---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: EleutherAI/polyglot-ko-1.3b
model-index:
- name: pretrain_wo-cot_w-asd
  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

This model is a fine-tuned version of [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.5465

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 11.1865       | 0.1290 | 1    | 11.1164         |
| 11.1109       | 0.2581 | 2    | 11.0354         |
| 11.0508       | 0.3871 | 3    | 10.9345         |
| 10.9774       | 0.5161 | 4    | 10.8247         |
| 10.8372       | 0.6452 | 5    | 10.7115         |
| 10.742        | 0.7742 | 6    | 10.5983         |
| 10.6067       | 0.9032 | 7    | 10.4797         |
| 10.5182       | 1.0323 | 8    | 10.3694         |
| 10.3704       | 1.1613 | 9    | 10.2614         |
| 10.2903       | 1.2903 | 10   | 10.1587         |
| 10.1627       | 1.4194 | 11   | 10.0626         |
| 10.1078       | 1.5484 | 12   | 9.9744          |
| 10.0265       | 1.6774 | 13   | 9.8932          |
| 9.9159        | 1.8065 | 14   | 9.8200          |
| 9.8432        | 1.9355 | 15   | 9.7532          |
| 9.7643        | 2.0645 | 16   | 9.6953          |
| 9.7308        | 2.1935 | 17   | 9.6462          |
| 9.6923        | 2.3226 | 18   | 9.6069          |
| 9.6348        | 2.4516 | 19   | 9.5776          |
| 9.5869        | 2.5806 | 20   | 9.5566          |
| 9.6044        | 2.7097 | 21   | 9.5465          |


### Framework versions

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