julien-c HF staff commited on
Commit
6b73239
1 Parent(s): d284f56

Fix readme.md and do not use pipeline_tag as not really needed (just tag)

Browse files
Files changed (1) hide show
  1. README.md +33 -33
README.md CHANGED
@@ -1,5 +1,6 @@
1
  ---
2
  tags:
 
3
  - asteroid
4
  - audio
5
  - audio-source-separation
@@ -7,7 +8,6 @@ datasets:
7
  - wham
8
  - sep_clean
9
  license: cc-by-sa-3.0
10
- pipeline_tag: audio-to-audio
11
  ---
12
 
13
  ## Asteroid model `mpariente/DPRNNTasNet(ks=16)_WHAM!_sepclean`
@@ -27,44 +27,44 @@ This model was trained by Manuel Pariente using the wham/DPRNN recipe in [Astero
27
  ### Training config
28
 
29
  - data:
30
- \t- mode: min
31
- \t- nondefault_nsrc: None
32
- \t- sample_rate: 8000
33
- \t- segment: 2.0
34
- \t- task: sep_clean
35
- \t- train_dir: data/wav8k/min/tr
36
- \t- valid_dir: data/wav8k/min/cv
37
  - filterbank:
38
- \t- kernel_size: 16
39
- \t- n_filters: 64
40
- \t- stride: 8
41
  - main_args:
42
- \t- exp_dir: exp/train_dprnn_ks16/
43
- \t- help: None
44
  - masknet:
45
- \t- bidirectional: True
46
- \t- bn_chan: 128
47
- \t- chunk_size: 100
48
- \t- dropout: 0
49
- \t- hid_size: 128
50
- \t- hop_size: 50
51
- \t- in_chan: 64
52
- \t- mask_act: sigmoid
53
- \t- n_repeats: 6
54
- \t- n_src: 2
55
- \t- out_chan: 64
56
  - optim:
57
- \t- lr: 0.001
58
- \t- optimizer: adam
59
- \t- weight_decay: 1e-05
60
  - positional arguments:
61
  - training:
62
- \t- batch_size: 6
63
- \t- early_stop: True
64
- \t- epochs: 200
65
- \t- gradient_clipping: 5
66
- \t- half_lr: True
67
- \t- num_workers: 6
68
 
69
  #### Results
70
 
1
  ---
2
  tags:
3
+ - audio-to-audio
4
  - asteroid
5
  - audio
6
  - audio-source-separation
8
  - wham
9
  - sep_clean
10
  license: cc-by-sa-3.0
 
11
  ---
12
 
13
  ## Asteroid model `mpariente/DPRNNTasNet(ks=16)_WHAM!_sepclean`
27
  ### Training config
28
 
29
  - data:
30
+ - mode: min
31
+ - nondefault_nsrc: None
32
+ - sample_rate: 8000
33
+ - segment: 2.0
34
+ - task: sep_clean
35
+ - train_dir: data/wav8k/min/tr
36
+ - valid_dir: data/wav8k/min/cv
37
  - filterbank:
38
+ - kernel_size: 16
39
+ - n_filters: 64
40
+ - stride: 8
41
  - main_args:
42
+ - exp_dir: exp/train_dprnn_ks16/
43
+ - help: None
44
  - masknet:
45
+ - bidirectional: True
46
+ - bn_chan: 128
47
+ - chunk_size: 100
48
+ - dropout: 0
49
+ - hid_size: 128
50
+ - hop_size: 50
51
+ - in_chan: 64
52
+ - mask_act: sigmoid
53
+ - n_repeats: 6
54
+ - n_src: 2
55
+ - out_chan: 64
56
  - optim:
57
+ - lr: 0.001
58
+ - optimizer: adam
59
+ - weight_decay: 1e-05
60
  - positional arguments:
61
  - training:
62
+ - batch_size: 6
63
+ - early_stop: True
64
+ - epochs: 200
65
+ - gradient_clipping: 5
66
+ - half_lr: True
67
+ - num_workers: 6
68
 
69
  #### Results
70