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# lmv2-g-invoice-993-doc-08-02

This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3517
- Due Date Precision: 0.9277
- Due Date Recall: 0.875
- Due Date F1: 0.9006
- Due Date Number: 88
- Invoice Date Precision: 0.8182
- Invoice Date Recall: 0.9172
- Invoice Date F1: 0.8649
- Invoice Date Number: 157
- Invoice Id Precision: 0.8993
- Invoice Id Recall: 0.8741
- Invoice Id F1: 0.8865
- Invoice Id Number: 143
- Payment Terms Precision: 0.5469
- Payment Terms Recall: 0.7143
- Payment Terms F1: 0.6195
- Payment Terms Number: 49
- Receiver Address Precision: 0.7249
- Receiver Address Recall: 0.7697
- Receiver Address F1: 0.7466
- Receiver Address Number: 178
- Receiver Name Precision: 0.8270
- Receiver Name Recall: 0.8596
- Receiver Name F1: 0.8430
- Receiver Name Number: 178
- Sub Total Precision: 0.8624
- Sub Total Recall: 0.8704
- Sub Total F1: 0.8664
- Sub Total Number: 108
- Supplier Address Precision: 0.7665
- Supplier Address Recall: 0.7711
- Supplier Address F1: 0.7688
- Supplier Address Number: 166
- Supplier Name Precision: 0.7567
- Supplier Name Recall: 0.8057
- Supplier Name F1: 0.7804
- Supplier Name Number: 247
- Tax Amount Precision: 0.8333
- Tax Amount Recall: 0.8209
- Tax Amount F1: 0.8271
- Tax Amount Number: 67
- Total Precision: 0.8061
- Total Recall: 0.7557
- Total F1: 0.7801
- Total Number: 176
- Overall Precision: 0.7970
- Overall Recall: 0.8221
- Overall F1: 0.8094
- Overall Accuracy: 0.9572

## 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Due Date Precision | Due Date Recall | Due Date F1 | Due Date Number | Invoice Date Precision | Invoice Date Recall | Invoice Date F1 | Invoice Date Number | Invoice Id Precision | Invoice Id Recall | Invoice Id F1 | Invoice Id Number | Payment Terms Precision | Payment Terms Recall | Payment Terms F1 | Payment Terms Number | Receiver Address Precision | Receiver Address Recall | Receiver Address F1 | Receiver Address Number | Receiver Name Precision | Receiver Name Recall | Receiver Name F1 | Receiver Name Number | Sub Total Precision | Sub Total Recall | Sub Total F1 | Sub Total Number | Supplier Address Precision | Supplier Address Recall | Supplier Address F1 | Supplier Address Number | Supplier Name Precision | Supplier Name Recall | Supplier Name F1 | Supplier Name Number | Tax Amount Precision | Tax Amount Recall | Tax Amount F1 | Tax Amount Number | Total Precision | Total Recall | Total F1 | Total Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------------:|:-----------------------:|:-------------------:|:-----------------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:-------------------:|:----------------:|:------------:|:----------------:|:--------------------------:|:-----------------------:|:-------------------:|:-----------------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:---------------:|:------------:|:--------:|:------------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 1.2159        | 1.0   | 794   | 0.5347          | 0.0                | 0.0             | 0.0         | 88              | 0.4828                 | 0.8025              | 0.6029          | 157                 | 0.5247               | 0.5944            | 0.5574        | 143               | 0.0                     | 0.0                  | 0.0              | 49                   | 0.3738                     | 0.4326                  | 0.4010              | 178                     | 0.3780                  | 0.2697               | 0.3148           | 178                  | 0.0                 | 0.0              | 0.0          | 108              | 0.4375                     | 0.5060                  | 0.4693              | 166                     | 0.4348                  | 0.3239               | 0.3712           | 247                  | 0.0                  | 0.0               | 0.0           | 67                | 0.5278          | 0.1080       | 0.1792   | 176          | 0.4443            | 0.3333         | 0.3809     | 0.9071           |
| 0.4121        | 2.0   | 1588  | 0.3147          | 0.0                | 0.0             | 0.0         | 88              | 0.5353                 | 0.9172              | 0.6761          | 157                 | 0.7355               | 0.6224            | 0.6742        | 143               | 0.2245                  | 0.4490               | 0.2993           | 49                   | 0.5707                     | 0.6573                  | 0.6110              | 178                     | 0.7457                  | 0.7247               | 0.7350           | 178                  | 0.7377              | 0.4167           | 0.5325       | 108              | 0.5802                     | 0.7410                  | 0.6508              | 166                     | 0.6703                  | 0.7490               | 0.7075           | 247                  | 0.0                  | 0.0               | 0.0           | 67                | 0.4639          | 0.8409       | 0.5980   | 176          | 0.5779            | 0.6435         | 0.6089     | 0.9340           |
| 0.2248        | 3.0   | 2382  | 0.2087          | 0.8519             | 0.7841          | 0.8166      | 88              | 0.7849                 | 0.9299              | 0.8513          | 157                 | 0.8182               | 0.8182            | 0.8182        | 143               | 0.5179                  | 0.5918               | 0.5524           | 49                   | 0.5799                     | 0.7135                  | 0.6398              | 178                     | 0.8192                  | 0.8146               | 0.8169           | 178                  | 0.8022              | 0.6759           | 0.7337       | 108              | 0.5990                     | 0.7470                  | 0.6649              | 166                     | 0.6522                  | 0.7895               | 0.7143           | 247                  | 0.8103               | 0.7015            | 0.752         | 67                | 0.7444          | 0.7614       | 0.7528   | 176          | 0.7107            | 0.7746         | 0.7412     | 0.9532           |
| 0.1303        | 4.0   | 3176  | 0.2286          | 0.8280             | 0.875           | 0.8508      | 88              | 0.8671                 | 0.8726              | 0.8698          | 157                 | 0.8                  | 0.8392            | 0.8191        | 143               | 0.3976                  | 0.6735               | 0.5              | 49                   | 0.6474                     | 0.6910                  | 0.6685              | 178                     | 0.8054                  | 0.8371               | 0.8209           | 178                  | 0.75                | 0.75             | 0.75         | 108              | 0.6467                     | 0.6506                  | 0.6486              | 166                     | 0.7143                  | 0.7895               | 0.7500           | 247                  | 0.8333               | 0.7463            | 0.7874        | 67                | 0.7344          | 0.8011       | 0.7663   | 176          | 0.7318            | 0.7797         | 0.7550     | 0.9500           |
| 0.0814        | 5.0   | 3970  | 0.2354          | 0.8444             | 0.8636          | 0.8539      | 88              | 0.8780                 | 0.9172              | 0.8972          | 157                 | 0.8212               | 0.8671            | 0.8435        | 143               | 0.3908                  | 0.6939               | 0.5              | 49                   | 0.7174                     | 0.7416                  | 0.7293              | 178                     | 0.8418                  | 0.8371               | 0.8394           | 178                  | 0.6935              | 0.7963           | 0.7414       | 108              | 0.7377                     | 0.8133                  | 0.7736              | 166                     | 0.7118                  | 0.8300               | 0.7664           | 247                  | 0.6579               | 0.7463            | 0.6993        | 67                | 0.7553          | 0.8068       | 0.7802   | 176          | 0.7459            | 0.8202         | 0.7813     | 0.9545           |
| 0.0604        | 6.0   | 4764  | 0.2217          | 0.8333             | 0.9091          | 0.8696      | 88              | 0.875                  | 0.8917              | 0.8833          | 157                 | 0.8414               | 0.8531            | 0.8472        | 143               | 0.4848                  | 0.6531               | 0.5565           | 49                   | 0.6716                     | 0.7697                  | 0.7173              | 178                     | 0.8098                  | 0.8371               | 0.8232           | 178                  | 0.8173              | 0.7870           | 0.8019       | 108              | 0.7098                     | 0.8253                  | 0.7632              | 166                     | 0.7148                  | 0.7611               | 0.7373           | 247                  | 0.6786               | 0.8507            | 0.7550        | 67                | 0.7514          | 0.7898       | 0.7701   | 176          | 0.7518            | 0.8131         | 0.7812     | 0.9541           |
| 0.0478        | 7.0   | 5558  | 0.2268          | 0.8387             | 0.8864          | 0.8619      | 88              | 0.8286                 | 0.9236              | 0.8735          | 157                 | 0.8129               | 0.8811            | 0.8456        | 143               | 0.4384                  | 0.6531               | 0.5246           | 49                   | 0.6579                     | 0.7022                  | 0.6793              | 178                     | 0.8258                  | 0.8258               | 0.8258           | 178                  | 0.8302              | 0.8148           | 0.8224       | 108              | 0.5957                     | 0.6747                  | 0.6328              | 166                     | 0.6926                  | 0.7206               | 0.7063           | 247                  | 0.8529               | 0.8657            | 0.8593        | 67                | 0.8117          | 0.7102       | 0.7576   | 176          | 0.7416            | 0.7797         | 0.7602     | 0.9550           |
| 0.0361        | 8.0   | 6352  | 0.2785          | 0.6949             | 0.9318          | 0.7961      | 88              | 0.8305                 | 0.9363              | 0.8802          | 157                 | 0.8089               | 0.8881            | 0.8467        | 143               | 0.5441                  | 0.7551               | 0.6325           | 49                   | 0.6919                     | 0.7697                  | 0.7287              | 178                     | 0.8315                  | 0.8315               | 0.8315           | 178                  | 0.7561              | 0.8611           | 0.8052       | 108              | 0.7253                     | 0.7952                  | 0.7586              | 166                     | 0.6754                  | 0.8340               | 0.7464           | 247                  | 0.7887               | 0.8358            | 0.8116        | 67                | 0.7917          | 0.7557       | 0.7733   | 176          | 0.7438            | 0.8337         | 0.7862     | 0.9520           |
| 0.0283        | 9.0   | 7146  | 0.2838          | 0.8404             | 0.8977          | 0.8681      | 88              | 0.8412                 | 0.9108              | 0.8746          | 157                 | 0.8667               | 0.8182            | 0.8417        | 143               | 0.6066                  | 0.7551               | 0.6727           | 49                   | 0.7213                     | 0.7416                  | 0.7313              | 178                     | 0.8644                  | 0.8596               | 0.8620           | 178                  | 0.8511              | 0.7407           | 0.7921       | 108              | 0.7135                     | 0.7952                  | 0.7521              | 166                     | 0.7530                  | 0.7530               | 0.7530           | 247                  | 0.6522               | 0.8955            | 0.7547        | 67                | 0.8034          | 0.5341       | 0.6416   | 176          | 0.7801            | 0.7791         | 0.7796     | 0.9553           |
| 0.0253        | 10.0  | 7940  | 0.3362          | 0.7217             | 0.9432          | 0.8177      | 88              | 0.8882                 | 0.9108              | 0.8994          | 157                 | 0.8403               | 0.8462            | 0.8432        | 143               | 0.3980                  | 0.7959               | 0.5306           | 49                   | 0.6703                     | 0.6966                  | 0.6832              | 178                     | 0.8042                  | 0.8539               | 0.8283           | 178                  | 0.8462              | 0.8148           | 0.8302       | 108              | 0.6667                     | 0.8193                  | 0.7351              | 166                     | 0.7173                  | 0.8219               | 0.7660           | 247                  | 0.8060               | 0.8060            | 0.8060        | 67                | 0.7460          | 0.8011       | 0.7726   | 176          | 0.7384            | 0.8247         | 0.7791     | 0.9385           |
| 0.0201        | 11.0  | 8734  | 0.3310          | 0.8247             | 0.9091          | 0.8649      | 88              | 0.8820                 | 0.9045              | 0.8931          | 157                 | 0.8832               | 0.8462            | 0.8643        | 143               | 0.5072                  | 0.7143               | 0.5932           | 49                   | 0.7294                     | 0.6966                  | 0.7126              | 178                     | 0.8314                  | 0.8034               | 0.8171           | 178                  | 0.8165              | 0.8241           | 0.8203       | 108              | 0.6618                     | 0.8133                  | 0.7297              | 166                     | 0.7399                  | 0.8178               | 0.7769           | 247                  | 0.8281               | 0.7910            | 0.8092        | 67                | 0.75            | 0.7330       | 0.7414   | 176          | 0.7697            | 0.8048         | 0.7868     | 0.9529           |
| 0.0239        | 12.0  | 9528  | 0.2936          | 0.8736             | 0.8636          | 0.8686      | 88              | 0.8614                 | 0.9108              | 0.8854          | 157                 | 0.8955               | 0.8392            | 0.8664        | 143               | 0.5373                  | 0.7347               | 0.6207           | 49                   | 0.6818                     | 0.7584                  | 0.7181              | 178                     | 0.8398                  | 0.8539               | 0.8468           | 178                  | 0.83                | 0.7685           | 0.7981       | 108              | 0.7529                     | 0.7892                  | 0.7706              | 166                     | 0.7674                  | 0.8016               | 0.7842           | 247                  | 0.8966               | 0.7761            | 0.8320        | 67                | 0.7527          | 0.7784       | 0.7654   | 176          | 0.7869            | 0.8112         | 0.7989     | 0.9565           |
| 0.0229        | 13.0  | 10322 | 0.3042          | 0.8791             | 0.9091          | 0.8939      | 88              | 0.8735                 | 0.9236              | 0.8978          | 157                 | 0.8662               | 0.8601            | 0.8632        | 143               | 0.6613                  | 0.8367               | 0.7387           | 49                   | 0.7068                     | 0.7584                  | 0.7317              | 178                     | 0.8324                  | 0.8652               | 0.8485           | 178                  | 0.8252              | 0.7870           | 0.8057       | 108              | 0.7278                     | 0.7892                  | 0.7572              | 166                     | 0.7751                  | 0.7814               | 0.7782           | 247                  | 0.8621               | 0.7463            | 0.8000        | 67                | 0.7683          | 0.7159       | 0.7412   | 176          | 0.7938            | 0.8112         | 0.8024     | 0.9580           |
| 0.0165        | 14.0  | 11116 | 0.2715          | 0.9111             | 0.9318          | 0.9213      | 88              | 0.8802                 | 0.9363              | 0.9074          | 157                 | 0.8671               | 0.8671            | 0.8671        | 143               | 0.5211                  | 0.7551               | 0.6167           | 49                   | 0.7053                     | 0.7528                  | 0.7283              | 178                     | 0.8115                  | 0.8708               | 0.8401           | 178                  | 0.9158              | 0.8056           | 0.8571       | 108              | 0.7196                     | 0.8193                  | 0.7662              | 166                     | 0.7348                  | 0.7854               | 0.7593           | 247                  | 0.7733               | 0.8657            | 0.8169        | 67                | 0.7943          | 0.7898       | 0.7920   | 176          | 0.7836            | 0.8304         | 0.8064     | 0.9600           |
| 0.0221        | 15.0  | 11910 | 0.2866          | 0.8161             | 0.8068          | 0.8114      | 88              | 0.8720                 | 0.9108              | 0.8910          | 157                 | 0.8986               | 0.8671            | 0.8826        | 143               | 0.4722                  | 0.6939               | 0.5620           | 49                   | 0.7204                     | 0.7528                  | 0.7363              | 178                     | 0.8232                  | 0.8371               | 0.8301           | 178                  | 0.8571              | 0.8333           | 0.8451       | 108              | 0.7216                     | 0.7651                  | 0.7427              | 166                     | 0.7293                  | 0.7854               | 0.7563           | 247                  | 0.8868               | 0.7015            | 0.7833        | 67                | 0.8255          | 0.6989       | 0.7569   | 176          | 0.7838            | 0.7938         | 0.7888     | 0.9552           |
| 0.0173        | 16.0  | 12704 | 0.3234          | 0.7685             | 0.9432          | 0.8469      | 88              | 0.8512                 | 0.9108              | 0.88            | 157                 | 0.8288               | 0.8462            | 0.8374        | 143               | 0.4474                  | 0.6939               | 0.544            | 49                   | 0.6915                     | 0.7303                  | 0.7104              | 178                     | 0.8365                  | 0.7472               | 0.7893           | 178                  | 0.6596              | 0.8611           | 0.7470       | 108              | 0.6372                     | 0.8675                  | 0.7347              | 166                     | 0.6823                  | 0.8259               | 0.7473           | 247                  | 0.7333               | 0.8209            | 0.7746        | 67                | 0.7513          | 0.8068       | 0.7781   | 176          | 0.7223            | 0.8234         | 0.7695     | 0.9532           |
| 0.0159        | 17.0  | 13498 | 0.3301          | 0.8652             | 0.875           | 0.8701      | 88              | 0.8480                 | 0.9236              | 0.8841          | 157                 | 0.8921               | 0.8671            | 0.8794        | 143               | 0.5522                  | 0.7551               | 0.6379           | 49                   | 0.7027                     | 0.7303                  | 0.7163              | 178                     | 0.7989                  | 0.8483               | 0.8229           | 178                  | 0.7863              | 0.8519           | 0.8178       | 108              | 0.7711                     | 0.7711                  | 0.7711              | 166                     | 0.6877                  | 0.7935               | 0.7368           | 247                  | 0.8116               | 0.8358            | 0.8235        | 67                | 0.7976          | 0.7614       | 0.7791   | 176          | 0.7720            | 0.8157         | 0.7933     | 0.9554           |
| 0.0156        | 18.0  | 14292 | 0.3390          | 0.8261             | 0.8636          | 0.8444      | 88              | 0.8412                 | 0.9108              | 0.8746          | 157                 | 0.8794               | 0.8671            | 0.8732        | 143               | 0.5968                  | 0.7551               | 0.6667           | 49                   | 0.6682                     | 0.7921                  | 0.7249              | 178                     | 0.7967                  | 0.8146               | 0.8056           | 178                  | 0.9195              | 0.7407           | 0.8205       | 108              | 0.7321                     | 0.7410                  | 0.7365              | 166                     | 0.7333                  | 0.7571               | 0.7450           | 247                  | 0.8197               | 0.7463            | 0.7813        | 67                | 0.7797          | 0.7841       | 0.7819   | 176          | 0.7746            | 0.7990         | 0.7866     | 0.9548           |
| 0.0125        | 19.0  | 15086 | 0.3517          | 0.9277             | 0.875           | 0.9006      | 88              | 0.8182                 | 0.9172              | 0.8649          | 157                 | 0.8993               | 0.8741            | 0.8865        | 143               | 0.5469                  | 0.7143               | 0.6195           | 49                   | 0.7249                     | 0.7697                  | 0.7466              | 178                     | 0.8270                  | 0.8596               | 0.8430           | 178                  | 0.8624              | 0.8704           | 0.8664       | 108              | 0.7665                     | 0.7711                  | 0.7688              | 166                     | 0.7567                  | 0.8057               | 0.7804           | 247                  | 0.8333               | 0.8209            | 0.8271        | 67                | 0.8061          | 0.7557       | 0.7801   | 176          | 0.7970            | 0.8221         | 0.8094     | 0.9572           |
| 0.0132        | 20.0  | 15880 | 0.3682          | 0.9241             | 0.8295          | 0.8743      | 88              | 0.8631                 | 0.9236              | 0.8923          | 157                 | 0.9030               | 0.8462            | 0.8736        | 143               | 0.55                    | 0.6735               | 0.6055           | 49                   | 0.6818                     | 0.7584                  | 0.7181              | 178                     | 0.8488                  | 0.8202               | 0.8343           | 178                  | 0.8190              | 0.7963           | 0.8075       | 108              | 0.7081                     | 0.7892                  | 0.7464              | 166                     | 0.7764                  | 0.7449               | 0.7603           | 247                  | 0.7160               | 0.8657            | 0.7838        | 67                | 0.8110          | 0.7557       | 0.7824   | 176          | 0.7865            | 0.7996         | 0.7930     | 0.9543           |
| 0.0112        | 21.0  | 16674 | 0.3974          | 0.8721             | 0.8523          | 0.8621      | 88              | 0.8249                 | 0.9299              | 0.8743          | 157                 | 0.8929               | 0.8741            | 0.8834        | 143               | 0.5205                  | 0.7755               | 0.6230           | 49                   | 0.6569                     | 0.7528                  | 0.7016              | 178                     | 0.7677                  | 0.8539               | 0.8085           | 178                  | 0.8246              | 0.8704           | 0.8468       | 108              | 0.7326                     | 0.7590                  | 0.7456              | 166                     | 0.7273                  | 0.7773               | 0.7515           | 247                  | 0.7746               | 0.8209            | 0.7971        | 67                | 0.7852          | 0.6648       | 0.72     | 176          | 0.7609            | 0.8054         | 0.7825     | 0.9513           |
| 0.0157        | 22.0  | 17468 | 0.3658          | 0.9390             | 0.875           | 0.9059      | 88              | 0.8412                 | 0.9108              | 0.8746          | 157                 | 0.9065               | 0.8811            | 0.8936        | 143               | 0.5075                  | 0.6939               | 0.5862           | 49                   | 0.6837                     | 0.7528                  | 0.7166              | 178                     | 0.8415                  | 0.8652               | 0.8532           | 178                  | 0.875               | 0.7778           | 0.8235       | 108              | 0.6473                     | 0.8072                  | 0.7185              | 166                     | 0.7540                  | 0.7692               | 0.7615           | 247                  | 0.8621               | 0.7463            | 0.8000        | 67                | 0.7949          | 0.7045       | 0.7470   | 176          | 0.7783            | 0.8028         | 0.7904     | 0.9525           |
| 0.0104        | 23.0  | 18262 | 0.3755          | 0.9302             | 0.9091          | 0.9195      | 88              | 0.8727                 | 0.9172              | 0.8944          | 157                 | 0.8477               | 0.8951            | 0.8707        | 143               | 0.5893                  | 0.6735               | 0.6286           | 49                   | 0.5947                     | 0.7584                  | 0.6667              | 178                     | 0.7023                  | 0.8483               | 0.7684           | 178                  | 0.7787              | 0.8796           | 0.8261       | 108              | 0.7321                     | 0.7410                  | 0.7365              | 166                     | 0.75                    | 0.7409               | 0.7454           | 247                  | 0.7714               | 0.8060            | 0.7883        | 67                | 0.8057          | 0.8011       | 0.8034   | 176          | 0.7546            | 0.8137         | 0.7831     | 0.9502           |
| 0.018         | 24.0  | 19056 | 0.3719          | 0.8571             | 0.8182          | 0.8372      | 88              | 0.8683                 | 0.9236              | 0.8951          | 157                 | 0.8690               | 0.8811            | 0.8750        | 143               | 0.5781                  | 0.7551               | 0.6549           | 49                   | 0.6604                     | 0.7865                  | 0.7179              | 178                     | 0.7937                  | 0.8427               | 0.8174           | 178                  | 0.9310              | 0.75             | 0.8308       | 108              | 0.7363                     | 0.8072                  | 0.7701              | 166                     | 0.7412                  | 0.7652               | 0.7530           | 247                  | 0.8596               | 0.7313            | 0.7903        | 67                | 0.7765          | 0.75         | 0.7630   | 176          | 0.7785            | 0.8060         | 0.7920     | 0.9553           |
| 0.0088        | 25.0  | 19850 | 0.3638          | 0.8876             | 0.8977          | 0.8927      | 88              | 0.8902                 | 0.9299              | 0.9097          | 157                 | 0.8301               | 0.8881            | 0.8581        | 143               | 0.6032                  | 0.7755               | 0.6786           | 49                   | 0.6853                     | 0.7584                  | 0.72                | 178                     | 0.8683                  | 0.8146               | 0.8406           | 178                  | 0.9111              | 0.7593           | 0.8283       | 108              | 0.6952                     | 0.7831                  | 0.7365              | 166                     | 0.74                    | 0.7490               | 0.7445           | 247                  | 0.7945               | 0.8657            | 0.8286        | 67                | 0.8068          | 0.8068       | 0.8068   | 176          | 0.7874            | 0.8137         | 0.8004     | 0.9561           |
| 0.009         | 26.0  | 20644 | 0.3683          | 0.9146             | 0.8523          | 0.8824      | 88              | 0.8229                 | 0.9172              | 0.8675          | 157                 | 0.9007               | 0.8881            | 0.8944        | 143               | 0.6607                  | 0.7551               | 0.7048           | 49                   | 0.7316                     | 0.7809                  | 0.7554              | 178                     | 0.8441                  | 0.8820               | 0.8626           | 178                  | 0.8317              | 0.7778           | 0.8038       | 108              | 0.7310                     | 0.7530                  | 0.7418              | 166                     | 0.7576                  | 0.8097               | 0.7828           | 247                  | 0.8286               | 0.8657            | 0.8467        | 67                | 0.7791          | 0.7614       | 0.7701   | 176          | 0.7960            | 0.8221         | 0.8088     | 0.9584           |
| 0.0105        | 27.0  | 21438 | 0.3624          | 0.8280             | 0.875           | 0.8508      | 88              | 0.8352                 | 0.9363              | 0.8829          | 157                 | 0.8592               | 0.8531            | 0.8561        | 143               | 0.4795                  | 0.7143               | 0.5738           | 49                   | 0.7158                     | 0.7360                  | 0.7258              | 178                     | 0.8197                  | 0.8427               | 0.8310           | 178                  | 0.7068              | 0.8704           | 0.7801       | 108              | 0.6878                     | 0.7831                  | 0.7324              | 166                     | 0.7741                  | 0.7490               | 0.7613           | 247                  | 0.8088               | 0.8209            | 0.8148        | 67                | 0.7644          | 0.7557       | 0.76     | 176          | 0.7616            | 0.8086         | 0.7844     | 0.9552           |
| 0.0088        | 28.0  | 22232 | 0.3755          | 0.7938             | 0.875           | 0.8324      | 88              | 0.8882                 | 0.9108              | 0.8994          | 157                 | 0.8705               | 0.8462            | 0.8582        | 143               | 0.6481                  | 0.7143               | 0.6796           | 49                   | 0.6618                     | 0.7697                  | 0.7117              | 178                     | 0.8370                  | 0.8652               | 0.8508           | 178                  | 0.9277              | 0.7130           | 0.8063       | 108              | 0.7414                     | 0.7771                  | 0.7588              | 166                     | 0.7603                  | 0.8219               | 0.7899           | 247                  | 0.94                 | 0.7015            | 0.8034        | 67                | 0.7901          | 0.7273       | 0.7574   | 176          | 0.7928            | 0.8035         | 0.7981     | 0.9559           |
| 0.0101        | 29.0  | 23026 | 0.4108          | 0.8587             | 0.8977          | 0.8778      | 88              | 0.8765                 | 0.9045              | 0.8903          | 157                 | 0.8676               | 0.8252            | 0.8459        | 143               | 0.5286                  | 0.7551               | 0.6218           | 49                   | 0.7005                     | 0.7360                  | 0.7178              | 178                     | 0.8162                  | 0.8483               | 0.8320           | 178                  | 0.8646              | 0.7685           | 0.8137       | 108              | 0.7225                     | 0.7530                  | 0.7375              | 166                     | 0.7236                  | 0.8057               | 0.7625           | 247                  | 0.9423               | 0.7313            | 0.8235        | 67                | 0.7870          | 0.7557       | 0.7710   | 176          | 0.7808            | 0.8009         | 0.7907     | 0.9526           |
| 0.0087        | 30.0  | 23820 | 0.3898          | 0.8764             | 0.8864          | 0.8814      | 88              | 0.9114                 | 0.9172              | 0.9143          | 157                 | 0.9015               | 0.8322            | 0.8655        | 143               | 0.5333                  | 0.6531               | 0.5872           | 49                   | 0.6502                     | 0.7416                  | 0.6929              | 178                     | 0.8101                  | 0.8146               | 0.8123           | 178                  | 0.9529              | 0.75             | 0.8394       | 108              | 0.7922                     | 0.7349                  | 0.7625              | 166                     | 0.7635                  | 0.7449               | 0.7541           | 247                  | 0.8947               | 0.7612            | 0.8226        | 67                | 0.7702          | 0.7045       | 0.7359   | 176          | 0.7979            | 0.7784         | 0.7880     | 0.9533           |


### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.12.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "lmv2-g-invoice-993-doc-08-02", "results": []}]}
transformers pytorch tensorboard layoutlmv2 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #layoutlmv2 #token-classification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 

lmv2-g-invoice-993-doc-08-02
============================


This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3517
* Due Date Precision: 0.9277
* Due Date Recall: 0.875
* Due Date F1: 0.9006
* Due Date Number: 88
* Invoice Date Precision: 0.8182
* Invoice Date Recall: 0.9172
* Invoice Date F1: 0.8649
* Invoice Date Number: 157
* Invoice Id Precision: 0.8993
* Invoice Id Recall: 0.8741
* Invoice Id F1: 0.8865
* Invoice Id Number: 143
* Payment Terms Precision: 0.5469
* Payment Terms Recall: 0.7143
* Payment Terms F1: 0.6195
* Payment Terms Number: 49
* Receiver Address Precision: 0.7249
* Receiver Address Recall: 0.7697
* Receiver Address F1: 0.7466
* Receiver Address Number: 178
* Receiver Name Precision: 0.8270
* Receiver Name Recall: 0.8596
* Receiver Name F1: 0.8430
* Receiver Name Number: 178
* Sub Total Precision: 0.8624
* Sub Total Recall: 0.8704
* Sub Total F1: 0.8664
* Sub Total Number: 108
* Supplier Address Precision: 0.7665
* Supplier Address Recall: 0.7711
* Supplier Address F1: 0.7688
* Supplier Address Number: 166
* Supplier Name Precision: 0.7567
* Supplier Name Recall: 0.8057
* Supplier Name F1: 0.7804
* Supplier Name Number: 247
* Tax Amount Precision: 0.8333
* Tax Amount Recall: 0.8209
* Tax Amount F1: 0.8271
* Tax Amount Number: 67
* Total Precision: 0.8061
* Total Recall: 0.7557
* Total F1: 0.7801
* Total Number: 176
* Overall Precision: 0.7970
* Overall Recall: 0.8221
* Overall F1: 0.8094
* Overall Accuracy: 0.9572


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: 4e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 30


### Training results



### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.0+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 30 ### Training results ### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.0+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #layoutlmv2 #token-classification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 30 ### Training results ### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.0+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #layoutlmv2 #token-classification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 30### Training results### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.0+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1