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F5TTS_v1_Base_Open_Bible_Ewe.yaml

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+hydra:
+  run:
+    dir: ckpts/${model.name}_${model.mel_spec.mel_spec_type}_${model.tokenizer}_${datasets.name}/${now:%Y-%m-%d}/${now:%H-%M-%S}
+
+datasets:
+  name: open-bible-ewe  # dataset name
+  batch_size_per_gpu: 28000  # 8 GPUs, 8 * 38400 = 307200
+  batch_size_type: frame  # frame | sample
+  max_samples: 32  # max sequences per batch if use frame-wise batch_size. we set 32 for small models, 64 for base models
+  num_workers: 4
+
+optim:
+  epochs: 627
+  learning_rate: 7.5e-5
+  num_warmup_updates: 20000  # warmup updates
+  grad_accumulation_steps: 1  # note: updates = steps / grad_accumulation_steps
+  max_grad_norm: 1.0  # gradient clipping
+  bnb_optimizer: False  # use bnb 8bit AdamW optimizer or not
+
+model:
+  name: F5TTS_v1_Base  # model name
+  tokenizer: custom  # tokenizer type
+  tokenizer_path: data/open-bible-ewe_custom/vocab.txt  # if 'custom' tokenizer, define the path want to use (should be vocab.txt)
+  backbone: DiT
+  arch:
+    dim: 1024
+    depth: 22
+    heads: 16
+    ff_mult: 2
+    text_dim: 512
+    text_mask_padding: True
+    qk_norm: null  # null | rms_norm
+    conv_layers: 4
+    pe_attn_head: null
+    attn_backend: torch  # torch | flash_attn
+    attn_mask_enabled: False
+    checkpoint_activations: False  # recompute activations and save memory for extra compute
+  mel_spec:
+    target_sample_rate: 24000
+    n_mel_channels: 100
+    hop_length: 256
+    win_length: 1024
+    n_fft: 1024
+    mel_spec_type: vocos  # vocos | bigvgan
+  vocoder:
+    is_local: False  # use local offline ckpt or not
+    local_path: null  # local vocoder path
+
+ckpts:
+  logger: wandb #| tensorboard | null
+  log_samples: True  # infer random sample per save checkpoint. wip, normal to fail with extra long samples
+  save_per_updates: 10000  # save checkpoint per updates
+  keep_last_n_checkpoints: 5  # -1 to keep all, 0 to not save intermediate, > 0 to keep last N checkpoints
+  last_per_updates: 5000  # save last checkpoint per updates
+  save_dir: ckpts/${model.name}_${model.mel_spec.mel_spec_type}_${model.tokenizer}_${datasets.name}

model_last.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f9551dee25e23db90561f8513632b57a82915412fb519e4d1adc680f0dae4b5c
+size 5374368419

vocab.txt

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+ 
+!
+"
+'
+(
+)
+,
+-
+.
+0
+1
+2
+3
+4
+5
+6
+7
+8
+9
+:
+?
+A
+B
+D
+E
+F
+G
+H
+I
+K
+L
+M
+N
+O
+P
+Q
+R
+S
+T
+U
+V
+W
+X
+Y
+Z
+[
+]
+a
+b
+d
+e
+f
+g
+h
+i
+k
+l
+m
+n
+o
+p
+r
+s
+t
+u
+v
+w
+x
+y
+z
+À
+È
+à
+á
+ã
+è
+é
+ì
+í
+ò
+ó
+õ
+ĩ
+Ŋ
+ŋ
+ũ
+Ɔ
+Ɖ
+Ɛ
+Ƒ
+ƒ
+Ɣ
+Ʋ
+ɔ
+ɖ
+ɛ
+ɣ
+ʋ
+́
+̃
+ב
+ג
+ד
+ה
+ו
+ז
+ח
+ט
+י
+כ
+ל
+מ
+נ
+ס
+ע
+פ
+צ
+ק
+ש
+ת
+Ẽ
+ẽ
+–
+—
+…