---
license: apache-2.0
base_model: beomi/kcbert-base
tags:
- WOONG
- 10_class
- multi_labels
- generated_from_trainer
model-index:
- name: model_output
  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. -->

# model_output

This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1668
- Lrap: 0.8779

## 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: 2e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Lrap   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 469  | 0.1434          | 0.8732 |
| 0.0443        | 2.0   | 938  | 0.1483          | 0.8709 |
| 0.0482        | 3.0   | 1407 | 0.1522          | 0.8795 |
| 0.0279        | 4.0   | 1876 | 0.1632          | 0.8776 |
| 0.0171        | 5.0   | 2345 | 0.1668          | 0.8779 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1