---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: v0.2
  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. -->

# v0.2

This model is a fine-tuned version of [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2277
- Accuracy: 0.4969

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2287        | 0.5   | 22   | 2.4602          | 0.4882   |
| 2.0297        | 1.0   | 44   | 2.3277          | 0.4913   |
| 1.0888        | 1.5   | 66   | 2.4852          | 0.4976   |
| 0.894         | 2.0   | 88   | 2.5449          | 0.4961   |
| 0.2617        | 2.5   | 110  | 3.0394          | 0.4882   |
| 0.2666        | 3.0   | 132  | 3.0984          | 0.4984   |
| 0.1301        | 3.5   | 154  | 3.2467          | 0.4858   |
| 0.1429        | 4.0   | 176  | 3.1169          | 0.4913   |
| 0.092         | 4.5   | 198  | 3.2166          | 0.4961   |
| 0.035         | 5.0   | 220  | 3.2277          | 0.4969   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3