ProjectDetail

Project Object

id string

The unique identifier for the project

Example: ms-12345

name string

The name of the project

Example: my_project

datasets object[]

Array [

id string

The unique identifier for the dataset

Example: ds-12345

name string

The name of the dataset

Example: my_dataset

created_at integer

The UNIX timestamp when the dataset was created

Example: 1633036800

is_uploaded boolean

Example: true

]

training_jobs object[]

Array [

id string

The unique identifier for the training job

Example: tr-12345

name string

The name of the training job

Example: training-1

training_technique string

Training technique that has been used for this training job

Possible values: [SFT, GRPO]

Example: SFT

task_type string

Possible values: [text-generation, classification, embedding, regression]

Example: classification

base_model_option string

Base model option used for training

Possible values: [pre-trained, fine-tuned]

Example: pre-trained

base_model string

The base model used for training

Example: Llama-3.2-1B-Instruct

base_fine_tuned_model string

(base_model_option == "fine-tuned") Fine-tuned model that is used as a base model for the training job

Example: training-job-1

base_fine_tuned_model_checkpoint int

(base_model_option == "fine-tuned") Check point that is used as a base model for the training job

Example: 5

train_dataset_name string

Name of the dataset used for fine-tuning

Example: train-dataset-1

test_functions string[]

Example: ["test_similarity_shared"]

reward object

(GRPO) Reward weight map

test_function_1 float

Example: 0.2

test_function_2 float

Example: 0.8

status string

The current status of the training job

Possible values: [Pending, Running, Success, Testing, Failed, TimedOut, Cancelled]

Example: Running

progress integer

The current progress of the training job

Example: 75

created_by string

The user ID who created the training job

Example: user-12345

created_at integer

The timestamp when the TrainingJob was created

Example: 1633036800

updated_at integer

The timestamp when the TrainingJob was last updated

Example: 1633036800

]

deployments object[]

Array [

id string

The unique identifier for the deployment

Example: dp-12345

name string

The name of the deployment

Example: deployment-1

status string

The current status of the deployment

Possible values: [Pending, Deploying, Deployed, Failed, Cancelled, Terminated, Deactivated, Reactivating, TimedOut]

Example: Deployed

created_at integer

The timestamp when the deployment was created

Example: 1633036800

]

ProjectDetail

{
  "id": "ms-12345",
  "name": "my_project",
  "datasets": [
    {
      "id": "ds-12345",
      "name": "my_dataset",
      "created_at": 1633036800,
      "is_uploaded": true
    }
  ],
  "training_jobs": [
    {
      "id": "tr-12345",
      "name": "training-1",
      "training_technique": "SFT",
      "task_type": "classification",
      "base_model_option": "pre-trained",
      "base_model": "Llama-3.2-1B-Instruct",
      "base_fine_tuned_model": "training-job-1",
      "base_fine_tuned_model_checkpoint": 5,
      "train_dataset_name": "train-dataset-1",
      "test_functions": [
        "test_similarity_shared"
      ],
      "reward": {
        "test_function_1": 0.2,
        "test_function_2": 0.8
      },
      "status": "Running",
      "progress": 75,
      "created_by": "user-12345",
      "created_at": 1633036800,
      "updated_at": 1633036800
    }
  ],
  "deployments": [
    {
      "id": "dp-12345",
      "name": "deployment-1",
      "status": "Deployed",
      "created_at": 1633036800
    }
  ]
}