Hey I found succes in starting a training with the v.0.8.2 release , however when I go to train the during the first epoch’s validation I get this message.
!python3 DeepSpeech.py --train_files /content/it/cv-corpus-5.1-2020-06-22/it/clips/train.csv --dev_files /content/it/cv-corpus-5.1-2020-06-22/it/clips/dev.csv --test_files /content/it/cv-corpus-5.1-2020-06-22/it/clips/test.csv --dev_batch_size 64 --epochs 5 --export_dir /content/model/ --log_dir /content/logs/ --n_hidden 100 --train_cudnn ‘true’ --test_batch_size 64 --train_batch_size 64 --summary_dir /content/tensorboardlogs/ --load_checkpoint_dir /content/checks/ -save_checkpoint_dir /content/checks/ --augment add[p=0.1,stddev=1.5,domain=‘spectrogram’] --alphabet_config_path /content/it/alphabet.txt
I0831 18:40:40.632251 140315359344512 utils.py:141] NumExpr defaulting to 2 threads.
I Could not find best validating checkpoint.
I Could not find most recent checkpoint.
I Initializing all variables.
I STARTING Optimization
Epoch 0 | Training | Elapsed Time: 0:07:18 | Steps: 649 | Loss: 194.263276
Epoch 0 | Validation | Elapsed Time: 0:01:13 | Steps: 136 | Loss: 156.326483 | Dataset: /content/it/cv-corpus-5.1-2020-06-22/it/clips/dev.csvTraceback (most recent call last):
File “DeepSpeech.py”, line 12, in
ds_train.run_script()
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/train.py”, line 961, in run_script
absl.app.run(main)
File “/usr/local/lib/python3.6/dist-packages/absl/app.py”, line 299, in run
_run_main(main, args)
File “/usr/local/lib/python3.6/dist-packages/absl/app.py”, line 250, in _run_main
sys.exit(main(argv))
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/train.py”, line 933, in main
train()
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/train.py”, line 611, in train
set_loss, steps = run_set(‘dev’, epoch, init_op, dataset=source)
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/train.py”, line 567, in run_set
exception_box.raise_if_set()
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/util/helpers.py”, line 123, in raise_if_set
raise exception # pylint: disable = raising-bad-type
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/util/helpers.py”, line 131, in do_iterate
yield from iterable()
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/util/feeding.py”, line 118, in generate_values
transcript = text_to_char_array(sample.transcript, Config.alphabet, context=sample.sample_id)
File “/usr/local/lib/python3.6/dist-packages/deepspeech_training/util/text.py”, line 18, in text_to_char_array
.format(transcript, context, list(ch for ch in transcript if not alphabet.CanEncodeSingle(ch))))
ValueError: Alphabet cannot encode transcript “non scrivono comunicati come anonymous non twittano #tangodown quando tirano giù qualche sito” while processing sample “/content/it/cv-corpus-5.1-2020-06-22/it/clips/common_voice_it_17894238.wav”, check that your alphabet contains all characters in the training corpus. Missing characters are: [’#’].
Process ForkPoolWorker-3:
Process ForkPoolWorker-4:
Error in atexit._run_exitfuncs:
Traceback (most recent call last):
File “/usr/lib/python3.6/multiprocessing/util.py”, line 262, in _run_finalizers
finalizer()
File “/usr/lib/python3.6/multiprocessing/util.py”, line 186, in call
res = self._callback(*self._args, **self._kwargs)
File “/usr/lib/python3.6/multiprocessing/pool.py”, line 571, in _terminate_pool
cls._help_stuff_finish(inqueue, task_handler, len(pool))
File “/usr/lib/python3.6/multiprocessing/pool.py”, line 556, in _help_stuff_finish
inqueue._rlock.acquire()
KeyboardInterrupt
Traceback (most recent call last):
File “/usr/lib/python3.6/multiprocessing/process.py”, line 258, in _bootstrap
self.run()
File “/usr/lib/python3.6/multiprocessing/process.py”, line 93, in run
self._target(*self._args, **self._kwargs)
File “/usr/lib/python3.6/multiprocessing/pool.py”, line 108, in worker
task = get()
File “/usr/lib/python3.6/multiprocessing/queues.py”, line 334, in get
with self._rlock:
File “/usr/lib/python3.6/multiprocessing/synchronize.py”, line 95, in enter
return self._semlock.enter()
KeyboardInterrupt
Traceback (most recent call last):
File “/usr/lib/python3.6/multiprocessing/process.py”, line 258, in _bootstrap
self.run()
File “/usr/lib/python3.6/multiprocessing/process.py”, line 93, in run
self._target(*self._args, **self._kwargs)
File “/usr/lib/python3.6/multiprocessing/pool.py”, line 108, in worker
task = get()
File “/usr/lib/python3.6/multiprocessing/queues.py”, line 335, in get
res = self._reader.recv_bytes()
File “/usr/lib/python3.6/multiprocessing/connection.py”, line 216, in recv_bytes
buf = self._recv_bytes(maxlength)
File “/usr/lib/python3.6/multiprocessing/connection.py”, line 407, in _recv_bytes
buf = self._recv(4)
File “/usr/lib/python3.6/multiprocessing/connection.py”, line 379, in _recv
chunk = read(handle, remaining)
KeyboardInterrupt
^C
I did this line to get character into alphabet.txt
! python3 training/deepspeech_training/util/check_characters.py --alphabet-format -unicode -csv …/it/cv-corpus-5.1-2020-06-22/it/clips/train.csv,…/it/cv-corpus-5.1-2020-06-22/it/clips/dev.csv,…/it/cv-corpus-5.1-2020-06-22/it/clips/test.csv >> /content/it/alphabet.txt
And these get moved into the alphabet.txt file after running
Reading in the following transcript files:
[’/content/it/cv-corpus-5.1-2020-06-22/it/clips/train.csv’, ‘/content/it/cv-corpus-5.1-2020-06-22/it/clips/dev.csv’, ‘/content/it/cv-corpus-5.1-2020-06-22/it/clips/test.csv’]
The following unique characters were found in your transcripts:
ř
ž
š
љ
л
ə
g
å
ц
u
…
$
ú
ō
þ
ò
„
č
œ
‘
r
z
ć
ë
ā
x
–
ô
旅
多
ę
ḥ
î
ß
ė
ī
ä
j
°
’
ï
à
ø
ı
s
ň
í
ñ
~
’
ð
á
ó
đ
ד
ì
µ
万
ʻ
ź
f
`
»
禅
ʿ
/
ü
ъ
l
m
t
û
”
«
ł
古
i
p
ő
v
“
ě
é
)
ö
è
¡
d
w
ʹ
ş
a
ș
ã
ו
ś
е
ṣ
k
b
ʾ
h
ה
æ
ù
c
ğ
а
ń
n
ū
ê
e
б
o
´
y
q
^^^ You can copy-paste these into data/alphabet.txt ###### Reading in the following transcript files:
[’/content/it/cv-corpus-5.1-2020-06-22/it/clips/train.csv’, ‘/content/it/cv-corpus-5.1-2020-06-22/it/clips/dev.csv’, ‘/content/it/cv-corpus-5.1-2020-06-22/it/clips/test.csv’]
The following unique characters were found in your transcripts:
–
č
/
’
s
旅
é
á
ə
c
ü
ʾ
d
ì
$
‘
ū
ï
万
ň
ו
m
p
k
ò
w
ð
ī
)
û
n
f
’
ā
ó
g
ד
ḥ
ș
ù
古
ö
ה
ź
“
ø
à
ł
ě
ë
ʻ
ß
ő
а
å
ę
ä
j
t
đ
»
«
ъ
î
ṣ
b
ц
q
ś
б
ı
ž
š
œ
ş
x
þ
u
`
ê
ń
…
°
ã
ʿ
µ
ô
л
ğ
ú
ō
љ
o
h
~
¡
ʹ
v
a
y
l
ñ
æ
z
禅
ć
ř
r
e
”
„
í
´
е
è
ė
i
多
^^^ You can copy-paste these into data/alphabet.txt
It does have the ‘#’ character am I looking at a wrong alphabet?
The dataset used is the Italian one from commonvoice
Thanks for the help in advance.