---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5-finetuned-voxpopuli_sl
  results: []
pipeline_tag: text-to-speech
---

<!-- 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 facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4830

## 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: 250
- training_steps: 2500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5689        | 2.68  | 250  | 0.5361          |
| 0.5153        | 5.35  | 500  | 0.5024          |
| 0.5044        | 8.03  | 750  | 0.4942          |
| 0.4934        | 10.71 | 1000 | 0.4915          |
| 0.4906        | 13.39 | 1250 | 0.4853          |
| 0.4886        | 16.06 | 1500 | 0.4868          |
| 0.4886        | 18.74 | 1750 | 0.4842          |
| 0.4812        | 21.42 | 2000 | 0.4849          |
| 0.4824        | 24.1  | 2250 | 0.4836          |
| 0.48          | 26.77 | 2500 | 0.4830          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3