| | --- |
| | license: mit |
| | base_model: beomi/KcELECTRA-base-v2022 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: kcelectra_base_ner_law_v2 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # kcelectra_base_ner_law_v2 |
| |
|
| | This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0009 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 3e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 64 |
| | - seed: 15 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.0105 | 0.11 | 1000 | 0.0022 | |
| | | 0.0028 | 0.22 | 2000 | 0.0019 | |
| | | 0.0024 | 0.33 | 3000 | 0.0016 | |
| | | 0.0014 | 0.44 | 4000 | 0.0027 | |
| | | 0.0014 | 0.56 | 5000 | 0.0015 | |
| | | 0.0016 | 0.67 | 6000 | 0.0013 | |
| | | 0.0012 | 0.78 | 7000 | 0.0013 | |
| | | 0.0016 | 0.89 | 8000 | 0.0011 | |
| | | 0.0011 | 1.0 | 9000 | 0.0009 | |
| | | 0.0006 | 1.11 | 10000 | 0.0013 | |
| | | 0.0005 | 1.22 | 11000 | 0.0014 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.37.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Tokenizers 0.15.1 |
| |
|
