Get training

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Available in Classic and VPC

Get the desired training information from the list of trainings created. You can check the training progress, current step count, etc. for each training. The training ID required to call the Get training API can be found in the response body of the Create training API.

Request

This section describes the request format. The method and URI are as follows:

Method	URI
GET	/tuning/v2/tasks/{taskId}

Request headers

The following describes the request headers.

Field	Required	Description
`Authorization`	Required	API key for authentication <e.g.,> `Bearer nv-************`
`X-NCP-CLOVASTUDIO-REQUEST-ID`	Optional	Request ID for the request
`Content-Type`	Required	Request data format `application/json`

Request path parameters

You can use the following path parameters with your request:

Field	Type	Required	Description
`taskId`	String	Required	Training ID Check in the response body of Get training list

Request example

The request example is as follows:

curl --location --request GET 'https://clovastudio.stream.ntruss.com/tuning/v2/tasks/{taskId}' \
--header 'Authorization: Bearer {API Key}' \
--header 'Content-Type: application/json' \
--header 'X-NCP-CLOVASTUDIO-REQUEST-ID: {Request ID}'

Response

This section describes the response format.

Response headers

The following describes the response headers.

Headers	Required	Description
Content-Type	-	Response data format `application/json`

Response body

The response body includes the following data:

Field	Type	Required	Description
`status`	Object	-	Response status
`result`	Object	-	Response result
`result.id`	String	-	Training ID
`result.name`	String	-	Training name
`result.model`	String	-	Tuning model name
`result.method`	String	-	Tuning method `LoRA`
`result.taskType`	String	-	Training type `GENERATION` \| `CLASSIFICATION` `GENERATION`: generation `CLASSIFICATION`: classification
`result.trainEpochs`	Integer	-	Number of epochs trained on the model
`result.learningRate`	Double	-	Training rate (level or degree to which model parameters are retrained when tuning)
`result.status`	String	-	Training progress `WAIT` \| `RUNNING` \| `FAILED` \| `SUCCEEDED` `WAIT`: training pending `RUNNING`: training in progress `FAILED`: training stopped `SUCCEEDED`: training completed
`result.statusInfo`	Array	-	Training progress details
`result.createdClientType`	String	-	Type of client requesting training `API` \| `WEB` `API`: API client `WEB`: web client
`result.createdDate`	String	-	Training creation date (ISO 8601 format)
`result.updatedDate`	String	-	Training modification date (ISO 8601 format)

`statusInfo`

The following describes statusInfo.

Field	Type	Required	Description
`label`	Array	-	When the training type is `CLASSIFICATION`: User data labels are displayed When the training type is `GENERATION`: `null`
`dataRows`	Integer	-	Number of data
`numOfTokens`	Integer	-	Number of data tokens
`currStep`	Integer	-	Number of current training steps
`totalTrainSteps`	Integer	-	Number of total training steps
`currEpoch`	Integer	-	Current epoch
`totalTrainEpochs`	Integer	-	All training epochs
`estimatedTime`	Integer	-	Estimated run time Derived by multiplying the average time of 1 epoch by the total number of training epochs
`trainLoss`	Double	-	Training loss
`sendWeightSuccess`	Boolean	-	Whether to save training results `false` \| `true` `false`: Don't save `true`: Save
`failureReason`	String	-	Reason for training failure (`FAILED`)
`message`	String	-	Detailed message for training failure (`FAILED`) reason
`endDatetime`	String	-	Training end date (in ISO 8601 format)

`failureReason`, `message`

The following describes training failure reasons (failureReason) and the detailed message (message) for each training failure reason.

Training failure reason	Message details	Description
`file.extension`	`Unavailable file extension. Please check the file extension again.`	The data file extension does not match the requested `tuningType`
`file.size`	`Exceeded the disk usage limit. Please check if the file size is {limit} or less.`	The expected file size for the training request is exceeded
`file.encoding`	`Unsupported charset`	Non-UTF8-sig encoding
`file.format`	`Invalid json format. {reason}`	Unable to decode the dataset file (.json/.jsonl)
`file.format`	`Invalid dataset: required field empty. {column}`	The dataset file does not have the required columns
`file.format`	`Invalid dataset: unexpected column. {column}`	The dataset file has unexpected columns
`file.format`	`Invalid dataset: duplicate columns. {column}`	The dataset file is not case sensitive and contains duplicate columns
`file.format`	`Invalid dataset: column order`	The column order in the dataset file deviates from System_Prompt, C_ID, T_ID, Text, and Completion
`file.format`	`Invalid dataset: {column}`	The C_ID (or T_ID) in the dataset file does not satisfy the pattern of starting at 0 and incrementing by 1, or the value is empty
`file.error`	-	File read error
`resource.timeout`	-	Response timeout due to GPU acquisition failure; retry required
`clops.error`	-	CLOps error while training
`train.unknown`	-	Non-file related error while training

Response example

The response example is as follows:

Succeeded

The following is a sample response upon a successful call.

{
    "status": {
        "code": "20000",
        "message": "OK"
},
"result": {
    "id": "czf9fbky",
    "name": "230821-130704",
    "model": "HCX-003",
    "method": "LoRA",
    "taskType": "GENERATION",
    "trainEpochs": 8,
    "learningRate": 1.0E-4,
    "status": "WAIT",
    "statusInfo": {
        "label": null,
        "dataRows": null,
        "numOfTokens": null,
        "currStep": null,
        "totalTrainSteps": null,
        "currEpoch": null,
        "totalTrainEpochs": null,
        "estimatedTime": null,
        "trainLoss": null,
        "sendWeightSuccess": null,
        "failureReason": null,
        "message": null,
        "endDatetime": null
        },
        "createdClientType": "API",
        "createdDate": "2023-08-21T13:07:06+0900",
        "updatedDate": "2023-08-21T13:07:06+0900"
    }
}

Failure

The following is a sample response upon a failed call.

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Table of contents

Request
Response