metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-binary-cordv2
results: []
layoutlmv3-finetuned-binary-cordv2
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0062
- Precision: 0.9890
- Recall: 0.9963
- F1: 0.9926
- Accuracy: 0.9986
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.5625 | 250 | 0.0103 | 0.9779 | 0.9852 | 0.9815 | 0.9963 |
| 0.0581 | 3.125 | 500 | 0.0132 | 0.9781 | 0.9926 | 0.9853 | 0.9973 |
| 0.0581 | 4.6875 | 750 | 0.0066 | 0.9781 | 0.9926 | 0.9853 | 0.9977 |
| 0.0097 | 6.25 | 1000 | 0.0185 | 0.9704 | 0.9704 | 0.9704 | 0.9954 |
| 0.0097 | 7.8125 | 1250 | 0.0130 | 0.9745 | 0.9889 | 0.9816 | 0.9968 |
| 0.0048 | 9.375 | 1500 | 0.0072 | 0.9890 | 0.9963 | 0.9926 | 0.9986 |
| 0.0048 | 10.9375 | 1750 | 0.0044 | 0.9781 | 0.9926 | 0.9853 | 0.9982 |
| 0.0029 | 12.5 | 2000 | 0.0092 | 0.9779 | 0.9852 | 0.9815 | 0.9973 |
| 0.0029 | 14.0625 | 2250 | 0.0080 | 0.9853 | 0.9926 | 0.9889 | 0.9982 |
| 0.0013 | 15.625 | 2500 | 0.0062 | 0.9890 | 0.9963 | 0.9926 | 0.9986 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1