---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- audio
- text-to-speech
datasets:
- fleurs
model-index:
- name: speecht5_finetuned_fleurs_zh
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_fleurs_zh

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the fleurs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4343

## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6864        | 1.09  | 100  | 0.6009          |
| 0.5976        | 2.19  | 200  | 0.5062          |
| 0.543         | 3.28  | 300  | 0.4577          |
| 0.4786        | 4.38  | 400  | 0.4343          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3