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--- |
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library_name: transformers |
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language: |
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- ko |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kresnik/zeroth_korean |
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model-index: |
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- name: Whisper Tiny Ko - 0.1 |
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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 Ko - 0.1 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the zeroth_korean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1870 |
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- Cer: 9.5399 |
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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: 10000 |
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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 | Cer | |
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|:-------------:|:------:|:-----:|:---------------:|:-------:| |
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| 0.4034 | 0.7184 | 1000 | 0.4414 | 14.7103 | |
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| 0.2432 | 1.4368 | 2000 | 0.3385 | 11.8208 | |
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| 0.1511 | 2.1552 | 3000 | 0.2778 | 9.6734 | |
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| 0.1295 | 2.8736 | 4000 | 0.2440 | 8.1855 | |
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| 0.0905 | 3.5920 | 5000 | 0.2219 | 7.8321 | |
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| 0.0638 | 4.3103 | 6000 | 0.2071 | 8.2915 | |
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| 0.0443 | 5.0287 | 7000 | 0.1970 | 9.0766 | |
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| 0.0534 | 5.7471 | 8000 | 0.1914 | 8.1069 | |
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| 0.0503 | 6.4655 | 9000 | 0.1879 | 6.7682 | |
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| 0.0308 | 7.1839 | 10000 | 0.1870 | 9.5399 | |
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### Framework versions |
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- Transformers 4.53.0 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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