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Goekdeniz-Guelmez 2025-03-01 14:56:06 +01:00
parent 845cd8c01e
commit b0a2edbcf3
1 changed files with 20 additions and 7 deletions
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27
llms/mlx_lm/lora.py
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@ -43,6 +43,7 @@ CONFIG_DEFAULTS = {
"model": "mlx_model",
"train": False,
"fine_tune_type": "lora",
"optimizer": "adam",
"data": "data/",
"seed": 0,
"num_layers": 16,
@ -95,14 +96,19 @@ def build_parser():
choices=["lora", "dora", "full"],
help="Type of fine-tuning to perform: lora, dora, or full.",
)
parser.add_argument(
'--optimizer',
type=str,
choices=["adam", "adamw", "muon"],
default="adam",
help="Optimizer to use for training: adam, adamw, or muon",
)
parser.add_argument(
"--mask-prompt",
action="store_true",
help="Mask the prompt in the loss when training",
default=None,
)
parser.add_argument(
"--num-layers",
type=int,
@ -229,11 +235,18 @@ def train_model(
)
model.train()
opt = optim.Adam(
learning_rate=(
build_schedule(args.lr_schedule) if args.lr_schedule else args.learning_rate
)
)
# Initialize the selected optimizer
lr = build_schedule(args.lr_schedule) if args.lr_schedule else args.learning_rate
if args.optimizer.lower() == "adam":
opt = optim.Adam(learning_rate=lr)
elif args.optimizer.lower() == "adamw":
opt = optim.AdamW(learning_rate=lr)
elif args.optimizer.lower() == "muon":
opt = optim.Muon(learning_rate=lr)
else:
raise ValueError(f"Unsupported optimizer: {args.optimizer}")
# Train model
train(