nemo_microservices.types.customization.customization_job_list_filter#
Module Contents#
Classes#
API#
- class nemo_microservices.types.customization.customization_job_list_filter.CustomizationJobListFilter(/, **data: typing.Any)#
Bases:
nemo_microservices._models.BaseModel- base_model: Optional[str]#
None
Filter by name of the base model.
- batch_size: Optional[int]#
None
Batch size is the number of training samples used to train a single forwardand backward pass.
- dataset: Optional[str]#
None
Filter by dataset files_url.
- epochs: Optional[int]#
None
Epochs is the number of complete passes through the training dataset.
- finetuning_type: Optional[nemo_microservices.types.shared.finetuning_type.FinetuningType]#
None
Filter by available finetuning types.
- log_every_n_steps: Optional[int]#
None
Control logging frequency for metrics tracking.
It may slow down training to log on every single batch. By default, logs every 10 training steps.
- namespace: Optional[str]#
None
The namespace of the customization job
- project: Optional[str]#
None
Filter by project.
- status: Optional[nemo_microservices.types.shared.job_status.JobStatus]#
None
Normalized statuses for all jobs.
CREATED: The job is created, but not yet scheduled.
PENDING: The job is waiting for resource allocation.
RUNNING: The job is currently running.
CANCELLING: The job is being cancelled at the user’s request.
CANCELLED: The job has been cancelled by the user.
CANCELLING: The job is being cancelled at the user’s request.
FAILED: The job failed to execute and terminated.
COMPLETED: The job has completed successfully.
READY: The job is ready to be used.
UNKNOWN: The job status is unknown.
- training_type: Optional[nemo_microservices.types.training_type.TrainingType]#
None
Filter by training objective type.