---
license: cc-by-nc-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34
model-index:
- name: WebSquareAI-finetuning
  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. -->

# WebSquareAI-finetuning

This model is a fine-tuned version of [kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34](https://huggingface.co/kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6374

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6412        | 1.0   | 84   | 0.6449          |
| 0.497         | 2.0   | 168  | 0.6082          |
| 0.3357        | 3.0   | 252  | 0.6374          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2