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src/f5_tts/configs/F5TTS_Small.yaml

@@ -10,7 +10,7 @@ datasets:
   num_workers: 16
 
 optim:
-  epochs: 11
+  epochs: 11 # only suitable for Emilia, if you want to train it on LibriTTS, set epoch 686
   learning_rate: 7.5e-5
   num_warmup_updates: 20000  # warmup updates
   grad_accumulation_steps: 1  # note: updates = steps / grad_accumulation_steps
@@ -49,4 +49,4 @@ ckpts:
   save_per_updates: 50000  # save checkpoint per updates
   keep_last_n_checkpoints: -1  # -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}
+  save_dir: ckpts/${model.name}_${model.mel_spec.mel_spec_type}_${model.tokenizer}_${datasets.name}