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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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+
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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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+
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+ # base Turkish Whisper (bTW)
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+
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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: 1.5006
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+ - Wer: 1.3698
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+ - Cer: 1.1255
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 1.8141 | 5.53 | 100 | 1.4784 | 0.7680 | 0.4463 |
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+ | 0.673 | 11.11 | 200 | 1.0561 | 0.8175 | 0.5889 |
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+ | 0.2762 | 16.64 | 300 | 1.0746 | 0.8564 | 0.5887 |
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+ | 0.0852 | 22.21 | 400 | 1.2061 | 1.4290 | 0.9567 |
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+ | 0.0199 | 27.75 | 500 | 1.2649 | 1.0706 | 0.9168 |
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+ | 0.0087 | 33.32 | 600 | 1.4641 | 1.2417 | 1.0328 |
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+ | 0.0041 | 38.85 | 700 | 1.4685 | 1.2806 | 0.9546 |
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+ | 0.003 | 44.43 | 800 | 1.4830 | 1.3633 | 1.0236 |
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+ | 0.0026 | 49.96 | 900 | 1.4964 | 1.3698 | 1.0375 |
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+ | 0.0025 | 55.53 | 1000 | 1.5006 | 1.3698 | 1.1255 |
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+
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+
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+ ### Framework versions
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+
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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