{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Retrain your HuggingFace Model\n", "Once we have these extra human labelled results, we need to retrain our model utilising the new annotations and then (re)deploy the model\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import boto3\n", "import sagemaker\n", "import botocore\n", "sm_client = boto3.client(\"sagemaker\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "pipeline_name = f\"SentimentModelRetrain\"\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "try:\n", " sm_client.describe_pipeline(PipelineName=pipeline_name)\n", " response = sm_client.start_pipeline_execution(\n", " PipelineName=pipeline_name,\n", " PipelineExecutionDisplayName='Manual-Retrain-Execution',\n", " PipelineExecutionDescription='Execution triggered manually by user on notebook 4 to simulate retraining and fine tuning of model given the new human reviews',\n", " )\n", "\n", "except botocore.exceptions.ClientError as error:\n", " print(error)\n", " print(\"----------\")\n", " print(\"You have either not created the pipeline or have changed the default name. Please return to notebook '1' and check if the pipeline was successfully created or you used a different pipeline name\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "sm_client.describe_pipeline_execution(\n", " PipelineExecutionArn=response[\"PipelineExecutionArn\"]\n", " )" ] }, { "attachments": { "4-retrain.png": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABEUAAADWCAYAAAA3pjxGAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2Vu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\n" } }, "cell_type": "markdown", "metadata": {}, "source": [ "## Alternatively use the SageMaker Studio UI\n", "\n", "Navigate to the pipeline page, and click on create execution.\n", "
\n", "![4-retrain.png](images/4-retrain.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### You can now navigate to the pipeline execution page and see a new run of the pipeline being started" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can now wait for it to finish, then approve the latest model, and finally update the live model. \n", "
\n", "Once the above is done, all you need to do is run again the notebook \n", "`2B_model_deploy.ipynb` which will update your live endpont with the latest improved model, and then optionally run notebooks `3` and `4` as you see fit \n", "\n", "\n", "## Congatulations, you reached the end of this workshop!" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "instance_type": "ml.t3.medium", "kernelspec": { "display_name": "Python 3 (Data Science)", "language": "python", "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west-1:470317259841:image/datascience-1.0" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" } }, "nbformat": 4, "nbformat_minor": 4 }