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

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# llama-2-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 an unknown dataset.

## Model description

한국어 영화 리뷰 데이터셋(NSMC)을 해결하는 모델이 되도록 미세튜닝
한국 영화 리뷰의 긍정 또는 부정을 판단하는 모델을 학습

## Intended uses & limitations

More information needed

## Training and evaluation data

TrainOutput(global_step=363, training_loss=0.9200148254058249, metrics={'train_runtime': 1447.7436, 'train_samples_per_second': 2.072, 'train_steps_per_second': 1.036, 'total_flos': 1.4780753208410112e+16, 'train_loss': 0.9200148254058249, 'epoch': 0.24})

## Training procedure

### 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
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

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