holvan
commited on
Commit
·
6fba24a
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Parent(s):
5b26876
update model
Browse files- README.md +297 -0
- exp/spk_train_resnet34_raw_sp/30epoch.pth +3 -0
- exp/spk_train_resnet34_raw_sp/RESULTS.md +17 -0
- exp/spk_train_resnet34_raw_sp/config.yaml +206 -0
- exp/spk_train_resnet34_raw_sp/images/backward_time.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/clip.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/eer.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/forward_time.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/grad_norm.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/iter_time.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/loss.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/loss_scale.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/mindcf.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/n_trials.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/nontrg_mean.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/nontrg_std.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/optim0_lr0.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/optim_step_time.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/train_time.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/trg_mean.png +0 -0
- exp/spk_train_resnet34_raw_sp/images/trg_std.png +0 -0
- meta.yaml +8 -0
README.md
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1 |
+
---
|
2 |
+
tags:
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+
- espnet
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+
- audio
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+
- speaker-recognition
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language: multilingual
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7 |
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datasets:
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- cnceleb
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license: cc-by-4.0
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+
---
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+
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+
## ESPnet2 SPK model
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13 |
+
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+
### `resnet34`
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15 |
+
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+
This model was trained by holvan using cnceleb recipe in [espnet](https://github.com/espnet/espnet/).
|
17 |
+
|
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+
### 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 d3db63621b5ea1d7b450d768f97c1a6bdf3cf8be
|
26 |
+
pip install -e .
|
27 |
+
cd egs2/cnceleb/spk1
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28 |
+
./run.sh --skip_data_prep false --skip_train true --download_model resnet34
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29 |
+
```
|
30 |
+
|
31 |
+
<!-- Generated by scripts/utils/show_spk_result.py -->
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+
# RESULTS
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33 |
+
## Environments
|
34 |
+
date: 2025-06-17 13:11:43.386422
|
35 |
+
|
36 |
+
- python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
|
37 |
+
- espnet version: 202402
|
38 |
+
- pytorch version: 2.3.1
|
39 |
+
|
40 |
+
| | Mean | Std |
|
41 |
+
|---|---|---|
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42 |
+
| Target | -1.0307 | 0.1501 |
|
43 |
+
| Non-target | -1.3465 | 0.0693 |
|
44 |
+
|
45 |
+
| Model name | EER(%) | minDCF |
|
46 |
+
|---|---|---|
|
47 |
+
| conf/train_resnet34 | 7.119 | 0.34991 |
|
48 |
+
|
49 |
+
## SPK config
|
50 |
+
|
51 |
+
<details><summary>expand</summary>
|
52 |
+
|
53 |
+
```
|
54 |
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config: conf/train_resnet34.yaml
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55 |
+
print_config: false
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56 |
+
log_level: INFO
|
57 |
+
drop_last_iter: true
|
58 |
+
dry_run: false
|
59 |
+
iterator_type: category
|
60 |
+
valid_iterator_type: sequence
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61 |
+
output_dir: exp/spk_train_resnet34_raw_sp
|
62 |
+
ngpu: 1
|
63 |
+
seed: 0
|
64 |
+
num_workers: 8
|
65 |
+
num_att_plot: 0
|
66 |
+
dist_backend: nccl
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67 |
+
dist_init_method: env://
|
68 |
+
dist_world_size: 4
|
69 |
+
dist_rank: 0
|
70 |
+
local_rank: 0
|
71 |
+
dist_master_addr: localhost
|
72 |
+
dist_master_port: 33749
|
73 |
+
dist_launcher: null
|
74 |
+
multiprocessing_distributed: true
|
75 |
+
unused_parameters: false
|
76 |
+
sharded_ddp: false
|
77 |
+
use_deepspeed: false
|
78 |
+
deepspeed_config: null
|
79 |
+
gradient_as_bucket_view: true
|
80 |
+
ddp_comm_hook: null
|
81 |
+
cudnn_enabled: true
|
82 |
+
cudnn_benchmark: true
|
83 |
+
cudnn_deterministic: false
|
84 |
+
use_tf32: false
|
85 |
+
collect_stats: false
|
86 |
+
write_collected_feats: false
|
87 |
+
max_epoch: 40
|
88 |
+
patience: null
|
89 |
+
val_scheduler_criterion:
|
90 |
+
- valid
|
91 |
+
- loss
|
92 |
+
early_stopping_criterion:
|
93 |
+
- valid
|
94 |
+
- loss
|
95 |
+
- min
|
96 |
+
best_model_criterion:
|
97 |
+
- - valid
|
98 |
+
- eer
|
99 |
+
- min
|
100 |
+
keep_nbest_models: 3
|
101 |
+
nbest_averaging_interval: 0
|
102 |
+
grad_clip: 9999
|
103 |
+
grad_clip_type: 2.0
|
104 |
+
grad_noise: false
|
105 |
+
accum_grad: 1
|
106 |
+
no_forward_run: false
|
107 |
+
resume: true
|
108 |
+
train_dtype: float32
|
109 |
+
use_amp: true
|
110 |
+
log_interval: 100
|
111 |
+
use_matplotlib: true
|
112 |
+
use_tensorboard: true
|
113 |
+
create_graph_in_tensorboard: false
|
114 |
+
use_wandb: false
|
115 |
+
wandb_project: null
|
116 |
+
wandb_id: null
|
117 |
+
wandb_entity: null
|
118 |
+
wandb_name: null
|
119 |
+
wandb_model_log_interval: -1
|
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+
detect_anomaly: false
|
121 |
+
use_adapter: false
|
122 |
+
adapter: lora
|
123 |
+
save_strategy: all
|
124 |
+
adapter_conf: {}
|
125 |
+
pretrain_path: null
|
126 |
+
init_param: []
|
127 |
+
ignore_init_mismatch: false
|
128 |
+
freeze_param: []
|
129 |
+
num_iters_per_epoch: null
|
130 |
+
batch_size: 512
|
131 |
+
valid_batch_size: 40
|
132 |
+
batch_bins: 1000000
|
133 |
+
valid_batch_bins: null
|
134 |
+
category_sample_size: 10
|
135 |
+
train_shape_file:
|
136 |
+
- exp/spk_stats_16k_sp/train/speech_shape
|
137 |
+
valid_shape_file:
|
138 |
+
- exp/spk_stats_16k_sp/valid/speech_shape
|
139 |
+
batch_type: folded
|
140 |
+
valid_batch_type: null
|
141 |
+
fold_length:
|
142 |
+
- 120000
|
143 |
+
sort_in_batch: descending
|
144 |
+
shuffle_within_batch: false
|
145 |
+
sort_batch: descending
|
146 |
+
multiple_iterator: false
|
147 |
+
chunk_length: 500
|
148 |
+
chunk_shift_ratio: 0.5
|
149 |
+
num_cache_chunks: 1024
|
150 |
+
chunk_excluded_key_prefixes: []
|
151 |
+
chunk_default_fs: null
|
152 |
+
chunk_max_abs_length: null
|
153 |
+
chunk_discard_short_samples: true
|
154 |
+
train_data_path_and_name_and_type:
|
155 |
+
- - dump/raw/cnceleb_train_sp/wav.scp
|
156 |
+
- speech
|
157 |
+
- sound
|
158 |
+
- - dump/raw/cnceleb_train_sp/utt2spk
|
159 |
+
- spk_labels
|
160 |
+
- text
|
161 |
+
valid_data_path_and_name_and_type:
|
162 |
+
- - dump/raw/cnceleb1_valid/trial.scp
|
163 |
+
- speech
|
164 |
+
- sound
|
165 |
+
- - dump/raw/cnceleb1_valid/trial2.scp
|
166 |
+
- speech2
|
167 |
+
- sound
|
168 |
+
- - dump/raw/cnceleb1_valid/trial_label
|
169 |
+
- spk_labels
|
170 |
+
- text
|
171 |
+
multi_task_dataset: false
|
172 |
+
allow_variable_data_keys: false
|
173 |
+
max_cache_size: 0.0
|
174 |
+
max_cache_fd: 32
|
175 |
+
allow_multi_rates: false
|
176 |
+
valid_max_cache_size: null
|
177 |
+
exclude_weight_decay: false
|
178 |
+
exclude_weight_decay_conf: {}
|
179 |
+
optim: sgd
|
180 |
+
optim_conf:
|
181 |
+
lr: 0.1
|
182 |
+
momentum: 0.9
|
183 |
+
weight_decay: 0.0001
|
184 |
+
scheduler: exponentialdecaywarmup
|
185 |
+
scheduler_conf:
|
186 |
+
max_lr: 0.1
|
187 |
+
min_lr: 5.0e-05
|
188 |
+
total_steps: 140720
|
189 |
+
warmup_steps: 17590
|
190 |
+
init: null
|
191 |
+
use_preprocessor: true
|
192 |
+
input_size: null
|
193 |
+
target_duration: 3.0
|
194 |
+
spk2utt: dump/raw/cnceleb_train_sp/spk2utt
|
195 |
+
spk_num: 8379
|
196 |
+
sample_rate: 16000
|
197 |
+
num_eval: 10
|
198 |
+
rir_scp: ''
|
199 |
+
model_conf:
|
200 |
+
extract_feats_in_collect_stats: false
|
201 |
+
frontend: melspec_torch
|
202 |
+
frontend_conf:
|
203 |
+
preemp: true
|
204 |
+
n_fft: 512
|
205 |
+
log: true
|
206 |
+
win_length: 400
|
207 |
+
hop_length: 160
|
208 |
+
n_mels: 80
|
209 |
+
normalize: mn
|
210 |
+
specaug: null
|
211 |
+
specaug_conf: {}
|
212 |
+
normalize: null
|
213 |
+
normalize_conf: {}
|
214 |
+
encoder: resnet
|
215 |
+
encoder_conf:
|
216 |
+
resnet_type: resnet34
|
217 |
+
pooling: stats
|
218 |
+
pooling_conf: {}
|
219 |
+
projector: rawnet3
|
220 |
+
projector_conf:
|
221 |
+
output_size: 256
|
222 |
+
preprocessor: spk
|
223 |
+
preprocessor_conf:
|
224 |
+
target_duration: 3.0
|
225 |
+
sample_rate: 16000
|
226 |
+
num_eval: 5
|
227 |
+
noise_apply_prob: 0.5
|
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+
noise_info:
|
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+
- - 1.0
|
230 |
+
- dump/raw/musan_speech.scp
|
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+
- - 4
|
232 |
+
- 7
|
233 |
+
- - 13
|
234 |
+
- 20
|
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+
- - 1.0
|
236 |
+
- dump/raw/musan_noise.scp
|
237 |
+
- - 1
|
238 |
+
- 1
|
239 |
+
- - 0
|
240 |
+
- 15
|
241 |
+
- - 1.0
|
242 |
+
- dump/raw/musan_music.scp
|
243 |
+
- - 1
|
244 |
+
- 1
|
245 |
+
- - 5
|
246 |
+
- 15
|
247 |
+
rir_apply_prob: 0.5
|
248 |
+
rir_scp: dump/raw/rirs.scp
|
249 |
+
loss: aamsoftmax_sc_topk
|
250 |
+
loss_conf:
|
251 |
+
margin: 0.3
|
252 |
+
scale: 30
|
253 |
+
K: 3
|
254 |
+
mp: 0.06
|
255 |
+
k_top: 5
|
256 |
+
required:
|
257 |
+
- output_dir
|
258 |
+
version: '202402'
|
259 |
+
distributed: true
|
260 |
+
```
|
261 |
+
|
262 |
+
</details>
|
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+
|
264 |
+
|
265 |
+
|
266 |
+
### Citing ESPnet
|
267 |
+
|
268 |
+
```BibTex
|
269 |
+
@inproceedings{watanabe2018espnet,
|
270 |
+
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},
|
271 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
272 |
+
year={2018},
|
273 |
+
booktitle={Proceedings of Interspeech},
|
274 |
+
pages={2207--2211},
|
275 |
+
doi={10.21437/Interspeech.2018-1456},
|
276 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
277 |
+
}
|
278 |
+
|
279 |
+
|
280 |
+
|
281 |
+
|
282 |
+
|
283 |
+
|
284 |
+
```
|
285 |
+
|
286 |
+
or arXiv:
|
287 |
+
|
288 |
+
```bibtex
|
289 |
+
@misc{watanabe2018espnet,
|
290 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
291 |
+
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},
|
292 |
+
year={2018},
|
293 |
+
eprint={1804.00015},
|
294 |
+
archivePrefix={arXiv},
|
295 |
+
primaryClass={cs.CL}
|
296 |
+
}
|
297 |
+
```
|
exp/spk_train_resnet34_raw_sp/30epoch.pth
ADDED
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|
|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:c19248fca2ac38fdd4b26d3662edec4337c9b4e7b472a5dbe69a0cf152c07451
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exp/spk_train_resnet34_raw_sp/RESULTS.md
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date: 2025-06-17 13:11:43.386422
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- python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
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- espnet version: 202402
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- pytorch version: 2.3.1
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| | Mean | Std |
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|---|---|---|
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| Target | -1.0307 | 0.1501 |
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| Non-target | -1.3465 | 0.0693 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/train_resnet34 | 7.119 | 0.34991 |
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exp/spk_train_resnet34_raw_sp/config.yaml
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config: conf/train_resnet34.yaml
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2 |
+
print_config: false
|
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+
log_level: INFO
|
4 |
+
drop_last_iter: true
|
5 |
+
dry_run: false
|
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+
iterator_type: category
|
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+
valid_iterator_type: sequence
|
8 |
+
output_dir: exp/spk_train_resnet34_raw_sp
|
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+
ngpu: 1
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+
seed: 0
|
11 |
+
num_workers: 8
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+
num_att_plot: 0
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+
dist_backend: nccl
|
14 |
+
dist_init_method: env://
|
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+
dist_world_size: 4
|
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+
dist_rank: 0
|
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+
local_rank: 0
|
18 |
+
dist_master_addr: localhost
|
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+
dist_master_port: 33749
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+
dist_launcher: null
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+
multiprocessing_distributed: true
|
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+
unused_parameters: false
|
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+
sharded_ddp: false
|
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+
use_deepspeed: false
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+
deepspeed_config: null
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+
gradient_as_bucket_view: true
|
27 |
+
ddp_comm_hook: null
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+
cudnn_enabled: true
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+
cudnn_benchmark: true
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30 |
+
cudnn_deterministic: false
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31 |
+
use_tf32: false
|
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+
collect_stats: false
|
33 |
+
write_collected_feats: false
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+
max_epoch: 40
|
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+
patience: null
|
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+
val_scheduler_criterion:
|
37 |
+
- valid
|
38 |
+
- loss
|
39 |
+
early_stopping_criterion:
|
40 |
+
- valid
|
41 |
+
- loss
|
42 |
+
- min
|
43 |
+
best_model_criterion:
|
44 |
+
- - valid
|
45 |
+
- eer
|
46 |
+
- min
|
47 |
+
keep_nbest_models: 3
|
48 |
+
nbest_averaging_interval: 0
|
49 |
+
grad_clip: 9999
|
50 |
+
grad_clip_type: 2.0
|
51 |
+
grad_noise: false
|
52 |
+
accum_grad: 1
|
53 |
+
no_forward_run: false
|
54 |
+
resume: true
|
55 |
+
train_dtype: float32
|
56 |
+
use_amp: true
|
57 |
+
log_interval: 100
|
58 |
+
use_matplotlib: true
|
59 |
+
use_tensorboard: true
|
60 |
+
create_graph_in_tensorboard: false
|
61 |
+
use_wandb: false
|
62 |
+
wandb_project: null
|
63 |
+
wandb_id: null
|
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+
wandb_entity: null
|
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+
wandb_name: null
|
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+
wandb_model_log_interval: -1
|
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+
detect_anomaly: false
|
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use_adapter: false
|
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adapter: lora
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save_strategy: all
|
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adapter_conf: {}
|
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pretrain_path: null
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init_param: []
|
74 |
+
ignore_init_mismatch: false
|
75 |
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freeze_param: []
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num_iters_per_epoch: null
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batch_size: 512
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+
valid_batch_size: 40
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+
batch_bins: 1000000
|
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+
valid_batch_bins: null
|
81 |
+
category_sample_size: 10
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+
train_shape_file:
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- exp/spk_stats_16k_sp/train/speech_shape
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84 |
+
valid_shape_file:
|
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+
- exp/spk_stats_16k_sp/valid/speech_shape
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86 |
+
batch_type: folded
|
87 |
+
valid_batch_type: null
|
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+
fold_length:
|
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+
- 120000
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+
sort_in_batch: descending
|
91 |
+
shuffle_within_batch: false
|
92 |
+
sort_batch: descending
|
93 |
+
multiple_iterator: false
|
94 |
+
chunk_length: 500
|
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+
chunk_shift_ratio: 0.5
|
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+
num_cache_chunks: 1024
|
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+
chunk_excluded_key_prefixes: []
|
98 |
+
chunk_default_fs: null
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+
chunk_max_abs_length: null
|
100 |
+
chunk_discard_short_samples: true
|
101 |
+
train_data_path_and_name_and_type:
|
102 |
+
- - dump/raw/cnceleb_train_sp/wav.scp
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103 |
+
- speech
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104 |
+
- sound
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105 |
+
- - dump/raw/cnceleb_train_sp/utt2spk
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106 |
+
- spk_labels
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107 |
+
- text
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108 |
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valid_data_path_and_name_and_type:
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109 |
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- - dump/raw/cnceleb1_valid/trial.scp
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110 |
+
- speech
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111 |
+
- sound
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112 |
+
- - dump/raw/cnceleb1_valid/trial2.scp
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113 |
+
- speech2
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114 |
+
- sound
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115 |
+
- - dump/raw/cnceleb1_valid/trial_label
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116 |
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- spk_labels
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117 |
+
- text
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118 |
+
multi_task_dataset: false
|
119 |
+
allow_variable_data_keys: false
|
120 |
+
max_cache_size: 0.0
|
121 |
+
max_cache_fd: 32
|
122 |
+
allow_multi_rates: false
|
123 |
+
valid_max_cache_size: null
|
124 |
+
exclude_weight_decay: false
|
125 |
+
exclude_weight_decay_conf: {}
|
126 |
+
optim: sgd
|
127 |
+
optim_conf:
|
128 |
+
lr: 0.1
|
129 |
+
momentum: 0.9
|
130 |
+
weight_decay: 0.0001
|
131 |
+
scheduler: exponentialdecaywarmup
|
132 |
+
scheduler_conf:
|
133 |
+
max_lr: 0.1
|
134 |
+
min_lr: 5.0e-05
|
135 |
+
total_steps: 140720
|
136 |
+
warmup_steps: 17590
|
137 |
+
init: null
|
138 |
+
use_preprocessor: true
|
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+
input_size: null
|
140 |
+
target_duration: 3.0
|
141 |
+
spk2utt: dump/raw/cnceleb_train_sp/spk2utt
|
142 |
+
spk_num: 8379
|
143 |
+
sample_rate: 16000
|
144 |
+
num_eval: 10
|
145 |
+
rir_scp: ''
|
146 |
+
model_conf:
|
147 |
+
extract_feats_in_collect_stats: false
|
148 |
+
frontend: melspec_torch
|
149 |
+
frontend_conf:
|
150 |
+
preemp: true
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151 |
+
n_fft: 512
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152 |
+
log: true
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153 |
+
win_length: 400
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154 |
+
hop_length: 160
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155 |
+
n_mels: 80
|
156 |
+
normalize: mn
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157 |
+
specaug: null
|
158 |
+
specaug_conf: {}
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159 |
+
normalize: null
|
160 |
+
normalize_conf: {}
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encoder: resnet
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+
encoder_conf:
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163 |
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resnet_type: resnet34
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164 |
+
pooling: stats
|
165 |
+
pooling_conf: {}
|
166 |
+
projector: rawnet3
|
167 |
+
projector_conf:
|
168 |
+
output_size: 256
|
169 |
+
preprocessor: spk
|
170 |
+
preprocessor_conf:
|
171 |
+
target_duration: 3.0
|
172 |
+
sample_rate: 16000
|
173 |
+
num_eval: 5
|
174 |
+
noise_apply_prob: 0.5
|
175 |
+
noise_info:
|
176 |
+
- - 1.0
|
177 |
+
- dump/raw/musan_speech.scp
|
178 |
+
- - 4
|
179 |
+
- 7
|
180 |
+
- - 13
|
181 |
+
- 20
|
182 |
+
- - 1.0
|
183 |
+
- dump/raw/musan_noise.scp
|
184 |
+
- - 1
|
185 |
+
- 1
|
186 |
+
- - 0
|
187 |
+
- 15
|
188 |
+
- - 1.0
|
189 |
+
- dump/raw/musan_music.scp
|
190 |
+
- - 1
|
191 |
+
- 1
|
192 |
+
- - 5
|
193 |
+
- 15
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194 |
+
rir_apply_prob: 0.5
|
195 |
+
rir_scp: dump/raw/rirs.scp
|
196 |
+
loss: aamsoftmax_sc_topk
|
197 |
+
loss_conf:
|
198 |
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margin: 0.3
|
199 |
+
scale: 30
|
200 |
+
K: 3
|
201 |
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mp: 0.06
|
202 |
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k_top: 5
|
203 |
+
required:
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204 |
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- output_dir
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205 |
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version: '202402'
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distributed: true
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exp/spk_train_resnet34_raw_sp/images/backward_time.png
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exp/spk_train_resnet34_raw_sp/images/clip.png
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exp/spk_train_resnet34_raw_sp/images/eer.png
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exp/spk_train_resnet34_raw_sp/images/forward_time.png
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exp/spk_train_resnet34_raw_sp/images/gpu_max_cached_mem_GB.png
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exp/spk_train_resnet34_raw_sp/images/grad_norm.png
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exp/spk_train_resnet34_raw_sp/images/iter_time.png
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exp/spk_train_resnet34_raw_sp/images/loss.png
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exp/spk_train_resnet34_raw_sp/images/loss_scale.png
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exp/spk_train_resnet34_raw_sp/images/mindcf.png
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exp/spk_train_resnet34_raw_sp/images/n_trials.png
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exp/spk_train_resnet34_raw_sp/images/nontrg_mean.png
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exp/spk_train_resnet34_raw_sp/images/nontrg_std.png
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exp/spk_train_resnet34_raw_sp/images/optim0_lr0.png
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exp/spk_train_resnet34_raw_sp/images/optim_step_time.png
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exp/spk_train_resnet34_raw_sp/images/train_time.png
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exp/spk_train_resnet34_raw_sp/images/trg_mean.png
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exp/spk_train_resnet34_raw_sp/images/trg_std.png
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meta.yaml
ADDED
@@ -0,0 +1,8 @@
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|
|
|
|
1 |
+
espnet: '202402'
|
2 |
+
files:
|
3 |
+
model_file: exp/spk_train_resnet34_raw_sp/30epoch.pth
|
4 |
+
python: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
|
5 |
+
timestamp: 1750139904.197759
|
6 |
+
torch: 2.3.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/spk_train_resnet34_raw_sp/config.yaml
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