---
license: mit
tags:
- generated_from_trainer
- text-to-speech
datasets:
- facebook/voxpopuli
model-index:
- name: michaelsh/speecht5_finetuned_voxpopuli_it
  results:
  - task:
      name: Text To Speech
      type: text-to-speech
    dataset:
      name: facebook/voxpopuli
      type: facebook/voxpopuli
      config: en-US
      split: train
      args: it
    metrics:
    - name: MSE
      type: mse
      value: 0.4934
---

<!-- 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. -->

# michaelsh/speecht5_finetuned_voxpopuli_it

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: 0.4934

## 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: 8000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5493        | 10.24 | 1000 | 0.5049          |
| 0.52          | 20.49 | 2000 | 0.4968          |
| 0.5082        | 30.73 | 3000 | 0.4883          |
| 0.5006        | 40.97 | 4000 | 0.4914          |
| 0.4954        | 51.22 | 5000 | 0.4910          |
| 0.4884        | 61.46 | 6000 | 0.4953          |
| 0.4845        | 71.7  | 7000 | 0.4939          |
| 0.4916        | 81.95 | 8000 | 0.4934          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3