Upload config.yaml with huggingface_hub

config.yaml

@@ -0,0 +1,75 @@
+exp_name: CodecFake_eat_Nes2Net_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: eat
+    args:
+      source: huggingface
+  backend:
+    type: Nes2Net
+  loss:
+  - type: CrossEntropy
+    embedding_dim: 1024
+    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_eat_Nes2Net_NoAug_seed2_20260204_200455