pytorch-transfer-learning-debugger 0.1.0

A debugger for PyTorch transfer-learning & fine-tuning jobs

PyTorch Transfer Learning Debugger

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Getting Started

pip install the package:

pip install torch-transfer-learning-debugger

or

pip install git+<URL>

Then, run the debugger by incorporating it in your training loop.

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Potential Faults during Transfer Learning

Category	Failure Points	Common Solutions
Learning Rate	• Too high: unstable training • Too low: slow learning/stuck • Improper adjustment for transfer learning	• Start with 10-3 or 10-4 of original LR • Use LR finder • Implement LR scheduling
Layer Freezing	• Wrong layers frozen • Too many/few layers frozen • No gradual unfreezing	• Start by freezing all but final layers • Gradually unfreeze from top • Monitor layer gradients
Data Issues	• Insufficient data • Poor quality/preprocessing • Domain shift • Class imbalance • Wrong normalization	• Data augmentation • Match source preprocessing • Balance classes • Use validation set
Architecture	• Bad final layer modifications • Size/channel mismatches • Poor layer initialization • Wrong output dimensions	• Verify input/output dimensions • Use proper initialization • Match pretrained architecture
Optimization	• Wrong optimizer choice • Incorrect loss function • Bad batch size • Poor momentum settings	• Use Adam/AdamW for fine-tuning • Verify loss matches task • Start with small batches
Implementation	• Model not in train mode • Gradients not zeroed • Wrong device (CPU/GPU) • Memory leaks	• Use training checklist • Implement proper train/eval • Check device placement • Monitor memory usage
Pretrained Model	• Wrong pretrained weights • Corrupted weights • Version incompatibility	• Verify model source • Check model checksums • Match framework versions
Monitoring	• Poor metric tracking • No early stopping • Missing validation • No gradient monitoring	• Use debugging tools • Implement validation loops • Track multiple metrics • Monitor gradient flow

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For Developers: Fork

A debugger for running PyTorch transfer-learning & fine-tuning jobs.

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: 06.12.2024