Update README.md

README.md

@@ -25,18 +25,31 @@ For the MNTP Adapter, please refer to [this link](https://huggingface.co/uzabase
 - **Model type:** PEFT
 - **Language(s) (NLP):** Japanese
 - **License:** Apache2.0
-- **Finetuned from model:** [llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
+- **Finetuned from model:** [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 
 ### Model Sources [optional]
 
 - **Repository:**  https://github.com/McGill-NLP/llm2vec
 - **Paper:** https://arxiv.org/abs/2404.05961
 
-## Usage
+# Usage
 
 - Please see [original LLM2Vec repo](https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse#usage)
 
-## Training Details
+# BenchMark
+- Followings are summaries. Details are [here]()
+## MTEB(Japansese)
+
+| | Classification | Clustering | PairClassification | Reranking | BitextMining | Retrieval | Sts | AVG |
+| --- | ---| ---| ---| ---| ---|  ---| ---| ---| ---| ---| ---| ---| ---| ---|
+| |Llama2-Llm2vec-eng | 0.527 | 0.258 | 0.501 | 0.217 | 0.275 | 0.296 | 0.765 | 0.408 |
+| Llama2-Llm2vec-jpn(This repo) | 0.570 | 0.365 | 0.510 | 0.349 | 0.470 | 0.417 | 0.795 | 0.498 |
+| Swallow-Llm2vec-jpn | 0.621 | 0.391 | 0.510 | 0.475 | 0.475 | 0.491 | 0.832 | 0.523 |
+
+## MTEB(English)
+
+
+# Training Details
 
 ### Training Data