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layoutlmv3-finetuned-trf1
bazar-tech/layoutlmv3-finetuned-trf1
layoutlmv3-finetuned-trf1 is a token classification model from bazar-tech. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Jan 6, 2026
- Updated
- Jan 6, 2026
- SHA
- 946e122c
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Base models
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. -->
layoutlmv3-finetuned-trf1
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0524
- Precision: 0.9891
- Recall: 0.9785
- F1: 0.9838
- Accuracy: 0.9892
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- 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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.8787 | 12.5 | 100 | 0.6080 | 0.9667 | 0.9355 | 0.9508 | 0.9677 |
| 0.2482 | 25.0 | 200 | 0.1501 | 0.9891 | 0.9785 | 0.9838 | 0.9892 |
| 0.0882 | 37.5 | 300 | 0.0934 | 0.9780 | 0.9570 | 0.9674 | 0.9785 |
| 0.0482 | 50.0 | 400 | 0.0759 | 0.9780 | 0.9570 | 0.9674 | 0.9785 |
| 0.0351 | 62.5 | 500 | 0.0620 | 0.9780 | 0.9570 | 0.9674 | 0.9785 |
| 0.0285 | 75.0 | 600 | 0.0545 | 0.9891 | 0.9785 | 0.9838 | 0.9892 |
| 0.0243 | 87.5 | 700 | 0.0578 | 0.9780 | 0.9570 | 0.9674 | 0.9785 |
| 0.0234 | 100.0 | 800 | 0.0632 | 0.9780 | 0.9570 | 0.9674 | 0.9785 |
| 0.0212 | 112.5 | 900 | 0.0682 | 0.9780 | 0.9570 | 0.9674 | 0.9785 |
| 0.0201 | 125.0 | 1000 | 0.0524 | 0.9891 | 0.9785 | 0.9838 | 0.9892 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Jan 6, 2026
- Updated
- Jan 6, 2026