Model save

README.md

@@ -1,6 +1,5 @@
 ---
 base_model: HuggingFaceTB/SmolLM2-135M-Instruct
-datasets: QuyenAnhDE/Diseases_Symptoms
 library_name: transformers
 model_name: medicalia
 tags:
@@ -12,7 +11,7 @@ licence: license
 
 # Model Card for medicalia
 
-This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the [QuyenAnhDE/Diseases_Symptoms](https://huggingface.co/datasets/QuyenAnhDE/Diseases_Symptoms) dataset.
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -28,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alexandredsb-pro-universit-savoie-mont-blanc/huggingface/runs/c0a07g0o) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alexandredsb-pro-universit-savoie-mont-blanc/huggingface/runs/em5dufak) 
 
 
 This model was trained with SFT.

final_checkpoint/adapter_config.json

@@ -23,10 +23,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "k_proj",
     "o_proj",
-    "v_proj"
+    "v_proj",
+    "k_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

final_checkpoint/training_args.bin

@@ -1,3 +1,3 @@
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