Upload README.md

README.md

@@ -2,12 +2,12 @@
 language:
 - en
 datasets:
-- argilla/distilabel-math-preference-dpo
+- Intel/orca_dpo_pairs
 pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
 ---
 
-# **Sakura-SOLAR-Instruct-DPO-v2**  
+# **Sakura-SOLRCA-Instruct-DPO**  
 <img src='./sakura.png' width=512>
   
 **(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
@@ -18,7 +18,7 @@ license: cc-by-nc-sa-4.0
 
 **Method**  
 Using DPO method.  
-With [argilla/distilabel-math-preference-dpo](https://huggingface.co/datasets/argilla/distilabel-math-preference-dpo). 
+With [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs). 
      
 I shared the information about my model. (training and code)  
 Please see: ⭐[Sakura-SOLAR](https://github.com/KyujinHan/Sakura-SOLAR-DPO).  
@@ -30,18 +30,19 @@ Please see: ⭐[Sakura-SOLAR](https://github.com/KyujinHan/Sakura-SOLAR-DPO).
 
 | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
 | --- | --- | --- | --- | --- | --- | --- | --- |
+| Sakura-SOLRCA-Instruct-DPO | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
 | Sakura-SOLAR-Instruct-DPO-v2 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
 | Sakura-SOLAR-Instruct-DPO-v1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
 | [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct) | 74.40 | 70.99 | 88.42 | 66.33 | 71.79 | 83.66 | 65.20
-  
-     
+
+   
 # Implementation Code
 ```python
 ### KO-Platypus
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
-repo = "kyujinpy/Sakura-SOLAR-Instruct-DPO-v2"
+repo = "kyujinpy/Sakura-SOLRCA-Instruct-DPO"
 OpenOrca = AutoModelForCausalLM.from_pretrained(
         repo,
         return_dict=True,