Speech T5 finetuned on Facebook Voxpopuli NL
This model is a fine-tuned version of microsoft/speecht5_tts on the Text to Speech with European Parliament recordings. dataset. It achieves the following results on the evaluation set:
- Loss: 0.4629
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.52 | 4.3 | 1000 | 0.4807 |
| 0.4938 | 8.61 | 2000 | 0.4673 |
| 0.4942 | 12.91 | 3000 | 0.4654 |
| 0.4938 | 17.21 | 4000 | 0.4629 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Shamik/speecht5_finetuned_voxpopuli_nl
Base model
microsoft/speecht5_tts