ViperEkura 84ed2327f5 feat: add --resume flag to decouple weight loading from training resumption ... - Add --resume bool flag to train.py CLI - --param_path always loads weights only by default - --resume restores epoch, consumed_samples, optimizer & scheduler - Checkpoint.load() now preserves full meta dict - Update test_early_stopping to use new param_path/resume API		2026-07-16 14:23:23 +08:00
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__init__.py	chore : 升级 torch 2.11.0+cu128，移除自定义 Muon，修复 gloo device_id	2026-06-27 16:10:37 +08:00
metric_util.py	refactor : grad_norm 指标简化，clip_grad_norm 移至 executor	2026-06-30 14:59:43 +08:00
schedule.py	fix: scheduler division-by-zero, loss_mask bool	2026-07-03 22:04:55 +08:00
strategy.py	refactor: separate old policy and ref model in GRPO strategy	2026-07-14 20:03:45 +08:00
train_callback.py	fix: init last_ckpt_step and last_log_flush_step from context.optimizer_step	2026-07-15 22:15:55 +08:00
train_context.py	feat: add --resume flag to decouple weight loading from training resumption	2026-07-16 14:23:23 +08:00
trainer.py	feat: add --resume flag to decouple weight loading from training resumption	2026-07-16 14:23:23 +08:00