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tmp

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layoutlmv2
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+ ---
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+ library_name: transformers
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+ license: cc-by-nc-sa-4.0
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+ base_model: microsoft/layoutlmv2-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: tmp
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+ results: []
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+ ---
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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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+
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+ # tmp
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.1124
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 5.2734 | 0.2212 | 50 | 4.4270 |
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+ | 4.3976 | 0.4425 | 100 | 4.0382 |
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+ | 4.0042 | 0.6637 | 150 | 3.8146 |
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+ | 3.7912 | 0.8850 | 200 | 3.5961 |
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+ | 3.4488 | 1.1062 | 250 | 3.7510 |
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+ | 3.1503 | 1.3274 | 300 | 3.1755 |
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+ | 3.1023 | 1.5487 | 350 | 2.8744 |
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+ | 2.7424 | 1.7699 | 400 | 2.7684 |
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+ | 2.3707 | 1.9912 | 450 | 2.7751 |
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+ | 2.0726 | 2.2124 | 500 | 2.8069 |
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+ | 1.7808 | 2.4336 | 550 | 2.4706 |
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+ | 1.9086 | 2.6549 | 600 | 2.3128 |
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+ | 1.8711 | 2.8761 | 650 | 2.2711 |
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+ | 1.5378 | 3.0973 | 700 | 2.7780 |
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+ | 1.4234 | 3.3186 | 750 | 2.3195 |
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+ | 1.3624 | 3.5398 | 800 | 2.8083 |
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+ | 1.5029 | 3.7611 | 850 | 2.3164 |
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+ | 1.4002 | 3.9823 | 900 | 2.2043 |
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+ | 0.993 | 4.2035 | 950 | 2.3923 |
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+ | 1.1307 | 4.4248 | 1000 | 2.6620 |
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+ | 1.0207 | 4.6460 | 1050 | 3.0029 |
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+ | 0.9392 | 4.8673 | 1100 | 2.7303 |
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+ | 0.8404 | 5.0885 | 1150 | 2.9590 |
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+ | 0.7301 | 5.3097 | 1200 | 3.0281 |
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+ | 0.723 | 5.5310 | 1250 | 2.8981 |
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+ | 0.5396 | 5.7522 | 1300 | 3.2900 |
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+ | 0.8811 | 5.9735 | 1350 | 2.8048 |
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+ | 0.5488 | 6.1947 | 1400 | 3.0010 |
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+ | 0.5603 | 6.4159 | 1450 | 3.3632 |
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+ | 0.6611 | 6.6372 | 1500 | 3.1133 |
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+ | 0.589 | 6.8584 | 1550 | 2.9019 |
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+ | 0.5597 | 7.0796 | 1600 | 3.5935 |
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+ | 0.2414 | 7.3009 | 1650 | 3.6715 |
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+ | 0.5152 | 7.5221 | 1700 | 3.3859 |
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+ | 0.3482 | 7.7434 | 1750 | 3.4798 |
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+ | 0.4217 | 7.9646 | 1800 | 3.6040 |
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+ | 0.3183 | 8.1858 | 1850 | 3.9913 |
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+ | 0.1838 | 8.4071 | 1900 | 4.0946 |
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+ | 0.2845 | 8.6283 | 1950 | 3.8923 |
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+ | 0.3402 | 8.8496 | 2000 | 3.6999 |
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+ | 0.3264 | 9.0708 | 2050 | 3.7774 |
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+ | 0.205 | 9.2920 | 2100 | 3.9310 |
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+ | 0.2841 | 9.5133 | 2150 | 4.1358 |
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+ | 0.4066 | 9.7345 | 2200 | 3.8157 |
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+ | 0.2587 | 9.9558 | 2250 | 3.8218 |
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+ | 0.3097 | 10.1770 | 2300 | 3.3976 |
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+ | 0.1278 | 10.3982 | 2350 | 3.8840 |
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+ | 0.2826 | 10.6195 | 2400 | 4.1218 |
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+ | 0.3355 | 10.8407 | 2450 | 4.1840 |
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+ | 0.0822 | 11.0619 | 2500 | 4.3269 |
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+ | 0.0617 | 11.2832 | 2550 | 4.2505 |
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+ | 0.2015 | 11.5044 | 2600 | 4.3315 |
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+ | 0.1249 | 11.7257 | 2650 | 4.3413 |
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+ | 0.118 | 11.9469 | 2700 | 4.4579 |
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+ | 0.1772 | 12.1681 | 2750 | 4.2534 |
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+ | 0.0556 | 12.3894 | 2800 | 4.4677 |
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+ | 0.1161 | 12.6106 | 2850 | 4.3609 |
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+ | 0.13 | 12.8319 | 2900 | 4.2524 |
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+ | 0.1565 | 13.0531 | 2950 | 4.1582 |
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+ | 0.1165 | 13.2743 | 3000 | 4.5896 |
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+ | 0.0341 | 13.4956 | 3050 | 4.7110 |
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+ | 0.0532 | 13.7168 | 3100 | 4.6562 |
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+ | 0.1283 | 13.9381 | 3150 | 4.8117 |
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+ | 0.0744 | 14.1593 | 3200 | 4.6408 |
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+ | 0.0289 | 14.3805 | 3250 | 4.8391 |
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+ | 0.0293 | 14.6018 | 3300 | 4.9042 |
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+ | 0.1226 | 14.8230 | 3350 | 4.8181 |
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+ | 0.0453 | 15.0442 | 3400 | 4.8071 |
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+ | 0.0229 | 15.2655 | 3450 | 4.8802 |
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+ | 0.0077 | 15.4867 | 3500 | 4.8759 |
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+ | 0.0439 | 15.7080 | 3550 | 4.9694 |
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+ | 0.0754 | 15.9292 | 3600 | 4.9196 |
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+ | 0.0608 | 16.1504 | 3650 | 4.7920 |
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+ | 0.0292 | 16.3717 | 3700 | 4.9271 |
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+ | 0.0059 | 16.5929 | 3750 | 4.9988 |
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+ | 0.0286 | 16.8142 | 3800 | 4.9258 |
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+ | 0.0047 | 17.0354 | 3850 | 4.9470 |
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+ | 0.0231 | 17.2566 | 3900 | 4.9583 |
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+ | 0.0254 | 17.4779 | 3950 | 4.9438 |
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+ | 0.023 | 17.6991 | 4000 | 4.9529 |
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+ | 0.016 | 17.9204 | 4050 | 5.0210 |
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+ | 0.0039 | 18.1416 | 4100 | 5.0263 |
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+ | 0.0039 | 18.3628 | 4150 | 5.0436 |
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+ | 0.0103 | 18.5841 | 4200 | 5.0655 |
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+ | 0.0084 | 18.8053 | 4250 | 5.0971 |
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+ | 0.0681 | 19.0265 | 4300 | 5.0795 |
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+ | 0.0157 | 19.2478 | 4350 | 5.0929 |
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+ | 0.0039 | 19.4690 | 4400 | 5.1009 |
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+ | 0.0089 | 19.6903 | 4450 | 5.1096 |
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+ | 0.0086 | 19.9115 | 4500 | 5.1124 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1