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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: CocoRoF/KoModernBERT-chp-01 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: KoModernBERT-chp-02 |
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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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# KoModernBERT-chp-02 |
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-chp-01](https://huggingface.co./CocoRoF/KoModernBERT-chp-01) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1608 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 17.4659 | 0.0904 | 5000 | 2.2019 | |
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| 17.5275 | 0.1808 | 10000 | 2.1976 | |
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| 17.7839 | 0.2712 | 15000 | 2.1957 | |
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| 17.1639 | 0.3616 | 20000 | 2.1879 | |
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| 17.4977 | 0.4520 | 25000 | 2.1829 | |
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| 17.001 | 0.5424 | 30000 | 2.1814 | |
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| 17.4017 | 0.6329 | 35000 | 2.1747 | |
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| 17.0944 | 0.7233 | 40000 | 2.1722 | |
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| 17.46 | 0.8137 | 45000 | 2.1676 | |
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| 17.0978 | 0.9041 | 50000 | 2.1674 | |
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| 17.1695 | 0.9945 | 55000 | 2.1608 | |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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