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layoutlmv3-wildreceipt-v1

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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: track_traininglogs2
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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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+ # track_traininglogs2
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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: 0.3388
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+ - Precision: 0.8871
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+ - Recall: 0.8800
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+ - F1: 0.8835
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+ - Accuracy: 0.9465
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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: 5e-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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+ - num_epochs: 10
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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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+ | 0.6119 | 1.0 | 684 | 0.2890 | 0.8515 | 0.7911 | 0.8202 | 0.9172 |
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+ | 0.2969 | 2.0 | 1368 | 0.2478 | 0.8720 | 0.8279 | 0.8494 | 0.9302 |
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+ | 0.1876 | 3.0 | 2052 | 0.2418 | 0.8354 | 0.8737 | 0.8541 | 0.9332 |
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+ | 0.1476 | 4.0 | 2736 | 0.2480 | 0.8697 | 0.8620 | 0.8658 | 0.9378 |
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+ | 0.1302 | 5.0 | 3420 | 0.2707 | 0.8692 | 0.8697 | 0.8694 | 0.9405 |
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+ | 0.0798 | 6.0 | 4104 | 0.2641 | 0.8755 | 0.8798 | 0.8776 | 0.9434 |
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+ | 0.0642 | 7.0 | 4788 | 0.2694 | 0.8897 | 0.8661 | 0.8777 | 0.9449 |
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+ | 0.0502 | 8.0 | 5472 | 0.3050 | 0.8878 | 0.8741 | 0.8809 | 0.9462 |
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+ | 0.0267 | 9.0 | 6156 | 0.3379 | 0.8888 | 0.8750 | 0.8818 | 0.9453 |
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+ | 0.0273 | 10.0 | 6840 | 0.3388 | 0.8871 | 0.8800 | 0.8835 | 0.9465 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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+ {
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+ "_name_or_path": "microsoft/layoutlmv3-base",
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+ "architectures": [
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+ "LayoutLMv3ForTokenClassification"
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+ ],
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "coordinate_size": 128,
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+ "eos_token_id": 2,
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+ "has_relative_attention_bias": true,
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+ "has_spatial_attention_bias": true,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Ignore",
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+ "1": "Store_name_value",
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+ "2": "Date_value",
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+ "3": "Time_value",
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+ "4": "Prod_item_key",
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+ "5": "Prod_item_value",
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+ "6": "Prod_quantity_key",
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+ "7": "Prod_quantity_value",
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+ "8": "Prod_price_key",
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+ "9": "Prod_price_value",
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+ "10": "Subtotal_key",
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+ "11": "Subtotal_value",
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+ "12": "Total_key",
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+ "13": "Total_value",
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+ "14": "Others"
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+ },
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+ "initializer_range": 0.02,
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+ "input_size": 224,
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+ "intermediate_size": 3072,
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+ "Prod_price_key": 8,
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+ "Prod_price_value": 9,
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+ "Prod_quantity_key": 6,
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+ "Prod_quantity_value": 7,
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+ "Store_name_value": 1,
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+ "Subtotal_key": 10,
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+ "Subtotal_value": 11,
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+ "Time_value": 3,
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+ "Total_key": 12,
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+ "Total_value": 13
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+ "layer_norm_eps": 1e-05,
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "transformers_version": "4.34.0.dev0",
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+ "type_vocab_size": 1,
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+ "visual_embed": true,
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+ "vocab_size": 50265
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+ }
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