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Updates to fine-tuning spec #89

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merged 2 commits into from
Sep 21, 2023
Merged

Updates to fine-tuning spec #89

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e3efc59
Updates to fine tune spec
stevenheidel Sep 20, 2023
78196bb
Sync external api spec back to internal
stevenheidel Sep 21, 2023
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22 changes: 14 additions & 8 deletions openapi.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -323,7 +323,7 @@ paths:
"finish_reason": null
}
],
"model": "text-davinci-003"
"model": "gpt-3.5-turbo-instruct"
}
/edits:
post:
Expand Down Expand Up @@ -1136,7 +1136,7 @@ paths:
"fine_tuned_model": null,
"organization_id": "org-123",
"result_files": [],
"status": "pending",
"status": "queued",
"validation_file": null,
"training_file": "file-abc123",
}
Expand Down Expand Up @@ -1183,7 +1183,7 @@ paths:
"fine_tuned_model": null,
"organization_id": "org-123",
"result_files": [],
"status": "pending",
"status": "queued",
"validation_file": null,
"training_file": "file-abc123",
"hyperparameters":{"n_epochs":2},
Expand Down Expand Up @@ -2270,6 +2270,7 @@ components:
[
"babbage-002",
"davinci-002",
"gpt-3.5-turbo-instruct",
"text-davinci-003",
"text-davinci-002",
"text-davinci-001",
Expand Down Expand Up @@ -3870,7 +3871,7 @@ components:
description: The organization that owns the fine-tuning job.
status:
type: string
description: The current status of the fine-tuning job, which can be either `created`, `pending`, `running`, `succeeded`, `failed`, or `cancelled`.
description: The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
hyperparameters:
type: object
description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
Expand All @@ -3884,10 +3885,11 @@ components:
maximum: 50
default: auto
description:
The number of epochs to train the model for. An epoch refers to one
full cycle through the training dataset.
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

"Auto" decides the optimal number of epochs based on the size of the dataset. If setting the number manually, we support any number between 1 and 50 epochs.
"auto" decides the optimal number of epochs based on the size of the dataset. If setting the number manually, we support any number between 1 and 50 epochs.
required:
- n_epochs
training_file:
type: string
description: The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents).
Expand Down Expand Up @@ -3920,11 +3922,15 @@ components:
type: string
description: The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific.
nullable: true
required:
- message
- code
- param
required:
- id
- object
- created_at
- updated_at
- finished_at
- model
- fine_tuned_model
- organization_id
Expand Down
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