uz-speecht5-finetuned
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: 0.4253
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8912 | 1.4628 | 200 | 0.5255 |
| 4.3184 | 2.9256 | 400 | 0.4803 |
| 4.2157 | 4.3820 | 600 | 0.4550 |
| 4.0862 | 5.8448 | 800 | 0.4520 |
| 3.8760 | 7.3012 | 1000 | 0.4366 |
| 3.8867 | 8.7640 | 1200 | 0.4335 |
| 3.8045 | 10.2204 | 1400 | 0.4337 |
| 3.7306 | 11.6832 | 1600 | 0.4283 |
| 3.6026 | 13.1396 | 1800 | 0.4262 |
| 3.6685 | 14.6024 | 2000 | 0.4253 |
Framework versions
- Transformers 5.15.0.dev0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2