Updates a fine-tuned model.

Path parameters

idstringRequired

FinetunedModel ID.

Headers

X-Client-NamestringOptional

The name of the project that is making the request.

Request

This endpoint expects an object.

namestringRequired

FinetunedModel name (e.g. foobar).

settingsobjectRequired

FinetunedModel settings such as dataset, hyperparameters…

creator_idstringOptional

User ID of the creator.

organization_idstringOptional

Organization ID.

statusenumOptionalDefaults to STATUS_UNSPECIFIED

Current stage in the life-cycle of the fine-tuned model.

created_atdatetimeOptional

Creation timestamp.

updated_atdatetimeOptional

Latest update timestamp.

completed_atdatetimeOptional

Timestamp for the completed fine-tuning.

last_useddatetimeOptional

Deprecated: Timestamp for the latest request to this fine-tuned model.

Response

This endpoint returns an object.

finetuned_modelobjectOptional

Information about the fine-tuned model.

1 from cohere.finetuning import ( 2 BaseModel, 3 Settings, 4 ) 5 import cohere 6 7 co = cohere.Client() 8 finetuned_model = co.finetuning.update_finetuned_model( 9 id="test-id", 10 name="new name", 11 settings=Settings( 12 base_model=BaseModel( 13 base_type="BASE_TYPE_CHAT", 14 ), 15 dataset_id="my-dataset-id", 16 ), 17 ) 18 19 print(finetuned_model)

1 { 2 "finetuned_model": { 3 "name": "name", 4 "settings": { 5 "base_model": { 6 "base_type": "BASE_TYPE_UNSPECIFIED" 7 }, 8 "dataset_id": "dataset_id", 9 "multi_label": true, 10 "wandb": { 11 "project": "project", 12 "api_key": "api_key" 13 } 14 }, 15 "id": "id", 16 "creator_id": "creator_id", 17 "organization_id": "organization_id", 18 "status": "STATUS_UNSPECIFIED", 19 "created_at": "2024-01-15T09:30:00Z", 20 "updated_at": "2024-01-15T09:30:00Z", 21 "completed_at": "2024-01-15T09:30:00Z", 22 "last_used": "2024-01-15T09:30:00Z" 23 } 24 }

1	from cohere.finetuning import (
2	BaseModel,
3	Settings,
4	)
5	import cohere
6
7	co = cohere.Client()
8	finetuned_model = co.finetuning.update_finetuned_model(
9	id="test-id",
10	name="new name",
11	settings=Settings(
12	base_model=BaseModel(
13	base_type="BASE_TYPE_CHAT",
14	),
15	dataset_id="my-dataset-id",
16	),
17	)
18
19	print(finetuned_model)

1	{
2	"finetuned_model": {
3	"name": "name",
4	"settings": {
5	"base_model": {
6	"base_type": "BASE_TYPE_UNSPECIFIED"
7	},
8	"dataset_id": "dataset_id",
9	"multi_label": true,
10	"wandb": {
11	"project": "project",
12	"api_key": "api_key"
13	}
14	},
15	"id": "id",
16	"creator_id": "creator_id",
17	"organization_id": "organization_id",
18	"status": "STATUS_UNSPECIFIED",
19	"created_at": "2024-01-15T09:30:00Z",
20	"updated_at": "2024-01-15T09:30:00Z",
21	"completed_at": "2024-01-15T09:30:00Z",
22	"last_used": "2024-01-15T09:30:00Z"
23	}
24	}