---
language:
- en
license: mit
base_model: Avitas8485/speecht5_tts_commonvoice_en_05
tags:
- text-to-speech
- generated_from_trainer
datasets:
- lj_speech
model-index:
- name: speecht5_tts_commonvoice_en_06
  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_commonvoice_en_06

This model is a fine-tuned version of [Avitas8485/speecht5_tts_commonvoice_en_05](https://huggingface.co/Avitas8485/speecht5_tts_commonvoice_en_05) on the ljspeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3607

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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
- training_steps: 8000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4009        | 1.36  | 1000 | 0.3658          |
| 0.3939        | 2.71  | 2000 | 0.3648          |
| 0.3976        | 4.07  | 3000 | 0.3635          |
| 0.3975        | 5.43  | 4000 | 0.3624          |
| 0.3878        | 6.78  | 5000 | 0.3613          |
| 0.3956        | 8.14  | 6000 | 0.3612          |
| 0.3947        | 9.5   | 7000 | 0.3608          |
| 0.3854        | 10.85 | 8000 | 0.3607          |


### Framework versions

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