Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 - fr
 license: mit
 datasets:
-- UMA-IA/UMA_Dataset_Engine_Aero_LLM
+- UMA-IA/VELA-Engine-v1
 base_model: mistralai/Mistral-7B-v0.1
 tags:
 - aerospace
@@ -17,20 +17,20 @@ pipeline_tag: text-generation
 
 ## Model Details
 
-**Model Name:** UMA-IA/LLM_Engine_Finetuned_Aero 
+**Model Name:** UMA-IA/CENTAURUS-Engine-v1 
 **Authors:**  
 - **Youri LALAIN**, Engineering student at French Engineering School ECE  
 - **Lilian RAGE**, Engineering student at French Engineering School ECE  
 
 **Base Model:** [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)  
-**Fine-tuned Dataset:** [UMA-IA/UMA_Dataset_Engine_Aero_LLM](https://huggingface.co/datasets/UMA-IA/UMA_Dataset_Engine_Aero_LLM)  
+**Fine-tuned Dataset:** [UMA-IA/VELA-Engine-v1](https://huggingface.co/datasets/UMA-IA/UMA_Dataset_Engine_Aero_LLM)  
 **License:** Apache 2.0  
 
 ## Model Description
 
 # Mistral-7B Fine-tuné sur les moteurs aérospatiaux
 
-LLM_Engine_Finetuned_Aero is a specialized fine-tuned version of Mistral-7B designed to provide accurate and detailed answers to technical questions related to aerospace and aeronautical engines. The model leverages the UMA-IA/UMA_Dataset_Engine_Aero_LLM to enhance its understanding of complex engineering principles, propulsion systems, and aerospace technologies.
+UMA-IA/CENTAURUS-Engine-v1 is a specialized fine-tuned version of Mistral-7B designed to provide accurate and detailed answers to technical questions related to aerospace and aeronautical engines. The model leverages the UMA-IA/UMA_Dataset_Engine_Aero_LLM to enhance its understanding of complex engineering principles, propulsion systems, and aerospace technologies.
 
 ## Capabilities
 - Technical Q&A on aerospace and aeronautical engines
@@ -43,7 +43,7 @@ LLM_Engine_Finetuned_Aero is a specialized fine-tuned version of Mistral-7B desi
 - Assisting in aerospace-related R&D projects
 
 ## Training Details
-This model was fine-tuned on UMA-IA/UMA_Dataset_Engine_Aero_LLM, a curated dataset focusing on aerospace engines, propulsion systems, and general aeronautical engineering. The fine-tuning process was performed using supervised learning to adapt Mistral-7B to technical discussions.
+This model was fine-tuned on UMA-IA/VELA-Engine-v1, a curated dataset focusing on aerospace engines, propulsion systems, and general aeronautical engineering. The fine-tuning process was performed using supervised learning to adapt Mistral-7B to technical discussions.
 
 
 ## How to Use
@@ -52,7 +52,7 @@ You can load the model using Hugging Face's `transformers` library:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "UMA-IA/LLM_Engine_Finetuned_Aero"
+model_name = "UMA-IA/CENTAURUS-Engine-v1"
 
 model = AutoModelForCausalLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)