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--- |
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base_model: openai/whisper-tiny |
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language: |
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- tr |
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library_name: transformers |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Tiny Turkish Combine 8k - Chee Li |
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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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# Whisper Tiny Turkish Combine 8k - Chee Li |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co./openai/whisper-tiny) on the Meta JSON Turkish Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6564 |
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- Wer: 173.7311 |
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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: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 8000 |
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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 | |
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|:-------------:|:--------:|:----:|:---------------:|:--------:| |
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| 1.0132 | 25.6410 | 1000 | 1.3487 | 149.9555 | |
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| 0.0215 | 51.2821 | 2000 | 0.5751 | 126.8923 | |
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| 0.0026 | 76.9231 | 3000 | 0.6045 | 176.7587 | |
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| 0.0011 | 102.5641 | 4000 | 0.6247 | 148.6198 | |
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| 0.0006 | 128.2051 | 5000 | 0.6369 | 174.5325 | |
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| 0.0004 | 153.8462 | 6000 | 0.6470 | 171.5049 | |
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| 0.0003 | 179.4872 | 7000 | 0.6530 | 184.2386 | |
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| 0.0003 | 205.1282 | 8000 | 0.6564 | 173.7311 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.20.1 |
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