
<!-- 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. -->

# Fine-tuned SpeechT5 on Amharic TTS

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4262

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 16000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5695        | 2.08  | 1000  | 0.5083          |
| 0.5247        | 4.16  | 2000  | 0.4753          |
| 0.495         | 6.24  | 3000  | 0.4570          |
| 0.4861        | 8.32  | 4000  | 0.4478          |
| 0.49          | 10.4  | 5000  | 0.4426          |
| 0.4868        | 12.47 | 6000  | 0.4395          |
| 0.4847        | 14.55 | 7000  | 0.4367          |
| 0.4733        | 16.63 | 8000  | 0.4336          |
| 0.4678        | 18.71 | 9000  | 0.4323          |
| 0.4608        | 20.79 | 10000 | 0.4301          |
| 0.4628        | 22.87 | 11000 | 0.4301          |
| 0.4532        | 24.95 | 12000 | 0.4284          |
| 0.4658        | 27.03 | 13000 | 0.4277          |
| 0.4733        | 29.11 | 14000 | 0.4278          |
| 0.4554        | 31.19 | 15000 | 0.4269          |
| 0.4542        | 33.26 | 16000 | 0.4262          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["am"], "license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "Fine-tuned SpeechT5 on Amharic TTS", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio generated_from_trainer am base_model:microsoft/speecht5_tts license:mit endpoints_compatible has_space region:us