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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-small |
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datasets: |
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- Marcusxx/gwanju |
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model-index: |
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- name: gwanju_small2_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_small2_model |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Marcusxx/gwanju dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5890 |
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- Cer: 213.0841 |
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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: 500 |
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- training_steps: 25000 |
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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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| 0.5224 | 0.2964 | 1000 | 0.5003 | 164.2695 | |
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| 0.4399 | 0.5928 | 2000 | 0.4550 | 440.4495 | |
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| 0.4331 | 0.8892 | 3000 | 0.4277 | 151.5039 | |
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| 0.2926 | 1.1855 | 4000 | 0.4221 | 83.3523 | |
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| 0.3307 | 1.4819 | 5000 | 0.4162 | 221.7744 | |
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| 0.2858 | 1.7783 | 6000 | 0.4099 | 231.1391 | |
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| 0.1883 | 2.0747 | 7000 | 0.4122 | 71.8191 | |
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| 0.1794 | 2.3711 | 8000 | 0.4186 | 64.8286 | |
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| 0.1957 | 2.6675 | 9000 | 0.4146 | 147.6546 | |
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| 0.1752 | 2.9638 | 10000 | 0.4173 | 90.3213 | |
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| 0.1158 | 3.2602 | 11000 | 0.4346 | 187.8218 | |
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| 0.1216 | 3.5566 | 12000 | 0.4342 | 112.4640 | |
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| 0.107 | 3.8530 | 13000 | 0.4401 | 101.8964 | |
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| 0.0679 | 4.1494 | 14000 | 0.4593 | 153.6522 | |
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| 0.0647 | 4.4458 | 15000 | 0.4712 | 91.6056 | |
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| 0.0646 | 4.7421 | 16000 | 0.4732 | 97.5377 | |
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| 0.0289 | 5.0385 | 17000 | 0.4958 | 170.3914 | |
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| 0.0343 | 5.3349 | 18000 | 0.5112 | 160.5715 | |
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| 0.0319 | 5.6313 | 19000 | 0.5129 | 147.4355 | |
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| 0.0344 | 5.9277 | 20000 | 0.5226 | 129.4900 | |
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| 0.018 | 6.2241 | 21000 | 0.5561 | 181.4288 | |
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| 0.0179 | 6.5205 | 22000 | 0.5620 | 191.2249 | |
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| 0.0177 | 6.8168 | 23000 | 0.5668 | 190.5664 | |
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| 0.0086 | 7.1132 | 24000 | 0.5841 | 210.2615 | |
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| 0.0085 | 7.4096 | 25000 | 0.5890 | 213.0841 | |
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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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