| | --- |
| | language: |
| | - ar |
| | license: mit |
| | tags: |
| | - ara |
| | - generated_from_trainer |
| | datasets: |
| | - SDA_CLEAN_NAJDI |
| | model-index: |
| | - name: SpeechT5 TTS |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # SpeechT5 TTS |
| |
|
| | This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the SDA dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5062 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - 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: 500 |
| | - training_steps: 4000 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.5789 | 1.49 | 1000 | 0.5299 | |
| | | 0.5448 | 2.97 | 2000 | 0.5150 | |
| | | 0.5422 | 4.46 | 3000 | 0.5090 | |
| | | 0.5417 | 5.95 | 4000 | 0.5062 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.13.0 |
| | - Tokenizers 0.13.3 |
| |
|
