Update README.md

README.md

@@ -4,7 +4,10 @@ license: apache-2.0
 
 ## Model description
 
-TopicNeuralHermes 2.5 Mistral 7B is a Mistral-based fine-tuned model, continuing from OpenHermes 2.5.
+
+TopicNeuralHermes 2.5 Mistral 7B is a refined model developed through fine-tuning with a specific subset of data, selected via Topic Modeling Techniques using [Bunkatopics](https://github.com/charlesdedampierre/BunkaTopics).
+
+continuing from OpenHermes 2.5.
 
 The model was trained on a refined DPO dataset. The objective was to train the model on a small portion of the DPO data. To achieve this, we compared two datasets used to train the reward model: the rejected Llama answers and the accepted ChatGPT answers from the [DPO dataset](mlabonne/chatml_dpo_pairs). 
 We then conducted topic modeling on both datasets, keeping only the topics that existed in the accepted dataset but not in the rejected one. 
@@ -14,8 +17,6 @@ This method allows for quicker convergence with significantly less data (around
 
 Special thanks to [mlabonne](https://huggingface.co/mlabonne) for creating the [colab notebook](https://colab.research.google.com/drive/15iFBr1xWgztXvhrj5I9fBv20c7CFOPBE?usp=sharing#scrollTo=YpdkZsMNylvp) that facilitated the DPO Strategy.
 
-We used [Bunkatopics](https://github.com/charlesdedampierre/BunkaTopics) to implement the topic modeling methods.
-
 
 ## Topic Analysis