If you're facing issues with training deep learning models using PyTorch or Transformers, I can help diagnose and resolve them. Whether it's debugging errors, fixing unstable training, or optimizing performance, I provide a structured and thorough approach to problem-solving.
What I Offer:
- Debugging model training issues, including shape mismatches, runtime errors, and convergence problems
- Identifying and fixing performance bottlenecks in data loading, GPU utilization, and training loops
- Reviewing code for correctness, efficiency, and best practices
- Providing explanations for issues and potential improvements
Process:
- Initial Assessment: I will review the problem and provide a time estimate.
- Agreement: If we align on the scope, I will proceed with debugging.
- Solution & Explanation: A complete fix with a clear breakdown of the issue.
Pricing:
- $5 per hour
- A typical debugging session takes 2–6 hours, depending on complexity.
If you need assistance, feel free to reach out to discuss your issue.
