Only Three Valid Digits Are Retained in a Training Output Log. Can the Value of loss Be Changed?
In a training job, only three valid digits are retained in a training output log. When the value of loss is too small, the value is displayed as 0.000. Log content is as follows:
INFO:tensorflow:global_step/sec: 0.382191 INFO:tensorflow:step: 81600(global step: 81600) sample/sec: 12.098 loss: 0.000 INFO:tensorflow:global_step/sec: 0.382876 INFO:tensorflow:step: 81700(global step: 81700) sample/sec: 12.298 loss: 0.000
Currently, the value of loss cannot be changed. You can multiply the value of loss by 1000 to avoid this problem.
Viewing Job Details FAQs
- How Do I Check Resource Usage of a Training Job?
- How Do I Access the Background of a Training Job?
- Is There Any Conflict When Models of Two Training Jobs Are Saved in the Same Directory of a Container?
- Only Three Valid Digits Are Retained in a Training Output Log. Can the Value of loss Be Changed?
- Can a Trained Model Be Downloaded or Migrated to Another Account? How Do I Obtain the Download Path?
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