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# SpeechT5 TTS Twi

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the lagyamfi/Akan dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3813

## 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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3956        | 28.99  | 1000 | 0.3695          |
| 0.3857        | 57.97  | 2000 | 0.3755          |
| 0.3753        | 86.96  | 3000 | 0.3769          |
| 0.3716        | 115.94 | 4000 | 0.3813          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["tw"], "license": "mit", "tags": ["Akan, Twi, TTS", "generated_from_trainer"], "datasets": ["lagyamfi/Akan"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "SpeechT5 TTS Twi", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio Akan, Twi, TTS generated_from_trainer tw dataset:lagyamfi/Akan base_model:microsoft/speecht5_tts license:mit endpoints_compatible has_space region:us