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---
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 |