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kakao_deberta_intent_cls – AI Model by MRAIRR | AlphaNeural AI
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MRAIRR
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kakao_deberta_intent_cls
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
kakaobank/kf-deberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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
