components aoai_finetune_pipeline - Azure/azureml-assets GitHub Wiki

AOAI Proxy Finetune Pipeline

aoai_finetune_pipeline

Overview

Pipeline component for proxy fine-tuning with AOAI

Version: 0.0.1

View in Studio: https://ml.azure.com/registries/azureml/components/aoai_finetune_pipeline/version/0.0.1

Inputs

Name Description Type Default Optional Enum
endpoint_name The endpoint name or AOAI resource name. string False
endpoint_resource_group Resource group for the AOAI resource. string True
endpoint_subscription Subscription for the AOAI resource. string True
train_dataset source file/folder for training dataset. uri_file False
validation_dataset source file/folder for validation dataset. uri_file True
model GPT model engine string gpt-35-turbo-0613 False ['babbage-002', 'davinci-002', 'gpt-35-turbo-0125', 'gpt-35-turbo-1106', 'gpt-35-turbo-0613', 'gpt-4']
task_type Dataset type - chat or completion string False ['chat', 'completion']
registered_model_name User-defined registered model name string False
n_epochs Number of training epochs. If set to -1, number of epochs will be determined dynamically based on the input data. integer -1 False
batch_size Global batch size. If set to -1, batch size will be determined dynamically based on the input data. integer -1 False
learning_rate_multiplier The learning rate multiplier to use for training. number 1.0 False

Outputs

Name Description Type
finetune_submit_output Contains finetune submit output file in JSON/custom class format uri_file
⚠️ **GitHub.com Fallback** ⚠️