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--- |
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license: mit |
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datasets: |
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- sweatSmile/neet-biology-qa |
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language: |
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- en |
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base_model: |
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- distilbert/distilbert-base-uncased |
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pipeline_tag: question-answering |
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library_name: transformers |
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tags: |
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- neet |
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- biology |
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- exam |
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- bio |
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--- |
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DistilBERT NEET Biology MCQ Classifier (NEET_BioBERT) |
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This model is a fine-tuned version of DistilBERT (base uncased) specifically trained to classify the correct option for NEET-style multiple-choice biology questions. It selects the best answer among four choices (A, B, C, D). |
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Training Data |
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Source: sweatSmile / NEET Biology QA Dataset |
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Domain: NEET (Undergraduate Medical Entrance Exam) – Biology |
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Format: Each question has 4 options with one correct answer |
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Dataset Size: 793 questions |
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Split: 80% train / 20% validation |
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Training Configuration |
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Base Model: distilbert-base-uncased |
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Epochs: 10 |
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Batch Size: 4 |
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Learning Rate: 5e-5 |
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Weight Decay: 0.01 |
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Task Type: Multiple Choice Classification |
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Results |
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Validation Accuracy 72.96% (~73%) |
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Final Training Loss ~0.35 |
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Limitations |
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Trained on a relatively small dataset (793 questions). |
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Limited to NEET-level biology content; not suitable for physics or chemistry. |
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Does not support: |
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Assertion-reasoning questions |
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Diagram-based questions |
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Paragraph/Case study type questions |
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Intended Use |
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Educational Research |
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AI-powered NEET Biology assistants |
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MCQ practice evaluation |
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Baseline model for future fine-tuning with larger datasets |
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NOTE: |
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Not recommended as a final exam-ready solution without further fine-tuning and validation. |
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License: MIT |
