Update default trainer configuration parameters for improved training stability #374
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Summary
This PR updates the default values for learning rate scheduler and optimizer configurations to improve training performance and stability based on empirical testing and best practices.
Configuration Changes
OptimizerConfig
1e-3→1e-4ReduceLROnPlateauConfig
"rel"→"abs"1e-4→1e-610→50.1→0.50→30.0→1e-8EarlyStoppingConfig
0.0→1e-81→10LRSchedulerConfig
ReduceLROnPlateauConfiginstead ofNoneFiles Updated
sleap_nn/config/trainer_config.py- Updated defaults and documentationdocs/sample_configs/(11 files)tests/assets/model_ckpts/(12 files)docs/config.mdtests/config/test_trainer_config.pyBenefits
Testing
uv run pytest .)uv run ruff check sleap_nn/)Backwards Compatibility
These changes update default values only. Users with existing configurations will continue to use their specified values. The new defaults provide better out-of-box performance for new users and projects.
🤖 Generated with Claude Code