Fix bidirectional _orig_mod. key mismatch when loading checkpoints

Fix _orig_mod. key prefix mismatch when loading torch.compile() checkpoints

Refactor runner.py: extract shared setup logic into _setup_and_train helper

Fix LR warmup ordering and align adam_eps with Meta LLaMA

Remove redundant detect_scenario from LossDebugger

Add Code CPT pipeline for injecting Python code capability

Fix false/inaccurate citations in LossDebugger

Fix LR reference table and batch-LR scaling guidance in LossDebugger

Fix batch size diagnostic: widen window and list multiple causes

Fix gradient diagnostic thresholds with evidence-based criteria in LossDebugger

Fix check_numerical_stability accuracy and completeness

Scale overfit test LR and steps by model size in LossDebugger

Reduce LOSS_BOUNCE false positives with moving-average smoothing

Improve LOSS_BOUNCE detection with pre-computed bounce metrics

Add LOSS_BOUNCE detection to diagnose_status classification chain

Add NaN detection to diagnose_status classification chain

Fix debugger reference data and scenario detection logic

Add configurable wandb log directory path

Tighten expected loss ranges for FineWeb-Edu dataset

feat(training): add LossDebugger 5-level diagnostic framework

fix(trainer): correct attribute name from total_mem to total_memory

refactor(runner): replace manual seed setup with set_seed utility

docs: translate all Korean comments and docstrings to English

Initial commit: LLM-1B-Lab project setup