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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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<!-- 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: 0.5090 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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: 8000 |
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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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| 0.4421 | 52.6316 | 1000 | 0.4186 | |
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| 0.3878 | 105.2632 | 2000 | 0.4447 | |
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| 0.3775 | 157.8947 | 3000 | 0.4671 | |
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| 0.3639 | 210.5263 | 4000 | 0.4907 | |
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| 0.354 | 263.1579 | 5000 | 0.4884 | |
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| 0.356 | 315.7895 | 6000 | 0.4997 | |
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| 0.3451 | 368.4211 | 7000 | 0.5021 | |
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| 0.3514 | 421.0526 | 8000 | 0.5090 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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