# ai_finetuning_v1_org_user_trainings_finetuned_models_retrieve

Retrieves a paginated list of completed fine-tuned models, excluding those without a fine-tuned model.
Filtering and pagination is allowed.

NB: This is only a helper endpoint. The same functionality can be achieved with the appropriate filters using the
    training list endpoint.
Returns:
    Response: A paginated response containing the serialized fine-tuned models.

Endpoint: GET /api/ai-finetuning/v1/org/{org}/user/{username}/trainings/finetuned-models/
Version: 3.59.0-ai-plus
Security: PlatformApiKeyAuthentication

## Path parameters:

  - `org` (string, required)

  - `username` (string, required)

## Response 200 fields (application/json):

  - `id` (string)

  - `dataset` (object, required)

  - `dataset.platform` (object,null, required)

  - `dataset.name` (string, required)

  - `dataset.prompt` (string)
    (if any) Special instructions for generating the dataset. This could be requirements on tone, language, style, etc.

  - `dataset.source_url` (string)

  - `dataset.source_file` (string)

  - `dataset.status` (string)
    *  - Pending
*  - Processing
*  - Completed
*  - Failed
    Enum: "pending", "processing", "completed", "failed"

  - `dataset.num_data_points` (integer)

  - `dataset.train_split` (number)

  - `dataset.train_file` (string)

  - `dataset.test_file` (string)

  - `dataset.retry_attempts` (integer)

  - `dataset.error_log` (string)

  - `dataset.date_created` (string, required)

  - `dataset.last_modified` (string, required)

  - `project_name` (string, required)

  - `metadata` (any)

  - `status` (string)
    *  - Trained
*  - Failed
*  - Pending
*  - Untrained
    Enum: "trained", "failed", "pending", "untrained"

  - `fine_tuned_model` (string)

  - `provider` (string)
    *  - Openai
    Enum: "openai"

  - `base_model_name` (string, required)

  - `text_column` (string)

  - `learning_rate` (number)

  - `batch_size` (integer)

  - `num_epochs` (integer)

  - `block_size` (integer)

  - `warmup_ratio` (number)

  - `lora_r` (integer)

  - `lora_alpha` (integer)

  - `lora_dropout` (number)

  - `weight_decay` (number)

  - `gradient_accumulation` (integer)

  - `use_peft` (boolean)

  - `use_fp16` (boolean)

  - `use_int4` (boolean)

  - `push_to_hub` (boolean)

  - `repo_id` (string)

  - `preprocess_dataset` (boolean)

  - `prompt_column` (string)

  - `response_column` (string)

  - `prompt_prefix` (string)

  - `prompt_suffix` (string)

  - `response_prefix` (string)

  - `response_suffix` (string)