--- license: cc-by-nc-sa-4.0 base_model: microsoft/layoutlmv3-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: 2024-01-11_one_stage_subgraphs_entropyreg_txt_vision_enc_all_ramp results: [] --- # 2024-01-11_one_stage_subgraphs_entropyreg_txt_vision_enc_all_ramp This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.7684 - Accuracy: 0.7425 - Exit 0 Accuracy: 0.0625 - Exit 1 Accuracy: 0.05 - Exit 2 Accuracy: 0.08 - Exit 3 Accuracy: 0.12 - Exit 4 Accuracy: 0.1075 - Exit 5 Accuracy: 0.38 - Exit 6 Accuracy: 0.6625 - Exit 7 Accuracy: 0.7225 - Exit 8 Accuracy: 0.7175 - Exit 9 Accuracy: 0.735 - Exit 10 Accuracy: 0.7425 - Exit 11 Accuracy: 0.7425 - Exit 12 Accuracy: 0.7425 - Exit 13 Accuracy: 0.7425 ## 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: 2e-05 - train_batch_size: 2 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 24 - total_train_batch_size: 48 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 60 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy | Exit 5 Accuracy | Exit 6 Accuracy | Exit 7 Accuracy | Exit 8 Accuracy | Exit 9 Accuracy | Exit 10 Accuracy | Exit 11 Accuracy | Exit 12 Accuracy | Exit 13 Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|:----------------:|:----------------:|:----------------:|:----------------:| | No log | 0.96 | 16 | 2.6864 | 0.1775 | 0.0525 | 0.05 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0725 | | No log | 1.98 | 33 | 2.5149 | 0.255 | 0.065 | 0.05 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.065 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.09 | | No log | 3.0 | 50 | 2.3270 | 0.3325 | 0.0625 | 0.05 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.085 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.15 | | No log | 3.96 | 66 | 2.1448 | 0.39 | 0.06 | 0.05 | 0.0625 | 0.08 | 0.0625 | 0.0625 | 0.08 | 0.065 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.13 | | No log | 4.98 | 83 | 1.9464 | 0.4675 | 0.075 | 0.05 | 0.0625 | 0.07 | 0.0625 | 0.0625 | 0.075 | 0.0725 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.215 | | No log | 6.0 | 100 | 1.6533 | 0.565 | 0.0675 | 0.05 | 0.0625 | 0.065 | 0.0625 | 0.0625 | 0.105 | 0.09 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.2575 | | No log | 6.96 | 116 | 1.4101 | 0.6325 | 0.0675 | 0.05 | 0.0625 | 0.065 | 0.0625 | 0.0625 | 0.1025 | 0.1175 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.39 | | No log | 7.98 | 133 | 1.2738 | 0.6725 | 0.0675 | 0.05 | 0.0625 | 0.07 | 0.0625 | 0.0625 | 0.1125 | 0.135 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.425 | | No log | 9.0 | 150 | 1.1300 | 0.715 | 0.06 | 0.05 | 0.0625 | 0.07 | 0.0625 | 0.0625 | 0.11 | 0.1375 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.525 | | No log | 9.96 | 166 | 1.0187 | 0.7525 | 0.06 | 0.05 | 0.0625 | 0.065 | 0.0625 | 0.0625 | 0.12 | 0.1375 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.535 | | No log | 10.98 | 183 | 0.9542 | 0.74 | 0.06 | 0.05 | 0.0625 | 0.0675 | 0.0625 | 0.0625 | 0.1175 | 0.1525 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.615 | | No log | 12.0 | 200 | 0.9636 | 0.74 | 0.06 | 0.05 | 0.0625 | 0.07 | 0.0625 | 0.0625 | 0.12 | 0.1675 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.6325 | | No log | 12.96 | 216 | 0.9379 | 0.7425 | 0.06 | 0.05 | 0.0625 | 0.08 | 0.0625 | 0.0625 | 0.115 | 0.1825 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.645 | | No log | 13.98 | 233 | 0.9400 | 0.7575 | 0.06 | 0.05 | 0.0625 | 0.08 | 0.0625 | 0.0625 | 0.105 | 0.2075 | 0.0675 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.695 | | No log | 15.0 | 250 | 0.9432 | 0.7425 | 0.06 | 0.05 | 0.0625 | 0.08 | 0.0625 | 0.0625 | 0.125 | 0.2325 | 0.0725 | 0.0625 | 0.0625 | 0.0625 | 0.08 | 0.75 | | No log | 15.96 | 266 | 0.9819 | 0.7575 | 0.06 | 0.05 | 0.0625 | 0.08 | 0.0625 | 0.0625 | 0.1175 | 0.28 | 0.1475 | 0.0625 | 0.0625 | 0.0625 | 0.07 | 0.7475 | | No log | 16.98 | 283 | 1.0413 | 0.7525 | 0.06 | 0.05 | 0.0625 | 0.085 | 0.0625 | 0.0625 | 0.1275 | 0.3125 | 0.2575 | 0.0625 | 0.0625 | 0.0625 | 0.09 | 0.7475 | | No log | 18.0 | 300 | 0.9949 | 0.78 | 0.0625 | 0.05 | 0.0625 | 0.0875 | 0.0625 | 0.0625 | 0.1625 | 0.3475 | 0.38 | 0.0625 | 0.0625 | 0.0625 | 0.1025 | 0.76 | | No log | 18.96 | 316 | 1.0809 | 0.7625 | 0.06 | 0.05 | 0.0625 | 0.0825 | 0.0625 | 0.0625 | 0.18 | 0.3725 | 0.5125 | 0.0625 | 0.0625 | 0.0625 | 0.14 | 0.75 | | No log | 19.98 | 333 | 1.1297 | 0.755 | 0.06 | 0.05 | 0.0625 | 0.0825 | 0.0625 | 0.0625 | 0.21 | 0.425 | 0.61 | 0.1325 | 0.0625 | 0.0625 | 0.22 | 0.7575 | | No log | 21.0 | 350 | 1.1168 | 0.78 | 0.0625 | 0.05 | 0.0625 | 0.0875 | 0.0625 | 0.0625 | 0.2325 | 0.475 | 0.63 | 0.215 | 0.0625 | 0.0625 | 0.28 | 0.7775 | | No log | 21.96 | 366 | 1.1737 | 0.76 | 0.06 | 0.05 | 0.0625 | 0.0825 | 0.0625 | 0.0625 | 0.2675 | 0.53 | 0.6625 | 0.38 | 0.0625 | 0.0625 | 0.4025 | 0.7625 | | No log | 22.98 | 383 | 1.1825 | 0.775 | 0.06 | 0.05 | 0.0625 | 0.0825 | 0.0625 | 0.0625 | 0.3375 | 0.5425 | 0.6925 | 0.505 | 0.1375 | 0.085 | 0.635 | 0.7675 | | No log | 24.0 | 400 | 1.1897 | 0.77 | 0.06 | 0.05 | 0.0625 | 0.085 | 0.0625 | 0.0625 | 0.37 | 0.585 | 0.6975 | 0.55 | 0.2725 | 0.22 | 0.7525 | 0.7625 | | No log | 24.96 | 416 | 1.2044 | 0.7625 | 0.07 | 0.05 | 0.0625 | 0.0875 | 0.0625 | 0.0625 | 0.4175 | 0.6225 | 0.7225 | 0.59 | 0.295 | 0.31 | 0.7625 | 0.765 | | No log | 25.98 | 433 | 1.2994 | 0.7625 | 0.06 | 0.05 | 0.0625 | 0.09 | 0.0625 | 0.0625 | 0.4625 | 0.6325 | 0.7225 | 0.685 | 0.455 | 0.5025 | 0.7525 | 0.7625 | | No log | 27.0 | 450 | 1.3615 | 0.75 | 0.065 | 0.05 | 0.0625 | 0.09 | 0.0625 | 0.0625 | 0.5 | 0.65 | 0.7175 | 0.695 | 0.5975 | 0.6025 | 0.75 | 0.7575 | | No log | 27.96 | 466 | 1.3147 | 0.7625 | 0.065 | 0.05 | 0.0625 | 0.0925 | 0.0625 | 0.0625 | 0.515 | 0.6725 | 0.7275 | 0.72 | 0.6525 | 0.675 | 0.755 | 0.765 | | No log | 28.98 | 483 | 1.3834 | 0.7625 | 0.0625 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.0625 | 0.53 | 0.6775 | 0.73 | 0.75 | 0.685 | 0.7075 | 0.755 | 0.7625 | | 1.6198 | 30.0 | 500 | 1.3835 | 0.765 | 0.07 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.0625 | 0.56 | 0.69 | 0.735 | 0.7425 | 0.6975 | 0.7075 | 0.7625 | 0.7625 | | 1.6198 | 30.96 | 516 | 1.3107 | 0.78 | 0.0625 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.07 | 0.5575 | 0.6875 | 0.7275 | 0.7475 | 0.7575 | 0.78 | 0.7775 | 0.78 | | 1.6198 | 31.98 | 533 | 1.4250 | 0.7675 | 0.0625 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.0725 | 0.56 | 0.6875 | 0.73 | 0.7525 | 0.7425 | 0.7525 | 0.7625 | 0.765 | | 1.6198 | 33.0 | 550 | 1.4812 | 0.7575 | 0.0625 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.0775 | 0.58 | 0.7 | 0.725 | 0.7375 | 0.74 | 0.755 | 0.7575 | 0.7575 | | 1.6198 | 33.96 | 566 | 1.4561 | 0.76 | 0.0625 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.0775 | 0.5825 | 0.7 | 0.74 | 0.7575 | 0.7525 | 0.76 | 0.755 | 0.7575 | | 1.6198 | 34.98 | 583 | 1.4261 | 0.765 | 0.0625 | 0.05 | 0.0625 | 0.095 | 0.0625 | 0.0875 | 0.5925 | 0.7025 | 0.735 | 0.75 | 0.755 | 0.7675 | 0.76 | 0.765 | | 1.6198 | 36.0 | 600 | 1.5167 | 0.7625 | 0.065 | 0.05 | 0.0625 | 0.1 | 0.0625 | 0.095 | 0.6025 | 0.705 | 0.7375 | 0.7475 | 0.7575 | 0.755 | 0.75 | 0.7575 | | 1.6198 | 36.96 | 616 | 1.5194 | 0.76 | 0.0625 | 0.05 | 0.0625 | 0.11 | 0.0625 | 0.105 | 0.61 | 0.7025 | 0.73 | 0.7475 | 0.7575 | 0.76 | 0.7525 | 0.7575 | | 1.6198 | 37.98 | 633 | 1.5906 | 0.7525 | 0.0625 | 0.05 | 0.0625 | 0.1 | 0.0625 | 0.1375 | 0.62 | 0.7225 | 0.735 | 0.7475 | 0.7525 | 0.75 | 0.7525 | 0.755 | | 1.6198 | 39.0 | 650 | 1.5770 | 0.7525 | 0.0625 | 0.05 | 0.0625 | 0.105 | 0.0625 | 0.1625 | 0.625 | 0.7225 | 0.73 | 0.7375 | 0.75 | 0.755 | 0.75 | 0.755 | | 1.6198 | 39.96 | 666 | 1.6364 | 0.745 | 0.065 | 0.05 | 0.0625 | 0.1025 | 0.0625 | 0.1875 | 0.6225 | 0.715 | 0.735 | 0.7275 | 0.7425 | 0.74 | 0.74 | 0.745 | | 1.6198 | 40.98 | 683 | 1.5944 | 0.755 | 0.0625 | 0.05 | 0.0625 | 0.1125 | 0.0625 | 0.2125 | 0.64 | 0.72 | 0.735 | 0.745 | 0.76 | 0.7525 | 0.76 | 0.7575 | | 1.6198 | 42.0 | 700 | 1.6703 | 0.7475 | 0.0625 | 0.05 | 0.0625 | 0.12 | 0.07 | 0.245 | 0.64 | 0.715 | 0.725 | 0.7375 | 0.745 | 0.7475 | 0.7425 | 0.7475 | | 1.6198 | 42.96 | 716 | 1.6740 | 0.745 | 0.0625 | 0.05 | 0.0625 | 0.12 | 0.07 | 0.25 | 0.6425 | 0.7 | 0.735 | 0.735 | 0.745 | 0.745 | 0.74 | 0.745 | | 1.6198 | 43.98 | 733 | 1.7231 | 0.74 | 0.0625 | 0.05 | 0.0625 | 0.12 | 0.08 | 0.265 | 0.6525 | 0.7075 | 0.725 | 0.74 | 0.7475 | 0.745 | 0.7375 | 0.7375 | | 1.6198 | 45.0 | 750 | 1.6939 | 0.7525 | 0.0625 | 0.05 | 0.0625 | 0.12 | 0.0825 | 0.2725 | 0.645 | 0.7125 | 0.725 | 0.7425 | 0.7475 | 0.7425 | 0.7425 | 0.755 | | 1.6198 | 45.96 | 766 | 1.7421 | 0.745 | 0.0625 | 0.05 | 0.0625 | 0.12 | 0.0875 | 0.2825 | 0.655 | 0.7125 | 0.7325 | 0.7475 | 0.75 | 0.7425 | 0.7425 | 0.745 | | 1.6198 | 46.98 | 783 | 1.7177 | 0.7425 | 0.06 | 0.05 | 0.065 | 0.12 | 0.0875 | 0.3 | 0.65 | 0.72 | 0.7325 | 0.7425 | 0.7475 | 0.75 | 0.745 | 0.745 | | 1.6198 | 48.0 | 800 | 1.7315 | 0.75 | 0.0625 | 0.05 | 0.065 | 0.12 | 0.09 | 0.3225 | 0.645 | 0.7225 | 0.725 | 0.7375 | 0.7525 | 0.745 | 0.745 | 0.75 | | 1.6198 | 48.96 | 816 | 1.7541 | 0.7475 | 0.0625 | 0.05 | 0.065 | 0.12 | 0.0925 | 0.32 | 0.6575 | 0.72 | 0.7325 | 0.7275 | 0.7375 | 0.745 | 0.745 | 0.7475 | | 1.6198 | 49.98 | 833 | 1.7533 | 0.745 | 0.0625 | 0.05 | 0.07 | 0.12 | 0.0925 | 0.345 | 0.6675 | 0.72 | 0.725 | 0.745 | 0.7525 | 0.7375 | 0.7425 | 0.7425 | | 1.6198 | 51.0 | 850 | 1.7161 | 0.745 | 0.0625 | 0.05 | 0.075 | 0.12 | 0.0925 | 0.36 | 0.655 | 0.7225 | 0.7275 | 0.7375 | 0.74 | 0.7375 | 0.745 | 0.75 | | 1.6198 | 51.96 | 866 | 1.7707 | 0.7425 | 0.0625 | 0.05 | 0.0775 | 0.12 | 0.095 | 0.3675 | 0.6625 | 0.72 | 0.725 | 0.7475 | 0.74 | 0.7425 | 0.7375 | 0.7425 | | 1.6198 | 52.98 | 883 | 1.7398 | 0.7475 | 0.0625 | 0.05 | 0.08 | 0.12 | 0.1025 | 0.365 | 0.665 | 0.7225 | 0.725 | 0.7325 | 0.74 | 0.7425 | 0.7475 | 0.7475 | | 1.6198 | 54.0 | 900 | 1.7368 | 0.75 | 0.0625 | 0.05 | 0.08 | 0.12 | 0.105 | 0.375 | 0.6625 | 0.7225 | 0.7225 | 0.735 | 0.745 | 0.7425 | 0.745 | 0.7525 | | 1.6198 | 54.96 | 916 | 1.7665 | 0.745 | 0.0625 | 0.05 | 0.08 | 0.12 | 0.105 | 0.3725 | 0.6625 | 0.7175 | 0.7225 | 0.735 | 0.745 | 0.74 | 0.7425 | 0.745 | | 1.6198 | 55.98 | 933 | 1.7775 | 0.7475 | 0.0625 | 0.05 | 0.08 | 0.12 | 0.105 | 0.375 | 0.665 | 0.7225 | 0.7225 | 0.735 | 0.7375 | 0.74 | 0.74 | 0.7475 | | 1.6198 | 57.0 | 950 | 1.7698 | 0.7425 | 0.0625 | 0.05 | 0.08 | 0.12 | 0.1075 | 0.3775 | 0.6625 | 0.72 | 0.7175 | 0.7325 | 0.7425 | 0.7425 | 0.7425 | 0.7425 | | 1.6198 | 57.6 | 960 | 1.7684 | 0.7425 | 0.0625 | 0.05 | 0.08 | 0.12 | 0.1075 | 0.38 | 0.6625 | 0.7225 | 0.7175 | 0.735 | 0.7425 | 0.7425 | 0.7425 | 0.7425 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3