wer-sweep.yaml

command:
  - python3
  - ${program}
  - --predict_with_generate
  - --do_lower_case
  - --do_train
  - --do_eval
  - --do_predict
  - ${args}
method: random
metric:
  goal: minimize
  name: eval/wer
parameters:
  dataset_cache_dir:
    value: /home/sanchitgandhi/cache/huggingface/datasets
  dataset_config_name:
    value: all
  dataset_name:
    value: mozilla-foundation/common_voice_8_0
  eval_split_name:
    value: validation
  generation_max_length:
    value: 200
  generation_num_beams:
    value: 5
  length_column_name:
    value: input_length
  length_penalty:
    distribution: log_uniform
    max: 0.69
    min: -2.3
  logging_steps:
    value: 25
  max_duration_in_seconds:
    value: 20
  max_target_length:
    value: 128
  model_name_or_path:
    value: ./
  output_dir:
    value: ./
  per_device_eval_batch_size:
    value: 8
  preprocessing_num_workers:
    value: 16
  test_split_name:
    value: test
  text_column_name:
    value: text
  warmup_steps:
    value: 500
program: run_flax_generation_seq2seq.py
project: flax-wav2vec2-2-bart-large-cv8