speecht5_finetuned_yoruba_500_v2
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4526
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 |
|---|---|---|---|
| 0.612 | 4.4444 | 100 | 0.5229 |
| 0.5444 | 8.8889 | 200 | 0.4872 |
| 0.5166 | 13.3333 | 300 | 0.4702 |
| 0.5004 | 17.7778 | 400 | 0.4624 |
| 0.4891 | 22.2222 | 500 | 0.4526 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for Emmanuelprime/speecht5_finetuned_yoruba_500_v2
Base model
microsoft/speecht5_tts