speecht5_finetuned_commonvoice_id
This model is a fine-tuned version of microsoft/speecht5_tts on the mozilla-foundation/common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4675
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5394 | 4.28 | 1000 | 0.4908 |
| 0.5062 | 8.56 | 2000 | 0.4730 |
| 0.5074 | 12.83 | 3000 | 0.4700 |
| 0.5023 | 17.11 | 4000 | 0.4675 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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