---
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: []
---

<!-- 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: 0.4598

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: 125
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6473        | 3.39  | 100  | 0.5703          |
| 0.5709        | 6.78  | 200  | 0.4998          |
| 0.5339        | 10.17 | 300  | 0.4802          |
| 0.5158        | 13.56 | 400  | 0.4733          |
| 0.5275        | 16.95 | 500  | 0.4691          |
| 0.4983        | 20.34 | 600  | 0.4671          |
| 0.499         | 23.73 | 700  | 0.4638          |
| 0.5003        | 27.12 | 800  | 0.4610          |
| 0.496         | 30.51 | 900  | 0.4610          |
| 0.4935        | 33.9  | 1000 | 0.4598          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3