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hello author,I used 9 sets of data, using the incremental learning method, starting from one set and slowly increasing it. Later, when I added DIS data, the reorganized data verification accuracy was lower, as shown below
_maxF1_0.9685_0.9713_0.9704_0.9713_0.9703_0.9729_0.9709_0.8183_0.9881
0.8183 is the accuracy of the DIS data set. When I use this data alone for training, the accuracy is very high. I suspect it is a problem with the distribution of the rest of my self-built data and the current data.
The text was updated successfully, but these errors were encountered:
hello author,I used 9 sets of data, using the incremental learning method, starting from one set and slowly increasing it. Later, when I added DIS data, the reorganized data verification accuracy was lower, as shown below
_maxF1_0.9685_0.9713_0.9704_0.9713_0.9703_0.9729_0.9709_0.8183_0.9881
0.8183 is the accuracy of the DIS data set. When I use this data alone for training, the accuracy is very high. I suspect it is a problem with the distribution of the rest of my self-built data and the current data.
The text was updated successfully, but these errors were encountered: