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config.yaml

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+dataset:
+  target_sample_rate: 24000
+  n_mel_channels: 100
+  hop_length: 256
+  win_length: 1024
+  n_fft: 1024
+  mel_spec_type: vocos
+  tokenizer: pinyin
+  tokenizer_path: data/HFDatasetNew_pinyin/vocab.txt
+  name: /apdcephfs_cq10/share_1297902/user/nenali/project/chukewang/data/Emilia-Dataset
+  type: HFDatasetNew
+  cache_dir: /apdcephfs_cq10/share_1297902/user/nenali/project/chukewang/data/Emilia-Dataset-Cache
+  duration_path: scripts/duration.json
+  valid_text_path: scripts/valid.json
+training:
+  exp_name: F5TTS_PPG_ONLY
+  learning_rate: 7.5e-05
+  batch_size_per_gpu: 4096
+  batch_size_type: frame
+  max_samples: 64
+  grad_accumulation_steps: 4
+  max_grad_norm: 1.0
+  epochs: 11
+  num_warmup_updates: 20000
+  save_per_updates: 20000
+  last_per_steps: 5000
+  checkpoint_path: ckpts/ppg_only_cq
+  combined_cond_drop_prob:
+  - 1
+  - 0
+  - 0
+  - 0
+  repeat_space_token: false
+  mix_condition: false
+model:
+  wandb_resume_id: None
+  cls: DiT
+  cfg:
+    DiT:
+      dim: 1024
+      depth: 22
+      heads: 16
+      ff_mult: 2
+      text_dim: 512
+      conv_layers: 4
+    UNetT:
+      dim: 1024
+      depth: 24
+      heads: 16
+      ff_mult: 4
+  ppg_input: true
+  ppg:
+    model_path: pretrained_models/ppg/33.pt
+    config: pretrained_models/ppg/train.yaml
+    frame_length: 20
+    mel_frame_shift: 10
+    dim: 256
+    output_type: map
+    map:
+      map_mix_ratio: 1.0
+      global_phn_center_path: pretrained_models/ppg/7layer_20ms_33pt/phn_center.npy
+      para_softmax_path: pretrained_models/ppg/7layer_20ms_33pt/ce_layer.pkl

model_last.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6be869e82a9d23a3130496218a37669981bb6adc1473c8f0d9b242c3f5cdc7cb
+size 5399439861