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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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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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base_model: openai/whisper-medium |
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datasets: |
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- Marcusxx/gwanju |
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model-index: |
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- name: gwanju_medium2_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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# gwanju_medium2_model |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/gwanju dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3592 |
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- Cer: 44.1724 |
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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: 250 |
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- training_steps: 10000 |
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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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| 0.4478 | 0.2964 | 1000 | 0.4342 | 48.5130 | |
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| 0.3965 | 0.5928 | 2000 | 0.3973 | 401.9235 | |
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| 0.3913 | 0.8892 | 3000 | 0.3777 | 23.1253 | |
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| 0.236 | 1.1855 | 4000 | 0.3685 | 27.0142 | |
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| 0.2617 | 1.4819 | 5000 | 0.3638 | 31.4542 | |
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| 0.2245 | 1.7783 | 6000 | 0.3556 | 24.0368 | |
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| 0.1363 | 2.0747 | 7000 | 0.3582 | 27.9426 | |
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| 0.1232 | 2.3711 | 8000 | 0.3629 | 29.3680 | |
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| 0.1299 | 2.6675 | 9000 | 0.3615 | 40.2485 | |
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| 0.1191 | 2.9638 | 10000 | 0.3592 | 44.1724 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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