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layoutlmv3-finetuned-invoice_ConControl
Giannis17/layoutlmv3-finetuned-invoice_ConControl
layoutlmv3-finetuned-invoice_ConControl is a token classification model from Giannis17. 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
- Mar 14, 2025
- Updated
- Mar 26, 2025
- SHA
- dc91d51d
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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-invoice_ConControl
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0254
- Precision: 0.9191
- Recall: 0.8503
- F1: 0.8833
- Accuracy: 0.9944
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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 8 | 0.1907 | 0.0 | 0.0 | 0.0 | 0.9699 |
| No log | 2.0 | 16 | 0.1523 | 0.0 | 0.0 | 0.0 | 0.9699 |
| No log | 3.0 | 24 | 0.1077 | 1.0 | 0.3422 | 0.5100 | 0.9802 |
| No log | 4.0 | 32 | 0.0731 | 0.8488 | 0.3904 | 0.5348 | 0.9817 |
| No log | 5.0 | 40 | 0.0552 | 0.7929 | 0.5936 | 0.6789 | 0.9876 |
| No log | 6.0 | 48 | 0.0431 | 0.9610 | 0.7914 | 0.8680 | 0.9934 |
| No log | 7.0 | 56 | 0.0349 | 0.9434 | 0.8021 | 0.8671 | 0.9932 |
| No log | 8.0 | 64 | 0.0304 | 0.9554 | 0.8021 | 0.8721 | 0.9936 |
| No log | 9.0 | 72 | 0.0279 | 0.9231 | 0.8342 | 0.8764 | 0.9944 |
| No log | 10.0 | 80 | 0.0268 | 0.9176 | 0.8342 | 0.8739 | 0.9942 |
| No log | 11.0 | 88 | 0.0264 | 0.9029 | 0.8449 | 0.8729 | 0.9941 |
| No log | 12.0 | 96 | 0.0255 | 0.9075 | 0.8396 | 0.8722 | 0.9941 |
| No log | 12.5 | 100 | 0.0254 | 0.9191 | 0.8503 | 0.8833 | 0.9944 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu118
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Mar 14, 2025
- Updated
- Mar 26, 2025