kcbert_1 Done
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README.md
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@@ -4,18 +4,16 @@ base_model: CocoRoF/KoModernBERT-base-mlm-ckp01
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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-
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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-
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-base-mlm-ckp01](https://huggingface.co/CocoRoF/KoModernBERT-base-mlm-ckp01) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7985
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## Model description
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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:
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- total_train_batch_size:
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- total_eval_batch_size: 64
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 22.0701 | 0.6089 | 5000 | 2.7985 |
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### Framework versions
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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-ckp02
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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-ckp02
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-base-mlm-ckp01](https://huggingface.co/CocoRoF/KoModernBERT-base-mlm-ckp01) on an unknown dataset.
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## Model description
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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: 16
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- total_train_batch_size: 2048
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- total_eval_batch_size: 64
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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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### Training results
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### Framework versions
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