---
license: mit
base_model: microsoft/speecht5_tts
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_tts-voxpopuli-jarguello
  results: []
pipeline_tag: text-to-speech
---

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# speecht5_tts-voxpopuli-jarguello

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4464

## 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5089        | 4.32  | 1000 | 0.4632          |
| 0.4835        | 8.64  | 2000 | 0.4512          |
| 0.4862        | 12.97 | 3000 | 0.4487          |
| 0.4825        | 17.29 | 4000 | 0.4464          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3