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README.md

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+---
+library_name: transformers.js
+license: cc-by-nc-sa-4.0
+base_model:
+- mp-02/layoutlmv3-base-cord
+tags:
+- generated_from_trainer
+datasets:
+- mp-02/cord
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: layoutlmv3-base-cord
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: mp-02/cord
+      type: mp-02/cord
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9752270850536746
+    - name: Recall
+      type: recall
+      value: 0.9784589892294946
+    - name: F1
+      type: f1
+      value: 0.976840363937138
+    - name: Accuracy
+      type: accuracy
+      value: 0.973924977127173
+pipeline_tag: token-classification
+---
+
+
+
+# layoutlmv3-base-cord (ONNX)
+
+
+This is an ONNX version of [mp-02/layoutlmv3-base-cord](https://huggingface.co/mp-02/layoutlmv3-base-cord). It was automatically converted and uploaded using [this Hugging Face Space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
+
+
+## Usage with Transformers.js
+
+
+See the pipeline documentation for `token-classification`: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TokenClassificationPipeline
+
+
+---
+
+
+<!-- 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-base-cord
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the mp-02/cord dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1517
+- Precision: 0.9752
+- Recall: 0.9785
+- F1: 0.9768
+- Accuracy: 0.9739
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 2.0   | 100  | 0.8667          | 0.7592    | 0.8202 | 0.7885 | 0.8097   |
+| No log        | 4.0   | 200  | 0.3443          | 0.9122    | 0.9387 | 0.9253 | 0.9222   |
+| No log        | 6.0   | 300  | 0.2128          | 0.9345    | 0.9569 | 0.9456 | 0.9579   |
+| No log        | 8.0   | 400  | 0.1745          | 0.9440    | 0.9635 | 0.9537 | 0.9629   |
+| 0.6362        | 10.0  | 500  | 0.1594          | 0.9559    | 0.9702 | 0.9630 | 0.9684   |
+| 0.6362        | 12.0  | 600  | 0.1720          | 0.9630    | 0.9693 | 0.9661 | 0.9629   |
+| 0.6362        | 14.0  | 700  | 0.1528          | 0.9607    | 0.9710 | 0.9658 | 0.9675   |
+| 0.6362        | 16.0  | 800  | 0.1460          | 0.9638    | 0.9718 | 0.9678 | 0.9680   |
+| 0.6362        | 18.0  | 900  | 0.1609          | 0.9614    | 0.9702 | 0.9658 | 0.9648   |
+| 0.0536        | 20.0  | 1000 | 0.1517          | 0.9752    | 0.9785 | 0.9768 | 0.9739   |
+| 0.0536        | 22.0  | 1100 | 0.1901          | 0.9614    | 0.9693 | 0.9653 | 0.9657   |
+| 0.0536        | 24.0  | 1200 | 0.1867          | 0.9638    | 0.9718 | 0.9678 | 0.9666   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "mp-02/layoutlmv3-base-cord",
+  "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.CNT",
+    "2": "B-MENU.DISCOUNTPRICE",
+    "3": "B-MENU.NM",
+    "4": "B-MENU.NUM",
+    "5": "B-MENU.PRICE",
+    "6": "B-MENU.SUB.CNT",
+    "7": "B-MENU.SUB.NM",
+    "8": "B-MENU.SUB.PRICE",
+    "9": "B-MENU.UNITPRICE",
+    "10": "B-SUB_TOTAL.DISCOUNT_PRICE",
+    "11": "B-SUB_TOTAL.ETC",
+    "12": "B-SUB_TOTAL.SERVICE_PRICE",
+    "13": "B-SUB_TOTAL.SUBTOTAL_PRICE",
+    "14": "B-SUB_TOTAL.TAX_PRICE",
+    "15": "B-TOTAL.CASHPRICE",
+    "16": "B-TOTAL.CHANGEPRICE",
+    "17": "B-TOTAL.CREDITCARDPRICE",
+    "18": "B-TOTAL.MENUQTY_CNT",
+    "19": "B-TOTAL.TOTAL_PRICE",
+    "20": "I-MENU.CNT",
+    "21": "I-MENU.DISCOUNTPRICE",
+    "22": "I-MENU.NM",
+    "23": "I-MENU.NUM",
+    "24": "I-MENU.PRICE",
+    "25": "I-MENU.SUB.CNT",
+    "26": "I-MENU.SUB.NM",
+    "27": "I-MENU.SUB.PRICE",
+    "28": "I-MENU.UNITPRICE",
+    "29": "I-SUB_TOTAL.DISCOUNT_PRICE",
+    "30": "I-SUB_TOTAL.ETC",
+    "31": "I-SUB_TOTAL.SERVICE_PRICE",
+    "32": "I-SUB_TOTAL.SUBTOTAL_PRICE",
+    "33": "I-SUB_TOTAL.TAX_PRICE",
+    "34": "I-TOTAL.CASHPRICE",
+    "35": "I-TOTAL.CHANGEPRICE",
+    "36": "I-TOTAL.CREDITCARDPRICE",
+    "37": "I-TOTAL.MENUQTY_CNT",
+    "38": "I-TOTAL.TOTAL_PRICE"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-MENU.CNT": 1,
+    "B-MENU.DISCOUNTPRICE": 2,
+    "B-MENU.NM": 3,
+    "B-MENU.NUM": 4,
+    "B-MENU.PRICE": 5,
+    "B-MENU.SUB.CNT": 6,
+    "B-MENU.SUB.NM": 7,
+    "B-MENU.SUB.PRICE": 8,
+    "B-MENU.UNITPRICE": 9,
+    "B-SUB_TOTAL.DISCOUNT_PRICE": 10,
+    "B-SUB_TOTAL.ETC": 11,
+    "B-SUB_TOTAL.SERVICE_PRICE": 12,
+    "B-SUB_TOTAL.SUBTOTAL_PRICE": 13,
+    "B-SUB_TOTAL.TAX_PRICE": 14,
+    "B-TOTAL.CASHPRICE": 15,
+    "B-TOTAL.CHANGEPRICE": 16,
+    "B-TOTAL.CREDITCARDPRICE": 17,
+    "B-TOTAL.MENUQTY_CNT": 18,
+    "B-TOTAL.TOTAL_PRICE": 19,
+    "I-MENU.CNT": 20,
+    "I-MENU.DISCOUNTPRICE": 21,
+    "I-MENU.NM": 22,
+    "I-MENU.NUM": 23,
+    "I-MENU.PRICE": 24,
+    "I-MENU.SUB.CNT": 25,
+    "I-MENU.SUB.NM": 26,
+    "I-MENU.SUB.PRICE": 27,
+    "I-MENU.UNITPRICE": 28,
+    "I-SUB_TOTAL.DISCOUNT_PRICE": 29,
+    "I-SUB_TOTAL.ETC": 30,
+    "I-SUB_TOTAL.SERVICE_PRICE": 31,
+    "I-SUB_TOTAL.SUBTOTAL_PRICE": 32,
+    "I-SUB_TOTAL.TAX_PRICE": 33,
+    "I-TOTAL.CASHPRICE": 34,
+    "I-TOTAL.CHANGEPRICE": 35,
+    "I-TOTAL.CREDITCARDPRICE": 36,
+    "I-TOTAL.MENUQTY_CNT": 37,
+    "I-TOTAL.TOTAL_PRICE": 38,
+    "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": "4.49.0",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

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preprocessor_config.json

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

quantize_config.json

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+{
+    "modes": [
+        "fp16",
+        "q8",
+        "int8",
+        "uint8",
+        "q4",
+        "q4f16",
+        "bnb4"
+    ],
+    "per_channel": true,
+    "reduce_range": true,
+    "block_size": null,
+    "is_symmetric": true,
+    "accuracy_level": null,
+    "quant_type": 1,
+    "op_block_list": null
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
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+    "lstrip": false,
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+    "rstrip": false,
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+    "rstrip": false,
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+    "lstrip": false,
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+    "single_word": false
+  },
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "special": true
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+    "50264": {
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+      "lstrip": true,
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+      "special": true
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+  },
+  "apply_ocr": false,
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "cls_token_box": [
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+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "only_label_first_subword": true,
+  "pad_token": "<pad>",
+  "pad_token_box": [
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+  "processor_class": "LayoutLMv3Processor",
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+  "tokenizer_class": "LayoutLMv3Tokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>",
+  "use_fast": true
+}