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ModernBERT-regulation-classifier
travis-simon/ModernBERT-regulation-classifier
ModernBERT-regulation-classifier is a text classification model from travis-simon. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- modernbert
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Mar 21, 2025
- SHA
- f264b9da
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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-regulation-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: 0.3695
- F1: 0.9252
Model description
More information needed
Intended uses & limitations
This is a model trained on a custom dataset for classification. It is not likely to be useful to others, unfortunately.
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 15 | 0.5181 | 0.7481 |
| No log | 2.0 | 30 | 0.3811 | 0.8373 |
| No log | 3.0 | 45 | 0.6849 | 0.6865 |
| No log | 4.0 | 60 | 0.4782 | 0.8611 |
| No log | 5.0 | 75 | 0.2552 | 0.9376 |
| No log | 6.0 | 90 | 0.3630 | 0.9127 |
| 0.2889 | 7.0 | 105 | 0.4094 | 0.8618 |
| 0.2889 | 8.0 | 120 | 0.3934 | 0.8997 |
| 0.2889 | 9.0 | 135 | 0.3548 | 0.9376 |
| 0.2889 | 10.0 | 150 | 0.4377 | 0.8746 |
| 0.2889 | 11.0 | 165 | 0.4106 | 0.9126 |
| 0.2889 | 12.0 | 180 | 0.4450 | 0.8997 |
| 0.2889 | 13.0 | 195 | 0.3728 | 0.9376 |
| 0.0041 | 14.0 | 210 | 0.3698 | 0.9252 |
| 0.0041 | 15.0 | 225 | 0.3708 | 0.9252 |
| 0.0041 | 16.0 | 240 | 0.3696 | 0.9252 |
| 0.0041 | 17.0 | 255 | 0.3703 | 0.9252 |
| 0.0041 | 18.0 | 270 | 0.3718 | 0.9252 |
| 0.0041 | 19.0 | 285 | 0.3722 | 0.9252 |
| 0.0 | 20.0 | 300 | 0.3695 | 0.9252 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- Created
- Feb 25, 2025
- Updated
- Mar 21, 2025