---
library_name: transformers
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-regulation-classifier
  results: []
---

<!-- 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](https://huggingface.co/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