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End of training
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- model.safetensors +1 -1
README.md
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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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## Training procedure
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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:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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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.
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- Tokenizers 0.19.1
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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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- 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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model.safetensors
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