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readmme updatE

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Eren Golge 2018-04-19 05:41:00 -07:00
parent 5556b7bd51
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@ -43,36 +43,37 @@ You can also enjoy Tensorboard with couple of good training logs, if you point `
Example ```config.json```:
```
{
// Data loading parameters
"num_mels": 80,
"num_freq": 1024,
"sample_rate": 20000,
"frame_length_ms": 50.0,
"num_freq": 1025,
"sample_rate": 22050,
"frame_length_ms": 50,
"frame_shift_ms": 12.5,
"preemphasis": 0.97,
"min_level_db": -100,
"ref_level_db": 20,
"hidden_size": 128,
"embedding_size": 256,
"text_cleaner": "english_cleaners",
// Training parameters
"epochs": 2000,
"lr": 0.001,
"batch_size": 256,
"griffinf_lim_iters": 60,
"power": 1.5,
"r": 5, // number of decoder outputs for Tacotron
"epochs": 200,
"lr": 0.002,
"warmup_steps": 4000,
"batch_size": 32,
"eval_batch_size":32,
"r": 5,
// Number of data loader processes
"griffin_lim_iters": 60,
"power": 1.2,
"dataset": "TWEB",
"meta_file_train": "transcript_train.txt",
"meta_file_val": "transcript_val.txt",
"data_path": "/data/shared/BibleSpeech/",
"min_seq_len": 0,
"num_loader_workers": 8,
// Experiment logging parameters
"checkpoint": true, // if save checkpoint per save_step
"save_step": 200,
"data_path": "/path/to/KeithIto/LJSpeech-1.0",
"output_path": "/path/to/my_experiment",
"log_dir": "/path/to/my/tensorboard/logs/"
}
```