Downloads · 30 days
2
3% of all-time downloads
ModernBERT-base-distilled-finetuned-clinc
Pi-Marie/ModernBERT-base-distilled-finetuned-clinc
ModernBERT-base-distilled-finetuned-clinc is a text classification model from Pi-Marie. 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
61
Public
Parameters
150M
2.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors599 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025
- SHA
- b53000fe
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-distilled-finetuned-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: 0.4103
- Accuracy: 0.9513
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 | 1.1970 | 0.8977 |
| 3.4399 | 2.0 | 636 | 0.5779 | 0.9390 |
| 3.4399 | 3.0 | 954 | 0.4521 | 0.9481 |
| 0.2237 | 4.0 | 1272 | 0.4214 | 0.9516 |
| 0.0852 | 5.0 | 1590 | 0.4103 | 0.9513 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025