Upload fine-tuned model and tokenizer

README.md

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-base_model: model
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
 library_name: peft
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-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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+# DeepSeek-R1-Distill-Qwen-1.5B Fine-Tuned on Physics
 
+This repository contains a fine-tuned version of the DeepSeek-R1-Distill-Qwen-1.5B base model, adapted specifically for answering physics-related questions with detailed, step-by-step chain-of-thought reasoning. The model has been fine-tuned using Parameter-Efficient Fine-Tuning (PEFT) with LoRA and 4-bit quantization to reduce memory usage while maintaining performance in the physics domain.
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
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+The model is specialized for physics tasks through fine-tuning on three curated datasets:
+- **camel_physics:** Educational examples with structured prompts and chain-of-thought reasoning.
+- **arxiv_physics:** Research-level questions and scholarly excerpts from physics papers.
+- **alpaca_physics:** Instruction-based conversational examples in physics.
 
+Fine-tuning was performed using PEFT techniques (LoRA) combined with 4-bit quantization. This configuration enables the model to generate comprehensive and contextually accurate explanations for complex physics problems.
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** Your Organization or Name
+- **Funded by:** [Funding Source, if applicable]
+- **Shared by:** Your Organization or Name
+- **Model type:** Transformer-based causal language model, fine-tuned with PEFT (LoRA)
+- **Language(s):** English
+- **License:** [Specify License, e.g., Apache-2.0 or MIT]
+- **Finetuned from model:** deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
 
-### Model Sources [optional]
+### Model Sources
 
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** [Link to the model repository on Hugging Face]
+- **Paper:** [Link to any associated paper or blog post]
+- **Demo:** [Link to a demo, if available]
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+This model can be used to:
+- Answer physics-related questions.
+- Generate detailed explanations and step-by-step chain-of-thought reasoning for physics problems.
+- Serve as an educational tool for physics and mathematics learners.
 
-[More Information Needed]
+### Downstream Use
 
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
+The model can be integrated into:
+- Educational platforms and tutoring applications.
+- Research assistance tools in physics.
+- Chatbots and virtual assistants with a scientific focus.
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
+The model is not intended for:
+- Domains outside of physics, where domain-specific knowledge is critical.
+- High-stakes applications without human verification.
+- Use cases requiring generation in languages other than English.
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+- **Bias:** The model is fine-tuned on curated physics datasets and may reflect biases inherent in that data.
+- **Risks:** Inaccurate or oversimplified explanations may be generated, especially for advanced or niche physics topics. Users should verify outputs.
+- **Limitations:** The model's knowledge is limited to the physics topics covered in the training data and may not generalize to emerging or unconventional topics.
 
 ### Recommendations
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+Users should:
+- Verify the generated content for accuracy, particularly in educational or research contexts.
+- Use the model as a supportive tool rather than a standalone source.
+- Be aware of its domain-specific training and adjust expectations accordingly.
 
 ## How to Get Started with the Model
 
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-[More Information Needed]
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-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
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-### Testing Data, Factors & Metrics
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-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
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-[More Information Needed]
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-[More Information Needed]
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-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-[More Information Needed]
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-### Results
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-[More Information Needed]
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-#### Summary
-
-
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-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
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-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
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-## Technical Specifications [optional]
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-### Model Architecture and Objective
-
-[More Information Needed]
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-### Compute Infrastructure
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-[More Information Needed]
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-#### Hardware
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-[More Information Needed]
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-#### Software
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-[More Information Needed]
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-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
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-[More Information Needed]
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-**APA:**
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-[More Information Needed]
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-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
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-## More Information [optional]
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-[More Information Needed]
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-## Model Card Authors [optional]
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-[More Information Needed]
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-## Model Card Contact
-
-[More Information Needed]
-### Framework versions
+Install the required libraries:
 
-- PEFT 0.15.0
+```bash
+pip install transformers peft