| 🚀 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. | |