kakao_deberta_intent_cls

This model is a fine-tuned version of kakaobank/kf-deberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2684
• Accuracy: 0.9257

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2559	1.0	3446	0.2628	0.9144
0.1609	2.0	6892	0.2684	0.9257

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2