---
language:
- yor
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: SpeechT5 TTS Yoruba
  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. -->

# SpeechT5 TTS Yoruba

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1_yor dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4717

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6107        | 8.55  | 500  | 0.5211          |
| 0.5458        | 17.09 | 1000 | 0.4882          |
| 0.5229        | 25.64 | 1500 | 0.4787          |
| 0.5088        | 34.19 | 2000 | 0.4723          |
| 0.5026        | 42.74 | 2500 | 0.4691          |
| 0.4978        | 51.28 | 3000 | 0.4706          |
| 0.509         | 59.83 | 3500 | 0.4712          |
| 0.4902        | 68.38 | 4000 | 0.4717          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2