Downloads · 30 days
38
19% of all-time downloads
modernbert-base-distiled-clinc
simon-mellergaard/modernbert-base-distiled-clinc
modernbert-base-distiled-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
195
Public
Parameters
150M
43.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt19.2 GB · 65%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Sep 27, 2025
- Updated
- Sep 28, 2025
- SHA
- 39753772
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. -->
modernbert-base-distiled-clinc
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2120
- Accuracy: 0.9481
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 0.4664 | 0.8897 |
| 1.2415 | 2.0 | 636 | 0.2778 | 0.9306 |
| 1.2415 | 3.0 | 954 | 0.2205 | 0.9468 |
| 0.056 | 4.0 | 1272 | 0.2119 | 0.9497 |
| 0.0061 | 5.0 | 1590 | 0.2120 | 0.9481 |
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
- modernbert
- License
- apache-2.0
- Created
- Sep 27, 2025
- Updated
- Sep 28, 2025