ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k7_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: 0.5574
- Qwk: 0.4587
- Mse: 0.5574
- Rmse: 0.7466
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 | 0.0526 | 2 | 4.3533 | -0.0170 | 4.3533 | 2.0864 |
No log | 0.1053 | 4 | 2.1785 | 0.0693 | 2.1785 | 1.4760 |
No log | 0.1579 | 6 | 1.2412 | 0.0258 | 1.2412 | 1.1141 |
No log | 0.2105 | 8 | 1.0737 | -0.0498 | 1.0737 | 1.0362 |
No log | 0.2632 | 10 | 0.8612 | 0.2216 | 0.8612 | 0.9280 |
No log | 0.3158 | 12 | 0.7974 | 0.2319 | 0.7974 | 0.8929 |
No log | 0.3684 | 14 | 0.8692 | 0.1765 | 0.8692 | 0.9323 |
No log | 0.4211 | 16 | 1.0856 | -0.0560 | 1.0856 | 1.0419 |
No log | 0.4737 | 18 | 1.1331 | 0.0313 | 1.1331 | 1.0645 |
No log | 0.5263 | 20 | 1.1033 | 0.0153 | 1.1033 | 1.0504 |
No log | 0.5789 | 22 | 0.8862 | 0.1423 | 0.8862 | 0.9414 |
No log | 0.6316 | 24 | 0.7566 | 0.2397 | 0.7566 | 0.8698 |
No log | 0.6842 | 26 | 0.7896 | 0.1199 | 0.7896 | 0.8886 |
No log | 0.7368 | 28 | 0.7765 | 0.1671 | 0.7765 | 0.8812 |
No log | 0.7895 | 30 | 0.7675 | 0.2713 | 0.7675 | 0.8761 |
No log | 0.8421 | 32 | 0.9557 | 0.1186 | 0.9557 | 0.9776 |
No log | 0.8947 | 34 | 1.3440 | 0.0258 | 1.3440 | 1.1593 |
No log | 0.9474 | 36 | 1.3523 | 0.0055 | 1.3523 | 1.1629 |
No log | 1.0 | 38 | 1.1376 | 0.0421 | 1.1376 | 1.0666 |
No log | 1.0526 | 40 | 0.9085 | 0.1339 | 0.9085 | 0.9532 |
No log | 1.1053 | 42 | 0.9344 | 0.2254 | 0.9344 | 0.9666 |
No log | 1.1579 | 44 | 0.7955 | 0.3340 | 0.7955 | 0.8919 |
No log | 1.2105 | 46 | 0.7030 | 0.3169 | 0.7030 | 0.8384 |
No log | 1.2632 | 48 | 0.7063 | 0.3583 | 0.7063 | 0.8404 |
No log | 1.3158 | 50 | 0.7188 | 0.2988 | 0.7188 | 0.8478 |
No log | 1.3684 | 52 | 0.7522 | 0.1853 | 0.7522 | 0.8673 |
No log | 1.4211 | 54 | 0.7311 | 0.3205 | 0.7311 | 0.8550 |
No log | 1.4737 | 56 | 0.7373 | 0.2749 | 0.7373 | 0.8586 |
No log | 1.5263 | 58 | 0.8022 | 0.2085 | 0.8022 | 0.8957 |
No log | 1.5789 | 60 | 1.0071 | 0.1417 | 1.0071 | 1.0035 |
No log | 1.6316 | 62 | 0.9699 | 0.1647 | 0.9699 | 0.9848 |
No log | 1.6842 | 64 | 0.8524 | 0.2249 | 0.8524 | 0.9233 |
No log | 1.7368 | 66 | 0.7678 | 0.2743 | 0.7678 | 0.8763 |
No log | 1.7895 | 68 | 0.7636 | 0.3371 | 0.7636 | 0.8739 |
No log | 1.8421 | 70 | 0.7623 | 0.3557 | 0.7623 | 0.8731 |
No log | 1.8947 | 72 | 0.7625 | 0.3323 | 0.7625 | 0.8732 |
No log | 1.9474 | 74 | 0.7888 | 0.3202 | 0.7888 | 0.8882 |
No log | 2.0 | 76 | 0.7790 | 0.2961 | 0.7790 | 0.8826 |
No log | 2.0526 | 78 | 0.7731 | 0.2647 | 0.7731 | 0.8793 |
No log | 2.1053 | 80 | 0.8045 | 0.3281 | 0.8045 | 0.8969 |
No log | 2.1579 | 82 | 0.8773 | 0.4052 | 0.8773 | 0.9367 |
No log | 2.2105 | 84 | 0.7997 | 0.3464 | 0.7997 | 0.8943 |
No log | 2.2632 | 86 | 0.8047 | 0.3263 | 0.8047 | 0.8971 |
No log | 2.3158 | 88 | 0.8443 | 0.3092 | 0.8443 | 0.9189 |
No log | 2.3684 | 90 | 0.7888 | 0.3986 | 0.7888 | 0.8881 |
No log | 2.4211 | 92 | 0.9508 | 0.3661 | 0.9508 | 0.9751 |
No log | 2.4737 | 94 | 0.9173 | 0.3192 | 0.9173 | 0.9578 |
No log | 2.5263 | 96 | 0.7885 | 0.3820 | 0.7885 | 0.8880 |
No log | 2.5789 | 98 | 0.6663 | 0.4376 | 0.6663 | 0.8163 |
No log | 2.6316 | 100 | 0.6346 | 0.4498 | 0.6346 | 0.7966 |
No log | 2.6842 | 102 | 0.6298 | 0.4384 | 0.6298 | 0.7936 |
No log | 2.7368 | 104 | 0.6677 | 0.4724 | 0.6677 | 0.8172 |
No log | 2.7895 | 106 | 0.6566 | 0.4623 | 0.6566 | 0.8103 |
No log | 2.8421 | 108 | 0.6477 | 0.4695 | 0.6477 | 0.8048 |
No log | 2.8947 | 110 | 0.6687 | 0.4785 | 0.6687 | 0.8177 |
No log | 2.9474 | 112 | 0.6722 | 0.4920 | 0.6722 | 0.8199 |
No log | 3.0 | 114 | 0.6362 | 0.5120 | 0.6362 | 0.7976 |
No log | 3.0526 | 116 | 0.6580 | 0.5356 | 0.6580 | 0.8112 |
No log | 3.1053 | 118 | 0.6640 | 0.5674 | 0.6640 | 0.8148 |
No log | 3.1579 | 120 | 0.6765 | 0.5356 | 0.6765 | 0.8225 |
No log | 3.2105 | 122 | 0.6768 | 0.5421 | 0.6768 | 0.8227 |
No log | 3.2632 | 124 | 0.7224 | 0.4612 | 0.7224 | 0.8499 |
No log | 3.3158 | 126 | 0.8046 | 0.4477 | 0.8046 | 0.8970 |
No log | 3.3684 | 128 | 0.7139 | 0.5115 | 0.7139 | 0.8449 |
No log | 3.4211 | 130 | 0.7423 | 0.4607 | 0.7423 | 0.8616 |
No log | 3.4737 | 132 | 1.1024 | 0.3865 | 1.1024 | 1.0499 |
No log | 3.5263 | 134 | 1.0915 | 0.3476 | 1.0915 | 1.0447 |
No log | 3.5789 | 136 | 0.8338 | 0.4561 | 0.8338 | 0.9131 |
No log | 3.6316 | 138 | 0.6989 | 0.4065 | 0.6989 | 0.8360 |
No log | 3.6842 | 140 | 0.6135 | 0.4300 | 0.6135 | 0.7833 |
No log | 3.7368 | 142 | 0.6312 | 0.4694 | 0.6312 | 0.7945 |
No log | 3.7895 | 144 | 0.6269 | 0.4705 | 0.6269 | 0.7917 |
No log | 3.8421 | 146 | 0.5991 | 0.4877 | 0.5991 | 0.7740 |
No log | 3.8947 | 148 | 0.5890 | 0.4654 | 0.5890 | 0.7674 |
No log | 3.9474 | 150 | 0.6375 | 0.4620 | 0.6375 | 0.7984 |
No log | 4.0 | 152 | 0.5974 | 0.4611 | 0.5974 | 0.7729 |
No log | 4.0526 | 154 | 0.6818 | 0.4636 | 0.6818 | 0.8257 |
No log | 4.1053 | 156 | 0.9920 | 0.2853 | 0.9920 | 0.9960 |
No log | 4.1579 | 158 | 0.9733 | 0.3084 | 0.9733 | 0.9866 |
No log | 4.2105 | 160 | 0.7333 | 0.4452 | 0.7333 | 0.8564 |
No log | 4.2632 | 162 | 0.6046 | 0.5679 | 0.6046 | 0.7775 |
No log | 4.3158 | 164 | 0.6220 | 0.5858 | 0.6220 | 0.7886 |
No log | 4.3684 | 166 | 0.6380 | 0.5548 | 0.6380 | 0.7988 |
No log | 4.4211 | 168 | 0.6510 | 0.5372 | 0.6510 | 0.8069 |
No log | 4.4737 | 170 | 0.6406 | 0.5378 | 0.6406 | 0.8004 |
No log | 4.5263 | 172 | 0.6744 | 0.5271 | 0.6744 | 0.8212 |
No log | 4.5789 | 174 | 0.7127 | 0.5167 | 0.7127 | 0.8442 |
No log | 4.6316 | 176 | 0.6856 | 0.5140 | 0.6856 | 0.8280 |
No log | 4.6842 | 178 | 0.6866 | 0.5200 | 0.6866 | 0.8286 |
No log | 4.7368 | 180 | 0.6040 | 0.5224 | 0.6040 | 0.7772 |
No log | 4.7895 | 182 | 0.5713 | 0.4391 | 0.5713 | 0.7559 |
No log | 4.8421 | 184 | 0.5617 | 0.4479 | 0.5617 | 0.7495 |
No log | 4.8947 | 186 | 0.5565 | 0.4731 | 0.5565 | 0.7460 |
No log | 4.9474 | 188 | 0.5651 | 0.4792 | 0.5651 | 0.7517 |
No log | 5.0 | 190 | 0.5655 | 0.5170 | 0.5655 | 0.7520 |
No log | 5.0526 | 192 | 0.6294 | 0.5422 | 0.6294 | 0.7933 |
No log | 5.1053 | 194 | 0.6244 | 0.5581 | 0.6244 | 0.7902 |
No log | 5.1579 | 196 | 0.5719 | 0.5607 | 0.5719 | 0.7562 |
No log | 5.2105 | 198 | 0.6166 | 0.4474 | 0.6166 | 0.7852 |
No log | 5.2632 | 200 | 0.5818 | 0.4497 | 0.5818 | 0.7628 |
No log | 5.3158 | 202 | 0.5798 | 0.5351 | 0.5798 | 0.7614 |
No log | 5.3684 | 204 | 0.5762 | 0.5429 | 0.5762 | 0.7591 |
No log | 5.4211 | 206 | 0.5666 | 0.5113 | 0.5666 | 0.7527 |
No log | 5.4737 | 208 | 0.5596 | 0.4523 | 0.5596 | 0.7481 |
No log | 5.5263 | 210 | 0.5647 | 0.5216 | 0.5647 | 0.7514 |
No log | 5.5789 | 212 | 0.5628 | 0.5178 | 0.5628 | 0.7502 |
No log | 5.6316 | 214 | 0.6056 | 0.5241 | 0.6056 | 0.7782 |
No log | 5.6842 | 216 | 0.7523 | 0.5008 | 0.7523 | 0.8673 |
No log | 5.7368 | 218 | 0.6531 | 0.5408 | 0.6531 | 0.8081 |
No log | 5.7895 | 220 | 0.5845 | 0.5495 | 0.5845 | 0.7645 |
No log | 5.8421 | 222 | 0.5986 | 0.5189 | 0.5986 | 0.7737 |
No log | 5.8947 | 224 | 0.5644 | 0.5253 | 0.5644 | 0.7513 |
No log | 5.9474 | 226 | 0.5779 | 0.5174 | 0.5779 | 0.7602 |
No log | 6.0 | 228 | 0.6709 | 0.4290 | 0.6709 | 0.8191 |
No log | 6.0526 | 230 | 0.6713 | 0.3953 | 0.6713 | 0.8193 |
No log | 6.1053 | 232 | 0.5740 | 0.5495 | 0.5740 | 0.7577 |
No log | 6.1579 | 234 | 0.6036 | 0.4692 | 0.6036 | 0.7769 |
No log | 6.2105 | 236 | 0.5959 | 0.4637 | 0.5959 | 0.7719 |
No log | 6.2632 | 238 | 0.5638 | 0.5106 | 0.5638 | 0.7509 |
No log | 6.3158 | 240 | 0.5617 | 0.5056 | 0.5617 | 0.7495 |
No log | 6.3684 | 242 | 0.5740 | 0.4774 | 0.5740 | 0.7576 |
No log | 6.4211 | 244 | 0.5639 | 0.4571 | 0.5639 | 0.7509 |
No log | 6.4737 | 246 | 0.5632 | 0.4844 | 0.5632 | 0.7505 |
No log | 6.5263 | 248 | 0.5665 | 0.5219 | 0.5665 | 0.7527 |
No log | 6.5789 | 250 | 0.6038 | 0.4972 | 0.6038 | 0.7770 |
No log | 6.6316 | 252 | 0.7081 | 0.5124 | 0.7081 | 0.8415 |
No log | 6.6842 | 254 | 0.7528 | 0.4817 | 0.7528 | 0.8676 |
No log | 6.7368 | 256 | 0.6657 | 0.4874 | 0.6657 | 0.8159 |
No log | 6.7895 | 258 | 0.6040 | 0.5036 | 0.6040 | 0.7772 |
No log | 6.8421 | 260 | 0.6256 | 0.4515 | 0.6256 | 0.7909 |
No log | 6.8947 | 262 | 0.6382 | 0.4938 | 0.6382 | 0.7989 |
No log | 6.9474 | 264 | 0.5963 | 0.4596 | 0.5963 | 0.7722 |
No log | 7.0 | 266 | 0.5744 | 0.4896 | 0.5744 | 0.7579 |
No log | 7.0526 | 268 | 0.5808 | 0.4615 | 0.5808 | 0.7621 |
No log | 7.1053 | 270 | 0.5934 | 0.4449 | 0.5934 | 0.7703 |
No log | 7.1579 | 272 | 0.6067 | 0.4738 | 0.6067 | 0.7789 |
No log | 7.2105 | 274 | 0.5909 | 0.4703 | 0.5909 | 0.7687 |
No log | 7.2632 | 276 | 0.6116 | 0.4863 | 0.6116 | 0.7820 |
No log | 7.3158 | 278 | 0.5785 | 0.4262 | 0.5785 | 0.7606 |
No log | 7.3684 | 280 | 0.5865 | 0.4540 | 0.5865 | 0.7658 |
No log | 7.4211 | 282 | 0.6204 | 0.5071 | 0.6204 | 0.7876 |
No log | 7.4737 | 284 | 0.6101 | 0.5151 | 0.6101 | 0.7811 |
No log | 7.5263 | 286 | 0.5625 | 0.3788 | 0.5625 | 0.7500 |
No log | 7.5789 | 288 | 0.6337 | 0.4007 | 0.6337 | 0.7961 |
No log | 7.6316 | 290 | 0.7809 | 0.4390 | 0.7809 | 0.8837 |
No log | 7.6842 | 292 | 0.7341 | 0.4308 | 0.7341 | 0.8568 |
No log | 7.7368 | 294 | 0.5860 | 0.5115 | 0.5860 | 0.7655 |
No log | 7.7895 | 296 | 0.5585 | 0.5311 | 0.5585 | 0.7473 |
No log | 7.8421 | 298 | 0.6262 | 0.5383 | 0.6262 | 0.7914 |
No log | 7.8947 | 300 | 0.6290 | 0.5224 | 0.6290 | 0.7931 |
No log | 7.9474 | 302 | 0.5560 | 0.5556 | 0.5560 | 0.7456 |
No log | 8.0 | 304 | 0.5861 | 0.5109 | 0.5861 | 0.7656 |
No log | 8.0526 | 306 | 0.7648 | 0.4412 | 0.7648 | 0.8745 |
No log | 8.1053 | 308 | 0.7923 | 0.4831 | 0.7923 | 0.8901 |
No log | 8.1579 | 310 | 0.6582 | 0.4589 | 0.6582 | 0.8113 |
No log | 8.2105 | 312 | 0.5568 | 0.5652 | 0.5568 | 0.7462 |
No log | 8.2632 | 314 | 0.6431 | 0.5076 | 0.6431 | 0.8020 |
No log | 8.3158 | 316 | 0.6844 | 0.4698 | 0.6844 | 0.8273 |
No log | 8.3684 | 318 | 0.6089 | 0.5021 | 0.6089 | 0.7803 |
No log | 8.4211 | 320 | 0.5544 | 0.5253 | 0.5544 | 0.7446 |
No log | 8.4737 | 322 | 0.6151 | 0.4650 | 0.6151 | 0.7843 |
No log | 8.5263 | 324 | 0.6430 | 0.4878 | 0.6430 | 0.8019 |
No log | 8.5789 | 326 | 0.5909 | 0.4603 | 0.5909 | 0.7687 |
No log | 8.6316 | 328 | 0.5674 | 0.5182 | 0.5674 | 0.7532 |
No log | 8.6842 | 330 | 0.5808 | 0.5084 | 0.5808 | 0.7621 |
No log | 8.7368 | 332 | 0.5712 | 0.4977 | 0.5712 | 0.7558 |
No log | 8.7895 | 334 | 0.5831 | 0.4856 | 0.5831 | 0.7636 |
No log | 8.8421 | 336 | 0.6091 | 0.4644 | 0.6091 | 0.7804 |
No log | 8.8947 | 338 | 0.5972 | 0.5046 | 0.5972 | 0.7728 |
No log | 8.9474 | 340 | 0.6240 | 0.5040 | 0.6240 | 0.7900 |
No log | 9.0 | 342 | 0.6815 | 0.5178 | 0.6815 | 0.8256 |
No log | 9.0526 | 344 | 0.6932 | 0.5095 | 0.6932 | 0.8326 |
No log | 9.1053 | 346 | 0.7149 | 0.5026 | 0.7149 | 0.8455 |
No log | 9.1579 | 348 | 0.6500 | 0.4669 | 0.6500 | 0.8062 |
No log | 9.2105 | 350 | 0.6266 | 0.4529 | 0.6266 | 0.7916 |
No log | 9.2632 | 352 | 0.6338 | 0.4412 | 0.6338 | 0.7961 |
No log | 9.3158 | 354 | 0.6361 | 0.4349 | 0.6361 | 0.7976 |
No log | 9.3684 | 356 | 0.6849 | 0.5260 | 0.6849 | 0.8276 |
No log | 9.4211 | 358 | 0.7929 | 0.4376 | 0.7929 | 0.8905 |
No log | 9.4737 | 360 | 0.7964 | 0.4156 | 0.7964 | 0.8924 |
No log | 9.5263 | 362 | 0.7236 | 0.4814 | 0.7236 | 0.8507 |
No log | 9.5789 | 364 | 0.6587 | 0.5076 | 0.6587 | 0.8116 |
No log | 9.6316 | 366 | 0.6356 | 0.4998 | 0.6356 | 0.7973 |
No log | 9.6842 | 368 | 0.6694 | 0.4406 | 0.6694 | 0.8182 |
No log | 9.7368 | 370 | 0.6717 | 0.4707 | 0.6717 | 0.8196 |
No log | 9.7895 | 372 | 0.6770 | 0.5727 | 0.6770 | 0.8228 |
No log | 9.8421 | 374 | 0.6824 | 0.5330 | 0.6824 | 0.8261 |
No log | 9.8947 | 376 | 0.7110 | 0.5319 | 0.7110 | 0.8432 |
No log | 9.9474 | 378 | 0.7264 | 0.5224 | 0.7264 | 0.8523 |
No log | 10.0 | 380 | 0.6872 | 0.4953 | 0.6872 | 0.8290 |
No log | 10.0526 | 382 | 0.6226 | 0.4473 | 0.6226 | 0.7890 |
No log | 10.1053 | 384 | 0.6103 | 0.4377 | 0.6103 | 0.7812 |
No log | 10.1579 | 386 | 0.6001 | 0.4173 | 0.6001 | 0.7746 |
No log | 10.2105 | 388 | 0.6042 | 0.4212 | 0.6042 | 0.7773 |
No log | 10.2632 | 390 | 0.6156 | 0.3986 | 0.6156 | 0.7846 |
No log | 10.3158 | 392 | 0.6484 | 0.4361 | 0.6484 | 0.8052 |
No log | 10.3684 | 394 | 0.6695 | 0.4532 | 0.6695 | 0.8182 |
No log | 10.4211 | 396 | 0.6463 | 0.4949 | 0.6463 | 0.8039 |
No log | 10.4737 | 398 | 0.6031 | 0.4505 | 0.6031 | 0.7766 |
No log | 10.5263 | 400 | 0.6026 | 0.4481 | 0.6026 | 0.7763 |
No log | 10.5789 | 402 | 0.6037 | 0.4664 | 0.6037 | 0.7770 |
No log | 10.6316 | 404 | 0.6744 | 0.4612 | 0.6744 | 0.8212 |
No log | 10.6842 | 406 | 0.6845 | 0.4705 | 0.6845 | 0.8274 |
No log | 10.7368 | 408 | 0.6161 | 0.4292 | 0.6161 | 0.7849 |
No log | 10.7895 | 410 | 0.5667 | 0.4302 | 0.5667 | 0.7528 |
No log | 10.8421 | 412 | 0.5628 | 0.4771 | 0.5628 | 0.7502 |
No log | 10.8947 | 414 | 0.5693 | 0.4841 | 0.5693 | 0.7545 |
No log | 10.9474 | 416 | 0.6161 | 0.4317 | 0.6161 | 0.7849 |
No log | 11.0 | 418 | 0.6093 | 0.4567 | 0.6093 | 0.7805 |
No log | 11.0526 | 420 | 0.5878 | 0.4736 | 0.5878 | 0.7667 |
No log | 11.1053 | 422 | 0.5784 | 0.4963 | 0.5784 | 0.7605 |
No log | 11.1579 | 424 | 0.5772 | 0.4748 | 0.5772 | 0.7597 |
No log | 11.2105 | 426 | 0.5698 | 0.4785 | 0.5698 | 0.7549 |
No log | 11.2632 | 428 | 0.5657 | 0.4676 | 0.5657 | 0.7522 |
No log | 11.3158 | 430 | 0.5632 | 0.4522 | 0.5632 | 0.7504 |
No log | 11.3684 | 432 | 0.5690 | 0.4531 | 0.5690 | 0.7543 |
No log | 11.4211 | 434 | 0.5634 | 0.4541 | 0.5634 | 0.7506 |
No log | 11.4737 | 436 | 0.5650 | 0.4497 | 0.5650 | 0.7516 |
No log | 11.5263 | 438 | 0.5703 | 0.4294 | 0.5703 | 0.7552 |
No log | 11.5789 | 440 | 0.5748 | 0.4297 | 0.5748 | 0.7582 |
No log | 11.6316 | 442 | 0.5875 | 0.4583 | 0.5875 | 0.7665 |
No log | 11.6842 | 444 | 0.6270 | 0.5065 | 0.6270 | 0.7918 |
No log | 11.7368 | 446 | 0.6455 | 0.5134 | 0.6455 | 0.8035 |
No log | 11.7895 | 448 | 0.6371 | 0.5251 | 0.6371 | 0.7982 |
No log | 11.8421 | 450 | 0.6038 | 0.4728 | 0.6038 | 0.7771 |
No log | 11.8947 | 452 | 0.5832 | 0.4270 | 0.5832 | 0.7637 |
No log | 11.9474 | 454 | 0.5915 | 0.4308 | 0.5915 | 0.7691 |
No log | 12.0 | 456 | 0.5854 | 0.4405 | 0.5854 | 0.7651 |
No log | 12.0526 | 458 | 0.5736 | 0.4439 | 0.5736 | 0.7574 |
No log | 12.1053 | 460 | 0.5881 | 0.4455 | 0.5881 | 0.7669 |
No log | 12.1579 | 462 | 0.5872 | 0.4653 | 0.5872 | 0.7663 |
No log | 12.2105 | 464 | 0.5726 | 0.4573 | 0.5726 | 0.7567 |
No log | 12.2632 | 466 | 0.5897 | 0.4515 | 0.5897 | 0.7679 |
No log | 12.3158 | 468 | 0.6064 | 0.4370 | 0.6064 | 0.7787 |
No log | 12.3684 | 470 | 0.5794 | 0.4572 | 0.5794 | 0.7612 |
No log | 12.4211 | 472 | 0.5701 | 0.4570 | 0.5701 | 0.7550 |
No log | 12.4737 | 474 | 0.5811 | 0.4835 | 0.5811 | 0.7623 |
No log | 12.5263 | 476 | 0.5920 | 0.5041 | 0.5920 | 0.7694 |
No log | 12.5789 | 478 | 0.5649 | 0.4395 | 0.5649 | 0.7516 |
No log | 12.6316 | 480 | 0.5550 | 0.4539 | 0.5550 | 0.7450 |
No log | 12.6842 | 482 | 0.5659 | 0.4474 | 0.5659 | 0.7523 |
No log | 12.7368 | 484 | 0.5888 | 0.4587 | 0.5888 | 0.7673 |
No log | 12.7895 | 486 | 0.5862 | 0.4587 | 0.5862 | 0.7656 |
No log | 12.8421 | 488 | 0.5746 | 0.4618 | 0.5746 | 0.7580 |
No log | 12.8947 | 490 | 0.5669 | 0.4668 | 0.5669 | 0.7529 |
No log | 12.9474 | 492 | 0.5634 | 0.4538 | 0.5634 | 0.7506 |
No log | 13.0 | 494 | 0.5699 | 0.4217 | 0.5699 | 0.7549 |
No log | 13.0526 | 496 | 0.5920 | 0.4395 | 0.5920 | 0.7694 |
No log | 13.1053 | 498 | 0.6046 | 0.4827 | 0.6046 | 0.7776 |
0.3662 | 13.1579 | 500 | 0.5881 | 0.4800 | 0.5881 | 0.7669 |
0.3662 | 13.2105 | 502 | 0.5660 | 0.4992 | 0.5660 | 0.7524 |
0.3662 | 13.2632 | 504 | 0.5679 | 0.4957 | 0.5679 | 0.7536 |
0.3662 | 13.3158 | 506 | 0.5680 | 0.5304 | 0.5680 | 0.7536 |
0.3662 | 13.3684 | 508 | 0.5582 | 0.4957 | 0.5582 | 0.7471 |
0.3662 | 13.4211 | 510 | 0.5487 | 0.5109 | 0.5487 | 0.7407 |
0.3662 | 13.4737 | 512 | 0.5520 | 0.4819 | 0.5520 | 0.7429 |
0.3662 | 13.5263 | 514 | 0.5829 | 0.4602 | 0.5829 | 0.7635 |
0.3662 | 13.5789 | 516 | 0.5764 | 0.4099 | 0.5764 | 0.7592 |
0.3662 | 13.6316 | 518 | 0.5580 | 0.4348 | 0.5580 | 0.7470 |
0.3662 | 13.6842 | 520 | 0.5543 | 0.4661 | 0.5543 | 0.7445 |
0.3662 | 13.7368 | 522 | 0.5574 | 0.4587 | 0.5574 | 0.7466 |
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_k7_task2_organization
Base model
aubmindlab/bert-base-arabertv02