Upload 2 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Korean-OpenOrca.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -2,7 +2,7 @@
 language:
 - ko
 datasets:
-- kyujinpy/OpenOrca-ko-v2
+- kyujinpy/OpenOrca-ko-v3
 library_name: transformers
 pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
@@ -26,7 +26,7 @@ Github Korean-OpenOrca: [🐳Korean-OpenOrca🐳](https://github.com/Marker-Inc-
 **Base Model**  [hyunseoki/ko-en-llama2-13b](https://huggingface.co/hyunseoki/ko-en-llama2-13b)   
 
 **Training Dataset**  
-I use [OpenOrca-ko-v2](https://huggingface.co/datasets/kyujinpy/OpenOrca-ko-v2).  
+I use [OpenOrca-ko-v3](https://huggingface.co/datasets/kyujinpy/OpenOrca-ko-v3).  
 Using DeepL, translate about [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca).
 
 I use A100 GPU 40GB and COLAB, when trianing.
@@ -35,7 +35,8 @@ I use A100 GPU 40GB and COLAB, when trianing.
 | Model | Average |Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
 | --- | --- | --- | --- | --- | --- | --- |
 | [Korean-OpenOrca-13B🐳] | 48.79 | 43.09 | 54.13 | 40.24 | 45.22 | 61.28 |  
-| Korean-OpenOrca-13B-v2🐳 | 48.17 | 43.17 | 54.51 | 42.90 | 41.82 | 58.44 | 
+| [Korean-OpenOrca-13B-v2🐳] | 48.17 | 43.17 | 54.51 | 42.90 | 41.82 | 58.44 | 
+| Korean-OpenOrca-13B-v3🐳 | 48.86 | 43.77 | 54.30 | 41.79 | 43.85 | 60.57 | 
 
 # Implementation Code
 ```python
@@ -43,7 +44,7 @@ I use A100 GPU 40GB and COLAB, when trianing.
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
-repo = "kyujinpy/Korean-OpenOrca-13B-v2"
+repo = "kyujinpy/Korean-OpenOrca-13B-v3"
 OpenOrca = AutoModelForCausalLM.from_pretrained(
         repo,
         return_dict=True,