End of training

README.md

@@ -0,0 +1,91 @@
+---
+license: mit
+base_model: SCUT-DLVCLab/lilt-roberta-en-base
+tags:
+- generated_from_trainer
+model-index:
+- name: lilt-en-combined
+  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. -->
+
+# lilt-en-combined
+
+This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0876
+- Adhaar Number: {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}
+- Ame: {'precision': 0.9516129032258065, 'recall': 0.9516129032258065, 'f1': 0.9516129032258065, 'number': 62}
+- An Number: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}
+- Assport Number: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}
+- Ast Name: {'precision': 0.8947368421052632, 'recall': 0.9444444444444444, 'f1': 0.918918918918919, 'number': 18}
+- Ate Of Expiry: {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 20}
+- Ather Name: {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 31}
+- Ather Name Back: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}
+- Ather Name Front Top: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}
+- Ddress: {'precision': 0.8, 'recall': 0.75, 'f1': 0.7741935483870969, 'number': 16}
+- Ddress Back: {'precision': 0.9384615384615385, 'recall': 0.8970588235294118, 'f1': 0.9172932330827067, 'number': 68}
+- Ddress Front: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}
+- Ender: {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}
+- Ob: {'precision': 0.9833333333333333, 'recall': 0.9833333333333333, 'f1': 0.9833333333333333, 'number': 60}
+- Obile Number: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}
+- Other Name: {'precision': 0.5, 'recall': 0.6153846153846154, 'f1': 0.5517241379310345, 'number': 13}
+- Rz Passport: {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23}
+- Ther: {'precision': 0.9044943820224719, 'recall': 0.9044943820224719, 'f1': 0.9044943820224719, 'number': 356}
+- Overall Precision: 0.9300
+- Overall Recall: 0.9289
+- Overall F1: 0.9294
+- Overall Accuracy: 0.9909
+
+## 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
+- training_steps: 2500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Adhaar Number                                                                                           | Ame                                                                                                     | An Number                                                  | Assport Number                                                                          | Ast Name                                                                                                | Ate Of Expiry                                                                             | Ather Name                                                                                              | Ather Name Back                                                                                         | Ather Name Front Top                                                                                    | Ddress                                                                                      | Ddress Back                                                                                             | Ddress Front                                                                             | Ender                                                                                                | Ob                                                                                                      | Obile Number                                                                             | Other Name                                                                                               | Rz Passport                                                                                             | Ther                                                                                                     | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 0.3119        | 3.45  | 200  | 0.1237          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.8833333333333333, 'recall': 0.8548387096774194, 'f1': 0.8688524590163934, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.7894736842105263, 'recall': 0.8333333333333334, 'f1': 0.8108108108108109, 'number': 18} | {'precision': 0.8823529411764706, 'recall': 0.75, 'f1': 0.8108108108108107, 'number': 20} | {'precision': 0.9, 'recall': 0.8709677419354839, 'f1': 0.8852459016393444, 'number': 31}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.4, 'recall': 0.25, 'f1': 0.3076923076923077, 'number': 16}                  | {'precision': 0.8888888888888888, 'recall': 0.8235294117647058, 'f1': 0.8549618320610687, 'number': 68} | {'precision': 1.0, 'recall': 0.9795918367346939, 'f1': 0.9896907216494846, 'number': 49} | {'precision': 1.0, 'recall': 0.926829268292683, 'f1': 0.9620253164556963, 'number': 41}              | {'precision': 1.0, 'recall': 0.9666666666666667, 'f1': 0.983050847457627, 'number': 60}                 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5384615384615384, 'recall': 0.5384615384615384, 'f1': 0.5384615384615384, 'number': 13}  | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8497109826589595, 'recall': 0.8258426966292135, 'f1': 0.8376068376068376, 'number': 356} | 0.8942            | 0.8624         | 0.8780     | 0.9788           |
+| 0.0352        | 6.9   | 400  | 0.0822          | {'precision': 0.8604651162790697, 'recall': 0.9487179487179487, 'f1': 0.9024390243902439, 'number': 39} | {'precision': 0.8253968253968254, 'recall': 0.8387096774193549, 'f1': 0.832, 'number': 62}              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.8947368421052632, 'recall': 0.9444444444444444, 'f1': 0.918918918918919, 'number': 18}  | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 20}                                | {'precision': 0.9032258064516129, 'recall': 0.9032258064516129, 'f1': 0.9032258064516129, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.8, 'recall': 0.75, 'f1': 0.7741935483870969, 'number': 16}                  | {'precision': 0.8787878787878788, 'recall': 0.8529411764705882, 'f1': 0.8656716417910447, 'number': 68} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 0.975609756097561, 'recall': 0.975609756097561, 'f1': 0.975609756097561, 'number': 41} | {'precision': 1.0, 'recall': 0.9833333333333333, 'f1': 0.9915966386554621, 'number': 60}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5, 'recall': 0.6153846153846154, 'f1': 0.5517241379310345, 'number': 13}                 | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8689458689458689, 'recall': 0.8567415730337079, 'f1': 0.8628005657708628, 'number': 356} | 0.8956            | 0.8956         | 0.8956     | 0.9855           |
+| 0.0162        | 10.34 | 600  | 0.0936          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9193548387096774, 'recall': 0.9193548387096774, 'f1': 0.9193548387096774, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 0.9523809523809523, 'recall': 1.0, 'f1': 0.975609756097561, 'number': 20} | {'precision': 0.8947368421052632, 'recall': 0.9444444444444444, 'f1': 0.918918918918919, 'number': 18}  | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 20}                                | {'precision': 1.0, 'recall': 0.967741935483871, 'f1': 0.9836065573770492, 'number': 31}                 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.7857142857142857, 'recall': 0.6875, 'f1': 0.7333333333333334, 'number': 16} | {'precision': 0.9206349206349206, 'recall': 0.8529411764705882, 'f1': 0.8854961832061068, 'number': 68} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9672131147540983, 'recall': 0.9833333333333333, 'f1': 0.9752066115702478, 'number': 60} | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 0.7272727272727273, 'recall': 0.6153846153846154, 'f1': 0.6666666666666667, 'number': 13}  | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8895184135977338, 'recall': 0.8820224719101124, 'f1': 0.8857545839210157, 'number': 356} | 0.9246            | 0.9140         | 0.9193     | 0.9885           |
+| 0.0072        | 13.79 | 800  | 0.0849          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.890625, 'recall': 0.9193548387096774, 'f1': 0.9047619047619047, 'number': 62}           | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.85, 'recall': 0.9444444444444444, 'f1': 0.8947368421052632, 'number': 18}               | {'precision': 0.8333333333333334, 'recall': 1.0, 'f1': 0.9090909090909091, 'number': 20}  | {'precision': 0.7941176470588235, 'recall': 0.8709677419354839, 'f1': 0.8307692307692308, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.7058823529411765, 'recall': 0.75, 'f1': 0.7272727272727272, 'number': 16}   | {'precision': 0.921875, 'recall': 0.8676470588235294, 'f1': 0.893939393939394, 'number': 68}            | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9672131147540983, 'recall': 0.9833333333333333, 'f1': 0.9752066115702478, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.6666666666666666, 'recall': 0.46153846153846156, 'f1': 0.5454545454545455, 'number': 13} | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8690807799442897, 'recall': 0.8764044943820225, 'f1': 0.8727272727272727, 'number': 356} | 0.9033            | 0.9106         | 0.9069     | 0.9848           |
+| 0.0045        | 17.24 | 1000 | 0.0882          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.8688524590163934, 'recall': 0.8548387096774194, 'f1': 0.8617886178861789, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.8421052631578947, 'recall': 0.8888888888888888, 'f1': 0.8648648648648649, 'number': 18} | {'precision': 0.8695652173913043, 'recall': 1.0, 'f1': 0.9302325581395349, 'number': 20}  | {'precision': 0.9310344827586207, 'recall': 0.8709677419354839, 'f1': 0.9, 'number': 31}                | {'precision': 0.8888888888888888, 'recall': 0.9411764705882353, 'f1': 0.9142857142857143, 'number': 17} | {'precision': 0.9166666666666666, 'recall': 0.9166666666666666, 'f1': 0.9166666666666666, 'number': 12} | {'precision': 0.7647058823529411, 'recall': 0.8125, 'f1': 0.787878787878788, 'number': 16}  | {'precision': 0.890625, 'recall': 0.8382352941176471, 'f1': 0.8636363636363636, 'number': 68}           | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 0.975, 'recall': 0.9512195121951219, 'f1': 0.9629629629629629, 'number': 41}           | {'precision': 0.9672131147540983, 'recall': 0.9833333333333333, 'f1': 0.9752066115702478, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5333333333333333, 'recall': 0.6153846153846154, 'f1': 0.5714285714285715, 'number': 13}  | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8631284916201117, 'recall': 0.8679775280898876, 'f1': 0.8655462184873948, 'number': 356} | 0.8961            | 0.9002         | 0.8982     | 0.9860           |
+| 0.002         | 20.69 | 1200 | 0.0821          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.8939393939393939, 'recall': 0.9516129032258065, 'f1': 0.921875, 'number': 62}           | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.75, 'recall': 0.8333333333333334, 'f1': 0.7894736842105262, 'number': 18}               | {'precision': 0.9473684210526315, 'recall': 0.9, 'f1': 0.9230769230769231, 'number': 20}  | {'precision': 0.9666666666666667, 'recall': 0.9354838709677419, 'f1': 0.9508196721311476, 'number': 31} | {'precision': 1.0, 'recall': 0.9411764705882353, 'f1': 0.9696969696969697, 'number': 17}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.8, 'recall': 0.75, 'f1': 0.7741935483870969, 'number': 16}                  | {'precision': 0.8923076923076924, 'recall': 0.8529411764705882, 'f1': 0.8721804511278195, 'number': 68} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9672131147540983, 'recall': 0.9833333333333333, 'f1': 0.9752066115702478, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5384615384615384, 'recall': 0.5384615384615384, 'f1': 0.5384615384615384, 'number': 13}  | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8920454545454546, 'recall': 0.8820224719101124, 'f1': 0.8870056497175142, 'number': 356} | 0.9170            | 0.9117         | 0.9143     | 0.9887           |
+| 0.0013        | 24.14 | 1400 | 0.0909          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9516129032258065, 'recall': 0.9516129032258065, 'f1': 0.9516129032258065, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.8947368421052632, 'recall': 0.9444444444444444, 'f1': 0.918918918918919, 'number': 18}  | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 20}                                | {'precision': 0.9333333333333333, 'recall': 0.9032258064516129, 'f1': 0.9180327868852459, 'number': 31} | {'precision': 1.0, 'recall': 0.9411764705882353, 'f1': 0.9696969696969697, 'number': 17}                | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.8571428571428571, 'recall': 0.75, 'f1': 0.7999999999999999, 'number': 16}   | {'precision': 0.9242424242424242, 'recall': 0.8970588235294118, 'f1': 0.9104477611940298, 'number': 68} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9836065573770492, 'recall': 1.0, 'f1': 0.9917355371900827, 'number': 60}                | {'precision': 0.9090909090909091, 'recall': 1.0, 'f1': 0.9523809523809523, 'number': 10} | {'precision': 0.6153846153846154, 'recall': 0.6153846153846154, 'f1': 0.6153846153846154, 'number': 13}  | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.901685393258427, 'recall': 0.901685393258427, 'f1': 0.901685393258427, 'number': 356}    | 0.9309            | 0.9266         | 0.9287     | 0.9901           |
+| 0.001         | 27.59 | 1600 | 0.0808          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9516129032258065, 'recall': 0.9516129032258065, 'f1': 0.9516129032258065, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.7894736842105263, 'recall': 0.8333333333333334, 'f1': 0.8108108108108109, 'number': 18} | {'precision': 0.8571428571428571, 'recall': 0.9, 'f1': 0.8780487804878048, 'number': 20}  | {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.7368421052631579, 'recall': 0.875, 'f1': 0.7999999999999999, 'number': 16}  | {'precision': 0.9384615384615385, 'recall': 0.8970588235294118, 'f1': 0.9172932330827067, 'number': 68} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9833333333333333, 'recall': 0.9833333333333333, 'f1': 0.9833333333333333, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5714285714285714, 'recall': 0.6153846153846154, 'f1': 0.5925925925925927, 'number': 13}  | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8938547486033519, 'recall': 0.898876404494382, 'f1': 0.896358543417367, 'number': 356}   | 0.9224            | 0.9266         | 0.9245     | 0.9899           |
+| 0.0004        | 31.03 | 1800 | 0.0922          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.7894736842105263, 'recall': 0.8333333333333334, 'f1': 0.8108108108108109, 'number': 18} | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 20}                                | {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.7857142857142857, 'recall': 0.6875, 'f1': 0.7333333333333334, 'number': 16} | {'precision': 0.9375, 'recall': 0.8823529411764706, 'f1': 0.9090909090909091, 'number': 68}             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9672131147540983, 'recall': 0.9833333333333333, 'f1': 0.9752066115702478, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5, 'recall': 0.5384615384615384, 'f1': 0.5185185185185186, 'number': 13}                 | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8977272727272727, 'recall': 0.8876404494382022, 'f1': 0.8926553672316383, 'number': 356} | 0.9236            | 0.9151         | 0.9194     | 0.9891           |
+| 0.0003        | 34.48 | 2000 | 0.0898          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9516129032258065, 'recall': 0.9516129032258065, 'f1': 0.9516129032258065, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.8421052631578947, 'recall': 0.8888888888888888, 'f1': 0.8648648648648649, 'number': 18} | {'precision': 0.8571428571428571, 'recall': 0.9, 'f1': 0.8780487804878048, 'number': 20}  | {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.8666666666666667, 'recall': 0.8125, 'f1': 0.8387096774193549, 'number': 16} | {'precision': 0.90625, 'recall': 0.8529411764705882, 'f1': 0.8787878787878787, 'number': 68}            | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9516129032258065, 'recall': 0.9833333333333333, 'f1': 0.9672131147540983, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5, 'recall': 0.5384615384615384, 'f1': 0.5185185185185186, 'number': 13}                 | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8904494382022472, 'recall': 0.8904494382022472, 'f1': 0.8904494382022472, 'number': 356} | 0.9196            | 0.9186         | 0.9191     | 0.9892           |
+| 0.0003        | 37.93 | 2200 | 0.0843          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9516129032258065, 'recall': 0.9516129032258065, 'f1': 0.9516129032258065, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.8947368421052632, 'recall': 0.9444444444444444, 'f1': 0.918918918918919, 'number': 18}  | {'precision': 0.8571428571428571, 'recall': 0.9, 'f1': 0.8780487804878048, 'number': 20}  | {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.875, 'recall': 0.875, 'f1': 0.875, 'number': 16}                            | {'precision': 0.90625, 'recall': 0.8529411764705882, 'f1': 0.8787878787878787, 'number': 68}            | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9672131147540983, 'recall': 0.9833333333333333, 'f1': 0.9752066115702478, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.4375, 'recall': 0.5384615384615384, 'f1': 0.4827586206896552, 'number': 13}              | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.8935574229691877, 'recall': 0.8960674157303371, 'f1': 0.8948106591865358, 'number': 356} | 0.9211            | 0.9232         | 0.9221     | 0.9899           |
+| 0.0002        | 41.38 | 2400 | 0.0876          | {'precision': 0.975, 'recall': 1.0, 'f1': 0.9873417721518987, 'number': 39}                             | {'precision': 0.9516129032258065, 'recall': 0.9516129032258065, 'f1': 0.9516129032258065, 'number': 62} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 20}                              | {'precision': 0.8947368421052632, 'recall': 0.9444444444444444, 'f1': 0.918918918918919, 'number': 18}  | {'precision': 0.9, 'recall': 0.9, 'f1': 0.9, 'number': 20}                                | {'precision': 0.9354838709677419, 'recall': 0.9354838709677419, 'f1': 0.9354838709677419, 'number': 31} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 17}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 12}                                              | {'precision': 0.8, 'recall': 0.75, 'f1': 0.7741935483870969, 'number': 16}                  | {'precision': 0.9384615384615385, 'recall': 0.8970588235294118, 'f1': 0.9172932330827067, 'number': 68} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 49}                               | {'precision': 1.0, 'recall': 0.9512195121951219, 'f1': 0.975, 'number': 41}                          | {'precision': 0.9833333333333333, 'recall': 0.9833333333333333, 'f1': 0.9833333333333333, 'number': 60} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 10}                               | {'precision': 0.5, 'recall': 0.6153846153846154, 'f1': 0.5517241379310345, 'number': 13}                 | {'precision': 0.9565217391304348, 'recall': 0.9565217391304348, 'f1': 0.9565217391304348, 'number': 23} | {'precision': 0.9044943820224719, 'recall': 0.9044943820224719, 'f1': 0.9044943820224719, 'number': 356} | 0.9300            | 0.9289         | 0.9294     | 0.9909           |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

logs/events.out.tfevents.1710954523.4d917c5279af.380.0

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preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "apply_ocr": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "LayoutLMv3FeatureExtractor",
+  "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": ""
+}

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>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

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
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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
+    }
+  },
+  "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
+  ],
+  "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>"
+}