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---
license: mit
base_model: kakaobank/kf-deberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: kakao_deberta_intent_cls
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# kakao_deberta_intent_cls
This model is a fine-tuned version of [kakaobank/kf-deberta-base](https://huggingface.co/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
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