---
license: mit
base_model: Serjssv/speecht5_finetuned_voxpopuli_nl-v_1
tags:
- text-to-speech
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_it-v_1
  results: []
language:
- it
---

<!-- 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_it-v_1

This model is a fine-tuned version of [Serjssv/speecht5_finetuned_voxpopuli_nl-v_1](https://huggingface.co/Serjssv/speecht5_finetuned_voxpopuli_nl-v_1) on the voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4967

## 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5249        | 10.58 | 1000 | 0.4967          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3