Make the code compatible with PyTorch 0.4.1 #9
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sh0416
reviewed
Apr 10, 2021
| @@ -95,7 +95,8 @@ def gradstat(): | |||
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| while i < train_data.size(0) - 1 - 1: | |||
| seq_len = args.bptt | |||
| model.eval() | |||
| model.train() | |||
| model.use_dropout = False | |||
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The code is tested on Penn Treebank. There is a small gap between my results with the results reported in the paper.
MoS w/o finetune:
Valid 58.34 Test 56.18
MoS:
Valid 56.83 Test 54.64
MoS + dynamic evaluation:
Valid 49.03 Test: 48.43