Update README.md

README.md

@@ -7,6 +7,7 @@ datasets:
 - wham
 - sep_clean
 license: cc-by-sa-3.0
+pipeline_tag: audio-to-audio
 ---
 
 ## Asteroid model `mpariente/DPRNNTasNet(ks=16)_WHAM!_sepclean`
@@ -26,44 +27,44 @@ This model was trained by Manuel Pariente using the wham/DPRNN recipe in [Astero
 ### Training config
 
 - data:
-	- mode: min
-	- nondefault_nsrc: None
-	- sample_rate: 8000
-	- segment: 2.0
-	- task: sep_clean
-	- train_dir: data/wav8k/min/tr
-	- valid_dir: data/wav8k/min/cv
+\t- mode: min
+\t- nondefault_nsrc: None
+\t- sample_rate: 8000
+\t- segment: 2.0
+\t- task: sep_clean
+\t- train_dir: data/wav8k/min/tr
+\t- valid_dir: data/wav8k/min/cv
 - filterbank:
-	- kernel_size: 16
-	- n_filters: 64
-	- stride: 8
+\t- kernel_size: 16
+\t- n_filters: 64
+\t- stride: 8
 - main_args:
-	- exp_dir: exp/train_dprnn_ks16/
-	- help: None
+\t- exp_dir: exp/train_dprnn_ks16/
+\t- help: None
 - masknet:
-	- bidirectional: True
-	- bn_chan: 128
-	- chunk_size: 100
-	- dropout: 0
-	- hid_size: 128
-	- hop_size: 50
-	- in_chan: 64
-	- mask_act: sigmoid
-	- n_repeats: 6
-	- n_src: 2
-	- out_chan: 64
+\t- bidirectional: True
+\t- bn_chan: 128
+\t- chunk_size: 100
+\t- dropout: 0
+\t- hid_size: 128
+\t- hop_size: 50
+\t- in_chan: 64
+\t- mask_act: sigmoid
+\t- n_repeats: 6
+\t- n_src: 2
+\t- out_chan: 64
 - optim:
-	- lr: 0.001
-	- optimizer: adam
-	- weight_decay: 1e-05
+\t- lr: 0.001
+\t- optimizer: adam
+\t- weight_decay: 1e-05
 - positional arguments:
 - training:
-	- batch_size: 6
-	- early_stop: True
-	- epochs: 200
-	- gradient_clipping: 5
-	- half_lr: True
-	- num_workers: 6
+\t- batch_size: 6
+\t- early_stop: True
+\t- epochs: 200
+\t- gradient_clipping: 5
+\t- half_lr: True
+\t- num_workers: 6
  
 #### Results