---
library_name: transformers
license: apache-2.0
base_model: beomi/kcbert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DLthon_BERT_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DLthon_BERT_3

This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0562
- F1: 0.9905

## 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: 0.0001
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 178  | 0.3384          | 0.8918 |
| No log        | 2.0   | 356  | 0.2190          | 0.9425 |
| 0.4141        | 3.0   | 534  | 0.0874          | 0.9748 |
| 0.4141        | 4.0   | 712  | 0.0634          | 0.9858 |
| 0.4141        | 5.0   | 890  | 0.0562          | 0.9905 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1