layoutlmv3-model-ubiai-finetuned

README.md

@@ -0,0 +1,100 @@
+---
+library_name: transformers
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlmv3-finetuned-ubiai-dataset-invoice-3
+  results: []
+---
+
+<!-- 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-ubiai-dataset-invoice-3
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0901
+- B-b-address: {'precision': 1.0, 'recall': 0.8461538461538461, 'f1': 0.9166666666666666, 'number': 13}
+- B-b-name: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}
+- B-order date: {'precision': 1.0, 'recall': 0.14285714285714285, 'f1': 0.25, 'number': 7}
+- B-s-address: {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}
+- B-s-name: {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10}
+- B-total gross: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
+- E-b-address: {'precision': 0.8333333333333334, 'recall': 0.7692307692307693, 'f1': 0.8, 'number': 13}
+- E-b-name: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}
+- E-order date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}
+- E-s-address: {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}
+- E-s-name: {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 10}
+- E-total gross: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
+- I-b-address: {'precision': 0.9664429530201343, 'recall': 1.0, 'f1': 0.9829351535836178, 'number': 144}
+- I-b-name: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}
+- I-order date: {'precision': 0.5263157894736842, 'recall': 1.0, 'f1': 0.6896551724137931, 'number': 10}
+- I-s-address: {'precision': 0.9807692307692307, 'recall': 1.0, 'f1': 0.9902912621359222, 'number': 204}
+- I-s-name: {'precision': 0.9696969696969697, 'recall': 1.0, 'f1': 0.9846153846153847, 'number': 32}
+- S-b-address: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
+- S-gst no: {'precision': 0.6923076923076923, 'recall': 1.0, 'f1': 0.8181818181818181, 'number': 9}
+- S-invoice no: {'precision': 0.8181818181818182, 'recall': 0.9, 'f1': 0.8571428571428572, 'number': 10}
+- S-order date: {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 3}
+- S-order no: {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}
+- S-s-address: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
+- S-total gross: {'precision': 0.6363636363636364, 'recall': 0.7777777777777778, 'f1': 0.7000000000000001, 'number': 9}
+- Overall Precision: 0.9386
+- Overall Recall: 0.9369
+- Overall F1: 0.9378
+- Overall Accuracy: 0.9851
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | B-b-address                                                                                | B-b-name                                                                                 | B-order date                                                               | B-s-address                                                                                               | B-s-name                                                                                 | B-total gross                                             | E-b-address                                                                                             | E-b-name                                                                   | E-order date                                              | E-s-address                                                                                             | E-s-name                                                                                 | E-total gross                                             | I-b-address                                                                                              | I-b-name                                                                                 | I-order date                                                                             | I-s-address                                                                                              | I-s-name                                                                                     | S-b-address                                               | S-gst no                                                                                  | S-invoice no                                                                             | S-order date                                                                                           | S-order no                                                                                | S-s-address                                               | S-total gross                                                                                          | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:---------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------:|:---------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:---------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------:|:---------------------------------------------------------:|:-----------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------:|:---------------------------------------------------------:|:------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 1.7253        | 1.0   | 12   | 1.0196          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 144}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 204}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}                                   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.0               | 0.0            | 0.0        | 0.7697           |
+| 0.8858        | 2.0   | 24   | 0.7540          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 144}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.4326241134751773, 'recall': 0.8970588235294118, 'f1': 0.583732057416268, 'number': 204}  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}                                   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.4326            | 0.3297         | 0.3742     | 0.8170           |
+| 0.6423        | 3.0   | 36   | 0.5378          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6684210526315789, 'recall': 0.8819444444444444, 'f1': 0.7604790419161677, 'number': 144} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.6690647482014388, 'recall': 0.9117647058823529, 'f1': 0.7717842323651452, 'number': 204} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}                                   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.6688            | 0.5640         | 0.6119     | 0.8967           |
+| 0.4856        | 4.0   | 48   | 0.4719          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.7062146892655368, 'recall': 0.8680555555555556, 'f1': 0.7788161993769471, 'number': 144} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.6494845360824743, 'recall': 0.9264705882352942, 'f1': 0.7636363636363637, 'number': 204} | {'precision': 0.16666666666666666, 'recall': 0.25, 'f1': 0.2, 'number': 32}                  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.6240            | 0.5802         | 0.6013     | 0.8992           |
+| 0.3184        | 5.0   | 60   | 0.3890          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.7071823204419889, 'recall': 0.8888888888888888, 'f1': 0.7876923076923077, 'number': 144} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.8281938325991189, 'recall': 0.9215686274509803, 'f1': 0.8723897911832945, 'number': 204} | {'precision': 0.25, 'recall': 0.75, 'f1': 0.375, 'number': 32}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.6746            | 0.6126         | 0.6421     | 0.9108           |
+| 0.2886        | 6.0   | 72   | 0.3365          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 1.0, 'recall': 0.1, 'f1': 0.18181818181818182, 'number': 10}               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.6666666666666666, 'recall': 0.14285714285714285, 'f1': 0.23529411764705882, 'number': 14} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.7384615384615385, 'recall': 1.0, 'f1': 0.8495575221238938, 'number': 144}                | {'precision': 1.0, 'recall': 0.2, 'f1': 0.33333333333333337, 'number': 10}               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.8355555555555556, 'recall': 0.9215686274509803, 'f1': 0.8764568764568765, 'number': 204} | {'precision': 0.22988505747126436, 'recall': 0.625, 'f1': 0.33613445378151263, 'number': 32} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.625, 'recall': 0.5555555555555556, 'f1': 0.5882352941176471, 'number': 9} | {'precision': 0.5, 'recall': 0.3, 'f1': 0.37499999999999994, 'number': 10}               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}                                              | {'precision': 1.0, 'recall': 0.1, 'f1': 0.18181818181818182, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.6932            | 0.6595         | 0.6759     | 0.9203           |
+| 0.2639        | 7.0   | 84   | 0.2723          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                 | {'precision': 1.0, 'recall': 0.7, 'f1': 0.8235294117647058, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.7857142857142857, 'recall': 0.7857142857142857, 'f1': 0.7857142857142857, 'number': 14}   | {'precision': 1.0, 'recall': 0.3, 'f1': 0.4615384615384615, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 1.0, 'recall': 0.2, 'f1': 0.33333333333333337, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 14}                                              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.7647058823529411, 'recall': 0.9930555555555556, 'f1': 0.8640483383685801, 'number': 144} | {'precision': 0.6, 'recall': 0.3, 'f1': 0.4, 'number': 10}                               | {'precision': 1.0, 'recall': 0.2, 'f1': 0.33333333333333337, 'number': 10}               | {'precision': 0.9356435643564357, 'recall': 0.9264705882352942, 'f1': 0.9310344827586207, 'number': 204} | {'precision': 0.5166666666666667, 'recall': 0.96875, 'f1': 0.673913043478261, 'number': 32}  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.8, 'recall': 0.8888888888888888, 'f1': 0.8421052631578948, 'number': 9}   | {'precision': 0.4, 'recall': 0.8, 'f1': 0.5333333333333333, 'number': 10}                | {'precision': 1.0, 'recall': 0.3333333333333333, 'f1': 0.5, 'number': 3}                               | {'precision': 1.0, 'recall': 0.1, 'f1': 0.18181818181818182, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9}                                              | 0.7957            | 0.7369         | 0.7652     | 0.9386           |
+| 0.2236        | 8.0   | 96   | 0.2266          | {'precision': 1.0, 'recall': 0.07692307692307693, 'f1': 0.14285714285714288, 'number': 13} | {'precision': 0.7777777777777778, 'recall': 0.7, 'f1': 0.7368421052631577, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.8181818181818182, 'recall': 0.6428571428571429, 'f1': 0.7200000000000001, 'number': 14}   | {'precision': 1.0, 'recall': 0.4, 'f1': 0.5714285714285715, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 13}                                              | {'precision': 0.75, 'recall': 0.3, 'f1': 0.4285714285714285, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 1.0, 'recall': 0.07142857142857142, 'f1': 0.13333333333333333, 'number': 14}              | {'precision': 0.5, 'recall': 0.1, 'f1': 0.16666666666666669, 'number': 10}               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 144}                              | {'precision': 0.75, 'recall': 0.9, 'f1': 0.8181818181818182, 'number': 10}               | {'precision': 1.0, 'recall': 0.7, 'f1': 0.8235294117647058, 'number': 10}                | {'precision': 0.9043062200956937, 'recall': 0.9264705882352942, 'f1': 0.9152542372881356, 'number': 204} | {'precision': 0.6086956521739131, 'recall': 0.875, 'f1': 0.717948717948718, 'number': 32}    | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 9}                 | {'precision': 0.45, 'recall': 0.9, 'f1': 0.6, 'number': 10}                              | {'precision': 1.0, 'recall': 0.6666666666666666, 'f1': 0.8, 'number': 3}                               | {'precision': 0.5714285714285714, 'recall': 0.4, 'f1': 0.47058823529411764, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.8, 'recall': 0.4444444444444444, 'f1': 0.5714285714285714, 'number': 9}                | 0.7923            | 0.7766         | 0.7843     | 0.9481           |
+| 0.194         | 9.0   | 108  | 0.1814          | {'precision': 1.0, 'recall': 0.15384615384615385, 'f1': 0.2666666666666667, 'number': 13}  | {'precision': 0.7142857142857143, 'recall': 1.0, 'f1': 0.8333333333333333, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.8461538461538461, 'recall': 0.7857142857142857, 'f1': 0.8148148148148148, 'number': 14}   | {'precision': 1.0, 'recall': 0.8, 'f1': 0.888888888888889, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 1.0, 'recall': 0.23076923076923078, 'f1': 0.375, 'number': 13}                            | {'precision': 1.0, 'recall': 0.8, 'f1': 0.888888888888889, 'number': 10}   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.6470588235294118, 'recall': 0.7857142857142857, 'f1': 0.7096774193548386, 'number': 14} | {'precision': 1.0, 'recall': 0.7, 'f1': 0.8235294117647058, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.8780487804878049, 'recall': 1.0, 'f1': 0.9350649350649352, 'number': 144}                | {'precision': 0.7692307692307693, 'recall': 1.0, 'f1': 0.8695652173913044, 'number': 10} | {'precision': 0.6666666666666666, 'recall': 1.0, 'f1': 0.8, 'number': 10}                | {'precision': 0.9838709677419355, 'recall': 0.8970588235294118, 'f1': 0.9384615384615386, 'number': 204} | {'precision': 0.8857142857142857, 'recall': 0.96875, 'f1': 0.9253731343283582, 'number': 32} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.5294117647058824, 'recall': 1.0, 'f1': 0.6923076923076924, 'number': 9}   | {'precision': 0.6666666666666666, 'recall': 0.8, 'f1': 0.7272727272727272, 'number': 10} | {'precision': 1.0, 'recall': 0.6666666666666666, 'f1': 0.8, 'number': 3}                               | {'precision': 0.8181818181818182, 'recall': 0.9, 'f1': 0.8571428571428572, 'number': 10}  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.625, 'recall': 0.5555555555555556, 'f1': 0.5882352941176471, 'number': 9}              | 0.8804            | 0.8486         | 0.8642     | 0.9651           |
+| 0.1412        | 10.0  | 120  | 0.1529          | {'precision': 1.0, 'recall': 0.46153846153846156, 'f1': 0.631578947368421, 'number': 13}   | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 0.9166666666666666, 'recall': 0.7857142857142857, 'f1': 0.8461538461538461, 'number': 14}   | {'precision': 0.8888888888888888, 'recall': 0.8, 'f1': 0.8421052631578948, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.8888888888888888, 'recall': 0.6153846153846154, 'f1': 0.7272727272727274, 'number': 13} | {'precision': 1.0, 'recall': 0.8, 'f1': 0.888888888888889, 'number': 10}   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.9090909090909091, 'recall': 0.7142857142857143, 'f1': 0.8, 'number': 14}                | {'precision': 0.875, 'recall': 0.7, 'f1': 0.7777777777777777, 'number': 10}              | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.9290322580645162, 'recall': 1.0, 'f1': 0.963210702341137, 'number': 144}                 | {'precision': 0.8333333333333334, 'recall': 1.0, 'f1': 0.9090909090909091, 'number': 10} | {'precision': 0.6666666666666666, 'recall': 1.0, 'f1': 0.8, 'number': 10}                | {'precision': 0.9742268041237113, 'recall': 0.9264705882352942, 'f1': 0.949748743718593, 'number': 204}  | {'precision': 0.8888888888888888, 'recall': 1.0, 'f1': 0.9411764705882353, 'number': 32}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.5625, 'recall': 1.0, 'f1': 0.72, 'number': 9}                             | {'precision': 0.8181818181818182, 'recall': 0.9, 'f1': 0.8571428571428572, 'number': 10} | {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1': 0.6666666666666666, 'number': 3} | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 10}                                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.5454545454545454, 'recall': 0.6666666666666666, 'f1': 0.6, 'number': 9}                | 0.9086            | 0.8775         | 0.8928     | 0.9718           |
+| 0.1239        | 11.0  | 132  | 0.1275          | {'precision': 1.0, 'recall': 0.6153846153846154, 'f1': 0.761904761904762, 'number': 13}    | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 1.0, 'recall': 0.14285714285714285, 'f1': 0.25, 'number': 7} | {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}                                | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}                | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.9, 'recall': 0.6923076923076923, 'f1': 0.7826086956521738, 'number': 13}                | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}  | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.9090909090909091, 'recall': 0.7142857142857143, 'f1': 0.8, 'number': 14}                | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.9411764705882353, 'recall': 1.0, 'f1': 0.9696969696969697, 'number': 144}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5882352941176471, 'recall': 1.0, 'f1': 0.7407407407407407, 'number': 10} | {'precision': 0.9754901960784313, 'recall': 0.9754901960784313, 'f1': 0.9754901960784313, 'number': 204} | {'precision': 0.9696969696969697, 'recall': 1.0, 'f1': 0.9846153846153847, 'number': 32}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6428571428571429, 'recall': 1.0, 'f1': 0.782608695652174, 'number': 9}    | {'precision': 0.75, 'recall': 0.9, 'f1': 0.8181818181818182, 'number': 10}               | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 3}                              | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6363636363636364, 'recall': 0.7777777777777778, 'f1': 0.7000000000000001, 'number': 9} | 0.9287            | 0.9153         | 0.9220     | 0.9805           |
+| 0.1098        | 12.0  | 144  | 0.1056          | {'precision': 1.0, 'recall': 0.8461538461538461, 'f1': 0.9166666666666666, 'number': 13}   | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7}                  | {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}                                | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.9, 'recall': 0.6923076923076923, 'f1': 0.7826086956521738, 'number': 13}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.9090909090909091, 'recall': 0.7142857142857143, 'f1': 0.8, 'number': 14}                | {'precision': 0.8888888888888888, 'recall': 0.8, 'f1': 0.8421052631578948, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.96, 'recall': 1.0, 'f1': 0.9795918367346939, 'number': 144}                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5263157894736842, 'recall': 1.0, 'f1': 0.6896551724137931, 'number': 10} | {'precision': 0.9760765550239234, 'recall': 1.0, 'f1': 0.9878934624697336, 'number': 204}                | {'precision': 0.9411764705882353, 'recall': 1.0, 'f1': 0.9696969696969697, 'number': 32}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6428571428571429, 'recall': 1.0, 'f1': 0.782608695652174, 'number': 9}    | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 10}                               | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 3}                              | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6, 'recall': 0.6666666666666666, 'f1': 0.631578947368421, 'number': 9}                 | 0.9330            | 0.9279         | 0.9304     | 0.9834           |
+| 0.1024        | 13.0  | 156  | 0.0963          | {'precision': 1.0, 'recall': 0.7692307692307693, 'f1': 0.8695652173913044, 'number': 13}   | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 1.0, 'recall': 0.14285714285714285, 'f1': 0.25, 'number': 7} | {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}                                | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.9, 'recall': 0.6923076923076923, 'f1': 0.7826086956521738, 'number': 13}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.9166666666666666, 'recall': 0.7857142857142857, 'f1': 0.8461538461538461, 'number': 14} | {'precision': 0.8888888888888888, 'recall': 0.8, 'f1': 0.8421052631578948, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.9536423841059603, 'recall': 1.0, 'f1': 0.976271186440678, 'number': 144}                 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5263157894736842, 'recall': 1.0, 'f1': 0.6896551724137931, 'number': 10} | {'precision': 0.9807692307692307, 'recall': 1.0, 'f1': 0.9902912621359222, 'number': 204}                | {'precision': 0.9411764705882353, 'recall': 1.0, 'f1': 0.9696969696969697, 'number': 32}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 9}                 | {'precision': 0.8181818181818182, 'recall': 0.9, 'f1': 0.8571428571428572, 'number': 10} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 3}                              | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6666666666666666, 'recall': 0.8888888888888888, 'f1': 0.761904761904762, 'number': 9}  | 0.9350            | 0.9333         | 0.9342     | 0.9846           |
+| 0.0921        | 14.0  | 168  | 0.0926          | {'precision': 1.0, 'recall': 0.8461538461538461, 'f1': 0.9166666666666666, 'number': 13}   | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 1.0, 'recall': 0.14285714285714285, 'f1': 0.25, 'number': 7} | {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}                                | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.9090909090909091, 'recall': 0.7692307692307693, 'f1': 0.8333333333333333, 'number': 13} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 0.9166666666666666, 'recall': 0.7857142857142857, 'f1': 0.8461538461538461, 'number': 14} | {'precision': 0.8888888888888888, 'recall': 0.8, 'f1': 0.8421052631578948, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.9664429530201343, 'recall': 1.0, 'f1': 0.9829351535836178, 'number': 144}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5263157894736842, 'recall': 1.0, 'f1': 0.6896551724137931, 'number': 10} | {'precision': 0.9807692307692307, 'recall': 1.0, 'f1': 0.9902912621359222, 'number': 204}                | {'precision': 0.9411764705882353, 'recall': 1.0, 'f1': 0.9696969696969697, 'number': 32}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 9}                 | {'precision': 0.8181818181818182, 'recall': 0.9, 'f1': 0.8571428571428572, 'number': 10} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 3}                              | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6363636363636364, 'recall': 0.7777777777777778, 'f1': 0.7000000000000001, 'number': 9} | 0.9385            | 0.9351         | 0.9368     | 0.9851           |
+| 0.1018        | 15.0  | 180  | 0.0901          | {'precision': 1.0, 'recall': 0.8461538461538461, 'f1': 0.9166666666666666, 'number': 13}   | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 1.0, 'recall': 0.14285714285714285, 'f1': 0.25, 'number': 7} | {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}                                | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.8333333333333334, 'recall': 0.7692307692307693, 'f1': 0.8, 'number': 13}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 7} | {'precision': 1.0, 'recall': 0.7857142857142857, 'f1': 0.88, 'number': 14}                              | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 10}                               | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.9664429530201343, 'recall': 1.0, 'f1': 0.9829351535836178, 'number': 144}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5263157894736842, 'recall': 1.0, 'f1': 0.6896551724137931, 'number': 10} | {'precision': 0.9807692307692307, 'recall': 1.0, 'f1': 0.9902912621359222, 'number': 204}                | {'precision': 0.9696969696969697, 'recall': 1.0, 'f1': 0.9846153846153847, 'number': 32}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6923076923076923, 'recall': 1.0, 'f1': 0.8181818181818181, 'number': 9}   | {'precision': 0.8181818181818182, 'recall': 0.9, 'f1': 0.8571428571428572, 'number': 10} | {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 3}                              | {'precision': 1.0, 'recall': 0.9, 'f1': 0.9473684210526316, 'number': 10}                 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.6363636363636364, 'recall': 0.7777777777777778, 'f1': 0.7000000000000001, 'number': 9} | 0.9386            | 0.9369         | 0.9378     | 0.9851           |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,102 @@
+{
+  "_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-B-ADDRESS",
+    "1": "B-B-NAME",
+    "2": "B-INVOICE NO",
+    "3": "B-ORDER DATE",
+    "4": "B-S-ADDRESS",
+    "5": "B-S-NAME",
+    "6": "B-TOTAL GROSS",
+    "7": "E-B-ADDRESS",
+    "8": "E-B-NAME",
+    "9": "E-INVOICE NO",
+    "10": "E-ORDER DATE",
+    "11": "E-S-ADDRESS",
+    "12": "E-S-NAME",
+    "13": "E-TOTAL GROSS",
+    "14": "I-B-ADDRESS",
+    "15": "I-B-NAME",
+    "16": "I-INVOICE NO",
+    "17": "I-ORDER DATE",
+    "18": "I-S-ADDRESS",
+    "19": "I-S-NAME",
+    "20": "O",
+    "21": "S-B-ADDRESS",
+    "22": "S-B-NAME",
+    "23": "S-GST NO",
+    "24": "S-INVOICE NO",
+    "25": "S-ORDER DATE",
+    "26": "S-ORDER NO",
+    "27": "S-S-ADDRESS",
+    "28": "S-TOTAL GROSS"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-B-ADDRESS": 0,
+    "B-B-NAME": 1,
+    "B-INVOICE NO": 2,
+    "B-ORDER DATE": 3,
+    "B-S-ADDRESS": 4,
+    "B-S-NAME": 5,
+    "B-TOTAL GROSS": 6,
+    "E-B-ADDRESS": 7,
+    "E-B-NAME": 8,
+    "E-INVOICE NO": 9,
+    "E-ORDER DATE": 10,
+    "E-S-ADDRESS": 11,
+    "E-S-NAME": 12,
+    "E-TOTAL GROSS": 13,
+    "I-B-ADDRESS": 14,
+    "I-B-NAME": 15,
+    "I-INVOICE NO": 16,
+    "I-ORDER DATE": 17,
+    "I-S-ADDRESS": 18,
+    "I-S-NAME": 19,
+    "O": 20,
+    "S-B-ADDRESS": 21,
+    "S-B-NAME": 22,
+    "S-GST NO": 23,
+    "S-INVOICE NO": 24,
+    "S-ORDER DATE": 25,
+    "S-ORDER NO": 26,
+    "S-S-ADDRESS": 27,
+    "S-TOTAL GROSS": 28
+  },
+  "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
+}

eval_split/data-00000-of-00001.arrow

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c66668792a244255ffff90367a5e59f70d7e1a3b2f7c9a2ff14792f9a5c283d4
+size 6358320

eval_split/dataset_info.json

@@ -0,0 +1,76 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "pixel_values": {
+      "shape": [
+        3,
+        224,
+        224
+      ],
+      "dtype": "float32",
+      "_type": "Array3D"
+    },
+    "input_ids": {
+      "feature": {
+        "dtype": "int64",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "attention_mask": {
+      "feature": {
+        "dtype": "int64",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "bbox": {
+      "shape": [
+        512,
+        4
+      ],
+      "dtype": "int64",
+      "_type": "Array2D"
+    },
+    "labels": {
+      "feature": {
+        "names": [
+          "B-B-ADDRESS",
+          "B-B-NAME",
+          "B-INVOICE NO",
+          "B-ORDER DATE",
+          "B-S-ADDRESS",
+          "B-S-NAME",
+          "B-TOTAL GROSS",
+          "E-B-ADDRESS",
+          "E-B-NAME",
+          "E-INVOICE NO",
+          "E-ORDER DATE",
+          "E-S-ADDRESS",
+          "E-S-NAME",
+          "E-TOTAL GROSS",
+          "I-B-ADDRESS",
+          "I-B-NAME",
+          "I-INVOICE NO",
+          "I-ORDER DATE",
+          "I-S-ADDRESS",
+          "I-S-NAME",
+          "O",
+          "S-B-ADDRESS",
+          "S-B-NAME",
+          "S-GST NO",
+          "S-INVOICE NO",
+          "S-ORDER DATE",
+          "S-ORDER NO",
+          "S-S-ADDRESS",
+          "S-TOTAL GROSS"
+        ],
+        "_type": "ClassLabel"
+      },
+      "_type": "Sequence"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

eval_split/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "3b97732802d99000",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}

final_model/config.json

@@ -0,0 +1,102 @@
+{
+  "_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-B-ADDRESS",
+    "1": "B-B-NAME",
+    "2": "B-INVOICE NO",
+    "3": "B-ORDER DATE",
+    "4": "B-S-ADDRESS",
+    "5": "B-S-NAME",
+    "6": "B-TOTAL GROSS",
+    "7": "E-B-ADDRESS",
+    "8": "E-B-NAME",
+    "9": "E-INVOICE NO",
+    "10": "E-ORDER DATE",
+    "11": "E-S-ADDRESS",
+    "12": "E-S-NAME",
+    "13": "E-TOTAL GROSS",
+    "14": "I-B-ADDRESS",
+    "15": "I-B-NAME",
+    "16": "I-INVOICE NO",
+    "17": "I-ORDER DATE",
+    "18": "I-S-ADDRESS",
+    "19": "I-S-NAME",
+    "20": "O",
+    "21": "S-B-ADDRESS",
+    "22": "S-B-NAME",
+    "23": "S-GST NO",
+    "24": "S-INVOICE NO",
+    "25": "S-ORDER DATE",
+    "26": "S-ORDER NO",
+    "27": "S-S-ADDRESS",
+    "28": "S-TOTAL GROSS"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-B-ADDRESS": 0,
+    "B-B-NAME": 1,
+    "B-INVOICE NO": 2,
+    "B-ORDER DATE": 3,
+    "B-S-ADDRESS": 4,
+    "B-S-NAME": 5,
+    "B-TOTAL GROSS": 6,
+    "E-B-ADDRESS": 7,
+    "E-B-NAME": 8,
+    "E-INVOICE NO": 9,
+    "E-ORDER DATE": 10,
+    "E-S-ADDRESS": 11,
+    "E-S-NAME": 12,
+    "E-TOTAL GROSS": 13,
+    "I-B-ADDRESS": 14,
+    "I-B-NAME": 15,
+    "I-INVOICE NO": 16,
+    "I-ORDER DATE": 17,
+    "I-S-ADDRESS": 18,
+    "I-S-NAME": 19,
+    "O": 20,
+    "S-B-ADDRESS": 21,
+    "S-B-NAME": 22,
+    "S-GST NO": 23,
+    "S-INVOICE NO": 24,
+    "S-ORDER DATE": 25,
+    "S-ORDER NO": 26,
+    "S-S-ADDRESS": 27,
+    "S-TOTAL GROSS": 28
+  },
+  "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
+}

final_model/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:994a2f4aa8bd3d07786e7fbbbe20f2db5908edef4ce7f693e15521ce458084f0
+size 503785804

final_model/preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "apply_ocr": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "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": ""
+}

final_model/special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
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