axolotl

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PraMamba 8aab807e67 feat: Add SwanLab integration for experiment tracking (#3334 )

* feat(swanlab): add SwanLab integration for experiment tracking

SwanLab integration provides comprehensive experiment tracking and monitoring for Axolotl training.

Features:
- Hyperparameter logging
- Training metrics tracking
- RLHF completion logging
- Performance profiling
- Configuration validation and conflict detection

Includes:
- Plugin in src/axolotl/integrations/swanlab/
- Callback in src/axolotl/utils/callbacks/swanlab.py
- Tests in tests/integrations/test_swanlab.py
- Examples in examples/swanlab/

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* fix(swanlab): address PR #3334 review feedback from winglian and CodeRabbit

- Change use_swanlab default to True (winglian)
- Clear buffer after periodic logging to prevent duplicates (CodeRabbit Major)
- Add safe exception handling in config fallback (CodeRabbit)
- Use context managers for file operations (CodeRabbit)
- Replace LOG.error with LOG.exception for better debugging (CodeRabbit)
- Sort __all__ alphabetically (CodeRabbit)
- Add language specifiers to README code blocks (CodeRabbit)
- Fix end-of-file newline in README (pre-commit)

Resolves actionable comments and nitpicks from CodeRabbit review.
Addresses reviewer feedback from @winglian.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* only run swanlab integration tests if package is available

---------

Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>

2026-01-06 09:19:18 -05:00

__init__.py

upgrade liger to 0.4.0 (#1973 )

2024-11-07 12:53:34 -05:00

test_diffusion_callback.py

text diffusion training plugin (#3067 )

2025-09-10 20:27:00 -04:00

test_diffusion.py

text diffusion training plugin (#3067 )

2025-09-10 20:27:00 -04:00

test_kd_chat_template.py

fix: Fix evaluation loss in KD trainer (#3271 )