Delete configs

configs/s1.yaml

@@ -1,31 +0,0 @@
-train:
-  seed: 1234
-  epochs: 300
-  batch_size: 8
-  gradient_accumulation: 4
-  save_every_n_epoch: 1
-  precision: 16
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 54
-  num_workers: 1
-  pad_val: 1024 # same with EOS in model
-model:
-  vocab_size: 1025
-  phoneme_vocab_size: 512
-  embedding_dim: 512
-  hidden_dim: 512
-  head: 16
-  linear_units: 2048
-  n_layer: 12
-  dropout: 0
-  EOS: 1024
-inference:
-  top_k: 5

configs/s1big.yaml

@@ -1,31 +0,0 @@
-train:
-  seed: 1234
-  epochs: 300
-  batch_size: 8
-  gradient_accumulation: 4
-  save_every_n_epoch: 1
-  precision: 16-mixed
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 54
-  num_workers: 1
-  pad_val: 1024 # same with EOS in model
-model:
-  vocab_size: 1025
-  phoneme_vocab_size: 512
-  embedding_dim: 1024
-  hidden_dim: 1024
-  head: 16
-  linear_units: 2048
-  n_layer: 16
-  dropout: 0
-  EOS: 1024
-inference:
-  top_k: 5

configs/s1big2.yaml

@@ -1,31 +0,0 @@
-train:
-  seed: 1234
-  epochs: 300
-  batch_size: 12
-  gradient_accumulation: 4
-  save_every_n_epoch: 1
-  precision: 16-mixed
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 54
-  num_workers: 1
-  pad_val: 1024 # same with EOS in model
-model:
-  vocab_size: 1025
-  phoneme_vocab_size: 512
-  embedding_dim: 1024
-  hidden_dim: 1024
-  head: 16
-  linear_units: 2048
-  n_layer: 6
-  dropout: 0
-  EOS: 1024
-inference:
-  top_k: 5

configs/s1longer-v2.yaml

@@ -1,31 +0,0 @@
-train:
-  seed: 1234
-  epochs: 20
-  batch_size: 8
-  save_every_n_epoch: 1
-  precision: 16-mixed
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 54
-  num_workers: 4
-  pad_val: 1024 # same with EOS in model
-model:
-  vocab_size: 1025
-  phoneme_vocab_size: 732
-  embedding_dim: 512
-  hidden_dim: 512
-  head: 16
-  linear_units: 2048
-  n_layer: 24
-  dropout: 0
-  EOS: 1024
-  random_bert: 0
-inference:
-  top_k: 15

configs/s1longer.yaml

@@ -1,31 +0,0 @@
-train:
-  seed: 1234
-  epochs: 20
-  batch_size: 8
-  save_every_n_epoch: 1
-  precision: 16-mixed
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 54
-  num_workers: 4
-  pad_val: 1024 # same with EOS in model
-model:
-  vocab_size: 1025
-  phoneme_vocab_size: 512
-  embedding_dim: 512
-  hidden_dim: 512
-  head: 16
-  linear_units: 2048
-  n_layer: 24
-  dropout: 0
-  EOS: 1024
-  random_bert: 0
-inference:
-  top_k: 5

configs/s1mq.yaml

@@ -1,77 +0,0 @@
-train:
-  seed: 1234
-  epochs: 100
-  batch_size: 6
-  gradient_accumulation: 4
-  save_every_n_epoch: 1
-  precision: 32
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 40
-  num_workers: 1
-  pad_val: 1024 # same with EOS in model
-model:
-  saving_path: "ckpt/"
-  resume_checkpoint: null
-  vocoder_config_path: "quantizer/new_ckpt/config.json"
-  vocoder_ckpt_path: "quantizer/new_ckpt/g_00600000"
-  datadir: "/home/liweiche/GigaSpeech/wavs"
-  metapath: "/home/liweiche/GigaSpeech/train2.json"
-  val_metapath: "/home/liweiche/GigaSpeech/dev2.json"
-  sampledir: "logs/"
-  pretrained_path: null
-  lr: 0.0001
-  batch_size: 200.0
-  train_bucket_size: 8192
-  training_step: 800000
-  optim_flat_percent: 0.0
-  warmup_step: 50
-  adam_beta1: 0.9
-  adam_beta2: 0.98
-  ffd_size: 3072
-  hidden_size: 768
-  enc_nlayers: 6
-  dec_nlayers: 6
-  nheads: 12
-  ar_layer: 4
-  ar_ffd_size: 1024
-  ar_hidden_size: 256
-  ar_nheads: 4
-  aligner_softmax_temp: 1.0
-  layer_norm_eps: 0.00001
-  speaker_embed_dropout: 0.05
-  label_smoothing: 0.0
-  val_check_interval: 5000
-  check_val_every_n_epoch: 1
-  precision: "fp16"
-  nworkers: 16
-  distributed: true
-  accelerator: "ddp"
-  version: null
-  accumulate_grad_batches: 1
-  use_repetition_token: true
-  use_repetition_gating: false
-  repetition_penalty: 1.0
-  sampling_temperature: 1.0
-  top_k: -1
-  min_top_k: 3
-  top_p: 0.8
-  sample_num: 4
-  length_penalty_max_length: 15000
-  length_penalty_max_prob: 0.95
-  max_input_length: 2048
-  max_output_length: 2000
-  sample_rate: 16000
-  n_codes: 1024
-  n_cluster_groups: 1
-  phone_context_window: 4
-  phoneset_size: 1000
-inference:
-  top_k: 5

configs/s2.json

@@ -1,90 +0,0 @@
-{
-  "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
-  },
-  "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
-  },
-  "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": "logs/s2/big2k1",
-  "content_module": "cnhubert"
-}

configs/train.yaml

@@ -1,32 +0,0 @@
-gpu:
-  n_card: 1
-  n_process_per_card: 2
-io:
-  text_path: D:\RVC1006\GPT-SoVITS\GPT_SoVITS
-  save_every_n_epoch: 1
-  precision: 16-mixed
-  gradient_clip: 1.0
-optimizer:
-  lr: 0.01
-  lr_init: 0.00001
-  lr_end: 0.0001
-  warmup_steps: 2000
-  decay_steps: 40000
-data:
-  max_eval_sample: 8
-  max_sec: 54
-  num_workers: 1
-  pad_val: 1024 # same with EOS in model
-model:
-  vocab_size: 1025
-  phoneme_vocab_size: 512
-  embedding_dim: 512
-  hidden_dim: 512
-  head: 16
-  linear_units: 2048
-  n_layer: 24
-  dropout: 0
-  EOS: 1024
-  random_bert: 0
-inference:
-  top_k: 5