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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: 1.1451
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- Wer: 1.0165
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- Cer: 0.7894
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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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| 1.6901 | 4.54 | 100 | 1.3928 | 0.8093 | 0.4264 |
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| 0.6163 | 9.09 | 200 | 0.8885 | 0.7907 | 0.4532 |
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| 0.2692 | 13.63 | 300 | 0.8719 | 0.7823 | 0.4474 |
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| 0.1148 | 18.18 | 400 | 0.9275 | 0.7393 | 0.4280 |
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| 0.04 | 22.72 | 500 | 1.0308 | 0.8162 | 0.5241 |
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| 0.0114 | 27.27 | 600 | 1.0885 | 0.9666 | 0.7902 |
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| 0.0051 | 31.81 | 700 | 1.1159 | 0.9594 | 0.6967 |
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| 0.0036 | 36.36 | 800 | 1.1301 | 1.0451 | 0.7819 |
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| 0.0031 | 40.9 | 900 | 1.1415 | 1.0496 | 0.8072 |
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| 0.0028 | 45.45 | 1000 | 1.1451 | 1.0165 | 0.7894 |
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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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