Cancel Job

from together import Together
import os

client = Together(
    api_key=os.environ.get("TOGETHER_API_KEY"),
)

response = client.fine_tuning.cancel(id="ft-id")

print(response)

{
  "id": "ft-01234567890123456789",
  "status": "completed",
  "created_at": "2023-05-17T17:35:45.123Z",
  "updated_at": "2023-05-17T18:46:23.456Z",
  "user_id": "user_01234567890123456789",
  "owner_address": "[email protected]",
  "total_price": 1500,
  "token_count": 850000,
  "events": [],
  "model": "meta-llama/Llama-2-7b-hf",
  "model_output_name": "mynamespace/meta-llama/Llama-2-7b-hf-32162631",
  "n_epochs": 3,
  "training_file": "file-01234567890123456789",
  "wandb_project_name": "my-finetune-project"
}

POST

fine-tunes

{id}

cancel

from together import Together
import os

client = Together(
    api_key=os.environ.get("TOGETHER_API_KEY"),
)

response = client.fine_tuning.cancel(id="ft-id")

print(response)

{
  "id": "ft-01234567890123456789",
  "status": "completed",
  "created_at": "2023-05-17T17:35:45.123Z",
  "updated_at": "2023-05-17T18:46:23.456Z",
  "user_id": "user_01234567890123456789",
  "owner_address": "[email protected]",
  "total_price": 1500,
  "token_count": 850000,
  "events": [],
  "model": "meta-llama/Llama-2-7b-hf",
  "model_output_name": "mynamespace/meta-llama/Llama-2-7b-hf-32162631",
  "n_epochs": 3,
  "training_file": "file-01234567890123456789",
  "wandb_project_name": "my-finetune-project"
}

Authorizations

Authorization

string

header

default:default

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

string

required

Fine-tune ID to cancel. A string that starts with ft-.

Response

Successfully cancelled the fine-tuning job.

A truncated version of the fine-tune response, used for POST /fine-tunes, GET /fine-tunes and POST /fine-tunes/{id}/cancel endpoints

string

required

Unique identifier for the fine-tune job

status

enum<string>

required

Available options:

pending,

queued,

running,

compressing,

uploading,

cancel_requested,

cancelled,

error,

completed

created_at

string<date-time>

required

Creation timestamp of the fine-tune job

updated_at

string<date-time>

required

Last update timestamp of the fine-tune job

user_id

string

Identifier for the user who created the job

owner_address

string

Owner address information

total_price

integer

Total price for the fine-tuning job

token_count

integer

Count of tokens processed

events

object[]

Events related to this fine-tune job

Show child attributes

training_file

string

File-ID of the training file

validation_file

string

File-ID of the validation file

model

string

Base model used for fine-tuning

model_output_name

string

suffix

string

Suffix added to the fine-tuned model name

n_epochs

integer

Number of training epochs

n_evals

integer

Number of evaluations during training

n_checkpoints

integer

Number of checkpoints saved during training

batch_size

integer

Batch size used for training

training_type

object

Type of training used (full or LoRA)

Option 1
Option 2

Show child attributes

training_method

object

Method of training used

Option 1
Option 2

Show child attributes

learning_rate

number

Learning rate used for training

lr_scheduler

object

Learning rate scheduler configuration

Show child attributes

warmup_ratio

number

Ratio of warmup steps

max_grad_norm

number

Maximum gradient norm for clipping

weight_decay

number

Weight decay value used

wandb_project_name

string

Weights & Biases project name

wandb_name

string

Weights & Biases run name

from_checkpoint

string

Checkpoint used to continue training

from_hf_model

string

Hugging Face Hub repo to start training from

hf_model_revision

string

The revision of the Hugging Face Hub model to continue training from

Download Model

Delete A Fine-tuning Event

⌘I

Together APIs

Command Line Interface

General

Authorizations

Path Parameters

Response