Speech 5
This model is a fine-tuned version of microsoft/speecht5_tts on the Darija Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3400
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: 0.0001
- 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: 100
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2289 | 57.1429 | 100 | 0.3906 |
| 0.2089 | 114.2857 | 200 | 0.3636 |
| 0.1927 | 171.4286 | 300 | 0.3515 |
| 0.1855 | 228.5714 | 400 | 0.3444 |
| 0.1864 | 285.7143 | 500 | 0.3400 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1