---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_es
  results:
  - task:
      name: Text to Speech
      type: text-to-speech
    dataset:
      name: voxpopuli
      type: facebook/voxpopuli
    metrics:
    - name: Loss
      type: loss
      value: 0.4625
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_voxpopuli_es

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4625

## 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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5118        | 2.3419 | 250  | 0.4745          |
| 0.501         | 4.6838 | 500  | 0.4680          |
| 0.4988        | 7.0258 | 750  | 0.4645          |
| 0.4945        | 9.3677 | 1000 | 0.4625          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1