---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- speecht5_finetuned_single_speaker_en_test_librivox
model-index:
- name: SpeechT5 Single Speaker test
  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 Single Speaker test

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the single_speaker_en_test_librivox dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5817

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8228        | 0.59  | 1000 | 0.7680          |
| 0.74          | 1.19  | 2000 | 0.6693          |
| 0.6854        | 1.78  | 3000 | 0.6155          |
| 0.6794        | 2.37  | 4000 | 0.5908          |
| 0.658         | 2.97  | 5000 | 0.5817          |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3