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Sherlock-Holmes – AI Model by RobCaamano | AlphaNeural AI
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RobCaamano
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Sherlock-Holmes
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text-to-speech
en
coqui/XTTS-v2
finetune
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RobCaamano/Sherlock-Holmes
This model is a fine-tuned version of
XTTS-v2
on a custom dataset.
Training and evaluation data
Audio collected from
audiobook
.
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
