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layoutlmv3-finetuned-arabic_books

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README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ base_model: microsoft/layoutlmv3-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: layoutlmv3-finetuned-arabic_books
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # layoutlmv3-finetuned-arabic_books
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3112
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+ - Precision: 0.9620
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+ - Recall: 0.9048
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+ - F1: 0.9325
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+ - Accuracy: 0.9733
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 5
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+ - eval_batch_size: 5
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - training_steps: 2500
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.8519 | 250 | 0.2318 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0888 | 3.7037 | 500 | 0.2139 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0888 | 5.5556 | 750 | 0.2559 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0433 | 7.4074 | 1000 | 0.2578 | 0.9494 | 0.8929 | 0.9202 | 0.9679 |
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+ | 0.0433 | 9.2593 | 1250 | 0.2790 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0196 | 11.1111 | 1500 | 0.2876 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0196 | 12.9630 | 1750 | 0.2946 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0068 | 14.8148 | 2000 | 0.3049 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0068 | 16.6667 | 2250 | 0.3101 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+ | 0.0015 | 18.5185 | 2500 | 0.3112 | 0.9620 | 0.9048 | 0.9325 | 0.9733 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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