speecht5_tts-finetuned-voxpopuli-en
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: 0.4689
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: 100
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5015 | 2.8 | 500 | 0.4735 |
| 0.4955 | 5.6 | 1000 | 0.4709 |
| 0.4954 | 8.4 | 1500 | 0.4694 |
| 0.4893 | 11.2 | 2000 | 0.4689 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3