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---
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
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