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distilbert-base-uncased-distilled-clinc
abkds/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from abkds. 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
- Mar 9, 2025
- Updated
- Mar 9, 2025
- SHA
- 79e7ee91
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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: 0.2597
- Accuracy: 0.9439
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 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 |
|---|---|---|---|---|
| 4.266 | 1.0 | 318 | 3.2035 | 0.7323 |
| 2.452 | 2.0 | 636 | 1.6056 | 0.8571 |
| 1.2028 | 3.0 | 954 | 0.8064 | 0.9116 |
| 0.5867 | 4.0 | 1272 | 0.4821 | 0.9297 |
| 0.3104 | 5.0 | 1590 | 0.3516 | 0.9384 |
| 0.1833 | 6.0 | 1908 | 0.3036 | 0.9394 |
| 0.1198 | 7.0 | 2226 | 0.2736 | 0.9445 |
| 0.0874 | 8.0 | 2544 | 0.2638 | 0.9452 |
| 0.0698 | 9.0 | 2862 | 0.2605 | 0.9439 |
| 0.0643 | 10.0 | 3180 | 0.2597 | 0.9439 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.7.0.dev20250218+cu128
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 9, 2025
- Updated
- Mar 9, 2025