Downloads · 30 days
6
1% of all-time downloads
document-data-extraction-layoutlmv3
smitbutle/document-data-extraction-layoutlmv3
document-data-extraction-layoutlmv3 is a token classification model from smitbutle. 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
575
Public
Parameters
126M
2 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
- Dec 5, 2023
- Updated
- Dec 5, 2023
- SHA
- 7ea72ab9
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. -->
document-data-extraction-layoutlmv3
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: 0.0015
- 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: 1
- eval_batch_size: 1
- 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 | 1.0 | 100 | 0.1114 | 0.95 | 0.9635 | 0.9567 | 0.9947 |
| No log | 2.0 | 200 | 0.0286 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| No log | 3.0 | 300 | 0.0184 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| No log | 4.0 | 400 | 0.0163 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1385 | 5.0 | 500 | 0.0141 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1385 | 6.0 | 600 | 0.0123 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1385 | 7.0 | 700 | 0.0122 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1385 | 8.0 | 800 | 0.0108 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.1385 | 9.0 | 900 | 0.0104 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.0119 | 10.0 | 1000 | 0.0113 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
| 0.0119 | 11.0 | 1100 | 0.0080 | 0.974 | 0.9878 | 0.9809 | 0.9973 |
| 0.0119 | 12.0 | 1200 | 0.0089 | 0.9856 | 0.9736 | 0.9796 | 0.9973 |
| 0.0119 | 13.0 | 1300 | 0.0034 | 0.9959 | 0.9959 | 0.9959 | 0.9994 |
| 0.0119 | 14.0 | 1400 | 0.0037 | 0.9980 | 0.9939 | 0.9959 | 0.9994 |
| 0.006 | 15.0 | 1500 | 0.0024 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.006 | 16.0 | 1600 | 0.0019 | 0.9980 | 1.0 | 0.9990 | 0.9998 |
| 0.006 | 17.0 | 1700 | 0.0022 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
| 0.006 | 18.0 | 1800 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.006 | 19.0 | 1900 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0027 | 20.0 | 2000 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023