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SpeechT5 finetuned with german VoxPopuli subset (13961) - JFuellem
This model is a fine-tuned version of microsoft/speecht5_tts on the Facebook VoxPopuli DE dataset. It achieves the following results on the evaluation set:
- Loss: 0.4670
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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5294 | 2.55 | 1000 | 0.4873 |
| 0.5078 | 5.09 | 2000 | 0.4737 |
| 0.5061 | 7.64 | 3000 | 0.4685 |
| 0.5085 | 10.19 | 4000 | 0.4670 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
