| 🚀 Qwen2.5-3B Fine-Tuned on BBH (Hyperbaton) - Model Card | |
| 📌 Model Overview | |
| Model Name: Qwen2.5-3B Fine-Tuned on BBH (Hyperbaton) | |
| Base Model: Qwen2.5-3B-Instruct | |
| Fine-Tuned Dataset: BBH (BigBench Hard) - Hyperbaton | |
| Task: Adjective Ordering Classification | |
| Fine-Tuning Objective: Train the model to select the correct English adjective order in a sentence. | |
| 📌 Dataset Information | |
| This model was fine-tuned on the Hyperbaton subset of the BigBench Hard (BBH) dataset. | |
| Dataset characteristics: | |
| Task Type: Correct adjective order classification | |
| Input Format: Two sentence options where one follows the correct adjective order | |
| Target Labels: "A" (correct) or "B" (incorrect) | |
| Example: | |
| Input: | |
| "Which sentence has the correct adjective order? Options: (A) midsize old grey Brazilian sweater (B) midsize grey Brazilian old sweater" | |
| Target: "A" | |
| This dataset evaluates a model’s ability to understand syntactic correctness in English adjective order, which is useful for natural language generation, grammar checking, and language learning applications. |