SpeechT5 TTS hrvatski jezik
This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli_hr dataset. It achieves the following results on the evaluation set:
- Loss: 0.4454
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4994 | 3.2366 | 1000 | 0.4547 |
| 0.4871 | 6.4733 | 2000 | 0.4454 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for milans213/speecht5_tts_hrvatski_v0.1
Base model
microsoft/speecht5_tts