Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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Profile model training performance using Cloud Profiler: Notebook
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In this tutorial, you learn how to enable Profiler for custom training jobs.
Notebook: Profile model training performance using Cloud Profiler
This tutorial uses the following Google Cloud ML services and resources:
Vertex AI training
Vertex AI TensorBoard
The steps performed include:
Set up a service account and a Cloud Storage bucket.
Create a Vertex AI TensorBoard instance.
Create and run a custom training job that enables Profiler.
View the Profiler dashboard to debug your model training performance.
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Last updated 2024-09-11 UTC.
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