| # F5-TTS — PT-BR Fine-tuning (Paraíba Accent) |
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| 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. |
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| ## Training runs |
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| | Folder | Description | Checkpoints | |
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| | `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` | |
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| ## Hyperparameters (filtered) |
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| | Parameter | Value | |
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| | 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) | |
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| Full configuration in each run's `setting.json` and `run_config.json`. |
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| ## Files (per training run) |
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| - `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` |
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| ## Usage |
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| Load with the [F5-TTS](https://github.com/SWivid/F5-TTS) inference pipeline, using the custom vocab referenced in `setting.json`. |
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| ## Citation |
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| 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: |
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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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