logs not showing up in cloudwatch

When deploying a question answering model with later versions of python, transformers and pytorch the logs do not seem to be seen in cloudwatch. If I deploy the same model but with older python and module versions the logs can be seen in cloudwatch.

# Recreate the issue

## Case 1, No logs seen

### Code
```

hub = {
'HF_MODEL_ID':'distilbert-base-uncased-distilled-squad',
'HF_TASK':'question-answering'
}

huggingface_model = HuggingFaceModel(
env=hub,
role=role,
transformers_version="4.12.3",
pytorch_version="1.9.1",
py_version="py38",
)
predictor = huggingface_model.deploy(
initial_instance_count=1,
instance_type="ml.m5.xlarge"
)

data = {
"inputs": {
"question": "What is used for inference?",
"context": "My Name is Philipp and I live in Nuremberg. This model is used with sagemaker for inference."
}
}

# request
predictor.predict(data)

```
### logs:

```

#015Downloading: 0%\| \| 0.00/2.74k [00:00

No repository file or test is named. Reproduce the two HuggingFaceModel deployments with the Python, PyTorch, and Transformers versions shown, then compare their SageMaker and CloudWatch output; done means logs from the newer environment are visible in CloudWatch as they are in the older environment.

Written by the indexing model from the issue text.