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speecht5_tts_commonvoice_nl
jjyaoao/speecht5_tts_commonvoice_nl
speecht5_tts_commonvoice_nl is a text-to-speech model from jjyaoao. 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
- Jul 22, 2023
- Updated
- Jul 22, 2023
- SHA
- 50ce7671
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 English
This model is a fine-tuned version of microsoft/speecht5_tts on the commonvoice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4418625831604004
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5189 | 1.09 | 1000 | 0.47117307782173157 |
| 0.4989 | 2.2 | 2000 | 0.45266708731651306 |
| 0.4905 | 3.34 | 3000 | 0.4461110234260559 |
| 0.4844 | 4.46 | 4000 | 0.4418625831604004 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- ml
- Created
- Jul 22, 2023
- Updated
- Jul 22, 2023