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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-v17
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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-v18
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+ results: []
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+ ---
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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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+
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+ # KoModernBERT-large-mlm-v18
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+
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+ This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v17](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v17) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: nan
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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+ - eval_batch_size: 2
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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: 16
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 84.3345 | 0.1156 | 500 | nan |
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+ | 82.5464 | 0.2312 | 1000 | nan |
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+ | 79.8316 | 0.3468 | 1500 | nan |
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+ | 80.6937 | 0.4624 | 2000 | nan |
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+ | 78.3035 | 0.5779 | 2500 | nan |
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+ | 75.2479 | 0.6935 | 3000 | nan |
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+ | 75.7199 | 0.8091 | 3500 | nan |
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+ | 74.1576 | 0.9247 | 4000 | nan |
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+
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+
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+ ### Framework versions
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+
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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