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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: x2bee/KoModernBERT-base-mlm-v01 |
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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-v01-ckp01 |
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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-v01-ckp01 |
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This model is a fine-tuned version of [x2bee/KoModernBERT-base-mlm-v01](https://huggingface.co/x2bee/KoModernBERT-base-mlm-v01) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7654 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 8 |
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- total_train_batch_size: 512 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 25.1808 | 0.1051 | 1000 | 3.1264 | |
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| 24.5518 | 0.2102 | 2000 | 3.0455 | |
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| 23.9605 | 0.3153 | 3000 | nan | |
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| 23.8549 | 0.4204 | 4000 | 2.9420 | |
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| 23.2944 | 0.5255 | 5000 | 2.9115 | |
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| 23.0988 | 0.6306 | 6000 | 2.8620 | |
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| 22.7786 | 0.7357 | 7000 | 2.8250 | |
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| 22.4325 | 0.8408 | 8000 | 2.7785 | |
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| 21.9527 | 0.9459 | 9000 | 2.7654 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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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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