ThinkSound / defaults.ini
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init
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[DEFAULTS]
#name of the run
name = think_sound
# the batch size
batch_size = 8
test_batch_size = 32
# predict ckpt directory
ckpt_dir = ""
# number of GPUs to use for training
num_gpus = 1
# number of nodes to use for training
num_nodes = 1
# Multi-GPU strategy for PyTorch Lightning
strategy = ""
# Precision to use for training
precision = "bf16-mixed"
# number of CPU workers for the DataLoader
num_workers = 8
# the random seed
seed = 42
# Batches for gradient accumulation
accum_batches = 1
# Number of steps between checkpoints
checkpoint_every = 2000
# trainer checkpoint file to restart training from
ckpt_path = ''
# model checkpoint file to start a new training run from
pretrained_ckpt_path = ''
# Checkpoint path for the pretransform model if needed
pretransform_ckpt_path = ''
# configuration model specifying model hyperparameters
model_config = ''
# configuration for datasets
dataset_config = ''
# directory to save the checkpoints in
save_dir = ''
# gradient_clip_val passed into PyTorch Lightning Trainer
gradient_clip_val = 0.0
# remove the weight norm from the pretransform model
remove_pretransform_weight_norm = ''
compile = False
repeat_num = 5