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adjust nonhidden_params learning_rate to 5e-4

pull/663/head
guo-sj 2026-02-02 14:48:22 +08:00
parent a2e0fe710f
commit 01c04f519b
2 changed files with 4 additions and 4 deletions
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2
trainer/train_full_sft.py
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@ -139,7 +139,7 @@ if __name__ == "__main__":
nonhidden_params = [p for p in model.parameters() if p.ndim < 2] nonhidden_params = [p for p in model.parameters() if p.ndim < 2]
param_groups = [ param_groups = [
dict(params=hidden_weights, use_muon=True, lr=args.learning_rate, weight_decay=0.01), 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(): if dist.is_initialized():
optimizer = MuonWithAuxAdam(param_groups) optimizer = MuonWithAuxAdam(param_groups)

2
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] nonhidden_params = [p for p in model.parameters() if p.ndim < 2]
param_groups = [ param_groups = [
dict(params=hidden_weights, use_muon=True, lr=args.learning_rate, weight_decay=0.01), 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(): if dist.is_initialized():
optimizer = MuonWithAuxAdam(param_groups) optimizer = MuonWithAuxAdam(param_groups)