emirhanbilgic
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README.md
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This model is a fine-tuned version of [emirhanbilgic/speecht5_finetuned_emirhan_tr](https://huggingface.co/emirhanbilgic/speecht5_finetuned_emirhan_tr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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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:
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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 | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.
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### Framework versions
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This model is a fine-tuned version of [emirhanbilgic/speecht5_finetuned_emirhan_tr](https://huggingface.co/emirhanbilgic/speecht5_finetuned_emirhan_tr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6689
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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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: 100
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- training_steps: 100
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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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| 0.6058 | 0.4545 | 100 | 0.6689 |
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### Framework versions
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