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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: 1.0576 |
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- Wer: 1.1825 |
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- Cer: 1.0651 |
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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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| 1.6978 | 3.33 | 100 | 1.3610 | 0.7852 | 0.4184 | |
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| 0.6547 | 6.66 | 200 | 0.8659 | 0.7226 | 0.4379 | |
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| 0.3805 | 9.99 | 300 | 0.8060 | 0.7256 | 0.4330 | |
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| 0.1886 | 13.33 | 400 | 0.8382 | 0.6395 | 0.4164 | |
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| 0.0745 | 16.66 | 500 | 0.9106 | 0.8185 | 0.6747 | |
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| 0.0303 | 19.99 | 600 | 0.9697 | 0.8509 | 0.5685 | |
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| 0.0139 | 23.33 | 700 | 1.0096 | 0.8773 | 0.6483 | |
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| 0.0069 | 26.66 | 800 | 1.0367 | 1.2781 | 1.2923 | |
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| 0.0054 | 29.99 | 900 | 1.0518 | 1.2363 | 1.1066 | |
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| 0.0048 | 33.33 | 1000 | 1.0576 | 1.1825 | 1.0651 | |
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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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