ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k13_task2_organization
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5551
- Qwk: 0.4212
- Mse: 0.5551
- Rmse: 0.7451
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
---|---|---|---|---|---|---|
No log | 0.0303 | 2 | 4.4808 | -0.0241 | 4.4808 | 2.1168 |
No log | 0.0606 | 4 | 2.5361 | 0.0292 | 2.5361 | 1.5925 |
No log | 0.0909 | 6 | 1.3618 | 0.0251 | 1.3618 | 1.1670 |
No log | 0.1212 | 8 | 1.4844 | -0.0190 | 1.4844 | 1.2184 |
No log | 0.1515 | 10 | 1.6436 | 0.0005 | 1.6436 | 1.2820 |
No log | 0.1818 | 12 | 1.8597 | 0.0599 | 1.8597 | 1.3637 |
No log | 0.2121 | 14 | 1.0017 | 0.1537 | 1.0017 | 1.0008 |
No log | 0.2424 | 16 | 0.7737 | 0.1747 | 0.7737 | 0.8796 |
No log | 0.2727 | 18 | 0.7482 | 0.2470 | 0.7482 | 0.8650 |
No log | 0.3030 | 20 | 0.7895 | 0.2655 | 0.7895 | 0.8886 |
No log | 0.3333 | 22 | 0.7725 | 0.3027 | 0.7725 | 0.8789 |
No log | 0.3636 | 24 | 0.6700 | 0.3747 | 0.6700 | 0.8185 |
No log | 0.3939 | 26 | 0.6799 | 0.4174 | 0.6799 | 0.8246 |
No log | 0.4242 | 28 | 0.6332 | 0.3845 | 0.6332 | 0.7957 |
No log | 0.4545 | 30 | 0.6474 | 0.4452 | 0.6474 | 0.8046 |
No log | 0.4848 | 32 | 0.7149 | 0.4510 | 0.7149 | 0.8455 |
No log | 0.5152 | 34 | 0.9503 | 0.4133 | 0.9503 | 0.9748 |
No log | 0.5455 | 36 | 1.1799 | 0.3789 | 1.1799 | 1.0862 |
No log | 0.5758 | 38 | 1.3263 | 0.3736 | 1.3263 | 1.1517 |
No log | 0.6061 | 40 | 1.1906 | 0.4102 | 1.1906 | 1.0911 |
No log | 0.6364 | 42 | 1.0628 | 0.4063 | 1.0628 | 1.0309 |
No log | 0.6667 | 44 | 0.9567 | 0.3767 | 0.9567 | 0.9781 |
No log | 0.6970 | 46 | 0.9060 | 0.4121 | 0.9060 | 0.9519 |
No log | 0.7273 | 48 | 0.9660 | 0.3717 | 0.9660 | 0.9829 |
No log | 0.7576 | 50 | 0.8919 | 0.4006 | 0.8919 | 0.9444 |
No log | 0.7879 | 52 | 0.6718 | 0.4172 | 0.6718 | 0.8196 |
No log | 0.8182 | 54 | 0.6396 | 0.4353 | 0.6396 | 0.7998 |
No log | 0.8485 | 56 | 0.6812 | 0.4688 | 0.6812 | 0.8254 |
No log | 0.8788 | 58 | 0.7271 | 0.4144 | 0.7271 | 0.8527 |
No log | 0.9091 | 60 | 1.0504 | 0.3751 | 1.0504 | 1.0249 |
No log | 0.9394 | 62 | 0.9591 | 0.4176 | 0.9591 | 0.9793 |
No log | 0.9697 | 64 | 0.9006 | 0.4011 | 0.9006 | 0.9490 |
No log | 1.0 | 66 | 0.7286 | 0.3715 | 0.7286 | 0.8536 |
No log | 1.0303 | 68 | 0.6304 | 0.4564 | 0.6304 | 0.7940 |
No log | 1.0606 | 70 | 0.6965 | 0.5445 | 0.6965 | 0.8346 |
No log | 1.0909 | 72 | 0.6411 | 0.5599 | 0.6411 | 0.8007 |
No log | 1.1212 | 74 | 0.6210 | 0.5291 | 0.6210 | 0.7881 |
No log | 1.1515 | 76 | 0.7829 | 0.4322 | 0.7829 | 0.8848 |
No log | 1.1818 | 78 | 0.9439 | 0.4345 | 0.9439 | 0.9715 |
No log | 1.2121 | 80 | 0.7723 | 0.4542 | 0.7723 | 0.8788 |
No log | 1.2424 | 82 | 0.6813 | 0.4906 | 0.6813 | 0.8254 |
No log | 1.2727 | 84 | 0.6848 | 0.4979 | 0.6848 | 0.8275 |
No log | 1.3030 | 86 | 0.7594 | 0.4587 | 0.7594 | 0.8714 |
No log | 1.3333 | 88 | 0.9137 | 0.4365 | 0.9137 | 0.9559 |
No log | 1.3636 | 90 | 0.9900 | 0.4382 | 0.9900 | 0.9950 |
No log | 1.3939 | 92 | 0.8043 | 0.4900 | 0.8043 | 0.8968 |
No log | 1.4242 | 94 | 0.7222 | 0.4661 | 0.7222 | 0.8498 |
No log | 1.4545 | 96 | 0.7857 | 0.5066 | 0.7857 | 0.8864 |
No log | 1.4848 | 98 | 0.9865 | 0.4715 | 0.9865 | 0.9932 |
No log | 1.5152 | 100 | 1.1158 | 0.4844 | 1.1158 | 1.0563 |
No log | 1.5455 | 102 | 0.8297 | 0.4703 | 0.8297 | 0.9109 |
No log | 1.5758 | 104 | 0.6863 | 0.5250 | 0.6863 | 0.8284 |
No log | 1.6061 | 106 | 0.6847 | 0.5023 | 0.6847 | 0.8275 |
No log | 1.6364 | 108 | 0.7205 | 0.4312 | 0.7205 | 0.8488 |
No log | 1.6667 | 110 | 0.7952 | 0.4453 | 0.7952 | 0.8917 |
No log | 1.6970 | 112 | 0.7546 | 0.4862 | 0.7546 | 0.8687 |
No log | 1.7273 | 114 | 0.8153 | 0.4875 | 0.8153 | 0.9029 |
No log | 1.7576 | 116 | 0.7346 | 0.4767 | 0.7346 | 0.8571 |
No log | 1.7879 | 118 | 0.7633 | 0.5047 | 0.7633 | 0.8737 |
No log | 1.8182 | 120 | 0.7097 | 0.4964 | 0.7097 | 0.8424 |
No log | 1.8485 | 122 | 0.7607 | 0.5132 | 0.7607 | 0.8722 |
No log | 1.8788 | 124 | 1.1309 | 0.3855 | 1.1309 | 1.0634 |
No log | 1.9091 | 126 | 1.0725 | 0.4128 | 1.0725 | 1.0356 |
No log | 1.9394 | 128 | 0.7209 | 0.4566 | 0.7209 | 0.8490 |
No log | 1.9697 | 130 | 0.6958 | 0.4584 | 0.6958 | 0.8342 |
No log | 2.0 | 132 | 0.8342 | 0.3164 | 0.8342 | 0.9133 |
No log | 2.0303 | 134 | 0.7690 | 0.4088 | 0.7690 | 0.8770 |
No log | 2.0606 | 136 | 0.6161 | 0.3859 | 0.6161 | 0.7849 |
No log | 2.0909 | 138 | 0.7461 | 0.4110 | 0.7461 | 0.8638 |
No log | 2.1212 | 140 | 0.7965 | 0.4481 | 0.7965 | 0.8925 |
No log | 2.1515 | 142 | 0.6596 | 0.4374 | 0.6596 | 0.8122 |
No log | 2.1818 | 144 | 0.6677 | 0.4601 | 0.6677 | 0.8171 |
No log | 2.2121 | 146 | 0.6872 | 0.4878 | 0.6872 | 0.8290 |
No log | 2.2424 | 148 | 0.6989 | 0.4789 | 0.6989 | 0.8360 |
No log | 2.2727 | 150 | 0.7044 | 0.5152 | 0.7044 | 0.8393 |
No log | 2.3030 | 152 | 0.7044 | 0.5177 | 0.7044 | 0.8393 |
No log | 2.3333 | 154 | 0.7024 | 0.5190 | 0.7024 | 0.8381 |
No log | 2.3636 | 156 | 0.6694 | 0.4866 | 0.6694 | 0.8182 |
No log | 2.3939 | 158 | 0.6563 | 0.4483 | 0.6563 | 0.8101 |
No log | 2.4242 | 160 | 0.6480 | 0.4429 | 0.6480 | 0.8050 |
No log | 2.4545 | 162 | 0.6698 | 0.4511 | 0.6698 | 0.8184 |
No log | 2.4848 | 164 | 1.0419 | 0.4183 | 1.0419 | 1.0207 |
No log | 2.5152 | 166 | 1.3435 | 0.2958 | 1.3435 | 1.1591 |
No log | 2.5455 | 168 | 1.1364 | 0.3778 | 1.1364 | 1.0660 |
No log | 2.5758 | 170 | 0.7768 | 0.4366 | 0.7768 | 0.8813 |
No log | 2.6061 | 172 | 0.6677 | 0.4968 | 0.6677 | 0.8171 |
No log | 2.6364 | 174 | 0.6627 | 0.5041 | 0.6627 | 0.8141 |
No log | 2.6667 | 176 | 0.6814 | 0.5120 | 0.6814 | 0.8254 |
No log | 2.6970 | 178 | 0.8206 | 0.4677 | 0.8206 | 0.9058 |
No log | 2.7273 | 180 | 1.1941 | 0.3877 | 1.1941 | 1.0928 |
No log | 2.7576 | 182 | 1.2552 | 0.3325 | 1.2552 | 1.1204 |
No log | 2.7879 | 184 | 0.9366 | 0.4667 | 0.9366 | 0.9678 |
No log | 2.8182 | 186 | 0.7207 | 0.5060 | 0.7207 | 0.8490 |
No log | 2.8485 | 188 | 0.6493 | 0.4484 | 0.6493 | 0.8058 |
No log | 2.8788 | 190 | 0.6411 | 0.4381 | 0.6411 | 0.8007 |
No log | 2.9091 | 192 | 0.6513 | 0.4219 | 0.6513 | 0.8070 |
No log | 2.9394 | 194 | 0.6972 | 0.5010 | 0.6972 | 0.8350 |
No log | 2.9697 | 196 | 0.7030 | 0.5060 | 0.7030 | 0.8385 |
No log | 3.0 | 198 | 0.6519 | 0.4777 | 0.6519 | 0.8074 |
No log | 3.0303 | 200 | 0.6801 | 0.4890 | 0.6801 | 0.8247 |
No log | 3.0606 | 202 | 0.7258 | 0.4850 | 0.7258 | 0.8520 |
No log | 3.0909 | 204 | 0.7016 | 0.4962 | 0.7016 | 0.8376 |
No log | 3.1212 | 206 | 0.7521 | 0.4658 | 0.7521 | 0.8672 |
No log | 3.1515 | 208 | 0.7809 | 0.4506 | 0.7809 | 0.8837 |
No log | 3.1818 | 210 | 0.8575 | 0.4638 | 0.8575 | 0.9260 |
No log | 3.2121 | 212 | 0.8918 | 0.4352 | 0.8918 | 0.9443 |
No log | 3.2424 | 214 | 0.7952 | 0.4743 | 0.7952 | 0.8917 |
No log | 3.2727 | 216 | 0.7254 | 0.4500 | 0.7254 | 0.8517 |
No log | 3.3030 | 218 | 0.6812 | 0.3975 | 0.6812 | 0.8254 |
No log | 3.3333 | 220 | 0.6532 | 0.3823 | 0.6532 | 0.8082 |
No log | 3.3636 | 222 | 0.6358 | 0.4220 | 0.6358 | 0.7973 |
No log | 3.3939 | 224 | 0.6385 | 0.3984 | 0.6385 | 0.7991 |
No log | 3.4242 | 226 | 0.6443 | 0.4320 | 0.6443 | 0.8027 |
No log | 3.4545 | 228 | 0.6678 | 0.4728 | 0.6678 | 0.8172 |
No log | 3.4848 | 230 | 0.6437 | 0.4869 | 0.6437 | 0.8023 |
No log | 3.5152 | 232 | 0.6448 | 0.4815 | 0.6448 | 0.8030 |
No log | 3.5455 | 234 | 0.7799 | 0.5298 | 0.7799 | 0.8831 |
No log | 3.5758 | 236 | 0.9535 | 0.4777 | 0.9535 | 0.9765 |
No log | 3.6061 | 238 | 0.8486 | 0.5055 | 0.8486 | 0.9212 |
No log | 3.6364 | 240 | 0.6148 | 0.4733 | 0.6148 | 0.7841 |
No log | 3.6667 | 242 | 0.6091 | 0.4652 | 0.6091 | 0.7805 |
No log | 3.6970 | 244 | 0.6281 | 0.4744 | 0.6281 | 0.7925 |
No log | 3.7273 | 246 | 0.5800 | 0.4373 | 0.5800 | 0.7615 |
No log | 3.7576 | 248 | 0.6383 | 0.4943 | 0.6383 | 0.7989 |
No log | 3.7879 | 250 | 0.7672 | 0.5089 | 0.7672 | 0.8759 |
No log | 3.8182 | 252 | 0.7014 | 0.4921 | 0.7014 | 0.8375 |
No log | 3.8485 | 254 | 0.6049 | 0.4999 | 0.6049 | 0.7777 |
No log | 3.8788 | 256 | 0.7274 | 0.5466 | 0.7274 | 0.8529 |
No log | 3.9091 | 258 | 0.7667 | 0.5246 | 0.7667 | 0.8756 |
No log | 3.9394 | 260 | 0.6503 | 0.5595 | 0.6503 | 0.8064 |
No log | 3.9697 | 262 | 0.6855 | 0.5239 | 0.6855 | 0.8279 |
No log | 4.0 | 264 | 1.1865 | 0.3740 | 1.1865 | 1.0893 |
No log | 4.0303 | 266 | 1.5937 | 0.2066 | 1.5937 | 1.2624 |
No log | 4.0606 | 268 | 1.5409 | 0.2439 | 1.5409 | 1.2413 |
No log | 4.0909 | 270 | 1.1530 | 0.3918 | 1.1530 | 1.0738 |
No log | 4.1212 | 272 | 0.7346 | 0.5468 | 0.7346 | 0.8571 |
No log | 4.1515 | 274 | 0.5872 | 0.4874 | 0.5872 | 0.7663 |
No log | 4.1818 | 276 | 0.5824 | 0.5482 | 0.5824 | 0.7632 |
No log | 4.2121 | 278 | 0.5960 | 0.5504 | 0.5960 | 0.7720 |
No log | 4.2424 | 280 | 0.6075 | 0.5420 | 0.6075 | 0.7794 |
No log | 4.2727 | 282 | 0.6644 | 0.4601 | 0.6644 | 0.8151 |
No log | 4.3030 | 284 | 0.7824 | 0.4854 | 0.7824 | 0.8846 |
No log | 4.3333 | 286 | 0.7903 | 0.4707 | 0.7903 | 0.8890 |
No log | 4.3636 | 288 | 0.6925 | 0.4436 | 0.6925 | 0.8322 |
No log | 4.3939 | 290 | 0.6296 | 0.4759 | 0.6296 | 0.7935 |
No log | 4.4242 | 292 | 0.5991 | 0.4770 | 0.5991 | 0.7740 |
No log | 4.4545 | 294 | 0.5891 | 0.4350 | 0.5891 | 0.7675 |
No log | 4.4848 | 296 | 0.6042 | 0.4274 | 0.6042 | 0.7773 |
No log | 4.5152 | 298 | 0.6956 | 0.4510 | 0.6956 | 0.8340 |
No log | 4.5455 | 300 | 0.8273 | 0.4312 | 0.8273 | 0.9096 |
No log | 4.5758 | 302 | 0.7970 | 0.4565 | 0.7970 | 0.8928 |
No log | 4.6061 | 304 | 0.7430 | 0.4411 | 0.7430 | 0.8620 |
No log | 4.6364 | 306 | 0.6427 | 0.4757 | 0.6427 | 0.8017 |
No log | 4.6667 | 308 | 0.6557 | 0.4955 | 0.6557 | 0.8098 |
No log | 4.6970 | 310 | 0.6590 | 0.4908 | 0.6590 | 0.8118 |
No log | 4.7273 | 312 | 0.6586 | 0.4804 | 0.6586 | 0.8116 |
No log | 4.7576 | 314 | 0.7156 | 0.4420 | 0.7156 | 0.8459 |
No log | 4.7879 | 316 | 0.7504 | 0.4813 | 0.7504 | 0.8662 |
No log | 4.8182 | 318 | 0.6743 | 0.4343 | 0.6743 | 0.8211 |
No log | 4.8485 | 320 | 0.6258 | 0.4381 | 0.6258 | 0.7911 |
No log | 4.8788 | 322 | 0.6246 | 0.4196 | 0.6246 | 0.7903 |
No log | 4.9091 | 324 | 0.6527 | 0.4258 | 0.6527 | 0.8079 |
No log | 4.9394 | 326 | 0.7451 | 0.4482 | 0.7451 | 0.8632 |
No log | 4.9697 | 328 | 0.7615 | 0.4467 | 0.7615 | 0.8726 |
No log | 5.0 | 330 | 0.6440 | 0.3989 | 0.6440 | 0.8025 |
No log | 5.0303 | 332 | 0.5931 | 0.4569 | 0.5931 | 0.7702 |
No log | 5.0606 | 334 | 0.5793 | 0.4465 | 0.5793 | 0.7611 |
No log | 5.0909 | 336 | 0.5706 | 0.4540 | 0.5706 | 0.7554 |
No log | 5.1212 | 338 | 0.5692 | 0.4185 | 0.5692 | 0.7545 |
No log | 5.1515 | 340 | 0.5719 | 0.4642 | 0.5719 | 0.7563 |
No log | 5.1818 | 342 | 0.6133 | 0.4855 | 0.6133 | 0.7831 |
No log | 5.2121 | 344 | 0.6375 | 0.4559 | 0.6375 | 0.7984 |
No log | 5.2424 | 346 | 0.5787 | 0.4512 | 0.5787 | 0.7607 |
No log | 5.2727 | 348 | 0.5841 | 0.4536 | 0.5841 | 0.7643 |
No log | 5.3030 | 350 | 0.6138 | 0.4875 | 0.6138 | 0.7834 |
No log | 5.3333 | 352 | 0.6032 | 0.5041 | 0.6032 | 0.7767 |
No log | 5.3636 | 354 | 0.5917 | 0.4863 | 0.5917 | 0.7693 |
No log | 5.3939 | 356 | 0.5821 | 0.4920 | 0.5821 | 0.7630 |
No log | 5.4242 | 358 | 0.5692 | 0.5133 | 0.5692 | 0.7544 |
No log | 5.4545 | 360 | 0.5492 | 0.4166 | 0.5492 | 0.7411 |
No log | 5.4848 | 362 | 0.5609 | 0.4020 | 0.5609 | 0.7489 |
No log | 5.5152 | 364 | 0.5727 | 0.4568 | 0.5727 | 0.7567 |
No log | 5.5455 | 366 | 0.6458 | 0.5145 | 0.6458 | 0.8036 |
No log | 5.5758 | 368 | 0.7154 | 0.5334 | 0.7154 | 0.8458 |
No log | 5.6061 | 370 | 0.6886 | 0.5423 | 0.6886 | 0.8298 |
No log | 5.6364 | 372 | 0.6272 | 0.5433 | 0.6272 | 0.7919 |
No log | 5.6667 | 374 | 0.5995 | 0.4928 | 0.5995 | 0.7743 |
No log | 5.6970 | 376 | 0.6158 | 0.4887 | 0.6158 | 0.7847 |
No log | 5.7273 | 378 | 0.7061 | 0.5322 | 0.7061 | 0.8403 |
No log | 5.7576 | 380 | 0.6838 | 0.5182 | 0.6838 | 0.8269 |
No log | 5.7879 | 382 | 0.5873 | 0.4948 | 0.5873 | 0.7664 |
No log | 5.8182 | 384 | 0.5674 | 0.5096 | 0.5674 | 0.7533 |
No log | 5.8485 | 386 | 0.5745 | 0.5096 | 0.5745 | 0.7579 |
No log | 5.8788 | 388 | 0.5728 | 0.5057 | 0.5728 | 0.7568 |
No log | 5.9091 | 390 | 0.6111 | 0.5355 | 0.6111 | 0.7817 |
No log | 5.9394 | 392 | 0.7185 | 0.4618 | 0.7185 | 0.8477 |
No log | 5.9697 | 394 | 0.7271 | 0.4745 | 0.7271 | 0.8527 |
No log | 6.0 | 396 | 0.6373 | 0.4898 | 0.6373 | 0.7983 |
No log | 6.0303 | 398 | 0.5958 | 0.4938 | 0.5958 | 0.7719 |
No log | 6.0606 | 400 | 0.5834 | 0.4559 | 0.5834 | 0.7638 |
No log | 6.0909 | 402 | 0.5930 | 0.3894 | 0.5930 | 0.7700 |
No log | 6.1212 | 404 | 0.6477 | 0.4769 | 0.6477 | 0.8048 |
No log | 6.1515 | 406 | 0.6430 | 0.4646 | 0.6430 | 0.8019 |
No log | 6.1818 | 408 | 0.5802 | 0.4307 | 0.5802 | 0.7617 |
No log | 6.2121 | 410 | 0.5687 | 0.4719 | 0.5687 | 0.7541 |
No log | 6.2424 | 412 | 0.5708 | 0.4666 | 0.5708 | 0.7555 |
No log | 6.2727 | 414 | 0.5852 | 0.4526 | 0.5852 | 0.7650 |
No log | 6.3030 | 416 | 0.6753 | 0.4927 | 0.6753 | 0.8218 |
No log | 6.3333 | 418 | 0.6999 | 0.4941 | 0.6999 | 0.8366 |
No log | 6.3636 | 420 | 0.6612 | 0.4771 | 0.6612 | 0.8131 |
No log | 6.3939 | 422 | 0.5875 | 0.4751 | 0.5875 | 0.7665 |
No log | 6.4242 | 424 | 0.5558 | 0.4321 | 0.5558 | 0.7455 |
No log | 6.4545 | 426 | 0.5510 | 0.4398 | 0.5510 | 0.7423 |
No log | 6.4848 | 428 | 0.5511 | 0.3973 | 0.5511 | 0.7424 |
No log | 6.5152 | 430 | 0.5865 | 0.4553 | 0.5865 | 0.7658 |
No log | 6.5455 | 432 | 0.6510 | 0.5078 | 0.6510 | 0.8069 |
No log | 6.5758 | 434 | 0.6614 | 0.4764 | 0.6614 | 0.8133 |
No log | 6.6061 | 436 | 0.5964 | 0.4336 | 0.5964 | 0.7722 |
No log | 6.6364 | 438 | 0.5731 | 0.4265 | 0.5731 | 0.7570 |
No log | 6.6667 | 440 | 0.6180 | 0.5053 | 0.6180 | 0.7861 |
No log | 6.6970 | 442 | 0.6422 | 0.5589 | 0.6422 | 0.8014 |
No log | 6.7273 | 444 | 0.6178 | 0.4827 | 0.6178 | 0.7860 |
No log | 6.7576 | 446 | 0.6027 | 0.5048 | 0.6027 | 0.7763 |
No log | 6.7879 | 448 | 0.6377 | 0.5156 | 0.6377 | 0.7986 |
No log | 6.8182 | 450 | 0.6358 | 0.5339 | 0.6358 | 0.7974 |
No log | 6.8485 | 452 | 0.6185 | 0.5195 | 0.6185 | 0.7865 |
No log | 6.8788 | 454 | 0.6161 | 0.5155 | 0.6161 | 0.7849 |
No log | 6.9091 | 456 | 0.6091 | 0.4766 | 0.6091 | 0.7804 |
No log | 6.9394 | 458 | 0.6441 | 0.4935 | 0.6441 | 0.8026 |
No log | 6.9697 | 460 | 0.6545 | 0.5023 | 0.6545 | 0.8090 |
No log | 7.0 | 462 | 0.5925 | 0.4463 | 0.5925 | 0.7698 |
No log | 7.0303 | 464 | 0.5732 | 0.3587 | 0.5732 | 0.7571 |
No log | 7.0606 | 466 | 0.6089 | 0.4925 | 0.6089 | 0.7803 |
No log | 7.0909 | 468 | 0.6028 | 0.4876 | 0.6028 | 0.7764 |
No log | 7.1212 | 470 | 0.5900 | 0.4278 | 0.5900 | 0.7681 |
No log | 7.1515 | 472 | 0.5834 | 0.4460 | 0.5834 | 0.7638 |
No log | 7.1818 | 474 | 0.5763 | 0.3968 | 0.5763 | 0.7591 |
No log | 7.2121 | 476 | 0.5728 | 0.4291 | 0.5728 | 0.7568 |
No log | 7.2424 | 478 | 0.5845 | 0.5137 | 0.5845 | 0.7645 |
No log | 7.2727 | 480 | 0.5687 | 0.5270 | 0.5687 | 0.7542 |
No log | 7.3030 | 482 | 0.5721 | 0.5105 | 0.5721 | 0.7563 |
No log | 7.3333 | 484 | 0.5821 | 0.5016 | 0.5821 | 0.7629 |
No log | 7.3636 | 486 | 0.5978 | 0.5205 | 0.5978 | 0.7732 |
No log | 7.3939 | 488 | 0.6513 | 0.4976 | 0.6513 | 0.8070 |
No log | 7.4242 | 490 | 0.6193 | 0.4842 | 0.6193 | 0.7869 |
No log | 7.4545 | 492 | 0.5926 | 0.4975 | 0.5926 | 0.7698 |
No log | 7.4848 | 494 | 0.5685 | 0.5184 | 0.5685 | 0.7540 |
No log | 7.5152 | 496 | 0.5642 | 0.4591 | 0.5642 | 0.7511 |
No log | 7.5455 | 498 | 0.5645 | 0.4809 | 0.5645 | 0.7514 |
0.365 | 7.5758 | 500 | 0.5696 | 0.4809 | 0.5696 | 0.7547 |
0.365 | 7.6061 | 502 | 0.5845 | 0.5265 | 0.5845 | 0.7645 |
0.365 | 7.6364 | 504 | 0.5997 | 0.4867 | 0.5997 | 0.7744 |
0.365 | 7.6667 | 506 | 0.5995 | 0.5138 | 0.5995 | 0.7743 |
0.365 | 7.6970 | 508 | 0.5957 | 0.5004 | 0.5957 | 0.7718 |
0.365 | 7.7273 | 510 | 0.5819 | 0.4653 | 0.5819 | 0.7628 |
0.365 | 7.7576 | 512 | 0.6377 | 0.4761 | 0.6377 | 0.7986 |
0.365 | 7.7879 | 514 | 0.6919 | 0.4495 | 0.6919 | 0.8318 |
0.365 | 7.8182 | 516 | 0.6691 | 0.4929 | 0.6691 | 0.8180 |
0.365 | 7.8485 | 518 | 0.6075 | 0.4847 | 0.6075 | 0.7794 |
0.365 | 7.8788 | 520 | 0.5949 | 0.4640 | 0.5949 | 0.7713 |
0.365 | 7.9091 | 522 | 0.6123 | 0.4954 | 0.6123 | 0.7825 |
0.365 | 7.9394 | 524 | 0.6110 | 0.5043 | 0.6110 | 0.7817 |
0.365 | 7.9697 | 526 | 0.5803 | 0.4579 | 0.5803 | 0.7617 |
0.365 | 8.0 | 528 | 0.5692 | 0.4192 | 0.5692 | 0.7544 |
0.365 | 8.0303 | 530 | 0.5701 | 0.4132 | 0.5701 | 0.7551 |
0.365 | 8.0606 | 532 | 0.5876 | 0.4628 | 0.5876 | 0.7665 |
0.365 | 8.0909 | 534 | 0.5948 | 0.5031 | 0.5948 | 0.7712 |
0.365 | 8.1212 | 536 | 0.5994 | 0.4910 | 0.5994 | 0.7742 |
0.365 | 8.1515 | 538 | 0.5788 | 0.4608 | 0.5788 | 0.7608 |
0.365 | 8.1818 | 540 | 0.5690 | 0.4559 | 0.5690 | 0.7543 |
0.365 | 8.2121 | 542 | 0.5620 | 0.4356 | 0.5620 | 0.7497 |
0.365 | 8.2424 | 544 | 0.5573 | 0.4368 | 0.5573 | 0.7465 |
0.365 | 8.2727 | 546 | 0.5551 | 0.4212 | 0.5551 | 0.7451 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k13_task2_organization
Base model
aubmindlab/bert-base-arabertv02