# F5-TTS — PT-BR Fine-tuning (Paraíba Accent)

Fine-tuning of **F5-TTS** on a Brazilian Portuguese voice corpus (~41k segments), in three training runs. The fine-tuned runs started from the **PT-BR checkpoint by firstpixel** ([firstpixel/F5-TTS-pt-br](https://huggingface.co/firstpixel/F5-TTS-pt-br), `firstpixelptbr/model_last.pt`). Each training folder contains the checkpoint and configs at its root, `graficos/` with curves and metrics, and `inferencias/` with evaluation audio.

## Training runs

| Folder | Description | Checkpoints |
|---|---|---|
| `all/` | Full dataset, fine-tuned from firstpixel PT-BR | `model_last.pt` (step 443410) |
| `filtered/` | Quality-filtered dataset, fine-tuned from firstpixel PT-BR | `model_last.pt` (step 105852) |
| `filtered_zero_experiment/` | Trained from scratch (no pretrained weights), filtered dataset | `model_last.pt`, `model_2646300.pt` |

## Hyperparameters (filtered)

| Parameter | Value |
|---|---|
| Starting checkpoint | firstpixel PT-BR (F5TTS_Base arch, finetune) |
| Learning rate | 1e-05 |
| Batch size | 1000 frames/GPU |
| Epochs | 6 |
| Training samples | 41,014 |
| Tokenizer | custom (own vocab) |

Full configuration in each run's `setting.json` and `run_config.json`.

## Files (per training run)

- `model_*.pt` — checkpoint
- `setting.json`, `run_config.json`, `statistics_summary.json` — training configuration and statistics
- `graficos/` — loss curves (PNG) and per-step/per-epoch metrics (CSV)
- `inferencias/` — `sample_step_*_{ref,gen}.wav` (pairs generated during training), `*frase*.wav`/`*line*.wav` (per-checkpoint evaluation), and `inferencias_*.csv`

## Usage

Load with the [F5-TTS](https://github.com/SWivid/F5-TTS) inference pipeline, using the custom vocab referenced in `setting.json`.

## Citation

These checkpoints are fine-tunes of [firstpixel/F5-TTS-pt-br](https://huggingface.co/firstpixel/F5-TTS-pt-br) (except the from-scratch run). If you use them, please cite:

> 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.