NMTKD / translation /OpenNMT-py /config /config-rnn-summarization.yml
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data: data/cnndm/CNNDM
save_model: models/cnndm
save_checkpoint_steps: 10000
keep_checkpoint: 10
seed: 3435
train_steps: 100000
valid_steps: 10000
report_every: 100
encoder_type: brnn
word_vec_size: 128
rnn_size: 512
layers: 1
optim: adagrad
learning_rate: 0.15
adagrad_accumulator_init: 0.1
max_grad_norm: 2
batch_size: 16
dropout: 0.0
copy_attn: 'true'
global_attention: mlp
reuse_copy_attn: 'true'
bridge: 'true'
world_size: 2
gpu_ranks:
- 0
- 1