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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: team-lucid/hubert-base-korean |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: for_test |
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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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# for_test |
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This model is a fine-tuned version of [team-lucid/hubert-base-korean](https://huggingface.co/team-lucid/hubert-base-korean) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 10074.0381 |
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- Cer: 0.8429 |
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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: 0.0001 |
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- train_batch_size: 8 |
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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: 1000 |
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- num_epochs: 10 |
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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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| 5400.8619 | 0.6369 | 300 | 13304.7881 | 1.0451 | |
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| 4024.1566 | 1.2739 | 600 | 11936.0117 | 0.9169 | |
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| 3685.2072 | 1.9108 | 900 | 11838.9512 | 0.8402 | |
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| 3836.7075 | 2.5478 | 1200 | 11351.3096 | 0.8275 | |
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| 3289.8719 | 3.1847 | 1500 | 11245.4717 | 0.8273 | |
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| 3506.6528 | 3.8217 | 1800 | 11008.6963 | 0.8322 | |
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| 3340.1028 | 4.4586 | 2100 | 10811.1230 | 0.8335 | |
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| 2946.4978 | 5.0955 | 2400 | 10763.3887 | 0.8341 | |
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| 3180.8653 | 5.7325 | 2700 | 10414.3926 | 0.8348 | |
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| 3159.9134 | 6.3694 | 3000 | 10376.6455 | 0.8354 | |
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| 2967.3987 | 7.0064 | 3300 | 10216.6924 | 0.8394 | |
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| 3072.4803 | 7.6433 | 3600 | 9977.7178 | 0.8387 | |
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| 3011.5284 | 8.2803 | 3900 | 10170.3740 | 0.8414 | |
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| 3042.4953 | 8.9172 | 4200 | 10057.4072 | 0.8420 | |
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| 3046.5066 | 9.5541 | 4500 | 10074.0381 | 0.8429 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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