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speecht5_finetuned_krio
Geneline-X/speecht5_finetuned_krio
speecht5_finetuned_krio is a text-to-audio model from Geneline-X. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025
- SHA
- 12769a90
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
speecht5_finetuned_krio
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4377
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- training_steps: 12000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4893 | 14.9323 | 1000 | 0.4632 |
| 0.4704 | 29.8571 | 2000 | 0.4480 |
| 0.4623 | 44.7820 | 3000 | 0.4417 |
| 0.4545 | 59.7068 | 4000 | 0.4386 |
| 0.4491 | 74.6316 | 5000 | 0.4380 |
| 0.448 | 89.5564 | 6000 | 0.4364 |
| 0.4445 | 104.4812 | 7000 | 0.4352 |
| 0.4425 | 119.4060 | 8000 | 0.4355 |
| 0.4443 | 134.3308 | 9000 | 0.4355 |
| 0.4411 | 149.2556 | 10000 | 0.4366 |
| 0.439 | 164.1805 | 11000 | 0.4360 |
| 0.4425 | 179.1053 | 12000 | 0.4377 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025