---
library_name: transformers
language:
- eg
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- simon3000/genshin-voice
model-index:
- name: SpeechT5 TTS English Genshin
  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 English Genshin

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the genshin-voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5421

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.6689        | 1.9550 | 1000 | 0.5954          |
| 0.6139        | 3.9101 | 2000 | 0.5623          |
| 0.6054        | 5.8651 | 3000 | 0.5481          |
| 0.5932        | 7.8201 | 4000 | 0.5421          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1