Training in progress, step 500

README.md

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+---
+library_name: transformers
+base_model: layoutlmv3
+tags:
+- generated_from_trainer
+datasets:
+- mp-02/cord-sroie
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: layoutlmv3-finetuned-cord-sroie
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: mp-02/cord-sroie
+      type: mp-02/cord-sroie
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9539473684210527
+    - name: Recall
+      type: recall
+      value: 0.9618573797678275
+    - name: F1
+      type: f1
+      value: 0.9578860445912468
+    - name: Accuracy
+      type: accuracy
+      value: 0.9852276288106003
+---
+
+<!-- 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-sroie
+
+This model is a fine-tuned version of [layoutlmv3](https://huggingface.co/layoutlmv3) on the mp-02/cord-sroie dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0744
+- Precision: 0.9539
+- Recall: 0.9619
+- F1: 0.9579
+- Accuracy: 0.9852
+
+## 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: 10
+- eval_batch_size: 10
+- 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        | 1.7483  | 250  | 0.2724          | 0.7860    | 0.7768 | 0.7814 | 0.9414   |
+| 0.7002        | 3.4965  | 500  | 0.1376          | 0.9001    | 0.9325 | 0.9160 | 0.9696   |
+| 0.7002        | 5.2448  | 750  | 0.0983          | 0.9281    | 0.9417 | 0.9349 | 0.9781   |
+| 0.176         | 6.9930  | 1000 | 0.0806          | 0.9411    | 0.9429 | 0.9420 | 0.9817   |
+| 0.176         | 8.7413  | 1250 | 0.0779          | 0.9482    | 0.9462 | 0.9472 | 0.9824   |
+| 0.0951        | 10.4895 | 1500 | 0.0740          | 0.9493    | 0.9581 | 0.9537 | 0.9844   |
+| 0.0951        | 12.2378 | 1750 | 0.0744          | 0.9515    | 0.9614 | 0.9564 | 0.9848   |
+| 0.0631        | 13.9860 | 2000 | 0.0740          | 0.9512    | 0.9607 | 0.9559 | 0.9846   |
+| 0.0631        | 15.7343 | 2250 | 0.0756          | 0.9522    | 0.9588 | 0.9555 | 0.9846   |
+| 0.0496        | 17.4825 | 2500 | 0.0744          | 0.9539    | 0.9619 | 0.9579 | 0.9852   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "predict_accuracy": 0.9826576370458497,
+    "predict_f1": 0.9526000920386563,
+    "predict_loss": 0.08877082914113998,
+    "predict_precision": 0.9434822242479489,
+    "predict_recall": 0.9618959107806692,
+    "predict_runtime": 24.8279,
+    "predict_samples_per_second": 10.996,
+    "predict_steps_per_second": 1.128
+}

config.json

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+{
+  "_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.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",
+    "39": "S-COMPANY",
+    "40": "S-DATE",
+    "41": "S-ADDRESS"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-MENU.DISCOUNTPRICE": 2,
+    "B-MENU.NM": 3,
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+    "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,
+    "S-ADDRESS": 41,
+    "S-COMPANY": 39,
+    "S-DATE": 40
+  },
+  "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": "4.44.2",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

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predict_results.json

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+    "predict_f1": 0.9526000920386563,
+    "predict_loss": 0.08877082914113998,
+    "predict_precision": 0.9434822242479489,
+    "predict_recall": 0.9618959107806692,
+    "predict_runtime": 24.8279,
+    "predict_samples_per_second": 10.996,
+    "predict_steps_per_second": 1.128
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preprocessor_config.json

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special_tokens_map.json

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tokenizer_config.json

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