Update README.md

Update the explanation of MTBench

README.md

@@ -44,12 +44,14 @@ This repository provides large language models developed by [TokyoTech-LLM](http
 ### MT-Bench JA
 
 We used [Japanese MT-Bench](https://wandb.ai/wandb-japan/llm-leaderboard/artifacts/dataset/mtbench_ja_question) to assess the instruction-following capabilities of models.
-We utilized the following artifacts:
+We utilized the following settings:
 
 - Implemantation: FastChat [Zheng+, 2023] (commit #e86e70d0)
 - Question: [Nejumi LLM-Leaderboard NEO, mtbench_ja_question_v3](https://wandb.ai/wandb-japan/llm-leaderboard/artifacts/dataset/mtbench_ja_question/v3)
 - Reference Answer: [Nejumi LLM-Leaderboard NEO, mtbench_ja_referenceanswer_v1](https://wandb.ai/wandb-japan/llm-leaderboard/artifacts/dataset/mtbench_ja_referenceanswer/v1)
 - Prompt for Judge: [Nejumi LLM-Lederboard NEO, mtbench_ja_prompt_v1](https://wandb.ai/wandb-japan/llm-leaderboard/artifacts/dataset/mtbench_ja_prompt/v1)
+- Judge: `gpt-4-1106-preview`
+- Scoring: Absolute scale normalized to a 0-1 range, averaged over five runs.
 
 
 ## Usage