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speecht5_tts_commonvoice_en
Avitas8485/speecht5_tts_commonvoice_en
speecht5_tts_commonvoice_en is a text-to-speech model from Avitas8485. 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
- May 24, 2023
- Updated
- Sep 12, 2023
- SHA
- 521116f7
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 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: 0.4261
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 |
|---|---|---|---|
| 0.4543 | 13.61 | 1000 | 0.4225 |
| 0.4525 | 27.21 | 2000 | 0.4203 |
| 0.4359 | 40.82 | 3000 | 0.4228 |
| 0.4324 | 54.42 | 4000 | 0.4261 |
Framework versions
- Transformers 4.30.0.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
- en
- Created
- May 24, 2023
- Updated
- Sep 12, 2023