Get Fine Tuning Job

Get a fine tuned job details by its UUID.

{ "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08", "hyperparameters": { "training_steps": 1, "learning_rate": 0.0001 }, "model": "open-mistral-7b", "status": "QUEUED", "job_type": "string", "created_at": 0, "modified_at": 0, "training_files": [ "497f6eca-6276-4993-bfeb-53cbbbba6f08" ], "validation_files": [], "object": "job", "fine_tuned_model": "string", "integrations": [ { "type": "wandb", "project": "string", "name": "string" } ], "events": [], "checkpoints": [] }

Responses

🟢200OK

application/json

Body

string <uuid>

required

hyperparameters

object (TrainingParameters)

required

The fine-tuning hyperparameter settings used in a fine-tune job.

training_steps

integer

Training Steps

required

The number of training steps to perform. A training step refers to
a single update of the model weights during the fine-tuning process.
This update is typically calculated using a batch of samples from the
training dataset.

>= 1

learning_rate

number

Learning Rate

optional

A parameter describing how much to adjust the pre-trained model's weights
in response to the estimated error each time the weights are updated during
the fine-tuning process.

>= 1e-8<= 1

Default:

0.0001

model

enum<string>

required

The name of the model to fine-tune.

Allowed values:

open-mistral-7bmistral-small-latest

status

enum<string>

Status

required

The current status of the fine-tuning job.

Allowed values:

QUEUEDSTARTEDRUNNINGFAILEDSUCCESSCANCELLEDCANCELLATION_REQUESTED

job_type

string

Job Type

required

The type of job (FT for fine-tuning).

created_at

integer

Created At

required

The UNIX timestamp (in seconds) for when the fine-tuning job was created.

modified_at

integer

Modified At

required

The UNIX timestamp (in seconds) for when the fine-tuning job was last modified.

training_files

array[string <uuid>]

Training Files

required

A list containing the IDs of uploaded files that contain training data.

validation_files

array[string <uuid>]

Validation Files

optional

A list containing the IDs of uploaded files that contain validation data.

object

Object

optional

Allowed value:

job

Default:

job

fine_tuned_model

string

Fine Tuned Model

optional

The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.

integrations

array[object (WandbIntegrationOut) {3}]

Integrations

optional

A list of integrations enabled for your fine-tuning job.

type

Type

optional

Allowed value:

wandb

Default:

wandb

project

string

Project

required

The name of the project that the new run will be created under.

name

string

Name

optional

A display name to set for the run. If not set, will use the job ID as the name.

events

array[object (EventOut) {3}]

Events

optional

Event items are created every time the status of a fine-tuning job changes.
The timestamped list of all events is accessible here.

name

string

Name

required

The name of the event.

data

enum<string>

Data

optional

The status of the fine-tuning job at the time of the event

Allowed values:

QUEUEDSTARTEDRUNNINGFAILEDSUCCESSCANCELLEDCANCELLATION_REQUESTED

created_at

integer

Created At

required

The UNIX timestamp (in seconds) of the event.

checkpoints

array[object (CheckpointOut) {3}]

Checkpoints

optional

metrics

object (MetricOut)

required

Metrics at the step number during the fine-tuning job. Use these metrics to
assess if the training is going smoothly (loss should decrease, token accuracy
should increase).

step_number

integer

Step Number

required

The step number that the checkpoint was created at.

created_at

integer

Created At

required

The UNIX timestamp (in seconds) for when the checkpoint was created.

Request

Responses