---
license: mit
tags:
- generated_from_trainer
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_facebook_voxpopuli_spanish
  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_finetuned_facebook_voxpopuli_spanish

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: 0.4434

## 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: 4
- 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: 100
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5076        | 1.0   | 1074  | 0.4770          |
| 0.4919        | 2.0   | 2148  | 0.4651          |
| 0.4833        | 3.0   | 3222  | 0.4589          |
| 0.4817        | 4.0   | 4296  | 0.4556          |
| 0.4707        | 5.0   | 5370  | 0.4529          |
| 0.4688        | 6.0   | 6444  | 0.4511          |
| 0.4736        | 7.0   | 7518  | 0.4496          |
| 0.4645        | 8.0   | 8592  | 0.4488          |
| 0.4719        | 9.0   | 9666  | 0.4475          |
| 0.4602        | 10.0  | 10740 | 0.4460          |
| 0.4609        | 11.0  | 11814 | 0.4455          |
| 0.4575        | 12.0  | 12888 | 0.4451          |
| 0.458         | 13.0  | 13962 | 0.4440          |
| 0.4601        | 14.0  | 15036 | 0.4438          |
| 0.4647        | 15.0  | 16110 | 0.4441          |
| 0.4591        | 16.0  | 17184 | 0.4436          |
| 0.4535        | 17.0  | 18258 | 0.4428          |
| 0.4615        | 18.0  | 19332 | 0.4430          |
| 0.4549        | 19.0  | 20406 | 0.4426          |
| 0.4569        | 20.0  | 21480 | 0.4434          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3