Update default configuration values for improved training

[gitttt-1234]

Summary

This PR updates several default configuration values across the codebase to provide better out-of-box training behavior and align with best practices for pose estimation training.

Configuration Changes

DataLoaderConfig

• batch_size: 1 → 4
  • More efficient training with larger batch sizes
  • Better gradient estimates and faster convergence
  • Applies to both train and validation data loaders

TrainerConfig

• max_epochs: 10 → 100
  • Allows sufficient training time for proper convergence
  • More appropriate default for pose estimation models
• seed: 0 → None
  • No default seeding, allowing natural randomization
  • Users can explicitly set seed when reproducibility is needed

DataConfig

• use_augmentations_train: False → True
  • Enables data augmentation by default
  • Improves model generalization and robustness
• Removed conditional logic in data_mapper
  • Previously auto-set use_augmentations_train based on augmentation args
  • Now consistently defaults to True for cleaner behavior

ModelConfig

• ClassMapConfig sigma: 15.0 → 5.0
  • More precise class map generation for multi-class models
  • Consistent with confmaps sigma defaults
  • Better localization accuracy

Files Changed

• ✅ sleap_nn/config/data_config.py - Updated defaults and removed conditional logic
• ✅ sleap_nn/config/model_config.py - Updated ClassMapConfig sigma
• ✅ sleap_nn/config/trainer_config.py - Updated batch_size, max_epochs, seed, and all docstrings

Benefits

• 🎯 Better default training configurations out-of-box
• 📈 Improved training efficiency with larger batch sizes
• 🔄 Data augmentation enabled by default for better generalization
• ⏱️ Sufficient epochs for proper model convergence
• 📝 Accurate documentation across all config classes

Backwards Compatibility

These changes only affect default values. All existing configurations with explicit values will continue to work as before. Users can override any of these defaults through their config files.

Testing

• ✅ All configuration classes properly instantiate with new defaults
• ✅ Docstrings accurately reflect current values
• ✅ Linter passes

🤖 Generated with Claude Code

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 93.83%. Comparing base (ff91433) to head (e3d4a3d).
⚠️ Report is 65 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #375      +/-   ##
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- Coverage   95.28%   93.83%   -1.46%     
==========================================
  Files          49       49              
  Lines        6765     7180     +415     
==========================================
+ Hits         6446     6737     +291     
- Misses        319      443     +124     

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