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speecht5_tts-finetuned-voxpopuli
wilson-wei/speecht5_tts-finetuned-voxpopuli
speecht5_tts-finetuned-voxpopuli is a text-to-speech model from wilson-wei. 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
- Aug 2, 2023
- Updated
- Aug 3, 2023
- SHA
- 799f6386
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_tts-finetuned-voxpopuli
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: 0.4575
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 |
|---|---|---|---|
| 0.5204 | 4.3 | 1000 | 0.4779 |
| 0.4952 | 8.61 | 2000 | 0.4651 |
| 0.4942 | 12.91 | 3000 | 0.4614 |
| 0.4928 | 17.21 | 4000 | 0.4575 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.0
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- nl
- Created
- Aug 2, 2023
- Updated
- Aug 3, 2023