audio: 
    chunk_duration_s: 4
    sample_rate: 16000
    strict_frames: false
auto_resume: false
batch_size: '16'
config: /lustre/fswork/projects/rech/kqg/commun/addressee_checkpoints_V3/checkpoints/bbh2Context10Sseed4/config.yml
context_size: '10'
data: 
    classes: binary_classes
    dataset_path: /lustre/fswork/projects/rech/kqg/commun/addressee_dataset
exp_config: pooling.yml
freeze_encoder: false
model_id: /lustre/fswork/projects/rech/kqg/commun/models/epoch=44-step=400000.ckpt
model_type: hubert
output: /lustre/fswork/projects/rech/kqg/commun/addressee_checkpoints_V3/checkpoints/
plots: false
pool: true
reduction: false
run_id: bbh2Context10Sseed4
tags: []
train:
    batch_size: 16
    classifier: 256
    dataloader: 
        num_workers: 8
    extra_val_metrics:
    - loss
    - f1_score
    lr: 1.0e-05
    mask_padding_attention: false
    max_epochs: 10
    optim:
        decay_steps: 7500
        final_lr_scale: 0.05
        hold_steps: 12500
        init_lr_scale: 0.01
        scheduler: tristage
        warmup_steps: 5000
    pad: true
    profiler: null
    scheduler: 
        patience: 3
    validation_metric: loss
wandb:
    name: train
    offline: true
    project: addresseecontext