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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-v3 |
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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-v4 |
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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-v4 |
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v3](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3958 |
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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: 2e-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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| 93.6705 | 0.1408 | 500 | 2.9535 | |
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| 89.8639 | 0.2816 | 1000 | 2.8383 | |
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| 85.7463 | 0.4224 | 1500 | 2.7230 | |
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| 84.6276 | 0.5632 | 2000 | 2.6153 | |
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| 80.9724 | 0.7040 | 2500 | 2.5142 | |
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| 78.6488 | 0.8448 | 3000 | 2.4494 | |
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| 76.5932 | 0.9856 | 3500 | 2.3958 | |
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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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