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distilbert-base-uncased-distiled-clinc
moonsun3d/distilbert-base-uncased-distiled-clinc
distilbert-base-uncased-distiled-clinc is a text classification model from moonsun3d. 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
- Jan 6, 2026
- Updated
- Jan 6, 2026
- SHA
- e376dbaa
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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-distiled-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: 0.0995
- Accuracy: 0.9426
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 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 | 0.5705 | 0.7316 |
| 0.7571 | 2.0 | 636 | 0.2788 | 0.8887 |
| 0.7571 | 3.0 | 954 | 0.1773 | 0.9235 |
| 0.2753 | 4.0 | 1272 | 0.1377 | 0.9326 |
| 0.1588 | 5.0 | 1590 | 0.1198 | 0.9371 |
| 0.1588 | 6.0 | 1908 | 0.1107 | 0.9374 |
| 0.1244 | 7.0 | 2226 | 0.1052 | 0.9381 |
| 0.1096 | 8.0 | 2544 | 0.1019 | 0.9413 |
| 0.1096 | 9.0 | 2862 | 0.0999 | 0.9416 |
| 0.1033 | 10.0 | 3180 | 0.0995 | 0.9426 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.7.1
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 6, 2026
- Updated
- Jan 6, 2026