Mistral AI · Schema

Mistral Fine-Tuning Job

A fine-tuning job for customizing a Mistral model on user-provided training data, with configurable hyperparameters, status tracking, and integration support.

Properties

Name	Type	Description
id	string	Unique identifier for the fine-tuning job
auto_start	boolean	Whether training starts automatically after validation
model	string	The base model being fine-tuned
status	string	Current status of the fine-tuning job
job_type	string	Type of fine-tuning job (e.g., text, vision, classifier)
created_at	integer	Unix timestamp when the job was created
modified_at	integer	Unix timestamp when the job was last modified
training_files	array	IDs of training data files
validation_files	array	IDs of validation data files
hyperparameters	object
fine_tuned_model	stringnull	ID of the resulting fine-tuned model upon completion
suffix	string	User-specified suffix appended to the fine-tuned model name
integrations	array	Third-party integrations for experiment tracking

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://docs.mistral.ai/schemas/mistral/fine-tuning-job.json",
  "title": "Mistral Fine-Tuning Job",
  "description": "A fine-tuning job for customizing a Mistral model on user-provided training data, with configurable hyperparameters, status tracking, and integration support.",
  "type": "object",
  "required": ["id", "model", "status"],
  "properties": {
    "id": {
      "type": "string",
      "format": "uuid",
      "description": "Unique identifier for the fine-tuning job"
    },
    "auto_start": {
      "type": "boolean",
      "description": "Whether training starts automatically after validation"
    },
    "model": {
      "type": "string",
      "description": "The base model being fine-tuned"
    },
    "status": {
      "type": "string",
      "enum": [
        "QUEUED",
        "STARTED",
        "VALIDATING",
        "VALIDATED",
        "RUNNING",
        "FAILED_VALIDATION",
        "FAILED",
        "SUCCESS",
        "CANCELLED",
        "CANCELLATION_REQUESTED"
      ],
      "description": "Current status of the fine-tuning job"
    },
    "job_type": {
      "type": "string",
      "description": "Type of fine-tuning job (e.g., text, vision, classifier)"
    },
    "created_at": {
      "type": "integer",
      "description": "Unix timestamp when the job was created"
    },
    "modified_at": {
      "type": "integer",
      "description": "Unix timestamp when the job was last modified"
    },
    "training_files": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uuid"
      },
      "description": "IDs of training data files"
    },
    "validation_files": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uuid"
      },
      "description": "IDs of validation data files"
    },
    "hyperparameters": {
      "$ref": "#/$defs/Hyperparameters"
    },
    "fine_tuned_model": {
      "type": ["string", "null"],
      "description": "ID of the resulting fine-tuned model upon completion"
    },
    "suffix": {
      "type": "string",
      "maxLength": 18,
      "description": "User-specified suffix appended to the fine-tuned model name"
    },
    "integrations": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/Integration"
      },
      "description": "Third-party integrations for experiment tracking"
    }
  },
  "$defs": {
    "Hyperparameters": {
      "type": "object",
      "description": "Hyperparameters for the fine-tuning job",
      "properties": {
        "training_steps": {
          "type": "integer",
          "minimum": 1,
          "description": "Number of training steps"
        },
        "learning_rate": {
          "type": "number",
          "minimum": 0,
          "description": "Learning rate"
        },
        "weight_decay": {
          "type": "number",
          "minimum": 0,
          "description": "Weight decay regularization factor"
        },
        "warmup_fraction": {
          "type": "number",
          "minimum": 0,
          "maximum": 1,
          "description": "Fraction of total steps for learning rate warmup"
        },
        "epochs": {
          "type": "number",
          "minimum": 0,
          "description": "Number of training epochs"
        },
        "seq_len": {
          "type": "integer",
          "description": "Maximum sequence length for training"
        }
      }
    },
    "Integration": {
      "type": "object",
      "description": "A third-party integration for experiment tracking",
      "required": ["type"],
      "properties": {
        "type": {
          "type": "string",
          "enum": ["wandb"],
          "description": "Integration provider type"
        },
        "project": {
          "type": "string",
          "description": "Project name in the integration platform"
        },
        "name": {
          "type": "string",
          "description": "Run name in the integration platform"
        }
      }
    }
  }
}