Update model
Browse files- README.md +526 -0
- data/token_list/bpe_unigram250/bpe.model +3 -0
- exp/asr_stats_raw_bpe250_sp/train/feats_stats.npz +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/73epoch.pth +3 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/RESULTS.md +32 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/config.yaml +426 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/acc.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/backward_time.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/cer.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/cer_ctc.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/forward_time.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/iter_time.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss_att.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss_ctc.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/optim0_lr0.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/optim_step_time.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/train_time.png +0 -0
- exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/wer.png +0 -0
- exp/lm_train_bpe250/config.yaml +373 -0
- exp/lm_train_bpe250/images/backward_time.png +0 -0
- exp/lm_train_bpe250/images/forward_time.png +0 -0
- exp/lm_train_bpe250/images/gpu_max_cached_mem_GB.png +0 -0
- exp/lm_train_bpe250/images/iter_time.png +0 -0
- exp/lm_train_bpe250/images/loss.png +0 -0
- exp/lm_train_bpe250/images/optim0_lr0.png +0 -0
- exp/lm_train_bpe250/images/optim_step_time.png +0 -0
- exp/lm_train_bpe250/images/train_time.png +0 -0
- exp/lm_train_bpe250/perplexity_test/ppl +1 -0
- exp/lm_train_bpe250/valid.loss.ave_10best.pth +3 -0
- meta.yaml +10 -0
README.md
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1 |
+
---
|
2 |
+
tags:
|
3 |
+
- espnet
|
4 |
+
- audio
|
5 |
+
- automatic-speech-recognition
|
6 |
+
language: noinfo
|
7 |
+
datasets:
|
8 |
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- totonac
|
9 |
+
license: cc-by-4.0
|
10 |
+
---
|
11 |
+
|
12 |
+
## ESPnet2 ASR model
|
13 |
+
|
14 |
+
### `espnet/ftshijt_espnet2_asr_totonac_transformer`
|
15 |
+
|
16 |
+
This model was trained by ftshijt using totonac recipe in [espnet](https://github.com/espnet/espnet/).
|
17 |
+
|
18 |
+
### Demo: How to use in ESPnet2
|
19 |
+
|
20 |
+
```bash
|
21 |
+
cd espnet
|
22 |
+
|
23 |
+
pip install -e .
|
24 |
+
cd els/totonac/asr1
|
25 |
+
./run.sh --skip_data_prep false --skip_train true --download_model espnet/ftshijt_espnet2_asr_totonac_transformer
|
26 |
+
```
|
27 |
+
|
28 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
29 |
+
# RESULTS
|
30 |
+
## Environments
|
31 |
+
- date: `Sun Nov 7 09:22:09 EST 2021`
|
32 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
33 |
+
- espnet version: `espnet 0.10.4a1`
|
34 |
+
- pytorch version: `pytorch 1.9.0`
|
35 |
+
- Git hash: ``
|
36 |
+
- Commit date: ``
|
37 |
+
|
38 |
+
## asr_train_asr_transformer_specaug_raw_bpe250_sp
|
39 |
+
### WER
|
40 |
+
|
41 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
42 |
+
|---|---|---|---|---|---|---|---|---|
|
43 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|3547|59.8|32.9|7.3|6.5|46.7|87.4|
|
44 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|5018|55.5|35.7|8.8|6.1|50.6|92.0|
|
45 |
+
|
46 |
+
### CER
|
47 |
+
|
48 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
49 |
+
|---|---|---|---|---|---|---|---|---|
|
50 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|22510|88.1|4.4|7.4|3.9|15.8|87.4|
|
51 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|32990|86.9|4.3|8.8|4.0|17.1|92.0|
|
52 |
+
|
53 |
+
### TER
|
54 |
+
|
55 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
56 |
+
|---|---|---|---|---|---|---|---|---|
|
57 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|9360|70.3|15.8|13.8|4.3|34.0|87.4|
|
58 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|13835|70.5|16.0|13.6|4.4|33.9|92.0|
|
59 |
+
|
60 |
+
## ASR config
|
61 |
+
|
62 |
+
<details><summary>expand</summary>
|
63 |
+
|
64 |
+
```
|
65 |
+
config: conf/tuning/train_asr_transformer_specaug.yaml
|
66 |
+
print_config: false
|
67 |
+
log_level: INFO
|
68 |
+
dry_run: false
|
69 |
+
iterator_type: sequence
|
70 |
+
output_dir: exp/asr_train_asr_transformer_specaug_raw_bpe250_sp
|
71 |
+
ngpu: 1
|
72 |
+
seed: 0
|
73 |
+
num_workers: 1
|
74 |
+
num_att_plot: 3
|
75 |
+
dist_backend: nccl
|
76 |
+
dist_init_method: env://
|
77 |
+
dist_world_size: null
|
78 |
+
dist_rank: null
|
79 |
+
local_rank: 0
|
80 |
+
dist_master_addr: null
|
81 |
+
dist_master_port: null
|
82 |
+
dist_launcher: null
|
83 |
+
multiprocessing_distributed: false
|
84 |
+
unused_parameters: false
|
85 |
+
sharded_ddp: false
|
86 |
+
cudnn_enabled: true
|
87 |
+
cudnn_benchmark: false
|
88 |
+
cudnn_deterministic: true
|
89 |
+
collect_stats: false
|
90 |
+
write_collected_feats: false
|
91 |
+
max_epoch: 100
|
92 |
+
patience: 15
|
93 |
+
val_scheduler_criterion:
|
94 |
+
- valid
|
95 |
+
- loss
|
96 |
+
early_stopping_criterion:
|
97 |
+
- valid
|
98 |
+
- loss
|
99 |
+
- min
|
100 |
+
best_model_criterion:
|
101 |
+
- - valid
|
102 |
+
- acc
|
103 |
+
- max
|
104 |
+
keep_nbest_models: 10
|
105 |
+
grad_clip: 5
|
106 |
+
grad_clip_type: 2.0
|
107 |
+
grad_noise: false
|
108 |
+
accum_grad: 2
|
109 |
+
no_forward_run: false
|
110 |
+
resume: true
|
111 |
+
train_dtype: float32
|
112 |
+
use_amp: false
|
113 |
+
log_interval: null
|
114 |
+
use_tensorboard: true
|
115 |
+
use_wandb: false
|
116 |
+
wandb_project: null
|
117 |
+
wandb_id: null
|
118 |
+
wandb_entity: null
|
119 |
+
wandb_name: null
|
120 |
+
wandb_model_log_interval: -1
|
121 |
+
detect_anomaly: false
|
122 |
+
pretrain_path: null
|
123 |
+
init_param: []
|
124 |
+
ignore_init_mismatch: false
|
125 |
+
freeze_param: []
|
126 |
+
num_iters_per_epoch: null
|
127 |
+
batch_size: 32
|
128 |
+
valid_batch_size: null
|
129 |
+
batch_bins: 1000000
|
130 |
+
valid_batch_bins: null
|
131 |
+
train_shape_file:
|
132 |
+
- exp/asr_stats_raw_bpe250_sp/train/speech_shape
|
133 |
+
- exp/asr_stats_raw_bpe250_sp/train/text_shape.bpe
|
134 |
+
valid_shape_file:
|
135 |
+
- exp/asr_stats_raw_bpe250_sp/valid/speech_shape
|
136 |
+
- exp/asr_stats_raw_bpe250_sp/valid/text_shape.bpe
|
137 |
+
batch_type: folded
|
138 |
+
valid_batch_type: null
|
139 |
+
fold_length:
|
140 |
+
- 80000
|
141 |
+
- 150
|
142 |
+
sort_in_batch: descending
|
143 |
+
sort_batch: descending
|
144 |
+
multiple_iterator: false
|
145 |
+
chunk_length: 500
|
146 |
+
chunk_shift_ratio: 0.5
|
147 |
+
num_cache_chunks: 1024
|
148 |
+
train_data_path_and_name_and_type:
|
149 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/wav.scp
|
150 |
+
- speech
|
151 |
+
- kaldi_ark
|
152 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/text
|
153 |
+
- text
|
154 |
+
- text
|
155 |
+
valid_data_path_and_name_and_type:
|
156 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/dev/wav.scp
|
157 |
+
- speech
|
158 |
+
- kaldi_ark
|
159 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/dev/text
|
160 |
+
- text
|
161 |
+
- text
|
162 |
+
allow_variable_data_keys: false
|
163 |
+
max_cache_size: 0.0
|
164 |
+
max_cache_fd: 32
|
165 |
+
valid_max_cache_size: null
|
166 |
+
optim: adam
|
167 |
+
optim_conf:
|
168 |
+
lr: 1.0
|
169 |
+
scheduler: noamlr
|
170 |
+
scheduler_conf:
|
171 |
+
warmup_steps: 4000
|
172 |
+
token_list:
|
173 |
+
- <blank>
|
174 |
+
- <unk>
|
175 |
+
- ':'
|
176 |
+
- ▁N
|
177 |
+
- NI
|
178 |
+
- N
|
179 |
+
- ▁IYMA
|
180 |
+
- ▁NA
|
181 |
+
- NA
|
182 |
+
- ▁WA
|
183 |
+
- WA
|
184 |
+
- ▁
|
185 |
+
- ''''
|
186 |
+
- KA
|
187 |
+
- ▁MA
|
188 |
+
- MA
|
189 |
+
- T
|
190 |
+
- ▁XA
|
191 |
+
- TA
|
192 |
+
- NCHU
|
193 |
+
- WI
|
194 |
+
- ▁LI
|
195 |
+
- ▁NI
|
196 |
+
- PA
|
197 |
+
- YI
|
198 |
+
- ▁PUS
|
199 |
+
- K
|
200 |
+
- ▁PI
|
201 |
+
- ▁X
|
202 |
+
- S
|
203 |
+
- ▁TA
|
204 |
+
- YA
|
205 |
+
- ▁LA
|
206 |
+
- Q
|
207 |
+
- QA
|
208 |
+
- TI
|
209 |
+
- ▁KA
|
210 |
+
- QO
|
211 |
+
- W
|
212 |
+
- ▁KAH
|
213 |
+
- ▁PALA
|
214 |
+
- H
|
215 |
+
- X
|
216 |
+
- XA
|
217 |
+
- ▁KI
|
218 |
+
- A
|
219 |
+
- LH
|
220 |
+
- I
|
221 |
+
- LA
|
222 |
+
- ▁CHA
|
223 |
+
- ▁A
|
224 |
+
- ▁XLI
|
225 |
+
- ▁LHI
|
226 |
+
- U
|
227 |
+
- ▁K
|
228 |
+
- KANI
|
229 |
+
- KU
|
230 |
+
- Y
|
231 |
+
- ▁LU
|
232 |
+
- Á
|
233 |
+
- ▁CHU
|
234 |
+
- O
|
235 |
+
- KI
|
236 |
+
- ▁KIWI
|
237 |
+
- NTLA
|
238 |
+
- ▁TLA
|
239 |
+
- M
|
240 |
+
- ▁TAWA
|
241 |
+
- ▁TI
|
242 |
+
- ▁S
|
243 |
+
- WANI
|
244 |
+
- CHA
|
245 |
+
- LHI
|
246 |
+
- LI
|
247 |
+
- ▁TU
|
248 |
+
- ▁PALHA
|
249 |
+
- Í
|
250 |
+
- ▁CHANÁ
|
251 |
+
- ▁KILHWAMPA
|
252 |
+
- KÁN
|
253 |
+
- ▁WAYMA
|
254 |
+
- E
|
255 |
+
- SA
|
256 |
+
- ▁E
|
257 |
+
- ▁LHU
|
258 |
+
- LHA
|
259 |
+
- PU
|
260 |
+
- ▁LHA
|
261 |
+
- ▁PA
|
262 |
+
- ▁LAK
|
263 |
+
- ▁ANTA
|
264 |
+
- ▁KITI
|
265 |
+
- NCHÚ
|
266 |
+
- SI
|
267 |
+
- TLA
|
268 |
+
- PI
|
269 |
+
- ▁KINI
|
270 |
+
- CHI
|
271 |
+
- ▁PEROH
|
272 |
+
- ▁PU
|
273 |
+
- QÓ
|
274 |
+
- QALHCHIWINA
|
275 |
+
- TU
|
276 |
+
- ▁TLHA
|
277 |
+
- ▁WI
|
278 |
+
- NÁ
|
279 |
+
- ▁KAN
|
280 |
+
- ▁NAYI
|
281 |
+
- CH
|
282 |
+
- 'NO'
|
283 |
+
- ▁U
|
284 |
+
- TSA
|
285 |
+
- MÁ
|
286 |
+
- NQO
|
287 |
+
- ▁ANA
|
288 |
+
- ▁LIKWA
|
289 |
+
- ▁XTA
|
290 |
+
- J
|
291 |
+
- ▁QALH
|
292 |
+
- TO
|
293 |
+
- TÁ
|
294 |
+
- ▁USA
|
295 |
+
- ▁PORQUE
|
296 |
+
- ▁MI
|
297 |
+
- L
|
298 |
+
- ▁TAWÁ
|
299 |
+
- XI
|
300 |
+
- LHAQAPASA
|
301 |
+
- P
|
302 |
+
- CHIWI
|
303 |
+
- WÁ
|
304 |
+
- NTI
|
305 |
+
- ▁JKA
|
306 |
+
- Ú
|
307 |
+
- NTLHA
|
308 |
+
- R
|
309 |
+
- TSI
|
310 |
+
- C
|
311 |
+
- STA
|
312 |
+
- ▁LH
|
313 |
+
- LHU
|
314 |
+
- MPI
|
315 |
+
- ▁I
|
316 |
+
- ▁NILH
|
317 |
+
- ▁KATSI
|
318 |
+
- ▁LHAK
|
319 |
+
- MAKLHAKASKI
|
320 |
+
- ▁WANIKÁN
|
321 |
+
- ▁WIXI
|
322 |
+
- ▁TSI
|
323 |
+
- KÚ
|
324 |
+
- NÍ
|
325 |
+
- ▁PAKS
|
326 |
+
- NU
|
327 |
+
- TLHA
|
328 |
+
- YÁ
|
329 |
+
- KUCHAN
|
330 |
+
- XAQATLI
|
331 |
+
- ▁MAX
|
332 |
+
- ▁LAQAPASA
|
333 |
+
- ▁LAQ
|
334 |
+
- QALH
|
335 |
+
- KATSI
|
336 |
+
- Ó
|
337 |
+
- LAQAPASA
|
338 |
+
- ▁J
|
339 |
+
- ▁QAMA
|
340 |
+
- NTU
|
341 |
+
- MI
|
342 |
+
- KIWI
|
343 |
+
- ▁KIN
|
344 |
+
- ▁XANAT
|
345 |
+
- ▁CHI
|
346 |
+
- JA
|
347 |
+
- ▁IY
|
348 |
+
- ▁TSU
|
349 |
+
- MAKLAKAS
|
350 |
+
- ▁MAQA
|
351 |
+
- LÁ
|
352 |
+
- ▁KATSIYA
|
353 |
+
- ▁TLANKA
|
354 |
+
- ▁STAK
|
355 |
+
- ▁XLA
|
356 |
+
- ▁LHIKWA
|
357 |
+
- ▁SQA
|
358 |
+
- ▁P
|
359 |
+
- TAHNA
|
360 |
+
- ▁TLAQ
|
361 |
+
- ▁JKATSI
|
362 |
+
- MAKLAKASKINKA
|
363 |
+
- YÁW
|
364 |
+
- WATIYA
|
365 |
+
- CHÁ
|
366 |
+
- ▁IPORQUEI
|
367 |
+
- ▁AKXNI
|
368 |
+
- TSU
|
369 |
+
- ▁TSINÓ
|
370 |
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- ▁STAKA
|
371 |
+
- ▁AKXNÍ
|
372 |
+
- LAKATA
|
373 |
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- KATSÍ
|
374 |
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- ▁XALHAK
|
375 |
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- TLAWAYA
|
376 |
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- SPUT
|
377 |
+
- ▁XATAWA
|
378 |
+
- QALHCHIWI
|
379 |
+
- PÁ
|
380 |
+
- JU
|
381 |
+
- ▁XAXANAT
|
382 |
+
- ▁PÉREZ
|
383 |
+
- ▁AKTSU
|
384 |
+
- ▁JKI
|
385 |
+
- NTÚ
|
386 |
+
- ▁KATSIYÁ
|
387 |
+
- ▁IESTEI
|
388 |
+
- LAQAPASÁ
|
389 |
+
- ▁MASKI
|
390 |
+
- ▁LAQSQATÁ
|
391 |
+
- ▁TLHANKA
|
392 |
+
- ▁WANIKANI
|
393 |
+
- ▁LÓPEZ
|
394 |
+
- MAKLAKASKINKÁN
|
395 |
+
- ▁ANTÁ
|
396 |
+
- ▁TACHIWÍ
|
397 |
+
- ▁SEBAST
|
398 |
+
- ▁CANO
|
399 |
+
- ▁XKUTNI
|
400 |
+
- ▁UKXILH
|
401 |
+
- TANKAH
|
402 |
+
- LAKASKINQO
|
403 |
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- LAKAPASTAK
|
404 |
+
- ▁XCHACHAT
|
405 |
+
- TAKAWANÍ
|
406 |
+
- ▁TLÁ
|
407 |
+
- ▁TSINOH
|
408 |
+
- KAXTLAWA
|
409 |
+
- ▁NÚÑEZ
|
410 |
+
- ▁XLAKASKINKA
|
411 |
+
- ▁WÁTIYA
|
412 |
+
- ONCE
|
413 |
+
- Z
|
414 |
+
- É
|
415 |
+
- D
|
416 |
+
- Ñ
|
417 |
+
- V
|
418 |
+
- F
|
419 |
+
- G
|
420 |
+
- '1'
|
421 |
+
- B
|
422 |
+
- <sos/eos>
|
423 |
+
init: xavier_uniform
|
424 |
+
input_size: null
|
425 |
+
ctc_conf:
|
426 |
+
dropout_rate: 0.0
|
427 |
+
ctc_type: builtin
|
428 |
+
reduce: true
|
429 |
+
ignore_nan_grad: true
|
430 |
+
model_conf:
|
431 |
+
ctc_weight: 0.3
|
432 |
+
lsm_weight: 0.1
|
433 |
+
length_normalized_loss: false
|
434 |
+
use_preprocessor: true
|
435 |
+
token_type: bpe
|
436 |
+
bpemodel: data/token_list/bpe_unigram250/bpe.model
|
437 |
+
non_linguistic_symbols: null
|
438 |
+
cleaner: null
|
439 |
+
g2p: null
|
440 |
+
speech_volume_normalize: null
|
441 |
+
rir_scp: null
|
442 |
+
rir_apply_prob: 1.0
|
443 |
+
noise_scp: null
|
444 |
+
noise_apply_prob: 1.0
|
445 |
+
noise_db_range: '13_15'
|
446 |
+
frontend: default
|
447 |
+
frontend_conf:
|
448 |
+
fs: 16k
|
449 |
+
specaug: specaug
|
450 |
+
specaug_conf:
|
451 |
+
apply_time_warp: true
|
452 |
+
time_warp_window: 5
|
453 |
+
time_warp_mode: bicubic
|
454 |
+
apply_freq_mask: true
|
455 |
+
freq_mask_width_range:
|
456 |
+
- 0
|
457 |
+
- 30
|
458 |
+
num_freq_mask: 2
|
459 |
+
apply_time_mask: true
|
460 |
+
time_mask_width_range:
|
461 |
+
- 0
|
462 |
+
- 40
|
463 |
+
num_time_mask: 2
|
464 |
+
normalize: global_mvn
|
465 |
+
normalize_conf:
|
466 |
+
stats_file: exp/asr_stats_raw_bpe250_sp/train/feats_stats.npz
|
467 |
+
preencoder: null
|
468 |
+
preencoder_conf: {}
|
469 |
+
encoder: transformer
|
470 |
+
encoder_conf:
|
471 |
+
input_layer: conv2d
|
472 |
+
num_blocks: 12
|
473 |
+
linear_units: 2048
|
474 |
+
dropout_rate: 0.1
|
475 |
+
output_size: 256
|
476 |
+
attention_heads: 4
|
477 |
+
attention_dropout_rate: 0.0
|
478 |
+
postencoder: null
|
479 |
+
postencoder_conf: {}
|
480 |
+
decoder: transformer
|
481 |
+
decoder_conf:
|
482 |
+
input_layer: embed
|
483 |
+
num_blocks: 6
|
484 |
+
linear_units: 2048
|
485 |
+
dropout_rate: 0.1
|
486 |
+
required:
|
487 |
+
- output_dir
|
488 |
+
- token_list
|
489 |
+
version: 0.10.4a1
|
490 |
+
distributed: false
|
491 |
+
```
|
492 |
+
|
493 |
+
</details>
|
494 |
+
|
495 |
+
|
496 |
+
|
497 |
+
### Citing ESPnet
|
498 |
+
|
499 |
+
```BibTex
|
500 |
+
@inproceedings{watanabe2018espnet,
|
501 |
+
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
|
502 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
503 |
+
year={2018},
|
504 |
+
booktitle={Proceedings of Interspeech},
|
505 |
+
pages={2207--2211},
|
506 |
+
doi={10.21437/Interspeech.2018-1456},
|
507 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
508 |
+
}
|
509 |
+
|
510 |
+
|
511 |
+
|
512 |
+
|
513 |
+
```
|
514 |
+
|
515 |
+
or arXiv:
|
516 |
+
|
517 |
+
```bibtex
|
518 |
+
@misc{watanabe2018espnet,
|
519 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
520 |
+
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
|
521 |
+
year={2018},
|
522 |
+
eprint={1804.00015},
|
523 |
+
archivePrefix={arXiv},
|
524 |
+
primaryClass={cs.CL}
|
525 |
+
}
|
526 |
+
```
|
data/token_list/bpe_unigram250/bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28c4aa9cc4fb4f2dcc54e7a91661189d4985730af7d75468f84baa98ceebd157
|
3 |
+
size 241202
|
exp/asr_stats_raw_bpe250_sp/train/feats_stats.npz
ADDED
Binary file (1.4 kB). View file
|
|
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/73epoch.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62e89e5b8cea7c5337d0945d576728edea3f495fc94e3212449028ee94aa6610
|
3 |
+
size 109361573
|
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/RESULTS.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Sun Nov 7 09:22:09 EST 2021`
|
5 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
6 |
+
- espnet version: `espnet 0.10.4a1`
|
7 |
+
- pytorch version: `pytorch 1.9.0`
|
8 |
+
- Git hash: ``
|
9 |
+
- Commit date: ``
|
10 |
+
|
11 |
+
## asr_train_asr_transformer_specaug_raw_bpe250_sp
|
12 |
+
### WER
|
13 |
+
|
14 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
15 |
+
|---|---|---|---|---|---|---|---|---|
|
16 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|3547|59.8|32.9|7.3|6.5|46.7|87.4|
|
17 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|5018|55.5|35.7|8.8|6.1|50.6|92.0|
|
18 |
+
|
19 |
+
### CER
|
20 |
+
|
21 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
22 |
+
|---|---|---|---|---|---|---|---|---|
|
23 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|22510|88.1|4.4|7.4|3.9|15.8|87.4|
|
24 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|32990|86.9|4.3|8.8|4.0|17.1|92.0|
|
25 |
+
|
26 |
+
### TER
|
27 |
+
|
28 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
29 |
+
|---|---|---|---|---|---|---|---|---|
|
30 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|9360|70.3|15.8|13.8|4.3|34.0|87.4|
|
31 |
+
|decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|13835|70.5|16.0|13.6|4.4|33.9|92.0|
|
32 |
+
|
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/config.yaml
ADDED
@@ -0,0 +1,426 @@
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
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|
1 |
+
config: conf/tuning/train_asr_transformer_specaug.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/asr_train_asr_transformer_specaug_raw_bpe250_sp
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 1
|
10 |
+
num_att_plot: 3
|
11 |
+
dist_backend: nccl
|
12 |
+
dist_init_method: env://
|
13 |
+
dist_world_size: null
|
14 |
+
dist_rank: null
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: null
|
17 |
+
dist_master_port: null
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: false
|
20 |
+
unused_parameters: false
|
21 |
+
sharded_ddp: false
|
22 |
+
cudnn_enabled: true
|
23 |
+
cudnn_benchmark: false
|
24 |
+
cudnn_deterministic: true
|
25 |
+
collect_stats: false
|
26 |
+
write_collected_feats: false
|
27 |
+
max_epoch: 100
|
28 |
+
patience: 15
|
29 |
+
val_scheduler_criterion:
|
30 |
+
- valid
|
31 |
+
- loss
|
32 |
+
early_stopping_criterion:
|
33 |
+
- valid
|
34 |
+
- loss
|
35 |
+
- min
|
36 |
+
best_model_criterion:
|
37 |
+
- - valid
|
38 |
+
- acc
|
39 |
+
- max
|
40 |
+
keep_nbest_models: 10
|
41 |
+
grad_clip: 5
|
42 |
+
grad_clip_type: 2.0
|
43 |
+
grad_noise: false
|
44 |
+
accum_grad: 2
|
45 |
+
no_forward_run: false
|
46 |
+
resume: true
|
47 |
+
train_dtype: float32
|
48 |
+
use_amp: false
|
49 |
+
log_interval: null
|
50 |
+
use_tensorboard: true
|
51 |
+
use_wandb: false
|
52 |
+
wandb_project: null
|
53 |
+
wandb_id: null
|
54 |
+
wandb_entity: null
|
55 |
+
wandb_name: null
|
56 |
+
wandb_model_log_interval: -1
|
57 |
+
detect_anomaly: false
|
58 |
+
pretrain_path: null
|
59 |
+
init_param: []
|
60 |
+
ignore_init_mismatch: false
|
61 |
+
freeze_param: []
|
62 |
+
num_iters_per_epoch: null
|
63 |
+
batch_size: 32
|
64 |
+
valid_batch_size: null
|
65 |
+
batch_bins: 1000000
|
66 |
+
valid_batch_bins: null
|
67 |
+
train_shape_file:
|
68 |
+
- exp/asr_stats_raw_bpe250_sp/train/speech_shape
|
69 |
+
- exp/asr_stats_raw_bpe250_sp/train/text_shape.bpe
|
70 |
+
valid_shape_file:
|
71 |
+
- exp/asr_stats_raw_bpe250_sp/valid/speech_shape
|
72 |
+
- exp/asr_stats_raw_bpe250_sp/valid/text_shape.bpe
|
73 |
+
batch_type: folded
|
74 |
+
valid_batch_type: null
|
75 |
+
fold_length:
|
76 |
+
- 80000
|
77 |
+
- 150
|
78 |
+
sort_in_batch: descending
|
79 |
+
sort_batch: descending
|
80 |
+
multiple_iterator: false
|
81 |
+
chunk_length: 500
|
82 |
+
chunk_shift_ratio: 0.5
|
83 |
+
num_cache_chunks: 1024
|
84 |
+
train_data_path_and_name_and_type:
|
85 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/wav.scp
|
86 |
+
- speech
|
87 |
+
- kaldi_ark
|
88 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/text
|
89 |
+
- text
|
90 |
+
- text
|
91 |
+
valid_data_path_and_name_and_type:
|
92 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/dev/wav.scp
|
93 |
+
- speech
|
94 |
+
- kaldi_ark
|
95 |
+
- - /tmp/jiatong-7359.okvPvI3Z/raw/dev/text
|
96 |
+
- text
|
97 |
+
- text
|
98 |
+
allow_variable_data_keys: false
|
99 |
+
max_cache_size: 0.0
|
100 |
+
max_cache_fd: 32
|
101 |
+
valid_max_cache_size: null
|
102 |
+
optim: adam
|
103 |
+
optim_conf:
|
104 |
+
lr: 1.0
|
105 |
+
scheduler: noamlr
|
106 |
+
scheduler_conf:
|
107 |
+
warmup_steps: 4000
|
108 |
+
token_list:
|
109 |
+
- <blank>
|
110 |
+
- <unk>
|
111 |
+
- ':'
|
112 |
+
- ▁N
|
113 |
+
- NI
|
114 |
+
- N
|
115 |
+
- ▁IYMA
|
116 |
+
- ▁NA
|
117 |
+
- NA
|
118 |
+
- ▁WA
|
119 |
+
- WA
|
120 |
+
- ▁
|
121 |
+
- ''''
|
122 |
+
- KA
|
123 |
+
- ▁MA
|
124 |
+
- MA
|
125 |
+
- T
|
126 |
+
- ▁XA
|
127 |
+
- TA
|
128 |
+
- NCHU
|
129 |
+
- WI
|
130 |
+
- ▁LI
|
131 |
+
- ▁NI
|
132 |
+
- PA
|
133 |
+
- YI
|
134 |
+
- ▁PUS
|
135 |
+
- K
|
136 |
+
- ▁PI
|
137 |
+
- ▁X
|
138 |
+
- S
|
139 |
+
- ▁TA
|
140 |
+
- YA
|
141 |
+
- ▁LA
|
142 |
+
- Q
|
143 |
+
- QA
|
144 |
+
- TI
|
145 |
+
- ▁KA
|
146 |
+
- QO
|
147 |
+
- W
|
148 |
+
- ▁KAH
|
149 |
+
- ▁PALA
|
150 |
+
- H
|
151 |
+
- X
|
152 |
+
- XA
|
153 |
+
- ▁KI
|
154 |
+
- A
|
155 |
+
- LH
|
156 |
+
- I
|
157 |
+
- LA
|
158 |
+
- ▁CHA
|
159 |
+
- ▁A
|
160 |
+
- ▁XLI
|
161 |
+
- ▁LHI
|
162 |
+
- U
|
163 |
+
- ▁K
|
164 |
+
- KANI
|
165 |
+
- KU
|
166 |
+
- Y
|
167 |
+
- ▁LU
|
168 |
+
- Á
|
169 |
+
- ▁CHU
|
170 |
+
- O
|
171 |
+
- KI
|
172 |
+
- ▁KIWI
|
173 |
+
- NTLA
|
174 |
+
- ▁TLA
|
175 |
+
- M
|
176 |
+
- ▁TAWA
|
177 |
+
- ▁TI
|
178 |
+
- ▁S
|
179 |
+
- WANI
|
180 |
+
- CHA
|
181 |
+
- LHI
|
182 |
+
- LI
|
183 |
+
- ▁TU
|
184 |
+
- ▁PALHA
|
185 |
+
- Í
|
186 |
+
- ▁CHANÁ
|
187 |
+
- ▁KILHWAMPA
|
188 |
+
- KÁN
|
189 |
+
- ▁WAYMA
|
190 |
+
- E
|
191 |
+
- SA
|
192 |
+
- ▁E
|
193 |
+
- ▁LHU
|
194 |
+
- LHA
|
195 |
+
- PU
|
196 |
+
- ▁LHA
|
197 |
+
- ▁PA
|
198 |
+
- ▁LAK
|
199 |
+
- ▁ANTA
|
200 |
+
- ▁KITI
|
201 |
+
- NCHÚ
|
202 |
+
- SI
|
203 |
+
- TLA
|
204 |
+
- PI
|
205 |
+
- ▁KINI
|
206 |
+
- CHI
|
207 |
+
- ▁PEROH
|
208 |
+
- ▁PU
|
209 |
+
- QÓ
|
210 |
+
- QALHCHIWINA
|
211 |
+
- TU
|
212 |
+
- ▁TLHA
|
213 |
+
- ▁WI
|
214 |
+
- NÁ
|
215 |
+
- ▁KAN
|
216 |
+
- ▁NAYI
|
217 |
+
- CH
|
218 |
+
- 'NO'
|
219 |
+
- ▁U
|
220 |
+
- TSA
|
221 |
+
- MÁ
|
222 |
+
- NQO
|
223 |
+
- ▁ANA
|
224 |
+
- ▁LIKWA
|
225 |
+
- ▁XTA
|
226 |
+
- J
|
227 |
+
- ▁QALH
|
228 |
+
- TO
|
229 |
+
- TÁ
|
230 |
+
- ▁USA
|
231 |
+
- ▁PORQUE
|
232 |
+
- ▁MI
|
233 |
+
- L
|
234 |
+
- ▁TAWÁ
|
235 |
+
- XI
|
236 |
+
- LHAQAPASA
|
237 |
+
- P
|
238 |
+
- CHIWI
|
239 |
+
- WÁ
|
240 |
+
- NTI
|
241 |
+
- ▁JKA
|
242 |
+
- Ú
|
243 |
+
- NTLHA
|
244 |
+
- R
|
245 |
+
- TSI
|
246 |
+
- C
|
247 |
+
- STA
|
248 |
+
- ▁LH
|
249 |
+
- LHU
|
250 |
+
- MPI
|
251 |
+
- ▁I
|
252 |
+
- ▁NILH
|
253 |
+
- ▁KATSI
|
254 |
+
- ▁LHAK
|
255 |
+
- MAKLHAKASKI
|
256 |
+
- ▁WANIKÁN
|
257 |
+
- ▁WIXI
|
258 |
+
- ▁TSI
|
259 |
+
- KÚ
|
260 |
+
- NÍ
|
261 |
+
- ▁PAKS
|
262 |
+
- NU
|
263 |
+
- TLHA
|
264 |
+
- YÁ
|
265 |
+
- KUCHAN
|
266 |
+
- XAQATLI
|
267 |
+
- ▁MAX
|
268 |
+
- ▁LAQAPASA
|
269 |
+
- ▁LAQ
|
270 |
+
- QALH
|
271 |
+
- KATSI
|
272 |
+
- Ó
|
273 |
+
- LAQAPASA
|
274 |
+
- ▁J
|
275 |
+
- ▁QAMA
|
276 |
+
- NTU
|
277 |
+
- MI
|
278 |
+
- KIWI
|
279 |
+
- ▁KIN
|
280 |
+
- ▁XANAT
|
281 |
+
- ▁CHI
|
282 |
+
- JA
|
283 |
+
- ▁IY
|
284 |
+
- ▁TSU
|
285 |
+
- MAKLAKAS
|
286 |
+
- ▁MAQA
|
287 |
+
- LÁ
|
288 |
+
- ▁KATSIYA
|
289 |
+
- ▁TLANKA
|
290 |
+
- ▁STAK
|
291 |
+
- ▁XLA
|
292 |
+
- ▁LHIKWA
|
293 |
+
- ▁SQA
|
294 |
+
- ▁P
|
295 |
+
- TAHNA
|
296 |
+
- ▁TLAQ
|
297 |
+
- ▁JKATSI
|
298 |
+
- MAKLAKASKINKA
|
299 |
+
- YÁW
|
300 |
+
- WATIYA
|
301 |
+
- CHÁ
|
302 |
+
- ▁IPORQUEI
|
303 |
+
- ▁AKXNI
|
304 |
+
- TSU
|
305 |
+
- ▁TSINÓ
|
306 |
+
- ▁STAKA
|
307 |
+
- ▁AKXNÍ
|
308 |
+
- LAKATA
|
309 |
+
- KATSÍ
|
310 |
+
- ▁XALHAK
|
311 |
+
- TLAWAYA
|
312 |
+
- SPUT
|
313 |
+
- ▁XATAWA
|
314 |
+
- QALHCHIWI
|
315 |
+
- PÁ
|
316 |
+
- JU
|
317 |
+
- ▁XAXANAT
|
318 |
+
- ▁PÉREZ
|
319 |
+
- ▁AKTSU
|
320 |
+
- ▁JKI
|
321 |
+
- NTÚ
|
322 |
+
- ▁KATSIYÁ
|
323 |
+
- ▁IESTEI
|
324 |
+
- LAQAPASÁ
|
325 |
+
- ▁MASKI
|
326 |
+
- ▁LAQSQATÁ
|
327 |
+
- ▁TLHANKA
|
328 |
+
- ▁WANIKANI
|
329 |
+
- ▁LÓPEZ
|
330 |
+
- MAKLAKASKINKÁN
|
331 |
+
- ▁ANTÁ
|
332 |
+
- ▁TACHIWÍ
|
333 |
+
- ▁SEBAST
|
334 |
+
- ▁CANO
|
335 |
+
- ▁XKUTNI
|
336 |
+
- ▁UKXILH
|
337 |
+
- TANKAH
|
338 |
+
- LAKASKINQO
|
339 |
+
- LAKAPASTAK
|
340 |
+
- ▁XCHACHAT
|
341 |
+
- TAKAWANÍ
|
342 |
+
- ▁TLÁ
|
343 |
+
- ▁TSINOH
|
344 |
+
- KAXTLAWA
|
345 |
+
- ▁NÚÑEZ
|
346 |
+
- ▁XLAKASKINKA
|
347 |
+
- ▁WÁTIYA
|
348 |
+
- ONCE
|
349 |
+
- Z
|
350 |
+
- É
|
351 |
+
- D
|
352 |
+
- Ñ
|
353 |
+
- V
|
354 |
+
- F
|
355 |
+
- G
|
356 |
+
- '1'
|
357 |
+
- B
|
358 |
+
- <sos/eos>
|
359 |
+
init: xavier_uniform
|
360 |
+
input_size: null
|
361 |
+
ctc_conf:
|
362 |
+
dropout_rate: 0.0
|
363 |
+
ctc_type: builtin
|
364 |
+
reduce: true
|
365 |
+
ignore_nan_grad: true
|
366 |
+
model_conf:
|
367 |
+
ctc_weight: 0.3
|
368 |
+
lsm_weight: 0.1
|
369 |
+
length_normalized_loss: false
|
370 |
+
use_preprocessor: true
|
371 |
+
token_type: bpe
|
372 |
+
bpemodel: data/token_list/bpe_unigram250/bpe.model
|
373 |
+
non_linguistic_symbols: null
|
374 |
+
cleaner: null
|
375 |
+
g2p: null
|
376 |
+
speech_volume_normalize: null
|
377 |
+
rir_scp: null
|
378 |
+
rir_apply_prob: 1.0
|
379 |
+
noise_scp: null
|
380 |
+
noise_apply_prob: 1.0
|
381 |
+
noise_db_range: '13_15'
|
382 |
+
frontend: default
|
383 |
+
frontend_conf:
|
384 |
+
fs: 16k
|
385 |
+
specaug: specaug
|
386 |
+
specaug_conf:
|
387 |
+
apply_time_warp: true
|
388 |
+
time_warp_window: 5
|
389 |
+
time_warp_mode: bicubic
|
390 |
+
apply_freq_mask: true
|
391 |
+
freq_mask_width_range:
|
392 |
+
- 0
|
393 |
+
- 30
|
394 |
+
num_freq_mask: 2
|
395 |
+
apply_time_mask: true
|
396 |
+
time_mask_width_range:
|
397 |
+
- 0
|
398 |
+
- 40
|
399 |
+
num_time_mask: 2
|
400 |
+
normalize: global_mvn
|
401 |
+
normalize_conf:
|
402 |
+
stats_file: exp/asr_stats_raw_bpe250_sp/train/feats_stats.npz
|
403 |
+
preencoder: null
|
404 |
+
preencoder_conf: {}
|
405 |
+
encoder: transformer
|
406 |
+
encoder_conf:
|
407 |
+
input_layer: conv2d
|
408 |
+
num_blocks: 12
|
409 |
+
linear_units: 2048
|
410 |
+
dropout_rate: 0.1
|
411 |
+
output_size: 256
|
412 |
+
attention_heads: 4
|
413 |
+
attention_dropout_rate: 0.0
|
414 |
+
postencoder: null
|
415 |
+
postencoder_conf: {}
|
416 |
+
decoder: transformer
|
417 |
+
decoder_conf:
|
418 |
+
input_layer: embed
|
419 |
+
num_blocks: 6
|
420 |
+
linear_units: 2048
|
421 |
+
dropout_rate: 0.1
|
422 |
+
required:
|
423 |
+
- output_dir
|
424 |
+
- token_list
|
425 |
+
version: 0.10.4a1
|
426 |
+
distributed: false
|
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/acc.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/backward_time.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/cer.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/cer_ctc.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/forward_time.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/gpu_max_cached_mem_GB.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/iter_time.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss_att.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss_ctc.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/optim0_lr0.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/optim_step_time.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/train_time.png
ADDED
exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/wer.png
ADDED
exp/lm_train_bpe250/config.yaml
ADDED
@@ -0,0 +1,373 @@
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|
|
|
1 |
+
config: null
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/lm_train_bpe250
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 1
|
10 |
+
num_att_plot: 3
|
11 |
+
dist_backend: nccl
|
12 |
+
dist_init_method: env://
|
13 |
+
dist_world_size: null
|
14 |
+
dist_rank: null
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: null
|
17 |
+
dist_master_port: null
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: false
|
20 |
+
unused_parameters: false
|
21 |
+
sharded_ddp: false
|
22 |
+
cudnn_enabled: true
|
23 |
+
cudnn_benchmark: false
|
24 |
+
cudnn_deterministic: true
|
25 |
+
collect_stats: false
|
26 |
+
write_collected_feats: false
|
27 |
+
max_epoch: 40
|
28 |
+
patience: null
|
29 |
+
val_scheduler_criterion:
|
30 |
+
- valid
|
31 |
+
- loss
|
32 |
+
early_stopping_criterion:
|
33 |
+
- valid
|
34 |
+
- loss
|
35 |
+
- min
|
36 |
+
best_model_criterion:
|
37 |
+
- - train
|
38 |
+
- loss
|
39 |
+
- min
|
40 |
+
- - valid
|
41 |
+
- loss
|
42 |
+
- min
|
43 |
+
- - train
|
44 |
+
- acc
|
45 |
+
- max
|
46 |
+
- - valid
|
47 |
+
- acc
|
48 |
+
- max
|
49 |
+
keep_nbest_models:
|
50 |
+
- 10
|
51 |
+
grad_clip: 5.0
|
52 |
+
grad_clip_type: 2.0
|
53 |
+
grad_noise: false
|
54 |
+
accum_grad: 1
|
55 |
+
no_forward_run: false
|
56 |
+
resume: true
|
57 |
+
train_dtype: float32
|
58 |
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use_amp: false
|
59 |
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log_interval: null
|
60 |
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use_tensorboard: true
|
61 |
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use_wandb: false
|
62 |
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wandb_project: null
|
63 |
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wandb_id: null
|
64 |
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wandb_entity: null
|
65 |
+
wandb_name: null
|
66 |
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wandb_model_log_interval: -1
|
67 |
+
detect_anomaly: false
|
68 |
+
pretrain_path: null
|
69 |
+
init_param: []
|
70 |
+
ignore_init_mismatch: false
|
71 |
+
freeze_param: []
|
72 |
+
num_iters_per_epoch: null
|
73 |
+
batch_size: 20
|
74 |
+
valid_batch_size: null
|
75 |
+
batch_bins: 1000000
|
76 |
+
valid_batch_bins: null
|
77 |
+
train_shape_file:
|
78 |
+
- exp/lm_stats_bpe250/train/text_shape.bpe
|
79 |
+
valid_shape_file:
|
80 |
+
- exp/lm_stats_bpe250/valid/text_shape.bpe
|
81 |
+
batch_type: folded
|
82 |
+
valid_batch_type: null
|
83 |
+
fold_length:
|
84 |
+
- 150
|
85 |
+
sort_in_batch: descending
|
86 |
+
sort_batch: descending
|
87 |
+
multiple_iterator: false
|
88 |
+
chunk_length: 500
|
89 |
+
chunk_shift_ratio: 0.5
|
90 |
+
num_cache_chunks: 1024
|
91 |
+
train_data_path_and_name_and_type:
|
92 |
+
- - dump/raw/lm_train.txt
|
93 |
+
- text
|
94 |
+
- text
|
95 |
+
valid_data_path_and_name_and_type:
|
96 |
+
- - dump/raw/dev/text
|
97 |
+
- text
|
98 |
+
- text
|
99 |
+
allow_variable_data_keys: false
|
100 |
+
max_cache_size: 0.0
|
101 |
+
max_cache_fd: 32
|
102 |
+
valid_max_cache_size: null
|
103 |
+
optim: adadelta
|
104 |
+
optim_conf: {}
|
105 |
+
scheduler: null
|
106 |
+
scheduler_conf: {}
|
107 |
+
token_list:
|
108 |
+
- <blank>
|
109 |
+
- <unk>
|
110 |
+
- ':'
|
111 |
+
- ▁N
|
112 |
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- NI
|
113 |
+
- N
|
114 |
+
- ▁IYMA
|
115 |
+
- ▁NA
|
116 |
+
- NA
|
117 |
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- ▁WA
|
118 |
+
- WA
|
119 |
+
- ▁
|
120 |
+
- ''''
|
121 |
+
- KA
|
122 |
+
- ▁MA
|
123 |
+
- MA
|
124 |
+
- T
|
125 |
+
- ▁XA
|
126 |
+
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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|
133 |
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|
134 |
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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|
140 |
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|
141 |
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|
142 |
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|
143 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
+
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|
154 |
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|
155 |
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|
156 |
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157 |
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|
158 |
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159 |
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160 |
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161 |
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162 |
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163 |
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164 |
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|
165 |
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|
166 |
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|
167 |
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|
168 |
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|
169 |
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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|
174 |
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|
175 |
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|
176 |
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|
177 |
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|
178 |
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|
179 |
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180 |
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|
181 |
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|
182 |
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|
183 |
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|
184 |
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|
185 |
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|
186 |
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|
187 |
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|
188 |
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|
189 |
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190 |
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|
191 |
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|
192 |
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|
193 |
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194 |
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195 |
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|
196 |
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|
197 |
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198 |
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|
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|
200 |
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201 |
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|
202 |
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|
203 |
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|
204 |
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205 |
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206 |
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207 |
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208 |
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209 |
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|
210 |
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|
211 |
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212 |
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213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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|
218 |
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|
219 |
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|
220 |
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|
221 |
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|
222 |
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|
223 |
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|
224 |
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|
225 |
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|
226 |
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227 |
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228 |
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|
229 |
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230 |
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231 |
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232 |
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|
236 |
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237 |
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238 |
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|
239 |
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|
240 |
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241 |
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242 |
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243 |
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244 |
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245 |
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249 |
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258 |
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init: null
|
359 |
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model_conf:
|
360 |
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ignore_id: 0
|
361 |
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use_preprocessor: true
|
362 |
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token_type: bpe
|
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bpemodel: data/token_list/bpe_unigram250/bpe.model
|
364 |
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non_linguistic_symbols: null
|
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cleaner: null
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g2p: null
|
367 |
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lm: seq_rnn
|
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lm_conf: {}
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369 |
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required:
|
370 |
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- output_dir
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- token_list
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version: 0.10.3a3
|
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distributed: false
|
exp/lm_train_bpe250/images/backward_time.png
ADDED
exp/lm_train_bpe250/images/forward_time.png
ADDED
exp/lm_train_bpe250/images/gpu_max_cached_mem_GB.png
ADDED
exp/lm_train_bpe250/images/iter_time.png
ADDED
exp/lm_train_bpe250/images/loss.png
ADDED
exp/lm_train_bpe250/images/optim0_lr0.png
ADDED
exp/lm_train_bpe250/images/optim_step_time.png
ADDED
exp/lm_train_bpe250/images/train_time.png
ADDED
exp/lm_train_bpe250/perplexity_test/ppl
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
18.3045965777891
|
exp/lm_train_bpe250/valid.loss.ave_10best.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b143d75fce3b31b97930dab08414419abaf4f90edca5797f22a5d8eb5b79e5c8
|
3 |
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size 28385796
|
meta.yaml
ADDED
@@ -0,0 +1,10 @@
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: 0.10.5a1
|
2 |
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files:
|
3 |
+
asr_model_file: exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/73epoch.pth
|
4 |
+
lm_file: exp/lm_train_bpe250/valid.loss.ave_10best.pth
|
5 |
+
python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
|
6 |
+
timestamp: 1640102996.550734
|
7 |
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torch: 1.9.0
|
8 |
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yaml_files:
|
9 |
+
asr_train_config: exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/config.yaml
|
10 |
+
lm_train_config: exp/lm_train_bpe250/config.yaml
|