馃 DeBERTa-NCERT-Biology-QA
This model is a fine-tuned version of microsoft/deberta-v3-small on a chunk of the NCERT Class 11 Biology dataset. It is trained for extractive question answering (QA) and is designed to answer questions from biology chapters taught in Indian education curriculum.
馃摎 Dataset
The dataset was created from the official NCERT Class 11 Biology book, specifically:
- Chunk Range:
chunk_3000tochunk_3143 - Data Format: CSV with context-question-answer triplets
- Task: Extractive QA (start & end position of answer in context)
鈿欙笍 Model Details
- Base Model:
microsoft/deberta-v3-small - Task:
question-answering - Tokenizer: SentencePiece (spm.model) with custom vocabulary
- Framework: 馃 Transformers + PyTorch
- Optimized For: Low-resource devices (OpenVINO conversion available)
馃搱 Performance
| Metric | Value |
|---|---|
| Exact Match (EM) | 87.5% |
| F1 Score | 91.2% |
| Avg Confidence | ~0.99 after fine-tuning |
| Loss Trend | Decreasing steadily from 1.6 to 0.3 |
| Epochs | 2 |
馃煝 Confidence before training: ~0.006
馃煝 Confidence after training: ~0.99
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