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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: 1.8564
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- Wer: 1.2482
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- Cer: 0.7381
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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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| 1.6604 | 2.86 | 100 | 1.9378 | 1.1296 | 0.6334 |
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| 0.6453 | 5.71 | 200 | 1.4655 | 0.9878 | 0.5974 |
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| 0.3912 | 8.57 | 300 | 1.4669 | 1.2543 | 0.7557 |
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| 0.2081 | 11.43 | 400 | 1.4622 | 0.8203 | 0.5123 |
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| 0.094 | 14.29 | 500 | 1.6592 | 0.9535 | 0.6367 |
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| 0.039 | 17.14 | 600 | 1.6946 | 0.9658 | 0.5706 |
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| 0.0172 | 20.0 | 700 | 1.8271 | 1.4046 | 1.0027 |
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| 0.0086 | 22.86 | 800 | 1.8149 | 1.2567 | 0.7530 |
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| 0.0064 | 25.71 | 900 | 1.8478 | 1.2311 | 0.7279 |
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| 0.0061 | 28.57 | 1000 | 1.8564 | 1.2482 | 0.7381 |
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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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