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speecht5_finetuned_voxpopuli_en
bwilkie/speecht5_finetuned_voxpopuli_en
speecht5_finetuned_voxpopuli_en is a text-to-speech model from bwilkie. Use it when you need text read aloud. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Speech
- Library
- transformers
- License
- apache-2.0
- Model type
- speecht5
- Access
- Public
- Created
- Jul 28, 2023
- Updated
- Jul 30, 2023
- SHA
- 9f7187b3
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_voxpopuli_en
This model is a fine-tuned version of speechbrain/spkrec-xvect-voxceleb on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.6952
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: 10
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7848 | 0.12 | 10 | 0.7479 |
| 0.7404 | 0.24 | 20 | 0.6952 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- apache-2.0
- Created
- Jul 28, 2023
- Updated
- Jul 30, 2023