---
language:
- it
base_model: SpeechT5
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: microsoft/speecht5_tts
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# microsoft/speecht5_tts

This model is a fine-tuned version of [SpeechT5](https://huggingface.co/SpeechT5) on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4873

## 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: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5472        | 6.13  | 1000 | 0.5091          |
| 0.5229        | 12.26 | 2000 | 0.4946          |
| 0.5122        | 18.39 | 3000 | 0.4898          |
| 0.5159        | 24.52 | 4000 | 0.4889          |
| 0.511         | 30.65 | 5000 | 0.4873          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3