ft-speech-t5-on-voxpopuli-hr
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: 0.5562
Model description
More information needed
Intended uses & limitations
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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: 50
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6808 | 1.63 | 50 | 0.5888 |
| 0.6189 | 3.25 | 100 | 0.5564 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.15.2
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Model tree for mmuz1/ft-speech-t5-on-voxpopuli-hr
Base model
microsoft/speecht5_tts