addressee / config.yaml
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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