maskgct / egs /tts /VALLE_V2 /exp_nar_libritts.json
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{
"model_type": "VALLE_V2_NAR",
"log_dir": "./ckpt/VALLE_V2",
"use_speechtokenizer": true,
"train": {
"gradient_accumulation_step": 1,
"find_unused_parameters": true,
"tracker": ["tensorboard"],
"max_epoch": 1000,
"save_checkpoint_stride": [500],
"keep_last": [1],
"run_eval": [true],
"dataloader": {
"num_worker": 4,
"pin_memory": true,
"persistent_workers": true
},
"dataset": {
"use_dynamic_batchsize": false,
"name": "libritts"
},
"optimizer": "adamw",
"adamw": {
"lr": 1e-4
},
"scheduler": {
"warmup_steps": 25000,
"total_steps": 800000,
"min_lr": 1e-5
},
"exponentiallr": {
"gamma": 0.999999
},
"batch_size": 5,
"max_tokens": 10500,
"max_sentences": 64,
"random_seed": 0
},
"dataset": {
"dataset_list":["train-clean-360"],
"data_dir": "/path/to/your/libritts" // You can also change to other splits like "dev-clean"
},
"model": {
"phone_vocab_size": 300,
"target_vocab_size": 1024,
"pad_token_id": 1324,
"bos_target_id": 1325,
"eos_target_id": 1326,
"bos_phone_id": 1327,
"eos_phone_id": 1328,
"bos_prompt_id": 1329,
"eos_prompt_id": 1330,
"num_hidden_layers": 16
}
}