kempnerforge.config.job

Top-level job configuration aggregating all sub-configs.

Classes

JobConfig

Top-level configuration aggregating all sub-configs.
class kempnerforge.config.job.JobConfig[source]

Bases: object

Top-level configuration aggregating all sub-configs.

The VLM stack lives as three sibling top-level sections, [vision_encoder] / [adapter] / [vlm]. A pure text run leaves all three at None and writes only [model] (plus the other operational sections). A VLM run sets [vlm] and is required to provide [vision_encoder]; [adapter] defaults to the registered 2-layer MLP and may be omitted.

model: ModelConfig
train: TrainConfig
optimizer: OptimizerConfig
scheduler: SchedulerConfig
data: DataConfig
eval: EvalConfig
distributed: DistributedConfig
checkpoint: CheckpointConfig
metrics: MetricsConfig
profiling: ProfilingConfig
vision_encoder: VisionEncoderConfig | None = None
adapter: AdapterConfig | None = None
vlm: VLMConfig | None = None
property is_vlm: bool

Whether this job builds a VLMWrapper around the text backbone.

validate(world_size=1)[source]

Run cross-config validations that depend on the world size.

Parameters:

world_size (int)

Return type:

None

__init__(model=<factory>, train=<factory>, optimizer=<factory>, scheduler=<factory>, data=<factory>, eval=<factory>, distributed=<factory>, checkpoint=<factory>, metrics=<factory>, profiling=<factory>, vision_encoder=None, adapter=None, vlm=None)
Parameters:
Return type:

None