| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: MBZUAI/speecht5_tts_clartts_ar |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: my_tts_model |
| | 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. --> |
| |
|
| | # my_tts_model |
| |
|
| | This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5236 |
| |
|
| | ## 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 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: 4000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-------:|:----:|:---------------:| |
| | | 0.5978 | 2.7939 | 1000 | 0.5698 | |
| | | 0.5674 | 5.5870 | 2000 | 0.5397 | |
| | | 0.5478 | 8.3802 | 3000 | 0.5259 | |
| | | 0.5479 | 11.1733 | 4000 | 0.5236 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.4.0 |
| | - Tokenizers 0.21.0 |
| |
|
