Creates a model customization job in Amazon SageMaker. A job runs a workload based on the job category and configuration you provide. You specify the job category, a schema-versioned configuration document, and an IAM role that grants Amazon SageMaker permission to access resources on your behalf.
Use the AgentRFT category to fine-tune a model using multi-turn reinforcement learning with reward signals. Use the AgentRFTEvaluation category to evaluate a fine-tuned or base model by running multi-turn rollouts against a held-out prompt dataset and computing metrics such as pass@k and mean reward.
Before creating a job, call ListJobSchemaVersions and DescribeJobSchemaVersion to retrieve the configuration schema for your job category. The JobConfigDocument must conform to the schema specified by JobConfigSchemaVersion .
The following operations are related to CreateJob :
DescribeJobListJobsStopJobDeleteJobListJobSchemaVersionsDescribeJobSchemaVersionSee also: AWS API Documentation
create-job
--job-name <value>
--role-arn <value>
--job-category <value>
--job-config-schema-version <value>
--job-config-document <value>
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
[--cli-error-format <value>]
--job-name (string) [required]
The name of the job. The name must be unique within your account and Amazon Web Services Region.
Constraints:
- min:
1- max:
63- pattern:
[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}
--role-arn (string) [required]
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the job. The role must have the necessary permissions to access the resources required by the job configuration.
Constraints:
- min:
20- max:
2048- pattern:
arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+
--job-category (string) [required]
The category of the job. The category determines the type of workload that the job runs.
Possible values:
AgentRFTAgentRFTEvaluation
--job-config-schema-version (string) [required]
The version of the configuration schema to use for the job configuration document. Use
ListJobSchemaVersionsto get available schema versions for a job category.Constraints:
- min:
5- max:
16- pattern:
\d+\.\d+\.\d+
--job-config-document (string) [required]
The JSON configuration document for the job. The document must conform to the schema specified by
JobConfigSchemaVersion. UseDescribeJobSchemaVersionto retrieve the schema for validation.Constraints:
- min:
1- max:
262144
--tags (list)
An array of key-value pairs to apply to the job as tags. For more information, see Tagging Amazon Web Services Resources .
Constraints:
- min:
0- max:
50(structure)
A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.
You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags .
For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources . For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy .
Key -> (string) [required]
The tag key. Tag keys must be unique per resource.
Constraints:
- min:
1- max:
128- pattern:
([\p{L}\p{Z}\p{N}_.:/=+\-@]*)Value -> (string) [required]
The tag value.
Constraints:
- min:
0- max:
256- pattern:
([\p{L}\p{Z}\p{N}_.:/=+\-@]*)
Shorthand Syntax:
Key=string,Value=string ...
JSON Syntax:
[
{
"Key": "string",
"Value": "string"
}
...
]
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
--debug (boolean)
Turn on debug logging.
--endpoint-url (string)
Override command’s default URL with the given URL.
--no-verify-ssl (boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate (boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output (string)
The formatting style for command output.
--query (string)
A JMESPath query to use in filtering the response data.
--profile (string)
Use a specific profile from your credential file.
--region (string)
The region to use. Overrides config/env settings.
--version (string)
Display the version of this tool.
--color (string)
Turn on/off color output.
--no-sign-request (boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle (string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout (int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout (int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format (string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.
--no-cli-pager (boolean)
Disable cli pager for output.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt (boolean)
Disable automatically prompt for CLI input parameters.
--cli-error-format (string)
The formatting style for error output. By default, errors are displayed in enhanced format.
JobArn -> (string)
The Amazon Resource Name (ARN) of the job.
Constraints:
- min:
0- max:
256- pattern:
arn:(aws[a-z\-]*):sagemaker:[a-z0-9\-]+:[0-9]{12}:job/[a-zA-Z0-9]+/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}