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layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7215
- Precision: 0.8720
- Recall: 0.8870
- F1: 0.8794
- Accuracy: 0.8790
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 | 12.5 | 250 | 1.0892 | 0.7345 | 0.7867 | 0.7597 | 0.7806 |
| 1.3039 | 25.0 | 500 | 0.7150 | 0.8054 | 0.8428 | 0.8237 | 0.8281 |
| 1.3039 | 37.5 | 750 | 0.6320 | 0.8335 | 0.8615 | 0.8473 | 0.8540 |
| 0.2171 | 50.0 | 1000 | 0.6427 | 0.8651 | 0.8832 | 0.8741 | 0.8722 |
| 0.2171 | 62.5 | 1250 | 0.6640 | 0.8672 | 0.8847 | 0.8759 | 0.8765 |
| 0.0654 | 75.0 | 1500 | 0.6758 | 0.8650 | 0.8825 | 0.8737 | 0.8731 |
| 0.0654 | 87.5 | 1750 | 0.7028 | 0.8684 | 0.8840 | 0.8761 | 0.8765 |
| 0.0338 | 100.0 | 2000 | 0.7252 | 0.8710 | 0.8847 | 0.8778 | 0.8769 |
| 0.0338 | 112.5 | 2250 | 0.7227 | 0.8710 | 0.8847 | 0.8778 | 0.8778 |
| 0.0257 | 125.0 | 2500 | 0.7215 | 0.8720 | 0.8870 | 0.8794 | 0.8790 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
