---
base_model: Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: speecht5-tts-finetuned-es-voxpopuli-commonvoice16
  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-finetuned-es-voxpopuli-commonvoice16

This model is a fine-tuned version of [Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16](https://huggingface.co/Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16) on the mozilla-foundation/common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4681

## 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: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.5187        | 0.1953 | 1000  | 0.4877          |
| 0.5038        | 0.3906 | 2000  | 0.4823          |
| 0.5063        | 0.5859 | 3000  | 0.4788          |
| 0.5018        | 0.7812 | 4000  | 0.4744          |
| 0.4958        | 0.9764 | 5000  | 0.4728          |
| 0.4981        | 1.1717 | 6000  | 0.4713          |
| 0.4944        | 1.3670 | 7000  | 0.4703          |
| 0.4949        | 1.5623 | 8000  | 0.4683          |
| 0.4902        | 1.7576 | 9000  | 0.4687          |
| 0.4924        | 1.9529 | 10000 | 0.4681          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1