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# @package _group_
common:
fp16: true
log_format: json
log_interval: 200
all_gather_list_size: 70000
tensorboard_logdir: tb
min_loss_scale: 1e-6
checkpoint:
save_interval: 1
no_epoch_checkpoints: true
best_checkpoint_metric: mAP
maximize_best_checkpoint_metric: true
task:
_name: audio_classification
data: ???
normalize: true
labels: lbl
dataset:
num_workers: 6
max_tokens: 2560000
skip_invalid_size_inputs_valid_test: true
valid_subset: eval
validate_interval: 5
distributed_training:
ddp_backend: legacy_ddp
distributed_world_size: 8
criterion:
_name: model
can_sum: false
log_keys:
- _predictions
- _targets
optimization:
max_update: 30000
lr: [0.00006] # scratch 53-5
optimizer:
_name: adam
adam_betas: (0.9,0.98)
adam_eps: 1e-08
lr_scheduler:
_name: cosine
warmup_updates: 5000
model:
_name: audio_classification
model_path: ???
apply_mask: true
mask_prob: 0.6
mask_length: 5 # scratch 1
mask_channel_prob: 0
mask_channel_length: 64
layerdrop: 0.1
dropout: 0.1
activation_dropout: 0.1
attention_dropout: 0.2
feature_grad_mult: 0 # scratch 1
label_mixup: true
source_mixup: 0.5
prediction_mode: lin_softmax # scratch average_sigmoid