---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: speecht5_tts_common_voice_uk
  results: []
---

<!-- 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_tts_common_voice_uk

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4191

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.902         | 1.0   | 146  | 0.7113          |
| 0.7054        | 2.0   | 292  | 0.4888          |
| 0.5368        | 3.0   | 438  | 0.4549          |
| 0.5188        | 4.0   | 584  | 0.4441          |
| 0.5007        | 5.0   | 730  | 0.4526          |
| 0.4836        | 6.0   | 876  | 0.4299          |
| 0.4722        | 7.0   | 1022 | 0.4249          |
| 0.4666        | 8.0   | 1168 | 0.4234          |
| 0.4652        | 9.0   | 1314 | 0.4218          |
| 0.4639        | 10.0  | 1460 | 0.4191          |


### Framework versions

- Transformers 4.37.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.2