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--- |
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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-small |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- kresnik/zeroth_korean |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Ko - haseong8012 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: kresnik/zeroth_korean |
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type: kresnik/zeroth_korean |
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config: clean |
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split: test |
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args: 'config: ko, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 9.351001355217587 |
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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 Small Ko - haseong8012 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the kresnik/zeroth_korean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0965 |
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- Wer: 9.3510 |
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- Cer: 4.1693 |
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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: 5e-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: 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: 4000 |
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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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| 0.1738 | 0.72 | 1000 | 0.2348 | 20.1777 | 8.0402 | |
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| 0.0601 | 1.44 | 2000 | 0.1447 | 16.1873 | 7.3218 | |
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| 0.0148 | 2.16 | 3000 | 0.1103 | 15.1784 | 7.6162 | |
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| 0.0155 | 2.87 | 4000 | 0.0965 | 9.3510 | 4.1693 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 1.12.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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