---
language:
- zh
license: mit
base_model: GCYY/speecht5_finetuned_fleurs_zh
tags:
- text-to-speech
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: SpeechT5 TTS Chinese
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SpeechT5 TTS Chinese

This model is a fine-tuned version of [GCYY/speecht5_finetuned_fleurs_zh](https://huggingface.co/GCYY/speecht5_finetuned_fleurs_zh) on the fleurs dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3956
- eval_runtime: 36.5499
- eval_samples_per_second: 12.586
- eval_steps_per_second: 1.587
- epoch: 15.44
- step: 2000

## 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: 5e-06
- 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: 4000

### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3