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speecht5_finetuned_gcr_7
EvgenyShivchenkoUIT/speecht5_finetuned_gcr_7
speecht5_finetuned_gcr_7 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. --
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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
- 54050c5e
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 1aurent/speecht5_finetuned_fleurs_fr on the GuianeseCreole dataset. It achieves the following results on the evaluation set:
- Loss: 0.4341
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 |
|---|---|---|---|
| 0.5133 | 3.4622 | 100 | 0.4853 |
| 0.4938 | 6.9244 | 200 | 0.4745 |
| 0.4689 | 10.3556 | 300 | 0.4675 |
| 0.4724 | 13.8178 | 400 | 0.4584 |
| 0.4556 | 17.2489 | 500 | 0.4431 |
| 0.4516 | 20.7111 | 600 | 0.4362 |
| 0.4424 | 24.1422 | 700 | 0.4316 |
| 0.4405 | 27.6044 | 800 | 0.4317 |
| 0.4367 | 31.0356 | 900 | 0.4341 |
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