en_morph-mlp-config.yaml

experiments_dir: /path/to/the/experiments/folder

log_level: DEBUG
random_seed: 1

mode: train
stage: morph

# If mode is 'predict', specify the model name,
# e.g. /path/to/model/weights.epoch5
model_fn:

# Model module names
data-module: components.data.morph_mlp_data
model-module: components.model.morph_mlp
training-module: components.trainer.morph_mlp_trainer
evaluation-module: components.evaluator.morph_evaluator
nlgen-module: components.nlgen.morph_mlp_algo

data_params:
  lower_case: False
  max_src_len: 30
  max_tgt_len: 30

  train_data: /some/dir/ud-treebanks-v2.0/UD_English/en-ud-train.conllu
  dev_data: /some/dir/ud-treebanks-v2.0/UD_English/en-ud-dev.conllu
  test_data:

model_params:
  embedding_dim: 200  
  embedding_proj_dim: 64
  dense1_dim: 32

training_params:
  external_evaluation: True
  save_model_each_epoch: True
  n_epochs: 15
  batch_size: 600
  optimizer: Adam
  learning_rate: 0.001