aws / aws/amazon-sagemaker-examples

[Bug Report] Deploy fine-tune model got the parameter error message

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Dominant language
Jupyter Notebook
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Description

**Link to the notebook**
https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/llama-2-finetuning.ipynb

**Describe the bug**
When deploy the fine-tune model with the following code and got the parameter error message
`finetuned_predictor = estimator.deploy()`

**To reproduce**
Just execute it step by step until deploy the fine-tune model

**Logs**
ParamValidationError: Parameter validation failed:
Unknown parameter in PrimaryContainer: "ModelDataSource", must be one of: ContainerHostname, Image, ImageConfig, Mode, ModelDataUrl, Environment, ModelPackageName, InferenceSpecificationName, MultiModelConfig

[llama-fine-tune-error.log](https://github.com/aws/amazon-sagemaker-examples/files/12644540/llama-fine-tune-error.log)

Contributor guide

Open the contributing guide

Research direction

Start with introduction_to_amazon_algorithms/jumpstart-foundation-models/llama-2-finetuning.ipynb and execute the notebook through finetuned_predictor = estimator.deploy(). Read the linked error log alongside the ParamValidationError to identify the deployment incompatibility. Done means the fine-tuned model deploys without the reported parameter error.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook
Domain
cloud, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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