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speecht5_tts_voxpopuli_it
sophiayk20/speecht5_tts_voxpopuli_it
speecht5_tts_voxpopuli_it is a machine learning model from sophiayk20. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Aug 24, 2024
- Updated
- Aug 25, 2024
- SHA
- 5338552f
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 Italian
This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4819
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|
| 0.5314 | 24.3902 | 1000 | 0.4962 |
| 0.5149 | 48.7805 | 2000 | 0.4842 |
| 0.5041 | 73.1707 | 3000 | 0.4825 |
| 0.4976 | 97.5610 | 4000 | 0.4819 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- speecht5
- License
- mit
- Languages
- it
- Created
- Aug 24, 2024
- Updated
- Aug 25, 2024