speecht5_finetuned_bu_tts_cy_en
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: 0.4014
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: 32
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4904 | 7.1942 | 1000 | 0.4423 |
| 0.4636 | 14.3885 | 2000 | 0.4227 |
| 0.4478 | 21.5827 | 3000 | 0.4148 |
| 0.4475 | 28.7770 | 4000 | 0.4094 |
| 0.4339 | 35.9712 | 5000 | 0.4061 |
| 0.4326 | 43.1655 | 6000 | 0.4047 |
| 0.4333 | 50.3597 | 7000 | 0.4033 |
| 0.4291 | 57.5540 | 8000 | 0.4031 |
| 0.4278 | 64.7482 | 9000 | 0.4016 |
| 0.4291 | 71.9424 | 10000 | 0.4014 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1