shaipeerms commited on
Commit
71aece7
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1 Parent(s): bb97bae

Add models to dataset

Browse files
css-models/notsofar/conformer0.5/mc/mc.yaml ADDED
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+ train_dir: ./v1.2/100hrs/train
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+ val_dir: ./v1.2/100hrs/val
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+ out_dir: ./
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+
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+ train_set_cfg:
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+ sample_frac: 1.0
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+ max_urls: null # null means no limit
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+ val_set_cfg:
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+ sample_frac: 1.0
10
+ max_urls: null # null means no limit
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+
12
+ log_params_mlflow: True
13
+ log_metrics_mlflow: True
14
+
15
+ scheduler_step_every: [1, iterations]
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+ scheduler_name: step_lr
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+ scheduler_linear_warmup_decay_cfg:
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+ warmup: 10000
19
+ decay: 260000
20
+ scheduler_step_lr_cfg:
21
+ step_size: 1
22
+ gamma: 1.0 # no decay
23
+
24
+ stop_after: [260000, iterations]
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+ eval_every: [1000, iterations]
26
+ save_every: [1000, iterations]
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+
28
+ global_batch_size: 256
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+ learning_rate: 1e-5
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+ weight_decay: 1e-2 # according to the paper set to 1e-2
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+
32
+ # Large model per CSS with Conformer definition
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+ conformer_css_cfg:
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+ nnet_conf:
35
+ conformer_conf:
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+ attention_dim: 512 # default 256
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+ attention_heads: 8 # default 4
38
+ num_blocks: 18 # default 16
css-models/notsofar/conformer0.5/mc/model_iter_0260000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2c42c5eacb5f854de85270f70e297015e052136be3504de01d8a0af52abf348b
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+ size 707644139
css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/config.yaml ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Note there's newer and better data. Do not download v1.2
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+ train_dir: ./v1.2/100hrs/train
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+ val_dir: ./v1.2/100hrs/val
4
+ out_dir: ./
5
+
6
+ train_set_cfg:
7
+ sample_frac: 1.0
8
+ max_urls: null # null means no limit
9
+ val_set_cfg:
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+ sample_frac: 1.0
11
+ max_urls: null # null means no limit
12
+
13
+ calc_side_info: True # New!
14
+
15
+ log_params_mlflow: True
16
+ log_metrics_mlflow: True
17
+
18
+ scheduler_step_every: [1, iterations]
19
+ scheduler_name: step_lr
20
+ scheduler_step_lr_cfg:
21
+ step_size: 1
22
+ gamma: 1.0 # no decay
23
+
24
+ stop_after: [260000, iterations]
25
+ eval_every: [1000, iterations]
26
+ save_every: [1000, iterations]
27
+
28
+ loss_name: 'mask'
29
+ base_loss_name: 'l1'
30
+
31
+ global_batch_size: 256
32
+ learning_rate: 1e-4
33
+ weight_decay: 1e-2 # according to the paper set to 1e-2
34
+
35
+ # Large model per CSS with Conformer definition
36
+ conformer_css_cfg:
37
+ nnet_conf:
38
+ conformer_conf:
39
+ attention_dim: 512 # default 256
40
+ attention_heads: 8 # default 4
41
+ num_blocks: 18 # default 16
42
+ dropout_rate: 0.0 # New! The default was 0.1.
css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/model_iter_0260000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:6a9a1f804f5d2faabdcebaa1ad360f01f3e7cfff5b3dce1cd3548a6b652d6e40
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+ size 707644139
css-models/notsofar/conformer0.5/sc/model_iter_0260000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ea29623a669021816c506908d7bd3296cf54c118a38a07f41e3542cd2a0488dc
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+ size 698157739
css-models/notsofar/conformer0.5/sc/sc.yaml ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ train_dir: ./v1.2/100hrs/train
2
+ val_dir: ./v1.2/100hrs/val
3
+ out_dir: ./
4
+
5
+ single_channel: True
6
+
7
+ train_set_cfg:
8
+ sample_frac: 1.0
9
+ max_urls: null # null means no limit
10
+ val_set_cfg:
11
+ sample_frac: 1.0
12
+ max_urls: null # null means no limit
13
+
14
+ log_params_mlflow: True
15
+ log_metrics_mlflow: True
16
+
17
+ scheduler_step_every: [1, iterations]
18
+ scheduler_name: step_lr
19
+ scheduler_linear_warmup_decay_cfg:
20
+ warmup: 10000
21
+ decay: 260000
22
+ scheduler_step_lr_cfg:
23
+ step_size: 1
24
+ gamma: 1.0 # no decay
25
+
26
+ stop_after: [260000, iterations]
27
+ eval_every: [1000, iterations]
28
+ save_every: [1000, iterations]
29
+
30
+ global_batch_size: 256
31
+ learning_rate: 1e-5
32
+ weight_decay: 1e-2 # according to the paper set to 1e-2
33
+
34
+ # Large model per CSS with Conformer definition
35
+ conformer_css_cfg:
36
+ extractor_conf:
37
+ ipd_index: '' # For MC '1,0;2,0;3,0;4,0;5,0;6,0'. For SC ''.
38
+ nnet_conf:
39
+ conformer_conf:
40
+ attention_dim: 512 # default 256
41
+ attention_heads: 8 # default 4
42
+ num_blocks: 18 # default 16
43
+ in_features: 257 # For MC 1799. For SC 257.
css-models/notsofar/conformer1.0/mc/config.yaml ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Note that when run on AzureML, train_dir and val_dir are relative to the input Azure Blob Storage container, and
2
+ # out_dir is relative to the output container. When run locally, all paths are relative to the project root.
3
+ train_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/train
4
+ val_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/val
5
+ out_dir: ./
6
+
7
+ train_set_cfg:
8
+ sample_frac: 1.0
9
+ max_urls: null # null means no limit
10
+ val_set_cfg:
11
+ sample_frac: 1.0
12
+ max_urls: null # null means no limit
13
+
14
+ calc_side_info: True # New!
15
+ log_params_mlflow: True
16
+ log_metrics_mlflow: True
17
+
18
+ scheduler_step_every: [1, iterations]
19
+ scheduler_name: step_lr
20
+ scheduler_step_lr_cfg:
21
+ # Fixed LR
22
+ step_size: 1
23
+ gamma: 1.0
24
+
25
+ stop_after: [520000, iterations]
26
+ eval_every: [1000, iterations]
27
+ save_every: [1000, iterations]
28
+
29
+ loss_name: 'mask'
30
+ base_loss_name: 'l1'
31
+
32
+ global_batch_size: 256
33
+ learning_rate: 1e-4
34
+ weight_decay: 1e-2 # according to the paper set to 1e-2
35
+
36
+ # Large model per CSS with Conformer definition
37
+ conformer_css_cfg:
38
+ nnet_conf:
39
+ conformer_conf:
40
+ attention_dim: 512 # default 256
41
+ attention_heads: 8 # default 4
42
+ num_blocks: 18 # default 16
43
+ dropout_rate: 0.0 # New! The default was 0.1.
css-models/notsofar/conformer1.0/mc/model_iter_0260000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ size 707644139
css-models/notsofar/conformer1.0/sc/config.yaml ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Note that when run on AzureML, train_dir and val_dir are relative to the input Azure Blob Storage container, and
2
+ # out_dir is relative to the output container. When run locally, all paths are relative to the project root.
3
+ train_dir: ./v1.5/Clean_SCN_P_3Spk_utts_500/train
4
+ val_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/val
5
+ out_dir: ./
6
+
7
+ single_channel: True
8
+
9
+ train_set_cfg:
10
+ sample_frac: 1.0
11
+ max_urls: 640
12
+ val_set_cfg:
13
+ sample_frac: 1.0
14
+ max_urls: null # null means no limit
15
+
16
+ calc_side_info: True # New!
17
+ log_params_mlflow: True
18
+ log_metrics_mlflow: True
19
+
20
+ scheduler_step_every: [1, iterations]
21
+ scheduler_name: linear_warmup_decay
22
+ scheduler_linear_warmup_decay_cfg:
23
+ warmup: 10000
24
+ decay: 520000
25
+
26
+ stop_after: [520000, iterations]
27
+ eval_every: [1000, iterations]
28
+ save_every: [1000, iterations]
29
+
30
+ loss_name: 'mask'
31
+ base_loss_name: 'l1'
32
+
33
+ global_batch_size: 256
34
+ learning_rate: 1e-4
35
+ weight_decay: 1e-2 # according to the paper set to 1e-2
36
+
37
+ # Large model per CSS with Conformer definition
38
+ conformer_css_cfg:
39
+ extractor_conf:
40
+ ipd_index: '' # For MC '1,0;2,0;3,0;4,0;5,0;6,0'. For SC ''.
41
+ nnet_conf:
42
+ conformer_conf:
43
+ attention_dim: 512 # default 256
44
+ attention_heads: 8 # default 4
45
+ num_blocks: 18 # default 16
46
+ dropout_rate: 0.0 # New! The default was 0.1.
47
+ in_features: 257 # For MC 1799. For SC 257.
css-models/notsofar/conformer1.0/sc/model_iter_0458000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 698157867