Add pipeline tag to model card

This PR improves the model card by adding the `pipeline_tag: text-generation` to the metadata, ensuring the model appears in relevant searches on the Hugging Face Hub (https://huggingface.co/models?pipeline_tag=text-generation).

README.md

@@ -1,15 +1,16 @@
 ---
 base_model: unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
-library_name: peft
-license: apache-2.0
 datasets:
 - openai/gsm8k
 - HuggingFaceH4/MATH-500
 - HuggingFaceH4/aime_2024
 language:
 - en
+library_name: peft
+license: apache-2.0
 metrics:
 - accuracy
+pipeline_tag: text-generation
 ---
 
 ## MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs
@@ -52,7 +53,7 @@ model = PeftModel.from_pretrained(base_model, "purbeshmitra/MOTIF")
 SYSTEM_PROMPT = "You are a helpful assistant. When the user asks a question, you solve it in 3 rounds. In each round, you first think about the reasoning process of answering and then provide the user with a detailed progress about it. The reasoning process and the progress are enclosed within <reasoning> </reasoning> and <answer> </answer> tags, respectively. Therefore, you follow the strict format:
 <reasoning> reasoning process here </reasoning> <answer> detailed progress here </answer>
 
-The User provides this detailed progress as additional context in the next round. You then respond again with further thinking and further progress. When the User says that the current round is the final (third) round, you provide an answer inside the answer tags. You also enclose a final answer in third round in the box: \boxed{}. Only this boxed final answer is used for evaluation."
+The User provides this detailed progress as additional context in the next round. You then respond again with further thinking and further progress. When the User says that the current round is the final (third) round, you provide an answer inside the answer tags. You also enclose a final answer in third round in the box: \\boxed{}. Only this boxed final answer is used for evaluation."
 ```
 
 ## Citation