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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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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 Large Korean/English |
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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 Korean/English |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8019 |
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- Wer: 198.2263 |
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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: 773 |
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- training_steps: 7728 |
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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 | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5546 | 1.0 | 773 | 0.5308 | 240.1463 | |
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| 0.3284 | 2.0 | 1546 | 0.5160 | 133.6395 | |
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| 0.176 | 3.0 | 2319 | 0.5582 | 264.5033 | |
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| 0.0977 | 4.0 | 3092 | 0.6110 | 155.6417 | |
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| 0.065 | 5.0 | 3865 | 0.6577 | 194.4118 | |
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| 0.0298 | 6.0 | 4638 | 0.7021 | 235.0691 | |
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| 0.0109 | 7.0 | 5411 | 0.7408 | 158.8282 | |
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| 0.0069 | 8.0 | 6184 | 0.7550 | 201.9574 | |
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| 0.0057 | 9.0 | 6957 | 0.8019 | 198.2263 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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