---
base_model: Bllossom/llama-3.2-Korean-Bllossom-AICA-5B
library_name: peft
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-32_64_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-32_64_3

This model is a fine-tuned version of [Bllossom/llama-3.2-Korean-Bllossom-AICA-5B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6952

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 942
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 12.459        | 0.2991 | 47   | 11.8428         |
| 8.9527        | 0.5982 | 94   | 8.3608          |
| 6.8438        | 0.8974 | 141  | 6.6652          |
| 6.1272        | 1.1965 | 188  | 6.0176          |
| 5.858         | 1.4956 | 235  | 5.8316          |
| 5.7707        | 1.7947 | 282  | 5.7618          |
| 5.7435        | 2.0939 | 329  | 5.7331          |
| 5.7215        | 2.3930 | 376  | 5.7194          |
| 5.7118        | 2.6921 | 423  | 5.7114          |
| 5.7047        | 2.9912 | 470  | 5.7063          |
| 5.703         | 3.2904 | 517  | 5.7027          |
| 5.6973        | 3.5895 | 564  | 5.7001          |
| 5.6959        | 3.8886 | 611  | 5.6985          |
| 5.6921        | 4.1877 | 658  | 5.6972          |
| 5.6968        | 4.4869 | 705  | 5.6965          |
| 5.6954        | 4.7860 | 752  | 5.6959          |
| 5.6958        | 5.0851 | 799  | 5.6955          |
| 5.6937        | 5.3842 | 846  | 5.6953          |
| 5.6915        | 5.6834 | 893  | 5.6952          |
| 5.6951        | 5.9825 | 940  | 5.6952          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.46.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.1