speecht5_tts
This model is a fine-tuned version of microsoft/speecht5_tts on the minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6816
Model description
More information needed
Intended uses & limitations
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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
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2874 | 6.4516 | 100 | 1.0267 |
| 1.0027 | 12.9032 | 200 | 0.7996 |
| 0.8851 | 19.3548 | 300 | 0.7091 |
| 0.8022 | 25.8065 | 400 | 0.6816 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Wsassi/speecht5_tts
Base model
microsoft/speecht5_tts