---
license: apache-2.0
base_model: monologg/koelectra-base-v3-discriminator
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: kc_electra_base_ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# kc_electra_base_ner

This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3099
- F1: 0.7688

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 1.0   | 2532  | 0.3136          | 0.6236 |
| No log        | 2.0   | 5064  | 0.2314          | 0.7118 |
| No log        | 3.0   | 7596  | 0.2052          | 0.7407 |
| No log        | 4.0   | 10128 | 0.2022          | 0.7541 |
| No log        | 5.0   | 12660 | 0.2120          | 0.7571 |
| No log        | 6.0   | 15192 | 0.2289          | 0.7562 |
| No log        | 7.0   | 17724 | 0.2488          | 0.7575 |
| No log        | 8.0   | 20256 | 0.2745          | 0.7645 |
| No log        | 9.0   | 22788 | 0.2912          | 0.7677 |
| No log        | 10.0  | 25320 | 0.3099          | 0.7688 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3