intent_classification_model
This model is a fine-tuned version of team-lucid/deberta-v3-base-korean on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3011
- Accuracy: 0.9095
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 |
|---|---|---|---|---|
| 0.3294 | 1.0 | 3446 | 0.3150 | 0.9033 |
| 0.2776 | 2.0 | 6892 | 0.3011 | 0.9095 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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team-lucid/deberta-v3-base-korean
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