Upload README.md

README.md

@@ -32,7 +32,8 @@ Same as [KO-Platypus2](https://github.com/Marker-Inc-Korea/CoT-llama2).
 **Training Dataset**  
 I use [KOpen-platypus dataset](https://huggingface.co/datasets/kyujinpy/KOpen-platypus).   
 I use A100 GPU 40GB and COLAB, when trianing.  
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+  
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 # **Model Bechmark1**
 
 ## KO-LLM leaderboard
@@ -64,7 +65,7 @@ I use A100 GPU 40GB and COLAB, when trianing.
 | [Llama-2-Ko-7b 40B](https://huggingface.co/beomi/llama-2-ko-7b) | 0.7436 | 0.7927 | 0.8037 | 0.8259 | 
 | [KO-platypus2-7B-EX](https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex) | 0.7509 | 0.7899 | 0.8029 | 0.8290 |  
 | [KoT-platypus2-7B](https://huggingface.co/kyujinpy/KoT-platypus2-7B) | 0.7517 | 0.7868 | 0.8009 | 0.8239 |   
-| **Poly-platypus-ko-12.8b(ours)** | 0.7876 | 0.8099 | NaN | NaN |   
+| **Poly-platypus-ko-12.8b(ours)** | 0.7876 | 0.8099 | 0.8008 | 0.8239 |   
    
 > Natural Language Inference (NLI; 자연어 추론 평가)
 ### HellaSwag (F1)
@@ -76,7 +77,7 @@ I use A100 GPU 40GB and COLAB, when trianing.
 | [Llama-2-Ko-7b 40B](https://huggingface.co/beomi/llama-2-ko-7b) | 0.4562 | 0.4657 | 0.4698 | 0.4774 |
 | [KO-platypus2-7B-EX](https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex) | 0.4571 | 0.4461 | 0.4371 | 0.4525 |  
 | [KoT-platypus2-7B](https://huggingface.co/kyujinpy/KoT-platypus2-7B) | 0.4432 | 0.4382 | 0.4550 | 0.4534 | 
-| **Poly-platypus-ko-12.8b(ours)** | 0.4838 | 0.4858 | NaN | NaN |   
+| **Poly-platypus-ko-12.8b(ours)** | 0.4838 | 0.4858 | 0.5005 | 0.5062 |   
   
 > Question Answering (QA)
 ### BoolQ (F1)
@@ -88,7 +89,7 @@ I use A100 GPU 40GB and COLAB, when trianing.
 | [Llama-2-Ko-7b 40B](https://huggingface.co/beomi/llama-2-ko-7b) | 0.5786 | 0.6977 | 0.7084 | 0.7144 |
 | [KO-platypus2-7B-EX](https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex) | 0.6028 | 0.6979 | 0.7016 | 0.6988 |  
 | [KoT-platypus2-7B](https://huggingface.co/kyujinpy/KoT-platypus2-7B) | 0.6142 | 0.6757 | 0.6839 | 0.6878 | 
-| **Poly-platypus-ko-12.8b(ours)** | 0.4888 | 0.6520 | NaN | NaN |   
+| **Poly-platypus-ko-12.8b(ours)** | 0.4888 | 0.6520 | 0.6568 | 0.6835 |   
 
 > Classification
 ### SentiNeg (F1)
@@ -100,7 +101,7 @@ I use A100 GPU 40GB and COLAB, when trianing.
 | [Llama-2-Ko-7b 40B](https://huggingface.co/beomi/llama-2-ko-7b) | 0.4594 | 0.7611 | 0.7276 | 0.9370 |
 | [KO-platypus2-7B-EX](https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex) | 0.5821 | 0.7653 | 0.7991 | 0.8643 |  
 | [KoT-platypus2-7B](https://huggingface.co/kyujinpy/KoT-platypus2-7B) | 0.6127 | 0.7199 | 0.7531 | 0.8381 | 
-| **Poly-platypus-ko-12.8b(ours)** | 0.8490 | 0.9597 | NaN | NaN |   
+| **Poly-platypus-ko-12.8b(ours)** | 0.8490 | 0.9597 | 0.9723 | 0.9847 |   
   
 # Implementation Code
 ```python