Model save

README.md

@@ -1,8 +1,7 @@
 ---
-base_model: Qwen/Qwen3-0.6B-Base
-datasets: youssefbelghmi/MNLP_M3_mcqa_dataset
+base_model: youssefbelghmi/MNLP_M3_mcqa_model
 library_name: transformers
-model_name: MNLP_M3_mcqa_small_model
+model_name: MNLP_M3_rag_model
 tags:
 - generated_from_trainer
 - trl
@@ -10,9 +9,9 @@ tags:
 licence: license
 ---
 
-# Model Card for MNLP_M3_mcqa_small_model
+# Model Card for MNLP_M3_rag_model
 
-This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base) on the [youssefbelghmi/MNLP_M3_mcqa_dataset](https://huggingface.co/datasets/youssefbelghmi/MNLP_M3_mcqa_dataset) dataset.
+This model is a fine-tuned version of [youssefbelghmi/MNLP_M3_mcqa_model](https://huggingface.co/youssefbelghmi/MNLP_M3_mcqa_model).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -21,7 +20,7 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 from transformers import pipeline
 
 question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="Lebossoti/MNLP_M3_mcqa_small_model", device="cuda")
+generator = pipeline("text-generation", model="Lebossoti/MNLP_M3_rag_model", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```