config-rnn-summarization.yml

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
hidden_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