---
license: mit
base_model: beomi/KcELECTRA-base-v2022
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: KcELECTRA-base-v2022-KEmoFact-0925
  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-v2022-KEmoFact-0925

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: 0.0795
- Precision: 0.4023
- Recall: 0.4558
- F1: 0.4274
- Ov Accuracy: 0.9755
- Jaccard: 0.7418

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Ov Accuracy | Jaccard |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:-----------:|:-------:|
| No log        | 1.0   | 414  | 0.0588          | 0.3320    | 0.3756 | 0.3525 | 0.9750      | 0.6882  |
| 0.0728        | 2.0   | 828  | 0.0603          | 0.3501    | 0.4050 | 0.3755 | 0.9743      | 0.7056  |
| 0.0457        | 3.0   | 1242 | 0.0668          | 0.3675    | 0.4162 | 0.3904 | 0.9748      | 0.7164  |
| 0.031         | 4.0   | 1656 | 0.0760          | 0.3717    | 0.4208 | 0.3947 | 0.9746      | 0.7118  |
| 0.0212        | 5.0   | 2070 | 0.0844          | 0.3725    | 0.4287 | 0.3986 | 0.9740      | 0.7154  |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3