Create README.md

README.md

@@ -0,0 +1,23 @@
+🚀 Qwen2.5-3B Fine-Tuned on BBH (Dyck Languages) - Model Card
+📌 Model Overview
+Model Name: Qwen2.5-3B Fine-Tuned on BBH (Dyck Languages)
+Base Model: Qwen2.5-3B-Instruct
+Fine-Tuned Dataset: BBH (BigBench Hard) - Dyck Languages
+Task: Causal Language Modeling (CLM)
+Fine-Tuning Objective: Improve performance on Dyck language sequence completion (correctly closing nested parentheses and brackets)
+📌 Dataset Information
+This model was fine-tuned on the Dyck Languages subset of the BigBench Hard (BBH) dataset.
+
+Dataset characteristics:
+
+Task Type: Sequence completion of balanced parentheses
+Input Format: A sequence of open parentheses, brackets, or braces with missing closing elements
+Target Labels: The correct sequence of closing parentheses, brackets, or braces
+Example:
+
+Input: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [
+
+Target: ] ]
+
+This dataset evaluates a model’s ability to correctly complete structured sequences, which is crucial for programming language syntax, formal language understanding, and symbolic reasoning.
+