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kogpt2-finetuning-qlora
minyujin/kogpt2-finetuning-qlora
kogpt2-finetuning-qlora is a text generation model from minyujin. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- cc-by-nc-sa-4.0
- Access
- Public
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025
- SHA
- 6a9ee2ae
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
kogpt2-finetuning-qlora
This model is a fine-tuned version of skt/kogpt2-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0850
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2173 | 1.0 | 108 | 0.1644 |
| 0.1237 | 2.0 | 216 | 0.1004 |
| 0.1073 | 3.0 | 324 | 0.0850 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- peft
- License
- cc-by-nc-sa-4.0
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025