Downloads · 30 days
9
30% of all-time downloads
speecht5_finetuned_multilingual_librispeech_spanish
grs32/speecht5_finetuned_multilingual_librispeech_spanish
speecht5_finetuned_multilingual_librispeech_spanish is a text-to-audio model from grs32. 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
30
Public
Parameters
144M
2.3 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
- Oct 27, 2025
- Updated
- Oct 27, 2025
- SHA
- 50da00d1
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_multilingual_librispeech_spanish
This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/multilingual_librispeech dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3992
- eval_runtime: 15.8528
- eval_samples_per_second: 14.824
- eval_steps_per_second: 7.443
- epoch: 45.4554
- step: 3000
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_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
- training_steps: 4000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Oct 27, 2025
- Updated
- Oct 27, 2025