Add sse model #168
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Add sse model #168
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daemon
requested changes
Dec 16, 2018
sse/model.py
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| class StackBiLSTMMaxout(nn.Module): | ||
| def __init__(self, h_size=[512, 1024, 2048], d=300, mlp_d=1600, dropout_r=0.1, max_l=60, num_classes=3): | ||
| super(StackBiLSTMMaxout, self).__init__() |
| import numpy as np | ||
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| def auto_rnn_bilstm(lstm: nn.LSTM, seqs, lengths): | ||
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sse/__main__.py
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| if not args.skip_training: | ||
| total_params = 0 | ||
| for param in model.parameters(): | ||
| size = [s for s in param.size()] |
There was a problem hiding this comment.
total_params = sum(p.numel() for p in model.parameters()) is more concise.
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@daemon All of your comments fixed. |
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LG |
daemon
approved these changes
Dec 18, 2018
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Reference:
Paper: Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
Code: https://github.com/easonnie/multiNLI_encoder
@likicode @daemon Could you review this PR?