Interface FineTuningEntity

Status of the training job.

interface FineTuningEntity {
    auto_update_model?: boolean;
    custom?: WatsonXAI.JsonObject;
    parameters?: WatsonXAI.FineTuningParameters;
    results_reference: WatsonXAI.ObjectLocation;
    status: WatsonXAI.TrainingStatus;
    test_data_references?: WatsonXAI.ObjectLocation[];
    training_data_references: WatsonXAI.ObjectLocation[];
    type?: string;
}

Properties

auto_update_model? custom? parameters? results_reference status test_data_references? training_data_references type?

Properties

Optional auto_update_model

auto_update_model?: boolean

This field must not be set while creating a fine tuning job with InstructLab.

If set to true then the result of the training, if successful, will be uploaded to the repository as a model.

Optional custom

custom?: WatsonXAI.JsonObject

User defined properties specified as key-value pairs.

Optional parameters

parameters?: WatsonXAI.FineTuningParameters

This field must not be set while creating a fine tuning job with InstructLab.

The parameters for the job. Note that if verbalizer is provided then response_template must also be provided (and vice versa).

results_reference

results_reference: WatsonXAI.ObjectLocation

The training results. Normally this is specified as type=container which means that it is stored in the space or project.

status

status: WatsonXAI.TrainingStatus

Status of the training job.

Optional test_data_references

test_data_references?: WatsonXAI.ObjectLocation[]

This field must not be set while creating a fine tuning job with InstructLab.

The holdout/test datasets.

training_data_references

training_data_references: WatsonXAI.ObjectLocation[]

The training datasets.

Optional type

type?: string

The type of Fine Tuning training. The type is set to ilab for InstructLab training.

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