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feat: make training config fields optional

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Signed-off-by: Charlie Doern <cdoern@redhat.com>
This commit is contained in:
Charlie Doern 2025-04-02 11:35:23 -04:00
parent 66d6c2580e
commit 9f5543a643
4 changed files with 29 additions and 21 deletions
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16
llama_stack/apis/post_training/post_training.py
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@ -60,11 +60,11 @@ class EfficiencyConfig(BaseModel):
@json_schema_type
class TrainingConfig(BaseModel):
n_epochs: int
max_steps_per_epoch: int
gradient_accumulation_steps: int
max_validation_steps: int
data_config: DataConfig
optimizer_config: OptimizerConfig
max_steps_per_epoch: int = 1
gradient_accumulation_steps: int = 1
max_validation_steps: Optional[int] = 1
data_config: Optional[DataConfig] = None
optimizer_config: Optional[OptimizerConfig] = None
efficiency_config: Optional[EfficiencyConfig] = None
dtype: Optional[str] = "bf16"
@ -177,9 +177,9 @@ class PostTraining(Protocol):
training_config: TrainingConfig,
hyperparam_search_config: Dict[str, Any],
logger_config: Dict[str, Any],
model: str = Field(
default="Llama3.2-3B-Instruct",
description="Model descriptor from `llama model list`",
model: Optional[str] = Field(
default=None,
description="Model descriptor for training if not in provider config`",
),
checkpoint_dir: Optional[str] = None,
algorithm_config: Optional[AlgorithmConfig] = None,