Model save

README.md

@@ -1,15 +1,15 @@
 ---
 base_model: Qwen/Qwen3-0.6B
 library_name: transformers
-model_name: reward
+model_name: sft
 tags:
 - generated_from_trainer
 - trl
-- reward-trainer
+- sft
 licence: license
 ---
 
-# Model Card for reward
+# Model Card for sft
 
 This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -20,17 +20,17 @@ 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="SaminSkyfall/reward", device="cuda")
+generator = pipeline("text-generation", model="SaminSkyfall/sft", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 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/samin-skyfall-ai/huggingface/runs/jjqlknpu) 
+[<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/samin-skyfall-ai/huggingface/runs/mp2iuoa0) 
 
 
-This model was trained with Reward.
+This model was trained with SFT.
 
 ### Framework versions