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speecht5_finetuned_voxpopuli_nl
FredDYyy/speecht5_finetuned_voxpopuli_nl
speecht5_finetuned_voxpopuli_nl is a text-to-audio model from FredDYyy. 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 27, 2024
- Updated
- Apr 27, 2024
- SHA
- fefd476e
Base models
Datasets
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 nl - FredDYyy
This model is a fine-tuned version of microsoft/speecht5_tts on the Voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4734
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|
| 0.5332 | 5.66 | 500 | 0.4933 |
| 0.5219 | 11.32 | 1000 | 0.4798 |
| 0.5078 | 16.97 | 1500 | 0.4745 |
| 0.4991 | 22.63 | 2000 | 0.4734 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- nl
- Created
- Apr 27, 2024
- Updated
- Apr 27, 2024