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modernbert-crossencoder
sagarpatelcompstak/modernbert-crossencoder
modernbert-crossencoder is a text classification model from sagarpatelcompstak. 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
- modernbert
- Access
- Public
- Created
- May 21, 2026
- Updated
- May 21, 2026
- SHA
- 814751f8
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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. -->
modernbert-crossencoder
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0093
- Accuracy: 0.9988
- F1: 0.9988
- Auc: 0.9994
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: 32
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc |
|---|---|---|---|---|---|---|
| 0.0265 | 1.0 | 2500 | 0.0221 | 0.9958 | 0.9958 | 0.9985 |
| 0.0205 | 2.0 | 5000 | 0.0131 | 0.9972 | 0.9972 | 0.9995 |
| 0.0099 | 3.0 | 7500 | 0.0093 | 0.9988 | 0.9988 | 0.9994 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- May 21, 2026
- Updated
- May 21, 2026