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---
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language:
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- tr
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license: apache-2.0
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: base Turkish Whisper (bTW)
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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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# base Turkish Whisper (bTW)
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Ermetal Meetings dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5006
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- Wer: 1.3698
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- Cer: 1.1255
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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: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 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 | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 1.8141 | 5.53 | 100 | 1.4784 | 0.7680 | 0.4463 |
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| 0.673 | 11.11 | 200 | 1.0561 | 0.8175 | 0.5889 |
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| 0.2762 | 16.64 | 300 | 1.0746 | 0.8564 | 0.5887 |
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| 0.0852 | 22.21 | 400 | 1.2061 | 1.4290 | 0.9567 |
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| 0.0199 | 27.75 | 500 | 1.2649 | 1.0706 | 0.9168 |
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| 0.0087 | 33.32 | 600 | 1.4641 | 1.2417 | 1.0328 |
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| 0.0041 | 38.85 | 700 | 1.4685 | 1.2806 | 0.9546 |
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| 0.003 | 44.43 | 800 | 1.4830 | 1.3633 | 1.0236 |
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| 0.0026 | 49.96 | 900 | 1.4964 | 1.3698 | 1.0375 |
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| 0.0025 | 55.53 | 1000 | 1.5006 | 1.3698 | 1.1255 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.12.0+cu102
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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