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Update model

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  1. README.md +284 -0
  2. meta.yaml +8 -0
  3. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/40epoch.pth +3 -0
  4. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/RESULTS.md +17 -0
  5. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/config.yaml +193 -0
  6. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/backward_time.png +0 -0
  7. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/clip.png +0 -0
  8. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/eer.png +0 -0
  9. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/forward_time.png +0 -0
  10. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/gpu_max_cached_mem_GB.png +0 -0
  11. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/grad_norm.png +0 -0
  12. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/iter_time.png +0 -0
  13. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/loss.png +0 -0
  14. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/loss_scale.png +0 -0
  15. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/mindcf.png +0 -0
  16. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/n_trials.png +0 -0
  17. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/nontrg_mean.png +0 -0
  18. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/nontrg_std.png +0 -0
  19. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/optim0_lr0.png +0 -0
  20. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/optim_step_time.png +0 -0
  21. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/train_time.png +0 -0
  22. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/trg_mean.png +0 -0
  23. save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/trg_std.png +0 -0
README.md ADDED
@@ -0,0 +1,284 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - espnet
4
+ - audio
5
+ - speaker-recognition
6
+ language: multiple
7
+ datasets:
8
+ - voxceleb
9
+ license: cc-by-4.0
10
+ ---
11
+
12
+ ## ESPnet2 SPK model
13
+
14
+ ### `espnet/voxcelebs12_rawnet3`
15
+
16
+ This model was trained by Jungjee using 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 0c489a83607efb8e21331a9f01df21aac58c2a88
26
+ pip install -e .
27
+ cd egs2/voxceleb/spk1
28
+ ./run.sh --skip_data_prep false --skip_train true --download_model espnet/voxcelebs12_rawnet3
29
+ ```
30
+
31
+ <!-- Generated by scripts/utils/show_spk_result.py -->
32
+ # RESULTS
33
+ ## Environments
34
+ date: 2023-11-21 12:43:27.293418
35
+
36
+ - python version: \`3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]\`
37
+ - espnet version: \`espnet 202310\`
38
+ - pytorch version: \`pytorch 2.0.1\`
39
+
40
+ | | Mean | Std |
41
+ |---|---|---|
42
+ | Target | -0.8015 | 0.1383 |
43
+ | Non-target | 0.0836 | 0.0836 |
44
+
45
+ | | EER(\%) | minDCF |
46
+ |---|---|---|
47
+ | | 0.739 | 0.05818 |
48
+
49
+ ## SPK config
50
+
51
+ <details><summary>expand</summary>
52
+
53
+ ```
54
+ config: conf/tuning/train_rawnet3_best_trnVox12_emb192_amp_subcentertopk.yaml
55
+ print_config: false
56
+ log_level: INFO
57
+ drop_last_iter: true
58
+ dry_run: false
59
+ iterator_type: category
60
+ valid_iterator_type: sequence
61
+ output_dir: exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp
62
+ ngpu: 1
63
+ seed: 0
64
+ num_workers: 6
65
+ num_att_plot: 0
66
+ dist_backend: nccl
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: 56599
73
+ dist_launcher: null
74
+ multiprocessing_distributed: true
75
+ unused_parameters: false
76
+ sharded_ddp: false
77
+ cudnn_enabled: true
78
+ cudnn_benchmark: true
79
+ cudnn_deterministic: false
80
+ collect_stats: false
81
+ write_collected_feats: false
82
+ max_epoch: 40
83
+ patience: null
84
+ val_scheduler_criterion:
85
+ - valid
86
+ - loss
87
+ early_stopping_criterion:
88
+ - valid
89
+ - loss
90
+ - min
91
+ best_model_criterion:
92
+ - - valid
93
+ - eer
94
+ - min
95
+ keep_nbest_models: 3
96
+ nbest_averaging_interval: 0
97
+ grad_clip: 9999
98
+ grad_clip_type: 2.0
99
+ grad_noise: false
100
+ accum_grad: 1
101
+ no_forward_run: false
102
+ resume: true
103
+ train_dtype: float32
104
+ use_amp: true
105
+ log_interval: 100
106
+ use_matplotlib: true
107
+ use_tensorboard: true
108
+ create_graph_in_tensorboard: false
109
+ use_wandb: false
110
+ wandb_project: null
111
+ wandb_id: null
112
+ wandb_entity: null
113
+ wandb_name: null
114
+ wandb_model_log_interval: -1
115
+ detect_anomaly: false
116
+ pretrain_path: null
117
+ init_param: []
118
+ ignore_init_mismatch: false
119
+ freeze_param: []
120
+ num_iters_per_epoch: null
121
+ batch_size: 512
122
+ valid_batch_size: 40
123
+ batch_bins: 1000000
124
+ valid_batch_bins: null
125
+ train_shape_file:
126
+ - exp/spk_stats_16k_sp/train/speech_shape
127
+ valid_shape_file:
128
+ - exp/spk_stats_16k_sp/valid/speech_shape
129
+ batch_type: folded
130
+ valid_batch_type: null
131
+ fold_length:
132
+ - 120000
133
+ sort_in_batch: descending
134
+ shuffle_within_batch: false
135
+ sort_batch: descending
136
+ multiple_iterator: false
137
+ chunk_length: 500
138
+ chunk_shift_ratio: 0.5
139
+ num_cache_chunks: 1024
140
+ chunk_excluded_key_prefixes: []
141
+ train_data_path_and_name_and_type:
142
+ - - dump/raw/voxceleb12_devs_sp/wav.scp
143
+ - speech
144
+ - sound
145
+ - - dump/raw/voxceleb12_devs_sp/utt2spk
146
+ - spk_labels
147
+ - text
148
+ valid_data_path_and_name_and_type:
149
+ - - dump/raw/voxceleb1_test/trial.scp
150
+ - speech
151
+ - sound
152
+ - - dump/raw/voxceleb1_test/trial2.scp
153
+ - speech2
154
+ - sound
155
+ - - dump/raw/voxceleb1_test/trial_label
156
+ - spk_labels
157
+ - text
158
+ allow_variable_data_keys: false
159
+ max_cache_size: 0.0
160
+ max_cache_fd: 32
161
+ valid_max_cache_size: null
162
+ exclude_weight_decay: false
163
+ exclude_weight_decay_conf: {}
164
+ optim: adam
165
+ optim_conf:
166
+ lr: 0.001
167
+ weight_decay: 5.0e-05
168
+ amsgrad: false
169
+ scheduler: cosineannealingwarmuprestarts
170
+ scheduler_conf:
171
+ first_cycle_steps: 71280
172
+ cycle_mult: 1.0
173
+ max_lr: 0.001
174
+ min_lr: 5.0e-06
175
+ warmup_steps: 1000
176
+ gamma: 0.75
177
+ init: null
178
+ use_preprocessor: true
179
+ input_size: null
180
+ target_duration: 3.0
181
+ spk2utt: dump/raw/voxceleb12_devs_sp/spk2utt
182
+ spk_num: 21615
183
+ sample_rate: 16000
184
+ num_eval: 10
185
+ rir_scp: ''
186
+ model_conf:
187
+ extract_feats_in_collect_stats: false
188
+ frontend: asteroid_frontend
189
+ frontend_conf:
190
+ sinc_stride: 16
191
+ sinc_kernel_size: 251
192
+ sinc_filters: 256
193
+ preemph_coef: 0.97
194
+ log_term: 1.0e-06
195
+ specaug: null
196
+ specaug_conf: {}
197
+ normalize: null
198
+ normalize_conf: {}
199
+ encoder: rawnet3
200
+ encoder_conf:
201
+ model_scale: 8
202
+ ndim: 1024
203
+ output_size: 1536
204
+ pooling: chn_attn_stat
205
+ pooling_conf: {}
206
+ projector: rawnet3
207
+ projector_conf:
208
+ output_size: 192
209
+ preprocessor: spk
210
+ preprocessor_conf:
211
+ target_duration: 3.0
212
+ sample_rate: 16000
213
+ num_eval: 5
214
+ noise_apply_prob: 0.5
215
+ noise_info:
216
+ - - 1.0
217
+ - dump/raw/musan_speech.scp
218
+ - - 4
219
+ - 7
220
+ - - 13
221
+ - 20
222
+ - - 1.0
223
+ - dump/raw/musan_noise.scp
224
+ - - 1
225
+ - 1
226
+ - - 0
227
+ - 15
228
+ - - 1.0
229
+ - dump/raw/musan_music.scp
230
+ - - 1
231
+ - 1
232
+ - - 5
233
+ - 15
234
+ rir_apply_prob: 0.5
235
+ rir_scp: dump/raw/rirs.scp
236
+ loss: aamsoftmax_sc_topk
237
+ loss_conf:
238
+ margin: 0.3
239
+ scale: 30
240
+ K: 3
241
+ mp: 0.06
242
+ k_top: 5
243
+ required:
244
+ - output_dir
245
+ version: '202308'
246
+ distributed: true
247
+ ```
248
+
249
+ </details>
250
+
251
+
252
+
253
+ ### Citing ESPnet
254
+
255
+ ```BibTex
256
+ @inproceedings{watanabe2018espnet,
257
+ 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},
258
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
259
+ year={2018},
260
+ booktitle={Proceedings of Interspeech},
261
+ pages={2207--2211},
262
+ doi={10.21437/Interspeech.2018-1456},
263
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
264
+ }
265
+
266
+
267
+
268
+
269
+
270
+
271
+ ```
272
+
273
+ or arXiv:
274
+
275
+ ```bibtex
276
+ @misc{watanabe2018espnet,
277
+ title={ESPnet: End-to-End Speech Processing Toolkit},
278
+ 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},
279
+ year={2018},
280
+ eprint={1804.00015},
281
+ archivePrefix={arXiv},
282
+ primaryClass={cs.CL}
283
+ }
284
+ ```
meta.yaml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ espnet: '202310'
2
+ files:
3
+ model_file: save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/40epoch.pth
4
+ python: "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]"
5
+ timestamp: 1700589293.596893
6
+ torch: 2.0.1
7
+ yaml_files:
8
+ train_config: save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/config.yaml
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/40epoch.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:d5a0511ab1f073f1a8c9e2e2b82776433d4ec37b0a7f2b84a105dcb00a9a508a
3
+ size 114303167
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/RESULTS.md ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!-- Generated by scripts/utils/show_spk_result.py -->
2
+ # RESULTS
3
+ ## Environments
4
+ date: 2023-11-21 12:43:27.293418
5
+
6
+ - python version: \`3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]\`
7
+ - espnet version: \`espnet 202310\`
8
+ - pytorch version: \`pytorch 2.0.1\`
9
+
10
+ | | Mean | Std |
11
+ |---|---|---|
12
+ | Target | -0.8015 | 0.1383 |
13
+ | Non-target | 0.0836 | 0.0836 |
14
+
15
+ | | EER(\%) | minDCF |
16
+ |---|---|---|
17
+ | | 0.739 | 0.05818 |
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/config.yaml ADDED
@@ -0,0 +1,193 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ config: conf/tuning/train_rawnet3_best_trnVox12_emb192_amp_subcentertopk.yaml
2
+ print_config: false
3
+ log_level: INFO
4
+ drop_last_iter: true
5
+ dry_run: false
6
+ iterator_type: category
7
+ valid_iterator_type: sequence
8
+ output_dir: exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp
9
+ ngpu: 1
10
+ seed: 0
11
+ num_workers: 6
12
+ num_att_plot: 0
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: 56599
20
+ dist_launcher: null
21
+ multiprocessing_distributed: true
22
+ unused_parameters: false
23
+ sharded_ddp: false
24
+ cudnn_enabled: true
25
+ cudnn_benchmark: true
26
+ cudnn_deterministic: false
27
+ collect_stats: false
28
+ write_collected_feats: false
29
+ max_epoch: 40
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
+ - eer
41
+ - min
42
+ keep_nbest_models: 3
43
+ nbest_averaging_interval: 0
44
+ grad_clip: 9999
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: true
52
+ log_interval: 100
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
+ pretrain_path: null
64
+ init_param: []
65
+ ignore_init_mismatch: false
66
+ freeze_param: []
67
+ num_iters_per_epoch: null
68
+ batch_size: 512
69
+ valid_batch_size: 40
70
+ batch_bins: 1000000
71
+ valid_batch_bins: null
72
+ train_shape_file:
73
+ - exp/spk_stats_16k_sp/train/speech_shape
74
+ valid_shape_file:
75
+ - exp/spk_stats_16k_sp/valid/speech_shape
76
+ batch_type: folded
77
+ valid_batch_type: null
78
+ fold_length:
79
+ - 120000
80
+ sort_in_batch: descending
81
+ shuffle_within_batch: false
82
+ sort_batch: descending
83
+ multiple_iterator: false
84
+ chunk_length: 500
85
+ chunk_shift_ratio: 0.5
86
+ num_cache_chunks: 1024
87
+ chunk_excluded_key_prefixes: []
88
+ train_data_path_and_name_and_type:
89
+ - - dump/raw/voxceleb12_devs_sp/wav.scp
90
+ - speech
91
+ - sound
92
+ - - dump/raw/voxceleb12_devs_sp/utt2spk
93
+ - spk_labels
94
+ - text
95
+ valid_data_path_and_name_and_type:
96
+ - - dump/raw/voxceleb1_test/trial.scp
97
+ - speech
98
+ - sound
99
+ - - dump/raw/voxceleb1_test/trial2.scp
100
+ - speech2
101
+ - sound
102
+ - - dump/raw/voxceleb1_test/trial_label
103
+ - spk_labels
104
+ - text
105
+ allow_variable_data_keys: false
106
+ max_cache_size: 0.0
107
+ max_cache_fd: 32
108
+ valid_max_cache_size: null
109
+ exclude_weight_decay: false
110
+ exclude_weight_decay_conf: {}
111
+ optim: adam
112
+ optim_conf:
113
+ lr: 0.001
114
+ weight_decay: 5.0e-05
115
+ amsgrad: false
116
+ scheduler: cosineannealingwarmuprestarts
117
+ scheduler_conf:
118
+ first_cycle_steps: 71280
119
+ cycle_mult: 1.0
120
+ max_lr: 0.001
121
+ min_lr: 5.0e-06
122
+ warmup_steps: 1000
123
+ gamma: 0.75
124
+ init: null
125
+ use_preprocessor: true
126
+ input_size: null
127
+ target_duration: 3.0
128
+ spk2utt: dump/raw/voxceleb12_devs_sp/spk2utt
129
+ spk_num: 21615
130
+ sample_rate: 16000
131
+ num_eval: 10
132
+ rir_scp: ''
133
+ model_conf:
134
+ extract_feats_in_collect_stats: false
135
+ frontend: asteroid_frontend
136
+ frontend_conf:
137
+ sinc_stride: 16
138
+ sinc_kernel_size: 251
139
+ sinc_filters: 256
140
+ preemph_coef: 0.97
141
+ log_term: 1.0e-06
142
+ specaug: null
143
+ specaug_conf: {}
144
+ normalize: null
145
+ normalize_conf: {}
146
+ encoder: rawnet3
147
+ encoder_conf:
148
+ model_scale: 8
149
+ ndim: 1024
150
+ output_size: 1536
151
+ pooling: chn_attn_stat
152
+ pooling_conf: {}
153
+ projector: rawnet3
154
+ projector_conf:
155
+ output_size: 192
156
+ preprocessor: spk
157
+ preprocessor_conf:
158
+ target_duration: 3.0
159
+ sample_rate: 16000
160
+ num_eval: 5
161
+ noise_apply_prob: 0.5
162
+ noise_info:
163
+ - - 1.0
164
+ - dump/raw/musan_speech.scp
165
+ - - 4
166
+ - 7
167
+ - - 13
168
+ - 20
169
+ - - 1.0
170
+ - dump/raw/musan_noise.scp
171
+ - - 1
172
+ - 1
173
+ - - 0
174
+ - 15
175
+ - - 1.0
176
+ - dump/raw/musan_music.scp
177
+ - - 1
178
+ - 1
179
+ - - 5
180
+ - 15
181
+ rir_apply_prob: 0.5
182
+ rir_scp: dump/raw/rirs.scp
183
+ loss: aamsoftmax_sc_topk
184
+ loss_conf:
185
+ margin: 0.3
186
+ scale: 30
187
+ K: 3
188
+ mp: 0.06
189
+ k_top: 5
190
+ required:
191
+ - output_dir
192
+ version: '202308'
193
+ distributed: true
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/backward_time.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/clip.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/eer.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/forward_time.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/gpu_max_cached_mem_GB.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/grad_norm.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/iter_time.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/loss.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/loss_scale.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/mindcf.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/n_trials.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/nontrg_mean.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/nontrg_std.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/optim0_lr0.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/optim_step_time.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/train_time.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/trg_mean.png ADDED
save_exp/spk_train_rawnet3_best_trnVox12_emb192_amp_subcentertopk_raw_sp/images/trg_std.png ADDED