kanshan/minimind
1
0
Fork 0
mirror of https://github.com/jingyaogong/minimind.git synced 2026-04-25 08:48:16 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

adjust nonhidden_params learning_rate to 5e-4

Browse Source
This commit is contained in:
guo-sj 2026-02-02 14:48:22 +08:00
parent a2e0fe710f
commit 01c04f519b
2 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
trainer/train_full_sft.py
View File

@ -139,7 +139,7 @@ if __name__ == "__main__":
nonhidden_params = [p for p in model.parameters() if p.ndim < 2]
param_groups = [
dict(params=hidden_weights, use_muon=True, lr=args.learning_rate, weight_decay=0.01),
dict(params=nonhidden_params, use_muon=False, lr=args.learning_rate, betas=(0.9, 0.95)),
dict(params=nonhidden_params, use_muon=False, lr=5e-4, betas=(0.9, 0.95)),
]
if dist.is_initialized():
optimizer = MuonWithAuxAdam(param_groups)
@ -178,4 +178,4 @@ if __name__ == "__main__":
train_epoch(epoch, loader, len(loader), 0, wandb)
# ========== 9. 清理分布进程 ==========
if dist.is_initialized(): dist.destroy_process_group()
if dist.is_initialized(): dist.destroy_process_group()

4
trainer/train_pretrain.py
View File

@ -138,7 +138,7 @@ if __name__ == "__main__":
nonhidden_params = [p for p in model.parameters() if p.ndim < 2]
param_groups = [
dict(params=hidden_weights, use_muon=True, lr=args.learning_rate, weight_decay=0.01),
dict(params=nonhidden_params, use_muon=False, lr=args.learning_rate, betas=(0.9, 0.95)),
dict(params=nonhidden_params, use_muon=False, lr=5e-4, betas=(0.9, 0.95)),
]
if dist.is_initialized():
optimizer = MuonWithAuxAdam(param_groups)
@ -177,4 +177,4 @@ if __name__ == "__main__":
train_epoch(epoch, loader, len(loader), 0, wandb)
# ========== 9. 清理分布进程 ==========
if dist.is_initialized(): dist.destroy_process_group()
if dist.is_initialized(): dist.destroy_process_group()