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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: 1.8804
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- Wer: 2.0146
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- Cer: 1.4030
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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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| 1.4622 | 16.67 | 100 | 1.5376 | 0.8662 | 0.7357 |
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| 0.297 | 33.33 | 200 | 1.2979 | 0.8675 | 0.6481 |
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| 0.0163 | 50.0 | 300 | 1.5699 | 1.4066 | 1.0449 |
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| 0.0034 | 66.67 | 400 | 1.6919 | 1.6416 | 1.1817 |
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| 0.0017 | 83.33 | 500 | 1.7654 | 1.6943 | 1.2587 |
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| 0.0011 | 100.0 | 600 | 1.8153 | 1.9908 | 1.4084 |
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| 0.0008 | 116.67 | 700 | 1.8455 | 1.9817 | 1.3867 |
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| 0.0007 | 133.33 | 800 | 1.8647 | 2.0479 | 1.4215 |
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| 0.0006 | 150.0 | 900 | 1.8764 | 2.0489 | 1.4253 |
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| 0.0006 | 166.67 | 1000 | 1.8804 | 2.0146 | 1.4030 |
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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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