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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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- Bingsu/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 KR - CookieMoster99 |
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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: zeroth-korean |
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type: Bingsu/zeroth-korean |
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args: 'config: KR, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 52.3565728053004 |
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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 KR - CookieMoster99 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the zeroth-korean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0884 |
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- Wer: 52.3566 |
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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: 8 |
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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: 3000 |
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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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| 0.0254 | 0.36 | 1000 | 0.1079 | 35.4314 | |
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| 0.0141 | 0.72 | 2000 | 0.0955 | 41.0029 | |
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| 0.0097 | 1.08 | 3000 | 0.0884 | 52.3566 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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