---
library_name: peft
base_model: oopsung/llama2-7b-koNqa-test-v1
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 39170f1f-e0ed-4fcb-bdc4-2bb25e98161d
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# 39170f1f-e0ed-4fcb-bdc4-2bb25e98161d

This model is a fine-tuned version of [oopsung/llama2-7b-koNqa-test-v1](https://huggingface.co/oopsung/llama2-7b-koNqa-test-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1528

## 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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 140
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0000 | 1    | 2.2965          |
| 1.4541        | 0.0008 | 50   | 1.2898          |
| 1.4665        | 0.0017 | 100  | 1.3165          |
| 1.538         | 0.0025 | 150  | 1.2745          |
| 1.4803        | 0.0034 | 200  | 1.2688          |
| 1.63          | 0.0042 | 250  | 1.2357          |
| 1.5497        | 0.0051 | 300  | 1.2233          |
| 1.5781        | 0.0059 | 350  | 1.1787          |
| 1.3724        | 0.0067 | 400  | 1.1628          |
| 1.346         | 0.0076 | 450  | 1.1539          |
| 1.2756        | 0.0084 | 500  | 1.1528          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1