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--- |
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license: mit |
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base_model: beomi/KcELECTRA-base-v2022 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: kcelectra_base_ner_law_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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# kcelectra_base_ner_law_v2 |
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This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0009 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 64 |
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- seed: 15 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0105 | 0.11 | 1000 | 0.0022 | |
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| 0.0028 | 0.22 | 2000 | 0.0019 | |
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| 0.0024 | 0.33 | 3000 | 0.0016 | |
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| 0.0014 | 0.44 | 4000 | 0.0027 | |
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| 0.0014 | 0.56 | 5000 | 0.0015 | |
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| 0.0016 | 0.67 | 6000 | 0.0013 | |
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| 0.0012 | 0.78 | 7000 | 0.0013 | |
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| 0.0016 | 0.89 | 8000 | 0.0011 | |
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| 0.0011 | 1.0 | 9000 | 0.0009 | |
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| 0.0006 | 1.11 | 10000 | 0.0013 | |
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| 0.0005 | 1.22 | 11000 | 0.0014 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.1 |
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