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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-base-mlm-v04-retry-model-chp13
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tags:
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- generated_from_trainer
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model-index:
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- name: KoModernBERT-base-mlm-v04-retry-model-chp14
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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-base-mlm-v04-retry-model-chp14
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp13](https://huggingface.co/CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp13) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2650
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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-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: 64
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- total_train_batch_size: 2048
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- total_eval_batch_size: 32
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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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- 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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| 81.2371 | 0.4904 | 300 | 1.2728 |
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| 80.4117 | 0.9809 | 600 | 1.2650 |
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### Framework versions
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- Transformers 4.48.3
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 368988278
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version https://git-lfs.github.com/spec/v1
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size 368988278
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