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model:
audio_encoder: # input (1, 80, 52)
in_channels: 1
block_out_channels: [32, 64, 128, 256, 512, 1024]
downsample_factors: [[2, 1], 2, 2, 2, 2, [2, 3]]
attn_blocks: [0, 0, 0, 0, 0, 0]
dropout: 0.0
visual_encoder: # input (64, 32, 32)
in_channels: 64
block_out_channels: [64, 128, 256, 256, 512, 1024]
downsample_factors: [2, 2, 2, 1, 2, 2]
attn_blocks: [0, 0, 0, 0, 0, 0]
dropout: 0.0
ckpt:
resume_ckpt_path: ""
inference_ckpt_path: ""
save_ckpt_steps: 2500
data:
train_output_dir: output/syncnet
num_val_samples: 1200
batch_size: 120 # 40
num_workers: 11 # 11
latent_space: true
num_frames: 16
resolution: 256
train_fileslist: ""
train_data_dir: /mnt/bn/maliva-gen-ai-v2/chunyu.li/VoxCeleb2/high_visual_quality/train
val_fileslist: ""
val_data_dir: /mnt/bn/maliva-gen-ai-v2/chunyu.li/VoxCeleb2/high_visual_quality/val
audio_cache_dir: /mnt/bn/maliva-gen-ai-v2/chunyu.li/audio_cache/mel_new
lower_half: false
pretrained_audio_model_path: facebook/wav2vec2-large-xlsr-53
audio_sample_rate: 16000
video_fps: 25
optimizer:
lr: 1e-5
max_grad_norm: 1.0
run:
max_train_steps: 10000000
validation_steps: 2500
mixed_precision_training: true
seed: 42
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