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layoutlmv3-finetuned-invoice
CuongNC220592/layoutlmv3-finetuned-invoice
layoutlmv3-finetuned-invoice is a token classification model from CuongNC220592. 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 2, 2023
- Updated
- Mar 2, 2023
- SHA
- 3c23f7d8
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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. -->
layoutlmv3-finetuned-invoice
This model is a fine-tuned version of microsoft/layoutlmv3-base on the generated dataset. It achieves the following results on the evaluation set:
- Loss: 0.0048
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 2.0 | 100 | 0.0785 | 0.9 | 0.9128 | 0.9063 | 0.9895 |
| No log | 4.0 | 200 | 0.0226 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| No log | 6.0 | 300 | 0.0167 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| No log | 8.0 | 400 | 0.0119 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1245 | 10.0 | 500 | 0.0048 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1245 | 12.0 | 600 | 0.0034 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1245 | 14.0 | 700 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1245 | 16.0 | 800 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1245 | 18.0 | 900 | 0.0019 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0051 | 20.0 | 1000 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0051 | 22.0 | 1100 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0051 | 24.0 | 1200 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0051 | 26.0 | 1300 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0051 | 28.0 | 1400 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0026 | 30.0 | 1500 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0026 | 32.0 | 1600 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0026 | 34.0 | 1700 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0026 | 36.0 | 1800 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0026 | 38.0 | 1900 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0019 | 40.0 | 2000 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Mar 2, 2023
- Updated
- Mar 2, 2023