Created
August 28, 2018 06:56
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large train yml of data2vis
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model: AttentionSeq2Seq | |
model_params: | |
attention.class: seq2seq.decoders.attention.AttentionLayerBahdanau | |
attention.params: | |
num_units: 512 | |
bridge.class: seq2seq.models.bridges.ZeroBridge | |
embedding.dim: 512 | |
encoder.class: seq2seq.encoders.BidirectionalRNNEncoder | |
encoder.params: | |
rnn_cell: | |
cell_class: LSTMCell | |
cell_params: | |
num_units: 512 | |
dropout_input_keep_prob: 0.5 | |
dropout_output_keep_prob: 1.0 | |
num_layers: 2 | |
decoder.class: seq2seq.decoders.AttentionDecoder | |
decoder.params: | |
rnn_cell: | |
cell_class: LSTMCell | |
cell_params: | |
num_units: 512 | |
dropout_input_keep_prob: 0.5 | |
dropout_output_keep_prob: 1.0 | |
num_layers: 4 | |
optimizer.name: Adam | |
optimizer.params: | |
epsilon: 0.0000008 | |
optimizer.learning_rate: 0.0001 | |
source.max_seq_len: 500 | |
source.reverse: false | |
target.max_seq_len: 500 |
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