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)|
{}
region:us
TAGS
#region-us 

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


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: beam5\_maxlenratio1.6\_penalty0.4/test, score: 32.7, verbose\_score: 66.9/41.5/27.5/18.7 (BP = 0.945 ratio = 0.946 hyp\_len = 121209 ref\_len = 128122)
dataset: beam5\_maxlenratio1.6\_penalty0.4/valid, score: 34.1, verbose\_score: 67.6/42.9/29.0/20.0 (BP = 0.945 ratio = 0.946 hyp\_len = 137200 ref\_len = 144976)



### BLEU


dataset: beam5\_maxlenratio1.6\_penalty0.4/test, score: 32.7, verbose\_score: 66.9/41.5/27.5/18.7 (BP = 0.945 ratio = 0.946 hyp\_len = 121209 ref\_len = 128122)
dataset: beam5\_maxlenratio1.6\_penalty0.4/valid, score: 34.1, verbose\_score: 67.6/42.9/29.0/20.0 (BP = 0.945 ratio = 0.946 hyp\_len = 137200 ref\_len = 144976)
TAGS
#region-us 
 ### BLEU


dataset: beam5\_maxlenratio1.6\_penalty0.4/test, score: 32.7, verbose\_score: 66.9/41.5/27.5/18.7 (BP = 0.945 ratio = 0.946 hyp\_len = 121209 ref\_len = 128122)
dataset: beam5\_maxlenratio1.6\_penalty0.4/valid, score: 34.1, verbose\_score: 67.6/42.9/29.0/20.0 (BP = 0.945 ratio = 0.946 hyp\_len = 137200 ref\_len = 144976)
passage: TAGS
#region-us 
### BLEU


dataset: beam5\_maxlenratio1.6\_penalty0.4/test, score: 32.7, verbose\_score: 66.9/41.5/27.5/18.7 (BP = 0.945 ratio = 0.946 hyp\_len = 121209 ref\_len = 128122)
dataset: beam5\_maxlenratio1.6\_penalty0.4/valid, score: 34.1, verbose\_score: 67.6/42.9/29.0/20.0 (BP = 0.945 ratio = 0.946 hyp\_len = 137200 ref\_len = 144976)