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---
library_name: transformers
license: apache-2.0
base_model: beomi/kcbert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DLthon_BERT
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. -->
# DLthon_BERT
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: 0.0353
- F1: 0.9925
## 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 | 224 | 0.2364 | 0.9215 |
| No log | 2.0 | 448 | 0.1404 | 0.9546 |
| 0.326 | 3.0 | 672 | 0.0788 | 0.9799 |
| 0.326 | 4.0 | 896 | 0.0563 | 0.9862 |
| 0.0935 | 5.0 | 1120 | 0.0353 | 0.9925 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
|