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LLLM-Lab

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huanhuan_vits

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Local Large Language Model Lab 6

{ "log_interval": 10, "eval_interval": 100, "seed": 1234, "epochs": 10000, "learning_rate": 0.0002, "betas": [ 0.8, 0.99 ], "eps": 1e-9, "batch_size": 16, "fp16_run": true, "lr_decay": 0.999875, "segment_size": 8192, "init_lr_ratio": 1, "warmup_epochs": 0, "c_mel": 45, "c_kl": 1 }

{ "training_files": "final_annotation_train.txt", "validation_files": "final_annotation_val.txt", "text_cleaners": [ "zh_ja_mixture_cleaners" ], "max_wav_value": 32768, "sampling_rate": 22050, "filter_length": 1024, "hop_length": 256, "win_length": 1024, "n_mel_channels": 80, "mel_fmin": 0, "mel_fmax": null, "add_blank": true, "n_speakers": 3, "cleaned_text": true }

{ "inter_channels": 192, "hidden_channels": 192, "filter_channels": 768, "n_heads": 2, "n_layers": 6, "kernel_size": 3, "p_dropout": 0.1, "resblock": "1", "resblock_kernel_sizes": [ 3, 7, 11 ], "resblock_dilation_sizes": [ [ 1, 3, 5 ], [ 1, 3, 5 ], [ 1, 3, 5 ] ], "upsample_rates": [ 8, 8, 2, 2 ], "upsample_initial_channel": 512, "upsample_kernel_sizes": [ 16, 16, 4, 4 ], "n_layers_q": 3, "use_spectral_norm": false, "gin_channels": 256 }

{ "huanhuan": 0, "specialweek": 1, "zhongli": 2 }

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