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: 0.0018
- 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 | 0.0902 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
No log | 4.0 | 200 | 0.0228 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
No log | 6.0 | 300 | 0.0168 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
No log | 8.0 | 400 | 0.0142 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
0.136 | 10.0 | 500 | 0.0132 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
0.136 | 12.0 | 600 | 0.0151 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
0.136 | 14.0 | 700 | 0.0046 | 0.9939 | 0.9939 | 0.9939 | 0.9992 |
0.136 | 16.0 | 800 | 0.0047 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
0.136 | 18.0 | 900 | 0.0029 | 0.9960 | 0.9980 | 0.9970 | 0.9996 |
0.0072 | 20.0 | 1000 | 0.0018 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0072 | 22.0 | 1100 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0072 | 24.0 | 1200 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0072 | 26.0 | 1300 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0072 | 28.0 | 1400 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0025 | 30.0 | 1500 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0025 | 32.0 | 1600 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0025 | 34.0 | 1700 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0025 | 36.0 | 1800 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0025 | 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 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Panant/layoutlmv3-finetuned-invoice
Base model
microsoft/layoutlmv3-base
Finetuned
this model
Evaluation results
- Precision on generatedtest set self-reported1.000
- Recall on generatedtest set self-reported1.000
- F1 on generatedtest set self-reported1.000
- Accuracy on generatedtest set self-reported1.000