ESPnet
English
audio
classification
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README.md ADDED
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1
+ ---
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+ tags:
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+ - espnet
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+ - audio
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+ - classification
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+ language: en
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+ datasets:
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+ - bean
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+ license: cc-by-4.0
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+ ---
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+
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+ ## ESPnet2 CLS model
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+
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+ ### `espnet/BEATs-BEAN.Dogs`
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+
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+ This model was trained by Shikhar Bharadwaj using bean recipe in [espnet](https://github.com/espnet/espnet/).
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+
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+ ### Demo: How to use in ESPnet2
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+
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+ Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
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+ if you haven't done that already.
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+
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+ ```bash
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+ cd espnet
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+ git checkout 9191aa59acc7d3ceaca1f48dcc8fbdad2e03484b
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+ pip install -e .
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+ cd egs2/bean/cls1
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+ ./run.sh --skip_data_prep false --skip_train true --download_model espnet/BEATs-BEAN.Dogs
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+ ```
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+
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+ <!-- Generated by scripts/utils/show_cls_result.sh -->
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+ # RESULTS
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+ ## Environments
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+ - date: `Tue Jan 7 15:06:06 EST 2025`
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+ - python version: `3.9.20 (main, Oct 3 2024, 07:27:41) [GCC 11.2.0]`
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+ - espnet version: `espnet 202412`
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+ - pytorch version: `pytorch 2.4.0`
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+ - Git hash: `9191aa59acc7d3ceaca1f48dcc8fbdad2e03484b`
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+ - Commit date: `Tue Jan 7 04:34:03 2025 -0500`
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+
41
+ ## cls_dogs.20250107.141123
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+ |Dataset|Metric|Value|
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+ |---|---|---|
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+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mean_acc|96.72
45
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mAP|98.22
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+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mean_auc|99.73
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+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|n_labels|10.00
48
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|n_instances|122.00
49
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mean_acc|91.37
50
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mAP|97.46
51
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mean_auc|99.80
52
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|n_labels|10.00
53
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|n_instances|139.00
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+
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+ ## CLS config
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+
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+ <details><summary>expand</summary>
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+
59
+ ```
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+ config: conf/beats_dogs.yaml
61
+ print_config: false
62
+ log_level: INFO
63
+ drop_last_iter: false
64
+ dry_run: false
65
+ iterator_type: sequence
66
+ valid_iterator_type: null
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+ output_dir: /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123
68
+ ngpu: 1
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+ seed: 0
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+ num_workers: 2
71
+ num_att_plot: 0
72
+ dist_backend: nccl
73
+ dist_init_method: env://
74
+ dist_world_size: null
75
+ dist_rank: null
76
+ local_rank: 0
77
+ dist_master_addr: null
78
+ dist_master_port: null
79
+ dist_launcher: null
80
+ multiprocessing_distributed: false
81
+ unused_parameters: true
82
+ sharded_ddp: false
83
+ use_deepspeed: false
84
+ deepspeed_config: null
85
+ cudnn_enabled: true
86
+ cudnn_benchmark: false
87
+ cudnn_deterministic: true
88
+ use_tf32: false
89
+ collect_stats: false
90
+ write_collected_feats: false
91
+ max_epoch: 250
92
+ patience: null
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: 1
105
+ nbest_averaging_interval: 0
106
+ grad_clip: 1
107
+ grad_clip_type: 2.0
108
+ grad_noise: false
109
+ accum_grad: 1
110
+ no_forward_run: false
111
+ resume: true
112
+ train_dtype: float32
113
+ use_amp: false
114
+ log_interval: null
115
+ use_matplotlib: true
116
+ use_tensorboard: true
117
+ create_graph_in_tensorboard: false
118
+ use_wandb: false
119
+ wandb_project: null
120
+ wandb_id: null
121
+ wandb_entity: null
122
+ wandb_name: null
123
+ wandb_model_log_interval: -1
124
+ detect_anomaly: false
125
+ use_adapter: false
126
+ adapter: lora
127
+ save_strategy: all
128
+ adapter_conf: {}
129
+ pretrain_path: null
130
+ init_param: []
131
+ ignore_init_mismatch: false
132
+ freeze_param: []
133
+ num_iters_per_epoch: null
134
+ batch_size: 32
135
+ valid_batch_size: 32
136
+ batch_bins: 1000000
137
+ valid_batch_bins: null
138
+ category_sample_size: 10
139
+ train_shape_file:
140
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/speech_shape
141
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/label_shape
142
+ valid_shape_file:
143
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/speech_shape
144
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/label_shape
145
+ batch_type: folded
146
+ valid_batch_type: null
147
+ fold_length:
148
+ - 160000
149
+ - 5
150
+ sort_in_batch: descending
151
+ shuffle_within_batch: false
152
+ sort_batch: descending
153
+ multiple_iterator: false
154
+ chunk_length: 500
155
+ chunk_shift_ratio: 0.5
156
+ num_cache_chunks: 1024
157
+ chunk_excluded_key_prefixes: []
158
+ chunk_default_fs: null
159
+ chunk_max_abs_length: null
160
+ chunk_discard_short_samples: true
161
+ train_data_path_and_name_and_type:
162
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/wav.scp
163
+ - speech
164
+ - sound
165
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/text
166
+ - label
167
+ - text
168
+ valid_data_path_and_name_and_type:
169
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/wav.scp
170
+ - speech
171
+ - sound
172
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/text
173
+ - label
174
+ - text
175
+ multi_task_dataset: false
176
+ allow_variable_data_keys: false
177
+ max_cache_size: 0.0
178
+ max_cache_fd: 32
179
+ allow_multi_rates: false
180
+ valid_max_cache_size: null
181
+ exclude_weight_decay: false
182
+ exclude_weight_decay_conf: {}
183
+ optim: adamw
184
+ optim_conf:
185
+ lr: 3.0e-05
186
+ weight_decay: 0.01
187
+ betas:
188
+ - 0.9
189
+ - 0.98
190
+ scheduler: cosineannealingwarmuprestarts
191
+ scheduler_conf:
192
+ first_cycle_steps: 95000
193
+ warmup_steps: 8000
194
+ max_lr: 3.0e-05
195
+ min_lr: 5.0e-06
196
+ token_list:
197
+ - Roodie
198
+ - Luke
199
+ - Mac
200
+ - Zoe
201
+ - Siggy
202
+ - Farley
203
+ - Freid
204
+ - Keri
205
+ - Rudy
206
+ - Louie
207
+ - <unk>
208
+ token_type: word
209
+ init: xavier_normal
210
+ input_size: 1
211
+ use_preprocessor: true
212
+ frontend: null
213
+ frontend_conf: {}
214
+ specaug: null
215
+ specaug_conf: {}
216
+ normalize: null
217
+ normalize_conf: {}
218
+ preencoder: null
219
+ preencoder_conf: {}
220
+ encoder: beats
221
+ encoder_conf:
222
+ beats_ckpt_path: /compute/babel-13-33/sbharad2/models/BEATs/BEATs_iter3.pt
223
+ beats_config:
224
+ layer_wise_gradient_decay_ratio: 0.3
225
+ encoder_layerdrop: 0.1
226
+ dropout: 0.0
227
+ use_weighted_representation: false
228
+ specaug_config:
229
+ apply_time_warp: true
230
+ apply_freq_mask: false
231
+ apply_time_mask: true
232
+ time_mask_width_ratio_range:
233
+ - 0
234
+ - 0.06
235
+ num_time_mask: 1
236
+ roll_augment: true
237
+ roll_interval: 1
238
+ decoder: linear
239
+ decoder_conf: {}
240
+ model: espnet
241
+ model_conf:
242
+ classification_type: multi-class
243
+ mixup_augmentation: false
244
+ lsm_weight: 0.1
245
+ required:
246
+ - output_dir
247
+ - token_list
248
+ version: '202412'
249
+ distributed: false
250
+ ```
251
+
252
+ </details>
253
+
254
+
255
+
256
+ ### Citing ESPnet
257
+
258
+ ```BibTex
259
+ @inproceedings{watanabe2018espnet,
260
+ 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},
261
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
262
+ year={2018},
263
+ booktitle={Proceedings of Interspeech},
264
+ pages={2207--2211},
265
+ doi={10.21437/Interspeech.2018-1456},
266
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
267
+ }
268
+
269
+
270
+
271
+
272
+
273
+
274
+ ```
275
+
276
+ or arXiv:
277
+
278
+ ```bibtex
279
+ @misc{watanabe2018espnet,
280
+ title={ESPnet: End-to-End Speech Processing Toolkit},
281
+ 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},
282
+ year={2018},
283
+ eprint={1804.00015},
284
+ archivePrefix={arXiv},
285
+ primaryClass={cs.CL}
286
+ }
287
+ ```
bean.dogs/data/token_list ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Roodie
2
+ Luke
3
+ Mac
4
+ Zoe
5
+ Siggy
6
+ Farley
7
+ Freid
8
+ Keri
9
+ Rudy
10
+ Louie
11
+ <unk>
bean.dogs/exp/cls_dogs.20250107.141123/185epoch.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0c83867609cd65f7b85abf696410d8904b7075f5c497dab1799e52b477d42853
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+ size 361372741
bean.dogs/exp/cls_dogs.20250107.141123/RESULTS.md ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!-- Generated by scripts/utils/show_cls_result.sh -->
2
+ # RESULTS
3
+ ## Environments
4
+ - date: `Tue Jan 7 15:06:06 EST 2025`
5
+ - python version: `3.9.20 (main, Oct 3 2024, 07:27:41) [GCC 11.2.0]`
6
+ - espnet version: `espnet 202412`
7
+ - pytorch version: `pytorch 2.4.0`
8
+ - Git hash: `9191aa59acc7d3ceaca1f48dcc8fbdad2e03484b`
9
+ - Commit date: `Tue Jan 7 04:34:03 2025 -0500`
10
+
11
+ ## cls_dogs.20250107.141123
12
+ |Dataset|Metric|Value|
13
+ |---|---|---|
14
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mean_acc|96.72
15
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mAP|98.22
16
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mean_auc|99.73
17
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|n_labels|10.00
18
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|n_instances|122.00
19
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mean_acc|91.37
20
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mAP|97.46
21
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mean_auc|99.80
22
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|n_labels|10.00
23
+ /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|n_instances|139.00
24
+
bean.dogs/exp/cls_dogs.20250107.141123/config.yaml ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ config: conf/beats_dogs.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: /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123
9
+ ngpu: 1
10
+ seed: 0
11
+ num_workers: 2
12
+ num_att_plot: 0
13
+ dist_backend: nccl
14
+ dist_init_method: env://
15
+ dist_world_size: null
16
+ dist_rank: null
17
+ local_rank: 0
18
+ dist_master_addr: null
19
+ dist_master_port: null
20
+ dist_launcher: null
21
+ multiprocessing_distributed: false
22
+ unused_parameters: true
23
+ sharded_ddp: false
24
+ use_deepspeed: false
25
+ deepspeed_config: null
26
+ cudnn_enabled: true
27
+ cudnn_benchmark: false
28
+ cudnn_deterministic: true
29
+ use_tf32: false
30
+ collect_stats: false
31
+ write_collected_feats: false
32
+ max_epoch: 250
33
+ patience: null
34
+ val_scheduler_criterion:
35
+ - valid
36
+ - loss
37
+ early_stopping_criterion:
38
+ - valid
39
+ - loss
40
+ - min
41
+ best_model_criterion:
42
+ - - valid
43
+ - acc
44
+ - max
45
+ keep_nbest_models: 1
46
+ nbest_averaging_interval: 0
47
+ grad_clip: 1
48
+ grad_clip_type: 2.0
49
+ grad_noise: false
50
+ accum_grad: 1
51
+ no_forward_run: false
52
+ resume: true
53
+ train_dtype: float32
54
+ use_amp: false
55
+ log_interval: null
56
+ use_matplotlib: true
57
+ use_tensorboard: true
58
+ create_graph_in_tensorboard: false
59
+ use_wandb: false
60
+ wandb_project: null
61
+ wandb_id: null
62
+ wandb_entity: null
63
+ wandb_name: null
64
+ wandb_model_log_interval: -1
65
+ detect_anomaly: false
66
+ use_adapter: false
67
+ adapter: lora
68
+ save_strategy: all
69
+ adapter_conf: {}
70
+ pretrain_path: null
71
+ init_param: []
72
+ ignore_init_mismatch: false
73
+ freeze_param: []
74
+ num_iters_per_epoch: null
75
+ batch_size: 32
76
+ valid_batch_size: 32
77
+ batch_bins: 1000000
78
+ valid_batch_bins: null
79
+ category_sample_size: 10
80
+ train_shape_file:
81
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/speech_shape
82
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/label_shape
83
+ valid_shape_file:
84
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/speech_shape
85
+ - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/label_shape
86
+ batch_type: folded
87
+ valid_batch_type: null
88
+ fold_length:
89
+ - 160000
90
+ - 5
91
+ sort_in_batch: descending
92
+ shuffle_within_batch: false
93
+ sort_batch: descending
94
+ multiple_iterator: false
95
+ chunk_length: 500
96
+ chunk_shift_ratio: 0.5
97
+ num_cache_chunks: 1024
98
+ chunk_excluded_key_prefixes: []
99
+ chunk_default_fs: null
100
+ chunk_max_abs_length: null
101
+ chunk_discard_short_samples: true
102
+ train_data_path_and_name_and_type:
103
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/wav.scp
104
+ - speech
105
+ - sound
106
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/text
107
+ - label
108
+ - text
109
+ valid_data_path_and_name_and_type:
110
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/wav.scp
111
+ - speech
112
+ - sound
113
+ - - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/text
114
+ - label
115
+ - text
116
+ multi_task_dataset: false
117
+ allow_variable_data_keys: false
118
+ max_cache_size: 0.0
119
+ max_cache_fd: 32
120
+ allow_multi_rates: false
121
+ valid_max_cache_size: null
122
+ exclude_weight_decay: false
123
+ exclude_weight_decay_conf: {}
124
+ optim: adamw
125
+ optim_conf:
126
+ lr: 3.0e-05
127
+ weight_decay: 0.01
128
+ betas:
129
+ - 0.9
130
+ - 0.98
131
+ scheduler: cosineannealingwarmuprestarts
132
+ scheduler_conf:
133
+ first_cycle_steps: 95000
134
+ warmup_steps: 8000
135
+ max_lr: 3.0e-05
136
+ min_lr: 5.0e-06
137
+ token_list:
138
+ - Roodie
139
+ - Luke
140
+ - Mac
141
+ - Zoe
142
+ - Siggy
143
+ - Farley
144
+ - Freid
145
+ - Keri
146
+ - Rudy
147
+ - Louie
148
+ - <unk>
149
+ token_type: word
150
+ init: xavier_normal
151
+ input_size: 1
152
+ use_preprocessor: true
153
+ frontend: null
154
+ frontend_conf: {}
155
+ specaug: null
156
+ specaug_conf: {}
157
+ normalize: null
158
+ normalize_conf: {}
159
+ preencoder: null
160
+ preencoder_conf: {}
161
+ encoder: beats
162
+ encoder_conf:
163
+ beats_ckpt_path: /compute/babel-13-33/sbharad2/models/BEATs/BEATs_iter3.pt
164
+ beats_config:
165
+ layer_wise_gradient_decay_ratio: 0.3
166
+ encoder_layerdrop: 0.1
167
+ dropout: 0.0
168
+ use_weighted_representation: false
169
+ specaug_config:
170
+ apply_time_warp: true
171
+ apply_freq_mask: false
172
+ apply_time_mask: true
173
+ time_mask_width_ratio_range:
174
+ - 0
175
+ - 0.06
176
+ num_time_mask: 1
177
+ roll_augment: true
178
+ roll_interval: 1
179
+ decoder: linear
180
+ decoder_conf: {}
181
+ model: espnet
182
+ model_conf:
183
+ classification_type: multi-class
184
+ mixup_augmentation: false
185
+ lsm_weight: 0.1
186
+ required:
187
+ - output_dir
188
+ - token_list
189
+ version: '202412'
190
+ distributed: false
bean.dogs/exp/cls_dogs.20250107.141123/images/acc.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/backward_time.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/clip.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/forward_time.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/gpu_max_cached_mem_GB.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/grad_norm.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/iter_time.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/loss.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/loss_scale.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/macro_precision.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/optim0_lr0.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/optim_step_time.png ADDED
bean.dogs/exp/cls_dogs.20250107.141123/images/train_time.png ADDED
meta.yaml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ espnet: '202412'
2
+ files:
3
+ classification_model_file: /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/185epoch.pth
4
+ python: "3.9.20 (main, Oct 3 2024, 07:27:41) \n[GCC 11.2.0]"
5
+ timestamp: 1736336777.365102
6
+ torch: 2.4.0
7
+ yaml_files:
8
+ classification_train_config: /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/config.yaml