Help Center/ ModelArts/ API Reference/ Model Training/ Training Job Management (New Version)/ Obtaining the Metrics of a Fine-tuning Training Task
Updated on 2026-09-01 GMT+08:00

Obtaining the Metrics of a Fine-tuning Training Task

Function

This API is used to obtain the metric information about a fine-tuning training task, such as training loss.

Debugging

You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.

Authorization Information

Each account has all the permissions required to call all APIs, but IAM users must be assigned the required permissions.

  • If you are using role/policy-based authorization, see Permissions Policies and Supported Actions for details on the required permissions.
  • If you are using identity policy-based authorization, no identity policy-based permission required for calling this API.

URI

GET /v2/{project_id}/training-jobs/{training_job_id}/ft-metrics

Table 1 Path Parameters

Parameter

Mandatory

Type

Description

project_id

Yes

String

Definition: Project ID. For details, see Obtaining a Project ID and Name.

Constraints: N/A

Range: The value can contain 1 to 64 characters. Only letters, digits, and hyphens (-) are allowed.

Default Value: N/A

training_job_id

Yes

String

Definition: Training job ID. For details, see Obtaining Training Jobs.

Constraints: N/A

Range: N/A

Default Value: N/A

Request Parameters

None

Response Parameters

Status code: 200

Table 2 Response body parameters

Parameter

Type

Description

loss

Object

Training loss information

eval_loss

Object

Evaluation loss information

training_info

Object

Estimated training duration

train_process

Double

Training progress information

data

FtMetricData object

Training metrics.

Table 3 FtMetricData

Parameter

Type

Description

format_version

String

Fixed value 1.0, indicating the data format version.

timestamp

String

File generation time in ISO 8601 format (e.g., 2026-07-18T10:30:00Z).

metrics

Array of FtMetric objects

Training metrics structure.

Table 4 FtMetric

Parameter

Type

Description

name_cn

String

Metric Chinese name (e.g., Training Metrics, Accuracy), used on the frontend as legend or column names.

name_en

String

Metric English name (e.g., train_loss, val_accuracy), used on the frontend as legend or column names.

des_en

String

Metric Chinese description (e.g., training metrics), used on the frontend for metric description.

des_cn

String

Metric English description (e.g., train loss), used on the frontend for metric description.

type

String

Metric visualization type. Options include line (line chart), pie (pie chart), table (table), or scalar (single value); extensible to image, etc.

group

String

Logical grouping (e.g., training, validation, test), extensible, used for frontend column splitting or filtering.

group_by

Array of strings

Specifies which data point fields are used for grouping to generate multiple series (e.g., ["layer", "feature"]).

x_axis

String

Explicitly specifies the data point field name to be used as the X-axis (e.g., "step", "epoch", "timestamp").

tags

Array of strings

Logical grouping (e.g., surface loss), used for frontend grouping or filtering.

unit

String

Unit (e.g., %, samples/sec), used for display purposes only.

data

Object

Data point array, strictly sorted in ascending order by time/step.

Status code: 400

Table 5 Response body parameters

Parameter

Type

Description

error_msg

String

Error message

error_code

String

Error code

error_solution

String

Solution

Example Requests

The following shows how to query a training job whose UUID is 3faf5c03-aaa1-4cbe-879d-24b05d997347.

GET https://{endpoint}/v2/{project_id}/training-jobs/3faf5c03-aaa1-4cbe-879d-24b05d997347/ft-metrics

Example Responses

Status code: 200

Metric details

{
  "train_process" : 1.0
}

Status code: 400

Format of the body for a common error response. The following shows the returned information when a training job with ID 3f5d6706-7b67-408d-8ba0-ec08048c45ee is not found.

{
  "error_msg" : "Job not found.",
  "error_code" : "ModelArts.2755",
  "error_solution" : "Check whether the training job in the request is valid."
}

Status Codes

Status Code

Description

200

Metric details

400

Format of the body for a common error response. The following shows the returned information when a training job with ID 3f5d6706-7b67-408d-8ba0-ec08048c45ee is not found.

Error Codes

See Error Codes.