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modernbert-llm-router
Andesha/modernbert-llm-router
modernbert-llm-router is a text classification model from Andesha. 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
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- 489434a7
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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-llm-router
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: 0.0379
- F1: 0.9917
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: 16
- 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 | F1 |
|---|---|---|---|---|
| 0.0358 | 1.0 | 479 | 0.0373 | 0.9890 |
| 0.0273 | 2.0 | 958 | 0.0392 | 0.9900 |
| 0.0165 | 3.0 | 1437 | 0.0390 | 0.9911 |
| 0.0085 | 4.0 | 1916 | 0.0378 | 0.9917 |
| 0.0106 | 5.0 | 2395 | 0.0379 | 0.9917 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1
- Datasets 4.3.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025