---
language:
- sl
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5-finetuned-voxpopuli-sl
  results:
  - task:
      name: Text to Speech
      type: text-to-speech
    dataset:
      name: Voxpopuli
      type: facebook/voxpopuli
      config: sl
      split: train
      args: all
    metrics:
    - name: Loss
      type: loss
      value: 0.4546
---

<!-- 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-voxpopuli-sl

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: 0.4546

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4942        | 21.68 | 1000 | 0.4567          |
| 0.4698        | 43.36 | 2000 | 0.4544          |
| 0.4615        | 65.04 | 3000 | 0.4541          |
| 0.462         | 86.72 | 4000 | 0.4546          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3