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speecht5_finetuned_voxpopuli_fr_2
pedroferreira/speecht5_finetuned_voxpopuli_fr_2
speecht5_finetuned_voxpopuli_fr_2 is a text-to-speech model from pedroferreira. 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
- Jan 27, 2024
- Updated
- Jan 27, 2024
- SHA
- 2245904a
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_fr
This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.8649
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4565 | 533.33 | 1000 | 0.8182 |
| 0.4089 | 1066.67 | 2000 | 0.8548 |
| 0.3972 | 1600.0 | 3000 | 0.8666 |
| 0.3876 | 2133.33 | 4000 | 0.8649 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Jan 27, 2024
- Updated
- Jan 27, 2024