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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: 0.1720
- Precision: 0.9569
- Recall: 0.9641
- F1: 0.9605
- Accuracy: 0.9682
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 | 1.56 | 250 | 0.3320 | 0.9011 | 0.9207 | 0.9108 | 0.9253 |
| 0.3502 | 3.12 | 500 | 0.2811 | 0.9281 | 0.9371 | 0.9326 | 0.9427 |
| 0.3502 | 4.69 | 750 | 0.2429 | 0.9210 | 0.9341 | 0.9275 | 0.9435 |
| 0.162 | 6.25 | 1000 | 0.2264 | 0.9385 | 0.9476 | 0.9430 | 0.9542 |
| 0.162 | 7.81 | 1250 | 0.1996 | 0.9373 | 0.9513 | 0.9443 | 0.9601 |
| 0.0971 | 9.38 | 1500 | 0.1686 | 0.9569 | 0.9633 | 0.9601 | 0.9690 |
| 0.0971 | 10.94 | 1750 | 0.1814 | 0.9532 | 0.9603 | 0.9567 | 0.9652 |
| 0.0704 | 12.5 | 2000 | 0.1915 | 0.9539 | 0.9611 | 0.9575 | 0.9656 |
| 0.0704 | 14.06 | 2250 | 0.1833 | 0.9590 | 0.9633 | 0.9612 | 0.9677 |
| 0.0513 | 15.62 | 2500 | 0.1720 | 0.9569 | 0.9641 | 0.9605 | 0.9682 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.13.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
