Downloads · 30 days
5
24% of all-time downloads
distilbert-base-uncased-distilled-clinc
simon-mellergaard/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from simon-mellergaard. 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. --
All-time downloads
21
Public
Parameters
67.1M
1.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 22, 2025
- Updated
- Sep 25, 2025
- SHA
- b87f803b
Try a prompt
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: 0.2136
- 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 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 | 1.2302 | 0.7132 |
| 1.539 | 2.0 | 636 | 0.6059 | 0.8710 |
| 1.539 | 3.0 | 954 | 0.3555 | 0.9190 |
| 0.5625 | 4.0 | 1272 | 0.2696 | 0.9329 |
| 0.2769 | 5.0 | 1590 | 0.2395 | 0.9371 |
| 0.2769 | 6.0 | 1908 | 0.2280 | 0.9406 |
| 0.2117 | 7.0 | 2226 | 0.2218 | 0.9426 |
| 0.191 | 8.0 | 2544 | 0.2169 | 0.9413 |
| 0.191 | 9.0 | 2862 | 0.2148 | 0.9442 |
| 0.1831 | 10.0 | 3180 | 0.2136 | 0.9439 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 22, 2025
- Updated
- Sep 25, 2025