---
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_conv-base-ltm
  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_conv-base-ltm

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: 1.1665

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 20
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 2000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.156         | 0.2563 | 100  | 1.1623          |
| 1.0573        | 0.5126 | 200  | 1.0621          |
| 0.9766        | 0.7688 | 300  | 1.0136          |
| 0.8888        | 1.0251 | 400  | 0.9799          |
| 0.7699        | 1.2814 | 500  | 0.9696          |
| 0.7575        | 1.5377 | 600  | 0.9534          |
| 0.7641        | 1.7940 | 700  | 0.9405          |
| 0.588         | 2.0502 | 800  | 0.9882          |
| 0.542         | 2.3065 | 900  | 0.9862          |
| 0.5494        | 2.5628 | 1000 | 0.9776          |
| 0.5314        | 2.8191 | 1100 | 0.9726          |
| 0.3521        | 3.0753 | 1200 | 1.0522          |
| 0.3379        | 3.3316 | 1300 | 1.0573          |
| 0.3875        | 3.5879 | 1400 | 1.0439          |
| 0.346         | 3.8442 | 1500 | 1.0578          |
| 0.2252        | 4.1005 | 1600 | 1.1292          |
| 0.2271        | 4.3567 | 1700 | 1.1488          |
| 0.2237        | 4.6130 | 1800 | 1.1526          |
| 0.2199        | 4.8693 | 1900 | 1.1563          |
| 0.1614        | 5.1256 | 2000 | 1.1665          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1