speecht5_tts__v3_sn
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3768
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: 1000
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4579 | 2.4684 | 1000 | 0.4202 |
| 0.4227 | 4.9367 | 2000 | 0.3996 |
| 0.4073 | 7.4051 | 3000 | 0.3890 |
| 0.3963 | 9.8735 | 4000 | 0.3803 |
| 0.3849 | 12.3419 | 5000 | 0.3768 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for Moustapha91/speecht5_tts__v3_sn
Base model
microsoft/speecht5_tts