ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_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: 0.6844
- Qwk: 0.4299
- Mse: 0.6844
- Rmse: 0.8273
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 | 0.0377 | 2 | 4.2204 | -0.0141 | 4.2204 | 2.0544 |
No log | 0.0755 | 4 | 2.3438 | 0.0747 | 2.3438 | 1.5309 |
No log | 0.1132 | 6 | 1.9534 | -0.0359 | 1.9534 | 1.3976 |
No log | 0.1509 | 8 | 1.5515 | 0.0061 | 1.5515 | 1.2456 |
No log | 0.1887 | 10 | 1.5735 | -0.0321 | 1.5735 | 1.2544 |
No log | 0.2264 | 12 | 1.8069 | -0.1025 | 1.8069 | 1.3442 |
No log | 0.2642 | 14 | 1.7228 | -0.0776 | 1.7228 | 1.3126 |
No log | 0.3019 | 16 | 1.1867 | 0.0339 | 1.1867 | 1.0894 |
No log | 0.3396 | 18 | 1.0190 | 0.0296 | 1.0190 | 1.0094 |
No log | 0.3774 | 20 | 1.0160 | 0.0408 | 1.0160 | 1.0080 |
No log | 0.4151 | 22 | 0.9917 | 0.1170 | 0.9917 | 0.9959 |
No log | 0.4528 | 24 | 0.7645 | 0.3283 | 0.7645 | 0.8743 |
No log | 0.4906 | 26 | 0.7364 | 0.2818 | 0.7364 | 0.8581 |
No log | 0.5283 | 28 | 0.8240 | 0.2620 | 0.8240 | 0.9078 |
No log | 0.5660 | 30 | 0.7949 | 0.2620 | 0.7949 | 0.8916 |
No log | 0.6038 | 32 | 0.8790 | 0.2492 | 0.8790 | 0.9375 |
No log | 0.6415 | 34 | 1.7811 | 0.1303 | 1.7811 | 1.3346 |
No log | 0.6792 | 36 | 2.7615 | 0.0918 | 2.7615 | 1.6618 |
No log | 0.7170 | 38 | 2.1983 | 0.1180 | 2.1983 | 1.4827 |
No log | 0.7547 | 40 | 1.1532 | 0.3212 | 1.1532 | 1.0739 |
No log | 0.7925 | 42 | 0.7626 | 0.2919 | 0.7626 | 0.8733 |
No log | 0.8302 | 44 | 0.6893 | 0.3812 | 0.6893 | 0.8302 |
No log | 0.8679 | 46 | 0.6754 | 0.4148 | 0.6754 | 0.8218 |
No log | 0.9057 | 48 | 0.7908 | 0.3292 | 0.7908 | 0.8893 |
No log | 0.9434 | 50 | 0.9290 | 0.1349 | 0.9290 | 0.9639 |
No log | 0.9811 | 52 | 0.8995 | 0.1857 | 0.8995 | 0.9484 |
No log | 1.0189 | 54 | 0.7703 | 0.3340 | 0.7703 | 0.8777 |
No log | 1.0566 | 56 | 0.6653 | 0.3425 | 0.6653 | 0.8157 |
No log | 1.0943 | 58 | 0.6693 | 0.2900 | 0.6693 | 0.8181 |
No log | 1.1321 | 60 | 0.6754 | 0.3361 | 0.6754 | 0.8218 |
No log | 1.1698 | 62 | 0.7725 | 0.3764 | 0.7725 | 0.8789 |
No log | 1.2075 | 64 | 1.2004 | 0.1149 | 1.2004 | 1.0956 |
No log | 1.2453 | 66 | 1.2931 | 0.1149 | 1.2931 | 1.1371 |
No log | 1.2830 | 68 | 1.0779 | 0.1242 | 1.0779 | 1.0382 |
No log | 1.3208 | 70 | 0.8488 | 0.2859 | 0.8488 | 0.9213 |
No log | 1.3585 | 72 | 0.7250 | 0.3793 | 0.7250 | 0.8515 |
No log | 1.3962 | 74 | 0.6443 | 0.4135 | 0.6443 | 0.8027 |
No log | 1.4340 | 76 | 0.6563 | 0.3069 | 0.6563 | 0.8101 |
No log | 1.4717 | 78 | 0.6383 | 0.3679 | 0.6383 | 0.7989 |
No log | 1.5094 | 80 | 0.6408 | 0.3989 | 0.6408 | 0.8005 |
No log | 1.5472 | 82 | 1.0071 | 0.3497 | 1.0071 | 1.0035 |
No log | 1.5849 | 84 | 1.3337 | 0.2126 | 1.3337 | 1.1549 |
No log | 1.6226 | 86 | 1.0818 | 0.2847 | 1.0818 | 1.0401 |
No log | 1.6604 | 88 | 0.7015 | 0.3704 | 0.7015 | 0.8376 |
No log | 1.6981 | 90 | 0.6564 | 0.3702 | 0.6564 | 0.8102 |
No log | 1.7358 | 92 | 0.6819 | 0.3294 | 0.6819 | 0.8258 |
No log | 1.7736 | 94 | 0.6703 | 0.3425 | 0.6703 | 0.8187 |
No log | 1.8113 | 96 | 0.7473 | 0.3804 | 0.7473 | 0.8644 |
No log | 1.8491 | 98 | 0.8536 | 0.3254 | 0.8536 | 0.9239 |
No log | 1.8868 | 100 | 1.0022 | 0.2124 | 1.0022 | 1.0011 |
No log | 1.9245 | 102 | 1.0108 | 0.2375 | 1.0108 | 1.0054 |
No log | 1.9623 | 104 | 1.0184 | 0.3117 | 1.0184 | 1.0092 |
No log | 2.0 | 106 | 0.8023 | 0.3783 | 0.8023 | 0.8957 |
No log | 2.0377 | 108 | 0.6540 | 0.4590 | 0.6540 | 0.8087 |
No log | 2.0755 | 110 | 0.6359 | 0.5065 | 0.6359 | 0.7974 |
No log | 2.1132 | 112 | 0.6419 | 0.4439 | 0.6419 | 0.8012 |
No log | 2.1509 | 114 | 0.6743 | 0.4933 | 0.6743 | 0.8212 |
No log | 2.1887 | 116 | 0.6730 | 0.5134 | 0.6730 | 0.8204 |
No log | 2.2264 | 118 | 0.6962 | 0.5225 | 0.6962 | 0.8344 |
No log | 2.2642 | 120 | 0.7798 | 0.4678 | 0.7798 | 0.8831 |
No log | 2.3019 | 122 | 0.7306 | 0.4889 | 0.7306 | 0.8547 |
No log | 2.3396 | 124 | 0.6849 | 0.4267 | 0.6849 | 0.8276 |
No log | 2.3774 | 126 | 0.6629 | 0.4941 | 0.6629 | 0.8142 |
No log | 2.4151 | 128 | 0.7222 | 0.4978 | 0.7222 | 0.8498 |
No log | 2.4528 | 130 | 0.7934 | 0.4844 | 0.7934 | 0.8907 |
No log | 2.4906 | 132 | 0.9339 | 0.4034 | 0.9339 | 0.9664 |
No log | 2.5283 | 134 | 1.0057 | 0.3508 | 1.0057 | 1.0028 |
No log | 2.5660 | 136 | 0.7483 | 0.4761 | 0.7483 | 0.8651 |
No log | 2.6038 | 138 | 0.6275 | 0.5165 | 0.6275 | 0.7922 |
No log | 2.6415 | 140 | 0.6754 | 0.4793 | 0.6754 | 0.8218 |
No log | 2.6792 | 142 | 0.7056 | 0.4934 | 0.7056 | 0.8400 |
No log | 2.7170 | 144 | 0.6153 | 0.4568 | 0.6153 | 0.7844 |
No log | 2.7547 | 146 | 0.6132 | 0.5262 | 0.6132 | 0.7831 |
No log | 2.7925 | 148 | 0.6629 | 0.4612 | 0.6629 | 0.8142 |
No log | 2.8302 | 150 | 0.6950 | 0.4991 | 0.6950 | 0.8337 |
No log | 2.8679 | 152 | 0.8200 | 0.4687 | 0.8200 | 0.9055 |
No log | 2.9057 | 154 | 0.7971 | 0.4848 | 0.7971 | 0.8928 |
No log | 2.9434 | 156 | 0.7289 | 0.5026 | 0.7289 | 0.8538 |
No log | 2.9811 | 158 | 0.6748 | 0.4938 | 0.6748 | 0.8215 |
No log | 3.0189 | 160 | 0.6716 | 0.5398 | 0.6716 | 0.8195 |
No log | 3.0566 | 162 | 0.7022 | 0.5197 | 0.7022 | 0.8380 |
No log | 3.0943 | 164 | 0.9971 | 0.3519 | 0.9971 | 0.9986 |
No log | 3.1321 | 166 | 1.1278 | 0.3338 | 1.1278 | 1.0620 |
No log | 3.1698 | 168 | 0.8664 | 0.3898 | 0.8664 | 0.9308 |
No log | 3.2075 | 170 | 0.6329 | 0.4418 | 0.6329 | 0.7956 |
No log | 3.2453 | 172 | 0.7246 | 0.4606 | 0.7246 | 0.8512 |
No log | 3.2830 | 174 | 0.7171 | 0.4598 | 0.7171 | 0.8468 |
No log | 3.3208 | 176 | 0.6169 | 0.3995 | 0.6169 | 0.7854 |
No log | 3.3585 | 178 | 0.6477 | 0.4829 | 0.6477 | 0.8048 |
No log | 3.3962 | 180 | 0.6870 | 0.4996 | 0.6870 | 0.8288 |
No log | 3.4340 | 182 | 0.6496 | 0.5217 | 0.6496 | 0.8060 |
No log | 3.4717 | 184 | 0.6283 | 0.5149 | 0.6283 | 0.7926 |
No log | 3.5094 | 186 | 0.6837 | 0.4912 | 0.6837 | 0.8269 |
No log | 3.5472 | 188 | 0.6713 | 0.4627 | 0.6713 | 0.8193 |
No log | 3.5849 | 190 | 0.6162 | 0.5100 | 0.6162 | 0.7850 |
No log | 3.6226 | 192 | 0.6646 | 0.4864 | 0.6646 | 0.8152 |
No log | 3.6604 | 194 | 0.7058 | 0.5253 | 0.7058 | 0.8401 |
No log | 3.6981 | 196 | 0.6521 | 0.5662 | 0.6521 | 0.8075 |
No log | 3.7358 | 198 | 0.5932 | 0.5404 | 0.5932 | 0.7702 |
No log | 3.7736 | 200 | 0.6576 | 0.5261 | 0.6576 | 0.8109 |
No log | 3.8113 | 202 | 0.6738 | 0.5187 | 0.6738 | 0.8209 |
No log | 3.8491 | 204 | 0.6344 | 0.5078 | 0.6344 | 0.7965 |
No log | 3.8868 | 206 | 0.6404 | 0.5211 | 0.6404 | 0.8003 |
No log | 3.9245 | 208 | 0.6710 | 0.5078 | 0.6710 | 0.8191 |
No log | 3.9623 | 210 | 0.6183 | 0.5122 | 0.6183 | 0.7863 |
No log | 4.0 | 212 | 0.5944 | 0.5584 | 0.5944 | 0.7710 |
No log | 4.0377 | 214 | 0.5914 | 0.5624 | 0.5914 | 0.7690 |
No log | 4.0755 | 216 | 0.5819 | 0.5019 | 0.5819 | 0.7628 |
No log | 4.1132 | 218 | 0.6311 | 0.5104 | 0.6311 | 0.7944 |
No log | 4.1509 | 220 | 0.7068 | 0.4824 | 0.7068 | 0.8407 |
No log | 4.1887 | 222 | 0.6658 | 0.4853 | 0.6658 | 0.8160 |
No log | 4.2264 | 224 | 0.6575 | 0.5080 | 0.6575 | 0.8109 |
No log | 4.2642 | 226 | 0.6301 | 0.5383 | 0.6301 | 0.7938 |
No log | 4.3019 | 228 | 0.6415 | 0.6134 | 0.6415 | 0.8009 |
No log | 4.3396 | 230 | 0.6259 | 0.5817 | 0.6259 | 0.7912 |
No log | 4.3774 | 232 | 0.6253 | 0.5751 | 0.6253 | 0.7907 |
No log | 4.4151 | 234 | 0.6218 | 0.5241 | 0.6218 | 0.7885 |
No log | 4.4528 | 236 | 0.5938 | 0.5323 | 0.5938 | 0.7706 |
No log | 4.4906 | 238 | 0.5889 | 0.5549 | 0.5889 | 0.7674 |
No log | 4.5283 | 240 | 0.5995 | 0.5259 | 0.5995 | 0.7742 |
No log | 4.5660 | 242 | 0.7058 | 0.4608 | 0.7058 | 0.8401 |
No log | 4.6038 | 244 | 0.9825 | 0.4382 | 0.9825 | 0.9912 |
No log | 4.6415 | 246 | 1.0785 | 0.4116 | 1.0785 | 1.0385 |
No log | 4.6792 | 248 | 0.8231 | 0.4508 | 0.8231 | 0.9072 |
No log | 4.7170 | 250 | 0.6316 | 0.5062 | 0.6316 | 0.7947 |
No log | 4.7547 | 252 | 0.5994 | 0.5235 | 0.5994 | 0.7742 |
No log | 4.7925 | 254 | 0.5840 | 0.5516 | 0.5840 | 0.7642 |
No log | 4.8302 | 256 | 0.5832 | 0.4984 | 0.5832 | 0.7637 |
No log | 4.8679 | 258 | 0.6170 | 0.5123 | 0.6170 | 0.7855 |
No log | 4.9057 | 260 | 0.6192 | 0.5171 | 0.6192 | 0.7869 |
No log | 4.9434 | 262 | 0.5952 | 0.4888 | 0.5952 | 0.7715 |
No log | 4.9811 | 264 | 0.6239 | 0.4904 | 0.6239 | 0.7899 |
No log | 5.0189 | 266 | 0.6255 | 0.4834 | 0.6255 | 0.7909 |
No log | 5.0566 | 268 | 0.6387 | 0.5334 | 0.6387 | 0.7992 |
No log | 5.0943 | 270 | 0.7539 | 0.5007 | 0.7539 | 0.8683 |
No log | 5.1321 | 272 | 0.7486 | 0.4127 | 0.7486 | 0.8652 |
No log | 5.1698 | 274 | 0.6680 | 0.4474 | 0.6680 | 0.8173 |
No log | 5.2075 | 276 | 0.6356 | 0.4474 | 0.6356 | 0.7973 |
No log | 5.2453 | 278 | 0.6601 | 0.4226 | 0.6601 | 0.8124 |
No log | 5.2830 | 280 | 0.6381 | 0.4611 | 0.6381 | 0.7988 |
No log | 5.3208 | 282 | 0.6605 | 0.5173 | 0.6605 | 0.8127 |
No log | 5.3585 | 284 | 0.6874 | 0.4658 | 0.6874 | 0.8291 |
No log | 5.3962 | 286 | 0.6159 | 0.4963 | 0.6159 | 0.7848 |
No log | 5.4340 | 288 | 0.6020 | 0.4674 | 0.6020 | 0.7759 |
No log | 5.4717 | 290 | 0.7295 | 0.4550 | 0.7295 | 0.8541 |
No log | 5.5094 | 292 | 0.7469 | 0.4562 | 0.7469 | 0.8642 |
No log | 5.5472 | 294 | 0.6272 | 0.5060 | 0.6272 | 0.7920 |
No log | 5.5849 | 296 | 0.6024 | 0.5218 | 0.6024 | 0.7762 |
No log | 5.6226 | 298 | 0.6047 | 0.5017 | 0.6047 | 0.7776 |
No log | 5.6604 | 300 | 0.6065 | 0.4053 | 0.6065 | 0.7788 |
No log | 5.6981 | 302 | 0.5980 | 0.4755 | 0.5980 | 0.7733 |
No log | 5.7358 | 304 | 0.6121 | 0.4759 | 0.6121 | 0.7824 |
No log | 5.7736 | 306 | 0.6226 | 0.4882 | 0.6226 | 0.7890 |
No log | 5.8113 | 308 | 0.6701 | 0.4971 | 0.6701 | 0.8186 |
No log | 5.8491 | 310 | 0.6810 | 0.4996 | 0.6810 | 0.8252 |
No log | 5.8868 | 312 | 0.6513 | 0.4843 | 0.6513 | 0.8070 |
No log | 5.9245 | 314 | 0.6432 | 0.4677 | 0.6432 | 0.8020 |
No log | 5.9623 | 316 | 0.6509 | 0.4355 | 0.6509 | 0.8068 |
No log | 6.0 | 318 | 0.6675 | 0.4930 | 0.6675 | 0.8170 |
No log | 6.0377 | 320 | 0.7117 | 0.5032 | 0.7117 | 0.8437 |
No log | 6.0755 | 322 | 0.6845 | 0.4825 | 0.6845 | 0.8273 |
No log | 6.1132 | 324 | 0.6759 | 0.5005 | 0.6759 | 0.8221 |
No log | 6.1509 | 326 | 0.6680 | 0.5258 | 0.6680 | 0.8173 |
No log | 6.1887 | 328 | 0.6722 | 0.4514 | 0.6722 | 0.8199 |
No log | 6.2264 | 330 | 0.6913 | 0.4435 | 0.6913 | 0.8315 |
No log | 6.2642 | 332 | 0.6382 | 0.4820 | 0.6382 | 0.7989 |
No log | 6.3019 | 334 | 0.6379 | 0.4792 | 0.6379 | 0.7987 |
No log | 6.3396 | 336 | 0.6310 | 0.5140 | 0.6310 | 0.7944 |
No log | 6.3774 | 338 | 0.6342 | 0.4730 | 0.6342 | 0.7964 |
No log | 6.4151 | 340 | 0.6355 | 0.4514 | 0.6355 | 0.7972 |
No log | 6.4528 | 342 | 0.6860 | 0.4339 | 0.6860 | 0.8283 |
No log | 6.4906 | 344 | 0.6721 | 0.4722 | 0.6721 | 0.8198 |
No log | 6.5283 | 346 | 0.6503 | 0.4353 | 0.6503 | 0.8064 |
No log | 6.5660 | 348 | 0.6552 | 0.4583 | 0.6552 | 0.8094 |
No log | 6.6038 | 350 | 0.6449 | 0.4547 | 0.6449 | 0.8030 |
No log | 6.6415 | 352 | 0.6387 | 0.4366 | 0.6387 | 0.7992 |
No log | 6.6792 | 354 | 0.6175 | 0.4252 | 0.6175 | 0.7858 |
No log | 6.7170 | 356 | 0.6005 | 0.4524 | 0.6005 | 0.7749 |
No log | 6.7547 | 358 | 0.6276 | 0.4586 | 0.6276 | 0.7922 |
No log | 6.7925 | 360 | 0.6632 | 0.4716 | 0.6632 | 0.8144 |
No log | 6.8302 | 362 | 0.6188 | 0.4489 | 0.6188 | 0.7866 |
No log | 6.8679 | 364 | 0.6176 | 0.4390 | 0.6176 | 0.7859 |
No log | 6.9057 | 366 | 0.6296 | 0.4700 | 0.6296 | 0.7935 |
No log | 6.9434 | 368 | 0.6506 | 0.4755 | 0.6506 | 0.8066 |
No log | 6.9811 | 370 | 0.6478 | 0.4971 | 0.6478 | 0.8048 |
No log | 7.0189 | 372 | 0.6154 | 0.4371 | 0.6154 | 0.7845 |
No log | 7.0566 | 374 | 0.6140 | 0.4801 | 0.6140 | 0.7836 |
No log | 7.0943 | 376 | 0.6075 | 0.4788 | 0.6075 | 0.7794 |
No log | 7.1321 | 378 | 0.5874 | 0.4311 | 0.5874 | 0.7664 |
No log | 7.1698 | 380 | 0.6298 | 0.4579 | 0.6298 | 0.7936 |
No log | 7.2075 | 382 | 0.7025 | 0.4078 | 0.7025 | 0.8382 |
No log | 7.2453 | 384 | 0.6519 | 0.4589 | 0.6519 | 0.8074 |
No log | 7.2830 | 386 | 0.6032 | 0.4363 | 0.6032 | 0.7767 |
No log | 7.3208 | 388 | 0.6481 | 0.5196 | 0.6481 | 0.8051 |
No log | 7.3585 | 390 | 0.6342 | 0.5397 | 0.6342 | 0.7963 |
No log | 7.3962 | 392 | 0.6035 | 0.4966 | 0.6035 | 0.7769 |
No log | 7.4340 | 394 | 0.6074 | 0.5306 | 0.6074 | 0.7793 |
No log | 7.4717 | 396 | 0.6102 | 0.5158 | 0.6102 | 0.7811 |
No log | 7.5094 | 398 | 0.6022 | 0.5333 | 0.6022 | 0.7760 |
No log | 7.5472 | 400 | 0.5871 | 0.4770 | 0.5871 | 0.7662 |
No log | 7.5849 | 402 | 0.5914 | 0.4426 | 0.5914 | 0.7690 |
No log | 7.6226 | 404 | 0.5868 | 0.4207 | 0.5868 | 0.7660 |
No log | 7.6604 | 406 | 0.6010 | 0.4370 | 0.6010 | 0.7752 |
No log | 7.6981 | 408 | 0.6733 | 0.4835 | 0.6733 | 0.8205 |
No log | 7.7358 | 410 | 0.7155 | 0.4876 | 0.7155 | 0.8459 |
No log | 7.7736 | 412 | 0.6502 | 0.4741 | 0.6502 | 0.8063 |
No log | 7.8113 | 414 | 0.6236 | 0.4553 | 0.6236 | 0.7897 |
No log | 7.8491 | 416 | 0.6667 | 0.4968 | 0.6667 | 0.8165 |
No log | 7.8868 | 418 | 0.6655 | 0.4687 | 0.6655 | 0.8158 |
No log | 7.9245 | 420 | 0.6216 | 0.3917 | 0.6216 | 0.7884 |
No log | 7.9623 | 422 | 0.6077 | 0.4407 | 0.6077 | 0.7796 |
No log | 8.0 | 424 | 0.6730 | 0.3978 | 0.6730 | 0.8203 |
No log | 8.0377 | 426 | 0.6930 | 0.4078 | 0.6930 | 0.8324 |
No log | 8.0755 | 428 | 0.6349 | 0.4298 | 0.6349 | 0.7968 |
No log | 8.1132 | 430 | 0.5913 | 0.4177 | 0.5913 | 0.7689 |
No log | 8.1509 | 432 | 0.5926 | 0.4406 | 0.5926 | 0.7698 |
No log | 8.1887 | 434 | 0.5965 | 0.4539 | 0.5965 | 0.7723 |
No log | 8.2264 | 436 | 0.6234 | 0.4334 | 0.6234 | 0.7896 |
No log | 8.2642 | 438 | 0.6344 | 0.4542 | 0.6344 | 0.7965 |
No log | 8.3019 | 440 | 0.6239 | 0.4551 | 0.6239 | 0.7899 |
No log | 8.3396 | 442 | 0.6180 | 0.4592 | 0.6180 | 0.7861 |
No log | 8.3774 | 444 | 0.6139 | 0.4271 | 0.6139 | 0.7835 |
No log | 8.4151 | 446 | 0.6176 | 0.4241 | 0.6176 | 0.7859 |
No log | 8.4528 | 448 | 0.6414 | 0.4472 | 0.6414 | 0.8009 |
No log | 8.4906 | 450 | 0.6256 | 0.4337 | 0.6256 | 0.7909 |
No log | 8.5283 | 452 | 0.6187 | 0.4529 | 0.6187 | 0.7866 |
No log | 8.5660 | 454 | 0.6632 | 0.5039 | 0.6632 | 0.8144 |
No log | 8.6038 | 456 | 0.6739 | 0.4872 | 0.6739 | 0.8209 |
No log | 8.6415 | 458 | 0.6255 | 0.4872 | 0.6255 | 0.7909 |
No log | 8.6792 | 460 | 0.6528 | 0.4481 | 0.6528 | 0.8080 |
No log | 8.7170 | 462 | 0.7071 | 0.4371 | 0.7071 | 0.8409 |
No log | 8.7547 | 464 | 0.6679 | 0.4399 | 0.6679 | 0.8173 |
No log | 8.7925 | 466 | 0.6106 | 0.4302 | 0.6106 | 0.7814 |
No log | 8.8302 | 468 | 0.6646 | 0.4882 | 0.6646 | 0.8152 |
No log | 8.8679 | 470 | 0.6825 | 0.4945 | 0.6825 | 0.8261 |
No log | 8.9057 | 472 | 0.6391 | 0.4273 | 0.6391 | 0.7994 |
No log | 8.9434 | 474 | 0.6348 | 0.4528 | 0.6348 | 0.7967 |
No log | 8.9811 | 476 | 0.6838 | 0.4357 | 0.6838 | 0.8269 |
No log | 9.0189 | 478 | 0.6704 | 0.4275 | 0.6704 | 0.8188 |
No log | 9.0566 | 480 | 0.6392 | 0.4174 | 0.6392 | 0.7995 |
No log | 9.0943 | 482 | 0.6417 | 0.4601 | 0.6417 | 0.8010 |
No log | 9.1321 | 484 | 0.6398 | 0.4291 | 0.6398 | 0.7998 |
No log | 9.1698 | 486 | 0.6296 | 0.4038 | 0.6296 | 0.7935 |
No log | 9.2075 | 488 | 0.6407 | 0.4447 | 0.6407 | 0.8004 |
No log | 9.2453 | 490 | 0.6381 | 0.4514 | 0.6381 | 0.7988 |
No log | 9.2830 | 492 | 0.6400 | 0.4514 | 0.6400 | 0.8000 |
No log | 9.3208 | 494 | 0.6468 | 0.4579 | 0.6468 | 0.8042 |
No log | 9.3585 | 496 | 0.6354 | 0.4465 | 0.6354 | 0.7971 |
No log | 9.3962 | 498 | 0.6557 | 0.4476 | 0.6557 | 0.8098 |
0.4152 | 9.4340 | 500 | 0.6660 | 0.4499 | 0.6660 | 0.8161 |
0.4152 | 9.4717 | 502 | 0.6704 | 0.4406 | 0.6704 | 0.8188 |
0.4152 | 9.5094 | 504 | 0.7284 | 0.4844 | 0.7284 | 0.8535 |
0.4152 | 9.5472 | 506 | 0.7666 | 0.4267 | 0.7666 | 0.8756 |
0.4152 | 9.5849 | 508 | 0.7002 | 0.4808 | 0.7002 | 0.8368 |
0.4152 | 9.6226 | 510 | 0.6518 | 0.4188 | 0.6518 | 0.8073 |
0.4152 | 9.6604 | 512 | 0.6437 | 0.4579 | 0.6437 | 0.8023 |
0.4152 | 9.6981 | 514 | 0.6340 | 0.4418 | 0.6340 | 0.7962 |
0.4152 | 9.7358 | 516 | 0.6602 | 0.4211 | 0.6602 | 0.8126 |
0.4152 | 9.7736 | 518 | 0.7127 | 0.4014 | 0.7127 | 0.8442 |
0.4152 | 9.8113 | 520 | 0.7329 | 0.4045 | 0.7329 | 0.8561 |
0.4152 | 9.8491 | 522 | 0.6844 | 0.4299 | 0.6844 | 0.8273 |
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_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02