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--- |
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license: apache-2.0 |
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base_model: byoussef/whisper-large-v2-Ko |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: trained_model |
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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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# trained_model |
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This model is a fine-tuned version of [byoussef/whisper-large-v2-Ko](https://huggingface.co/byoussef/whisper-large-v2-Ko) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5559 |
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- Cer: 27.1916 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 17460 |
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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 | |
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|:-------------:|:-----:|:-----:|:-------:|:---------------:| |
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| 1.2023 | 0.44 | 1000 | 61.2630 | 1.0742 | |
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| 1.1553 | 0.89 | 2000 | 48.5561 | 0.9965 | |
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| 0.5591 | 1.33 | 3000 | 41.7970 | 1.0181 | |
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| 0.4999 | 1.78 | 4000 | 42.4589 | 0.9979 | |
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| 0.3963 | 2.22 | 5000 | 56.0316 | 1.0151 | |
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| 0.1948 | 2.67 | 6000 | 39.5938 | 1.0179 | |
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| 0.8484 | 3.11 | 7000 | 42.2062 | 0.8630 | |
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| 0.4461 | 3.56 | 8000 | 41.4453 | 0.8244 | |
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| 0.5309 | 4.0 | 9000 | 38.5052 | 0.7959 | |
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| 0.4761 | 4.44 | 10000 | 0.5227 | 31.4439 | |
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| 0.5826 | 4.89 | 11000 | 0.5017 | 32.8738 | |
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| 0.2989 | 5.33 | 12000 | 0.5057 | 29.9159 | |
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| 0.2387 | 5.78 | 13000 | 0.5043 | 30.0935 | |
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| 0.079 | 6.22 | 14000 | 0.5264 | 35.1729 | |
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| 0.19 | 6.67 | 15000 | 0.5234 | 27.0327 | |
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| 0.1049 | 7.11 | 16000 | 0.5564 | 27.4953 | |
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| 0.0449 | 7.56 | 17000 | 0.5559 | 27.1916 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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