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

# pretrained-asd_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: 3.5349

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 10.3358       | 0.1290 | 1    | 10.3445         |
| 9.6433        | 0.2581 | 2    | 9.6464          |
| 8.9317        | 0.3871 | 3    | 8.9778          |
| 8.4529        | 0.5161 | 4    | 8.3759          |
| 7.8797        | 0.6452 | 5    | 8.3759          |
| 7.9183        | 0.7742 | 6    | 7.7919          |
| 7.3288        | 0.9032 | 7    | 7.2000          |
| 6.8404        | 1.0323 | 8    | 6.6658          |
| 6.1929        | 1.1613 | 9    | 6.1626          |
| 5.7018        | 1.2903 | 10   | 5.6848          |
| 5.3948        | 1.4194 | 11   | 5.2752          |
| 4.9769        | 1.5484 | 12   | 4.9355          |
| 4.7513        | 1.6774 | 13   | 4.6277          |
| 4.5139        | 1.8065 | 14   | 4.3709          |
| 4.1545        | 1.9355 | 15   | 4.1658          |
| 3.895         | 2.0645 | 16   | 3.9919          |
| 3.6844        | 2.1935 | 17   | 3.8500          |
| 3.6875        | 2.3226 | 18   | 3.7336          |
| 3.6514        | 2.4516 | 19   | 3.6427          |
| 3.4645        | 2.5806 | 20   | 3.5779          |
| 3.3493        | 2.7097 | 21   | 3.5349          |


### Framework versions

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