generated_from_trainer base_model:beomi/llama-2-ko-7b region:us
---
base_model: beomi/llama-2-ko-7b
tags:
- generated_from_trainer
model-index:
- name: llama_2_ko_7b_wiki_QA
  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_ko_7b_wiki_QA

This model is a fine-tuned version of [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1703

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8568        | 0.33  | 50   | 1.4294          |
| 1.2307        | 0.67  | 100  | 1.2169          |
| 1.1788        | 1.0   | 150  | 1.1865          |
| 1.0837        | 1.33  | 200  | 1.1810          |
| 1.1905        | 1.67  | 250  | 1.1740          |
| 1.161         | 2.0   | 300  | 1.1703          |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.3
