---
license: mit
tags:
- generated_from_trainer
datasets:
- lj_speech
model-index:
- name: speecht5-base-finetuned-lj-speech
  results: []
pipeline_tag: text-to-speech
---

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# speecht5-base-finetuned-lj-speech

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the lj_speech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3929

## 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: 125
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4544        | 0.68  | 250  | 0.4076          |
| 0.4435        | 1.36  | 500  | 0.3966          |
| 0.4393        | 2.04  | 750  | 0.3930          |
| 0.4322        | 2.71  | 1000 | 0.3929          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3