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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: 1.0498
- Precision: 0.8132
- Recall: 0.8376
- F1: 0.8252
- Accuracy: 0.8408
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 | 41.67 | 250 | 1.0301 | 0.7519 | 0.7964 | 0.7735 | 0.7954 |
| 1.0019 | 83.33 | 500 | 0.8414 | 0.7996 | 0.8331 | 0.8160 | 0.8396 |
| 1.0019 | 125.0 | 750 | 0.9117 | 0.8097 | 0.8376 | 0.8234 | 0.8417 |
| 0.0561 | 166.67 | 1000 | 0.9434 | 0.8097 | 0.8376 | 0.8234 | 0.8408 |
| 0.0561 | 208.33 | 1250 | 1.0014 | 0.8049 | 0.8338 | 0.8191 | 0.8404 |
| 0.0208 | 250.0 | 1500 | 1.0132 | 0.8081 | 0.8353 | 0.8215 | 0.8400 |
| 0.0208 | 291.67 | 1750 | 1.0279 | 0.8154 | 0.8398 | 0.8274 | 0.8417 |
| 0.0133 | 333.33 | 2000 | 1.0402 | 0.8119 | 0.8368 | 0.8242 | 0.8408 |
| 0.0133 | 375.0 | 2250 | 1.0495 | 0.8154 | 0.8398 | 0.8274 | 0.8417 |
| 0.0108 | 416.67 | 2500 | 1.0498 | 0.8132 | 0.8376 | 0.8252 | 0.8408 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
