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layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the drug_bill_layoutv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- 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: 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 | 1.33 | 250 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0648 | 2.66 | 500 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0648 | 3.99 | 750 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0115 | 5.32 | 1000 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0115 | 6.65 | 1250 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0134 | 7.98 | 1500 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0134 | 9.31 | 1750 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0045 | 10.64 | 2000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0045 | 11.97 | 2250 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0004 | 13.3 | 2500 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
