| # XTTS v2 — PT-BR Fine-tuning (Paraíba Accent) |
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| GPT fine-tuning of **XTTS v2** ([coqui/XTTS-v2](https://huggingface.co/coqui/XTTS-v2)) on a Brazilian Portuguese voice corpus (April 2026). Checkpoints and configs at the root; `graficos/` with curves and metrics; `inferencias/` with evaluation audio. |
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| ## Checkpoints |
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| | File | Step | |
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| | `checkpoint_8868.pth` | 8,868 (1 epoch) | |
| | `checkpoint_17736.pth` | 17,736 | |
| | `checkpoint_26604.pth` | 26,604 | |
| | `checkpoint_35472.pth` | 35,472 | |
| | `checkpoint_44340.pth` | 44,340 | |
| | `best_model_53205.pth` | 53,205 (best eval loss) | |
| | `best_model.pth` | copy of the best model | |
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| `config.json` holds the full training configuration; `experiment_config.json` and `relatorio_experimento.md` document the experiment. |
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| ## Training environment |
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| - GPU: NVIDIA GeForce RTX 4060 Ti 16 GB |
| - PyTorch 2.5.1 + CUDA 12.1, Python 3.10, Windows 10 |
| - Details in `machine_report_thesis.md` |
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| ## Files |
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| - `*.pth`, `config.json`, `experiment_config.json` — checkpoints and configs |
| - `relatorio_experimento.md`, `training_statistics.json` — training reports |
| - `graficos/` — loss and training-time curves (PNG + CSV/JSON) |
| - `inferencias/` — `xtts_model_*_frase*.wav` (5 phrases per checkpoint, incl. `xtts_model_original_*` for comparison against the base model), `infer_finetuned_*` × `ref_*` pairs, and manifests |
| - `metadata_train.csv`, `metadata_eval.csv` — dataset manifests |
| - `xtts_finetune_paraiba_experiment.py` — experiment script |
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| ## Usage |
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| Load with [Coqui TTS](https://github.com/coqui-ai/TTS) (`Xtts.init_from_config` + `load_checkpoint`). The original XTTS v2 support files (dvae, vocab, etc.) are not included — download them from the official Coqui repository. |
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| **License:** derived from XTTS v2, subject to the [Coqui Public Model License](https://coqui.ai/cpml) (non-commercial use). |
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| ## Citation |
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| These checkpoints are fine-tunes of [coqui/XTTS-v2](https://huggingface.co/coqui/XTTS-v2). If you use them, please cite: |
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| > DINIZ, Thomaz. **Incorporando regionalismos e sotaques em modelos de síntese de fala**. 2026. Dissertação (Mestrado em Ciência da Computação) — Universidade Federal de Campina Grande, Campina Grande, 2026. |
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