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Branchformer (Peng et al., ICML 2022): 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)