03-adapt.template.cfg009.yaml

# standard settings + BPE
SRC1SRC2.CFGID: !LoadSerialized
  # This will load the contents of the above experiments that were saved to the
  # YAML file specified after filename:
  # This will carry out the exact same thing, except that {EXP} is resolved to
  # a different value (making sure we don't overwrite the previous model),
  # and except for the things explicitly overwritten in the overwrite: section.
  # It's possible to change any settings as long as these don't change the number
  # or nature of DyNet parameters allocated for the component.
  filename: results/01-tri/SRC1SRC2.cfg002.mod
  path: ''
  overwrite: # list of [path, value] pairs. Value can be scalar or an arbitrary object
  - path: exp_global.log_file
    val: 'results/03-adapt/{EXP}.log'
  - path: exp_global.model_file
    val: 'results/03-adapt/{EXP}.mod'
  - path: train
    val: !SimpleTrainingRegimen
      trainer: !AdamTrainer
        alpha: 0.001
      batcher: !WordSrcBatcher
        avg_batch_size: 64
      lr_decay: 0.5
      patience: 2
      restart_trainer: True
      dev_zero: True
      run_for_epochs: 20
      src_file: 'data/SRC1_eng/ted-train.orig.spm8000.SRC1'
      trg_file: 'data/SRC1_eng/ted-train.mtok.spm8000.eng'
      dev_tasks:
        - !AccuracyEvalTask
          eval_metrics: bleu
          src_file: 'data/SRC1_eng/ted-dev.orig.spm8000.SRC1'
          ref_file: 'data/SRC1_eng/ted-dev.mtok.eng'
          hyp_file: 'results/03-adapt/{EXP}.dev_hyp'
        - !LossEvalTask
          src_file: 'data/SRC1_eng/ted-dev.orig.spm8000.SRC1'
          ref_file: 'data/SRC1_eng/ted-dev.mtok.spm8000.eng'
  - path: evaluate
    val:
    - !AccuracyEvalTask
      eval_metrics: bleu
      src_file: 'data/SRC1_eng/ted-dev.orig.spm8000.SRC1'
      ref_file: 'data/SRC1_eng/ted-dev.mtok.eng'
      hyp_file: 'results/03-adapt/{EXP}.dev_hyp'
    - !AccuracyEvalTask
      eval_metrics: bleu
      src_file: 'data/SRC1_eng/ted-test.orig.spm8000.SRC1'
      ref_file: 'data/SRC1_eng/ted-test.mtok.eng'
      hyp_file: 'results/03-adapt/{EXP}.tst_hyp'