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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: 0.0009
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- Wer: 0.0
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- Cer: 0.0
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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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: 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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| 1.8786 | 6.63 | 100 | 1.3510 | 0.7866 | 0.6649 |
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| 0.4559 | 13.32 | 200 | 0.3395 | 0.3590 | 0.2157 |
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| 0.0793 | 19.95 | 300 | 0.0564 | 0.0996 | 0.0531 |
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| 0.0137 | 26.63 | 400 | 0.0120 | 0.0017 | 0.0017 |
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| 0.0042 | 33.32 | 500 | 0.0032 | 0.0 | 0.0 |
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| 0.0021 | 39.95 | 600 | 0.0018 | 0.0 | 0.0 |
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| 0.0014 | 46.63 | 700 | 0.0013 | 0.0 | 0.0 |
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| 0.0012 | 53.32 | 800 | 0.0011 | 0.0 | 0.0 |
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| 0.001 | 59.95 | 900 | 0.0010 | 0.0 | 0.0 |
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| 0.001 | 66.63 | 1000 | 0.0009 | 0.0 | 0.0 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.9.1+cu111
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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