---
base_model: microsoft/speecht5_tts
datasets:
- voxpopuli
license: mit
tags:
- generated_from_trainer
model-index:
- name: speecht5_tts_voxpopuli_it_v2
  results: []
---

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# speecht5_tts_voxpopuli_it_v2

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6262

## 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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7564        | 0.6116 | 100  | 0.7051          |
| 0.7636        | 1.2232 | 200  | 0.6764          |
| 0.7263        | 1.8349 | 300  | 0.6662          |
| 0.7262        | 2.4465 | 400  | 0.6555          |
| 0.7038        | 3.0581 | 500  | 0.6483          |
| 0.6931        | 3.6697 | 600  | 0.6422          |
| 0.6881        | 4.2813 | 700  | 0.6344          |
| 0.6916        | 4.8930 | 800  | 0.6300          |
| 0.6814        | 5.5046 | 900  | 0.6286          |
| 0.6692        | 6.1162 | 1000 | 0.6262          |


### Framework versions

- Transformers 4.43.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1