ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_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: 0.6308
- Qwk: 0.4938
- Mse: 0.6308
- Rmse: 0.7942
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 | 0.0714 | 2 | 4.3508 | -0.0169 | 4.3508 | 2.0859 |
No log | 0.1429 | 4 | 3.0144 | 0.0376 | 3.0144 | 1.7362 |
No log | 0.2143 | 6 | 1.4275 | 0.0784 | 1.4275 | 1.1948 |
No log | 0.2857 | 8 | 1.0490 | -0.0310 | 1.0490 | 1.0242 |
No log | 0.3571 | 10 | 0.9262 | 0.0021 | 0.9262 | 0.9624 |
No log | 0.4286 | 12 | 0.8643 | 0.1008 | 0.8643 | 0.9297 |
No log | 0.5 | 14 | 0.8433 | 0.0655 | 0.8433 | 0.9183 |
No log | 0.5714 | 16 | 0.8327 | 0.0726 | 0.8327 | 0.9125 |
No log | 0.6429 | 18 | 0.8394 | 0.2124 | 0.8394 | 0.9162 |
No log | 0.7143 | 20 | 1.1790 | -0.0226 | 1.1790 | 1.0858 |
No log | 0.7857 | 22 | 1.1387 | -0.0014 | 1.1387 | 1.0671 |
No log | 0.8571 | 24 | 0.9481 | 0.0011 | 0.9481 | 0.9737 |
No log | 0.9286 | 26 | 0.8794 | 0.1898 | 0.8794 | 0.9378 |
No log | 1.0 | 28 | 0.8852 | 0.1655 | 0.8852 | 0.9408 |
No log | 1.0714 | 30 | 0.8513 | 0.2072 | 0.8513 | 0.9227 |
No log | 1.1429 | 32 | 0.8184 | 0.2714 | 0.8184 | 0.9046 |
No log | 1.2143 | 34 | 0.8513 | 0.1785 | 0.8513 | 0.9227 |
No log | 1.2857 | 36 | 0.8873 | 0.1301 | 0.8873 | 0.9420 |
No log | 1.3571 | 38 | 1.1442 | 0.1082 | 1.1442 | 1.0697 |
No log | 1.4286 | 40 | 1.2651 | 0.1354 | 1.2651 | 1.1248 |
No log | 1.5 | 42 | 0.9872 | 0.2271 | 0.9872 | 0.9936 |
No log | 1.5714 | 44 | 0.6930 | 0.3452 | 0.6930 | 0.8325 |
No log | 1.6429 | 46 | 0.6779 | 0.3662 | 0.6779 | 0.8233 |
No log | 1.7143 | 48 | 0.6465 | 0.3865 | 0.6465 | 0.8040 |
No log | 1.7857 | 50 | 0.6194 | 0.3855 | 0.6194 | 0.7870 |
No log | 1.8571 | 52 | 0.7186 | 0.3840 | 0.7186 | 0.8477 |
No log | 1.9286 | 54 | 0.6603 | 0.3631 | 0.6603 | 0.8126 |
No log | 2.0 | 56 | 0.5901 | 0.4074 | 0.5901 | 0.7682 |
No log | 2.0714 | 58 | 0.6159 | 0.4431 | 0.6159 | 0.7848 |
No log | 2.1429 | 60 | 0.5979 | 0.4235 | 0.5979 | 0.7733 |
No log | 2.2143 | 62 | 0.5915 | 0.4601 | 0.5915 | 0.7691 |
No log | 2.2857 | 64 | 0.6742 | 0.4274 | 0.6742 | 0.8211 |
No log | 2.3571 | 66 | 0.7193 | 0.4455 | 0.7193 | 0.8481 |
No log | 2.4286 | 68 | 0.5928 | 0.4649 | 0.5928 | 0.7699 |
No log | 2.5 | 70 | 0.7138 | 0.3915 | 0.7138 | 0.8449 |
No log | 2.5714 | 72 | 0.6915 | 0.3850 | 0.6915 | 0.8316 |
No log | 2.6429 | 74 | 0.6146 | 0.3818 | 0.6146 | 0.7840 |
No log | 2.7143 | 76 | 0.7550 | 0.3769 | 0.7550 | 0.8689 |
No log | 2.7857 | 78 | 0.8667 | 0.3638 | 0.8667 | 0.9309 |
No log | 2.8571 | 80 | 0.7763 | 0.3681 | 0.7763 | 0.8811 |
No log | 2.9286 | 82 | 0.6221 | 0.4650 | 0.6221 | 0.7888 |
No log | 3.0 | 84 | 0.6019 | 0.5422 | 0.6019 | 0.7758 |
No log | 3.0714 | 86 | 0.6058 | 0.5105 | 0.6058 | 0.7784 |
No log | 3.1429 | 88 | 0.6264 | 0.4979 | 0.6264 | 0.7915 |
No log | 3.2143 | 90 | 0.6674 | 0.4806 | 0.6674 | 0.8170 |
No log | 3.2857 | 92 | 0.8318 | 0.4604 | 0.8318 | 0.9120 |
No log | 3.3571 | 94 | 0.6986 | 0.5025 | 0.6986 | 0.8358 |
No log | 3.4286 | 96 | 0.6057 | 0.5593 | 0.6057 | 0.7783 |
No log | 3.5 | 98 | 0.6590 | 0.4898 | 0.6590 | 0.8118 |
No log | 3.5714 | 100 | 0.6523 | 0.4353 | 0.6523 | 0.8077 |
No log | 3.6429 | 102 | 0.6477 | 0.4390 | 0.6477 | 0.8048 |
No log | 3.7143 | 104 | 0.5979 | 0.5079 | 0.5979 | 0.7733 |
No log | 3.7857 | 106 | 0.6442 | 0.4341 | 0.6442 | 0.8026 |
No log | 3.8571 | 108 | 0.7339 | 0.4488 | 0.7339 | 0.8567 |
No log | 3.9286 | 110 | 0.9763 | 0.3684 | 0.9763 | 0.9881 |
No log | 4.0 | 112 | 0.7572 | 0.4543 | 0.7572 | 0.8702 |
No log | 4.0714 | 114 | 0.6089 | 0.5216 | 0.6089 | 0.7803 |
No log | 4.1429 | 116 | 0.6109 | 0.5276 | 0.6109 | 0.7816 |
No log | 4.2143 | 118 | 0.6321 | 0.5513 | 0.6321 | 0.7951 |
No log | 4.2857 | 120 | 0.6610 | 0.5208 | 0.6610 | 0.8130 |
No log | 4.3571 | 122 | 0.6937 | 0.5151 | 0.6937 | 0.8329 |
No log | 4.4286 | 124 | 0.7016 | 0.5135 | 0.7016 | 0.8376 |
No log | 4.5 | 126 | 0.7004 | 0.5186 | 0.7004 | 0.8369 |
No log | 4.5714 | 128 | 0.6984 | 0.5231 | 0.6984 | 0.8357 |
No log | 4.6429 | 130 | 0.8647 | 0.3797 | 0.8647 | 0.9299 |
No log | 4.7143 | 132 | 0.7477 | 0.4798 | 0.7477 | 0.8647 |
No log | 4.7857 | 134 | 0.6257 | 0.4930 | 0.6257 | 0.7910 |
No log | 4.8571 | 136 | 0.6951 | 0.4687 | 0.6951 | 0.8337 |
No log | 4.9286 | 138 | 0.6505 | 0.5199 | 0.6505 | 0.8065 |
No log | 5.0 | 140 | 0.6424 | 0.5075 | 0.6424 | 0.8015 |
No log | 5.0714 | 142 | 0.6550 | 0.4886 | 0.6550 | 0.8093 |
No log | 5.1429 | 144 | 0.6461 | 0.4891 | 0.6461 | 0.8038 |
No log | 5.2143 | 146 | 0.6384 | 0.5909 | 0.6384 | 0.7990 |
No log | 5.2857 | 148 | 0.6332 | 0.5219 | 0.6332 | 0.7957 |
No log | 5.3571 | 150 | 0.6291 | 0.5727 | 0.6291 | 0.7932 |
No log | 5.4286 | 152 | 0.6333 | 0.5642 | 0.6333 | 0.7958 |
No log | 5.5 | 154 | 0.6063 | 0.4837 | 0.6063 | 0.7787 |
No log | 5.5714 | 156 | 0.6456 | 0.4610 | 0.6456 | 0.8035 |
No log | 5.6429 | 158 | 0.6533 | 0.3762 | 0.6533 | 0.8083 |
No log | 5.7143 | 160 | 0.6067 | 0.4434 | 0.6067 | 0.7789 |
No log | 5.7857 | 162 | 0.5930 | 0.5276 | 0.5930 | 0.7701 |
No log | 5.8571 | 164 | 0.6147 | 0.5880 | 0.6147 | 0.7840 |
No log | 5.9286 | 166 | 0.6456 | 0.5531 | 0.6456 | 0.8035 |
No log | 6.0 | 168 | 0.6587 | 0.5645 | 0.6587 | 0.8116 |
No log | 6.0714 | 170 | 0.6764 | 0.5430 | 0.6764 | 0.8224 |
No log | 6.1429 | 172 | 0.6546 | 0.5574 | 0.6546 | 0.8090 |
No log | 6.2143 | 174 | 0.6438 | 0.5651 | 0.6438 | 0.8024 |
No log | 6.2857 | 176 | 0.6261 | 0.5790 | 0.6261 | 0.7912 |
No log | 6.3571 | 178 | 0.6107 | 0.4930 | 0.6107 | 0.7814 |
No log | 6.4286 | 180 | 0.6009 | 0.4465 | 0.6009 | 0.7752 |
No log | 6.5 | 182 | 0.5889 | 0.4888 | 0.5889 | 0.7674 |
No log | 6.5714 | 184 | 0.5775 | 0.5835 | 0.5775 | 0.7599 |
No log | 6.6429 | 186 | 0.5831 | 0.5902 | 0.5831 | 0.7636 |
No log | 6.7143 | 188 | 0.6257 | 0.5839 | 0.6257 | 0.7910 |
No log | 6.7857 | 190 | 0.6420 | 0.5823 | 0.6420 | 0.8013 |
No log | 6.8571 | 192 | 0.7948 | 0.4467 | 0.7948 | 0.8915 |
No log | 6.9286 | 194 | 0.8845 | 0.4052 | 0.8845 | 0.9405 |
No log | 7.0 | 196 | 0.8641 | 0.3904 | 0.8641 | 0.9296 |
No log | 7.0714 | 198 | 0.9385 | 0.3617 | 0.9385 | 0.9688 |
No log | 7.1429 | 200 | 0.9563 | 0.3666 | 0.9563 | 0.9779 |
No log | 7.2143 | 202 | 0.7677 | 0.4415 | 0.7677 | 0.8762 |
No log | 7.2857 | 204 | 0.7215 | 0.4667 | 0.7215 | 0.8494 |
No log | 7.3571 | 206 | 0.7753 | 0.4887 | 0.7753 | 0.8805 |
No log | 7.4286 | 208 | 0.7221 | 0.4623 | 0.7221 | 0.8498 |
No log | 7.5 | 210 | 0.7492 | 0.4771 | 0.7492 | 0.8655 |
No log | 7.5714 | 212 | 0.7824 | 0.4012 | 0.7824 | 0.8846 |
No log | 7.6429 | 214 | 0.7691 | 0.4225 | 0.7691 | 0.8770 |
No log | 7.7143 | 216 | 0.6476 | 0.5386 | 0.6476 | 0.8047 |
No log | 7.7857 | 218 | 0.6304 | 0.6055 | 0.6304 | 0.7940 |
No log | 7.8571 | 220 | 0.6317 | 0.5730 | 0.6317 | 0.7948 |
No log | 7.9286 | 222 | 0.6221 | 0.5790 | 0.6221 | 0.7887 |
No log | 8.0 | 224 | 0.6152 | 0.6010 | 0.6152 | 0.7843 |
No log | 8.0714 | 226 | 0.6132 | 0.5924 | 0.6132 | 0.7830 |
No log | 8.1429 | 228 | 0.6403 | 0.5042 | 0.6403 | 0.8002 |
No log | 8.2143 | 230 | 0.6364 | 0.5507 | 0.6364 | 0.7978 |
No log | 8.2857 | 232 | 0.6480 | 0.6006 | 0.6480 | 0.8050 |
No log | 8.3571 | 234 | 0.7961 | 0.4113 | 0.7961 | 0.8922 |
No log | 8.4286 | 236 | 0.7349 | 0.4233 | 0.7349 | 0.8573 |
No log | 8.5 | 238 | 0.6041 | 0.6086 | 0.6041 | 0.7772 |
No log | 8.5714 | 240 | 0.6599 | 0.4503 | 0.6599 | 0.8123 |
No log | 8.6429 | 242 | 0.6617 | 0.4717 | 0.6617 | 0.8134 |
No log | 8.7143 | 244 | 0.6068 | 0.5823 | 0.6068 | 0.7790 |
No log | 8.7857 | 246 | 0.6084 | 0.6274 | 0.6084 | 0.7800 |
No log | 8.8571 | 248 | 0.6081 | 0.5922 | 0.6081 | 0.7798 |
No log | 8.9286 | 250 | 0.6185 | 0.5979 | 0.6185 | 0.7864 |
No log | 9.0 | 252 | 0.6531 | 0.5433 | 0.6531 | 0.8081 |
No log | 9.0714 | 254 | 0.6306 | 0.5779 | 0.6306 | 0.7941 |
No log | 9.1429 | 256 | 0.5789 | 0.6184 | 0.5789 | 0.7609 |
No log | 9.2143 | 258 | 0.5612 | 0.5468 | 0.5612 | 0.7491 |
No log | 9.2857 | 260 | 0.5579 | 0.5648 | 0.5579 | 0.7469 |
No log | 9.3571 | 262 | 0.5892 | 0.5786 | 0.5892 | 0.7676 |
No log | 9.4286 | 264 | 0.6987 | 0.4994 | 0.6987 | 0.8359 |
No log | 9.5 | 266 | 0.6823 | 0.5377 | 0.6823 | 0.8260 |
No log | 9.5714 | 268 | 0.6092 | 0.6101 | 0.6092 | 0.7805 |
No log | 9.6429 | 270 | 0.5996 | 0.6066 | 0.5996 | 0.7743 |
No log | 9.7143 | 272 | 0.5741 | 0.6065 | 0.5741 | 0.7577 |
No log | 9.7857 | 274 | 0.5708 | 0.5841 | 0.5708 | 0.7555 |
No log | 9.8571 | 276 | 0.5793 | 0.6308 | 0.5793 | 0.7611 |
No log | 9.9286 | 278 | 0.6080 | 0.5982 | 0.6080 | 0.7797 |
No log | 10.0 | 280 | 0.6074 | 0.6006 | 0.6074 | 0.7794 |
No log | 10.0714 | 282 | 0.5988 | 0.6354 | 0.5988 | 0.7738 |
No log | 10.1429 | 284 | 0.6082 | 0.6098 | 0.6082 | 0.7799 |
No log | 10.2143 | 286 | 0.6394 | 0.5387 | 0.6394 | 0.7996 |
No log | 10.2857 | 288 | 0.6898 | 0.5109 | 0.6898 | 0.8306 |
No log | 10.3571 | 290 | 0.5975 | 0.5234 | 0.5975 | 0.7730 |
No log | 10.4286 | 292 | 0.5911 | 0.5685 | 0.5911 | 0.7688 |
No log | 10.5 | 294 | 0.5969 | 0.5602 | 0.5969 | 0.7726 |
No log | 10.5714 | 296 | 0.5736 | 0.5667 | 0.5736 | 0.7573 |
No log | 10.6429 | 298 | 0.5980 | 0.5579 | 0.5980 | 0.7733 |
No log | 10.7143 | 300 | 0.6000 | 0.5495 | 0.6000 | 0.7746 |
No log | 10.7857 | 302 | 0.6059 | 0.5725 | 0.6059 | 0.7784 |
No log | 10.8571 | 304 | 0.6033 | 0.5356 | 0.6033 | 0.7767 |
No log | 10.9286 | 306 | 0.6242 | 0.5035 | 0.6242 | 0.7901 |
No log | 11.0 | 308 | 0.6215 | 0.5810 | 0.6215 | 0.7884 |
No log | 11.0714 | 310 | 0.6348 | 0.5387 | 0.6348 | 0.7967 |
No log | 11.1429 | 312 | 0.6691 | 0.4939 | 0.6691 | 0.8180 |
No log | 11.2143 | 314 | 0.6699 | 0.5076 | 0.6699 | 0.8185 |
No log | 11.2857 | 316 | 0.5751 | 0.6148 | 0.5751 | 0.7584 |
No log | 11.3571 | 318 | 0.5733 | 0.4948 | 0.5733 | 0.7572 |
No log | 11.4286 | 320 | 0.6005 | 0.5155 | 0.6005 | 0.7749 |
No log | 11.5 | 322 | 0.5786 | 0.6413 | 0.5786 | 0.7606 |
No log | 11.5714 | 324 | 0.5836 | 0.6588 | 0.5836 | 0.7640 |
No log | 11.6429 | 326 | 0.5927 | 0.6612 | 0.5927 | 0.7699 |
No log | 11.7143 | 328 | 0.6451 | 0.4959 | 0.6451 | 0.8032 |
No log | 11.7857 | 330 | 0.7067 | 0.4346 | 0.7067 | 0.8407 |
No log | 11.8571 | 332 | 0.6701 | 0.4564 | 0.6701 | 0.8186 |
No log | 11.9286 | 334 | 0.5992 | 0.5230 | 0.5992 | 0.7741 |
No log | 12.0 | 336 | 0.5811 | 0.5902 | 0.5811 | 0.7623 |
No log | 12.0714 | 338 | 0.5982 | 0.5230 | 0.5982 | 0.7734 |
No log | 12.1429 | 340 | 0.5581 | 0.5780 | 0.5581 | 0.7471 |
No log | 12.2143 | 342 | 0.5685 | 0.5501 | 0.5685 | 0.7540 |
No log | 12.2857 | 344 | 0.6233 | 0.4819 | 0.6233 | 0.7895 |
No log | 12.3571 | 346 | 0.5989 | 0.5263 | 0.5989 | 0.7739 |
No log | 12.4286 | 348 | 0.5698 | 0.5956 | 0.5698 | 0.7548 |
No log | 12.5 | 350 | 0.5921 | 0.5785 | 0.5921 | 0.7695 |
No log | 12.5714 | 352 | 0.5780 | 0.5813 | 0.5780 | 0.7603 |
No log | 12.6429 | 354 | 0.5709 | 0.5779 | 0.5709 | 0.7556 |
No log | 12.7143 | 356 | 0.5858 | 0.5004 | 0.5858 | 0.7654 |
No log | 12.7857 | 358 | 0.5840 | 0.5266 | 0.5840 | 0.7642 |
No log | 12.8571 | 360 | 0.5502 | 0.6112 | 0.5502 | 0.7417 |
No log | 12.9286 | 362 | 0.5759 | 0.5680 | 0.5759 | 0.7589 |
No log | 13.0 | 364 | 0.5683 | 0.6010 | 0.5683 | 0.7539 |
No log | 13.0714 | 366 | 0.5542 | 0.5903 | 0.5542 | 0.7445 |
No log | 13.1429 | 368 | 0.5696 | 0.5548 | 0.5696 | 0.7547 |
No log | 13.2143 | 370 | 0.5668 | 0.5725 | 0.5668 | 0.7528 |
No log | 13.2857 | 372 | 0.5591 | 0.6260 | 0.5591 | 0.7477 |
No log | 13.3571 | 374 | 0.5656 | 0.5905 | 0.5656 | 0.7521 |
No log | 13.4286 | 376 | 0.5640 | 0.5963 | 0.5640 | 0.7510 |
No log | 13.5 | 378 | 0.5446 | 0.5991 | 0.5446 | 0.7379 |
No log | 13.5714 | 380 | 0.5355 | 0.5914 | 0.5355 | 0.7318 |
No log | 13.6429 | 382 | 0.5299 | 0.6153 | 0.5299 | 0.7279 |
No log | 13.7143 | 384 | 0.5368 | 0.5851 | 0.5368 | 0.7327 |
No log | 13.7857 | 386 | 0.5306 | 0.6065 | 0.5306 | 0.7284 |
No log | 13.8571 | 388 | 0.5506 | 0.5880 | 0.5506 | 0.7420 |
No log | 13.9286 | 390 | 0.5576 | 0.5880 | 0.5576 | 0.7467 |
No log | 14.0 | 392 | 0.5357 | 0.5762 | 0.5357 | 0.7319 |
No log | 14.0714 | 394 | 0.5360 | 0.5401 | 0.5360 | 0.7321 |
No log | 14.1429 | 396 | 0.5657 | 0.5550 | 0.5657 | 0.7521 |
No log | 14.2143 | 398 | 0.6543 | 0.5277 | 0.6543 | 0.8089 |
No log | 14.2857 | 400 | 0.6531 | 0.5452 | 0.6531 | 0.8081 |
No log | 14.3571 | 402 | 0.5617 | 0.6234 | 0.5617 | 0.7495 |
No log | 14.4286 | 404 | 0.5399 | 0.6219 | 0.5399 | 0.7348 |
No log | 14.5 | 406 | 0.5343 | 0.5895 | 0.5343 | 0.7310 |
No log | 14.5714 | 408 | 0.5396 | 0.4697 | 0.5396 | 0.7346 |
No log | 14.6429 | 410 | 0.5705 | 0.5039 | 0.5705 | 0.7553 |
No log | 14.7143 | 412 | 0.5401 | 0.4933 | 0.5401 | 0.7349 |
No log | 14.7857 | 414 | 0.5227 | 0.5155 | 0.5227 | 0.7230 |
No log | 14.8571 | 416 | 0.5423 | 0.5732 | 0.5423 | 0.7364 |
No log | 14.9286 | 418 | 0.5373 | 0.5982 | 0.5373 | 0.7330 |
No log | 15.0 | 420 | 0.5375 | 0.5913 | 0.5375 | 0.7331 |
No log | 15.0714 | 422 | 0.6176 | 0.4792 | 0.6176 | 0.7858 |
No log | 15.1429 | 424 | 0.6670 | 0.4970 | 0.6670 | 0.8167 |
No log | 15.2143 | 426 | 0.5860 | 0.4797 | 0.5860 | 0.7655 |
No log | 15.2857 | 428 | 0.5372 | 0.5642 | 0.5372 | 0.7329 |
No log | 15.3571 | 430 | 0.5355 | 0.5312 | 0.5355 | 0.7318 |
No log | 15.4286 | 432 | 0.5419 | 0.4953 | 0.5419 | 0.7361 |
No log | 15.5 | 434 | 0.5432 | 0.5134 | 0.5432 | 0.7370 |
No log | 15.5714 | 436 | 0.5337 | 0.5218 | 0.5337 | 0.7305 |
No log | 15.6429 | 438 | 0.5481 | 0.4835 | 0.5481 | 0.7403 |
No log | 15.7143 | 440 | 0.5489 | 0.4640 | 0.5489 | 0.7409 |
No log | 15.7857 | 442 | 0.5236 | 0.5638 | 0.5236 | 0.7236 |
No log | 15.8571 | 444 | 0.5315 | 0.6376 | 0.5315 | 0.7291 |
No log | 15.9286 | 446 | 0.6302 | 0.5190 | 0.6302 | 0.7939 |
No log | 16.0 | 448 | 0.7618 | 0.5121 | 0.7618 | 0.8728 |
No log | 16.0714 | 450 | 0.7692 | 0.5017 | 0.7692 | 0.8770 |
No log | 16.1429 | 452 | 0.6521 | 0.5459 | 0.6521 | 0.8075 |
No log | 16.2143 | 454 | 0.5934 | 0.5542 | 0.5934 | 0.7703 |
No log | 16.2857 | 456 | 0.6025 | 0.5367 | 0.6025 | 0.7762 |
No log | 16.3571 | 458 | 0.6399 | 0.5075 | 0.6399 | 0.7999 |
No log | 16.4286 | 460 | 0.6323 | 0.5274 | 0.6323 | 0.7952 |
No log | 16.5 | 462 | 0.6079 | 0.5698 | 0.6079 | 0.7797 |
No log | 16.5714 | 464 | 0.5611 | 0.5985 | 0.5611 | 0.7491 |
No log | 16.6429 | 466 | 0.5510 | 0.5905 | 0.5510 | 0.7423 |
No log | 16.7143 | 468 | 0.5455 | 0.5866 | 0.5455 | 0.7386 |
No log | 16.7857 | 470 | 0.5380 | 0.5891 | 0.5380 | 0.7335 |
No log | 16.8571 | 472 | 0.5395 | 0.5973 | 0.5395 | 0.7345 |
No log | 16.9286 | 474 | 0.5552 | 0.5880 | 0.5552 | 0.7451 |
No log | 17.0 | 476 | 0.6037 | 0.5257 | 0.6037 | 0.7770 |
No log | 17.0714 | 478 | 0.5882 | 0.5699 | 0.5882 | 0.7670 |
No log | 17.1429 | 480 | 0.5384 | 0.5803 | 0.5384 | 0.7337 |
No log | 17.2143 | 482 | 0.5426 | 0.5642 | 0.5426 | 0.7366 |
No log | 17.2857 | 484 | 0.5432 | 0.6090 | 0.5432 | 0.7370 |
No log | 17.3571 | 486 | 0.5435 | 0.6464 | 0.5435 | 0.7372 |
No log | 17.4286 | 488 | 0.5433 | 0.5762 | 0.5433 | 0.7371 |
No log | 17.5 | 490 | 0.5425 | 0.5846 | 0.5425 | 0.7366 |
No log | 17.5714 | 492 | 0.5421 | 0.5762 | 0.5421 | 0.7363 |
No log | 17.6429 | 494 | 0.5450 | 0.5972 | 0.5450 | 0.7382 |
No log | 17.7143 | 496 | 0.5531 | 0.5871 | 0.5531 | 0.7437 |
No log | 17.7857 | 498 | 0.5322 | 0.5767 | 0.5322 | 0.7295 |
0.3362 | 17.8571 | 500 | 0.5388 | 0.5643 | 0.5388 | 0.7340 |
0.3362 | 17.9286 | 502 | 0.5653 | 0.5065 | 0.5653 | 0.7519 |
0.3362 | 18.0 | 504 | 0.5536 | 0.5377 | 0.5536 | 0.7441 |
0.3362 | 18.0714 | 506 | 0.5311 | 0.5823 | 0.5311 | 0.7288 |
0.3362 | 18.1429 | 508 | 0.5650 | 0.6028 | 0.5650 | 0.7517 |
0.3362 | 18.2143 | 510 | 0.5749 | 0.6229 | 0.5749 | 0.7582 |
0.3362 | 18.2857 | 512 | 0.5719 | 0.5732 | 0.5719 | 0.7563 |
0.3362 | 18.3571 | 514 | 0.6005 | 0.5784 | 0.6005 | 0.7749 |
0.3362 | 18.4286 | 516 | 0.6296 | 0.5702 | 0.6296 | 0.7935 |
0.3362 | 18.5 | 518 | 0.6355 | 0.5624 | 0.6355 | 0.7972 |
0.3362 | 18.5714 | 520 | 0.5843 | 0.5632 | 0.5843 | 0.7644 |
0.3362 | 18.6429 | 522 | 0.5840 | 0.5398 | 0.5840 | 0.7642 |
0.3362 | 18.7143 | 524 | 0.6036 | 0.5578 | 0.6036 | 0.7769 |
0.3362 | 18.7857 | 526 | 0.6529 | 0.6036 | 0.6529 | 0.8080 |
0.3362 | 18.8571 | 528 | 0.6988 | 0.5546 | 0.6988 | 0.8359 |
0.3362 | 18.9286 | 530 | 0.6710 | 0.5546 | 0.6710 | 0.8191 |
0.3362 | 19.0 | 532 | 0.6343 | 0.5080 | 0.6343 | 0.7964 |
0.3362 | 19.0714 | 534 | 0.6129 | 0.4993 | 0.6129 | 0.7829 |
0.3362 | 19.1429 | 536 | 0.6308 | 0.4938 | 0.6308 | 0.7942 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task2_organization
Base model
aubmindlab/bert-base-arabertv02