Fine Tuning List

GET

/finetuning/

curl --request GET \
  --url 'https://api.e2enetworks.com/myaccount/api/v1/gpu/finetuning/?project_id=<PROJECT_ID>&location=<LOCATION>&apikey=<API_KEY>' \
  --header 'Authorization: Bearer <API_TOKEN>'

import requests

response = requests.get(
    "https://api.e2enetworks.com/myaccount/api/v1/gpu/finetuning/",
    params={"project_id": "<PROJECT_ID>", "location": "<LOCATION>", "apikey": "<API_KEY>"},
    headers={"Authorization": "Bearer <API_TOKEN>"},
)
print(response.json())

const url = new URL("https://api.e2enetworks.com/myaccount/api/v1/gpu/finetuning/");
url.search = new URLSearchParams({ project_id: "<PROJECT_ID>", location: "<LOCATION>", apikey: "<API_KEY>" });

const response = await fetch(url, {
  method: "GET",
  headers: { "Authorization": "Bearer <API_TOKEN>" },
});
console.log(await response.json());

Parameters

Query Parameters

project_id

required

integer

Project ID

active_iam

integer

Active IAM ID (To access contact person account) Find your Active IAM ID here

location

required

string

Allowed values: Delhi Chennai

Location

Responses

200

Successful response with a list of training job details.

application/json

object

code

HTTP status code for the operation.

integer

data

List of training job details.

Array<object>

object

Unique identifier of the training job.

integer

name

Name of the training job.

string

model_name

Name of the model used for training.

string

training_inputs

Configuration of the training job.

object

dataset

string

dataset_name

string

source_model_repo_info

string

source_repository_type

string

source_model_path

string

task

string

dataset_type

string

train_batch_size

integer

gradient_accumulation_steps

integer

epochs

integer

max_steps

integer

checkpointing_steps

integer

checkpoints_total_limit

integer

peft_lora_r

integer

peft_lora_alpha

integer

load_in_8bit

boolean

mixed_precision

string

validation_prompt

string

num_validation_images

integer

logging_steps

integer

learning_rate

number format: float

limit_training_records_count

integer

caption_column

string

image_column

string

save_strategy

string

stop_training_when

string

run

Details of the training run.

object

integer

name

string

run_id

string

state

string

progress

string

finished_at

string format: date-time

created_at

string format: date-time

source

string

scheduled_job

string

status

Current status of the training job.

string

created_by

User details who created the job.

object

integer

name

string

email

string

username

string

created_at

string format: date-time

hugging_face_integration_name

string

sku_item_price

Pricing details for the training job.

object

sku_item_price_id

integer

sku_type

string

unit_price

number format: float

currency

string

sku

SKU information of the compute resource.

object

sku_id

integer

name

string

series

string

cpu

integer

gpu

integer

memory

number format: float

errors

Contains any errors that occurred.

object

message

Result message confirming the operation.

string

Example

{
  "code": 200,
  "data": [
    {
      "id": 810,
      "name": "tir-finetuning-111511093030",
      "model_name": "stabilityai/stable-diffusion-2-1",
      "training_inputs": {
        "dataset": "lambdalabs/naruto-blip-captions",
        "dataset_name": "lambdalabs/naruto-blip-captions",
        "source_model_repo_info": "",
        "source_repository_type": "base_model",
        "source_model_path": "",
        "task": "Instruction-Finetuning",
        "dataset_type": "huggingface",
        "train_batch_size": 1,
        "gradient_accumulation_steps": 1,
        "epochs": 3,
        "max_steps": -1,
        "checkpointing_steps": 500,
        "checkpoints_total_limit": 10,
        "peft_lora_r": 64,
        "peft_lora_alpha": 16,
        "load_in_8bit": false,
        "mixed_precision": "no",
        "validation_prompt": "A photo of a man with green eyes",
        "num_validation_images": 2,
        "logging_steps": 5,
        "learning_rate": 0.0000141,
        "limit_training_records_count": -1,
        "caption_column": "text",
        "image_column": "image",
        "save_strategy": "steps",
        "stop_training_when": "epoch_count"
      },
      "run": {
        "id": 2444,
        "name": "tir-finetuning-111511093030",
        "run_id": "b9177463-124d-4d98-94d8-2eec42ded928",
        "state": "Pending",
        "progress": "",
        "finished_at": "1970-01-01T00:00:00Z",
        "created_at": "2024-11-15T06:10:07.626165Z",
        "source": "finetuning",
        "scheduled_job": null
      },
      "status": "Pending",
      "created_by": {
        "id": 3573,
        "name": "Nipun",
        "email": "nipun.arora@e2enetworks.com",
        "username": "nipun.arora@e2enetworks.com"
      },
      "created_at": "2024-11-15T06:10:06.278937Z",
      "hugging_face_integration_name": "tir",
      "sku_item_price": {
        "sku_item_price_id": 763,
        "sku_type": "hourly",
        "unit_price": 470.4,
        "currency": "INR"
      },
      "sku": {
        "sku_id": 166,
        "name": "GDC.1xH200-30.375GB_SXM",
        "series": "GPU",
        "cpu": 30,
        "gpu": 1,
        "memory": 375
      }
    }
  ],
  "errors": {},
  "message": "Success"
}