---
license: cc-by-nc-nd-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: kakaobrain/kogpt
model-index:
- name: pretrain_wo-cot_w-asd_gpt
  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. -->

# pretrain_wo-cot_w-asd_gpt

This model is a fine-tuned version of [kakaobrain/kogpt](https://huggingface.co/kakaobrain/kogpt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2695

## 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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.3854        | 0.1290 | 1    | 10.0019         |
| 9.2319        | 0.2581 | 2    | 9.7577          |
| 8.9195        | 0.3871 | 3    | 9.4655          |
| 8.7866        | 0.5161 | 4    | 9.1438          |
| 8.4714        | 0.6452 | 5    | 9.1438          |
| 8.548         | 0.7742 | 6    | 8.8258          |
| 8.1645        | 0.9032 | 7    | 8.5218          |
| 7.9288        | 1.0323 | 8    | 8.1624          |
| 7.4999        | 1.1613 | 9    | 7.8294          |
| 7.0631        | 1.2903 | 10   | 7.5127          |
| 6.9252        | 1.4194 | 11   | 7.1942          |
| 6.7075        | 1.5484 | 12   | 6.8620          |
| 6.4293        | 1.6774 | 13   | 6.5825          |
| 6.1982        | 1.8065 | 14   | 6.2854          |
| 5.9671        | 1.9355 | 15   | 6.0680          |
| 5.5963        | 2.0645 | 16   | 5.8336          |
| 5.4335        | 2.1935 | 17   | 5.6719          |
| 5.3723        | 2.3226 | 18   | 5.5392          |
| 5.3661        | 2.4516 | 19   | 5.4076          |
| 5.0969        | 2.5806 | 20   | 5.3410          |
| 5.0227        | 2.7097 | 21   | 5.2695          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1