o CjiU@sddlmZddlmZmZmZddlmZddlZddl m Z m Z m Z m Z mZddlmZddlmZmZdd lmZmZdd lmZmZdd lmZmZdd lmZmZm Z m!Z!m"Z"erfdd l#m$Z$m%Z%ddgZ&GdddeZ'GdddeZ(GdddZ)GdddZ*dS)) annotations) TYPE_CHECKINGUnionOptional)LiteralN) NOT_GIVENBodyQueryHeadersNotGiven)maybe_transform)SyncAPIResourceAsyncAPIResource)to_raw_response_wrapperasync_to_raw_response_wrapper)SyncCursorPageAsyncCursorPage)AsyncPaginatormake_request_options) FineTuningJobFineTuningJobEventjob_list_paramsjob_create_paramsjob_list_events_params)OpenAI AsyncOpenAIJobs AsyncJobsceZdZUded<d0fdd Zeeed d d ed d1ddZd d d edd2d!d"Zeed d d ed#d3d)d*Zd d d edd2d+d,Z eed d d ed#d4d.d/Z Z S)5rJobsWithRawResponsewith_raw_responseclientrreturnNonect|t||_dSN)super__init__r r!selfr" __class__x/var/www/html/Resume-Parser/resume-parser-inhouse/venv/lib/python3.10/site-packages/openai/resources/fine_tuning/jobs.pyr(! z Jobs.__init__Nhyperparameterssuffixvalidation_file extra_headers extra_query extra_bodytimeoutmodelBUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo']] training_filestrr1,job_create_params.Hyperparameters | NotGivenr2Optional[str] | NotGivenr3r4Headers | Noner5 Query | Noner6 Body | Noner7'float | httpx.Timeout | None | NotGivenrc Cs2|jdt|||||dtjt|||| dtdS) Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) Args: model: The name of the model to fine-tune. You can select one of the [supported models](https://platform.openai.com/docs/guides/fine-tuning/what-models-can-be-fine-tuned). training_file: The ID of an uploaded file that contains training data. See [upload file](https://platform.openai.com/docs/api-reference/files/upload) for how to upload a file. Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more details. hyperparameters: The hyperparameters used for the fine-tuning job. suffix: A string of up to 18 characters that will be added to your fine-tuned model name. For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`. validation_file: The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files. Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more details. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds /fine_tuning/jobsr8r:r1r2r3r4r5r6r7bodyoptionscast_to_postr rJobCreateParamsrr r*r8r:r1r2r3r4r5r6r7r-r-r.create%s C z Jobs.createrEfine_tuning_job_idcCs"|jd|t||||dtdS) Get info about a fine-tuning job. 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