---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert-grade-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-grade-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: 1.0005
- F1: 0.6175

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.9568        | 1.0   | 197  | 1.4912          | 0.4107 |
| 1.3756        | 2.0   | 394  | 1.2853          | 0.4907 |
| 1.1388        | 3.0   | 591  | 1.1807          | 0.5524 |
| 0.9889        | 4.0   | 788  | 1.1218          | 0.5586 |
| 0.8512        | 5.0   | 985  | 1.0889          | 0.5767 |
| 0.7781        | 6.0   | 1182 | 1.0464          | 0.5901 |
| 0.6999        | 7.0   | 1379 | 1.0223          | 0.5967 |
| 0.639         | 8.0   | 1576 | 1.0122          | 0.6144 |
| 0.6315        | 9.0   | 1773 | 1.0074          | 0.6095 |
| 0.585         | 10.0  | 1970 | 1.0041          | 0.6127 |
| 0.5777        | 11.0  | 2167 | 1.0024          | 0.6121 |
| 0.5512        | 12.0  | 2364 | 0.9948          | 0.6160 |
| 0.5521        | 13.0  | 2561 | 1.0011          | 0.6176 |
| 0.5451        | 14.0  | 2758 | 0.9990          | 0.6147 |
| 0.5502        | 15.0  | 2955 | 1.0005          | 0.6175 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0