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# Wallet Amharic TTS

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the tigabu dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 9000
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["nl"], "license": "mit", "tags": ["amharic", "text-to-speech", "speecht5", "tts", "generated_from_trainer"], "datasets": ["facebook/voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "Wallet Amharic TTS", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio amharic text-to-speech tts generated_from_trainer nl dataset:facebook/voxpopuli base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us