--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-07_went-g075 results: [] --- # EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-07_went-g075 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: 1.0504 - Accuracy: 0.7125 - Exit 0 Accuracy: 0.1125 - Exit 1 Accuracy: 0.165 - Exit 2 Accuracy: 0.225 - Exit 3 Accuracy: 0.12 - Exit 4 Accuracy: 0.0625 ## 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: 12 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 24 - total_train_batch_size: 288 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:| | No log | 0.72 | 2 | 2.7604 | 0.1075 | 0.105 | 0.0675 | 0.085 | 0.0625 | 0.0625 | | No log | 1.72 | 4 | 2.7306 | 0.115 | 0.105 | 0.065 | 0.1025 | 0.0625 | 0.0625 | | No log | 2.72 | 6 | 2.6942 | 0.135 | 0.1125 | 0.06 | 0.1175 | 0.0625 | 0.0625 | | No log | 3.72 | 8 | 2.6616 | 0.175 | 0.095 | 0.06 | 0.12 | 0.0625 | 0.0625 | | No log | 4.72 | 10 | 2.6127 | 0.21 | 0.0875 | 0.0575 | 0.115 | 0.0625 | 0.0625 | | No log | 5.72 | 12 | 2.5727 | 0.225 | 0.0925 | 0.08 | 0.12 | 0.0625 | 0.0625 | | No log | 6.72 | 14 | 2.5379 | 0.23 | 0.095 | 0.0825 | 0.1225 | 0.0625 | 0.0625 | | No log | 7.72 | 16 | 2.5095 | 0.2425 | 0.095 | 0.095 | 0.13 | 0.0625 | 0.0625 | | No log | 8.72 | 18 | 2.4690 | 0.27 | 0.0925 | 0.0975 | 0.1275 | 0.0625 | 0.0625 | | No log | 9.72 | 20 | 2.4357 | 0.2875 | 0.0925 | 0.125 | 0.13 | 0.0625 | 0.0625 | | No log | 10.72 | 22 | 2.3799 | 0.2975 | 0.0925 | 0.1175 | 0.1375 | 0.0625 | 0.0625 | | No log | 11.72 | 24 | 2.3244 | 0.3175 | 0.095 | 0.115 | 0.1275 | 0.0625 | 0.0625 | | No log | 12.72 | 26 | 2.2704 | 0.335 | 0.095 | 0.125 | 0.1275 | 0.0625 | 0.0625 | | No log | 13.72 | 28 | 2.2185 | 0.355 | 0.095 | 0.13 | 0.125 | 0.0625 | 0.0625 | | No log | 14.72 | 30 | 2.1710 | 0.375 | 0.1025 | 0.14 | 0.1275 | 0.0625 | 0.0625 | | No log | 15.72 | 32 | 2.1165 | 0.4 | 0.1025 | 0.145 | 0.13 | 0.0625 | 0.0625 | | No log | 16.72 | 34 | 2.0626 | 0.4125 | 0.1025 | 0.145 | 0.1325 | 0.0625 | 0.0625 | | No log | 17.72 | 36 | 2.0025 | 0.4225 | 0.1025 | 0.145 | 0.13 | 0.0625 | 0.0625 | | No log | 18.72 | 38 | 1.9375 | 0.4575 | 0.105 | 0.145 | 0.1425 | 0.0625 | 0.0625 | | No log | 19.72 | 40 | 1.8872 | 0.4925 | 0.105 | 0.1475 | 0.1475 | 0.0625 | 0.0625 | | No log | 20.72 | 42 | 1.8390 | 0.5325 | 0.1125 | 0.1525 | 0.15 | 0.0625 | 0.0625 | | No log | 21.72 | 44 | 1.7516 | 0.555 | 0.1125 | 0.1525 | 0.155 | 0.0625 | 0.0625 | | No log | 22.72 | 46 | 1.6969 | 0.5625 | 0.1125 | 0.1525 | 0.1575 | 0.0625 | 0.0625 | | No log | 23.72 | 48 | 1.6675 | 0.565 | 0.1125 | 0.15 | 0.16 | 0.0625 | 0.0625 | | No log | 24.72 | 50 | 1.6016 | 0.585 | 0.11 | 0.1525 | 0.16 | 0.0625 | 0.0625 | | No log | 25.72 | 52 | 1.5370 | 0.605 | 0.11 | 0.1525 | 0.16 | 0.0625 | 0.0625 | | No log | 26.72 | 54 | 1.5054 | 0.6 | 0.11 | 0.155 | 0.1625 | 0.0625 | 0.0625 | | No log | 27.72 | 56 | 1.4561 | 0.625 | 0.11 | 0.1525 | 0.1625 | 0.0625 | 0.0625 | | No log | 28.72 | 58 | 1.4254 | 0.6325 | 0.11 | 0.155 | 0.16 | 0.0625 | 0.0625 | | No log | 29.72 | 60 | 1.3801 | 0.6525 | 0.1125 | 0.155 | 0.165 | 0.065 | 0.0625 | | No log | 30.72 | 62 | 1.3379 | 0.665 | 0.115 | 0.1575 | 0.1725 | 0.0725 | 0.0625 | | No log | 31.72 | 64 | 1.3222 | 0.6775 | 0.1175 | 0.1575 | 0.18 | 0.0725 | 0.0625 | | No log | 32.72 | 66 | 1.2860 | 0.695 | 0.115 | 0.1575 | 0.185 | 0.075 | 0.0625 | | No log | 33.72 | 68 | 1.2668 | 0.6875 | 0.115 | 0.1575 | 0.185 | 0.08 | 0.0625 | | No log | 34.72 | 70 | 1.2448 | 0.6875 | 0.115 | 0.1575 | 0.185 | 0.0775 | 0.0625 | | No log | 35.72 | 72 | 1.2230 | 0.6925 | 0.115 | 0.155 | 0.1875 | 0.08 | 0.0625 | | No log | 36.72 | 74 | 1.1971 | 0.705 | 0.115 | 0.1575 | 0.1925 | 0.0925 | 0.0625 | | No log | 37.72 | 76 | 1.1796 | 0.7075 | 0.1175 | 0.1575 | 0.2 | 0.095 | 0.0625 | | No log | 38.72 | 78 | 1.1685 | 0.715 | 0.115 | 0.1575 | 0.205 | 0.095 | 0.0625 | | No log | 39.72 | 80 | 1.1468 | 0.715 | 0.115 | 0.1575 | 0.21 | 0.095 | 0.0625 | | No log | 40.72 | 82 | 1.1297 | 0.7175 | 0.115 | 0.1575 | 0.215 | 0.1 | 0.0625 | | No log | 41.72 | 84 | 1.1265 | 0.7175 | 0.1175 | 0.16 | 0.215 | 0.1025 | 0.0625 | | No log | 42.72 | 86 | 1.1192 | 0.7225 | 0.115 | 0.16 | 0.22 | 0.105 | 0.0625 | | No log | 43.72 | 88 | 1.1067 | 0.7175 | 0.115 | 0.16 | 0.22 | 0.1075 | 0.0625 | | No log | 44.72 | 90 | 1.0915 | 0.7175 | 0.115 | 0.16 | 0.2175 | 0.11 | 0.0625 | | No log | 45.72 | 92 | 1.0933 | 0.7125 | 0.115 | 0.16 | 0.2225 | 0.11 | 0.0625 | | No log | 46.72 | 94 | 1.0846 | 0.7175 | 0.115 | 0.16 | 0.22 | 0.11 | 0.0625 | | No log | 47.72 | 96 | 1.0818 | 0.72 | 0.115 | 0.16 | 0.22 | 0.1125 | 0.0625 | | No log | 48.72 | 98 | 1.0780 | 0.7175 | 0.115 | 0.1625 | 0.22 | 0.115 | 0.0625 | | No log | 49.72 | 100 | 1.0746 | 0.7225 | 0.1125 | 0.1625 | 0.2225 | 0.1175 | 0.0625 | | No log | 50.72 | 102 | 1.0698 | 0.715 | 0.1125 | 0.1625 | 0.225 | 0.1175 | 0.0625 | | No log | 51.72 | 104 | 1.0630 | 0.7125 | 0.1125 | 0.1625 | 0.225 | 0.1175 | 0.0625 | | No log | 52.72 | 106 | 1.0576 | 0.71 | 0.1125 | 0.1625 | 0.225 | 0.1175 | 0.0625 | | No log | 53.72 | 108 | 1.0619 | 0.71 | 0.1125 | 0.1625 | 0.2275 | 0.1175 | 0.0625 | | No log | 54.72 | 110 | 1.0612 | 0.7125 | 0.1125 | 0.165 | 0.225 | 0.1175 | 0.0625 | | No log | 55.72 | 112 | 1.0588 | 0.715 | 0.1125 | 0.165 | 0.225 | 0.1175 | 0.0625 | | No log | 56.72 | 114 | 1.0536 | 0.7175 | 0.1125 | 0.165 | 0.225 | 0.1175 | 0.0625 | | No log | 57.72 | 116 | 1.0514 | 0.715 | 0.1125 | 0.165 | 0.225 | 0.12 | 0.0625 | | No log | 58.72 | 118 | 1.0505 | 0.7125 | 0.1125 | 0.165 | 0.225 | 0.12 | 0.0625 | | No log | 59.72 | 120 | 1.0504 | 0.7125 | 0.1125 | 0.165 | 0.225 | 0.12 | 0.0625 | ### Framework versions - Transformers 4.26.1 - Pytorch 1.13.1.post200 - Datasets 2.9.0 - Tokenizers 0.13.2