readme: Branchformer (Peng et al., ICML 2022): [https://proceedings.mlr.press/v162/peng22a.html](https://proceedings.mlr.press/v162/peng22a.html)
  
  # RESULTS
  ## Environments
  - date: `Sun May 29 01:39:59 EDT 2022`
  - python version: `3.9.12 (main, Apr  5 2022, 06:56:58)  [GCC 7.5.0]`
  - espnet version: `espnet 202205`
  - pytorch version: `pytorch 1.11.0`
  - Git hash: `1cab3306f8136e614339390f59f06e11d054bbd8`
    - Commit date: `Sat May 28 20:15:14 2022 -0400`
  
  ## mt_train_mt_branchformer_lr3e-3_warmup10k_share_enc_dec_input_dropout0.3_raw_bpe_tc10000
  ### BLEU
  |dataset|score|verbose_score|
  |---|---|---|
  |beam5_maxlenratio1.6_penalty0.4/test|32.7|66.9/41.5/27.5/18.7 (BP = 0.945 ratio = 0.946 hyp_len = 121209 ref_len = 128122)|
  |beam5_maxlenratio1.6_penalty0.4/valid|34.1|67.6/42.9/29.0/20.0 (BP = 0.945 ratio = 0.946 hyp_len = 137200 ref_len = 144976)|