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speecht5_finetuned_voxpopuli_fi
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: 0.4403
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: 8000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5006 | 12.05 | 1000 | 0.4627 |
| 0.4822 | 24.1 | 2000 | 0.4498 |
| 0.4725 | 36.14 | 3000 | 0.4452 |
| 0.4653 | 48.19 | 4000 | 0.4427 |
| 0.4652 | 60.24 | 5000 | 0.4411 |
| 0.4635 | 72.29 | 6000 | 0.4404 |
| 0.4583 | 84.34 | 7000 | 0.4403 |
| 0.4558 | 96.39 | 8000 | 0.4403 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
