Downloads · 30 days
7
7% of all-time downloads
ModernBERT-large-finetuned-clinc
Pi-Marie/ModernBERT-large-finetuned-clinc
ModernBERT-large-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
94
Public
Parameters
396M
14.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.6 GB · 100%
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
- 32a3ad19
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-large-finetuned-clinc
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2153
- Accuracy: 0.9652
- F1: 0.9647
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9456 | 1.0 | 313 | 0.2882 | 0.9335 | 0.9335 |
| 0.1118 | 2.0 | 626 | 0.2797 | 0.9477 | 0.9464 |
| 0.0455 | 3.0 | 939 | 0.2523 | 0.9565 | 0.9560 |
| 0.017 | 4.0 | 1252 | 0.2219 | 0.9613 | 0.9608 |
| 0.0106 | 5.0 | 1565 | 0.2081 | 0.9655 | 0.9651 |
| 0.0036 | 6.0 | 1878 | 0.2303 | 0.9603 | 0.9598 |
| 0.0039 | 7.0 | 2191 | 0.2068 | 0.9655 | 0.9650 |
| 0.0006 | 8.0 | 2504 | 0.2156 | 0.9645 | 0.9640 |
| 0.0001 | 9.0 | 2817 | 0.2153 | 0.9652 | 0.9647 |
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