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distilbert-base-uncased-distilled-clinc
iam-tsr/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from iam-tsr. 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
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- de591ca9
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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: 0.2532
- Accuracy: 0.9448
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 3.1980 | 0.7271 |
| 3.7268 | 2.0 | 636 | 1.5994 | 0.8587 |
| 3.7268 | 3.0 | 954 | 0.8034 | 0.9142 |
| 1.3745 | 4.0 | 1272 | 0.4826 | 0.9290 |
| 0.4514 | 5.0 | 1590 | 0.3451 | 0.9387 |
| 0.4514 | 6.0 | 1908 | 0.2988 | 0.9406 |
| 0.1826 | 7.0 | 2226 | 0.2627 | 0.9452 |
| 0.0937 | 8.0 | 2544 | 0.2589 | 0.9448 |
| 0.0937 | 9.0 | 2862 | 0.2531 | 0.9439 |
| 0.0618 | 10.0 | 3180 | 0.2532 | 0.9448 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.9.0+cu128
- Datasets 4.3.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025