Al_challenger_2018_sentiment_analysis f1分数为什么只有0.38？

单独跑了你的GCAE模型，只跑了20个分类中的一个分类的四分类情形，f1分数为什么只有0.38哟

col_idx=0, mean_f1=0.384092749704, f1=[0.9183772 0.        0.        0.6179938]
>>>>>>>>>> epoch 4_1: train-loss=2.696633; train-f1=0.000000; test-loss=2.653187; test-f1=0.384093; <<<<<<<<<<
HBox(children=(IntProgress(value=0, max=1641), HTML(value=u'')))

HBox(children=(IntProgress(value=0, max=469), HTML(value=u'')))

col_idx=0, mean_f1=0.383931036479, f1=[0.91848635 0.         0.         0.6172378 ]
>>>>>>>>>> epoch 4_2: train-loss=2.666327; train-f1=0.000000; test-loss=2.636907; test-f1=0.383931; <<<<<<<<<<
HBox(children=(IntProgress(value=0, max=1641), HTML(value=u'')))

HBox(children=(IntProgress(value=0, max=469), HTML(value=u'')))

col_idx=0, mean_f1=0.389377065007, f1=[0.91867899 0.         0.         0.63882927]
>>>>>>>>>> epoch 5_1: train-loss=2.647028; train-f1=0.000000; test-loss=2.666511; test-f1=0.389377; <<<<<<<<<<
HBox(children=(IntProgress(value=0, max=1641), HTML(value=u'')))

HBox(children=(IntProgress(value=0, max=469), HTML(value=u'')))

col_idx=0, mean_f1=0.388486282112, f1=[0.91941822 0.         0.         0.63452691]
>>>>>>>>>> epoch 5_2: train-loss=2.621379; train-f1=0.000000; test-loss=2.629981; test-f1=0.388486; <<<<<<<<<<
HBox(children=(IntProgress(value=0, max=1641), HTML(value=u'')))

HBox(children=(IntProgress(value=0, max=469), HTML(value=u'')))

col_idx=0, mean_f1=0.386024691301, f1=[0.91755923 0.         0.         0.62653953]
>>>>>>>>>> epoch 6_1: train-loss=2.613969; train-f1=0.000000; test-loss=2.659768; test-f1=0.386025; <<<<<<<<<<
HBox(children=(IntProgress(value=0, max=1641), HTML(value=u'')))

HBox(children=(IntProgress(value=0, max=469), HTML(value=u'')))

col_idx=0, mean_f1=0.38731240782, f1=[0.91939526 0.         0.         0.62985437]
>>>>>>>>>> epoch 6_2: train-loss=2.586844; train-f1=0.000000; test-loss=2.624157; test-f1=0.387312; <<<<<<<<<<
The max f1 of val data is 0.3893770650065502 of step 5_1