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                                            Swift

bert 微调 coNLL2003 f1始终停留在40%左右，但在人民日报上f1能达到96%

在做NER的时候，bert_base 微调人民日报f1能达到96%，但在coNLL2003数据集上却停留在40%，所用的英文模型是 [cased_L-12_H-768_A-12](https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-12_H-768_A-12.zip) ![image](https://user-images.githubusercontent.com/25796929/85093156-091ed500-b21e-11ea-93cb-272a556c038e.png) 不知道作者是否在英文语料上微调过？

matrix A

How can I construct the matrix "A"?

fix itemcf.md clerical error: 41->4,1

load resnet_v2_152 model error and print features error

# load resnet_v2_152 model You didn't provide code about loading resnet_v2_152 model in compute_features.py # print feature The line 25 `exit()` should be indent, otherwise it will iterate just once.