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)|