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whyPrecision,recall,f1=0? #2
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预测标签都是非因果关系。这个大概是哪里有错呢? |
这是哪个数据集和模型的结果? |
altlex_train.tsv训练过程中的输出 |
您先设config.py里的self.is_fc=False,再试一下,用focal loss的结果不太稳定 |
请问运行python torch_run.py run --prepare=True --build=True会报找不到transfer_file文件的错误,提供的数据集里没有2010_random_filtered.json这个文件。我是刚接触深度学习的学生,打扰老师了。 |
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2019-12-08 02:40:16,055 - Causality - INFO - Valid Loss - 0.06650793552398682
2019-12-08 02:40:16,055 - Causality - INFO - Valid Acc - 0.6290983606557377
2019-12-08 02:40:16,056 - Causality - INFO - Valid Precision - 0.0
2019-12-08 02:40:16,056 - Causality - INFO - Valid Recall - 0.0
2019-12-08 02:40:16,056 - Causality - INFO - Valid F1 - 0.0
2019-12-08 02:40:16,056 - Causality - INFO - Valid AUCROC - 0.5475642017744344
2019-12-08 02:40:16,056 - Causality - INFO - Valid AUCPRC - 0.41483413856191564
您好,打扰了,我运行过程中准确率有显示,但是pre,recall都是0,大概是什么原因呢?
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