---
base_model: MLP-KTLim/llama-3-Korean-Bllossom-8B
library_name: peft
license: llama3
metrics:
- accuracy
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: dedup-llama3blossom
  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. -->

# dedup-llama3blossom

This model is a fine-tuned version of [MLP-KTLim/llama-3-Korean-Bllossom-8B](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B) on the pogny_dedup_instruction, the hana_dedup_instruction and the mango_dedup_instruction datasets.
It achieves the following results on the evaluation set:
- Loss: 0.7135
- Accuracy: 0.7834

## 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: 16
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 8
- total_train_batch_size: 384
- total_eval_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.17.1
- Tokenizers 0.20.1