DiCoP_v0.1 / model_config.yaml
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sample_rate: 16000
compute_eval_loss: false
log_prediction: true
skip_nan_grad: false
fddt_lr_multiplier: 100
text_norm: whisper_nsf
log_training_wer: false
meeteval:
tcp_collar: 5
output_per_word_timestamps: true
model_defaults:
enc_hidden: 1024
pred_hidden: 640
joint_hidden: 640
tdt_durations:
- 0
- 1
- 2
- 3
- 4
num_tdt_durations: 5
train_ds:
manifest_filepath: null
sample_rate: 16000
batch_size: 16
shuffle: true
num_workers: 8
prefetch_factor: 2
pin_memory: true
max_duration: 10000
min_duration: 0.1
channel_selector: average
validation_ds:
manifest_filepath: null
sample_rate: 16000
batch_size: 1
shuffle: false
use_start_end_token: false
num_workers: 8
prefetch_factor: 2
pin_memory: true
channel_selector: average
test_ds:
manifest_filepath: null
sample_rate: 16000
batch_size: 1
shuffle: false
use_start_end_token: false
num_workers: 8
pin_memory: true
channel_selector: average
tokenizer:
dir: .
type: bpe
model_path: nemo:adc07bdc357d48f299e2b4f6bd00dda4_tokenizer.model
vocab_path: nemo:c6528442359c4271b82043a03a05c896_vocab.txt
spe_tokenizer_vocab: nemo:ccefb75c9093497998ac54f97c3b97c7_tokenizer.vocab
preprocessor:
_target_: nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor
sample_rate: 16000
normalize: per_feature
window_size: 0.025
window_stride: 0.01
window: hann
features: 128
n_fft: 512
frame_splicing: 1
dither: 1.0e-05
pad_to: 0
spec_augment:
_target_: nemo.collections.asr.modules.SpectrogramAugmentation
freq_masks: 2
time_masks: 10
freq_width: 27
time_width: 0.05
encoder:
_target_: src.model.modules.stno_encoder.ConformerEncoderSTNO
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: false
reduction: null
reduction_position: null
reduction_factor: 1
ff_expansion_factor: 4
self_attention_model: rel_pos
n_heads: 8
att_context_size:
- -1
- -1
att_context_style: regular
xscaling: false
untie_biases: true
pos_emb_max_len: 45000
use_pytorch_sdpa: true
conv_kernel_size: 9
conv_norm_type: batch_norm
conv_context_size: null
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
fddt_non_target_rate: 0.5
fddt_is_diagonal: true
fddt_bias_only: false
fddt_use_silence: true
fddt_use_target: true
fddt_use_non_target: true
fddt_use_overlap: true
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: false
fused_batch_size: 4
jointnet:
joint_hidden: 640
activation: relu
dropout: 0.2
encoder_hidden: 1024
pred_hidden: 640
num_extra_outputs: 5
num_classes: 1024
vocabulary:
- <unk>
- ▁t
- ▁th
- ▁a
- in
- ▁the
- re
- ▁w
- ▁o
- ▁s
- at
- ou
- er
- nd
- ▁i
- ▁b
- ▁c
- 'on'
- ▁h
- ing
- ▁to
- ▁m
- en
- ▁f
- ▁p
- an
- ▁d
- es
- or
- ll
- ▁of
- ▁and
- ▁y
- ▁l
- ▁I
- it
- ▁in
- is
- ed
- ▁g
- ▁you
- ar
- ▁that
- om
- as
- ▁n
- ve
- us
- ic
- ow
- al
- ▁it
- ▁be
- ▁wh
- le
- ion
- ut
- ot
- ▁we
- ▁is
- ▁e
- et
- ay
- ▁re
- ▁on
- ▁T
- ▁A
- ▁ha
- ent
- ke
- ct
- ▁S
- ig
- ver
- ▁Th
- all
- id
- ▁for
- ro
- ▁he
- se
- ▁this
- ld
- ly
- ▁go
- ▁k
- ▁st
- st
- ch
- ▁li
- ▁u
- am
- ur
- ce
- ith
- im
- ▁so
- ▁have
- ▁do
- ht
- th
- ▁an
- ▁with
- ad
- ▁r
- ir
- ▁was
- ▁as
- ▁W
- ▁are
- ust
- ally
- ▁j
- ▁se
- ation
- od
- ere
- ▁like
- ▁not
- ▁kn
- ight
- ▁B
- ▁they
- ▁And
- ▁know
- ome
- op
- ▁can
- ▁or
- ▁sh
- ▁me
- ill
- ant
- ck
- ▁what
- ▁at
- ▁ab
- ould
- ol
- ▁So
- ▁C
- use
- ter
- il
- ▁but
- ▁just
- ▁ne
- ▁de
- ra
- ore
- ▁there
- ul
- out
- ▁con
- ▁all
- ▁The
- ers
- ▁H
- ▁fr
- ▁pro
- ge
- ea
- ▁Y
- ▁O
- ▁M
- pp
- ▁com
- ess
- ▁ch
- ▁al
- est
- ate
- qu
- ▁lo
- ▁ex
- very
- ▁su
- ain
- ▁one
- ca
- art
- ist
- if
- ive
- ▁if
- ink
- nt
- ab
- ▁about
- ▁going
- ▁v
- ▁wor
- um
- ok
- ▁your
- ▁my
- ind
- ▁get
- cause
- ▁from
- ▁don
- ri
- pe
- un
- ity
- ▁up
- ▁P
- ▁out
- ort
- ▁L
- ment
- el
- ▁N
- ▁some
- ich
- and
- ▁think
- em
- oug
- ▁G
- os
- ▁D
- res
- ▁because
- ▁by
- ake
- ▁int
- ie
- ▁us
- ▁tr
- ▁then
- ack
- ▁pl
- ▁here
- ▁pe
- her
- ▁will
- ▁F
- ▁which
- ard
- ▁right
- ▁thing
- ▁want
- ies
- ople
- ▁It
- ▁them
- ame
- ▁We
- our
- ▁say
- ▁R
- ▁people
- ▁see
- ▁who
- ast
- ure
- ect
- ear
- ▁tim
- ▁E
- ▁You
- ▁would
- ▁when
- ven
- ▁our
- ci
- ▁really
- ▁more
- ound
- ose
- ak
- ▁co
- ide
- ough
- ▁had
- so
- ▁qu
- eah
- ▁were
- ine
- ▁act
- ther
- ▁these
- ▁how
- ▁now
- ▁sa
- ud
- ▁Wh
- ▁man
- ous
- one
- pt
- ff
- ong
- ▁has
- ▁any
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- hing
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- ▁his
- per
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- ▁no
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- ▁got
- ag
- ▁sp
- ans
- act
- ▁te
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- iz
- ice
- ▁That
- ▁cl
- ▁been
- ▁way
- ▁fe
- ▁did
- ple
- ually
- ▁other
- ▁U
- ite
- age
- omet
- ber
- reat
- ree
- ▁into
- own
- ▁tw
- ▁part
- alk
- ▁where
- ▁need
- ▁every
- pl
- ▁ad
- ry
- ▁over
- ble
- ap
- ue
- ▁kind
- ▁po
- ▁back
- ▁cont
- iff
- ▁somet
- ▁pr
- nder
- ire
- ▁good
- ▁than
- ace
- ▁gu
- ep
- og
- ick
- way
- ▁lot
- ▁un
- ▁things
- ▁In
- ish
- kay
- ▁well
- ▁could
- ▁pre
- ▁two
- irst
- ▁diff
- ach
- cc
- ittle
- int
- ▁He
- ▁those
- ence
- ip
- ase
- ▁him
- ▁make
- ▁little
- ical
- ▁gr
- ▁year
- ass
- ▁thr
- uch
- ated
- ▁This
- ▁off
- ▁res
- ac
- ance
- ▁actually
- ▁talk
- ult
- able
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- ▁dis
- ▁first
- ations
- ▁something
- ▁she
- sel
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- ord
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- ia
- ▁am
- ▁her
- ▁said
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- be
- ount
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- ▁per
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- vel
- ary
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- ys
- ▁again
- ress
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- ang
- ▁mean
- na
- ens
- ▁does
- ▁fo
- ▁comp
- ▁ro
- ▁bl
- ody
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- ▁through
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- ▁bet
- ▁under
- ▁br
- ▁take
- ning
- ▁bu
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- ▁Ch
- xt
- co
- ory
- ild
- ▁put
- ▁call
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- other
- ting
- ▁happ
- ater
- ▁inc
- ition
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- ade
- ign
- thing
- ▁day
- fore
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- ark
- ile
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- ▁come
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- ▁try
- ious
- ▁sc
- ▁bit
- ▁spe
- ub
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- vers
- av
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- onna
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- ents
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- ▁point
- ces
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- ▁same
- ▁sy
- ▁quest
- ▁most
- ▁great
- ▁What
- ▁fu
- ug
- ▁show
- we
- ual
- ons
- ▁Be
- ically
- ▁ser
- ▁rem
- ▁ind
- ▁pers
- ▁V
- he
- ▁str
- ved
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- ank
- ▁rec
- ▁wr
- ought
- day
- ath
- ▁end
- ▁bas
- ft
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- ph
- ject
- ict
- ▁play
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- ates
- ▁ph
- oth
- ▁acc
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- ▁years
- ▁em
- ▁id
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- ves
- ever
- ▁inter
- ▁rel
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- ▁feel
- igh
- ▁three
- iss
- ▁des
- ne
- ▁why
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- ▁cons
- ▁hel
- ▁after
- ower
- urn
- ▁okay
- ▁long
- ▁bel
- ▁around
- ful
- te
- ise
- ▁ob
- ▁supp
- ady
- ange
- aking
- ▁pos
- atch
- ▁tra
- gr
- ▁might
- ert
- ▁help
- ost
- ▁too
- cial
- ▁world
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- ike
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- ways
- ▁min
- ward
- ily
- ▁gen
- ▁find
- ▁dec
- ular
- ob
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- ▁sm
- ▁cour
- ▁real
- cess
- nds
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- ▁num
- ction
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- ▁set
- ▁um
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- ▁own
- ▁life
- ities
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- pect
- ▁didn
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- uc
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- olog
- ▁person
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- ▁la
- ▁last
- ▁sub
- ▁att
- ▁op
- ▁inst
- ▁sl
- ▁happen
- ▁rep
- ▁import
- ific
- ix
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- ▁ear
- ▁ac
- ▁def
- ute
- ▁next
- ative
- ▁form
- ▁guys
- ▁system
- ew
- ▁able
- ied
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- ▁mod
- ▁done
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- cus
- ▁place
- ▁gener
- ▁ca
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- cond
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- £
- ó
- ā
- ü
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- ö
- è
- ç
- à
- ¿
- μ
- π
- ä
- ú
- θ
- ã
- φ
- ī
- σ
- ê
- ρ
- â
- ô
- ^
-
- É
- ū
- Δ
- λ
- α
- τ
- æ
- а
- о
- ν
- î
- γ
- ψ
- ē
- т
- ß
- ω
- ï
- ć
- č
- ε
- е
- и
- ò
- р
- β
- ø
- ł
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- п
- ë
- н
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decoding:
strategy: greedy_batch
model_type: tdt
durations:
- 0
- 1
- 2
- 3
- 4
compute_timestamps: true
preserve_alignments: false
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
loss:
loss_name: tdt
tdt_kwargs:
fastemit_lambda: 0.0
clamp: -1.0
durations:
- 0
- 1
- 2
- 3
- 4
sigma: 0.02
omega: 0.1
optim:
name: adamw
lr: 0.5
betas:
- 0.9
- 0.98
weight_decay: 0.001
sched:
name: NoamAnnealing
d_model: 1024
warmup_steps: 2000
warmup_ratio: null
min_lr: 1.0e-06
labels:
- <unk>
- ▁t
- ▁th
- ▁a
- in
- ▁the
- re
- ▁w
- ▁o
- ▁s
- at
- ou
- er
- nd
- ▁i
- ▁b
- ▁c
- 'on'
- ▁h
- ing
- ▁to
- ▁m
- en
- ▁f
- ▁p
- an
- ▁d
- es
- or
- ll
- ▁of
- ▁and
- ▁y
- ▁l
- ▁I
- it
- ▁in
- is
- ed
- ▁g
- ▁you
- ar
- ▁that
- om
- as
- ▁n
- ve
- us
- ic
- ow
- al
- ▁it
- ▁be
- ▁wh
- le
- ion
- ut
- ot
- ▁we
- ▁is
- ▁e
- et
- ay
- ▁re
- ▁on
- ▁T
- ▁A
- ▁ha
- ent
- ke
- ct
- ▁S
- ig
- ver
- ▁Th
- all
- id
- ▁for
- ro
- ▁he
- se
- ▁this
- ld
- ly
- ▁go
- ▁k
- ▁st
- st
- ch
- ▁li
- ▁u
- am
- ur
- ce
- ith
- im
- ▁so
- ▁have
- ▁do
- ht
- th
- ▁an
- ▁with
- ad
- ▁r
- ir
- ▁was
- ▁as
- ▁W
- ▁are
- ust
- ally
- ▁j
- ▁se
- ation
- od
- ere
- ▁like
- ▁not
- ▁kn
- ight
- ▁B
- ▁they
- ▁And
- ▁know
- ome
- op
- ▁can
- ▁or
- ▁sh
- ▁me
- ill
- ant
- ck
- ▁what
- ▁at
- ▁ab
- ould
- ol
- ▁So
- ▁C
- use
- ter
- il
- ▁but
- ▁just
- ▁ne
- ▁de
- ra
- ore
- ▁there
- ul
- out
- ▁con
- ▁all
- ▁The
- ers
- ▁H
- ▁fr
- ▁pro
- ge
- ea
- ▁Y
- ▁O
- ▁M
- pp
- ▁com
- ess
- ▁ch
- ▁al
- est
- ate
- qu
- ▁lo
- ▁ex
- very
- ▁su
- ain
- ▁one
- ca
- art
- ist
- if
- ive
- ▁if
- ink
- nt
- ab
- ▁about
- ▁going
- ▁v
- ▁wor
- um
- ok
- ▁your
- ▁my
- ind
- ▁get
- cause
- ▁from
- ▁don
- ri
- pe
- un
- ity
- ▁up
- ▁P
- ▁out
- ort
- ▁L
- ment
- el
- ▁N
- ▁some
- ich
- and
- ▁think
- em
- oug
- ▁G
- os
- ▁D
- res
- ▁because
- ▁by
- ake
- ▁int
- ie
- ▁us
- ▁tr
- ▁then
- ack
- ▁pl
- ▁here
- ▁pe
- her
- ▁will
- ▁F
- ▁which
- ard
- ▁right
- ▁thing
- ▁want
- ies
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target: src.model.asr_bpe_model.EncDecRNNTBPEModelSTNO
nemo_version: 2.7.3