w2v2: aug with populi-series

.gitattributes

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w2v2_aug_asv/READMD.md

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+This model is recommended to work with [tomatoDD](https://github.com/XIAOYixuan/tomatoDD/commits/challenge-fad-proj/) at commit `6c6251c442884770d26e8bab55f8c7b0f0a594fb`

w2v2_aug_asv/best.mdl

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w2v2_aug_asv/train.yaml

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+criterion:
+  model_class: built-in
+  type: BCEWithLogitsLoss
+data:
+  batch_size: 394
+  data_path: dataset_meta/asvssPopuli
+  do_augment: true
+  max_len: 4
+  model_class: GeneralFAD
+  num_workers: 8
+  test_batch_size: 128
+  test_num_workers: 4
+  upsample: true
+model:
+  cuda: 0
+  model_class: wav2vecAASIST
+  num_classes: 1
+train:
+  beta1: 0.9
+  beta2: 0.999
+  log_interval: 20
+  lr: 0.0005
+  lr_gamma: 0.5
+  lr_step_size: 1000
+  max_epoch: 20 
+  max_steps: 10000000000
+  start_steps: 0
+  validate_interval: 10000000000
+  weight_decay: 0.0001