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distilbert-base-uncased-finetuned-clinc
swamimanish/distilbert-base-uncased-finetuned-clinc
distilbert-base-uncased-finetuned-clinc is a text classification model from swamimanish. 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 5, 2025
- Updated
- Oct 8, 2025
- SHA
- be211da1
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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-finetuned-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: 0.3153
- Accuracy: 0.9442
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.6061 | 1.0 | 318 | 2.7121 | 0.7361 |
| 2.1019 | 2.0 | 636 | 1.4090 | 0.8616 |
| 1.0919 | 3.0 | 954 | 0.7665 | 0.9103 |
| 0.6023 | 4.0 | 1272 | 0.5080 | 0.9261 |
| 0.3756 | 5.0 | 1590 | 0.3971 | 0.9361 |
| 0.2745 | 6.0 | 1908 | 0.3531 | 0.9390 |
| 0.2222 | 7.0 | 2226 | 0.3299 | 0.9435 |
| 0.194 | 8.0 | 2544 | 0.3178 | 0.9442 |
| 0.1826 | 9.0 | 2862 | 0.3153 | 0.9442 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 5, 2025
- Updated
- Oct 8, 2025