---
base_model: monologg/kobert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sample_hf_trainer
  results: []
---

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

This model is a fine-tuned version of [monologg/kobert](https://huggingface.co/monologg/kobert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6802
- Accuracy: 0.5938

## 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: 16
- eval_batch_size: 16
- seed: 224
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7328        | 1.0   | 8    | 0.6784          | 0.5938   |
| 0.6823        | 2.0   | 16   | 0.6814          | 0.5938   |
| 0.6617        | 3.0   | 24   | 0.6802          | 0.5938   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1