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model_name: pretrain
model:
dim: 1024
depth: 24
heads: 16
ff_mult: 4
text_dim: 512
# disable convnext in text embedding
conv_layers: 0
# phoneme vocab size
text_num_embeds: 200
mel_dim: 100
t5_dim: 1024
clap_dim: 512
# disable it on a100
use_checkpoint: false
qk_norm: true
skip: true
mel:
target_sample_rate: 24000
n_mel_channels: 100
hop_length: 256
opt:
learning_rate: 2.0e-04
beta1: 0.9
beta2: 0.999
weight_decay: 0.01
adam_epsilon: 1.0e-08
grad_clip: 1.0
batch_size: 64
accumulation_steps: 1
# mask_range: [0.7, 1.0]
drop_spk: 0.1
drop_text: 0.5
lr_scheduler:
warmup_steps: 5000
decay_steps: 150000
end_factor: 1.0e-02
data:
trainset:
dataset_dir: "" # your processed path
clap_emb_dir: "./data/clap_embs/"
t5_folder_name: "t5"
phn_folder_name: "g2p"
manifest_name: "manifest"
json_name: "jsons"
dynamic_batching: true
text_pad_token: -1
audio_pad_token: 0.0
split: "train_PT"
sr: 24000
norm_audio: false
valset:
dataset_dir: "" # your processed path
clap_emb_dir: "./data/clap_embs/"
t5_folder_name: "t5"
phn_folder_name: "g2p"
manifest_name: "manifest"
json_name: "jsons"
dynamic_batching: true
text_pad_token: -1
audio_pad_token: 0.0
split: "validation_PT"
sr: 24000
norm_audio: false
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