---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: llama-2-7b-nsmc
  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. -->

# 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 an unknown dataset.

## 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: 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: 2000
- mixed_precision_training: Native AMP

### Training results

![image/png](https://cdn-uploads.huggingface.co/production/uploads/652384150f935fa8fd6c6779/EF2yaEkYQKsYibYr1mheV.png)

TrainOutput(global_step=2000, training_loss=0.5080581178665161, metrics={'train_runtime': 7559.6157, 'train_samples_per_second': 0.529,  
            'train_steps_per_second': 0.265, 'total_flos': 8.1436656795648e+16, 'train_loss': 0.5080581178665161, 'epoch': 2.0})

### 정확도


### Framework versions

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