | Before | After | |
| |-----------------------------| ---: | ---: | |
| | kobest_boolq (macro_f1) | 0.865413 | 0.892661 | |
| | kobest_copa (macro_f1) | 0.790682 | 0.792617 | |
| | kobest_hellaswag (macro_f1) | 0.506787 | 0.511349 | |
| | kobest_sentineg (macro_f1) | 0.636029 | 0.640399 | |
| | nsmc (acc) | 0.626800 | 0.626267 | |
| | pawsx_ko (acc) | 0.589500 | 0.596500 | |
| |
| ## Government R&D Project |
| |
| This software is a result of the following government research and development project: |
| |
| | Item | Details | |
| |------|---------| |
| | Project Name | AI ๊ธฐ๋ฐ ์ค์๊ธฐ์
์
๋ฌด ์๋ํ ๋ฐ ํตํฉ ๊ฒ์ ์๋ฃจ์
| |
| | Project No. | RQT-25-090153 | |
| | Supervisor | ์ ๋ณดํต์ ์ฐ์
์งํฅ์ | |
| | Performer | Proten Co., Ltd. | |
| | R&D Period | 2026.01.01 ~ 2026.06.30 | |