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distilbert-base-uncased-distilled-clinc
ParkJuYeong/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from ParkJuYeong. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 7, 2026
- Updated
- Feb 7, 2026
- SHA
- 2f2eba92
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
distilbert-base-uncased-distilled-clinc
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2465
- Accuracy: 0.9432
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 1.4278 | 0.7174 |
| 1.7532 | 2.0 | 636 | 0.7166 | 0.8594 |
| 1.7532 | 3.0 | 954 | 0.4228 | 0.9103 |
| 0.6586 | 4.0 | 1272 | 0.3167 | 0.9329 |
| 0.3194 | 5.0 | 1590 | 0.2790 | 0.9377 |
| 0.3194 | 6.0 | 1908 | 0.2628 | 0.9423 |
| 0.2373 | 7.0 | 2226 | 0.2533 | 0.9435 |
| 0.2109 | 8.0 | 2544 | 0.2498 | 0.9423 |
| 0.2109 | 9.0 | 2862 | 0.2468 | 0.9432 |
| 0.2011 | 10.0 | 3180 | 0.2465 | 0.9432 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu130
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 7, 2026
- Updated
- Feb 7, 2026