Update README.md

README.md

@@ -14,14 +14,19 @@ What I understand here:
 
 So before (my) initial purpose in comparing which method is better, `llama3 → CP + chat vector → FT` vs. `llama3 → CP → FT + chat vector`, it seems reasonable to compare it with other methods in [Mergekit](https://github.com/arcee-ai/mergekit).
 
-| Model | Merge Method | Score(but what?) |
-|---|---|---|
-| [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview) | chat vector | - |
-| [kuotient/Llama-3-Ko-8B-ties](https://huggingface.co/kuotient/Llama-3-Ko-8B-ties) | Ties | - |
-| [kuotient/Llama-3-Ko-8B-dare-ties](https://huggingface.co/kuotient/Llama-3-Ko-8B-dare-ties) | Dare-ties | - |
+| Model | Method | Kobest(f1) | Haerae(acc) |
+|---|---|---|---|
+| [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview) | chat vector | 0.4368 | 0.439 |
+| [kuotient/Llama-3-Ko-8B-ties](https://huggingface.co/kuotient/Llama-3-Ko-8B-ties) | Ties | 0.4821 | 0.5160 |
+| [kuotient/Llama-3-Ko-8B-dare-ties](https://huggingface.co/kuotient/Llama-3-Ko-8B-dare-ties) | Dare-ties | 0.4950 | 0.5399 |
 | [kuotient/Llama-3-Ko-8B-TA](https://huggingface.co/kuotient/Llama-3-Ko-8B-TA) | Task Arithmetic(maybe...? not sure about this) | - |
 | WIP | Model stock(I don't read this paper yet but still) | - |
 | [kuotient/Llama-3-Ko-8B-EMM](https://huggingface.co/kuotient/Llama-3-Ko-8B-EMM) | Evolutionary Model Merging | - |
+|---|---|---|---|
+| [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) | Base | 0.4368 | 0.439 |
+| [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | - | 0.4239 | 0.4931 |
+| [beomi/Llama-3-Open-Ko-8B](https://huggingface.co/beomi/Llama-3-Open-Ko-8B) | Korean Base | 0.4374 | 0.3813 |
+
 
 All that aside, I'd like to thank @[beomi](https://huggingface.co/beomi) for creating such an awesome korean-based model.