Update README.md (#3)

- Update README.md (28373e42b738a3df105f750ca10597d038993f37)


Co-authored-by: Taekyoon Ted Choi <Taekyoon@users.noreply.huggingface.co>

README.md

@@ -20,7 +20,7 @@ tags:
 **Original Gemma Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
 
 This model card corresponds to the 7B base version of the **Gemma-Mling** model,
-continual pretrained on Korean/English/Chinese/Japanese corpus.
+continual pretrained on mainly Korean/English/Chinese/Japanese + 500 multilingual corpus.
 
 **Resources and Technical Documentation**:
 
@@ -96,6 +96,20 @@ Details about the model internals.
 
 Training was done using [beomi/Gemma-EasyLM](https://github.com/Beomi/Gemma-EasyLM).
 
+### Dataset
+
+We trained a mixture of multiple language datasets and trained until 100B.
+The released model is the best performance model based on our Evaluation below from model checkpoints.
+
+For Korean and English datasets, we utilized sampled llama2ko training dataset which combined 1:1 ratio in each language.
+
+| Dataset                  | Jsonl (GB) | Sampled |
+|--------------------------|------------|---------|
+| range3/cc100-ja          | 96.39      | No      |
+| Skywork/SkyPile-150B     | 100.57     | Yes     |
+| llama2ko dataset (ko/en) | 108.5      | Yes     |
+| cis-lmu/Glot500          | 181.24     | No      |
+| Total                    | 486.7      | .       |
 
 ## Evaluation