ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_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: 0.6235
- Qwk: 0.4630
- Mse: 0.6235
- Rmse: 0.7896
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 | 0.0194 | 2 | 4.5725 | -0.0101 | 4.5725 | 2.1383 |
No log | 0.0388 | 4 | 3.0066 | 0.0136 | 3.0066 | 1.7340 |
No log | 0.0583 | 6 | 1.5657 | 0.0388 | 1.5657 | 1.2513 |
No log | 0.0777 | 8 | 1.2767 | 0.0006 | 1.2767 | 1.1299 |
No log | 0.0971 | 10 | 1.2069 | -0.0229 | 1.2069 | 1.0986 |
No log | 0.1165 | 12 | 1.1111 | -0.1210 | 1.1111 | 1.0541 |
No log | 0.1359 | 14 | 0.9557 | -0.0099 | 0.9557 | 0.9776 |
No log | 0.1553 | 16 | 0.8730 | 0.1430 | 0.8730 | 0.9343 |
No log | 0.1748 | 18 | 0.8481 | 0.2110 | 0.8481 | 0.9209 |
No log | 0.1942 | 20 | 0.8233 | 0.2231 | 0.8233 | 0.9074 |
No log | 0.2136 | 22 | 0.8361 | 0.1983 | 0.8361 | 0.9144 |
No log | 0.2330 | 24 | 0.8986 | 0.1429 | 0.8986 | 0.9479 |
No log | 0.2524 | 26 | 0.9921 | 0.1528 | 0.9921 | 0.9961 |
No log | 0.2718 | 28 | 1.0946 | 0.0889 | 1.0946 | 1.0462 |
No log | 0.2913 | 30 | 1.2825 | 0.0352 | 1.2825 | 1.1325 |
No log | 0.3107 | 32 | 1.3892 | 0.0411 | 1.3892 | 1.1786 |
No log | 0.3301 | 34 | 1.1594 | 0.1516 | 1.1594 | 1.0768 |
No log | 0.3495 | 36 | 1.0615 | 0.1815 | 1.0615 | 1.0303 |
No log | 0.3689 | 38 | 1.0249 | 0.2111 | 1.0249 | 1.0124 |
No log | 0.3883 | 40 | 1.0166 | 0.1653 | 1.0166 | 1.0083 |
No log | 0.4078 | 42 | 0.9335 | 0.1671 | 0.9335 | 0.9662 |
No log | 0.4272 | 44 | 0.8300 | 0.2097 | 0.8300 | 0.9110 |
No log | 0.4466 | 46 | 0.7057 | 0.3476 | 0.7057 | 0.8401 |
No log | 0.4660 | 48 | 0.6860 | 0.3874 | 0.6860 | 0.8283 |
No log | 0.4854 | 50 | 0.6934 | 0.3096 | 0.6934 | 0.8327 |
No log | 0.5049 | 52 | 0.7051 | 0.2957 | 0.7051 | 0.8397 |
No log | 0.5243 | 54 | 0.7641 | 0.2339 | 0.7641 | 0.8741 |
No log | 0.5437 | 56 | 0.8437 | 0.1603 | 0.8437 | 0.9186 |
No log | 0.5631 | 58 | 0.8470 | 0.2421 | 0.8470 | 0.9203 |
No log | 0.5825 | 60 | 0.8444 | 0.2446 | 0.8444 | 0.9189 |
No log | 0.6019 | 62 | 0.8182 | 0.2805 | 0.8182 | 0.9046 |
No log | 0.6214 | 64 | 0.7412 | 0.3301 | 0.7412 | 0.8609 |
No log | 0.6408 | 66 | 0.7115 | 0.3436 | 0.7115 | 0.8435 |
No log | 0.6602 | 68 | 0.6844 | 0.4048 | 0.6844 | 0.8273 |
No log | 0.6796 | 70 | 0.6871 | 0.4155 | 0.6871 | 0.8289 |
No log | 0.6990 | 72 | 0.7701 | 0.3403 | 0.7701 | 0.8776 |
No log | 0.7184 | 74 | 0.9350 | 0.2006 | 0.9350 | 0.9669 |
No log | 0.7379 | 76 | 1.3180 | 0.0661 | 1.3180 | 1.1480 |
No log | 0.7573 | 78 | 1.4866 | 0.0318 | 1.4866 | 1.2193 |
No log | 0.7767 | 80 | 1.0595 | 0.1426 | 1.0595 | 1.0293 |
No log | 0.7961 | 82 | 0.7222 | 0.3529 | 0.7222 | 0.8498 |
No log | 0.8155 | 84 | 0.6588 | 0.4368 | 0.6588 | 0.8117 |
No log | 0.8350 | 86 | 0.7836 | 0.3926 | 0.7836 | 0.8852 |
No log | 0.8544 | 88 | 0.8189 | 0.3883 | 0.8189 | 0.9049 |
No log | 0.8738 | 90 | 0.7500 | 0.4510 | 0.7500 | 0.8660 |
No log | 0.8932 | 92 | 0.6780 | 0.4743 | 0.6780 | 0.8234 |
No log | 0.9126 | 94 | 0.6581 | 0.4480 | 0.6581 | 0.8112 |
No log | 0.9320 | 96 | 0.6561 | 0.4618 | 0.6561 | 0.8100 |
No log | 0.9515 | 98 | 0.6794 | 0.4563 | 0.6794 | 0.8243 |
No log | 0.9709 | 100 | 0.6944 | 0.3959 | 0.6944 | 0.8333 |
No log | 0.9903 | 102 | 0.6008 | 0.4742 | 0.6008 | 0.7751 |
No log | 1.0097 | 104 | 0.6806 | 0.4350 | 0.6806 | 0.8250 |
No log | 1.0291 | 106 | 0.7232 | 0.4076 | 0.7232 | 0.8504 |
No log | 1.0485 | 108 | 0.6671 | 0.4315 | 0.6671 | 0.8168 |
No log | 1.0680 | 110 | 0.6227 | 0.4605 | 0.6227 | 0.7891 |
No log | 1.0874 | 112 | 0.5851 | 0.4759 | 0.5851 | 0.7649 |
No log | 1.1068 | 114 | 0.6052 | 0.4912 | 0.6052 | 0.7779 |
No log | 1.1262 | 116 | 0.5904 | 0.4798 | 0.5904 | 0.7683 |
No log | 1.1456 | 118 | 0.5806 | 0.5103 | 0.5806 | 0.7620 |
No log | 1.1650 | 120 | 0.5953 | 0.4768 | 0.5953 | 0.7716 |
No log | 1.1845 | 122 | 0.6096 | 0.3858 | 0.6096 | 0.7808 |
No log | 1.2039 | 124 | 0.6104 | 0.4715 | 0.6104 | 0.7813 |
No log | 1.2233 | 126 | 0.6016 | 0.4598 | 0.6016 | 0.7756 |
No log | 1.2427 | 128 | 0.6012 | 0.4523 | 0.6012 | 0.7754 |
No log | 1.2621 | 130 | 0.5987 | 0.5303 | 0.5987 | 0.7738 |
No log | 1.2816 | 132 | 0.6576 | 0.5444 | 0.6576 | 0.8109 |
No log | 1.3010 | 134 | 0.7865 | 0.4025 | 0.7865 | 0.8869 |
No log | 1.3204 | 136 | 0.7096 | 0.5130 | 0.7096 | 0.8424 |
No log | 1.3398 | 138 | 0.6632 | 0.5438 | 0.6632 | 0.8144 |
No log | 1.3592 | 140 | 0.6400 | 0.5837 | 0.6400 | 0.8000 |
No log | 1.3786 | 142 | 0.6262 | 0.5570 | 0.6262 | 0.7913 |
No log | 1.3981 | 144 | 0.6443 | 0.4786 | 0.6443 | 0.8027 |
No log | 1.4175 | 146 | 0.6744 | 0.4781 | 0.6744 | 0.8212 |
No log | 1.4369 | 148 | 0.7384 | 0.4916 | 0.7384 | 0.8593 |
No log | 1.4563 | 150 | 0.7408 | 0.4337 | 0.7408 | 0.8607 |
No log | 1.4757 | 152 | 0.7076 | 0.4585 | 0.7076 | 0.8412 |
No log | 1.4951 | 154 | 0.6756 | 0.4260 | 0.6756 | 0.8220 |
No log | 1.5146 | 156 | 0.6835 | 0.3826 | 0.6835 | 0.8267 |
No log | 1.5340 | 158 | 0.6851 | 0.3324 | 0.6851 | 0.8277 |
No log | 1.5534 | 160 | 0.7218 | 0.4038 | 0.7218 | 0.8496 |
No log | 1.5728 | 162 | 0.8826 | 0.3757 | 0.8826 | 0.9394 |
No log | 1.5922 | 164 | 0.8438 | 0.3966 | 0.8438 | 0.9186 |
No log | 1.6117 | 166 | 0.7252 | 0.4911 | 0.7252 | 0.8516 |
No log | 1.6311 | 168 | 0.6667 | 0.4628 | 0.6667 | 0.8165 |
No log | 1.6505 | 170 | 0.6846 | 0.4514 | 0.6846 | 0.8274 |
No log | 1.6699 | 172 | 0.6683 | 0.4512 | 0.6683 | 0.8175 |
No log | 1.6893 | 174 | 0.6892 | 0.5138 | 0.6892 | 0.8302 |
No log | 1.7087 | 176 | 0.8026 | 0.4427 | 0.8026 | 0.8959 |
No log | 1.7282 | 178 | 0.7905 | 0.4298 | 0.7905 | 0.8891 |
No log | 1.7476 | 180 | 0.7270 | 0.4743 | 0.7270 | 0.8526 |
No log | 1.7670 | 182 | 0.7024 | 0.4969 | 0.7024 | 0.8381 |
No log | 1.7864 | 184 | 0.6706 | 0.5167 | 0.6706 | 0.8189 |
No log | 1.8058 | 186 | 0.6757 | 0.4116 | 0.6757 | 0.8220 |
No log | 1.8252 | 188 | 0.6682 | 0.3941 | 0.6682 | 0.8174 |
No log | 1.8447 | 190 | 0.7087 | 0.4628 | 0.7087 | 0.8419 |
No log | 1.8641 | 192 | 0.6990 | 0.4455 | 0.6990 | 0.8360 |
No log | 1.8835 | 194 | 0.6465 | 0.4189 | 0.6465 | 0.8041 |
No log | 1.9029 | 196 | 0.6353 | 0.4181 | 0.6353 | 0.7970 |
No log | 1.9223 | 198 | 0.6473 | 0.4440 | 0.6473 | 0.8046 |
No log | 1.9417 | 200 | 0.6759 | 0.4664 | 0.6759 | 0.8221 |
No log | 1.9612 | 202 | 0.6653 | 0.4577 | 0.6653 | 0.8157 |
No log | 1.9806 | 204 | 0.6238 | 0.4463 | 0.6238 | 0.7898 |
No log | 2.0 | 206 | 0.6052 | 0.4360 | 0.6052 | 0.7780 |
No log | 2.0194 | 208 | 0.6151 | 0.4666 | 0.6151 | 0.7843 |
No log | 2.0388 | 210 | 0.6850 | 0.4946 | 0.6850 | 0.8276 |
No log | 2.0583 | 212 | 0.7498 | 0.4187 | 0.7498 | 0.8659 |
No log | 2.0777 | 214 | 0.6535 | 0.4739 | 0.6535 | 0.8084 |
No log | 2.0971 | 216 | 0.6043 | 0.4717 | 0.6043 | 0.7774 |
No log | 2.1165 | 218 | 0.6093 | 0.3819 | 0.6093 | 0.7806 |
No log | 2.1359 | 220 | 0.6111 | 0.4798 | 0.6111 | 0.7817 |
No log | 2.1553 | 222 | 0.6842 | 0.5016 | 0.6842 | 0.8272 |
No log | 2.1748 | 224 | 0.7012 | 0.5042 | 0.7012 | 0.8374 |
No log | 2.1942 | 226 | 0.6827 | 0.4709 | 0.6827 | 0.8263 |
No log | 2.2136 | 228 | 0.6303 | 0.5456 | 0.6303 | 0.7939 |
No log | 2.2330 | 230 | 0.6310 | 0.5322 | 0.6310 | 0.7944 |
No log | 2.2524 | 232 | 0.6304 | 0.5347 | 0.6304 | 0.7940 |
No log | 2.2718 | 234 | 0.6360 | 0.4983 | 0.6360 | 0.7975 |
No log | 2.2913 | 236 | 0.6290 | 0.4888 | 0.6290 | 0.7931 |
No log | 2.3107 | 238 | 0.6211 | 0.4770 | 0.6211 | 0.7881 |
No log | 2.3301 | 240 | 0.6215 | 0.4151 | 0.6215 | 0.7884 |
No log | 2.3495 | 242 | 0.6275 | 0.4173 | 0.6275 | 0.7921 |
No log | 2.3689 | 244 | 0.6377 | 0.4181 | 0.6377 | 0.7986 |
No log | 2.3883 | 246 | 0.6527 | 0.4395 | 0.6527 | 0.8079 |
No log | 2.4078 | 248 | 0.6359 | 0.4539 | 0.6359 | 0.7975 |
No log | 2.4272 | 250 | 0.6242 | 0.4887 | 0.6242 | 0.7900 |
No log | 2.4466 | 252 | 0.6112 | 0.4977 | 0.6112 | 0.7818 |
No log | 2.4660 | 254 | 0.6182 | 0.5224 | 0.6182 | 0.7863 |
No log | 2.4854 | 256 | 0.6617 | 0.5230 | 0.6617 | 0.8134 |
No log | 2.5049 | 258 | 0.7562 | 0.5302 | 0.7562 | 0.8696 |
No log | 2.5243 | 260 | 0.6974 | 0.5195 | 0.6974 | 0.8351 |
No log | 2.5437 | 262 | 0.6282 | 0.4856 | 0.6282 | 0.7926 |
No log | 2.5631 | 264 | 0.6905 | 0.4206 | 0.6905 | 0.8310 |
No log | 2.5825 | 266 | 0.6468 | 0.4581 | 0.6468 | 0.8042 |
No log | 2.6019 | 268 | 0.6020 | 0.4938 | 0.6020 | 0.7759 |
No log | 2.6214 | 270 | 0.6064 | 0.5142 | 0.6064 | 0.7787 |
No log | 2.6408 | 272 | 0.6080 | 0.5328 | 0.6080 | 0.7797 |
No log | 2.6602 | 274 | 0.5723 | 0.5222 | 0.5723 | 0.7565 |
No log | 2.6796 | 276 | 0.5651 | 0.5261 | 0.5651 | 0.7517 |
No log | 2.6990 | 278 | 0.5809 | 0.5486 | 0.5809 | 0.7621 |
No log | 2.7184 | 280 | 0.6179 | 0.5234 | 0.6179 | 0.7861 |
No log | 2.7379 | 282 | 0.6129 | 0.5588 | 0.6129 | 0.7829 |
No log | 2.7573 | 284 | 0.5837 | 0.5509 | 0.5837 | 0.7640 |
No log | 2.7767 | 286 | 0.5878 | 0.5750 | 0.5878 | 0.7667 |
No log | 2.7961 | 288 | 0.5897 | 0.5858 | 0.5897 | 0.7679 |
No log | 2.8155 | 290 | 0.5805 | 0.5837 | 0.5805 | 0.7619 |
No log | 2.8350 | 292 | 0.5807 | 0.5128 | 0.5807 | 0.7620 |
No log | 2.8544 | 294 | 0.6052 | 0.4953 | 0.6052 | 0.7779 |
No log | 2.8738 | 296 | 0.6585 | 0.4855 | 0.6585 | 0.8115 |
No log | 2.8932 | 298 | 0.6439 | 0.5262 | 0.6439 | 0.8024 |
No log | 2.9126 | 300 | 0.6080 | 0.4857 | 0.6080 | 0.7797 |
No log | 2.9320 | 302 | 0.6082 | 0.5343 | 0.6082 | 0.7798 |
No log | 2.9515 | 304 | 0.6182 | 0.6069 | 0.6182 | 0.7863 |
No log | 2.9709 | 306 | 0.6489 | 0.5207 | 0.6489 | 0.8055 |
No log | 2.9903 | 308 | 0.6454 | 0.5344 | 0.6454 | 0.8034 |
No log | 3.0097 | 310 | 0.6683 | 0.5289 | 0.6683 | 0.8175 |
No log | 3.0291 | 312 | 0.7070 | 0.5383 | 0.7070 | 0.8409 |
No log | 3.0485 | 314 | 0.6539 | 0.5370 | 0.6539 | 0.8086 |
No log | 3.0680 | 316 | 0.6320 | 0.4770 | 0.6320 | 0.7950 |
No log | 3.0874 | 318 | 0.6184 | 0.4540 | 0.6184 | 0.7864 |
No log | 3.1068 | 320 | 0.6154 | 0.4421 | 0.6154 | 0.7844 |
No log | 3.1262 | 322 | 0.6004 | 0.4582 | 0.6004 | 0.7748 |
No log | 3.1456 | 324 | 0.6246 | 0.4507 | 0.6246 | 0.7903 |
No log | 3.1650 | 326 | 0.7071 | 0.4399 | 0.7071 | 0.8409 |
No log | 3.1845 | 328 | 0.6820 | 0.4524 | 0.6820 | 0.8258 |
No log | 3.2039 | 330 | 0.6095 | 0.4804 | 0.6095 | 0.7807 |
No log | 3.2233 | 332 | 0.5813 | 0.4546 | 0.5813 | 0.7624 |
No log | 3.2427 | 334 | 0.6576 | 0.4366 | 0.6576 | 0.8109 |
No log | 3.2621 | 336 | 0.6976 | 0.4023 | 0.6976 | 0.8352 |
No log | 3.2816 | 338 | 0.6308 | 0.4279 | 0.6308 | 0.7942 |
No log | 3.3010 | 340 | 0.5719 | 0.5117 | 0.5719 | 0.7562 |
No log | 3.3204 | 342 | 0.5626 | 0.5347 | 0.5626 | 0.7501 |
No log | 3.3398 | 344 | 0.5833 | 0.5654 | 0.5833 | 0.7638 |
No log | 3.3592 | 346 | 0.6174 | 0.5395 | 0.6174 | 0.7857 |
No log | 3.3786 | 348 | 0.6616 | 0.4818 | 0.6616 | 0.8134 |
No log | 3.3981 | 350 | 0.6373 | 0.5056 | 0.6373 | 0.7983 |
No log | 3.4175 | 352 | 0.6018 | 0.5434 | 0.6018 | 0.7757 |
No log | 3.4369 | 354 | 0.5940 | 0.5345 | 0.5940 | 0.7707 |
No log | 3.4563 | 356 | 0.5923 | 0.5566 | 0.5923 | 0.7696 |
No log | 3.4757 | 358 | 0.6339 | 0.4610 | 0.6339 | 0.7962 |
No log | 3.4951 | 360 | 0.7272 | 0.4283 | 0.7272 | 0.8528 |
No log | 3.5146 | 362 | 0.6838 | 0.4569 | 0.6838 | 0.8269 |
No log | 3.5340 | 364 | 0.6761 | 0.4916 | 0.6761 | 0.8222 |
No log | 3.5534 | 366 | 0.6390 | 0.5215 | 0.6390 | 0.7994 |
No log | 3.5728 | 368 | 0.6279 | 0.5126 | 0.6279 | 0.7924 |
No log | 3.5922 | 370 | 0.6369 | 0.5102 | 0.6369 | 0.7981 |
No log | 3.6117 | 372 | 0.6121 | 0.4893 | 0.6121 | 0.7824 |
No log | 3.6311 | 374 | 0.6001 | 0.4998 | 0.6001 | 0.7747 |
No log | 3.6505 | 376 | 0.5947 | 0.4998 | 0.5947 | 0.7712 |
No log | 3.6699 | 378 | 0.5783 | 0.5270 | 0.5783 | 0.7604 |
No log | 3.6893 | 380 | 0.5794 | 0.4819 | 0.5794 | 0.7612 |
No log | 3.7087 | 382 | 0.5744 | 0.5264 | 0.5744 | 0.7579 |
No log | 3.7282 | 384 | 0.5728 | 0.5640 | 0.5728 | 0.7569 |
No log | 3.7476 | 386 | 0.6228 | 0.5691 | 0.6228 | 0.7892 |
No log | 3.7670 | 388 | 0.6268 | 0.5341 | 0.6268 | 0.7917 |
No log | 3.7864 | 390 | 0.6024 | 0.4942 | 0.6024 | 0.7761 |
No log | 3.8058 | 392 | 0.6670 | 0.4739 | 0.6670 | 0.8167 |
No log | 3.8252 | 394 | 0.6725 | 0.4835 | 0.6725 | 0.8200 |
No log | 3.8447 | 396 | 0.6095 | 0.4779 | 0.6095 | 0.7807 |
No log | 3.8641 | 398 | 0.5717 | 0.5161 | 0.5717 | 0.7561 |
No log | 3.8835 | 400 | 0.5655 | 0.5034 | 0.5655 | 0.7520 |
No log | 3.9029 | 402 | 0.5856 | 0.4847 | 0.5856 | 0.7653 |
No log | 3.9223 | 404 | 0.6292 | 0.4714 | 0.6292 | 0.7932 |
No log | 3.9417 | 406 | 0.6177 | 0.4743 | 0.6177 | 0.7859 |
No log | 3.9612 | 408 | 0.5915 | 0.4840 | 0.5915 | 0.7691 |
No log | 3.9806 | 410 | 0.5792 | 0.5601 | 0.5792 | 0.7610 |
No log | 4.0 | 412 | 0.6271 | 0.5358 | 0.6271 | 0.7919 |
No log | 4.0194 | 414 | 0.6406 | 0.5236 | 0.6406 | 0.8004 |
No log | 4.0388 | 416 | 0.5979 | 0.5561 | 0.5979 | 0.7732 |
No log | 4.0583 | 418 | 0.6106 | 0.4589 | 0.6106 | 0.7814 |
No log | 4.0777 | 420 | 0.6238 | 0.4591 | 0.6238 | 0.7898 |
No log | 4.0971 | 422 | 0.5953 | 0.5046 | 0.5953 | 0.7715 |
No log | 4.1165 | 424 | 0.5883 | 0.5395 | 0.5883 | 0.7670 |
No log | 4.1359 | 426 | 0.6233 | 0.5263 | 0.6233 | 0.7895 |
No log | 4.1553 | 428 | 0.6347 | 0.5438 | 0.6347 | 0.7967 |
No log | 4.1748 | 430 | 0.6334 | 0.5561 | 0.6334 | 0.7959 |
No log | 4.1942 | 432 | 0.6437 | 0.5017 | 0.6437 | 0.8023 |
No log | 4.2136 | 434 | 0.6806 | 0.5291 | 0.6806 | 0.8250 |
No log | 4.2330 | 436 | 0.7419 | 0.4655 | 0.7419 | 0.8613 |
No log | 4.2524 | 438 | 0.6837 | 0.4700 | 0.6837 | 0.8268 |
No log | 4.2718 | 440 | 0.6244 | 0.4345 | 0.6244 | 0.7902 |
No log | 4.2913 | 442 | 0.6452 | 0.4257 | 0.6452 | 0.8033 |
No log | 4.3107 | 444 | 0.6332 | 0.4600 | 0.6332 | 0.7958 |
No log | 4.3301 | 446 | 0.6138 | 0.4221 | 0.6138 | 0.7834 |
No log | 4.3495 | 448 | 0.6995 | 0.4519 | 0.6995 | 0.8364 |
No log | 4.3689 | 450 | 0.8418 | 0.3891 | 0.8418 | 0.9175 |
No log | 4.3883 | 452 | 0.8389 | 0.4058 | 0.8389 | 0.9159 |
No log | 4.4078 | 454 | 0.7105 | 0.4495 | 0.7105 | 0.8429 |
No log | 4.4272 | 456 | 0.6294 | 0.4409 | 0.6294 | 0.7933 |
No log | 4.4466 | 458 | 0.6195 | 0.5278 | 0.6195 | 0.7871 |
No log | 4.4660 | 460 | 0.6463 | 0.4500 | 0.6463 | 0.8039 |
No log | 4.4854 | 462 | 0.6093 | 0.4999 | 0.6093 | 0.7806 |
No log | 4.5049 | 464 | 0.5877 | 0.5056 | 0.5877 | 0.7666 |
No log | 4.5243 | 466 | 0.5956 | 0.4600 | 0.5956 | 0.7718 |
No log | 4.5437 | 468 | 0.6025 | 0.4724 | 0.6025 | 0.7762 |
No log | 4.5631 | 470 | 0.5816 | 0.5151 | 0.5816 | 0.7626 |
No log | 4.5825 | 472 | 0.5891 | 0.5164 | 0.5891 | 0.7675 |
No log | 4.6019 | 474 | 0.5916 | 0.5043 | 0.5916 | 0.7692 |
No log | 4.6214 | 476 | 0.5774 | 0.4916 | 0.5774 | 0.7599 |
No log | 4.6408 | 478 | 0.5820 | 0.4605 | 0.5820 | 0.7629 |
No log | 4.6602 | 480 | 0.5951 | 0.4447 | 0.5951 | 0.7714 |
No log | 4.6796 | 482 | 0.5983 | 0.4779 | 0.5983 | 0.7735 |
No log | 4.6990 | 484 | 0.5977 | 0.4514 | 0.5977 | 0.7731 |
No log | 4.7184 | 486 | 0.6009 | 0.4607 | 0.6009 | 0.7752 |
No log | 4.7379 | 488 | 0.6086 | 0.4139 | 0.6086 | 0.7801 |
No log | 4.7573 | 490 | 0.6073 | 0.4454 | 0.6073 | 0.7793 |
No log | 4.7767 | 492 | 0.6189 | 0.4875 | 0.6189 | 0.7867 |
No log | 4.7961 | 494 | 0.6172 | 0.5316 | 0.6172 | 0.7856 |
No log | 4.8155 | 496 | 0.6071 | 0.53 | 0.6071 | 0.7791 |
No log | 4.8350 | 498 | 0.6022 | 0.5452 | 0.6022 | 0.7760 |
0.3831 | 4.8544 | 500 | 0.6281 | 0.4706 | 0.6281 | 0.7926 |
0.3831 | 4.8738 | 502 | 0.6359 | 0.4792 | 0.6359 | 0.7974 |
0.3831 | 4.8932 | 504 | 0.6602 | 0.4606 | 0.6602 | 0.8125 |
0.3831 | 4.9126 | 506 | 0.6065 | 0.4404 | 0.6065 | 0.7788 |
0.3831 | 4.9320 | 508 | 0.5716 | 0.5304 | 0.5716 | 0.7560 |
0.3831 | 4.9515 | 510 | 0.5736 | 0.5168 | 0.5736 | 0.7573 |
0.3831 | 4.9709 | 512 | 0.5954 | 0.4232 | 0.5954 | 0.7716 |
0.3831 | 4.9903 | 514 | 0.6291 | 0.4374 | 0.6291 | 0.7931 |
0.3831 | 5.0097 | 516 | 0.6245 | 0.4639 | 0.6245 | 0.7903 |
0.3831 | 5.0291 | 518 | 0.5927 | 0.5459 | 0.5927 | 0.7698 |
0.3831 | 5.0485 | 520 | 0.6217 | 0.4729 | 0.6217 | 0.7885 |
0.3831 | 5.0680 | 522 | 0.6476 | 0.4811 | 0.6476 | 0.8047 |
0.3831 | 5.0874 | 524 | 0.6117 | 0.4542 | 0.6117 | 0.7821 |
0.3831 | 5.1068 | 526 | 0.5871 | 0.5285 | 0.5871 | 0.7662 |
0.3831 | 5.1262 | 528 | 0.6108 | 0.4853 | 0.6108 | 0.7815 |
0.3831 | 5.1456 | 530 | 0.6090 | 0.4535 | 0.6090 | 0.7804 |
0.3831 | 5.1650 | 532 | 0.6119 | 0.4535 | 0.6119 | 0.7822 |
0.3831 | 5.1845 | 534 | 0.6023 | 0.4661 | 0.6023 | 0.7761 |
0.3831 | 5.2039 | 536 | 0.5865 | 0.4717 | 0.5865 | 0.7658 |
0.3831 | 5.2233 | 538 | 0.5893 | 0.4677 | 0.5893 | 0.7677 |
0.3831 | 5.2427 | 540 | 0.6246 | 0.4385 | 0.6246 | 0.7903 |
0.3831 | 5.2621 | 542 | 0.6664 | 0.4564 | 0.6664 | 0.8163 |
0.3831 | 5.2816 | 544 | 0.6374 | 0.4448 | 0.6374 | 0.7984 |
0.3831 | 5.3010 | 546 | 0.6235 | 0.4630 | 0.6235 | 0.7896 |
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_run2_AugV5_k20_task2_organization
Base model
aubmindlab/bert-base-arabertv02