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Finetuned Academic Question-Answering Model for ICSE Physics (Class 9 & 10)
This specialized large language model (LLM) is finetuned to provide precise and accurate answers to ICSE Physics questions for Classes 9 and 10. It is designed to assist students, educators, and content creators in understanding and exploring fundamental physics concepts aligned with the ICSE curriculum.

Key Features
Curriculum-Specific Training: Focused exclusively on ICSE Class 9 and 10 Physics topics, such as:
Motion
Work, Energy, and Power
Heat and Thermodynamics
Electricity and Magnetism
Light (Reflection and Refraction)
Sound
Modern Physics
Accurate and Concise Answers: Trained to deliver curriculum-aligned, student-friendly responses.
Contextual Understanding: Handles specific and multi-part questions effectively, ensuring relevance and precision.
Example Usage
python
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from transformers import pipeline

# Load the model from Hugging Face
qa_pipeline = pipeline("question-answering", model="your_model_name")

# Ask a question
data = {
"question": "State the law of reflection and explain its applications.",
"context": "ICSE Physics Class 9"
}
response = qa_pipeline(data)
print(response["answer"])
Training Details
Dataset: Curated ICSE Physics content for Classes 9 and 10, including textbooks, sample papers, and online resources.
Loss Function: Cross-entropy loss
Final Training Loss:
Evaluation Metric:

README.md

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+license: apache-2.0
+base_model:
+- NousResearch/Llama-2-7b-chat-hf
+---