speecht5_tts_FR_v4_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: 0.4557
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 |
|---|---|---|---|
| 0.4863 | 4.0060 | 1000 | 0.4579 |
| 0.4512 | 8.0120 | 2000 | 0.4397 |
| 0.4299 | 12.0180 | 3000 | 0.4403 |
| 0.4152 | 16.0240 | 4000 | 0.4490 |
| 0.4076 | 20.0300 | 5000 | 0.4557 |
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_FR_v4_sn
Base model
microsoft/speecht5_tts