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layoutlmv3-finetuned-invoice-2000
Sourav1111/layoutlmv3-finetuned-invoice-2000
layoutlmv3-finetuned-invoice-2000 is a token classification model from Sourav1111. 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
- Oct 8, 2024
- Updated
- Oct 8, 2024
- SHA
- 1671fc4c
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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-2000
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: 0.0048
- 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.7378 | 0.25 | 100 | 0.6689 | 0.3780 | 0.2305 | 0.2864 | 0.8531 |
| 0.3278 | 0.5 | 200 | 0.2221 | 0.9155 | 0.9066 | 0.9110 | 0.9814 |
| 0.0709 | 0.75 | 300 | 0.0556 | 0.9741 | 0.9772 | 0.9756 | 0.9917 |
| 0.0341 | 1.0 | 400 | 0.0329 | 0.9870 | 0.9868 | 0.9869 | 0.9940 |
| 0.0162 | 1.25 | 500 | 0.0290 | 0.9977 | 0.9963 | 0.9970 | 0.9957 |
| 0.013 | 1.5 | 600 | 0.0114 | 0.9968 | 0.9986 | 0.9977 | 0.9981 |
| 0.0092 | 1.75 | 700 | 0.0048 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0069 | 2.0 | 800 | 0.0039 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0065 | 2.25 | 900 | 0.0035 | 0.9995 | 0.9995 | 0.9995 | 1.0000 |
| 0.0056 | 2.5 | 1000 | 0.0032 | 0.9995 | 0.9995 | 0.9995 | 1.0000 |
| 0.0049 | 2.75 | 1100 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 3.0 | 1200 | 0.0024 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0044 | 3.25 | 1300 | 0.0023 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0041 | 3.5 | 1400 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0041 | 3.75 | 1500 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0038 | 4.0 | 1600 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Oct 8, 2024
- Updated
- Oct 8, 2024