---
language:
- en
base_model:
- coqui/XTTS-v2
pipeline_tag: text-to-speech
---

# RobCaamano/Sherlock-Holmes

This model is a fine-tuned version of [XTTS-v2](https://huggingface.co/coqui/XTTS-v2) on a custom dataset.

## Training and evaluation data

Audio collected from [audiobook](https://www.youtube.com/watch?v=84VVFgGmeSA&ab_channel=JustFreeAudiobooks).

### Training hyperparameters

The following hyperparameters were used during training:

GPTArgs():
- max_conditioning_length=143677
- min_conditioning_length=66150
- max_wav_length=255995
- max_text_length=66150
- gpt_use_masking_gt_prompt_approach=True
- gpt_use_perceiver_resampler=True

GPTTrainerConfig():
- BATCH_SIZE=3
- batch_group_size=48
- GRAD_ACUMM_STEPS=84
- optimizer_params={"betas": [0.9, 0.96], "eps": 1e-8, "weight_decay": 1e-2}
- lr_scheduler_params={"milestones": [50000 * 18, 150000 * 18, 300000 * 18], "gamma": 0.5, "last_epoch": -1}

### Training results

- Train avg_loss: 0.05243
- Train avg_loss_mel_ce: 4.38085
- Train avg_loss_text_ce: 0.02336
- Validation avg_loss: 4.1927
- Validation avg_loss_mel_ce: 4.17117
- Validation avg_loss_text_ce: 0.02153
- Epoch: 1

### Framework versions

- Transformers 4.51.3
- PyTorch 2.6.0+cu126
- TorchAudio 2.6.0
- Tokenizers 0.21.1
- [TTS](https://github.com/idiap/coqui-ai-TTS)