---
language:
  - ita
base_model: microsoft/speecht5-tts
tags:
  - text-to-speech
datasets:
  - facebook/multilingual_librispeech
model-index:
  - name: speecht5-finetuned-ita
    results: []
---

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

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the multilingual_librispeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4342

## 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: 200
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5378        | 7.75  | 250  | 0.4721          |
| 0.4872        | 15.5  | 500  | 0.4424          |
| 0.4766        | 23.26 | 750  | 0.4363          |
| 0.4784        | 31.01 | 1000 | 0.4342          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.3
- Tokenizers 0.13.2