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glaswegian_tts
divakaivan/glaswegian_tts
glaswegian_tts is a text-to-audio model from divakaivan. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- May 18, 2024
- Updated
- Aug 17, 2024
- SHA
- da6fcf48
Base models
Datasets
Model card
From the Hugging Face model README
Fine-tuned using this notebook
<!-- 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 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
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- en
- Created
- May 18, 2024
- Updated
- Aug 17, 2024