---
library_name: transformers
license: llama3.2
base_model: Bllossom/llama-3.2-Korean-Bllossom-3B
tags:
- generated_from_trainer
model-index:
- name: sonigo_style_predict
  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. -->

# sonigo_style_predict

This model is a fine-tuned version of [Bllossom/llama-3.2-Korean-Bllossom-3B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1488

## 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: 10
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4074        | 1.0   | 182  | 0.5274          |
| 0.2929        | 2.0   | 364  | 0.3765          |
| 0.2069        | 3.0   | 546  | 0.2395          |
| 0.1576        | 4.0   | 728  | 0.2080          |
| 0.1913        | 5.0   | 910  | 0.2121          |
| 0.1852        | 6.0   | 1092 | 0.1757          |
| 0.079         | 7.0   | 1274 | 0.1601          |
| 0.0992        | 8.0   | 1456 | 0.1488          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.0.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3