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router-mmBERT-base-text-only-v3
AmirMohseni/router-mmBERT-base-text-only-v3
router-mmBERT-base-text-only-v3 is a text classification model from AmirMohseni. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- modernbert
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 34a59491
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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. -->
router-mmBERT-base-text-only-v3
This model is a fine-tuned version of jhu-clsp/mmBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5245
- Accuracy: 0.7443
- Precision: 0.7442
- Recall: 0.7443
- F1: 0.7261
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: 0.0001
- train_batch_size: 16
- 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: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 0 | 0 | 1.0763 | 0.6193 | 0.5068 | 0.6193 | 0.5051 |
| 0.7067 | 0.2273 | 20 | 0.6497 | 0.6818 | 0.6798 | 0.6818 | 0.6807 |
| 0.7588 | 0.4545 | 40 | 0.8423 | 0.5114 | 0.7484 | 0.5114 | 0.4657 |
| 0.5581 | 0.6818 | 60 | 0.6621 | 0.6818 | 0.7433 | 0.6818 | 0.6867 |
| 0.641 | 0.9091 | 80 | 0.6033 | 0.6477 | 0.6849 | 0.6477 | 0.6544 |
| 0.5344 | 1.1364 | 100 | 0.6142 | 0.7216 | 0.7176 | 0.7216 | 0.7190 |
| 0.5484 | 1.3636 | 120 | 0.6226 | 0.6818 | 0.7328 | 0.6818 | 0.6874 |
| 0.5466 | 1.5909 | 140 | 0.5224 | 0.75 | 0.7525 | 0.75 | 0.7311 |
| 0.5092 | 1.8182 | 160 | 0.5245 | 0.7443 | 0.7442 | 0.7443 | 0.7261 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- mit
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025