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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: 1.9500
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- Wer: 2.1895
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- Cer: 1.3548
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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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| 1.7116 | 5.53 | 100 | 1.9115 | 1.1785 | 0.6901 |
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| 0.6101 | 11.11 | 200 | 1.5123 | 1.1039 | 0.6221 |
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| 0.2376 | 16.64 | 300 | 1.5636 | 0.9817 | 0.6448 |
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| 0.0591 | 22.21 | 400 | 1.7179 | 2.2005 | 1.3384 |
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| 0.0177 | 27.75 | 500 | 1.8454 | 1.9205 | 1.2140 |
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| 0.0096 | 33.32 | 600 | 1.8529 | 1.2983 | 0.7777 |
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| 0.0048 | 38.85 | 700 | 1.9306 | 2.3411 | 1.4385 |
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| 0.0032 | 44.43 | 800 | 1.9388 | 1.9523 | 1.2705 |
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| 0.0028 | 49.96 | 900 | 1.9472 | 1.8655 | 1.2023 |
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| 0.0026 | 55.53 | 1000 | 1.9500 | 2.1895 | 1.3548 |
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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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