---
language:
- ckb
tags:
- hf-tts-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: SpeechT5 TTS ckb
  results: []
---

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# SpeechT5 TTS ckb

This model is a fine-tuned version of [microsoft/speecht5_tts - Saber Molaei](https://huggingface.co/microsoft/speecht5_tts - Saber Molaei) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5267

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5811        | 7.41  | 1000 | 0.5423          |
| 0.5511        | 14.81 | 2000 | 0.5267          |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3