---
language:
- lt
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speec T5 LT - Unai Gurbindo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speec T5 LT - Unai Gurbindo

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Vox Populi LT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4978

## 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: 4
- 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: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6231        | 12.7  | 100  | 0.5834          |
| 0.5691        | 25.4  | 200  | 0.5259          |
| 0.5381        | 38.1  | 300  | 0.5030          |
| 0.5306        | 50.79 | 400  | 0.5016          |
| 0.521         | 63.49 | 500  | 0.4978          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1