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sample_rate: 16000
compute_eval_loss: false
log_prediction: true
rnnt_reduction: mean_volume
skip_nan_grad: false
model_defaults:
enc_hidden: 1024
pred_hidden: 640
joint_hidden: 640
train_ds:
use_lhotse: true
skip_missing_manifest_entries: true
input_cfg: null
tarred_audio_filepaths: null
manifest_filepath: null
sample_rate: 16000
shuffle: true
num_workers: 2
pin_memory: true
max_duration: 40.0
min_duration: 0.1
text_field: answer
batch_duration: null
use_bucketing: true
max_tps: null
bucket_duration_bins: null
bucket_batch_size: null
num_buckets: null
bucket_buffer_size: null
shuffle_buffer_size: null
augmentor: null
validation_ds:
use_lhotse: true
manifest_filepath: /data/ASR/en/librispeech/test-other.json
sample_rate: 16000
batch_size: 32
shuffle: false
max_duration: 40.0
min_duration: 0.1
num_workers: 2
pin_memory: true
text_field: answer
tarred_audio_filepaths: null
tokenizer:
dir: null
type: bpe
model_path: nemo:e8dc9587bf16427491071501d9080e4e_tokenizer.model
vocab_path: nemo:5f463a58a6f9401796aae466cbf12f7d_vocab.txt
spe_tokenizer_vocab: nemo:26b131bdef564f2cbe451e9219efcbab_tokenizer.vocab
preprocessor:
_target_: nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor
sample_rate: 16000
normalize: NA
window_size: 0.025
window_stride: 0.01
window: hann
features: 128
n_fft: 512
log: true
frame_splicing: 1
dither: 1.0e-05
pad_to: 0
pad_value: 0.0
spec_augment:
_target_: nemo.collections.asr.modules.SpectrogramAugmentation
freq_masks: 2
time_masks: 10
freq_width: 27
time_width: 0.05
encoder:
_target_: nemo.collections.asr.modules.ConformerEncoder
feat_in: 128
feat_out: -1
n_layers: 24
d_model: 1024
use_bias: false
subsampling: dw_striding
subsampling_factor: 8
subsampling_conv_channels: 256
causal_downsampling: true
reduction: null
reduction_position: null
reduction_factor: 1
ff_expansion_factor: 4
self_attention_model: rel_pos
n_heads: 8
att_context_size:
- - 70
- 13
- - 70
- 6
- - 70
- 1
- - 70
- 0
att_context_style: chunked_limited
xscaling: false
untie_biases: true
pos_emb_max_len: 5000
conv_kernel_size: 9
conv_norm_type: layer_norm
conv_context_size: causal
dropout: 0.1
dropout_pre_encoder: 0.1
dropout_emb: 0.0
dropout_att: 0.1
stochastic_depth_drop_prob: 0.0
stochastic_depth_mode: linear
stochastic_depth_start_layer: 1
decoder:
_target_: nemo.collections.asr.modules.RNNTDecoder
normalization_mode: null
random_state_sampling: false
blank_as_pad: true
prednet:
pred_hidden: 640
pred_rnn_layers: 2
t_max: null
dropout: 0.2
vocab_size: 1024
joint:
_target_: nemo.collections.asr.modules.RNNTJoint
log_softmax: null
preserve_memory: false
fuse_loss_wer: true
fused_batch_size: 4
jointnet:
joint_hidden: 640
activation: relu
dropout: 0.2
encoder_hidden: 1024
pred_hidden: 640
num_classes: 1024
vocabulary:
- <unk>
- ▁t
- ▁th
- ▁a
- in
- ▁the
- re
- ▁w
- ▁o
- ▁s
- er
- at
- ou
- nd
- it
- is
- ▁h
- ▁b
- 'on'
- ▁c
- ing
- en
- ▁to
- ▁m
- ▁f
- ▁p
- or
- an
- es
- ▁of
- ▁d
- ed
- ll
- ▁and
- ▁I
- ▁in
- ▁l
- ar
- ▁y
- ▁g
- as
- ▁you
- om
- ▁n
- ic
- ve
- al
- ion
- us
- ▁be
- ow
- le
- ▁wh
- ▁e
- ot
- ut
- ▁it
- ▁is
- ▁we
- ▁T
- ▁re
- et
- ▁A
- ent
- ▁on
- ▁ha
- ay
- ▁S
- ct
- ▁Th
- ver
- id
- ig
- im
- ro
- ▁for
- ly
- ▁he
- ke
- ld
- se
- st
- ch
- ▁st
- all
- ce
- ur
- ith
- am
- if
- ir
- ▁go
- ▁u
- ▁as
- ▁was
- ad
- ▁W
- ▁k
- ▁an
- ht
- th
- ▁r
- ▁are
- ere
- ▁se
- ▁do
- ▁B
- ▁so
- ▁sh
- ▁not
- ▁li
- od
- ▁C
- ust
- ill
- ight
- ally
- ▁And
- ter
- ▁or
- ▁me
- ▁M
- ome
- op
- ▁at
- il
- ▁The
- ould
- ▁j
- ant
- ▁So
- ▁H
- ol
- ain
- ▁can
- ▁de
- ▁ne
- ore
- ▁con
- ▁kn
- ck
- ul
- ▁fr
- ▁ab
- ers
- ess
- ge
- ▁pro
- pe
- ate
- ▁su
- ▁com
- ▁but
- ▁all
- est
- qu
- ▁ex
- ▁al
- ra
- ▁O
- out
- use
- very
- pp
- ▁Y
- ▁ch
- ri
- ist
- ▁v
- ▁lo
- ment
- art
- ▁P
- nt
- ab
- ▁one
- ▁N
- ive
- ▁wor
- ions
- ort
- ▁L
- ▁by
- ich
- ▁my
- ity
- ok
- ▁G
- res
- ▁up
- un
- um
- ea
- ind
- and
- ink
- el
- ▁D
- em
- ▁E
- os
- oug
- ▁if
- ca
- ▁out
- ▁int
- ie
- ▁F
- ▁It
- ▁his
- ard
- ▁had
- ▁tr
- her
- our
- ies
- ake
- ▁R
- ▁We
- ▁get
- ▁don
- ▁us
- ak
- ▁pl
- ect
- ure
- ame
- ast
- ▁who
- ack
- ▁le
- ▁sa
- iv
- ci
- ide
- ▁tim
- ▁our
- ound
- ous
- ▁co
- ▁pe
- ose
- ud
- ▁see
- ough
- ▁man
- ▁qu
- ▁You
- so
- ople
- ▁Wh
- ong
- ap
- ther
- ▁J
- are
- ine
- ▁say
- ▁im
- ▁But
- ings
- ▁has
- ▁ag
- ff
- ▁her
- itt
- one
- ▁en
- ▁ar
- ▁fe
- ven
- ▁any
- ▁mo
- reat
- ag
- ▁how
- ▁cl
- pt
- ▁now
- own
- ber
- ▁him
- ▁act
- hing
- ice
- ▁no
- ans
- iz
- ▁fa
- per
- pl
- ▁te
- ▁ad
- age
- ree
- ▁tw
- ank
- ▁He
- ple
- ite
- ry
- ▁U
- ish
- ire
- ue
- ▁In
- ▁she
- ble
- cc
- nder
- ▁way
- ▁pr
- ear
- ▁did
- ▁po
- eah
- ▁un
- omet
- ence
- ep
- uch
- ▁sp
- ach
- og
- ance
- able
- iff
- sel
- ▁got
- way
- ▁gr
- alk
- ▁res
- ated
- irst
- ick
- ass
- ▁two
- ▁dis
- ord
- ▁pre
- ount
- ase
- ip
- ult
- ical
- orm
- ary
- ace
- ▁spe
- ▁Ch
- ▁thr
- ▁imp
- int
- ▁am
- ▁off
- act
- ia
- ▁ro
- ress
- ▁per
- ▁fo
- ▁br
- ▁K
- vel
- ▁gu
- ▁bo
- ang
- kay
- ub
- ign
- ▁may
- ving
- ces
- ens
- cl
- ▁lot
- ru
- ade
- ▁bet
- ▁bl
- ▁let
- fore
- co
- ild
- ning
- xt
- ile
- ark
- self
- ▁app
- ory
- du
- ▁day
- ▁St
- ater
- ▁use
- ys
- fter
- ▁new
- ious
- ial
- he
- wn
- ved
- red
- ▁fl
- iss
- ody
- form
- ian
- tain
- ▁bu
- ▁V
- ▁rec
- ty
- be
- ▁sc
- ors
- vers
- ▁put
- ife
- ▁If
- we
- te
- ject
- ath
- ting
- ▁rem
- ▁acc
- ull
- ons
- ▁ind
- ▁ser
- ▁ke
- ates
- ves
- na
- lic
- ▁des
- ▁its
- ful
- ents
- erm
- ac
- ered
- ise
- ▁sy
- urn
- ▁em
- oth
- ual
- ne
- ward
- ib
- ▁try
- ▁pos
- nds
- ft
- get
- ph
- ▁ob
- ady
- igh
- ood
- ▁rel
- ▁wr
- ug
- ears
- ail
- ▁Now
- ▁bit
- ng
- ▁Oh
- ▁hel
- ange
- ▁reg
- ▁rep
- ▁bel
- ▁sm
- ost
- tern
- gr
- ▁own
- ▁end
- pect
- ily
- day
- ied
- ific
- ower
- ▁add
- cess
- ict
- ible
- ▁bas
- ▁i
- ▁op
- cial
- ular
- ▁Be
- ced
- ▁too
- ks
- ew
- mer
- ▁ph
- ob
- ==
- ▁la
- ▁set
- ▁min
- ▁sub
- ▁gen
- atch
- ..
- ▁inv
- ▁As
- ▁nat
- ▁sl
- ▁num
- av
- ways
- ▁God
- stem
- ▁ac
- ▁att
- ▁ev
- ▁def
- llow
- ▁str
- lect
- ars
- ▁cr
- ▁Is
- olog
- les
- oy
- ▁ask
- ▁inc
- body
- ▁ent
- ▁pol
- ness
- ix
- ▁why
- onna
- ▁ear
- ▁tak
- ▁Un
- ited
- mun
- li
- ute
- ract
- ▁dec
- uro
- ▁mak
- ▁fin
- ween
- ▁No
- arch
- ▁bec
- gan
- old
- cy
- ▁big
- ▁For
- ren
- als
- und
- ▁Al
- ▁All
- ss
- ows
- ▁mod
- ock
- ▁id
- ism
- cus
- ▁gl
- ably
- ▁ass
- ▁car
- ata
- ppen
- led
- ▁sim
- ▁mon
- ics
- ▁giv
- cept
- ▁Mr
- pan
- ▁pub
- ▁eff
- ▁How
- ps
- vern
- end
- hip
- iew
- ope
- ▁An
- ▁She
- ▁Com
- ee
- ures
- ell
- ouse
- cond
- king
- oc
- ues
- ever
- ▁To
- clud
- ▁ins
- ▁exp
- ▁old
- ▁mem
- ▁ref
- ▁tra
- ▁far
- ave
- rat
- ▁sur
- ruct
- rib
- duct
- uff
- ▁met
- ▁sch
- ince
- ▁run
- ense
- ▁cle
- ▁==
- mon
- ize
- ▁ord
- blem
- tin
- ▁Let
- ner
- ond
- its
- ▁cor
- land
- ▁cur
- ▁Re
- ▁bus
- ▁uh
- air
- ote
- ants
- ason
- ric
- ▁el
- ▁cer
- nce
- ▁fam
- ▁cap
- uck
- ool
- ried
- ▁cou
- ▁fun
- ▁wom
- ▁hum
- ▁ty
- ▁ap
- ike
- ▁few
- oney
- ▁inf
- ont
- ese
- ook
- gy
- uth
- ulat
- ieve
- ized
- ross
- ▁ple
- ▁um
- ▁val
- ▁equ
- ▁lea
- ▁lar
- ah
- eral
- ▁ed
- ared
- lish
- arn
- ds
- esn
- ▁iss
- ▁ca
- ted
- ices
- ▁wee
- ash
- ▁top
- ten
- up
- ts
- gin
- con
- ari
- ▁opp
- osed
- ▁eas
- ▁ext
- gg
- az
- ▁Fr
- ideo
- izat
- ▁men
- ▁mom
- ▁ret
- tty
- rist
- ▁gra
- alth
- ef
- ▁det
- ax
- ▁mat
- chn
- ern
- peri
- ▁bre
- ▁Sh
- sw
- erat
- ▁sit
- ters
- ale
- man
- ▁sol
- ork
- ▁adv
- ety
- ▁vis
- ▁med
- uc
- less
- ▁unt
- gram
- ets
- ists
- ▁ey
- ▁col
- imes
- ▁law
- ▁pri
- sid
- ▁On
- ▁mot
- ield
- ▁Do
- ▁At
- ages
- amp
- ▁art
- miss
- ▁sk
- alf
- pr
- ier
- ▁beh
- ▁Yes
- ural
- ime
- ▁wa
- oks
- bers
- ger
- ient
- ries
- '...'
- ▁che
- ▁Br
- ird
- ▁Ar
- ▁war
- inat
- ▁My
- ital
- wh
- med
- ▁pur
- ully
- ▁One
- ▁rat
- ines
- ▁Of
- io
- ▁loc
- ret
- ctor
- ▁leg
- stit
- ined
- ught
- ▁dur
- ▁es
- vent
- aj
- ▁bro
- ▁saw
- ▁sec
- ream
- ▁pop
- reen
- ▁Ind
- els
- ▁yet
- ired
- ▁sw
- tro
- oup
- most
- pean
- eds
- ush
- oh
- ▁Se
- ▁tea
- ann
- ilit
- err
- pend
- ton
- ased
- ▁aff
- ▁mor
- ▁dra
- put
- ▁dr
- ins
- uat
- nect
- cri
- outh
- ▁ra
- ▁pay
- ms
- ▁av
- bs
- ling
- ▁De
- ▁Or
- ove
- ▁Can
- ▁eng
- ames
- ided
- ▁Go
- mitt
- ode
- ▁cre
- par
- ides
- pos
- ▁fav
- ▁air
- ▁New
- ▁bad
- ▁six
- vat
- ▁pat
- not
- ▁di
- rop
- ral
- orn
- ▁par
- cing
- ▁aw
- orts
- ox
- ▁yes
- cuss
- eng
- ives
- erms
- ▁job
- mand
- ying
- ▁occ
- aps
- ases
- ▁Not
- rent
- ency
- att
- ised
- vice
- ▁Eng
- ▁est
- oked
- ▁Q
- iron
- idd
- me
- unch
- ane
- ▁z
- br
- arts
- ▁fat
- ery
- anks
- ▁jo
- ▁mar
- aw
- ott
- ards
- ▁oh
- ians
- ▁sci
- row
- unt
- ury
- ▁abs
- ergy
- ▁Z
- ump
- ▁Am
- ened
- angu
- ▁Pro
- icat
- itch
- ▁dri
- iat
-
- e
- t
- o
- a
- 'n'
- i
- s
- r
- h
- l
- d
- u
- c
- m
- 'y'
- g
- w
- f
- p
- ','
- .
- b
- v
- k
- ''''
- I
- T
- A
- S
- x
- W
- j
- C
- B
- M
- '?'
- H
- O
- '0'
- P
- q
- 'Y'
- 'N'
- L
- D
- '1'
- E
- G
- z
- F
- R
- '-'
- '2'
- J
- U
- '9'
- K
- '5'
- '3'
- V
- '='
- '4'
- '8'
- '6'
- '7'
- '!'
- '%'
- ':'
- Q
- Z
- $
- X
- '"'
- '&'
- '*'
- /
- £
- +
-
- _
- ^
- ¥
decoding:
strategy: greedy_batch
greedy:
max_symbols: 10
beam:
beam_size: 2
return_best_hypothesis: false
score_norm: true
tsd_max_sym_exp: 50
alsd_max_target_len: 2.0
aux_ctc:
ctc_loss_weight: 0.3
use_cer: false
ctc_reduction: mean_batch
decoder:
_target_: nemo.collections.asr.modules.ConvASRDecoder
feat_in: null
num_classes: -1
vocabulary: []
decoding:
strategy: greedy
interctc:
loss_weights: []
apply_at_layers: []
loss:
loss_name: default
warprnnt_numba_kwargs:
fastemit_lambda: 0.005
clamp: -1.0
optim:
name: adamw
lr: 3.0
betas:
- 0.9
- 0.98
weight_decay: 0.001
sched:
name: NoamAnnealing
d_model: 1024
warmup_steps: 8000
warmup_ratio: null
min_lr: 1.0e-06
labels:
- <unk>
- ▁t
- ▁th
- ▁a
- in
- ▁the
- re
- ▁w
- ▁o
- ▁s
- er
- at
- ou
- nd
- it
- is
- ▁h
- ▁b
- 'on'
- ▁c
- ing
- en
- ▁to
- ▁m
- ▁f
- ▁p
- or
- an
- es
- ▁of
- ▁d
- ed
- ll
- ▁and
- ▁I
- ▁in
- ▁l
- ar
- ▁y
- ▁g
- as
- ▁you
- om
- ▁n
- ic
- ve
- al
- ion
- us
- ▁be
- ow
- le
- ▁wh
- ▁e
- ot
- ut
- ▁it
- ▁is
- ▁we
- ▁T
- ▁re
- et
- ▁A
- ent
- ▁on
- ▁ha
- ay
- ▁S
- ct
- ▁Th
- ver
- id
- ig
- im
- ro
- ▁for
- ly
- ▁he
- ke
- ld
- se
- st
- ch
- ▁st
- all
- ce
- ur
- ith
- am
- if
- ir
- ▁go
- ▁u
- ▁as
- ▁was
- ad
- ▁W
- ▁k
- ▁an
- ht
- th
- ▁r
- ▁are
- ere
- ▁se
- ▁do
- ▁B
- ▁so
- ▁sh
- ▁not
- ▁li
- od
- ▁C
- ust
- ill
- ight
- ally
- ▁And
- ter
- ▁or
- ▁me
- ▁M
- ome
- op
- ▁at
- il
- ▁The
- ould
- ▁j
- ant
- ▁So
- ▁H
- ol
- ain
- ▁can
- ▁de
- ▁ne
- ore
- ▁con
- ▁kn
- ck
- ul
- ▁fr
- ▁ab
- ers
- ess
- ge
- ▁pro
- pe
- ate
- ▁su
- ▁com
- ▁but
- ▁all
- est
- qu
- ▁ex
- ▁al
- ra
- ▁O
- out
- use
- very
- pp
- ▁Y
- ▁ch
- ri
- ist
- ▁v
- ▁lo
- ment
- art
- ▁P
- nt
- ab
- ▁one
- ▁N
- ive
- ▁wor
- ions
- ort
- ▁L
- ▁by
- ich
- ▁my
- ity
- ok
- ▁G
- res
- ▁up
- un
- um
- ea
- ind
- and
- ink
- el
- ▁D
- em
- ▁E
- os
- oug
- ▁if
- ca
- ▁out
- ▁int
- ie
- ▁F
- ▁It
- ▁his
- ard
- ▁had
- ▁tr
- her
- our
- ies
- ake
- ▁R
- ▁We
- ▁get
- ▁don
- ▁us
- ak
- ▁pl
- ect
- ure
- ame
- ast
- ▁who
- ack
- ▁le
- ▁sa
- iv
- ci
- ide
- ▁tim
- ▁our
- ound
- ous
- ▁co
- ▁pe
- ose
- ud
- ▁see
- ough
- ▁man
- ▁qu
- ▁You
- so
- ople
- ▁Wh
- ong
- ap
- ther
- ▁J
- are
- ine
- ▁say
- ▁im
- ▁But
- ings
- ▁has
- ▁ag
- ff
- ▁her
- itt
- one
- ▁en
- ▁ar
- ▁fe
- ven
- ▁any
- ▁mo
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target: nemo.collections.asr.models.rnnt_bpe_models.EncDecRNNTBPEModel
nemo_version: 2.4.0rc0