---
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: 0.8536

## 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: 760
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7767        | 0.26  | 20   | 1.5096          |
| 1.2382        | 0.53  | 40   | 1.0459          |
| 0.9915        | 0.79  | 60   | 0.9451          |
| 0.9126        | 1.05  | 80   | 0.8893          |
| 0.8501        | 1.32  | 100  | 0.8515          |
| 0.8113        | 1.58  | 120  | 0.8192          |
| 0.8019        | 1.84  | 140  | 0.7939          |
| 0.7239        | 2.11  | 160  | 0.7795          |
| 0.6621        | 2.37  | 180  | 0.7594          |
| 0.6457        | 2.63  | 200  | 0.7433          |
| 0.6417        | 2.89  | 220  | 0.7281          |
| 0.5929        | 3.16  | 240  | 0.7305          |
| 0.5245        | 3.42  | 260  | 0.7242          |
| 0.5291        | 3.68  | 280  | 0.7154          |
| 0.528         | 3.95  | 300  | 0.7109          |
| 0.4696        | 4.21  | 320  | 0.7257          |
| 0.4474        | 4.47  | 340  | 0.7251          |
| 0.4572        | 4.74  | 360  | 0.7252          |
| 0.4391        | 5.0   | 380  | 0.7202          |
| 0.3794        | 5.26  | 400  | 0.7462          |
| 0.3771        | 5.53  | 420  | 0.7568          |
| 0.3754        | 5.79  | 440  | 0.7453          |
| 0.3739        | 6.05  | 460  | 0.7597          |
| 0.3179        | 6.32  | 480  | 0.7803          |
| 0.3328        | 6.58  | 500  | 0.7699          |
| 0.3259        | 6.84  | 520  | 0.7710          |
| 0.3014        | 7.11  | 540  | 0.8083          |
| 0.2759        | 7.37  | 560  | 0.8017          |
| 0.2758        | 7.63  | 580  | 0.7954          |
| 0.2798        | 7.89  | 600  | 0.8003          |
| 0.2545        | 8.16  | 620  | 0.8325          |
| 0.2451        | 8.42  | 640  | 0.8282          |
| 0.2355        | 8.68  | 660  | 0.8318          |
| 0.2382        | 8.95  | 680  | 0.8300          |
| 0.2256        | 9.21  | 700  | 0.8544          |
| 0.212         | 9.47  | 720  | 0.8532          |
| 0.2108        | 9.74  | 740  | 0.8529          |
| 0.2125        | 10.0  | 760  | 0.8536          |


### Framework versions

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