large-try Done
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README.md
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---
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library_name: transformers
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base_model: CocoRoF/KoModernBERT-large-mlm-v22
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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-v23
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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-v23
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v22](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v22) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0628
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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: 5e-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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| 70.4372 | 0.1156 | 500 | 2.2211 |
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| 69.2834 | 0.2312 | 1000 | 2.2037 |
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| 68.5161 | 0.3468 | 1500 | 2.1771 |
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| 69.8878 | 0.4623 | 2000 | 2.1396 |
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| 69.3379 | 0.5779 | 2500 | 2.1180 |
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| 67.2487 | 0.6935 | 3000 | 2.0976 |
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| 66.1262 | 0.8091 | 3500 | 2.0809 |
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| 66.7275 | 0.9247 | 4000 | 2.0628 |
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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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