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config.yaml

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+exp_name: CodecFake_hubert_MLP_NoAug_seed2
+output_dir: ./outputs/batch_CodecFake/
+seed: 2
+data:
+  sampling_rate: 16000
+  label_map:
+    bonafide: 1
+    spoof: 0
+  train:
+    dataset_type: StandardDataset
+    parquet_files:
+    - /netscratch/yelkheir/DeepFense/DeepFense/deepfense/config/parquets/CodecFake/codecfake_train.parquet
+    dataset_names:
+    - CodecFake_Train
+    batch_size: 32
+    shuffle: true
+    num_workers: 4
+    base_transform:
+    - type: pad
+      max_len: 64000
+      random_pad: true
+      pad_type: repeat
+    augment_transform: []
+  val:
+    dataset_type: StandardDataset
+    parquet_files:
+    - /netscratch/yelkheir/DeepFense/DeepFense/deepfense/config/parquets/CodecFake/codecfake_dev.parquet
+    dataset_names:
+    - CodecFake_Val
+    batch_size: 1
+    shuffle: false
+    num_workers: 4
+    base_transform:
+    - type: pad
+      max_len: 64000
+      pad_type: repeat
+  test:
+    dataset_type: StandardDataset
+    parquet_files:
+    - /netscratch/yelkheir/DeepFense/DeepFense/deepfense/config/parquets/CodecFake/codecfake_eval.parquet
+    dataset_names:
+    - CodecFake_Eval
+    batch_size: 1
+    shuffle: false
+    num_workers: 4
+    base_transform:
+    - type: pad
+      max_len: 64000
+      pad_type: repeat
+model:
+  type: StandardDetector
+  frontend:
+    type: hubert
+    args:
+      ckpt_path: /netscratch/yelkheir/ssl_models/hubert_large_ll60k.pt
+      freeze: false
+      source: fairseq
+  backend:
+    type: MLP
+    args:
+      input_dim: 1024
+      projection:
+      - 128
+      pooling_type: mean
+  loss:
+  - type: CrossEntropy
+    embedding_dim: 128
+    n_classes: 2
+    weight: 1.0
+training:
+  trainer: StandardTrainer
+  epochs: 100
+  early_stopping_patience: 7
+  optimizer:
+    type: adam
+    lr: 1.0e-06
+  metrics:
+    ACC: {}
+    EER: {}
+  eval_every_epochs: 1
+  device: cuda
+  output_dir: ./outputs/batch_CodecFake/CodecFake_hubert_MLP_NoAug_seed2_20260205_051317