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fined-tuned-voxpopuli
dvshah13/fined-tuned-voxpopuli
fined-tuned-voxpopuli is a text-to-speech model from dvshah13. Use it when you need text read aloud. 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-Speech
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Dec 15, 2023
- Updated
- Dec 15, 2023
- SHA
- 9808ccc6
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 spanish Speaker
This model is a fine-tuned version of microsoft/speecht5_tts on the Vox Populi es dataset. It achieves the following results on the evaluation set:
- Loss: 0.4448
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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5134 | 4.32 | 1000 | 0.4636 |
| 0.4907 | 8.64 | 2000 | 0.4527 |
| 0.4814 | 12.97 | 3000 | 0.4459 |
| 0.4777 | 17.29 | 4000 | 0.4448 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- es
- Created
- Dec 15, 2023
- Updated
- Dec 15, 2023