All Content tagged with Amazon SageMaker Model Training
Amazon SageMaker reduces the time and cost to train and tune machine learning (ML) models without the need to manage infrastructure. With SageMaker, easily train and tune ML models using built-in tools to manage and track training experiments, automatically choose optimal hyperparameters, debug training jobs, and monitor the utilization of system resources such as GPUs, CPUs, and network bandwidth.
Content language: English
Filter content
Select tags to filter
Sort by
Sort by most recent
80 results
I'm running CreateModelCustomizationJob (FINE_TUNING, LoRA) against amazon.nova-pro-v1:0:300k in us-east-1, and every single attempt fails late into training with an unhelpful generic error:
"Encount...
Hello,
I'm doing the CloudQuest Machine Learning labs and I've encountered the following issue:
Is there anyon...
I am using Amazon SageMaker AI Model Monitor and trying to run an ON-DEMAND
(data-quality) monitoring job using DefaultModelMonitor.
Code:
from sagemaker.model_monitor import DefaultModelMonitor, En...
I'm running multi-node pretraining with LLaMA-Factory using ml.p4de.24xlarge on SageMaker. The job fails with this error:
[rankX]: [c10d] While waitForInput, poolFD failed...
torch.distributed.DistBa...
In CloudWatch, SageMaker training jobs are found in the log group: `/aws/sagemaker/TrainingJobs`.
The log stream name has the format: "{sagemaker_training_job_name}/algo-1-..."
How can I programmatic...
asked 2 years ago
I would like to save the logs from a SageMaker training job, following something similar to the code snippet below.
```python
estimator = JumpStartEstimator(
model_id = "...",
environment = {...
asked 2 years ago
Hi everyone.
When I run the augtogluon algorithm the following error appears after trying to read the entry_point :
```
UnexpectedStatusException: Error for Training job builtIn-example-autogluon-...
I am trying to train a SageMaker built-in KMeans model on data stored in RecordIO-Protobuf format, using the Pipe input mode. However, the training job fails with the following error:
```
UnexpectedSt...
Hi everybody. I'm stuck when calling describe_auto_ml_job_v2 method.
Can't find the best Candidate because of a KeyError. Seems like when I print the method the following keys fail after sm.describe...
Hi, I am using Sagemaker TrainingJob and it fails when it tries to upload the mode artifact to a bucket that has objectlock enabled.
It throws this error:
ClientError: Artifact upload failed:Error 7:...
asked 2 years ago
**I followed the instruction in : https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-projects-walkthrough-3rdgit.html**
![Enter image description here](/media/postImages/original/IMD2dEnWaoRY...
I want to create a Training Job on Sagemaker and associate both performance metrics and a model artifact with it. However, I have two problems with this:
* In the Sagemajer "experiments" section, I se...