---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-base-reference_AllLang2-Cefr2
  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-base-reference_AllLang2-Cefr2

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1614
- F1: 0.7991

## 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: 3.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 48
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 13.434        | 1.0   | 1187  | 0.9551          | 0.6060 |
| 12.7427       | 2.0   | 2374  | 0.8242          | 0.6122 |
| 10.5392       | 3.0   | 3561  | 0.6622          | 0.6993 |
| 8.4093        | 4.0   | 4748  | 0.7189          | 0.7923 |
| 6.2165        | 5.0   | 5935  | 0.7702          | 0.8011 |
| 3.4972        | 6.0   | 7122  | 0.8621          | 0.7922 |
| 2.1566        | 7.0   | 8309  | 0.9976          | 0.7763 |
| 1.5776        | 8.0   | 9496  | 0.9838          | 0.7991 |
| 1.1022        | 9.0   | 10683 | 1.1791          | 0.7563 |
| 0.9423        | 10.0  | 11870 | 1.1614          | 0.7991 |


### Framework versions

- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2


### Citation
```bibtex
@inproceedings{alva-manchego-etal-2025-findings,
    title = "Findings of the {TSAR} 2025 Shared Task on Readability-Controlled Text Simplification",
    author = "Alva-Manchego, Fernando  and Stodden, Regina  and Imperial, Joseph Marvin  and Barayan, Abdullah  and North, Kai  and Tayyar Madabushi, Harish",
    editor = "Shardlow, Matthew  and Alva-Manchego, Fernando  and North, Kai  and Stodden, Regina  and Saggion, Horacio  and Khallaf, Nouran  and Hayakawa, Akio",
    booktitle = "Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.tsar-1.8/",
    doi = "10.18653/v1/2025.tsar-1.8",
    pages = "116--130",
    ISBN = "979-8-89176-176-6"
}