---
tags:
- generated_from_trainer
model-index:
- name: kobigbird-bert-base-finetuned-klue
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# kobigbird-bert-base-finetuned-klue

This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0743

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.7262        | 0.17  | 500  | 3.1922          |
| 2.2239        | 0.35  | 1000 | 1.5877          |
| 1.602         | 0.52  | 1500 | 1.4144          |
| 1.3619        | 0.69  | 2000 | 1.2172          |
| 1.2611        | 0.86  | 2500 | 1.0703          |
| 1.1354        | 1.04  | 3000 | 1.0719          |
| 0.9851        | 1.21  | 3500 | 1.0052          |
| 0.9205        | 1.38  | 4000 | 1.0223          |
| 0.8753        | 1.55  | 4500 | 0.9671          |
| 0.8751        | 1.73  | 5000 | 1.0368          |
| 0.8535        | 1.9   | 5500 | 0.9146          |
| 0.7376        | 2.07  | 6000 | 1.0462          |
| 0.6256        | 2.24  | 6500 | 1.0606          |
| 0.6041        | 2.42  | 7000 | 1.1533          |
| 0.6403        | 2.59  | 7500 | 1.0871          |
| 0.6208        | 2.76  | 8000 | 1.0743          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6