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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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datasets: |
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- potatoSeop/chimsuja_dataset |
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model-index: |
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- name: whisper-chimsuja |
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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-chimsuja |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the potatoSeop/chimsuja_dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3795 |
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- Cer: 12.0513 |
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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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- num_epochs: 3 |
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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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| 0.913 | 0.4 | 50 | 0.4665 | 14.4249 | |
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| 0.4203 | 0.79 | 100 | 0.4156 | 18.1852 | |
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| 0.343 | 1.19 | 150 | 0.3972 | 13.9544 | |
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| 0.2746 | 1.59 | 200 | 0.3891 | 13.2048 | |
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| 0.2838 | 1.98 | 250 | 0.3827 | 13.8794 | |
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| 0.2153 | 2.38 | 300 | 0.3808 | 12.0721 | |
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| 0.2035 | 2.78 | 350 | 0.3795 | 12.0513 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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