Training is done with a warning message from the Scikit-Learn library

[LittleFay2]

/home/ssf/.conda/envs/geotransformer/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1245: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 due to no predicted samples. Use zero_division parameter to control this behavior.
_warn_prf(average, modifier, msg_start, len(result))

Will this warning have an effect on training results?

[LJX16]

/home/ssf/.conda/envs/geotransformer/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1245: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 due to no predicted samples. Use zero_division parameter to control this behavior./home/ssf/.conda/envs/geotransformer/lib/python3.8/site-packages/sklearn/metrics/_classification.py：1245：UndefinedMetricWarning：精度和 F 分数定义不明确，由于没有预测样本，因此设置为 0.0。使用 zero_division 参数来控制此行为。 _warn_prf(average, modifier, msg_start, len(result))_warn_prf（平均值、修饰符、msg_start、len（结果））

Will this warning have an effect on training results?此警告是否会影响训练结果？

Hi, I'm also experiencing this problem and my training loss stays at 0. Have you solved it yet?