Mistral AI · Schema

Mistral AI Fine-Tuning Job

Schema for a Mistral AI fine-tuning job, including training configuration, hyperparameters, integrations, and job status tracking.

AgentsArtificial IntelligenceBatch ProcessingChatEmbeddingsFine-TuningLarge Language ModelsOCR

Properties

Name	Type	Description
id	string	Unique identifier for the fine-tuning job.
model	string	The base model being fine-tuned.
status	string	The current status of the fine-tuning job.
job_type	string	The type of fine-tuning job.
auto_start	boolean	Whether the job was configured to auto-start after validation.
training_files	array	Training files used for this job.
validation_files	array	Validation files used for evaluating the model during training.
hyperparameters	object
fine_tuned_model	string	The ID of the resulting fine-tuned model, set after successful completion.
integrations	array	External integrations enabled for this job.
created_at	integer	Unix timestamp when the job was created.
modified_at	integer	Unix timestamp when the job was last modified.
suffix	string	A suffix appended to the fine-tuned model name.

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://mistral.ai/schemas/mistral-ai/fine-tuning-job.json",
  "title": "Mistral AI Fine-Tuning Job",
  "description": "Schema for a Mistral AI fine-tuning job, including training configuration, hyperparameters, integrations, and job status tracking.",
  "type": "object",
  "required": ["id", "model", "status"],
  "$defs": {
    "TrainingFile": {
      "type": "object",
      "description": "A reference to a training file with an optional weight.",
      "required": ["file_id"],
      "properties": {
        "file_id": {
          "type": "string",
          "format": "uuid",
          "description": "The ID of the uploaded training file."
        },
        "weight": {
          "type": "number",
          "description": "The relative weight of this training file in the training mix.",
          "minimum": 0,
          "default": 1.0
        }
      }
    },
    "Hyperparameters": {
      "type": "object",
      "description": "Configurable hyperparameters for a fine-tuning job.",
      "properties": {
        "training_steps": {
          "type": "integer",
          "description": "The number of training steps to run.",
          "minimum": 1
        },
        "learning_rate": {
          "type": "number",
          "description": "The learning rate for optimization.",
          "minimum": 0,
          "exclusiveMinimum": true
        },
        "weight_decay": {
          "type": "number",
          "description": "Weight decay coefficient for regularization.",
          "minimum": 0
        },
        "warmup_fraction": {
          "type": "number",
          "description": "Fraction of total steps used for learning rate warmup.",
          "minimum": 0,
          "maximum": 1
        }
      }
    },
    "Integration": {
      "type": "object",
      "description": "An external integration for experiment tracking during training.",
      "required": ["type"],
      "properties": {
        "type": {
          "type": "string",
          "description": "The integration provider type.",
          "enum": ["wandb"]
        },
        "project": {
          "type": "string",
          "description": "The project name in the integration platform."
        },
        "name": {
          "type": "string",
          "description": "The run name in the integration platform."
        },
        "api_key": {
          "type": "string",
          "description": "API key for authenticating with the integration service."
        }
      }
    }
  },
  "properties": {
    "id": {
      "type": "string",
      "format": "uuid",
      "description": "Unique identifier for the fine-tuning job."
    },
    "model": {
      "type": "string",
      "description": "The base model being fine-tuned."
    },
    "status": {
      "type": "string",
      "description": "The current status of the fine-tuning job.",
      "enum": [
        "QUEUED",
        "STARTED",
        "VALIDATING",
        "VALIDATED",
        "RUNNING",
        "FAILED_VALIDATION",
        "FAILED",
        "SUCCESS",
        "CANCELLED",
        "CANCELLATION_REQUESTED"
      ]
    },
    "job_type": {
      "type": "string",
      "description": "The type of fine-tuning job."
    },
    "auto_start": {
      "type": "boolean",
      "description": "Whether the job was configured to auto-start after validation."
    },
    "training_files": {
      "type": "array",
      "description": "Training files used for this job.",
      "items": {
        "$ref": "#/$defs/TrainingFile"
      }
    },
    "validation_files": {
      "type": "array",
      "description": "Validation files used for evaluating the model during training.",
      "items": {
        "type": "string",
        "format": "uuid"
      }
    },
    "hyperparameters": {
      "$ref": "#/$defs/Hyperparameters"
    },
    "fine_tuned_model": {
      "type": "string",
      "description": "The ID of the resulting fine-tuned model, set after successful completion."
    },
    "integrations": {
      "type": "array",
      "description": "External integrations enabled for this job.",
      "items": {
        "$ref": "#/$defs/Integration"
      }
    },
    "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."
    },
    "suffix": {
      "type": "string",
      "description": "A suffix appended to the fine-tuned model name.",
      "maxLength": 18
    }
  }
}