| # Orpheus TTS — PT-BR LoRA Fine-tuning (Unsloth) |
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| LoRA fine-tuning of **Orpheus 3B** ([canopylabs/3b-es_it-ft-research_release](https://huggingface.co/canopylabs/3b-es_it-ft-research_release)) via [Unsloth](https://github.com/unslothai/unsloth), run `artoodtoo_ft_e3`. Training continued from the PT-BR adapter **[ArtooDtoo/Orpheus_PTBR_FT_Unsloth_Chk-1800](https://huggingface.co/ArtooDtoo/Orpheus_PTBR_FT_Unsloth_Chk-1800)**. Adapters and reports at the root; `graficos/` with curves and timing; `inferencias/` with evaluation audio. |
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| ## Checkpoints (LoRA adapters) |
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| | Path | Description | |
| |---|---| |
| | `final_adapter/` | Final adapter (372 MB) — **use this for inference** | |
| | `checkpoint-3351/` | Adapter at step 3,351 + tokenizer + trainer state | |
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| ## Training |
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| | Parameter | Value | |
| |---|---| |
| | Base model | canopylabs/3b-es_it-ft-research_release | |
| | Starting adapter | ArtooDtoo/Orpheus_PTBR_FT_Unsloth_Chk-1800 | |
| | Train / validation samples | 13,404 / 273 | |
| | Steps | 3,351 (1 epoch) | |
| | Training time | ~21.4 h (~23 s/step) | |
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| Reports in `training_report.txt` and `training_stats.json`. |
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| ## Files |
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| - `graficos/` — `loss_curve*.png`, `losses.csv`, `epoch_times.csv`, `step_times.csv` |
| - `inferencias/` — `artoodtoo_ft_e3_epoch1_p*.wav` (end of epoch 1), `artoodtoo_ft_e3_{custom3,random3,retry_clean,retry_clean2}_p*.wav` (evaluation in 4 configurations), and the prompts used (`*prompts*.txt`) |
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| ## Usage |
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| Load the base model and apply the adapter with PEFT/Unsloth: |
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| ```python |
| from peft import PeftModel |
| model = PeftModel.from_pretrained(base_model, "OrpheusTTS/final_adapter") |
| ``` |
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| ## Citation |
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| These adapters are LoRA fine-tunes of [canopylabs/3b-es_it-ft-research_release](https://huggingface.co/canopylabs/3b-es_it-ft-research_release), continued from [ArtooDtoo/Orpheus_PTBR_FT_Unsloth_Chk-1800](https://huggingface.co/ArtooDtoo/Orpheus_PTBR_FT_Unsloth_Chk-1800). 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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