End of training

README.md

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+---
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+datasets:
+- ls-generated4
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: layoutlmv3-invoice-model
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: ls-generated4
+      type: ls-generated4
+      config: invoice
+      split: test
+      args: invoice
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9185733512786003
+    - name: Recall
+      type: recall
+      value: 0.9375
+    - name: F1
+      type: f1
+      value: 0.9279401767505099
+    - name: Accuracy
+      type: accuracy
+      value: 0.9536870503597122
+---
+
+<!-- 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-invoice-model
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the ls-generated4 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3694
+- Precision: 0.9186
+- Recall: 0.9375
+- F1: 0.9279
+- Accuracy: 0.9537
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.85  | 100  | 0.7836          | 0.5238    | 0.5982 | 0.5585 | 0.7680   |
+| No log        | 1.69  | 200  | 0.4954          | 0.6888    | 0.7479 | 0.7172 | 0.8422   |
+| No log        | 2.54  | 300  | 0.3483          | 0.7807    | 0.8462 | 0.8121 | 0.9040   |
+| No log        | 3.39  | 400  | 0.3200          | 0.8113    | 0.8654 | 0.8375 | 0.9125   |
+| 0.5923        | 4.24  | 500  | 0.2775          | 0.8593    | 0.8853 | 0.8721 | 0.9319   |
+| 0.5923        | 5.08  | 600  | 0.2674          | 0.8700    | 0.9052 | 0.8872 | 0.9377   |
+| 0.5923        | 5.93  | 700  | 0.2766          | 0.8739    | 0.9135 | 0.8932 | 0.9386   |
+| 0.5923        | 6.78  | 800  | 0.2641          | 0.8879    | 0.9190 | 0.9031 | 0.9472   |
+| 0.5923        | 7.63  | 900  | 0.2893          | 0.9094    | 0.9238 | 0.9165 | 0.9447   |
+| 0.0802        | 8.47  | 1000 | 0.3369          | 0.9145    | 0.9258 | 0.9201 | 0.9465   |
+| 0.0802        | 9.32  | 1100 | 0.3037          | 0.9043    | 0.9341 | 0.9189 | 0.9505   |
+| 0.0802        | 10.17 | 1200 | 0.3510          | 0.9032    | 0.9231 | 0.9130 | 0.9472   |
+| 0.0802        | 11.02 | 1300 | 0.3224          | 0.9138    | 0.9251 | 0.9195 | 0.9501   |
+| 0.0802        | 11.86 | 1400 | 0.3873          | 0.9133    | 0.9265 | 0.9199 | 0.9456   |
+| 0.0198        | 12.71 | 1500 | 0.3786          | 0.9120    | 0.9327 | 0.9222 | 0.9492   |
+| 0.0198        | 13.56 | 1600 | 0.3807          | 0.9050    | 0.9293 | 0.9170 | 0.9469   |
+| 0.0198        | 14.41 | 1700 | 0.3664          | 0.9088    | 0.9313 | 0.9199 | 0.9510   |
+| 0.0198        | 15.25 | 1800 | 0.3582          | 0.9152    | 0.9341 | 0.9245 | 0.9521   |
+| 0.0198        | 16.1  | 1900 | 0.3736          | 0.9198    | 0.9368 | 0.9282 | 0.9528   |
+| 0.007         | 16.95 | 2000 | 0.3694          | 0.9186    | 0.9375 | 0.9279 | 0.9537   |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

added_tokens.json

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+{
+  "</s>": 2,
+  "<mask>": 50264,
+  "<pad>": 1,
+  "<s>": 0,
+  "<unk>": 3
+}

config.json

@@ -0,0 +1,112 @@
+{
+  "_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": "B-INVOICENUMBER",
+    "1": "B-INVOICEDATE",
+    "2": "I-INVOICEDATE",
+    "3": "B-DUEDATE",
+    "4": "I-DUEDATE",
+    "5": "B-VENDORNAME",
+    "6": "I-VENDORNAME",
+    "7": "B-VENDORADDRESS",
+    "8": "I-VENDORADDRESS",
+    "9": "B-VENDORPHONE",
+    "10": "I-VENDORPHONE",
+    "11": "B-VENDOREMAIL",
+    "12": "B-CUSTOMERNAME",
+    "13": "I-CUSTOMERNAME",
+    "14": "B-CUSTOMERADDRESS",
+    "15": "I-CUSTOMERADDRESS",
+    "16": "B-CUSTOMERPHONE",
+    "17": "I-CUSTOMERPHONE",
+    "18": "B-CUSTOMEREMAIL",
+    "19": "B-PRODUCTNAME",
+    "20": "I-PRODUCTNAME",
+    "21": "B-PRODUCTPRICE",
+    "22": "I-PRODUCTPRICE",
+    "23": "B-PRODUCTAMOUNT",
+    "24": "I-PRODUCTAMOUNT",
+    "25": "B-PRODUCTQTY",
+    "26": "B-SUBTOTAL",
+    "27": "I-SUBTOTAL",
+    "28": "B-TAX",
+    "29": "I-TAX",
+    "30": "B-TOTAL",
+    "31": "I-TOTAL",
+    "32": "B-DISCOUNT",
+    "33": "O"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-CUSTOMERADDRESS": 14,
+    "B-CUSTOMEREMAIL": 18,
+    "B-CUSTOMERNAME": 12,
+    "B-CUSTOMERPHONE": 16,
+    "B-DISCOUNT": 32,
+    "B-DUEDATE": 3,
+    "B-INVOICEDATE": 1,
+    "B-INVOICENUMBER": 0,
+    "B-PRODUCTAMOUNT": 23,
+    "B-PRODUCTNAME": 19,
+    "B-PRODUCTPRICE": 21,
+    "B-PRODUCTQTY": 25,
+    "B-SUBTOTAL": 26,
+    "B-TAX": 28,
+    "B-TOTAL": 30,
+    "B-VENDORADDRESS": 7,
+    "B-VENDOREMAIL": 11,
+    "B-VENDORNAME": 5,
+    "B-VENDORPHONE": 9,
+    "I-CUSTOMERADDRESS": 15,
+    "I-CUSTOMERNAME": 13,
+    "I-CUSTOMERPHONE": 17,
+    "I-DUEDATE": 4,
+    "I-INVOICEDATE": 2,
+    "I-PRODUCTAMOUNT": 24,
+    "I-PRODUCTNAME": 20,
+    "I-PRODUCTPRICE": 22,
+    "I-SUBTOTAL": 27,
+    "I-TAX": 29,
+    "I-TOTAL": 31,
+    "I-VENDORADDRESS": 8,
+    "I-VENDORNAME": 6,
+    "I-VENDORPHONE": 10,
+    "O": 33
+  },
+  "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": "4.35.0.dev0",
+  "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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+oid sha256:ddd01aef5b6c15e649dad0e216ae75eed3bec657173272bd2f03140a97413bd6
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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "apply_ocr": false,
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "cls_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "only_label_first_subword": true,
+  "pad_token": "<pad>",
+  "pad_token_box": [
+    0,
+    0,
+    0,
+    0
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+  "pad_token_label": -100,
+  "processor_class": "LayoutLMv3Processor",
+  "sep_token": "</s>",
+  "sep_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "tokenizer_class": "LayoutLMv3Tokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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