Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
kogpt2-finetuning-qlora – AI Model by minyujin | AlphaNeural AI
You can deploy this model and start earning money today!
minyujin
/
kogpt2-finetuning-qlora
like
0
peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
skt/kogpt2-base-v2
cc-by-nc-sa-4.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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
