Creates a fine-tuning job which begins the process of creating a new model from a given dataset.
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Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Optional metadata for the request
Fine-tuning job parameters
The name of the model to fine-tune
The ID of an uploaded file that contains training data
The hyperparameters used for the fine-tuning job (deprecated)
A list of integrations to enable for your fine-tuning job
Set of 16 key-value pairs that can be attached to an object
The method used for fine-tuning
The seed controls the reproducibility of the job
A string of up to 64 characters that will be added to your fine-tuned model name
The ID of an uploaded file that contains validation data
Fine-tuning job created successfully
The object type
fine_tuning.job The fine-tuning job ID
The model being fine-tuned
The Unix timestamp when the job was created
The name of the fine-tuned model that is being created
The organization that owns the fine-tuning job
The compiled results files for the fine-tuning job
The current status of the fine-tuning job
queued, running, succeeded, failed, cancelled The file ID used for validation
The file ID used for training
The Unix timestamp when the job finished
The hyperparameters used for the fine-tuning job
The total number of tokens used for training
A list of integrations enabled for the fine-tuning job
The seed used for the fine-tuning job
The estimated finish timestamp for the job
The method used for fine-tuning
Set of 16 key-value pairs that can be attached to an object