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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-base |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper_finetune |
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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_finetune |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the aihub_3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3587 |
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- Cer: 11.8692 |
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- Wer: 34.6801 |
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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: 32 |
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- eval_batch_size: 16 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:| |
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| 0.267 | 0.4 | 500 | 11.9783 | 0.3521 | 35.1998 | |
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| 0.2392 | 0.8 | 1000 | 12.1614 | 0.3495 | 34.9449 | |
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| 0.171 | 1.2 | 1500 | 12.0633 | 0.3516 | 35.2048 | |
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| 0.1744 | 1.6 | 2000 | 0.3553 | 12.2091 | 35.0598 | |
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| 0.1722 | 2.0 | 2500 | 0.3515 | 12.0222 | 34.5426 | |
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| 0.1192 | 2.4 | 3000 | 0.3594 | 12.2281 | 35.4796 | |
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| 0.1249 | 2.8 | 3500 | 0.3609 | 12.0137 | 34.8949 | |
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| 0.0858 | 3.2 | 4000 | 0.3587 | 11.8692 | 34.6801 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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