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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-large |
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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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- younghoonKIM/MAICON2023_noise_preprocessd |
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model-index: |
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- name: whisper_large |
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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_large |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co./openai/whisper-large) on the MAICON2023_noise dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2609 |
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- Cer: 27.9801 |
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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: 4 |
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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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- 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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| 0.6254 | 0.36 | 1000 | 0.5211 | 39.0406 | |
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| 0.3894 | 0.71 | 2000 | 0.3733 | 23.1574 | |
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| 0.0932 | 1.07 | 3000 | 0.2990 | 24.4794 | |
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| 0.0952 | 1.43 | 4000 | 0.2609 | 27.9801 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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