SpeechT5 Romanian
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli ro dataset. It achieves the following results on the evaluation set:
- Loss: 0.4508
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: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5438 | 4.22 | 400 | 0.4808 |
| 0.5009 | 8.43 | 800 | 0.4563 |
| 0.4886 | 12.65 | 1200 | 0.4508 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for gigant/speecht5_finetuned_voxpopuli_ro_audio_course_v2
Base model
microsoft/speecht5_tts