Initialize clean base with manassehzw Phase 1 Shona Male F5-TTS weights

config.yaml

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+exp_name: shona_f5_tts-m150-n150-full-lr1em5-ep30-April-26-2026_02+51PM-b60c1d4
+output_dir: /root/project/runs/shona_f5_tts/shona_f5_tts-m150-n150-full-lr1em5-ep30-April-26-2026_02+51PM-b60c1d4/checkpoints
+seed: 42
+model:
+  type: F5TTS_v1_Base
+  pretrained: SWivid/F5-TTS
+  pretrained_ckpt: F5TTS_v1_Base/model_1250000.safetensors
+  vocab_path: /root/project/datasets/sna-manasseh-150-raw/f5_prepared/default/vocab.txt
+  use_lora: false
+  dim: 1024
+  depth: 22
+  heads: 16
+  ff_mult: 2
+  text_dim: 512
+  conv_layers: 4
+dataset:
+  name: shona_f5_tts-m150-n150-full-lr1em5-ep30-April-26-2026_02+51PM-b60c1d4
+  dir: /root/project/datasets/sna-manasseh-150-raw/f5_prepared/default
+  metadata: metadata.csv
+  sample_rate: 24000
+training:
+  epochs: 30
+  learning_rate: 1.0e-05
+  weight_decay: 0.01
+  max_grad_norm: 1.0
+  grad_accumulation_steps: 1
+  batch_size_per_gpu: 1600
+  batch_size_type: frame
+  max_samples: 64
+  num_warmup_updates: 500
+  lr_scheduler: cosine
+  use_ema: true
+  ema_decay: 0.9999
+  mixed_precision: fp16
+  num_workers: 4
+checkpoint:
+  save_per_updates: 66
+  last_per_steps: 10000
+  keep_last_n: 5
+logging:
+  type: wandb
+  log_per_updates: 50
+  wandb_project: f5-tts-shona-finetuning
+  wandb_run_name: shona_f5_tts-m150-n150-full-lr1em5-ep30-April-26-2026_02+51PM-b60c1d4