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layoutlmv3-finetuned-cord_100
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: 0.2137
- Precision: 0.9407
- Recall: 0.9499
- F1: 0.9453
- Accuracy: 0.9546
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 | 1.0177 | 0.7537 | 0.7994 | 0.7759 | 0.8120 |
| 1.3951 | 3.12 | 500 | 0.5566 | 0.8370 | 0.8645 | 0.8505 | 0.8731 |
| 1.3951 | 4.69 | 750 | 0.4020 | 0.8737 | 0.9012 | 0.8873 | 0.9104 |
| 0.3933 | 6.25 | 1000 | 0.3111 | 0.9182 | 0.9326 | 0.9254 | 0.9385 |
| 0.3933 | 7.81 | 1250 | 0.2657 | 0.9354 | 0.9424 | 0.9389 | 0.9465 |
| 0.2107 | 9.38 | 1500 | 0.2451 | 0.9241 | 0.9386 | 0.9313 | 0.9423 |
| 0.2107 | 10.94 | 1750 | 0.2393 | 0.9292 | 0.9424 | 0.9357 | 0.9474 |
| 0.1443 | 12.5 | 2000 | 0.2255 | 0.9298 | 0.9416 | 0.9357 | 0.9469 |
| 0.1443 | 14.06 | 2250 | 0.2159 | 0.9336 | 0.9476 | 0.9406 | 0.9542 |
| 0.1093 | 15.62 | 2500 | 0.2137 | 0.9407 | 0.9499 | 0.9453 | 0.9546 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
