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LayoutLM_3
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: 0.7776
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7851
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-06
- 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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 3.03 | 100 | 1.1551 | 0.0 | 0.0 | 0.0 | 0.7851 |
| No log | 6.06 | 200 | 0.9739 | 0.0 | 0.0 | 0.0 | 0.7851 |
| No log | 9.09 | 300 | 0.9131 | 0.0 | 0.0 | 0.0 | 0.7851 |
| No log | 12.12 | 400 | 0.8722 | 0.0 | 0.0 | 0.0 | 0.7851 |
| 1.0495 | 15.15 | 500 | 0.8338 | 0.0 | 0.0 | 0.0 | 0.7851 |
| 1.0495 | 18.18 | 600 | 0.8131 | 0.0 | 0.0 | 0.0 | 0.7851 |
| 1.0495 | 21.21 | 700 | 0.8001 | 0.0 | 0.0 | 0.0 | 0.7851 |
| 1.0495 | 24.24 | 800 | 0.7874 | 0.0 | 0.0 | 0.0 | 0.7851 |
| 1.0495 | 27.27 | 900 | 0.7797 | 0.0 | 0.0 | 0.0 | 0.7851 |
| 0.6789 | 30.3 | 1000 | 0.7776 | 0.0 | 0.0 | 0.0 | 0.7851 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
