layoutlmv3-finetuned-arabic_books
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: 0.3112
- Precision: 0.9620
- Recall: 0.9048
- F1: 0.9325
- Accuracy: 0.9733
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 | 1.8519 | 250 | 0.2318 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0888 | 3.7037 | 500 | 0.2139 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0888 | 5.5556 | 750 | 0.2559 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0433 | 7.4074 | 1000 | 0.2578 | 0.9494 | 0.8929 | 0.9202 | 0.9679 |
0.0433 | 9.2593 | 1250 | 0.2790 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0196 | 11.1111 | 1500 | 0.2876 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0196 | 12.9630 | 1750 | 0.2946 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0068 | 14.8148 | 2000 | 0.3049 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0068 | 16.6667 | 2250 | 0.3101 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
0.0015 | 18.5185 | 2500 | 0.3112 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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