“siddhu001”
commited on
Commit
•
017260d
1
Parent(s):
848fa78
Update model
Browse files- README.md +327 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/RESULTS.md +46 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/config.yaml +207 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/acc.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/backward_time.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/cer.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/clip.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/forward_time.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/grad_norm.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/iter_time.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/loss.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/loss_att.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/loss_scale.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/optim0_lr0.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/optim_step_time.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/train_time.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/wer.png +0 -0
- exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/valid.loss.ave_10best.pth +3 -0
- meta.yaml +8 -0
README.md
ADDED
@@ -0,0 +1,327 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- espnet
|
4 |
+
- audio
|
5 |
+
- automatic-speech-recognition
|
6 |
+
language: en
|
7 |
+
datasets:
|
8 |
+
- slue-voxceleb
|
9 |
+
license: cc-by-4.0
|
10 |
+
---
|
11 |
+
|
12 |
+
## ESPnet2 ASR model
|
13 |
+
|
14 |
+
### `espnet/sluevoxceleb_wavlm_lightweight_sa`
|
15 |
+
|
16 |
+
This model was trained by “siddhu001” using slue-voxceleb recipe in [espnet](https://github.com/espnet/espnet/).
|
17 |
+
|
18 |
+
### Demo: How to use in ESPnet2
|
19 |
+
|
20 |
+
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
|
21 |
+
if you haven't done that already.
|
22 |
+
|
23 |
+
```bash
|
24 |
+
cd espnet
|
25 |
+
git checkout e23ef85f0b3116ad5c60d0833f186da0deec0734
|
26 |
+
pip install -e .
|
27 |
+
cd egs2/slue-voxceleb/slu1_superb_correct
|
28 |
+
./run.sh --skip_data_prep false --skip_train true --download_model espnet/sluevoxceleb_wavlm_lightweight_sa
|
29 |
+
```
|
30 |
+
|
31 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
32 |
+
# RESULTS
|
33 |
+
## Environments
|
34 |
+
- date: `Wed Feb 7 23:05:29 CST 2024`
|
35 |
+
- python version: `3.9.13 (main, Aug 25 2022, 23:26:10) [GCC 11.2.0]`
|
36 |
+
- espnet version: `espnet 202310`
|
37 |
+
- pytorch version: `pytorch 2.1.0+cu121`
|
38 |
+
- Git hash: `21d2105784e4da98397bf487b2550d4c6e16d40d`
|
39 |
+
- Commit date: `Wed Jan 31 13:40:37 2024 -0600`
|
40 |
+
|
41 |
+
## exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp
|
42 |
+
### WER
|
43 |
+
|
44 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
45 |
+
|---|---|---|---|---|---|---|---|---|
|
46 |
+
|decode_asr_slu_model_valid.loss.ave/devel|1436|1436|73.2|26.8|0.0|0.0|26.8|26.8|
|
47 |
+
|decode_asr_slu_model_valid.loss.ave/test|3426|3426|73.0|27.0|0.0|0.0|27.0|27.0|
|
48 |
+
|
49 |
+
### CER
|
50 |
+
|
51 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
52 |
+
|---|---|---|---|---|---|---|---|---|
|
53 |
+
|decode_asr_slu_model_valid.loss.ave/devel|1436|10365|77.0|20.7|2.3|1.3|24.4|26.8|
|
54 |
+
|decode_asr_slu_model_valid.loss.ave/test|3426|24887|77.1|20.5|2.4|1.2|24.1|27.0|
|
55 |
+
|
56 |
+
### TER
|
57 |
+
|
58 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
59 |
+
|---|---|---|---|---|---|---|---|---|
|
60 |
+
## exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/decode_asr_slu_model_valid.loss.ave
|
61 |
+
### WER
|
62 |
+
|
63 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
64 |
+
|---|---|---|---|---|---|---|---|---|
|
65 |
+
|org/devel|1437|1437|73.2|26.8|0.0|0.0|26.8|26.8|
|
66 |
+
|
67 |
+
### CER
|
68 |
+
|
69 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
70 |
+
|---|---|---|---|---|---|---|---|---|
|
71 |
+
|org/devel|1437|10372|77.0|20.7|2.3|1.3|24.3|26.8|
|
72 |
+
|
73 |
+
### TER
|
74 |
+
|
75 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
76 |
+
|---|---|---|---|---|---|---|---|---|
|
77 |
+
|
78 |
+
## ASR config
|
79 |
+
|
80 |
+
<details><summary>expand</summary>
|
81 |
+
|
82 |
+
```
|
83 |
+
config: conf/train_asr_wavlm_large_0.01.yaml
|
84 |
+
print_config: false
|
85 |
+
log_level: INFO
|
86 |
+
drop_last_iter: false
|
87 |
+
dry_run: false
|
88 |
+
iterator_type: sequence
|
89 |
+
valid_iterator_type: null
|
90 |
+
output_dir: exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp
|
91 |
+
ngpu: 1
|
92 |
+
seed: 0
|
93 |
+
num_workers: 1
|
94 |
+
num_att_plot: 3
|
95 |
+
dist_backend: nccl
|
96 |
+
dist_init_method: env://
|
97 |
+
dist_world_size: 4
|
98 |
+
dist_rank: 0
|
99 |
+
local_rank: 0
|
100 |
+
dist_master_addr: localhost
|
101 |
+
dist_master_port: 53613
|
102 |
+
dist_launcher: null
|
103 |
+
multiprocessing_distributed: true
|
104 |
+
unused_parameters: true
|
105 |
+
sharded_ddp: false
|
106 |
+
cudnn_enabled: true
|
107 |
+
cudnn_benchmark: false
|
108 |
+
cudnn_deterministic: true
|
109 |
+
collect_stats: false
|
110 |
+
write_collected_feats: false
|
111 |
+
max_epoch: 50
|
112 |
+
patience: null
|
113 |
+
val_scheduler_criterion:
|
114 |
+
- valid
|
115 |
+
- loss
|
116 |
+
early_stopping_criterion:
|
117 |
+
- valid
|
118 |
+
- loss
|
119 |
+
- min
|
120 |
+
best_model_criterion:
|
121 |
+
- - valid
|
122 |
+
- loss
|
123 |
+
- min
|
124 |
+
keep_nbest_models: 10
|
125 |
+
nbest_averaging_interval: 0
|
126 |
+
grad_clip: 5.0
|
127 |
+
grad_clip_type: 2.0
|
128 |
+
grad_noise: false
|
129 |
+
accum_grad: 1
|
130 |
+
no_forward_run: false
|
131 |
+
resume: true
|
132 |
+
train_dtype: float32
|
133 |
+
use_amp: false
|
134 |
+
log_interval: null
|
135 |
+
use_matplotlib: true
|
136 |
+
use_tensorboard: true
|
137 |
+
create_graph_in_tensorboard: false
|
138 |
+
use_wandb: false
|
139 |
+
wandb_project: null
|
140 |
+
wandb_id: null
|
141 |
+
wandb_entity: null
|
142 |
+
wandb_name: null
|
143 |
+
wandb_model_log_interval: -1
|
144 |
+
detect_anomaly: false
|
145 |
+
use_lora: false
|
146 |
+
save_lora_only: true
|
147 |
+
lora_conf: {}
|
148 |
+
pretrain_path: null
|
149 |
+
init_param: []
|
150 |
+
ignore_init_mismatch: false
|
151 |
+
freeze_param:
|
152 |
+
- frontend.upstream
|
153 |
+
num_iters_per_epoch: null
|
154 |
+
batch_size: 320
|
155 |
+
valid_batch_size: null
|
156 |
+
batch_bins: 1000000
|
157 |
+
valid_batch_bins: null
|
158 |
+
train_shape_file:
|
159 |
+
- exp/slu_stats_raw_en_word_sp/train/speech_shape
|
160 |
+
- exp/slu_stats_raw_en_word_sp/train/text_shape.word
|
161 |
+
valid_shape_file:
|
162 |
+
- exp/slu_stats_raw_en_word_sp/valid/speech_shape
|
163 |
+
- exp/slu_stats_raw_en_word_sp/valid/text_shape.word
|
164 |
+
batch_type: folded
|
165 |
+
valid_batch_type: null
|
166 |
+
fold_length:
|
167 |
+
- 80000
|
168 |
+
- 150
|
169 |
+
sort_in_batch: descending
|
170 |
+
shuffle_within_batch: false
|
171 |
+
sort_batch: descending
|
172 |
+
multiple_iterator: false
|
173 |
+
chunk_length: 500
|
174 |
+
chunk_shift_ratio: 0.5
|
175 |
+
num_cache_chunks: 1024
|
176 |
+
chunk_excluded_key_prefixes: []
|
177 |
+
chunk_default_fs: null
|
178 |
+
train_data_path_and_name_and_type:
|
179 |
+
- - dump/raw/train_sp/wav.scp
|
180 |
+
- speech
|
181 |
+
- sound
|
182 |
+
- - dump/raw/train_sp/text
|
183 |
+
- text
|
184 |
+
- text
|
185 |
+
valid_data_path_and_name_and_type:
|
186 |
+
- - dump/raw/devel/wav.scp
|
187 |
+
- speech
|
188 |
+
- sound
|
189 |
+
- - dump/raw/devel/text
|
190 |
+
- text
|
191 |
+
- text
|
192 |
+
allow_variable_data_keys: false
|
193 |
+
max_cache_size: 0.0
|
194 |
+
max_cache_fd: 32
|
195 |
+
allow_multi_rates: false
|
196 |
+
valid_max_cache_size: null
|
197 |
+
exclude_weight_decay: false
|
198 |
+
exclude_weight_decay_conf: {}
|
199 |
+
optim: adam
|
200 |
+
optim_conf:
|
201 |
+
lr: 0.01
|
202 |
+
scheduler: warmuplr
|
203 |
+
scheduler_conf:
|
204 |
+
warmup_steps: 1000
|
205 |
+
token_list:
|
206 |
+
- <blank>
|
207 |
+
- <unk>
|
208 |
+
- Neutral
|
209 |
+
- Positive
|
210 |
+
- Negative
|
211 |
+
- <sos/eos>
|
212 |
+
transcript_token_list: null
|
213 |
+
two_pass: false
|
214 |
+
pre_postencoder_norm: false
|
215 |
+
init: null
|
216 |
+
input_size: null
|
217 |
+
ctc_conf:
|
218 |
+
dropout_rate: 0.0
|
219 |
+
ctc_type: builtin
|
220 |
+
reduce: true
|
221 |
+
ignore_nan_grad: null
|
222 |
+
zero_infinity: true
|
223 |
+
brctc_risk_strategy: exp
|
224 |
+
brctc_group_strategy: end
|
225 |
+
brctc_risk_factor: 0.0
|
226 |
+
joint_net_conf: null
|
227 |
+
use_preprocessor: true
|
228 |
+
token_type: word
|
229 |
+
bpemodel: null
|
230 |
+
non_linguistic_symbols: null
|
231 |
+
cleaner: null
|
232 |
+
g2p: null
|
233 |
+
speech_volume_normalize: null
|
234 |
+
rir_scp: null
|
235 |
+
rir_apply_prob: 1.0
|
236 |
+
noise_scp: null
|
237 |
+
noise_apply_prob: 1.0
|
238 |
+
noise_db_range: '13_15'
|
239 |
+
short_noise_thres: 0.5
|
240 |
+
frontend: s3prl
|
241 |
+
frontend_conf:
|
242 |
+
frontend_conf:
|
243 |
+
upstream: wavlm_large
|
244 |
+
download_dir: ./hub
|
245 |
+
multilayer_feature: true
|
246 |
+
fs: 16k
|
247 |
+
specaug: specaug
|
248 |
+
specaug_conf:
|
249 |
+
apply_time_warp: true
|
250 |
+
time_warp_window: 5
|
251 |
+
time_warp_mode: bicubic
|
252 |
+
apply_freq_mask: true
|
253 |
+
freq_mask_width_range:
|
254 |
+
- 0
|
255 |
+
- 30
|
256 |
+
num_freq_mask: 2
|
257 |
+
apply_time_mask: true
|
258 |
+
time_mask_width_range:
|
259 |
+
- 0
|
260 |
+
- 40
|
261 |
+
num_time_mask: 2
|
262 |
+
normalize: utterance_mvn
|
263 |
+
normalize_conf: {}
|
264 |
+
model: espnet
|
265 |
+
model_conf:
|
266 |
+
ctc_weight: 0.0
|
267 |
+
lsm_weight: 0.0
|
268 |
+
length_normalized_loss: false
|
269 |
+
superb_setup: true
|
270 |
+
num_class: 3
|
271 |
+
ssl_input_size: 1024
|
272 |
+
extract_feats_in_collect_stats: false
|
273 |
+
preencoder: null
|
274 |
+
preencoder_conf: {}
|
275 |
+
encoder: rnn
|
276 |
+
encoder_conf: {}
|
277 |
+
postencoder: null
|
278 |
+
postencoder_conf: {}
|
279 |
+
deliberationencoder: null
|
280 |
+
deliberationencoder_conf: {}
|
281 |
+
decoder: rnn
|
282 |
+
decoder_conf: {}
|
283 |
+
postdecoder: null
|
284 |
+
postdecoder_conf: {}
|
285 |
+
required:
|
286 |
+
- output_dir
|
287 |
+
- token_list
|
288 |
+
version: '202310'
|
289 |
+
distributed: true
|
290 |
+
```
|
291 |
+
|
292 |
+
</details>
|
293 |
+
|
294 |
+
|
295 |
+
|
296 |
+
### Citing ESPnet
|
297 |
+
|
298 |
+
```BibTex
|
299 |
+
@inproceedings{watanabe2018espnet,
|
300 |
+
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},
|
301 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
302 |
+
year={2018},
|
303 |
+
booktitle={Proceedings of Interspeech},
|
304 |
+
pages={2207--2211},
|
305 |
+
doi={10.21437/Interspeech.2018-1456},
|
306 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
307 |
+
}
|
308 |
+
|
309 |
+
|
310 |
+
|
311 |
+
|
312 |
+
|
313 |
+
|
314 |
+
```
|
315 |
+
|
316 |
+
or arXiv:
|
317 |
+
|
318 |
+
```bibtex
|
319 |
+
@misc{watanabe2018espnet,
|
320 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
321 |
+
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},
|
322 |
+
year={2018},
|
323 |
+
eprint={1804.00015},
|
324 |
+
archivePrefix={arXiv},
|
325 |
+
primaryClass={cs.CL}
|
326 |
+
}
|
327 |
+
```
|
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/RESULTS.md
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Wed Feb 7 23:05:29 CST 2024`
|
5 |
+
- python version: `3.9.13 (main, Aug 25 2022, 23:26:10) [GCC 11.2.0]`
|
6 |
+
- espnet version: `espnet 202310`
|
7 |
+
- pytorch version: `pytorch 2.1.0+cu121`
|
8 |
+
- Git hash: `21d2105784e4da98397bf487b2550d4c6e16d40d`
|
9 |
+
- Commit date: `Wed Jan 31 13:40:37 2024 -0600`
|
10 |
+
|
11 |
+
## exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp
|
12 |
+
### WER
|
13 |
+
|
14 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
15 |
+
|---|---|---|---|---|---|---|---|---|
|
16 |
+
|decode_asr_slu_model_valid.loss.ave/devel|1436|1436|73.2|26.8|0.0|0.0|26.8|26.8|
|
17 |
+
|decode_asr_slu_model_valid.loss.ave/test|3426|3426|73.0|27.0|0.0|0.0|27.0|27.0|
|
18 |
+
|
19 |
+
### CER
|
20 |
+
|
21 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
22 |
+
|---|---|---|---|---|---|---|---|---|
|
23 |
+
|decode_asr_slu_model_valid.loss.ave/devel|1436|10365|77.0|20.7|2.3|1.3|24.4|26.8|
|
24 |
+
|decode_asr_slu_model_valid.loss.ave/test|3426|24887|77.1|20.5|2.4|1.2|24.1|27.0|
|
25 |
+
|
26 |
+
### TER
|
27 |
+
|
28 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
29 |
+
|---|---|---|---|---|---|---|---|---|
|
30 |
+
## exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/decode_asr_slu_model_valid.loss.ave
|
31 |
+
### WER
|
32 |
+
|
33 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
34 |
+
|---|---|---|---|---|---|---|---|---|
|
35 |
+
|org/devel|1437|1437|73.2|26.8|0.0|0.0|26.8|26.8|
|
36 |
+
|
37 |
+
### CER
|
38 |
+
|
39 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
40 |
+
|---|---|---|---|---|---|---|---|---|
|
41 |
+
|org/devel|1437|10372|77.0|20.7|2.3|1.3|24.3|26.8|
|
42 |
+
|
43 |
+
### TER
|
44 |
+
|
45 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
46 |
+
|---|---|---|---|---|---|---|---|---|
|
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/config.yaml
ADDED
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/train_asr_wavlm_large_0.01.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
drop_last_iter: false
|
5 |
+
dry_run: false
|
6 |
+
iterator_type: sequence
|
7 |
+
valid_iterator_type: null
|
8 |
+
output_dir: exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp
|
9 |
+
ngpu: 1
|
10 |
+
seed: 0
|
11 |
+
num_workers: 1
|
12 |
+
num_att_plot: 3
|
13 |
+
dist_backend: nccl
|
14 |
+
dist_init_method: env://
|
15 |
+
dist_world_size: 4
|
16 |
+
dist_rank: 0
|
17 |
+
local_rank: 0
|
18 |
+
dist_master_addr: localhost
|
19 |
+
dist_master_port: 53613
|
20 |
+
dist_launcher: null
|
21 |
+
multiprocessing_distributed: true
|
22 |
+
unused_parameters: true
|
23 |
+
sharded_ddp: false
|
24 |
+
cudnn_enabled: true
|
25 |
+
cudnn_benchmark: false
|
26 |
+
cudnn_deterministic: true
|
27 |
+
collect_stats: false
|
28 |
+
write_collected_feats: false
|
29 |
+
max_epoch: 50
|
30 |
+
patience: null
|
31 |
+
val_scheduler_criterion:
|
32 |
+
- valid
|
33 |
+
- loss
|
34 |
+
early_stopping_criterion:
|
35 |
+
- valid
|
36 |
+
- loss
|
37 |
+
- min
|
38 |
+
best_model_criterion:
|
39 |
+
- - valid
|
40 |
+
- loss
|
41 |
+
- min
|
42 |
+
keep_nbest_models: 10
|
43 |
+
nbest_averaging_interval: 0
|
44 |
+
grad_clip: 5.0
|
45 |
+
grad_clip_type: 2.0
|
46 |
+
grad_noise: false
|
47 |
+
accum_grad: 1
|
48 |
+
no_forward_run: false
|
49 |
+
resume: true
|
50 |
+
train_dtype: float32
|
51 |
+
use_amp: false
|
52 |
+
log_interval: null
|
53 |
+
use_matplotlib: true
|
54 |
+
use_tensorboard: true
|
55 |
+
create_graph_in_tensorboard: false
|
56 |
+
use_wandb: false
|
57 |
+
wandb_project: null
|
58 |
+
wandb_id: null
|
59 |
+
wandb_entity: null
|
60 |
+
wandb_name: null
|
61 |
+
wandb_model_log_interval: -1
|
62 |
+
detect_anomaly: false
|
63 |
+
use_lora: false
|
64 |
+
save_lora_only: true
|
65 |
+
lora_conf: {}
|
66 |
+
pretrain_path: null
|
67 |
+
init_param: []
|
68 |
+
ignore_init_mismatch: false
|
69 |
+
freeze_param:
|
70 |
+
- frontend.upstream
|
71 |
+
num_iters_per_epoch: null
|
72 |
+
batch_size: 320
|
73 |
+
valid_batch_size: null
|
74 |
+
batch_bins: 1000000
|
75 |
+
valid_batch_bins: null
|
76 |
+
train_shape_file:
|
77 |
+
- exp/slu_stats_raw_en_word_sp/train/speech_shape
|
78 |
+
- exp/slu_stats_raw_en_word_sp/train/text_shape.word
|
79 |
+
valid_shape_file:
|
80 |
+
- exp/slu_stats_raw_en_word_sp/valid/speech_shape
|
81 |
+
- exp/slu_stats_raw_en_word_sp/valid/text_shape.word
|
82 |
+
batch_type: folded
|
83 |
+
valid_batch_type: null
|
84 |
+
fold_length:
|
85 |
+
- 80000
|
86 |
+
- 150
|
87 |
+
sort_in_batch: descending
|
88 |
+
shuffle_within_batch: false
|
89 |
+
sort_batch: descending
|
90 |
+
multiple_iterator: false
|
91 |
+
chunk_length: 500
|
92 |
+
chunk_shift_ratio: 0.5
|
93 |
+
num_cache_chunks: 1024
|
94 |
+
chunk_excluded_key_prefixes: []
|
95 |
+
chunk_default_fs: null
|
96 |
+
train_data_path_and_name_and_type:
|
97 |
+
- - dump/raw/train_sp/wav.scp
|
98 |
+
- speech
|
99 |
+
- sound
|
100 |
+
- - dump/raw/train_sp/text
|
101 |
+
- text
|
102 |
+
- text
|
103 |
+
valid_data_path_and_name_and_type:
|
104 |
+
- - dump/raw/devel/wav.scp
|
105 |
+
- speech
|
106 |
+
- sound
|
107 |
+
- - dump/raw/devel/text
|
108 |
+
- text
|
109 |
+
- text
|
110 |
+
allow_variable_data_keys: false
|
111 |
+
max_cache_size: 0.0
|
112 |
+
max_cache_fd: 32
|
113 |
+
allow_multi_rates: false
|
114 |
+
valid_max_cache_size: null
|
115 |
+
exclude_weight_decay: false
|
116 |
+
exclude_weight_decay_conf: {}
|
117 |
+
optim: adam
|
118 |
+
optim_conf:
|
119 |
+
lr: 0.01
|
120 |
+
scheduler: warmuplr
|
121 |
+
scheduler_conf:
|
122 |
+
warmup_steps: 1000
|
123 |
+
token_list:
|
124 |
+
- <blank>
|
125 |
+
- <unk>
|
126 |
+
- Neutral
|
127 |
+
- Positive
|
128 |
+
- Negative
|
129 |
+
- <sos/eos>
|
130 |
+
transcript_token_list: null
|
131 |
+
two_pass: false
|
132 |
+
pre_postencoder_norm: false
|
133 |
+
init: null
|
134 |
+
input_size: null
|
135 |
+
ctc_conf:
|
136 |
+
dropout_rate: 0.0
|
137 |
+
ctc_type: builtin
|
138 |
+
reduce: true
|
139 |
+
ignore_nan_grad: null
|
140 |
+
zero_infinity: true
|
141 |
+
brctc_risk_strategy: exp
|
142 |
+
brctc_group_strategy: end
|
143 |
+
brctc_risk_factor: 0.0
|
144 |
+
joint_net_conf: null
|
145 |
+
use_preprocessor: true
|
146 |
+
token_type: word
|
147 |
+
bpemodel: null
|
148 |
+
non_linguistic_symbols: null
|
149 |
+
cleaner: null
|
150 |
+
g2p: null
|
151 |
+
speech_volume_normalize: null
|
152 |
+
rir_scp: null
|
153 |
+
rir_apply_prob: 1.0
|
154 |
+
noise_scp: null
|
155 |
+
noise_apply_prob: 1.0
|
156 |
+
noise_db_range: '13_15'
|
157 |
+
short_noise_thres: 0.5
|
158 |
+
frontend: s3prl
|
159 |
+
frontend_conf:
|
160 |
+
frontend_conf:
|
161 |
+
upstream: wavlm_large
|
162 |
+
download_dir: ./hub
|
163 |
+
multilayer_feature: true
|
164 |
+
fs: 16k
|
165 |
+
specaug: specaug
|
166 |
+
specaug_conf:
|
167 |
+
apply_time_warp: true
|
168 |
+
time_warp_window: 5
|
169 |
+
time_warp_mode: bicubic
|
170 |
+
apply_freq_mask: true
|
171 |
+
freq_mask_width_range:
|
172 |
+
- 0
|
173 |
+
- 30
|
174 |
+
num_freq_mask: 2
|
175 |
+
apply_time_mask: true
|
176 |
+
time_mask_width_range:
|
177 |
+
- 0
|
178 |
+
- 40
|
179 |
+
num_time_mask: 2
|
180 |
+
normalize: utterance_mvn
|
181 |
+
normalize_conf: {}
|
182 |
+
model: espnet
|
183 |
+
model_conf:
|
184 |
+
ctc_weight: 0.0
|
185 |
+
lsm_weight: 0.0
|
186 |
+
length_normalized_loss: false
|
187 |
+
superb_setup: true
|
188 |
+
num_class: 3
|
189 |
+
ssl_input_size: 1024
|
190 |
+
extract_feats_in_collect_stats: false
|
191 |
+
preencoder: null
|
192 |
+
preencoder_conf: {}
|
193 |
+
encoder: rnn
|
194 |
+
encoder_conf: {}
|
195 |
+
postencoder: null
|
196 |
+
postencoder_conf: {}
|
197 |
+
deliberationencoder: null
|
198 |
+
deliberationencoder_conf: {}
|
199 |
+
decoder: rnn
|
200 |
+
decoder_conf: {}
|
201 |
+
postdecoder: null
|
202 |
+
postdecoder_conf: {}
|
203 |
+
required:
|
204 |
+
- output_dir
|
205 |
+
- token_list
|
206 |
+
version: '202310'
|
207 |
+
distributed: true
|
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/acc.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/backward_time.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/cer.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/clip.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/forward_time.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/gpu_max_cached_mem_GB.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/grad_norm.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/iter_time.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/loss.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/loss_att.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/loss_scale.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/optim0_lr0.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/optim_step_time.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/train_time.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/images/wer.png
ADDED
exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/valid.loss.ave_10best.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:320cbb998d96bf023a9d3b04b4cd844a8ce5dc4cf3d9fb3dfed478a16d12a0f4
|
3 |
+
size 1266238662
|
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: '202310'
|
2 |
+
files:
|
3 |
+
slu_model_file: exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/valid.loss.ave_10best.pth
|
4 |
+
python: "3.9.13 (main, Aug 25 2022, 23:26:10) \n[GCC 11.2.0]"
|
5 |
+
timestamp: 1715349140.023715
|
6 |
+
torch: 2.1.0+cu121
|
7 |
+
yaml_files:
|
8 |
+
slu_train_config: exp/slu_train_asr_wavlm_large_0.01_raw_en_word_sp/config.yaml
|