---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: beomi/Llama-3-Open-Ko-8B-Instruct-preview
model-index:
- name: llama8_on_korean_summary
  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. -->

# llama8_on_korean_summary

This model is a fine-tuned version of [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8512

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5836        | 0.26  | 20   | 1.4113          |
| 1.2717        | 0.53  | 40   | 1.1577          |
| 1.1128        | 0.79  | 60   | 1.0624          |
| 1.0331        | 1.05  | 80   | 1.0005          |
| 0.9565        | 1.32  | 100  | 0.9578          |
| 0.9084        | 1.58  | 120  | 0.9194          |
| 0.9038        | 1.84  | 140  | 0.8943          |
| 0.8157        | 2.11  | 160  | 0.8798          |
| 0.7401        | 2.37  | 180  | 0.8598          |
| 0.7218        | 2.63  | 200  | 0.8412          |
| 0.725         | 2.89  | 220  | 0.8264          |
| 0.6651        | 3.16  | 240  | 0.8289          |
| 0.5981        | 3.42  | 260  | 0.8238          |
| 0.5987        | 3.68  | 280  | 0.8149          |
| 0.5998        | 3.95  | 300  | 0.8093          |
| 0.5423        | 4.21  | 320  | 0.8248          |
| 0.5188        | 4.47  | 340  | 0.8221          |
| 0.5258        | 4.74  | 360  | 0.8201          |
| 0.5028        | 5.0   | 380  | 0.8199          |
| 0.4567        | 5.26  | 400  | 0.8421          |
| 0.4558        | 5.53  | 420  | 0.8427          |
| 0.4424        | 5.79  | 440  | 0.8395          |
| 0.4456        | 6.05  | 460  | 0.8387          |
| 0.4147        | 6.32  | 480  | 0.8517          |
| 0.4254        | 6.58  | 500  | 0.8512          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.0