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speecht5-ngiemboon
mimba/speecht5-ngiemboon
speecht5-ngiemboon is a text-to-audio model from mimba. 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
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- 1ff8e04c
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-ngiemboon
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5604
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5579 | 0.7252 | 500 | 0.7537 |
| 1.3604 | 1.4496 | 1000 | 0.6883 |
| 1.2814 | 2.1740 | 1500 | 0.6343 |
| 1.2308 | 2.8992 | 2000 | 0.6164 |
| 1.2133 | 3.6236 | 2500 | 0.6057 |
| 1.1829 | 4.3481 | 3000 | 0.5962 |
| 1.1787 | 5.0725 | 3500 | 0.5967 |
| 1.1692 | 5.7977 | 4000 | 0.5852 |
| 1.1472 | 6.5221 | 4500 | 0.5811 |
| 1.1374 | 7.2466 | 5000 | 0.5768 |
| 1.1643 | 7.9717 | 5500 | 0.5711 |
| 1.1385 | 8.6962 | 6000 | 0.5713 |
| 1.1334 | 9.4206 | 6500 | 0.5670 |
| 1.1564 | 10.1450 | 7000 | 0.5684 |
| 1.1158 | 10.8702 | 7500 | 0.5622 |
| 1.1158 | 11.5946 | 8000 | 0.5628 |
| 1.1149 | 12.3191 | 8500 | 0.5611 |
| 1.1088 | 13.0435 | 9000 | 0.5597 |
| 1.1191 | 13.7687 | 9500 | 0.5615 |
| 1.1097 | 14.4931 | 10000 | 0.5604 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu130
- Datasets 2.18.0
- Tokenizers 0.22.2
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026