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deberta-korean-multilabel_base-lora – AI Model by yj512 | AlphaNeural AI
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yj512
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deberta-korean-multilabel_base-lora
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peft
safetensors
adapter
lora
transformers
team-lucid/deberta-v3-base-korean
apache-2.0
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deberta-korean-multilabel_base-lora
This model is a fine-tuned version of
team-lucid/deberta-v3-base-korean
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1443
F1: 0.9717
Roc Auc: 0.8439
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: 64
eval_batch_size: 128
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: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
0.1514
1.0
6259
0.1509
0.9705
0.8375
0.1396
2.0
12518
0.1443
0.9717
0.8439
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
