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ckpt/config_bigvgan.json

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+{
+    "train": {
+      "log_interval": 1000,
+      "eval_interval": 10000,
+      "save_interval": 10000,
+      "seed": 1234,
+      "epochs": 1000,
+      "optimizer": "adamw",
+      "lr_decay_on": true,
+      "learning_rate": 5e-5,
+      "betas": [0.8, 0.99],
+      "eps": 1e-9,
+      "batch_size": 32,
+      "fp16_run": false,
+      "lr_decay": 0.999875,
+      "segment_size": 35840,
+      "init_lr_ratio": 1,
+      "warmup_epochs": 0,
+      "c_mel": 1,
+      "aug": true,
+      "lambda_commit": 0.02
+    },
+    "data": { 
+      "sampling_rate": 16000,
+      "filter_length": 1280,
+      "hop_length": 320,
+      "win_length": 1280,
+      "n_mel_channels": 80,
+      "mel_fmin": 0,
+      "mel_fmax": 8000 
+    },
+    "model": {
+      "inter_channels": 192,
+      "hidden_channels": 192,
+      "filter_channels": 768,
+      "n_heads": 2,
+      "n_layers": 8,
+      "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": [5,4,2,2,2,2],
+      "upsample_initial_channel": 1024,
+      "upsample_kernel_sizes": [11,8,4,4,4,4], 
+      "hidden_size": 128
+    }, 
+    "diffusion" : {
+      "dec_dim" : 64,
+      "spk_dim" : 128,
+      "beta_min" : 0.05,
+      "beta_max" : 20.0
+    }
+  }

ckpt/model_diffhier.pth

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vocoder/voc_bigvgan.pth

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+size 620828487

vocoder/voc_hifigan.pth

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