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train:
seed: 1234
epochs: 300
batch_size: 8
gradient_accumulation: 4
save_every_n_epoch: 1
precision: 16
gradient_clip: 1.0
optimizer:
lr: 0.01
lr_init: 0.00001
lr_end: 0.0001
warmup_steps: 2000
decay_steps: 40000
data:
max_eval_sample: 8
max_sec: 54
num_workers: 1
pad_val: 1024 # same with EOS in model
model:
vocab_size: 1025
phoneme_vocab_size: 512
embedding_dim: 512
hidden_dim: 512
head: 16
linear_units: 2048
n_layer: 12
dropout: 0
EOS: 1024
inference:
top_k: 5