# project-related
work_dir: ''
load_ckpt: ''
tb_log_interval: 100

# testing related
gen_dir_name: ''
save_gt: true

# training-scheme-related
num_ckpt_keep: 100
val_check_interval: 2000
valid_infer_interval: 2000
max_updates: 4_0000
seed: 9999
lr: 0.0005
scheduler: exponential # exponential|rsqrt|warmup|none|step_lr
warmup_updates: 1000
optimizer_adam_beta1: 0.9
optimizer_adam_beta2: 0.999
weight_decay: 0
accumulate_grad_batches: 1
clip_grad_norm: 1
clip_grad_value: 0
num_sanity_val_steps: 5
num_valid_plots: 1
eval_max_batches: 10 # num_test_plots
print_nan_grads: false
resume_from_checkpoint: 0 # specify the step, 0 for latest
amp: false
valid_monitor_key: val_loss
valid_monitor_mode: min
save_best: false
debug: false
save_codes:
- tasks
- modules
- egs

# model-related
hidden_size: 256

# infer-related
infer_audio_source_name: ''
infer_out_npy_name: ''
infer_ckpt_steps: 40000

load_db_to_memory: false # enable it for faster indexing

max_sentences_per_batch: 512
max_tokens_per_batch: 20000
num_workers: 4

audio_type: hubert
motion_type: idexp_lm3d
use_kv_dataset: false
use_fork: true