| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/speecht5_tts |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - Chithekitale/testing_one |
| | model-index: |
| | - name: Chichewa TTS 1.0 |
| | 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. --> |
| |
|
| | # Chichewa TTS 1.0 |
| |
|
| | This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the testing_one dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: nan |
| | |
| | ## 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: Use 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 | |
| | |:-------------:|:--------:|:----:|:---------------:| |
| | | 0.7231 | 35.7143 | 1000 | nan | |
| | | 0.6602 | 71.4286 | 2000 | nan | |
| | | 0.6706 | 107.1429 | 3000 | nan | |
| | | 0.6736 | 142.8571 | 4000 | nan | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.49.0 |
| | - Pytorch 2.7.0.dev20250301+cu118 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| | |
