Query fine-tuning logs-Alibaba Cloud Model Studio(Model Studio)-阿里云帮助中心

Retrieves training logs for a specified fine-tuning job.

Request

In Windows CMD, replace ${DASHSCOPE_API_KEY} with %DASHSCOPE_API_KEY%. In PowerShell, replace it with $env:DASHSCOPE_API_KEY.

curl --location --request GET "https://dashscope.aliyuncs.com/api/v1/fine-tunes/<your-fine-tuning-job-id>/logs?offset=10&line=10" \
      --header "Authorization: Bearer ${DASHSCOPE_API_KEY}" \
      --header 'Content-Type: application/json'

Request parameters

Parameter	Type	Location	Required	Description
job_id	String	Path	Yes	The ID of the fine-tuning job to query. You can obtain this ID from the Create a fine-tuning job or List fine-tuning jobs operation.
offset	Number	Query	No	Skips the first `offset` lines of output and starts reading from line `offset+1`. The value cannot exceed the total number of existing output lines. If the value is exceeded, no output is returned. The default value is 0.
line	Number	Query	No	Starts reading from line `offset+1` (inclusive) and reads `line` lines of output. If the output of this request has fewer than `line` lines, the actual output is returned. The default value is 100, and the upper limit is 1000.

Sample response

{
          "request_id": "ce49b45d-fe46-474e-9e1b-3e7427ffdf5a",
          "output": {
              "total": 20,
              "logs": [
                  "{'train_runtime': 216.3999, 'train_samples_per_second': 2.066, 'train_steps_per_second': 0.014, 'train_loss': 0.9122632344563802, 'epoch': 0.8571428571428571}",
                  " Actual number of consumed tokens is 279808!",
                  " Uploaded checkpoint!",
                  " Fine-tune succeeded!",
                  " use checkpoint-3 as final checkpoint",
                  "2024-10-29 17:03:47,719 - INFO - transfer for inference succeeded, start to deliver it for inference",
                  "2024-10-29 17:09:43,322 - INFO - start to save checkpoint",
                  "2024-10-29 17:11:24,689 - INFO - finetune-job succeeded",
                  "2024-10-29 17:11:25,130 - INFO - training usage 279808",
                  "2024-10-29 17:11:25,175 - INFO - ##FT_COMPLETE##"
              ]
          }
      }

Response parameters

Parameter	Type	Description
request_id	String	The unique identifier for this request.
output	Object	Contains the detailed query results.
output.total	Integer	The total number of log lines.
output.logs	Array	The log lines returned by the request.

Error codes

Returned when a request fails.

Parameter	Type	Description	Example
code	String	The error code.	NotFound
request_id	String	The unique identifier for this request.	6332fb02-3111-43f0-bf79-f9e8c5ffa7f9
message	String	The error message.	Not Found!

Sample error response

{
        "code": "NotFound",
        "request_id": "BE213CDD-8A5C-59EE-9A67-055EAB0CB59B",
        "message": "Not Found!"
      }

Error code list

HTTP status code	Error code	Error message	Description	Solution
400	InvalidParameter	Missing training files	A parameter is invalid, missing, or in an unsupported format.	Check the error message and correct the invalid parameter.
400	UnsupportedOperation	The fine-tuning job cannot be deleted because it has succeeded, failed, or been canceled.	The operation cannot be performed because the resource is in a specific state.	Wait for the resource to enter a valid state before retrying the operation.
404	NotFound	Not found!	The requested resource does not exist.	Verify that the resource ID is correct.
409	Conflict	Deployment instance xxxxx already exists. Please specify a suffix.	A deployment instance with the specified name already exists. You must provide a unique suffix to resolve the conflict.	Specify a unique suffix for the deployment.
429	Throttling	Too many fine-tuning jobs are running. Please retry later. A maximum of 20 running or succeeded fine-tuning jobs are allowed per user.	The request was throttled because a platform limit was reached.	Delete any unused models. To increase the concurrency limit for fine-tuning jobs or the number of retained models, contact your business manager.
500	InternalError	Internal server error!	An internal error occurred.	Record the `request_id` and submit a ticket to Alibaba Cloud engineers for assistance.