FineTuneDPOMethod
objectConfiguration for the DPO fine-tuning method.
The hyperparameters used for the fine-tuning job.
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FineTuneMethod
objectThe method used for fine-tuning.
The type of method. Is either supervised or dpo.
Allowed values:superviseddpo
Configuration for the supervised fine-tuning method.
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Configuration for the DPO fine-tuning method.
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FineTunePreferenceRequestInput
objectThe per-line training example of a fine-tuning input file for chat models using the dpo method.
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One OfThe preferred completion message for the output.
<= 1 items
Messages sent by the model in response to user messages.
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One OfThe non-preferred completion message for the output.
<= 1 items
Messages sent by the model in response to user messages.
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FineTuneSupervisedMethod
objectConfiguration for the supervised fine-tuning method.
The hyperparameters used for the fine-tuning job.
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Fine-Tuning Job Integration
objectThe type of the integration being enabled for the fine-tuning job
Allowed values:wandb
The settings for your integration with Weights and Biases. This payload specifies the project that
metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags
to your run, and set a default entity (team, username, etc) to be associated with your run.