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speecht5_finetuned_voxpopuli_it
ruisp/speecht5_finetuned_voxpopuli_it
speecht5_finetuned_voxpopuli_it is a text-to-speech model from ruisp. Use it when you need text read aloud. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of microsoft/speecht5tts on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set: - Loss: 0.5126
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At a glance
- Task
- Text-to-Speech
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Aug 28, 2023
- Updated
- Sep 7, 2023
- SHA
- cabd4d3c
Base models
Datasets
Model card
From the Hugging Face model README
speecht5_tts-ft-voxpopuli-it
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: 0.5126
Model description
It uses the speaker embedding model speechbrain/spkrec-xvect-voxceleb
Intended uses & limitations
More information needed
Training and evaluation data
test_size=0.15
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 300
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6118 | 1.94 | 300 | 0.5508 |
| 0.5729 | 3.89 | 600 | 0.5204 |
| 0.563 | 5.83 | 900 | 0.5126 |
Framework versions
- Transformers 4.33.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.4
- Tokenizers 0.12.1
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- it
- Created
- Aug 28, 2023
- Updated
- Sep 7, 2023