---
library_name: peft
base_model: oopsung/llama2-7b-koNqa-test-v1
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e1d633c8-1178-48ff-a616-b0c4c3e1ff95
  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>

# e1d633c8-1178-48ff-a616-b0c4c3e1ff95

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: 0.6368

## 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: 0.000217
- train_batch_size: 4
- eval_batch_size: 4
- seed: 170
- 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    | 3.3232          |
| 1.1612        | 0.0018 | 50   | 1.7949          |
| 1.0974        | 0.0037 | 100  | 1.6512          |
| 0.8748        | 0.0055 | 150  | 1.6278          |
| 0.8727        | 0.0073 | 200  | 1.3154          |
| 0.8983        | 0.0091 | 250  | 1.1016          |
| 0.7951        | 0.0110 | 300  | 0.9889          |
| 0.7452        | 0.0128 | 350  | 0.7997          |
| 0.6468        | 0.0146 | 400  | 0.7177          |
| 0.6286        | 0.0165 | 450  | 0.6477          |
| 0.6262        | 0.0183 | 500  | 0.6368          |


### Framework versions

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