Updated on 2022-12-06 GMT+08:00
Why Does ExeML Training Fail?
If the training of an ExeML project fails, perform the following steps to rectify the fault:
- Access Billing Center and check whether the account is in arrears.
- If the account is in arrears, top up the account.
- If the account is not in arrears, go to 2.
- Check whether the OBS path for storing image data complies with the following requirements:
- The OBS path does not contain other folders.
- The file name does not contain the following special characters: ~`@#$%^&*{}[]:;+=<>/
If the OBS path meets the requirements, go to 3.
- The failure cause may vary depending on the ExeML project.
- If image recognition training fails, check whether there are damaged images. If there are damaged images, replace or delete them.
- If object detection training fails, check whether the labeling mode of the dataset is correct. Currently, ExeML supports only rectangle-based labeling.
- If predictive analytics training fails, check the label column. Currently, the label column supports discrete and continuous data. Only one column can be selected.
- If sound classification training fails, check whether the audio files are 16-bit WAV files.
If the fault persists, submit a service ticket for technical support.
Parent topic: Training Models
Training Models FAQs
- What Should I Do When the Train Button Is Unavailable After I Create an Image Classification Project and Label the Images?
- How Do I Perform Incremental Training in an ExeML Project?
- Can I Download a Model Trained Using ExeML?
- Why Does ExeML Training Fail?
- What Do I Do If an Image Error Occurred During Model Training Using ExeML?
- What Do I Do If Error ModelArts.0010 Occurred When I Use ExeML to Start Training as an IAM User?
- What Is the Training Speed of Each Parameter in ExeML Training Preference Settings?
- What Do I Do If ERROR:input key sound is not in model Occurred When I Use ExeML for Sound Classification Prediction?
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