End of training
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README.md
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# speecht5_finetuned_voxpopuli_sl
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
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## Model description
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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:
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps:
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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: 500
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- training_steps: 4000
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### Framework versions
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- Transformers 4.33.0.dev0
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# speecht5_finetuned_voxpopuli_sl
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5157
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## Model description
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 16
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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: 500
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- training_steps: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.5152 | 91.95 | 500 | 0.5177 |
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| 0.4734 | 183.91 | 1000 | 0.5199 |
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| 0.4555 | 275.86 | 1500 | 0.5129 |
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| 0.4464 | 367.82 | 2000 | 0.5133 |
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| 0.437 | 459.77 | 2500 | 0.5097 |
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| 0.4342 | 551.72 | 3000 | 0.5152 |
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| 0.426 | 643.68 | 3500 | 0.5153 |
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| 0.426 | 735.63 | 4000 | 0.5157 |
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### Framework versions
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- Transformers 4.33.0.dev0
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pytorch_model.bin
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