speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of microsoft/speecht5_tts on the lj_speech dataset. It achieves the following results on the evaluation set:
- Loss: 0.3763
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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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 |
|---|---|---|---|
| 0.4277 | 2.71 | 1000 | 0.3887 |
| 0.4157 | 5.43 | 2000 | 0.3805 |
| 0.4132 | 8.14 | 3000 | 0.3774 |
| 0.417 | 10.85 | 4000 | 0.3763 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.2.0
- Datasets 2.17.1
- Tokenizers 0.13.3
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Model tree for Sachin-mr/speecht5_finetuned_voxpopuli_nl
Base model
microsoft/speecht5_tts