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modernbert-large-banking77-lora
AzadDjan/modernbert-large-banking77-lora
modernbert-large-banking77-lora is a machine learning model from AzadDjan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 17, 2026
- Updated
- Sep 17, 2026
- SHA
- b9ced31c
Base models
Datasets
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. -->
modernbert-large-banking77-lora
This model is a fine-tuned version of answerdotai/ModernBERT-large on the banking77 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3174
- Accuracy: 0.9351
- Precision: 0.9399
- Recall: 0.9378
- F1: 0.9362
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.9839 | 1.0 | 282 | 0.4775 | 0.8671 | 0.8759 | 0.8715 | 0.8626 |
| 0.5067 | 2.0 | 564 | 0.3470 | 0.9131 | 0.9183 | 0.9147 | 0.9116 |
| 0.2656 | 3.0 | 846 | 0.3133 | 0.9231 | 0.9313 | 0.9257 | 0.9249 |
| 0.1220 | 4.0 | 1128 | 0.2974 | 0.9301 | 0.9350 | 0.9337 | 0.9316 |
| 0.0677 | 5.0 | 1410 | 0.3167 | 0.9251 | 0.9309 | 0.9291 | 0.9271 |
| 0.0247 | 6.0 | 1692 | 0.3185 | 0.9271 | 0.9342 | 0.9267 | 0.9264 |
| 0.0051 | 7.0 | 1974 | 0.3102 | 0.9331 | 0.9367 | 0.9346 | 0.9330 |
| 0.0032 | 8.0 | 2256 | 0.3174 | 0.9351 | 0.9399 | 0.9378 | 0.9362 |
Framework versions
- PEFT 0.21.0
- Transformers 5.17.0
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.23.1
- Library
- peft
- License
- apache-2.0
- Created
- Sep 17, 2026
- Updated
- Sep 17, 2026