--- base_model: aubmindlab/bert-base-arabertv02 tags: - generated_from_trainer model-index: - name: arabert_cross_vocabulary_task1_fold1 results: [] --- # arabert_cross_vocabulary_task1_fold1 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8237 - Qwk: 0.0005 - Mse: 0.8231 ## 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: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| | No log | 0.125 | 2 | 6.3728 | -0.0031 | 6.3683 | | No log | 0.25 | 4 | 2.4100 | -0.0135 | 2.4074 | | No log | 0.375 | 6 | 0.8300 | 0.0029 | 0.8281 | | No log | 0.5 | 8 | 0.5694 | 0.0422 | 0.5684 | | No log | 0.625 | 10 | 0.5771 | 0.0819 | 0.5758 | | No log | 0.75 | 12 | 0.5787 | 0.0393 | 0.5780 | | No log | 0.875 | 14 | 0.5560 | 0.0075 | 0.5555 | | No log | 1.0 | 16 | 0.5627 | -0.0083 | 0.5623 | | No log | 1.125 | 18 | 0.6677 | 0.0 | 0.6674 | | No log | 1.25 | 20 | 0.7346 | 0.0 | 0.7343 | | No log | 1.375 | 22 | 0.6544 | 0.0 | 0.6540 | | No log | 1.5 | 24 | 0.7414 | 0.0 | 0.7411 | | No log | 1.625 | 26 | 0.7091 | 0.0 | 0.7088 | | No log | 1.75 | 28 | 0.5841 | 0.0 | 0.5836 | | No log | 1.875 | 30 | 0.5323 | 0.0422 | 0.5314 | | No log | 2.0 | 32 | 0.5359 | 0.0488 | 0.5349 | | No log | 2.125 | 34 | 0.5392 | 0.0 | 0.5385 | | No log | 2.25 | 36 | 0.6346 | 0.0 | 0.6342 | | No log | 2.375 | 38 | 0.7730 | 0.0 | 0.7727 | | No log | 2.5 | 40 | 0.7599 | 0.0 | 0.7595 | | No log | 2.625 | 42 | 0.6719 | 0.0 | 0.6714 | | No log | 2.75 | 44 | 0.7595 | 0.0 | 0.7591 | | No log | 2.875 | 46 | 0.8678 | 0.0202 | 0.8675 | | No log | 3.0 | 48 | 0.8677 | 0.0151 | 0.8674 | | No log | 3.125 | 50 | 0.9100 | 0.0193 | 0.9096 | | No log | 3.25 | 52 | 1.2346 | 0.0466 | 1.2345 | | No log | 3.375 | 54 | 1.3974 | 0.1074 | 1.3974 | | No log | 3.5 | 56 | 1.1473 | 0.0657 | 1.1472 | | No log | 3.625 | 58 | 0.7783 | -0.0050 | 0.7779 | | No log | 3.75 | 60 | 0.6393 | 0.0 | 0.6387 | | No log | 3.875 | 62 | 0.6653 | 0.0 | 0.6648 | | No log | 4.0 | 64 | 0.6339 | 0.0 | 0.6334 | | No log | 4.125 | 66 | 0.6583 | 0.0 | 0.6578 | | No log | 4.25 | 68 | 0.7357 | 0.0 | 0.7353 | | No log | 4.375 | 70 | 0.9251 | -0.0269 | 0.9248 | | No log | 4.5 | 72 | 1.0004 | 0.0702 | 1.0001 | | No log | 4.625 | 74 | 1.0757 | 0.0049 | 1.0754 | | No log | 4.75 | 76 | 1.0881 | 0.0049 | 1.0878 | | No log | 4.875 | 78 | 0.8102 | -0.0195 | 0.8097 | | No log | 5.0 | 80 | 0.6847 | 0.0 | 0.6840 | | No log | 5.125 | 82 | 0.7337 | -0.0050 | 0.7331 | | No log | 5.25 | 84 | 0.7008 | 0.0 | 0.7001 | | No log | 5.375 | 86 | 0.7016 | -0.0050 | 0.7009 | | No log | 5.5 | 88 | 0.7481 | -0.0195 | 0.7475 | | No log | 5.625 | 90 | 0.7384 | 0.0051 | 0.7377 | | No log | 5.75 | 92 | 0.7519 | 0.0003 | 0.7511 | | No log | 5.875 | 94 | 0.9434 | 0.0457 | 0.9429 | | No log | 6.0 | 96 | 1.1388 | 0.1084 | 1.1387 | | No log | 6.125 | 98 | 1.1119 | 0.1087 | 1.1118 | | No log | 6.25 | 100 | 0.9851 | 0.0611 | 0.9849 | | No log | 6.375 | 102 | 0.8431 | 0.0327 | 0.8426 | | No log | 6.5 | 104 | 0.7529 | -0.0242 | 0.7523 | | No log | 6.625 | 106 | 0.7658 | -0.0242 | 0.7653 | | No log | 6.75 | 108 | 0.8717 | 0.0376 | 0.8713 | | No log | 6.875 | 110 | 0.9321 | 0.0376 | 0.9319 | | No log | 7.0 | 112 | 0.9103 | 0.0426 | 0.9101 | | No log | 7.125 | 114 | 0.8699 | 0.0193 | 0.8696 | | No log | 7.25 | 116 | 0.7446 | -0.0195 | 0.7440 | | No log | 7.375 | 118 | 0.6938 | -0.0446 | 0.6931 | | No log | 7.5 | 120 | 0.6932 | -0.0446 | 0.6926 | | No log | 7.625 | 122 | 0.7665 | -0.0242 | 0.7659 | | No log | 7.75 | 124 | 0.9012 | -0.0078 | 0.9008 | | No log | 7.875 | 126 | 0.9982 | 0.0480 | 0.9978 | | No log | 8.0 | 128 | 1.0450 | 0.0602 | 1.0446 | | No log | 8.125 | 130 | 1.0164 | 0.0643 | 1.0160 | | No log | 8.25 | 132 | 0.9926 | 0.0728 | 0.9921 | | No log | 8.375 | 134 | 0.9480 | 0.0328 | 0.9475 | | No log | 8.5 | 136 | 0.9640 | 0.0245 | 0.9635 | | No log | 8.625 | 138 | 0.9946 | 0.0501 | 0.9942 | | No log | 8.75 | 140 | 0.9731 | 0.0245 | 0.9727 | | No log | 8.875 | 142 | 0.9147 | 0.0213 | 0.9142 | | No log | 9.0 | 144 | 0.8829 | 0.0177 | 0.8824 | | No log | 9.125 | 146 | 0.8432 | 0.0231 | 0.8426 | | No log | 9.25 | 148 | 0.8012 | 0.0050 | 0.8006 | | No log | 9.375 | 150 | 0.7936 | -0.0182 | 0.7929 | | No log | 9.5 | 152 | 0.7870 | -0.0182 | 0.7863 | | No log | 9.625 | 154 | 0.8001 | 0.0050 | 0.7994 | | No log | 9.75 | 156 | 0.8093 | 0.0050 | 0.8086 | | No log | 9.875 | 158 | 0.8204 | 0.0005 | 0.8198 | | No log | 10.0 | 160 | 0.8237 | 0.0005 | 0.8231 | ### Framework versions - Transformers 4.44.0 - Pytorch 2.4.0 - Datasets 2.21.0 - Tokenizers 0.19.1