XTTS/experiment_config.json

{
  "stage": "prep",
  "data_root": "E:\\git\\coqui-ai-TTS\\data\\filtered",
  "audio_subdir": "wavs",
  "skip_dataset_prep": false,
  "prep_language": "pt",
  "eval_fraction": 0.15,
  "seed": 42,
  "speaker_name": "ptbr_filtered_ft",
  "epochs": 3,
  "batch_size": 2,
  "grad_acumm": 2,
  "checkpoint_every_epochs": 1,
  "save_n_checkpoints": 20,
  "max_audio_seconds": 11.6,
  "train_language": "pt",
  "locale_target": "pt-BR (Brazilian Portuguese via training data; XTTS code pt only)",
  "base_model_note": "Fine-tuning from Hugging Face coqui/XTTS-v2. Portuguese uses a single language id 'pt' (no separate pt-BR tensor). Brazilian pronunciation and wording are learned from your PT-BR audio and transcripts.",
  "repo_git_head": "2cac93ecab84eb4f79b4ac5ae21eaf0167b6db67",
  "timings_final": {
    "dataset_prep_seconds": 0.0,
    "training_gpt_wall_seconds": 15991.022,
    "training_wall_seconds": 15991.022,
    "trainer_output_path": "E:\\git\\coqui-ai-TTS\\data\\xtts-experiments\\ptbr-20260425-224952\\xtts_work\\run\\training\\GPT_XTTS_FT-April-25-2026_10+51PM-2cac93ec",
    "postprocess_wall_seconds": 0.451,
    "train_stage_total_wall_seconds": 16002.849,
    "epochs_requested": 3,
    "checkpoint_every_epochs": 1,
    "save_n_checkpoints": 20,
    "experiment_dir": "E:\\git\\coqui-ai-TTS\\data\\xtts-experiments\\ptbr-20260425-224952"
  }
}