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17092025_modernbert_large_linsearch_only_abstract
c-ho/17092025_modernbert_large_linsearch_only_abstract
17092025_modernbert_large_linsearch_only_abstract is a text classification model from c-ho. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025
- SHA
- dcac1c1d
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Model card
From the Hugging Face model README
<!-- 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. -->
17092025_modernbert_large_linsearch_only_abstract
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2133
- Accuracy: 0.5926
- F1 Macro: 0.5523
- Precision Macro: 0.5713
- Recall Macro: 0.5447
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|
| 7.473 | 1.0 | 1757 | 1.2589 | 0.5601 | 0.4976 | 0.5604 | 0.4893 |
| 4.6095 | 2.0 | 3514 | 1.1778 | 0.5822 | 0.5388 | 0.5551 | 0.5353 |
| 3.9963 | 3.0 | 5271 | 1.1347 | 0.5921 | 0.5467 | 0.5699 | 0.5405 |
| 3.46 | 4.0 | 7028 | 1.1451 | 0.5928 | 0.5509 | 0.5658 | 0.5472 |
| 2.8519 | 4.9976 | 8780 | 1.2133 | 0.5926 | 0.5523 | 0.5713 | 0.5447 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025