large-try Done

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: CocoRoF/KoModernBERT-large-mlm-v11
+tags:
+- generated_from_trainer
+model-index:
+- name: KoModernBERT-large-mlm-v12
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# KoModernBERT-large-mlm-v12
+
+This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v11](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v11) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 1024
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 48.4568       | 0.2695 | 500  | nan             |
+| 42.4535       | 0.5389 | 1000 | nan             |
+| 38.4312       | 0.8084 | 1500 | nan             |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.1