---
language:
- en
license: mit
base_model: microsoft/speecht5_tts
tags:
- scottish
- tts
- glaswegian
- generated_from_trainer
datasets:
- divakaivan/glaswegian_audio
model-index:
- name: GlaswegianTTS v0.1.0
  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. -->

# GlaswegianTTS v0.1.0

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the glaswegian_tts_v0.1.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5090

## 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: 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: 1000
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.4421        | 52.6316  | 1000 | 0.4186          |
| 0.3878        | 105.2632 | 2000 | 0.4447          |
| 0.3775        | 157.8947 | 3000 | 0.4671          |
| 0.3639        | 210.5263 | 4000 | 0.4907          |
| 0.354         | 263.1579 | 5000 | 0.4884          |
| 0.356         | 315.7895 | 6000 | 0.4997          |
| 0.3451        | 368.4211 | 7000 | 0.5021          |
| 0.3514        | 421.0526 | 8000 | 0.5090          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1