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kakao_deberta_intent_cls

Text Classification
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Safetensors
deberta-v2
generated_from_trainer
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kakao_deberta_intent_cls / README.md
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metadata
license: mit
base_model: kakaobank/kf-deberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: kakao_deberta_intent_cls
    results: []

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