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--- |
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B |
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library_name: peft |
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license: apache-2.0 |
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datasets: |
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- STEM-AI-mtl/Electrical-engineering |
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language: |
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- en |
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tags: |
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- Engineering |
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pipeline_tag: text-generation |
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--- |
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# Model Card for Model ID |
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This lora is trained for Deepseek R1 Qwen model for providing better replies in Engineering using smaller LLMs. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Just some student |
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- **Model type:** PEFT |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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- **Finetuned from model [optional]:** [More Information Needed] |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- 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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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- 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. --> |
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[More Information Needed] |
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### Training Procedure |
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<!-- 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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#### 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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#### Metrics |
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Train loss - 1.399200 Eval loss - 1.393927 |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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- **Hardware Type:** 2 x Nvidia T4 |
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- **Hours used:** 2h |
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- **Cloud Provider:** Kaggle |
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- **Compute Region:** Russia |
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- PEFT 0.14.0 |
