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--- |
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language: |
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- en |
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license: mit |
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base_model: microsoft/speecht5_tts |
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tags: |
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- scottish |
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- tts |
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- glaswegian |
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- generated_from_trainer |
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datasets: |
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- divakaivan/glaswegian_audio |
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model-index: |
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- name: GlaswegianTTS v0.1.0 |
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results: [] |
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--- |
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Fine-tuned using [this notebook](https://colab.research.google.com/drive/1ChrneivOTcgkwdnbwg7nRAEHF2wamb7R?usp=sharing) |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# GlaswegianTTS v0.1.0 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4605 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:--------:|:----:|:---------------:| |
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| 0.4699 | 35.2423 | 1000 | 0.4320 | |
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| 0.4246 | 70.4846 | 2000 | 0.4422 | |
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| 0.4115 | 105.7269 | 3000 | 0.4529 | |
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| 0.4127 | 140.9692 | 4000 | 0.4605 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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