yj512/deberta-korean-multilabel_base-lora2

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deberta-korean-multilabel_base-lora2

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: 0.1371
• —F1: 0.9728
• —Roc Auc: 0.8511

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
• —trainbatchsize: 96
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.18.0
• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.2