Merge remote-tracking branch 'origin/main'

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+datasets:
+- cord-layoutlmv3
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: layoutlmv3-finetuned-cord_100
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: cord-layoutlmv3
+      type: cord-layoutlmv3
+      config: cord
+      split: test
+      args: cord
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9465478841870824
+    - name: Recall
+      type: recall
+      value: 0.9543413173652695
+    - name: F1
+      type: f1
+      value: 0.9504286246738725
+    - name: Accuracy
+      type: accuracy
+      value: 0.9584040747028862
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# layoutlmv3-finetuned-cord_100
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the cord-layoutlmv3 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2090
+- Precision: 0.9465
+- Recall: 0.9543
+- F1: 0.9504
+- Accuracy: 0.9584
+
+## 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        | 1.56  | 250  | 1.0347          | 0.6965    | 0.7695 | 0.7312 | 0.7861   |
+| 1.4031        | 3.12  | 500  | 0.5641          | 0.8491    | 0.8720 | 0.8604 | 0.8744   |
+| 1.4031        | 4.69  | 750  | 0.3899          | 0.8810    | 0.9087 | 0.8946 | 0.9138   |
+| 0.4005        | 6.25  | 1000 | 0.3025          | 0.9202    | 0.9319 | 0.9260 | 0.9355   |
+| 0.4005        | 7.81  | 1250 | 0.2641          | 0.9211    | 0.9349 | 0.9279 | 0.9402   |
+| 0.2161        | 9.38  | 1500 | 0.2406          | 0.9277    | 0.9416 | 0.9346 | 0.9474   |
+| 0.2161        | 10.94 | 1750 | 0.2250          | 0.9343    | 0.9469 | 0.9405 | 0.9516   |
+| 0.1474        | 12.5  | 2000 | 0.2238          | 0.9415    | 0.9513 | 0.9464 | 0.9542   |
+| 0.1474        | 14.06 | 2250 | 0.2128          | 0.9451    | 0.9536 | 0.9493 | 0.9571   |
+| 0.1128        | 15.62 | 2500 | 0.2090          | 0.9465    | 0.9543 | 0.9504 | 0.9584   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1
+- Datasets 2.13.1
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,166 @@
+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-MENU.NM",
+    "2": "B-MENU.NUM",
+    "3": "B-MENU.UNITPRICE",
+    "4": "B-MENU.CNT",
+    "5": "B-MENU.DISCOUNTPRICE",
+    "6": "B-MENU.PRICE",
+    "7": "B-MENU.ITEMSUBTOTAL",
+    "8": "B-MENU.VATYN",
+    "9": "B-MENU.ETC",
+    "10": "B-MENU.SUB_NM",
+    "11": "B-MENU.SUB_UNITPRICE",
+    "12": "B-MENU.SUB_CNT",
+    "13": "B-MENU.SUB_PRICE",
+    "14": "B-MENU.SUB_ETC",
+    "15": "B-VOID_MENU.NM",
+    "16": "B-VOID_MENU.PRICE",
+    "17": "B-SUB_TOTAL.SUBTOTAL_PRICE",
+    "18": "B-SUB_TOTAL.DISCOUNT_PRICE",
+    "19": "B-SUB_TOTAL.SERVICE_PRICE",
+    "20": "B-SUB_TOTAL.OTHERSVC_PRICE",
+    "21": "B-SUB_TOTAL.TAX_PRICE",
+    "22": "B-SUB_TOTAL.ETC",
+    "23": "B-TOTAL.TOTAL_PRICE",
+    "24": "B-TOTAL.TOTAL_ETC",
+    "25": "B-TOTAL.CASHPRICE",
+    "26": "B-TOTAL.CHANGEPRICE",
+    "27": "B-TOTAL.CREDITCARDPRICE",
+    "28": "B-TOTAL.EMONEYPRICE",
+    "29": "B-TOTAL.MENUTYPE_CNT",
+    "30": "B-TOTAL.MENUQTY_CNT",
+    "31": "I-MENU.NM",
+    "32": "I-MENU.NUM",
+    "33": "I-MENU.UNITPRICE",
+    "34": "I-MENU.CNT",
+    "35": "I-MENU.DISCOUNTPRICE",
+    "36": "I-MENU.PRICE",
+    "37": "I-MENU.ITEMSUBTOTAL",
+    "38": "I-MENU.VATYN",
+    "39": "I-MENU.ETC",
+    "40": "I-MENU.SUB_NM",
+    "41": "I-MENU.SUB_UNITPRICE",
+    "42": "I-MENU.SUB_CNT",
+    "43": "I-MENU.SUB_PRICE",
+    "44": "I-MENU.SUB_ETC",
+    "45": "I-VOID_MENU.NM",
+    "46": "I-VOID_MENU.PRICE",
+    "47": "I-SUB_TOTAL.SUBTOTAL_PRICE",
+    "48": "I-SUB_TOTAL.DISCOUNT_PRICE",
+    "49": "I-SUB_TOTAL.SERVICE_PRICE",
+    "50": "I-SUB_TOTAL.OTHERSVC_PRICE",
+    "51": "I-SUB_TOTAL.TAX_PRICE",
+    "52": "I-SUB_TOTAL.ETC",
+    "53": "I-TOTAL.TOTAL_PRICE",
+    "54": "I-TOTAL.TOTAL_ETC",
+    "55": "I-TOTAL.CASHPRICE",
+    "56": "I-TOTAL.CHANGEPRICE",
+    "57": "I-TOTAL.CREDITCARDPRICE",
+    "58": "I-TOTAL.EMONEYPRICE",
+    "59": "I-TOTAL.MENUTYPE_CNT",
+    "60": "I-TOTAL.MENUQTY_CNT"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-MENU.CNT": 4,
+    "B-MENU.DISCOUNTPRICE": 5,
+    "B-MENU.ETC": 9,
+    "B-MENU.ITEMSUBTOTAL": 7,
+    "B-MENU.NM": 1,
+    "B-MENU.NUM": 2,
+    "B-MENU.PRICE": 6,
+    "B-MENU.SUB_CNT": 12,
+    "B-MENU.SUB_ETC": 14,
+    "B-MENU.SUB_NM": 10,
+    "B-MENU.SUB_PRICE": 13,
+    "B-MENU.SUB_UNITPRICE": 11,
+    "B-MENU.UNITPRICE": 3,
+    "B-MENU.VATYN": 8,
+    "B-SUB_TOTAL.DISCOUNT_PRICE": 18,
+    "B-SUB_TOTAL.ETC": 22,
+    "B-SUB_TOTAL.OTHERSVC_PRICE": 20,
+    "B-SUB_TOTAL.SERVICE_PRICE": 19,
+    "B-SUB_TOTAL.SUBTOTAL_PRICE": 17,
+    "B-SUB_TOTAL.TAX_PRICE": 21,
+    "B-TOTAL.CASHPRICE": 25,
+    "B-TOTAL.CHANGEPRICE": 26,
+    "B-TOTAL.CREDITCARDPRICE": 27,
+    "B-TOTAL.EMONEYPRICE": 28,
+    "B-TOTAL.MENUQTY_CNT": 30,
+    "B-TOTAL.MENUTYPE_CNT": 29,
+    "B-TOTAL.TOTAL_ETC": 24,
+    "B-TOTAL.TOTAL_PRICE": 23,
+    "B-VOID_MENU.NM": 15,
+    "B-VOID_MENU.PRICE": 16,
+    "I-MENU.CNT": 34,
+    "I-MENU.DISCOUNTPRICE": 35,
+    "I-MENU.ETC": 39,
+    "I-MENU.ITEMSUBTOTAL": 37,
+    "I-MENU.NM": 31,
+    "I-MENU.NUM": 32,
+    "I-MENU.PRICE": 36,
+    "I-MENU.SUB_CNT": 42,
+    "I-MENU.SUB_ETC": 44,
+    "I-MENU.SUB_NM": 40,
+    "I-MENU.SUB_PRICE": 43,
+    "I-MENU.SUB_UNITPRICE": 41,
+    "I-MENU.UNITPRICE": 33,
+    "I-MENU.VATYN": 38,
+    "I-SUB_TOTAL.DISCOUNT_PRICE": 48,
+    "I-SUB_TOTAL.ETC": 52,
+    "I-SUB_TOTAL.OTHERSVC_PRICE": 50,
+    "I-SUB_TOTAL.SERVICE_PRICE": 49,
+    "I-SUB_TOTAL.SUBTOTAL_PRICE": 47,
+    "I-SUB_TOTAL.TAX_PRICE": 51,
+    "I-TOTAL.CASHPRICE": 55,
+    "I-TOTAL.CHANGEPRICE": 56,
+    "I-TOTAL.CREDITCARDPRICE": 57,
+    "I-TOTAL.EMONEYPRICE": 58,
+    "I-TOTAL.MENUQTY_CNT": 60,
+    "I-TOTAL.MENUTYPE_CNT": 59,
+    "I-TOTAL.TOTAL_ETC": 54,
+    "I-TOTAL.TOTAL_PRICE": 53,
+    "I-VOID_MENU.NM": 45,
+    "I-VOID_MENU.PRICE": 46,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "patch_size": 16,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

preprocessor_config.json

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+{
+  "apply_ocr": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "LayoutLMv3FeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "LayoutLMv3ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "ocr_lang": null,
+  "processor_class": "LayoutLMv3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

pytorch_model.bin

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special_tokens_map.json

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+    "lstrip": false,
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+    "rstrip": false,
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+}

tokenizer_config.json

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+  "apply_ocr": false,
+  "bos_token": {
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+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "cls_token": {
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+    "lstrip": false,
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+  "errors": "replace",
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training_args.bin

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