Add causal person fusion and MuVAP stage-3 baselines
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# Role-based VAP: one mixed channel, 136 role-relative classes.
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fisher_path: data/fisher
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checkpoint_dir: runs/vap_role
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vap:
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arch: mono # mono | stereo
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batch_size: 64
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num_workers: 16
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max_epochs: 5
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lr: 0.001
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weight_decay: 0.01
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warmup_ratio: 0.1
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min_lr: 0.0001
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precision: bf16-mixed
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gradient_clip_val: 1.0
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accumulate_grad_batches: 1
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matmul_precision: high
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# Metric that selects best.ckpt. Leave empty when there is no held-out
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# split to select on: last.ckpt is written either way.
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checkpoint_monitor: val/loss
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checkpoint_mode: min
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# npy reads the segments written by preprocessing; raw seeks the same window
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# in the source recording and resamples it.
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source: npy
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swap_channels: false # stereo-only augmentation
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projection_window:
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bin_sec: [1.4, 0.6, 0.6, 1.4]
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num_hist_bins: 2
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frame_hz: 25
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threshold: 0.5
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mode: role_relative
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cut_center_frame: false
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temporal:
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d_model: 256
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m_ff: 3
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n_heads: 4
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n_layers: 4
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dropout: 0.1
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activation: GELU
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causal: true
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pos_encoding: alibi # alibi | rope | sinusoidal | none
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ffn: mlp # mlp | swiglu
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norm: layer # layer | rms
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# Size of the sinusoidal position table. Rotary and ALiBi extend to any
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# length, so this bounds the sinusoidal encoding only.
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max_frames: 4096
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