speec T5 NL - Sumet
This model is a fine-tuned version of microsoft/speecht5_tts on the Vox Populi NL dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.54 | 1000 | nan |
| 0.0 | 1.09 | 2000 | nan |
| 0.0 | 1.63 | 3000 | nan |
| 0.0 | 2.18 | 4000 | nan |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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Model tree for sumet/speecht5_finetuned_voxpopuli_nl
Base model
microsoft/speecht5_tts