speecht5_finetuned_voxpopuli_lt
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: 0.4991
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6111 | 3.85 | 100 | 0.5507 |
| 0.6052 | 7.69 | 200 | 0.5203 |
| 0.5447 | 11.54 | 300 | 0.5029 |
| 0.5584 | 15.38 | 400 | 0.5015 |
| 0.5522 | 19.23 | 500 | 0.4991 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for ghassenhannachi/speecht5_finetuned_voxpopuli_lt
Base model
microsoft/speecht5_tts