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