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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 |
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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-v2 |
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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-v2 |
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0138 |
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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: 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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| 142.1995 | 0.1007 | 500 | 4.4768 | |
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| 125.983 | 0.2014 | 1000 | 3.9783 | |
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| 116.4555 | 0.3021 | 1500 | 3.6975 | |
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| 112.8675 | 0.4028 | 2000 | 3.4999 | |
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| 108.9813 | 0.5035 | 2500 | 3.3531 | |
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| 103.8032 | 0.6042 | 3000 | 3.2479 | |
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| 101.6015 | 0.7049 | 3500 | 3.1531 | |
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| 98.1402 | 0.8056 | 4000 | 3.0711 | |
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| 95.7666 | 0.9063 | 4500 | 3.0138 | |
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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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