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End of training

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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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+ datasets:
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+ - generated
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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-invoice
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: generated
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+ type: generated
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+ config: sroie
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+ split: test
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+ args: sroie
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+ metrics:
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+ - name: Precision
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+ type: precision
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+ value: 0.010438413361169102
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+ - name: Recall
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+ type: recall
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+ value: 0.02028397565922921
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+ - name: F1
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+ type: f1
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+ value: 0.013783597518952447
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.6785338108278913
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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-invoice
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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 generated dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1320
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+ - Precision: 0.0104
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+ - Recall: 0.0203
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+ - F1: 0.0138
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+ - Accuracy: 0.6785
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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: 1
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+ - eval_batch_size: 1
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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: 5
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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 | 0.01 | 1 | 2.3858 | 0.0114 | 0.0649 | 0.0194 | 0.1904 |
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+ | No log | 0.02 | 2 | 2.2795 | 0.0108 | 0.0527 | 0.0180 | 0.3240 |
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+ | No log | 0.03 | 3 | 2.2072 | 0.0131 | 0.0446 | 0.0203 | 0.5155 |
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+ | No log | 0.04 | 4 | 2.1575 | 0.0103 | 0.0243 | 0.0145 | 0.6345 |
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+ | No log | 0.05 | 5 | 2.1320 | 0.0104 | 0.0203 | 0.0138 | 0.6785 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ {
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+ "_name_or_path": "microsoft/layoutlmv3-base",
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+ "LayoutLMv3ForTokenClassification"
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+ ],
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+ "hidden_dropout_prob": 0.1,
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+ "id2label": {
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+ "0": "O",
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+ "1": "B-ABN",
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+ "2": "B-BILLER",
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+ "3": "B-BILLER_ADDRESS",
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+ "4": "B-BILLER_POST_CODE",
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+ "5": "B-DUE_DATE",
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+ "6": "B-GST",
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+ "7": "B-INVOICE_DATE",
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+ "8": "B-INVOICE_NUMBER",
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+ "9": "B-SUBTOTAL",
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+ "10": "B-TOTAL",
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+ "11": "I-BILLER_ADDRESS"
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+ },
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+ "B-TOTAL": 10,
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+ },
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+ "rel_pos_bins": 32,
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