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---
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
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