metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: uz_2301_3.2_tts
results: []
uz_2301_3.2_tts
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: 0.4348
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5459 | 5.0 | 500 | 0.4792 |
| 0.4878 | 10.0 | 1000 | 0.4627 |
| 0.4536 | 15.0 | 1500 | 0.4321 |
| 0.4266 | 20.0 | 2000 | 0.4219 |
| 0.4083 | 25.0 | 2500 | 0.4137 |
| 0.3864 | 30.0 | 3000 | 0.4259 |
| 0.3667 | 35.0 | 3500 | 0.4216 |
| 0.3489 | 40.0 | 4000 | 0.4299 |
| 0.3447 | 45.0 | 4500 | 0.4332 |
| 0.3445 | 50.0 | 5000 | 0.4348 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0