Add files using upload-large-folder tool
Browse files
WavCube-pro/checkpoints/vocos_checkpoint_epoch=34_step=200000_val_loss=3.2140.ckpt
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:3be60dc837b1c90f4717d4b87a0616295785087b683212b27d8883ef1e94f684
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| 3 |
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size 11575027210
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WavCube-pro/config.yaml
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@@ -0,0 +1,160 @@
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| 1 |
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# pytorch_lightning==1.8.6
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| 2 |
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seed_everything: 4444
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| 3 |
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trainer:
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| 4 |
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logger:
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| 5 |
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class_path: pytorch_lightning.loggers.TensorBoardLogger
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| 6 |
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init_args:
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| 7 |
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save_dir: logs/wavlmvae-mimo-librispeech-stage2_kl1e-4_ae_300mdeco_6k
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| 8 |
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name: first
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| 9 |
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version: null
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| 10 |
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log_graph: false
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| 11 |
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default_hp_metric: true
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| 12 |
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prefix: ''
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| 13 |
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sub_dir: null
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| 14 |
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logdir: null
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| 15 |
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comment: ''
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| 16 |
+
purge_step: null
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| 17 |
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max_queue: 10
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| 18 |
+
flush_secs: 120
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| 19 |
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filename_suffix: ''
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| 20 |
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write_to_disk: true
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| 21 |
+
comet_config:
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| 22 |
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disabled: true
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| 23 |
+
enable_checkpointing: true
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| 24 |
+
callbacks:
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| 25 |
+
- class_path: pytorch_lightning.callbacks.LearningRateMonitor
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| 26 |
+
init_args:
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| 27 |
+
logging_interval: null
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| 28 |
+
log_momentum: false
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| 29 |
+
- class_path: pytorch_lightning.callbacks.ModelSummary
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| 30 |
+
init_args:
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| 31 |
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max_depth: 2
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| 32 |
+
- class_path: pytorch_lightning.callbacks.ModelCheckpoint
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| 33 |
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init_args:
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| 34 |
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dirpath: null
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| 35 |
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filename: vocos_checkpoint_{epoch}_{step}_{val_loss:.4f}
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| 36 |
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monitor: val_loss
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| 37 |
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verbose: false
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| 38 |
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save_last: true
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| 39 |
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save_top_k: -1
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| 40 |
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save_weights_only: false
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| 41 |
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mode: min
|
| 42 |
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auto_insert_metric_name: true
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| 43 |
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every_n_train_steps: 1000
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| 44 |
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train_time_interval: null
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| 45 |
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every_n_epochs: null
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| 46 |
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save_on_train_epoch_end: null
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| 47 |
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- class_path: vocos.helpers.GradNormCallback
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| 48 |
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default_root_dir: null
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| 49 |
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gradient_clip_val: null
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| 50 |
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gradient_clip_algorithm: null
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| 51 |
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num_nodes: 8
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| 52 |
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num_processes: null
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| 53 |
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devices: '8'
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| 54 |
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gpus: null
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| 55 |
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auto_select_gpus: false
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| 56 |
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tpu_cores: null
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| 57 |
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ipus: null
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| 58 |
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enable_progress_bar: true
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| 59 |
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overfit_batches: 0.0
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| 60 |
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track_grad_norm: -1
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| 61 |
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check_val_every_n_epoch: 1
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| 62 |
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fast_dev_run: false
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| 63 |
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accumulate_grad_batches: null
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| 64 |
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max_epochs: null
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| 65 |
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min_epochs: null
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| 66 |
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max_steps: 1000000
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| 67 |
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min_steps: null
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| 68 |
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max_time: null
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| 69 |
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limit_train_batches: null
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| 70 |
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limit_val_batches: 100
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| 71 |
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limit_test_batches: null
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| 72 |
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limit_predict_batches: null
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| 73 |
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val_check_interval: null
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| 74 |
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log_every_n_steps: 50
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| 75 |
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accelerator: gpu
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| 76 |
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strategy: ddp
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| 77 |
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sync_batchnorm: false
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| 78 |
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precision: 32
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| 79 |
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enable_model_summary: true
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| 80 |
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num_sanity_val_steps: 2
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| 81 |
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resume_from_checkpoint: logs/wavlmvae-mimo-librispeech-stage2_kl1e-4_ae_300mdeco_6k/first/version_2/checkpoints/vocos_checkpoint_epoch=11_step=70000_val_loss=3.5162.ckpt
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| 82 |
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profiler: null
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| 83 |
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benchmark: null
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| 84 |
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deterministic: null
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| 85 |
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reload_dataloaders_every_n_epochs: 0
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| 86 |
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auto_lr_find: false
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| 87 |
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replace_sampler_ddp: true
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| 88 |
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detect_anomaly: false
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| 89 |
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auto_scale_batch_size: false
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| 90 |
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plugins: null
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| 91 |
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amp_backend: native
|
| 92 |
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amp_level: null
|
| 93 |
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move_metrics_to_cpu: false
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| 94 |
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multiple_trainloader_mode: max_size_cycle
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| 95 |
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inference_mode: true
|
| 96 |
+
model:
|
| 97 |
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class_path: vocos.experiment.MiMoWavLMVAEExp
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| 98 |
+
init_args:
|
| 99 |
+
feature_extractor:
|
| 100 |
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class_path: vocos.feature_extractors.WavLMVAEFeatures
|
| 101 |
+
init_args:
|
| 102 |
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model_id: ckpts/wavlm-large
|
| 103 |
+
layer_idx: -1
|
| 104 |
+
freeze_model: true
|
| 105 |
+
latent_dim: 128
|
| 106 |
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stage: 2
|
| 107 |
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stage1_ckpt_path: logs/wavlmvae-mimo-librispeech-stage1_kl1e-4_ae_300mdeco_6k/first/version_2/checkpoints/vocos_checkpoint_epoch=41_step=138000_val_loss=6.2627.ckpt
|
| 108 |
+
use_vae: false
|
| 109 |
+
use_sigma_vae: false
|
| 110 |
+
use_temporal_downsampling: false
|
| 111 |
+
apply_mask: false
|
| 112 |
+
mask_time_prob: 0.15
|
| 113 |
+
mask_time_length: 10
|
| 114 |
+
backbone:
|
| 115 |
+
class_path: vocos.models.MiMoBackbone
|
| 116 |
+
init_args:
|
| 117 |
+
d_model: 1024
|
| 118 |
+
decoder_attention_heads: 16
|
| 119 |
+
decoder_ffn_dim: 4096
|
| 120 |
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sampling_rate: 16000
|
| 121 |
+
hop_length: 160
|
| 122 |
+
window_size: 640
|
| 123 |
+
nfft: 640
|
| 124 |
+
upsample: true
|
| 125 |
+
latent_dim: 128
|
| 126 |
+
decoder_layers: 24
|
| 127 |
+
head: null
|
| 128 |
+
sample_rate: 16000
|
| 129 |
+
initial_learning_rate: 0.0001
|
| 130 |
+
num_warmup_steps: 5000
|
| 131 |
+
mel_loss_coeff: 4.5
|
| 132 |
+
mrd_loss_coeff: 1.0
|
| 133 |
+
kl_loss_coeff: 0.0001
|
| 134 |
+
sr_loss_coeff: 1.0
|
| 135 |
+
gan_loss_coeff: 0.1
|
| 136 |
+
pretrain_mel_steps: 0
|
| 137 |
+
decay_mel_coeff: false
|
| 138 |
+
evaluate_utmos: true
|
| 139 |
+
evaluate_pesq: true
|
| 140 |
+
evaluate_periodicty: false
|
| 141 |
+
evaluate_stoi: false
|
| 142 |
+
evaluate_pesq_wb: false
|
| 143 |
+
evaluate_sim: true
|
| 144 |
+
data:
|
| 145 |
+
class_path: vocos.dataset.VocosEmiliaDataModule
|
| 146 |
+
init_args:
|
| 147 |
+
train_params:
|
| 148 |
+
filelist_path: data/librispeech_train_librilight_small_meidum_6k
|
| 149 |
+
sampling_rate: 16000
|
| 150 |
+
num_samples: 160000
|
| 151 |
+
batch_size: 8
|
| 152 |
+
num_workers: 8
|
| 153 |
+
val_params:
|
| 154 |
+
filelist_path: data/librispeech_test_clean
|
| 155 |
+
sampling_rate: 16000
|
| 156 |
+
num_samples: 160000
|
| 157 |
+
batch_size: 8
|
| 158 |
+
num_workers: 8
|
| 159 |
+
optimizer: null
|
| 160 |
+
lr_scheduler: null
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WavCube-pro/hparams.yaml
ADDED
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@@ -0,0 +1,16 @@
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| 1 |
+
sample_rate: 16000
|
| 2 |
+
initial_learning_rate: 0.0001
|
| 3 |
+
num_warmup_steps: 5000
|
| 4 |
+
mel_loss_coeff: 4.5
|
| 5 |
+
mrd_loss_coeff: 1.0
|
| 6 |
+
pretrain_mel_steps: 0
|
| 7 |
+
decay_mel_coeff: false
|
| 8 |
+
evaluate_utmos: true
|
| 9 |
+
evaluate_pesq: true
|
| 10 |
+
evaluate_periodicty: false
|
| 11 |
+
evaluate_stoi: false
|
| 12 |
+
evaluate_pesq_wb: false
|
| 13 |
+
evaluate_sim: true
|
| 14 |
+
kl_loss_coeff: 0.0001
|
| 15 |
+
sr_loss_coeff: 1.0
|
| 16 |
+
gan_loss_coeff: 0.1
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WavCube/checkpoints/vocos_checkpoint_epoch=177_step=195000_val_loss=3.3080.ckpt
ADDED
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@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba70c7d19271036b1a2cc5efaba3470fe81eced7b9cff3803515032831f5d609
|
| 3 |
+
size 11574970721
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WavCube/config.yaml
ADDED
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@@ -0,0 +1,157 @@
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|
| 1 |
+
# pytorch_lightning==1.8.6
|
| 2 |
+
seed_everything: 4444
|
| 3 |
+
trainer:
|
| 4 |
+
logger:
|
| 5 |
+
class_path: pytorch_lightning.loggers.TensorBoardLogger
|
| 6 |
+
init_args:
|
| 7 |
+
save_dir: logs/wavlmvae-mimo-librispeech-stage2_kl1e-4_ae_300mdeco
|
| 8 |
+
name: first
|
| 9 |
+
version: null
|
| 10 |
+
log_graph: false
|
| 11 |
+
default_hp_metric: true
|
| 12 |
+
prefix: ''
|
| 13 |
+
sub_dir: null
|
| 14 |
+
logdir: null
|
| 15 |
+
comment: ''
|
| 16 |
+
purge_step: null
|
| 17 |
+
max_queue: 10
|
| 18 |
+
flush_secs: 120
|
| 19 |
+
filename_suffix: ''
|
| 20 |
+
write_to_disk: true
|
| 21 |
+
comet_config:
|
| 22 |
+
disabled: true
|
| 23 |
+
enable_checkpointing: true
|
| 24 |
+
callbacks:
|
| 25 |
+
- class_path: pytorch_lightning.callbacks.LearningRateMonitor
|
| 26 |
+
init_args:
|
| 27 |
+
logging_interval: null
|
| 28 |
+
log_momentum: false
|
| 29 |
+
- class_path: pytorch_lightning.callbacks.ModelSummary
|
| 30 |
+
init_args:
|
| 31 |
+
max_depth: 2
|
| 32 |
+
- class_path: pytorch_lightning.callbacks.ModelCheckpoint
|
| 33 |
+
init_args:
|
| 34 |
+
dirpath: null
|
| 35 |
+
filename: vocos_checkpoint_{epoch}_{step}_{val_loss:.4f}
|
| 36 |
+
monitor: val_loss
|
| 37 |
+
verbose: false
|
| 38 |
+
save_last: true
|
| 39 |
+
save_top_k: -1
|
| 40 |
+
save_weights_only: false
|
| 41 |
+
mode: min
|
| 42 |
+
auto_insert_metric_name: true
|
| 43 |
+
every_n_train_steps: 5000
|
| 44 |
+
train_time_interval: null
|
| 45 |
+
every_n_epochs: null
|
| 46 |
+
save_on_train_epoch_end: null
|
| 47 |
+
- class_path: vocos.helpers.GradNormCallback
|
| 48 |
+
default_root_dir: null
|
| 49 |
+
gradient_clip_val: null
|
| 50 |
+
gradient_clip_algorithm: null
|
| 51 |
+
num_nodes: 8
|
| 52 |
+
num_processes: null
|
| 53 |
+
devices: '8'
|
| 54 |
+
gpus: null
|
| 55 |
+
auto_select_gpus: false
|
| 56 |
+
tpu_cores: null
|
| 57 |
+
ipus: null
|
| 58 |
+
enable_progress_bar: true
|
| 59 |
+
overfit_batches: 0.0
|
| 60 |
+
track_grad_norm: -1
|
| 61 |
+
check_val_every_n_epoch: 1
|
| 62 |
+
fast_dev_run: false
|
| 63 |
+
accumulate_grad_batches: null
|
| 64 |
+
max_epochs: null
|
| 65 |
+
min_epochs: null
|
| 66 |
+
max_steps: 1000000
|
| 67 |
+
min_steps: null
|
| 68 |
+
max_time: null
|
| 69 |
+
limit_train_batches: null
|
| 70 |
+
limit_val_batches: 100
|
| 71 |
+
limit_test_batches: null
|
| 72 |
+
limit_predict_batches: null
|
| 73 |
+
val_check_interval: null
|
| 74 |
+
log_every_n_steps: 50
|
| 75 |
+
accelerator: gpu
|
| 76 |
+
strategy: ddp
|
| 77 |
+
sync_batchnorm: false
|
| 78 |
+
precision: 32
|
| 79 |
+
enable_model_summary: true
|
| 80 |
+
num_sanity_val_steps: 2
|
| 81 |
+
resume_from_checkpoint: null
|
| 82 |
+
profiler: null
|
| 83 |
+
benchmark: null
|
| 84 |
+
deterministic: null
|
| 85 |
+
reload_dataloaders_every_n_epochs: 0
|
| 86 |
+
auto_lr_find: false
|
| 87 |
+
replace_sampler_ddp: true
|
| 88 |
+
detect_anomaly: false
|
| 89 |
+
auto_scale_batch_size: false
|
| 90 |
+
plugins: null
|
| 91 |
+
amp_backend: native
|
| 92 |
+
amp_level: null
|
| 93 |
+
move_metrics_to_cpu: false
|
| 94 |
+
multiple_trainloader_mode: max_size_cycle
|
| 95 |
+
inference_mode: true
|
| 96 |
+
model:
|
| 97 |
+
class_path: vocos.experiment.MiMoWavLMVAEExp
|
| 98 |
+
init_args:
|
| 99 |
+
feature_extractor:
|
| 100 |
+
class_path: vocos.feature_extractors.WavLMVAEFeatures
|
| 101 |
+
init_args:
|
| 102 |
+
model_id: ckpts/wavlm-large
|
| 103 |
+
layer_idx: -1
|
| 104 |
+
freeze_model: true
|
| 105 |
+
latent_dim: 128
|
| 106 |
+
stage: 2
|
| 107 |
+
stage1_ckpt_path: logs/wavlmvae-mimo-librispeech-stage1_kl1e-4_ae_300mdeco/first/version_2/checkpoints/vocos_checkpoint_epoch=219_step=138000_val_loss=6.6572.ckpt
|
| 108 |
+
use_vae: false
|
| 109 |
+
use_sigma_vae: false
|
| 110 |
+
use_temporal_downsampling: false
|
| 111 |
+
backbone:
|
| 112 |
+
class_path: vocos.models.MiMoBackbone
|
| 113 |
+
init_args:
|
| 114 |
+
d_model: 1024
|
| 115 |
+
decoder_attention_heads: 16
|
| 116 |
+
decoder_ffn_dim: 4096
|
| 117 |
+
sampling_rate: 16000
|
| 118 |
+
hop_length: 160
|
| 119 |
+
window_size: 640
|
| 120 |
+
nfft: 640
|
| 121 |
+
upsample: true
|
| 122 |
+
latent_dim: 128
|
| 123 |
+
decoder_layers: 24
|
| 124 |
+
head: null
|
| 125 |
+
sample_rate: 16000
|
| 126 |
+
initial_learning_rate: 0.0001
|
| 127 |
+
num_warmup_steps: 5000
|
| 128 |
+
mel_loss_coeff: 4.5
|
| 129 |
+
mrd_loss_coeff: 1.0
|
| 130 |
+
kl_loss_coeff: 0.0001
|
| 131 |
+
sr_loss_coeff: 1.0
|
| 132 |
+
gan_loss_coeff: 0.1
|
| 133 |
+
pretrain_mel_steps: 0
|
| 134 |
+
decay_mel_coeff: false
|
| 135 |
+
evaluate_utmos: true
|
| 136 |
+
evaluate_pesq: true
|
| 137 |
+
evaluate_periodicty: false
|
| 138 |
+
evaluate_stoi: false
|
| 139 |
+
evaluate_pesq_wb: false
|
| 140 |
+
evaluate_sim: true
|
| 141 |
+
data:
|
| 142 |
+
class_path: vocos.dataset.VocosDataModule
|
| 143 |
+
init_args:
|
| 144 |
+
train_params:
|
| 145 |
+
filelist_path: data/librispeech_train
|
| 146 |
+
sampling_rate: 16000
|
| 147 |
+
num_samples: 160000
|
| 148 |
+
batch_size: 8
|
| 149 |
+
num_workers: 8
|
| 150 |
+
val_params:
|
| 151 |
+
filelist_path: data/librispeech_test_clean
|
| 152 |
+
sampling_rate: 16000
|
| 153 |
+
num_samples: 160000
|
| 154 |
+
batch_size: 8
|
| 155 |
+
num_workers: 8
|
| 156 |
+
optimizer: null
|
| 157 |
+
lr_scheduler: null
|
WavCube/hparams.yaml
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_rate: 16000
|
| 2 |
+
initial_learning_rate: 0.0001
|
| 3 |
+
num_warmup_steps: 5000
|
| 4 |
+
mel_loss_coeff: 4.5
|
| 5 |
+
mrd_loss_coeff: 1.0
|
| 6 |
+
pretrain_mel_steps: 0
|
| 7 |
+
decay_mel_coeff: false
|
| 8 |
+
evaluate_utmos: true
|
| 9 |
+
evaluate_pesq: true
|
| 10 |
+
evaluate_periodicty: false
|
| 11 |
+
evaluate_stoi: false
|
| 12 |
+
evaluate_pesq_wb: false
|
| 13 |
+
evaluate_sim: true
|
| 14 |
+
kl_loss_coeff: 0.0001
|
| 15 |
+
sr_loss_coeff: 1.0
|
| 16 |
+
gan_loss_coeff: 0.1
|