Downloads · 30 days
15
10% of all-time downloads
speecht5_finetuned_gcr_9
EvgenyShivchenkoUIT/speecht5_finetuned_gcr_9
speecht5_finetuned_gcr_9 is a text-to-audio model from EvgenyShivchenkoUIT. 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
145
Public
Parameters
144M
5.2 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
- May 31, 2026
- Updated
- May 31, 2026
- SHA
- 3aba30bc
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. -->
TTS SpeechT5 GCR
This model is a fine-tuned version of microsoft/speecht5_tts on the GuianeseCreole dataset. It achieves the following results on the evaluation set:
- Loss: 0.4808
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- 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: 50
- training_steps: 900
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7415 | 3.4622 | 100 | 0.6316 |
| 0.6122 | 6.9244 | 200 | 0.5508 |
| 0.5293 | 10.3556 | 300 | 0.5069 |
| 0.518 | 13.8178 | 400 | 0.4891 |
| 0.4963 | 17.2489 | 500 | 0.4867 |
| 0.4953 | 20.7111 | 600 | 0.4830 |
| 0.4831 | 24.1422 | 700 | 0.4766 |
| 0.4805 | 27.6044 | 800 | 0.4797 |
| 0.475 | 31.0356 | 900 | 0.4808 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.11.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- gcr
- Created
- May 31, 2026
- Updated
- May 31, 2026