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---
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
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