---
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          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1