Downloads · 30 days
6
13% of all-time downloads
layoutlmv3-finetuned-invoice
krushal/layoutlmv3-finetuned-invoice
layoutlmv3-finetuned-invoice is a token classification model from krushal. 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. --
All-time downloads
48
Public
Parameters
126M
4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors504 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- c1a97a52
Try a prompt
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. -->
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: 0.0019
- Precision: 0.9980
- Recall: 0.9980
- F1: 0.9980
- Accuracy: 0.9998
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 | 0.1069 | 0.946 | 0.9594 | 0.9527 | 0.9943 |
| No log | 4.0 | 200 | 0.0229 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| No log | 6.0 | 300 | 0.0158 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| No log | 8.0 | 400 | 0.0113 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1416 | 10.0 | 500 | 0.0103 | 0.9800 | 0.9919 | 0.9859 | 0.9979 |
| 0.1416 | 12.0 | 600 | 0.0047 | 0.9980 | 0.9959 | 0.9970 | 0.9996 |
| 0.1416 | 14.0 | 700 | 0.0035 | 0.9939 | 0.9959 | 0.9949 | 0.9994 |
| 0.1416 | 16.0 | 800 | 0.0044 | 0.9980 | 0.9959 | 0.9970 | 0.9996 |
| 0.1416 | 18.0 | 900 | 0.0027 | 0.9980 | 0.9959 | 0.9970 | 0.9996 |
| 0.0049 | 20.0 | 1000 | 0.0019 | 0.9980 | 0.9980 | 0.9980 | 0.9998 |
| 0.0049 | 22.0 | 1100 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0049 | 24.0 | 1200 | 0.0041 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.0049 | 26.0 | 1300 | 0.0033 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.0049 | 28.0 | 1400 | 0.0029 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.0029 | 30.0 | 1500 | 0.0018 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.0029 | 32.0 | 1600 | 0.0019 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.0029 | 34.0 | 1700 | 0.0016 | 0.9980 | 0.9980 | 0.9980 | 0.9998 |
| 0.0029 | 36.0 | 1800 | 0.0017 | 0.9980 | 0.9980 | 0.9980 | 0.9998 |
| 0.0029 | 38.0 | 1900 | 0.0018 | 0.9980 | 0.9980 | 0.9980 | 0.9998 |
| 0.0019 | 40.0 | 2000 | 0.0014 | 0.9980 | 0.9980 | 0.9980 | 0.9998 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023