---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: lora-llama-2-7b-nsmc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lora-llama-2-7b-nsmc

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on 'nsmc' dataset.

## Model description

[meta-llama/Llama-2-7b-chat-hf]를 nsmc 데이터셋을 이용하여 미세튜닝함.

## Intended uses & limitations

목적: 영화 리뷰 판단 (긍정/부정)

## Training and evaluation data

- training data: nsmc의 train 데이터 중 상위 2000개
- evaluation data: nsmc의 test 데이터 중 상위 1000개

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

- global_step=1000
- training_loss=0.7012106285095215
- metrics={'train_runtime': 3567.3706, 'train_samples_per_second': 0.561, 'train_steps_per_second': 0.28, 'total_flos': 4.0718328397824e+16, 'train_loss': 0.7012106285095215, 'epoch': 1.0}

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

### Accuracy

||TP|TN|
|------|---|---|
|PP|436|36|
|PN|72|456|

- accuracy: 0.892