metadata
language:
- ar
license: mit
tags:
- ara
- generated_from_trainer
datasets:
- SDA_CLEAN_NAJDI
model-index:
- name: SpeechT5 TTS
results: []
SpeechT5 TTS
This model is a fine-tuned version of 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