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ModernBERT-domain-classifier
aquiro1994/ModernBERT-domain-classifier
ModernBERT-domain-classifier is a text classification model from aquiro1994. 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
- Jun 1, 2025
- Updated
- Oct 16, 2025
- SHA
- 34a8f2a0
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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-domain-classifier
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: 0.7062
- F1: 0.8819
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: 8
- 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 |
|---|---|---|---|---|
| 1.295 | 1.0 | 113 | 1.0131 | 0.7795 |
| 0.3803 | 2.0 | 226 | 0.6424 | 0.8428 |
| 0.1732 | 3.0 | 339 | 0.5776 | 0.8954 |
| 0.031 | 4.0 | 452 | 0.6917 | 0.8819 |
| 0.012 | 5.0 | 565 | 0.7062 | 0.8819 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 3.1.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jun 1, 2025
- Updated
- Oct 16, 2025