Update README.md

README.md

@@ -6,7 +6,19 @@ tags:
 model-index:
 - name: janus-7b
   results: []
+license: apache-2.0
+language:
+- en
 ---
+## Links for Reference
+
+- **Homepage: In Progress** 
+- **Repository: https://github.com/kaistAI/Janus** 
+- **Paper:** 
+- **Point of Contact:[email protected]**
+
+# TL; DR
+Janus 7B is a model trained using [Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2) as its base model. Janus 7B has been trained on [Multifaceted Collection](), a preference dataset with 192k combinations of values that go beyond generic helpfulness and harmlessness, spanning 65k user instructions. Janus 7B not only excels at generating personalized responses on [Multifaceted Bench]() that cater to various human preferences but is also adept at producing responses that are generally preferred for being helpful and harmless.
 
 ### Training hyperparameters
 
@@ -25,13 +37,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 10
 - num_epochs: 4
 
-### Training results
-|Model|mf-AlpacaEval|mf-Flask|mf-Koala|mf-MT-Bench|mf-Self-Instruct|Average|
-|-----|-------------|--------|--------|-----------|----------------|-------|
-
 ### Framework versions
 
 - Transformers 4.40.0.dev0
 - Pytorch 2.2.2
 - Datasets 2.18.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0