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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: answerdotai/ModernBERT-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: ModernBERT-base-reference_AllLang2-Cefr2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ModernBERT-base-reference_AllLang2-Cefr2 |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1614 |
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- F1: 0.7991 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3.6e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 48 |
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- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 13.434 | 1.0 | 1187 | 0.9551 | 0.6060 | |
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| 12.7427 | 2.0 | 2374 | 0.8242 | 0.6122 | |
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| 10.5392 | 3.0 | 3561 | 0.6622 | 0.6993 | |
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| 8.4093 | 4.0 | 4748 | 0.7189 | 0.7923 | |
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| 6.2165 | 5.0 | 5935 | 0.7702 | 0.8011 | |
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| 3.4972 | 6.0 | 7122 | 0.8621 | 0.7922 | |
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| 2.1566 | 7.0 | 8309 | 0.9976 | 0.7763 | |
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| 1.5776 | 8.0 | 9496 | 0.9838 | 0.7991 | |
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| 1.1022 | 9.0 | 10683 | 1.1791 | 0.7563 | |
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| 0.9423 | 10.0 | 11870 | 1.1614 | 0.7991 | |
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### Framework versions |
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- Transformers 4.53.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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### Citation |
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```bibtex |
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@inproceedings{alva-manchego-etal-2025-findings, |
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title = "Findings of the {TSAR} 2025 Shared Task on Readability-Controlled Text Simplification", |
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author = "Alva-Manchego, Fernando and Stodden, Regina and Imperial, Joseph Marvin and Barayan, Abdullah and North, Kai and Tayyar Madabushi, Harish", |
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editor = "Shardlow, Matthew and Alva-Manchego, Fernando and North, Kai and Stodden, Regina and Saggion, Horacio and Khallaf, Nouran and Hayakawa, Akio", |
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booktitle = "Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)", |
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month = nov, |
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year = "2025", |
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address = "Suzhou, China", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2025.tsar-1.8/", |
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doi = "10.18653/v1/2025.tsar-1.8", |
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pages = "116--130", |
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ISBN = "979-8-89176-176-6" |
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} |
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