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configs/s1.yaml

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+output_dir: "logs/s1"
+train:
+  seed: 1234
+  epochs: 15
+  batch_size: 8
+  save_every_n_epoch: 5
+  precision: 32
+  if_save_latest: true
+  if_save_every_weights: true
+  exp_name: "gpt_training"
+  half_weights_save_dir: "weights/s1"
+  wandb:
+    project: "gpt-sovits-hindi"
+    name: "stage1_training"
+    entity: null
+    log_interval: 100
+
+optimizer:
+  lr_init: 0.0001
+  lr: 0.0004
+  lr_end: 0.00001
+  warmup_steps: 500
+  decay_steps: 1000
+
+data:
+  training_files: "data8"
+  max_sec: 60
+  max_frames: 60
+  filter_length: 2048
+  hop_length: 640
+  win_length: 2048
+  mel_channels: 128
+  mel_fmin: 0.0
+  mel_fmax: null
+  cleaned_text: true
+  num_workers: 4
+  batch_size: 8
+  pad_val: 1024
+
+# Data paths
+train_semantic_path: "data8/semantic.tsv"
+train_phoneme_path: "data8/phoneme.txt"
+
+model:
+  hidden_dim: 768
+  embedding_dim: 768
+  n_layer: 12
+  head: 12
+  n_embd: 768
+  vocab_size: 2048
+  block_size: 1000
+  embd_pdrop: 0.1
+  resid_pdrop: 0.1
+  attn_pdrop: 0.1
+  semantic_dim: 1024
+  num_layers: 6
+  ffn_hidden: 3072
+  dropout: 0.1
+  attention_dropout: 0.1
+  hidden_dropout: 0.1
+  max_text_positions: 2048
+  max_mel_positions: 8000
+  prenet_dim: 384
+  postnet_dim: 384
+  prenet_layers: 3
+  postnet_layers: 3
+  phoneme_vocab_size: 2048
+  EOS: 2047
+  pad_val: 1024

configs/s2.json

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+{
+  "train": {
+    "log_interval": 100,
+    "eval_interval": 500,
+    "seed": 1234,
+    "epochs": 100,
+    "learning_rate": 0.0001,
+    "betas": [0.8, 0.99],
+    "eps": 1e-09,
+    "batch_size": 32,
+    "fp16_run": true,
+    "lr_decay": 0.999875,
+    "segment_size": 20480,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "text_low_lr_rate": 0.4,
+    "gpu_numbers": "0"
+  },
+  "data": {
+    "max_wav_value": 32768.0,
+    "sampling_rate": 32000,
+    "filter_length": 2048,
+    "hop_length": 640,
+    "win_length": 2048,
+    "n_mel_channels": 128,
+    "mel_fmin": 0.0,
+    "mel_fmax": null,
+    "add_blank": true,
+    "n_speakers": 300,
+    "cleaned_text": true,
+    "training_files": "data8",
+    "exp_dir": "/workspace/GPT-SoVITS/logs/s2"
+  },
+  "model": {
+    "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": [10, 8, 2, 2, 2],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [16, 16, 8, 2, 2],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 512,
+    "semantic_frame_rate": "25hz",
+    "freeze_quantizer": true
+  },
+  "s2_ckpt_dir": "/workspace/GPT-SoVITS/logs/s2/sovits_training",
+  "content_module": "cnhubert"
+} 

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