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# TTS_Amharic_35hr

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the amhric_35_hr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3964

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4641        | 1.48  | 1000 | 0.4249          |
| 0.4429        | 2.95  | 2000 | 0.4068          |
| 0.4349        | 4.43  | 3000 | 0.3978          |
| 0.4348        | 5.91  | 4000 | 0.3964          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"language": ["nl"], "license": "mit", "tags": ["jjbj", "generated_from_trainer"], "datasets": ["amharic_parallel"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "TTS_Amharic_35hr", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio jjbj generated_from_trainer nl dataset:amharic_parallel base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us