from mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.fine_tuning.resume(fine_tuning_job_id="ftjob_aa87e2b1112a455b8deabed784372198")

    # Handle response
    print(res)

{
  "id": "<string>",
  "object": "<unknown>",
  "created_at": 0,
  "model": "<string>",
  "training_file": "<string>",
  "organization_id": "<string>",
  "result_files": [
    "<string>"
  ],
  "seed": 0,
  "hyperparameters": {
    "batch_size": "<unknown>",
    "learning_rate_multiplier": "<unknown>",
    "n_epochs": "<unknown>"
  },
  "validation_file": "<string>",
  "fine_tuned_model": "<string>",
  "method": {
    "supervised": {
      "hyperparameters": {
        "batch_size": "<unknown>",
        "learning_rate_multiplier": "<unknown>",
        "n_epochs": "<unknown>"
      }
    },
    "dpo": {
      "hyperparameters": {
        "batch_size": "<unknown>",
        "beta": "<unknown>",
        "learning_rate_multiplier": "<unknown>",
        "n_epochs": "<unknown>"
      }
    },
    "reinforcement": {
      "grader": {
        "type": "<unknown>",
        "name": "<string>",
        "input": "<string>",
        "reference": "<string>"
      },
      "hyperparameters": {
        "batch_size": "<unknown>",
        "compute_multiplier": "<unknown>",
        "eval_interval": "<unknown>",
        "eval_samples": "<unknown>",
        "learning_rate_multiplier": "<unknown>",
        "n_epochs": "<unknown>"
      }
    }
  },
  "finished_at": 0,
  "estimated_finish": 0,
  "trained_tokens": 0,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "param": "<string>"
  },
  "integrations": [
    {
      "type": "<unknown>",
      "wandb": {
        "project": "<string>",
        "entity": "<string>",
        "name": "<string>",
        "tags": [
          "<string>"
        ]
      }
    }
  ],
  "metadata": {},
  "suffix": "<string>"
}