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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-large-mlm-v7 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: KoModernBERT-large-mlm-v8 |
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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-large-mlm-v8 |
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v7](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v7) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9913 |
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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: 2e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 32 |
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- total_train_batch_size: 1024 |
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- total_eval_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-07 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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| 70.789 | 0.0599 | 500 | 2.2607 | |
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| 73.2966 | 0.1199 | 1000 | 2.3530 | |
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| 72.0969 | 0.1798 | 1500 | 2.3316 | |
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| 73.4429 | 0.2397 | 2000 | 2.3031 | |
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| 72.2721 | 0.2997 | 2500 | 2.2628 | |
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| 70.2865 | 0.3596 | 3000 | 2.2342 | |
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| 70.2067 | 0.4196 | 3500 | 2.2033 | |
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| 68.5196 | 0.4795 | 4000 | 2.1734 | |
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| 66.5987 | 0.5394 | 4500 | 2.1468 | |
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| 66.429 | 0.5994 | 5000 | 2.1171 | |
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| 65.128 | 0.6593 | 5500 | 2.0887 | |
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| 65.0296 | 0.7192 | 6000 | 2.0684 | |
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| 64.7926 | 0.7792 | 6500 | 2.0442 | |
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| 64.4718 | 0.8391 | 7000 | 2.0191 | |
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| 63.3394 | 0.8990 | 7500 | 2.0055 | |
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| 62.7926 | 0.9590 | 8000 | 1.9913 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.1 |
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