Update README.md

README.md

@@ -17,12 +17,17 @@ pipeline_tag: text-generation
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
+Mistral-7B Instruct — LoRA (ICD-10 labels → codes)
+
+This LoRA adapter fine-tunes mistralai/Mistral-7B-Instruct-v0.3 to map French ICD-10 diagnostic labels (synonyms) to their corresponding codes (dot-less, up to 5 chars).
+
+
 ## Quick start
 
 ```python
 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?"
+question = "Libellé: Antécédent bronchite chronique"
 generator = pipeline("text-generation", model="None", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
@@ -30,10 +35,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
- 
-
-
-This model was trained with SFT.
+It was trained via supervised fine-tuning (QLoRA) on an instruction dataset built from (label, code) pairs (instruct_labels2codes) derived from a curated ICD-10 synonyms table created from the webscrapinng of aideaucodage.fr .
 
 ### Framework versions