Optional
autoThis 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
customUser defined properties specified as key-value pairs.
Optional
descriptionThe description of the job.
Optional
headersThe name of the job.
Optional
parametersThis 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).
Optional
projectThe project that contains the resource. Either space_id
or project_id
has to be given.
The training results. Normally this is specified as type=container
which
means that it is stored in the space or project.
Optional
spaceThe space that contains the resource. Either space_id
or project_id
has to be given.
Optional
tagsA list of tags for this resource.
Optional
testThis field must not be set while creating a fine tuning job with InstructLab.
The holdout/test datasets.
The training datasets.
Optional
typeThe type
of Fine Tuning training. The type
is set to ilab
for InstructLab training.
Parameters for the
createFineTuning
operation.