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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-base |
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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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- INo0121/low_quality_call_voice |
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model-index: |
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- name: Whisper Base for Korean Low quaiity Call Voices |
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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 Base for Korean Low quaiity Call Voices |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Korean Low Quaiity Call Voices dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4941 |
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- Cer: 30.7538 |
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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: 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: 8000 |
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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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| 0.6416 | 0.44 | 1000 | 0.6564 | 64.1489 | |
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| 0.5914 | 0.88 | 2000 | 0.5688 | 37.4957 | |
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| 0.435 | 1.32 | 3000 | 0.5349 | 32.6734 | |
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| 0.4056 | 1.76 | 4000 | 0.5124 | 30.9065 | |
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| 0.3368 | 2.2 | 5000 | 0.5057 | 32.6925 | |
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| 0.3107 | 2.64 | 6000 | 0.4979 | 32.8315 | |
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| 0.3016 | 3.08 | 7000 | 0.4947 | 29.3060 | |
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| 0.2979 | 3.52 | 8000 | 0.4941 | 30.7538 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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