---
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
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# 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: 0.4211

## 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: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8081        | 0.99  | 130  | 0.5394          |
| 0.5563        | 1.98  | 260  | 0.4533          |
| 0.5041        | 2.98  | 390  | 0.4468          |
| 0.4962        | 3.97  | 520  | 0.4628          |
| 0.495         | 4.96  | 650  | 0.4335          |
| 0.4777        | 5.95  | 780  | 0.4259          |
| 0.4752        | 6.95  | 910  | 0.4234          |
| 0.4673        | 7.94  | 1040 | 0.4229          |
| 0.4741        | 8.93  | 1170 | 0.4232          |
| 0.4666        | 9.92  | 1300 | 0.4211          |


### Framework versions

- Transformers 4.37.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.1