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---
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library_name: transformers
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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model-index:
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- name: speecht5_finetuned_emirhan_tr
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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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# speecht5_finetuned_emirhan_tr
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5641
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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: 0.0001
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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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- 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: 100
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- training_steps: 1000
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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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| 0.7879 | 0.3972 | 100 | 0.6982 |
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| 0.7078 | 0.7944 | 200 | 0.6603 |
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| 0.6728 | 1.1917 | 300 | 0.6420 |
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| 0.646 | 1.5889 | 400 | 0.5979 |
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| 0.6276 | 1.9861 | 500 | 0.5954 |
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| 0.6213 | 2.3833 | 600 | 0.5852 |
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| 0.6161 | 2.7805 | 700 | 0.5805 |
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| 0.6043 | 3.1778 | 800 | 0.5701 |
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| 0.6012 | 3.5750 | 900 | 0.5624 |
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| 0.5951 | 3.9722 | 1000 | 0.5641 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.3.0+cu118
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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