update model card README.md
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README.md
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---
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: lmv2-g-receipts3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# lmv2-g-receipts3
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This model is a fine-tuned version of [microsoft/layoutlmv2-large-uncased](https://huggingface.co/microsoft/layoutlmv2-large-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2709
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- Purchase Time Precision: 0.8976
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- Purchase Time Recall: 0.8906
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- Purchase Time F1: 0.8941
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- Purchase Time Number: 128
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- Receipt Date Precision: 0.9064
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- Receipt Date Recall: 0.9172
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- Receipt Date F1: 0.9118
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- Receipt Date Number: 169
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- Sub Total Precision: 0.8167
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- Sub Total Recall: 0.8909
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- Sub Total F1: 0.8522
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- Sub Total Number: 110
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- Supplier Address Precision: 0.7227
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- Supplier Address Recall: 0.7544
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- Supplier Address F1: 0.7382
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- Supplier Address Number: 114
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- Supplier Name Precision: 0.7556
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- Supplier Name Recall: 0.7640
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- Supplier Name F1: 0.7598
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- Supplier Name Number: 267
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- Tip Amount Precision: 1.0
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- Tip Amount Recall: 1.0
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- Tip Amount F1: 1.0
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- Tip Amount Number: 2
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- Total Precision: 0.9405
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- Total Recall: 0.8634
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- Total F1: 0.9003
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- Total Number: 183
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- Total Tax Amount Precision: 0.9138
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- Total Tax Amount Recall: 0.8154
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- Total Tax Amount F1: 0.8618
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- Total Tax Amount Number: 65
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- Overall Precision: 0.8406
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- Overall Recall: 0.8382
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- Overall F1: 0.8394
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- Overall Accuracy: 0.9771
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Purchase Time Precision | Purchase Time Recall | Purchase Time F1 | Purchase Time Number | Receipt Date Precision | Receipt Date Recall | Receipt Date F1 | Receipt Date 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 | Tip Amount Precision | Tip Amount Recall | Tip Amount F1 | Tip Amount Number | Total Precision | Total Recall | Total F1 | Total Number | Total Tax Amount Precision | Total Tax Amount Recall | Total Tax Amount F1 | Total Tax Amount Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:-------------------:|:----------------:|:------------:|:----------------:|:--------------------------:|:-----------------------:|:-------------------:|:-----------------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:---------------:|:------------:|:--------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:-----------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 0.2395 | 1.0 | 793 | 0.1693 | 0.8712 | 0.8984 | 0.8846 | 128 | 0.8398 | 0.8994 | 0.8686 | 169 | 0.8247 | 0.7273 | 0.7729 | 110 | 0.5621 | 0.7544 | 0.6442 | 114 | 0.6822 | 0.6592 | 0.6705 | 267 | 0.0 | 0.0 | 0.0 | 2 | 0.8242 | 0.8197 | 0.8219 | 183 | 0.5185 | 0.8615 | 0.6474 | 65 | 0.7336 | 0.7852 | 0.7585 | 0.9653 |
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| 0.0927 | 2.0 | 1586 | 0.1365 | 0.8406 | 0.9062 | 0.8722 | 128 | 0.8827 | 0.9349 | 0.9080 | 169 | 0.8866 | 0.7818 | 0.8309 | 110 | 0.5968 | 0.6491 | 0.6218 | 114 | 0.7027 | 0.6816 | 0.6920 | 267 | 0.0 | 0.0 | 0.0 | 2 | 0.7788 | 0.8852 | 0.8286 | 183 | 0.7237 | 0.8462 | 0.7801 | 65 | 0.7706 | 0.8025 | 0.7862 | 0.9733 |
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| 0.0596 | 3.0 | 2379 | 0.1552 | 0.9048 | 0.8906 | 0.8976 | 128 | 0.8548 | 0.9408 | 0.8958 | 169 | 0.776 | 0.8818 | 0.8255 | 110 | 0.6443 | 0.8421 | 0.7300 | 114 | 0.6945 | 0.7154 | 0.7048 | 267 | 0.0 | 0.0 | 0.0 | 2 | 0.7814 | 0.9180 | 0.8442 | 183 | 0.8571 | 0.8308 | 0.8438 | 65 | 0.7717 | 0.8468 | 0.8075 | 0.9728 |
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| 0.0476 | 4.0 | 3172 | 0.1411 | 0.888 | 0.8672 | 0.8775 | 128 | 0.8941 | 0.8994 | 0.8968 | 169 | 0.8017 | 0.8818 | 0.8398 | 110 | 0.6479 | 0.8070 | 0.7188 | 114 | 0.7287 | 0.7041 | 0.7162 | 267 | 0.0 | 0.0 | 0.0 | 2 | 0.8564 | 0.8798 | 0.8679 | 183 | 0.7778 | 0.8615 | 0.8175 | 65 | 0.7965 | 0.8256 | 0.8108 | 0.9765 |
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| 0.0324 | 5.0 | 3965 | 0.1766 | 0.8992 | 0.9062 | 0.9027 | 128 | 0.8933 | 0.9408 | 0.9164 | 169 | 0.8319 | 0.8545 | 0.8430 | 110 | 0.6769 | 0.7719 | 0.7213 | 114 | 0.7530 | 0.6966 | 0.7237 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8049 | 0.9016 | 0.8505 | 183 | 0.7778 | 0.8615 | 0.8175 | 65 | 0.8048 | 0.8343 | 0.8193 | 0.9765 |
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| 0.0273 | 6.0 | 4758 | 0.2100 | 0.9062 | 0.9062 | 0.9062 | 128 | 0.8920 | 0.9290 | 0.9101 | 169 | 0.8455 | 0.8455 | 0.8455 | 110 | 0.6567 | 0.7719 | 0.7097 | 114 | 0.744 | 0.6966 | 0.7195 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8842 | 0.9180 | 0.9008 | 183 | 0.7639 | 0.8462 | 0.8029 | 65 | 0.8145 | 0.8333 | 0.8238 | 0.9752 |
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| 0.0207 | 7.0 | 5551 | 0.1994 | 0.925 | 0.8672 | 0.8952 | 128 | 0.8533 | 0.9290 | 0.8895 | 169 | 0.8679 | 0.8364 | 0.8519 | 110 | 0.5696 | 0.7895 | 0.6618 | 114 | 0.8050 | 0.7266 | 0.7638 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8730 | 0.9016 | 0.8871 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8139 | 0.8343 | 0.8240 | 0.9748 |
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| 0.0172 | 8.0 | 6344 | 0.1989 | 0.8846 | 0.8984 | 0.8915 | 128 | 0.8674 | 0.9290 | 0.8971 | 169 | 0.8158 | 0.8455 | 0.8304 | 110 | 0.6940 | 0.8158 | 0.75 | 114 | 0.7366 | 0.7228 | 0.7297 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8737 | 0.9071 | 0.8901 | 183 | 0.7733 | 0.8923 | 0.8286 | 65 | 0.8061 | 0.8449 | 0.8250 | 0.9776 |
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| 0.0153 | 9.0 | 7137 | 0.2238 | 0.8636 | 0.8906 | 0.8769 | 128 | 0.8674 | 0.9290 | 0.8971 | 169 | 0.8679 | 0.8364 | 0.8519 | 110 | 0.6438 | 0.8246 | 0.7231 | 114 | 0.7153 | 0.7341 | 0.7246 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8490 | 0.8907 | 0.8693 | 183 | 0.8358 | 0.8615 | 0.8485 | 65 | 0.7945 | 0.8420 | 0.8176 | 0.9744 |
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| 0.0099 | 10.0 | 7930 | 0.2257 | 0.912 | 0.8906 | 0.9012 | 128 | 0.9080 | 0.9349 | 0.9213 | 169 | 0.8304 | 0.8455 | 0.8378 | 110 | 0.6667 | 0.7544 | 0.7078 | 114 | 0.7444 | 0.7416 | 0.7430 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8865 | 0.8962 | 0.8913 | 183 | 0.8438 | 0.8308 | 0.8372 | 65 | 0.8221 | 0.8372 | 0.8296 | 0.9779 |
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| 0.0093 | 11.0 | 8723 | 0.2294 | 0.8760 | 0.8828 | 0.8794 | 128 | 0.8722 | 0.9290 | 0.8997 | 169 | 0.8462 | 0.8 | 0.8224 | 110 | 0.7287 | 0.8246 | 0.7737 | 114 | 0.7481 | 0.7453 | 0.7467 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8703 | 0.8798 | 0.875 | 183 | 0.8056 | 0.8923 | 0.8467 | 65 | 0.8172 | 0.8401 | 0.8285 | 0.9767 |
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| 0.0086 | 12.0 | 9516 | 0.2368 | 0.9 | 0.9141 | 0.9070 | 128 | 0.8864 | 0.9231 | 0.9043 | 169 | 0.8378 | 0.8455 | 0.8416 | 110 | 0.7876 | 0.7807 | 0.7841 | 114 | 0.764 | 0.7154 | 0.7389 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8610 | 0.8798 | 0.8703 | 183 | 0.8667 | 0.8 | 0.832 | 65 | 0.8367 | 0.8295 | 0.8331 | 0.9771 |
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| 0.0082 | 13.0 | 10309 | 0.2524 | 0.8915 | 0.8984 | 0.8949 | 128 | 0.8807 | 0.9172 | 0.8986 | 169 | 0.8835 | 0.8273 | 0.8545 | 110 | 0.736 | 0.8070 | 0.7699 | 114 | 0.7138 | 0.7191 | 0.7164 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8594 | 0.9016 | 0.88 | 183 | 0.6988 | 0.8923 | 0.7838 | 65 | 0.8063 | 0.8382 | 0.8219 | 0.9757 |
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| 0.0067 | 14.0 | 11102 | 0.2444 | 0.9062 | 0.9062 | 0.9062 | 128 | 0.8870 | 0.9290 | 0.9075 | 169 | 0.8407 | 0.8636 | 0.8520 | 110 | 0.7023 | 0.8070 | 0.7510 | 114 | 0.7196 | 0.7303 | 0.7249 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8804 | 0.8852 | 0.8828 | 183 | 0.8028 | 0.8769 | 0.8382 | 65 | 0.8134 | 0.8439 | 0.8284 | 0.9762 |
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| 0.0065 | 15.0 | 11895 | 0.2598 | 0.9048 | 0.8906 | 0.8976 | 128 | 0.8626 | 0.9290 | 0.8946 | 169 | 0.8624 | 0.8545 | 0.8584 | 110 | 0.6454 | 0.7982 | 0.7137 | 114 | 0.6814 | 0.7528 | 0.7153 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8763 | 0.8907 | 0.8835 | 183 | 0.8730 | 0.8462 | 0.8594 | 65 | 0.7944 | 0.8449 | 0.8189 | 0.9746 |
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| 0.0067 | 16.0 | 12688 | 0.2483 | 0.8992 | 0.9062 | 0.9027 | 128 | 0.8857 | 0.9172 | 0.9012 | 169 | 0.8585 | 0.8273 | 0.8426 | 110 | 0.7381 | 0.8158 | 0.775 | 114 | 0.7348 | 0.7266 | 0.7307 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8870 | 0.8579 | 0.8722 | 183 | 0.8889 | 0.8615 | 0.8750 | 65 | 0.8292 | 0.8324 | 0.8308 | 0.9774 |
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| 0.0053 | 17.0 | 13481 | 0.2762 | 0.9106 | 0.875 | 0.8924 | 128 | 0.8851 | 0.9112 | 0.8980 | 169 | 0.8641 | 0.8091 | 0.8357 | 110 | 0.6403 | 0.7807 | 0.7036 | 114 | 0.7469 | 0.6854 | 0.7148 | 267 | 1.0 | 0.5 | 0.6667 | 2 | 0.875 | 0.8798 | 0.8774 | 183 | 0.9167 | 0.8462 | 0.8800 | 65 | 0.8202 | 0.8131 | 0.8166 | 0.9755 |
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| 0.0052 | 18.0 | 14274 | 0.2549 | 0.9062 | 0.9062 | 0.9062 | 128 | 0.8814 | 0.9231 | 0.9017 | 169 | 0.8774 | 0.8455 | 0.8611 | 110 | 0.6812 | 0.8246 | 0.7460 | 114 | 0.7481 | 0.7341 | 0.7410 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8677 | 0.8962 | 0.8817 | 183 | 0.7867 | 0.9077 | 0.8429 | 65 | 0.8171 | 0.8478 | 0.8322 | 0.9763 |
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| 102 |
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| 0.0049 | 19.0 | 15067 | 0.2724 | 0.8760 | 0.8828 | 0.8794 | 128 | 0.8708 | 0.9172 | 0.8934 | 169 | 0.8390 | 0.9 | 0.8684 | 110 | 0.6458 | 0.8158 | 0.7209 | 114 | 0.7117 | 0.7303 | 0.7209 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8973 | 0.9071 | 0.9022 | 183 | 0.8209 | 0.8462 | 0.8333 | 65 | 0.8004 | 0.8459 | 0.8225 | 0.9759 |
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| 103 |
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| 0.0039 | 20.0 | 15860 | 0.2929 | 0.9167 | 0.8594 | 0.8871 | 128 | 0.8929 | 0.8876 | 0.8902 | 169 | 0.8679 | 0.8364 | 0.8519 | 110 | 0.7333 | 0.7719 | 0.7521 | 114 | 0.8106 | 0.6891 | 0.7449 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8967 | 0.9016 | 0.8992 | 183 | 0.7917 | 0.8769 | 0.8321 | 65 | 0.8488 | 0.8170 | 0.8326 | 0.9755 |
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| 104 |
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| 0.0033 | 21.0 | 16653 | 0.2467 | 0.9055 | 0.8984 | 0.9020 | 128 | 0.8902 | 0.9112 | 0.9006 | 169 | 0.8692 | 0.8455 | 0.8571 | 110 | 0.7154 | 0.7719 | 0.7426 | 114 | 0.7378 | 0.7378 | 0.7378 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8889 | 0.9180 | 0.9032 | 183 | 0.8485 | 0.8615 | 0.8550 | 65 | 0.8283 | 0.8410 | 0.8346 | 0.9781 |
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| 105 |
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| 0.0021 | 22.0 | 17446 | 0.2560 | 0.912 | 0.8906 | 0.9012 | 128 | 0.8960 | 0.9172 | 0.9064 | 169 | 0.8230 | 0.8455 | 0.8341 | 110 | 0.6875 | 0.7719 | 0.7273 | 114 | 0.7462 | 0.7378 | 0.7420 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.9213 | 0.8962 | 0.9086 | 183 | 0.8382 | 0.8769 | 0.8571 | 65 | 0.8278 | 0.8382 | 0.8329 | 0.9776 |
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| 106 |
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| 0.0017 | 23.0 | 18239 | 0.2891 | 0.9048 | 0.8906 | 0.8976 | 128 | 0.8920 | 0.9290 | 0.9101 | 169 | 0.8932 | 0.8364 | 0.8638 | 110 | 0.6905 | 0.7632 | 0.725 | 114 | 0.75 | 0.7079 | 0.7283 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.9066 | 0.9016 | 0.9041 | 183 | 0.7308 | 0.8769 | 0.7972 | 65 | 0.8258 | 0.8314 | 0.8286 | 0.9764 |
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| 107 |
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| 0.0055 | 24.0 | 19032 | 0.2853 | 0.8837 | 0.8906 | 0.8872 | 128 | 0.8708 | 0.9172 | 0.8934 | 169 | 0.8462 | 0.8 | 0.8224 | 110 | 0.6692 | 0.7807 | 0.7206 | 114 | 0.7153 | 0.7341 | 0.7246 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8907 | 0.8907 | 0.8907 | 183 | 0.8710 | 0.8308 | 0.8504 | 65 | 0.8085 | 0.8295 | 0.8188 | 0.9760 |
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| 108 |
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| 0.0018 | 25.0 | 19825 | 0.3104 | 0.912 | 0.8906 | 0.9012 | 128 | 0.8902 | 0.9112 | 0.9006 | 169 | 0.8364 | 0.8364 | 0.8364 | 110 | 0.6984 | 0.7719 | 0.7333 | 114 | 0.7668 | 0.7266 | 0.7462 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8865 | 0.8962 | 0.8913 | 183 | 0.9455 | 0.8 | 0.8667 | 65 | 0.8358 | 0.8285 | 0.8321 | 0.9758 |
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| 109 |
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| 0.0014 | 26.0 | 20618 | 0.3030 | 0.8828 | 0.8828 | 0.8828 | 128 | 0.8908 | 0.9172 | 0.9038 | 169 | 0.9231 | 0.7636 | 0.8358 | 110 | 0.7008 | 0.7807 | 0.7386 | 114 | 0.7683 | 0.7079 | 0.7368 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8871 | 0.9016 | 0.8943 | 183 | 0.8889 | 0.8615 | 0.8750 | 65 | 0.8387 | 0.8218 | 0.8302 | 0.9761 |
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| 110 |
+
| 0.0018 | 27.0 | 21411 | 0.2970 | 0.8692 | 0.8828 | 0.8760 | 128 | 0.8864 | 0.9231 | 0.9043 | 169 | 0.8476 | 0.8091 | 0.8279 | 110 | 0.6947 | 0.7982 | 0.7429 | 114 | 0.7660 | 0.7603 | 0.7632 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.9011 | 0.8962 | 0.8986 | 183 | 0.8710 | 0.8308 | 0.8504 | 65 | 0.8281 | 0.8401 | 0.8341 | 0.9766 |
|
| 111 |
+
| 0.0013 | 28.0 | 22204 | 0.2850 | 0.8779 | 0.8984 | 0.8880 | 128 | 0.8851 | 0.9112 | 0.8980 | 169 | 0.8158 | 0.8455 | 0.8304 | 110 | 0.7031 | 0.7895 | 0.7438 | 114 | 0.7595 | 0.7453 | 0.7524 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.9148 | 0.8798 | 0.8969 | 183 | 0.8889 | 0.8615 | 0.8750 | 65 | 0.8286 | 0.8382 | 0.8333 | 0.9776 |
|
| 112 |
+
| 0.0019 | 29.0 | 22997 | 0.2709 | 0.8976 | 0.8906 | 0.8941 | 128 | 0.9064 | 0.9172 | 0.9118 | 169 | 0.8167 | 0.8909 | 0.8522 | 110 | 0.7227 | 0.7544 | 0.7382 | 114 | 0.7556 | 0.7640 | 0.7598 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.9405 | 0.8634 | 0.9003 | 183 | 0.9138 | 0.8154 | 0.8618 | 65 | 0.8406 | 0.8382 | 0.8394 | 0.9771 |
|
| 113 |
+
| 0.0014 | 30.0 | 23790 | 0.2976 | 0.8906 | 0.8906 | 0.8906 | 128 | 0.8947 | 0.9053 | 0.9000 | 169 | 0.8276 | 0.8727 | 0.8496 | 110 | 0.6742 | 0.7807 | 0.7236 | 114 | 0.7303 | 0.7303 | 0.7303 | 267 | 0.6667 | 1.0 | 0.8 | 2 | 0.9106 | 0.8907 | 0.9006 | 183 | 0.8871 | 0.8462 | 0.8661 | 65 | 0.8195 | 0.8353 | 0.8273 | 0.9765 |
|
| 114 |
+
| 0.0014 | 31.0 | 24583 | 0.2994 | 0.9062 | 0.9062 | 0.9062 | 128 | 0.9023 | 0.9290 | 0.9155 | 169 | 0.8246 | 0.8545 | 0.8393 | 110 | 0.6471 | 0.7719 | 0.704 | 114 | 0.7586 | 0.7416 | 0.75 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8783 | 0.9071 | 0.8925 | 183 | 0.8529 | 0.8923 | 0.8722 | 65 | 0.8200 | 0.8468 | 0.8332 | 0.9770 |
|
| 115 |
+
| 0.0011 | 32.0 | 25376 | 0.2895 | 0.912 | 0.8906 | 0.9012 | 128 | 0.9070 | 0.9231 | 0.9150 | 169 | 0.8559 | 0.8636 | 0.8597 | 110 | 0.6641 | 0.7632 | 0.7102 | 114 | 0.7263 | 0.7453 | 0.7357 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8919 | 0.9016 | 0.8967 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8205 | 0.8410 | 0.8306 | 0.9770 |
|
| 116 |
+
| 0.0015 | 33.0 | 26169 | 0.2966 | 0.8915 | 0.8984 | 0.8949 | 128 | 0.9023 | 0.9290 | 0.9155 | 169 | 0.7965 | 0.8182 | 0.8072 | 110 | 0.6917 | 0.8070 | 0.7449 | 114 | 0.7071 | 0.7416 | 0.7239 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8859 | 0.8907 | 0.8883 | 183 | 0.8529 | 0.8923 | 0.8722 | 65 | 0.8079 | 0.8430 | 0.8251 | 0.9762 |
|
| 117 |
+
| 0.0007 | 34.0 | 26962 | 0.3250 | 0.8915 | 0.8984 | 0.8949 | 128 | 0.8820 | 0.9290 | 0.9049 | 169 | 0.8411 | 0.8182 | 0.8295 | 110 | 0.6403 | 0.7807 | 0.7036 | 114 | 0.7425 | 0.7453 | 0.7439 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8956 | 0.8907 | 0.8932 | 183 | 0.9322 | 0.8462 | 0.8871 | 65 | 0.8177 | 0.8382 | 0.8278 | 0.9751 |
|
| 118 |
+
| 0.0011 | 35.0 | 27755 | 0.3033 | 0.8898 | 0.8828 | 0.8863 | 128 | 0.8764 | 0.9231 | 0.8991 | 169 | 0.8532 | 0.8455 | 0.8493 | 110 | 0.7109 | 0.7982 | 0.7521 | 114 | 0.7634 | 0.7491 | 0.7561 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8871 | 0.9016 | 0.8943 | 183 | 0.9167 | 0.8462 | 0.8800 | 65 | 0.8317 | 0.8430 | 0.8373 | 0.9767 |
|
| 119 |
+
| 0.0013 | 36.0 | 28548 | 0.3173 | 0.8898 | 0.8828 | 0.8863 | 128 | 0.8864 | 0.9231 | 0.9043 | 169 | 0.8158 | 0.8455 | 0.8304 | 110 | 0.7165 | 0.7982 | 0.7552 | 114 | 0.7826 | 0.7416 | 0.7615 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8817 | 0.8962 | 0.8889 | 183 | 0.7887 | 0.8615 | 0.8235 | 65 | 0.8267 | 0.8410 | 0.8338 | 0.9766 |
|
| 120 |
+
| 0.0032 | 37.0 | 29341 | 0.3098 | 0.8837 | 0.8906 | 0.8872 | 128 | 0.8902 | 0.9112 | 0.9006 | 169 | 0.8532 | 0.8455 | 0.8493 | 110 | 0.7143 | 0.7895 | 0.7500 | 114 | 0.7634 | 0.7491 | 0.7561 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8859 | 0.8907 | 0.8883 | 183 | 0.9032 | 0.8615 | 0.8819 | 65 | 0.8329 | 0.8401 | 0.8365 | 0.9769 |
|
| 121 |
+
| 0.0005 | 38.0 | 30134 | 0.3061 | 0.8837 | 0.8906 | 0.8872 | 128 | 0.9012 | 0.9172 | 0.9091 | 169 | 0.8824 | 0.8182 | 0.8491 | 110 | 0.728 | 0.7982 | 0.7615 | 114 | 0.7654 | 0.7453 | 0.7552 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8950 | 0.8852 | 0.8901 | 183 | 0.9167 | 0.8462 | 0.8800 | 65 | 0.8419 | 0.8362 | 0.8391 | 0.9774 |
|
| 122 |
+
| 0.0003 | 39.0 | 30927 | 0.3165 | 0.8898 | 0.8828 | 0.8863 | 128 | 0.8857 | 0.9172 | 0.9012 | 169 | 0.8667 | 0.8273 | 0.8465 | 110 | 0.6917 | 0.8070 | 0.7449 | 114 | 0.7567 | 0.7453 | 0.7509 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8836 | 0.9126 | 0.8978 | 183 | 0.8235 | 0.8615 | 0.8421 | 65 | 0.8239 | 0.8430 | 0.8333 | 0.9768 |
|
| 123 |
+
| 0.0006 | 40.0 | 31720 | 0.3112 | 0.875 | 0.875 | 0.875 | 128 | 0.8960 | 0.9172 | 0.9064 | 169 | 0.8571 | 0.8182 | 0.8372 | 110 | 0.7132 | 0.8070 | 0.7572 | 114 | 0.7614 | 0.7528 | 0.7571 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8743 | 0.9126 | 0.8930 | 183 | 0.8871 | 0.8462 | 0.8661 | 65 | 0.8292 | 0.8420 | 0.8356 | 0.9769 |
|
| 124 |
+
| 0.0003 | 41.0 | 32513 | 0.3157 | 0.8819 | 0.875 | 0.8784 | 128 | 0.8814 | 0.9231 | 0.9017 | 169 | 0.8396 | 0.8091 | 0.8241 | 110 | 0.6866 | 0.8070 | 0.7419 | 114 | 0.7218 | 0.7678 | 0.7441 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8691 | 0.9071 | 0.8877 | 183 | 0.9310 | 0.8308 | 0.8780 | 65 | 0.8119 | 0.8439 | 0.8276 | 0.9761 |
|
| 125 |
+
| 0.0004 | 42.0 | 33306 | 0.3131 | 0.8898 | 0.8828 | 0.8863 | 128 | 0.8757 | 0.9172 | 0.8960 | 169 | 0.8725 | 0.8091 | 0.8396 | 110 | 0.7244 | 0.8070 | 0.7635 | 114 | 0.7752 | 0.7491 | 0.7619 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8677 | 0.8962 | 0.8817 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8317 | 0.8382 | 0.8349 | 0.9778 |
|
| 126 |
+
| 0.0003 | 43.0 | 34099 | 0.3147 | 0.8906 | 0.8906 | 0.8906 | 128 | 0.8757 | 0.9172 | 0.8960 | 169 | 0.8378 | 0.8455 | 0.8416 | 110 | 0.7109 | 0.7982 | 0.7521 | 114 | 0.7704 | 0.7416 | 0.7557 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8624 | 0.8907 | 0.8763 | 183 | 0.8730 | 0.8462 | 0.8594 | 65 | 0.8256 | 0.8391 | 0.8323 | 0.9774 |
|
| 127 |
+
| 0.0003 | 44.0 | 34892 | 0.3390 | 0.8828 | 0.8828 | 0.8828 | 128 | 0.8757 | 0.9172 | 0.8960 | 169 | 0.8378 | 0.8455 | 0.8416 | 110 | 0.6691 | 0.7982 | 0.7280 | 114 | 0.7577 | 0.7378 | 0.7476 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8670 | 0.8907 | 0.8787 | 183 | 0.8730 | 0.8462 | 0.8594 | 65 | 0.8160 | 0.8372 | 0.8264 | 0.9756 |
|
| 128 |
+
| 0.0004 | 45.0 | 35685 | 0.3224 | 0.8810 | 0.8672 | 0.8740 | 128 | 0.8960 | 0.9172 | 0.9064 | 169 | 0.8364 | 0.8364 | 0.8364 | 110 | 0.7023 | 0.8070 | 0.7510 | 114 | 0.7689 | 0.7228 | 0.7452 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8624 | 0.8907 | 0.8763 | 183 | 0.875 | 0.8615 | 0.8682 | 65 | 0.8260 | 0.8324 | 0.8292 | 0.9767 |
|
| 129 |
+
| 0.0002 | 46.0 | 36478 | 0.3259 | 0.8810 | 0.8672 | 0.8740 | 128 | 0.8908 | 0.9172 | 0.9038 | 169 | 0.8440 | 0.8364 | 0.8402 | 110 | 0.6947 | 0.7982 | 0.7429 | 114 | 0.7617 | 0.7303 | 0.7457 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8670 | 0.8907 | 0.8787 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8229 | 0.8324 | 0.8276 | 0.9767 |
|
| 130 |
+
| 0.0003 | 47.0 | 37271 | 0.3282 | 0.8810 | 0.8672 | 0.8740 | 128 | 0.8908 | 0.9172 | 0.9038 | 169 | 0.8440 | 0.8364 | 0.8402 | 110 | 0.7054 | 0.7982 | 0.7490 | 114 | 0.7787 | 0.7378 | 0.7577 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8763 | 0.8907 | 0.8835 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8303 | 0.8343 | 0.8323 | 0.9772 |
|
| 131 |
+
| 0.0001 | 48.0 | 38064 | 0.3284 | 0.8810 | 0.8672 | 0.8740 | 128 | 0.8953 | 0.9112 | 0.9032 | 169 | 0.8440 | 0.8364 | 0.8402 | 110 | 0.7398 | 0.7982 | 0.7679 | 114 | 0.788 | 0.7378 | 0.7621 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8757 | 0.8852 | 0.8804 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8380 | 0.8324 | 0.8352 | 0.9775 |
|
| 132 |
+
| 0.0002 | 49.0 | 38857 | 0.3272 | 0.8810 | 0.8672 | 0.8740 | 128 | 0.8953 | 0.9112 | 0.9032 | 169 | 0.8455 | 0.8455 | 0.8455 | 110 | 0.7339 | 0.7982 | 0.7647 | 114 | 0.7857 | 0.7416 | 0.7630 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8717 | 0.8907 | 0.8811 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8361 | 0.8353 | 0.8357 | 0.9777 |
|
| 133 |
+
| 0.0001 | 50.0 | 39650 | 0.3278 | 0.8810 | 0.8672 | 0.8740 | 128 | 0.8960 | 0.9172 | 0.9064 | 169 | 0.8455 | 0.8455 | 0.8455 | 110 | 0.7339 | 0.7982 | 0.7647 | 114 | 0.7857 | 0.7416 | 0.7630 | 267 | 1.0 | 1.0 | 1.0 | 2 | 0.8717 | 0.8907 | 0.8811 | 183 | 0.8594 | 0.8462 | 0.8527 | 65 | 0.8362 | 0.8362 | 0.8362 | 0.9777 |
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
### Framework versions
|
| 137 |
+
|
| 138 |
+
- Transformers 4.25.0.dev0
|
| 139 |
+
- Pytorch 1.12.1+cu113
|
| 140 |
+
- Datasets 2.2.2
|
| 141 |
+
- Tokenizers 0.13.2
|