Updates to fine tune spec

Author: stevenheidel

openapi.yaml

@@ -323,7 +323,7 @@ paths:
  "finish_reason": null
  }
  ],
- "model": "text-davinci-003"
+ "model": "gpt-3.5-turbo-instruct"
  }
  /edits:
  post:
@@ -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",
  }
@@ -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},
@@ -2270,6 +2270,7 @@ components:
  [
  "babbage-002",
  "davinci-002",
+ "gpt-3.5-turbo-instruct",
  "text-davinci-003",
  "text-davinci-002",
  "text-davinci-001",
@@ -2508,9 +2509,8 @@ components:
  type: string
  description: &completion_finish_reason_description |
  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
- `length` if the maximum number of tokens specified in the request was reached,
- or `content_filter` if content was omitted due to a flag from our content filters.
- enum: ["stop", "length", "content_filter"]
+ or `length` if the maximum number of tokens specified in the request was reached.
+ enum: ["stop", "length"]
  usage:
  $ref: "#/components/schemas/CompletionUsage"
  required:
@@ -2814,10 +2814,8 @@ components:
  type: string
  description: &chat_completion_finish_reason_description |
  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
- `length` if the maximum number of tokens specified in the request was reached,
- `content_filter` if content was omitted due to a flag from our content filters,
- or `function_call` if the model called a function.
- enum: ["stop", "length", "function_call", "content_filter"]
+ `length` if the maximum number of tokens specified in the request was reached, or `function_call` if the model called a function.
+ enum: ["stop", "length", "function_call"]
  usage:
  $ref: "#/components/schemas/CompletionUsage"
  required:
@@ -3870,7 +3868,7 @@ 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.
@@ -3884,10 +3882,11 @@ 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).
@@ -3920,11 +3919,15 @@ 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