google.ai.generativelanguage.TunedModel

A fine-tuned model created using ModelService.CreateTunedModel.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

tuned_model_source google.ai.generativelanguage.TunedModelSource

Optional. TunedModel to use as the starting point for training the new model.

This field is a member of oneof_ source_model.

base_model str

Immutable. The name of the Model to tune. Example: models/text-bison-001

This field is a member of oneof_ source_model.

name str

Output only. The tuned model name. A unique name will be generated on create. Example: tunedModels/az2mb0bpw6i If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: display_name = "Sentence Translator" name = "tunedModels/sentence-translator-u3b7m".

display_name str

Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.

description str

Optional. A short description of this model.

temperature float

Optional. Controls the randomness of the output.

Values can range over [0.0,1.0], inclusive. A value closer to 1.0 will produce responses that are more varied, while a value closer to 0.0 will typically result in less surprising responses from the model.

This value specifies default to be the one used by the base model while creating the model.
top_p float

Optional. For Nucleus sampling.

Nucleus sampling considers the smallest set of tokens whose probability sum is at least top_p.

This value specifies default to be the one used by the base model while creating the model.
top_k int

Optional. For Top-k sampling.

Top-k sampling considers the set of top_k most probable tokens. This value specifies default to be used by the backend while making the call to the model.

This value specifies default to be the one used by the base model while creating the model.
state google.ai.generativelanguage.TunedModel.State

Output only. The state of the tuned model.

create_time google.protobuf.timestamp_pb2.Timestamp

Output only. The timestamp when this model was created.

update_time google.protobuf.timestamp_pb2.Timestamp

Output only. The timestamp when this model was updated.

tuning_task google.ai.generativelanguage.TuningTask

Required. The tuning task that creates the tuned model.

Child Classes

class State