Downloads · 30 days
27
18% of all-time downloads
speecht5_finetuned_librispeech_custom_8
andymcgullen/speecht5_finetuned_librispeech_custom_8
speecht5_finetuned_librispeech_custom_8 is a text-to-audio model from andymcgullen. 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. --
All-time downloads
147
Public
Parameters
144M
6.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors578 MB · 100%
At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Dec 7, 2025
- Updated
- Dec 10, 2025
- SHA
- f5ab1058
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_librispeech_custom_8
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: 0.3861
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 250
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4439 | 12.1988 | 500 | 0.4007 |
| 0.4263 | 24.3975 | 1000 | 0.3916 |
| 0.4178 | 36.5963 | 1500 | 0.3863 |
| 0.4127 | 48.7950 | 2000 | 0.3861 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Dec 7, 2025
- Updated
- Dec 10, 2025