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---
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: []
---
Fine-tuned using [this notebook](https://colab.research.google.com/drive/1ChrneivOTcgkwdnbwg7nRAEHF2wamb7R?usp=sharing)
<!-- 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: 0.4605
## 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: 8
- 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: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.4699 | 35.2423 | 1000 | 0.4320 |
| 0.4246 | 70.4846 | 2000 | 0.4422 |
| 0.4115 | 105.7269 | 3000 | 0.4529 |
| 0.4127 | 140.9692 | 4000 | 0.4605 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|