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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: bank_statement_extractor-v1
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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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+ # bank_statement_extractor-v1
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0708
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+ - Precision: 0.9963
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+ - Recall: 0.9963
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+ - F1: 0.9963
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+ - Accuracy: 0.9968
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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: 2
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+ - eval_batch_size: 2
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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: 500
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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 | 5.0 | 50 | 1.6411 | 0.7203 | 0.6886 | 0.7041 | 0.7302 |
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+ | No log | 10.0 | 100 | 0.7567 | 0.9599 | 0.9634 | 0.9616 | 0.9619 |
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+ | No log | 15.0 | 150 | 0.3852 | 0.9927 | 0.9927 | 0.9927 | 0.9937 |
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+ | No log | 20.0 | 200 | 0.2156 | 0.9927 | 0.9927 | 0.9927 | 0.9937 |
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+ | No log | 25.0 | 250 | 0.1415 | 0.9963 | 0.9963 | 0.9963 | 0.9968 |
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+ | No log | 30.0 | 300 | 0.1087 | 0.9963 | 0.9963 | 0.9963 | 0.9968 |
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+ | No log | 35.0 | 350 | 0.0896 | 0.9963 | 0.9963 | 0.9963 | 0.9968 |
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+ | No log | 40.0 | 400 | 0.0779 | 0.9963 | 0.9963 | 0.9963 | 0.9968 |
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+ | No log | 45.0 | 450 | 0.0720 | 0.9963 | 0.9963 | 0.9963 | 0.9968 |
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+ | 0.4783 | 50.0 | 500 | 0.0708 | 0.9963 | 0.9963 | 0.9963 | 0.9968 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "microsoft/layoutlmv3-base",
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+ ],
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+ "0": "COLUMN_HEADER",
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+ "visual_embed": true,
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+ "vocab_size": 50265
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+ }
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