import os
from scale_gp import SGPClient
client = SGPClient(
api_key=os.environ.get("SGP_API_KEY"), # This is the default and can be omitted
)
fine_tuning_job = client.fine_tuning_jobs.create(
account_id="account_id",
training_dataset_id="training_dataset_id",
)
print(fine_tuning_job.id){
"training_dataset_id": "<string>",
"status": "PENDING",
"id": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"account_id": "<string>",
"created_by_user_id": "<string>",
"created_by_identity_type": "user",
"base_model_id": "<string>",
"vendor_configuration": {
"vendor": "LAUNCH",
"hyperparameters": {},
"wandb_config": {},
"suffix": "<string>",
"output": "<string>"
},
"fine_tuned_model_id": "<string>",
"validation_dataset_id": "<string>"
}Model fine tuning jobs.
TODO
import os
from scale_gp import SGPClient
client = SGPClient(
api_key=os.environ.get("SGP_API_KEY"), # This is the default and can be omitted
)
fine_tuning_job = client.fine_tuning_jobs.create(
account_id="account_id",
training_dataset_id="training_dataset_id",
)
print(fine_tuning_job.id){
"training_dataset_id": "<string>",
"status": "PENDING",
"id": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"account_id": "<string>",
"created_by_user_id": "<string>",
"created_by_identity_type": "user",
"base_model_id": "<string>",
"vendor_configuration": {
"vendor": "LAUNCH",
"hyperparameters": {},
"wandb_config": {},
"suffix": "<string>",
"output": "<string>"
},
"fine_tuned_model_id": "<string>",
"validation_dataset_id": "<string>"
}The ID of the account that owns the given entity.
Show child attributes
Successful Response
PENDING, COMPLETED, FAILED, RUNNING, CANCELED The unique identifier of the entity.
The date and time when the entity was created in ISO format.
The ID of the account that owns the given entity.
The user who originally created the entity.
The type of identity that created the entity.
user, service_account Show child attributes