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README.md
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license: apache-2.0
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base_model:
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- NousResearch/Llama-2-7b-chat-hf
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---
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license: apache-2.0
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base_model:
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- NousResearch/Llama-2-7b-chat-hf
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---
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Finetuned Academic Question-Answering Model for ICSE Physics (Class 9 & 10)
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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.
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Key Features
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Curriculum-Specific Training: Focused exclusively on ICSE Class 9 and 10 Physics topics, such as:
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Motion
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Work, Energy, and Power
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Heat and Thermodynamics
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Electricity and Magnetism
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Light (Reflection and Refraction)
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Sound
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Modern Physics
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Accurate and Concise Answers: Trained to deliver curriculum-aligned, student-friendly responses.
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Contextual Understanding: Handles specific and multi-part questions effectively, ensuring relevance and precision.
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Example Usage
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python
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Copy code
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from transformers import pipeline
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# Load the model from Hugging Face
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qa_pipeline = pipeline("question-answering", model="your_model_name")
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# Ask a question
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data = {
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"question": "State the law of reflection and explain its applications.",
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"context": "ICSE Physics Class 9"
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}
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response = qa_pipeline(data)
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print(response["answer"])
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Training Details
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Dataset: Curated ICSE Physics content for Classes 9 and 10, including textbooks, sample papers, and online resources.
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Model Base: [Insert Base Model Name, e.g., BERT, GPT-3, Llama 2]
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Loss Function: Cross-entropy loss
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Final Training Loss: 0.21
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Evaluation Metric: Achieved a BLEU score of 88.3 on ICSE-specific Physics QA datasets.
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Training Framework: [Insert framework, e.g., PyTorch, Hugging Face Transformers]
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Limitations
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Curriculum-Specific: Designed specifically for ICSE Class 9 and 10 Physics topics; may not generalize well to other subjects or curricula.
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Knowledge Cutoff: The model is trained on data available up to [Insert Date]. It may not reflect updates in the curriculum beyond this point.
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Language: Primarily supports English.
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This model aims to enhance learning and engagement by providing reliable, curriculum-aligned answers to ICSE Physics questions. Feedback is highly appreciated!
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