speecht5-finetuned-common-voice-13-0-euskera
This model is a fine-tuned version of microsoft/speecht5_tts on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4667
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5624 | 3.26 | 1000 | 0.5073 |
| 0.5223 | 6.51 | 2000 | 0.4824 |
| 0.5197 | 9.77 | 3000 | 0.4768 |
| 0.5071 | 13.02 | 4000 | 0.4667 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for dvinagre/speecht5-finetuned-common-voice-13-0-euskera
Base model
microsoft/speecht5_tts