ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task7_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: 0.6456
- Qwk: 0.4314
- Mse: 0.6456
- Rmse: 0.8035
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 | 0.0220 | 2 | 2.7054 | -0.0262 | 2.7054 | 1.6448 |
| No log | 0.0440 | 4 | 1.4238 | 0.0991 | 1.4238 | 1.1932 |
| No log | 0.0659 | 6 | 1.2994 | -0.1759 | 1.2994 | 1.1399 |
| No log | 0.0879 | 8 | 1.2762 | -0.0450 | 1.2762 | 1.1297 |
| No log | 0.1099 | 10 | 1.4131 | -0.1138 | 1.4131 | 1.1887 |
| No log | 0.1319 | 12 | 1.5287 | -0.2085 | 1.5287 | 1.2364 |
| No log | 0.1538 | 14 | 1.4366 | -0.2199 | 1.4366 | 1.1986 |
| No log | 0.1758 | 16 | 1.1283 | 0.0288 | 1.1283 | 1.0622 |
| No log | 0.1978 | 18 | 0.9138 | 0.2171 | 0.9138 | 0.9559 |
| No log | 0.2198 | 20 | 0.8521 | 0.1648 | 0.8521 | 0.9231 |
| No log | 0.2418 | 22 | 0.8358 | 0.2407 | 0.8358 | 0.9142 |
| No log | 0.2637 | 24 | 0.7521 | 0.1807 | 0.7521 | 0.8672 |
| No log | 0.2857 | 26 | 0.7322 | 0.1807 | 0.7322 | 0.8557 |
| No log | 0.3077 | 28 | 0.6997 | 0.1922 | 0.6997 | 0.8365 |
| No log | 0.3297 | 30 | 0.7805 | 0.1685 | 0.7805 | 0.8835 |
| No log | 0.3516 | 32 | 0.8539 | 0.1650 | 0.8539 | 0.9241 |
| No log | 0.3736 | 34 | 0.8294 | 0.1318 | 0.8294 | 0.9107 |
| No log | 0.3956 | 36 | 0.8031 | 0.1637 | 0.8031 | 0.8961 |
| No log | 0.4176 | 38 | 0.8017 | 0.1285 | 0.8017 | 0.8954 |
| No log | 0.4396 | 40 | 0.7894 | 0.2031 | 0.7894 | 0.8885 |
| No log | 0.4615 | 42 | 0.7546 | 0.2813 | 0.7546 | 0.8687 |
| No log | 0.4835 | 44 | 0.7235 | 0.1236 | 0.7235 | 0.8506 |
| No log | 0.5055 | 46 | 0.7231 | 0.1359 | 0.7231 | 0.8504 |
| No log | 0.5275 | 48 | 0.7635 | 0.1672 | 0.7635 | 0.8738 |
| No log | 0.5495 | 50 | 0.8035 | 0.2574 | 0.8035 | 0.8964 |
| No log | 0.5714 | 52 | 0.8246 | 0.2574 | 0.8246 | 0.9081 |
| No log | 0.5934 | 54 | 0.9177 | 0.2670 | 0.9177 | 0.9580 |
| No log | 0.6154 | 56 | 0.8956 | 0.2726 | 0.8956 | 0.9464 |
| No log | 0.6374 | 58 | 0.7919 | 0.2632 | 0.7919 | 0.8899 |
| No log | 0.6593 | 60 | 0.6808 | 0.2537 | 0.6808 | 0.8251 |
| No log | 0.6813 | 62 | 0.6905 | 0.3143 | 0.6905 | 0.8310 |
| No log | 0.7033 | 64 | 0.6945 | 0.3143 | 0.6945 | 0.8334 |
| No log | 0.7253 | 66 | 0.6401 | 0.4298 | 0.6401 | 0.8000 |
| No log | 0.7473 | 68 | 0.6361 | 0.3813 | 0.6361 | 0.7976 |
| No log | 0.7692 | 70 | 0.6640 | 0.2817 | 0.6640 | 0.8149 |
| No log | 0.7912 | 72 | 0.6410 | 0.3738 | 0.6410 | 0.8006 |
| No log | 0.8132 | 74 | 0.6396 | 0.4278 | 0.6396 | 0.7998 |
| No log | 0.8352 | 76 | 0.6888 | 0.3196 | 0.6888 | 0.8299 |
| No log | 0.8571 | 78 | 0.6464 | 0.3196 | 0.6464 | 0.8040 |
| No log | 0.8791 | 80 | 0.6184 | 0.3782 | 0.6184 | 0.7864 |
| No log | 0.9011 | 82 | 0.6900 | 0.2950 | 0.6900 | 0.8307 |
| No log | 0.9231 | 84 | 0.8287 | 0.2558 | 0.8287 | 0.9103 |
| No log | 0.9451 | 86 | 0.9470 | 0.2204 | 0.9470 | 0.9731 |
| No log | 0.9670 | 88 | 0.9585 | 0.2932 | 0.9585 | 0.9790 |
| No log | 0.9890 | 90 | 0.9567 | 0.2871 | 0.9567 | 0.9781 |
| No log | 1.0110 | 92 | 0.9154 | 0.2995 | 0.9154 | 0.9568 |
| No log | 1.0330 | 94 | 0.8053 | 0.3127 | 0.8053 | 0.8974 |
| No log | 1.0549 | 96 | 0.8192 | 0.2261 | 0.8192 | 0.9051 |
| No log | 1.0769 | 98 | 0.9556 | 0.1636 | 0.9556 | 0.9776 |
| No log | 1.0989 | 100 | 1.1248 | 0.1899 | 1.1248 | 1.0606 |
| No log | 1.1209 | 102 | 1.3542 | 0.0191 | 1.3542 | 1.1637 |
| No log | 1.1429 | 104 | 1.3922 | 0.0371 | 1.3922 | 1.1799 |
| No log | 1.1648 | 106 | 1.3202 | 0.0515 | 1.3202 | 1.1490 |
| No log | 1.1868 | 108 | 1.2134 | 0.0585 | 1.2134 | 1.1016 |
| No log | 1.2088 | 110 | 1.0666 | 0.2615 | 1.0666 | 1.0328 |
| No log | 1.2308 | 112 | 0.9342 | 0.3231 | 0.9342 | 0.9665 |
| No log | 1.2527 | 114 | 0.8017 | 0.3105 | 0.8017 | 0.8954 |
| No log | 1.2747 | 116 | 0.6869 | 0.3011 | 0.6869 | 0.8288 |
| No log | 1.2967 | 118 | 0.6969 | 0.2685 | 0.6969 | 0.8348 |
| No log | 1.3187 | 120 | 0.8037 | 0.2692 | 0.8037 | 0.8965 |
| No log | 1.3407 | 122 | 0.9450 | 0.2463 | 0.9450 | 0.9721 |
| No log | 1.3626 | 124 | 0.9989 | 0.2410 | 0.9989 | 0.9995 |
| No log | 1.3846 | 126 | 0.9935 | 0.1254 | 0.9935 | 0.9968 |
| No log | 1.4066 | 128 | 0.9939 | 0.1822 | 0.9939 | 0.9969 |
| No log | 1.4286 | 130 | 1.0008 | 0.1940 | 1.0008 | 1.0004 |
| No log | 1.4505 | 132 | 0.9715 | 0.2387 | 0.9715 | 0.9857 |
| No log | 1.4725 | 134 | 0.8647 | 0.2547 | 0.8647 | 0.9299 |
| No log | 1.4945 | 136 | 0.7577 | 0.3060 | 0.7577 | 0.8705 |
| No log | 1.5165 | 138 | 0.7418 | 0.3127 | 0.7418 | 0.8613 |
| No log | 1.5385 | 140 | 0.7315 | 0.3127 | 0.7315 | 0.8553 |
| No log | 1.5604 | 142 | 0.7378 | 0.2883 | 0.7378 | 0.8589 |
| No log | 1.5824 | 144 | 0.7867 | 0.3032 | 0.7867 | 0.8870 |
| No log | 1.6044 | 146 | 0.9767 | 0.3236 | 0.9767 | 0.9883 |
| No log | 1.6264 | 148 | 1.2361 | 0.1917 | 1.2361 | 1.1118 |
| No log | 1.6484 | 150 | 1.2493 | 0.1995 | 1.2493 | 1.1177 |
| No log | 1.6703 | 152 | 1.0143 | 0.2781 | 1.0143 | 1.0071 |
| No log | 1.6923 | 154 | 0.9498 | 0.1487 | 0.9498 | 0.9746 |
| No log | 1.7143 | 156 | 0.9742 | 0.1208 | 0.9742 | 0.9870 |
| No log | 1.7363 | 158 | 0.8815 | 0.1141 | 0.8815 | 0.9389 |
| No log | 1.7582 | 160 | 0.8447 | 0.2817 | 0.8447 | 0.9191 |
| No log | 1.7802 | 162 | 0.8483 | 0.3099 | 0.8483 | 0.9210 |
| No log | 1.8022 | 164 | 0.8040 | 0.3099 | 0.8040 | 0.8966 |
| No log | 1.8242 | 166 | 0.7407 | 0.3020 | 0.7407 | 0.8606 |
| No log | 1.8462 | 168 | 0.6873 | 0.1775 | 0.6873 | 0.8291 |
| No log | 1.8681 | 170 | 0.7217 | 0.2015 | 0.7217 | 0.8495 |
| No log | 1.8901 | 172 | 0.7492 | 0.2642 | 0.7492 | 0.8656 |
| No log | 1.9121 | 174 | 0.7049 | 0.1961 | 0.7049 | 0.8396 |
| No log | 1.9341 | 176 | 0.7283 | 0.1686 | 0.7283 | 0.8534 |
| No log | 1.9560 | 178 | 0.8714 | 0.3329 | 0.8714 | 0.9335 |
| No log | 1.9780 | 180 | 0.9402 | 0.3167 | 0.9402 | 0.9696 |
| No log | 2.0 | 182 | 0.9174 | 0.1972 | 0.9174 | 0.9578 |
| No log | 2.0220 | 184 | 0.8466 | 0.1598 | 0.8466 | 0.9201 |
| No log | 2.0440 | 186 | 0.7991 | 0.1972 | 0.7991 | 0.8939 |
| No log | 2.0659 | 188 | 0.7734 | 0.2883 | 0.7734 | 0.8794 |
| No log | 2.0879 | 190 | 0.7743 | 0.3302 | 0.7743 | 0.8799 |
| No log | 2.1099 | 192 | 0.8506 | 0.3274 | 0.8506 | 0.9223 |
| No log | 2.1319 | 194 | 0.8340 | 0.3274 | 0.8340 | 0.9132 |
| No log | 2.1538 | 196 | 0.8322 | 0.4018 | 0.8322 | 0.9123 |
| No log | 2.1758 | 198 | 0.7408 | 0.4366 | 0.7408 | 0.8607 |
| No log | 2.1978 | 200 | 0.6365 | 0.4596 | 0.6365 | 0.7978 |
| No log | 2.2198 | 202 | 0.6518 | 0.3716 | 0.6518 | 0.8073 |
| No log | 2.2418 | 204 | 0.6483 | 0.3716 | 0.6483 | 0.8052 |
| No log | 2.2637 | 206 | 0.6257 | 0.4114 | 0.6257 | 0.7910 |
| No log | 2.2857 | 208 | 0.6743 | 0.4764 | 0.6743 | 0.8211 |
| No log | 2.3077 | 210 | 0.7317 | 0.4502 | 0.7317 | 0.8554 |
| No log | 2.3297 | 212 | 0.8466 | 0.4030 | 0.8466 | 0.9201 |
| No log | 2.3516 | 214 | 0.8628 | 0.3450 | 0.8628 | 0.9289 |
| No log | 2.3736 | 216 | 0.9034 | 0.3450 | 0.9034 | 0.9505 |
| No log | 2.3956 | 218 | 0.8751 | 0.3302 | 0.8751 | 0.9355 |
| No log | 2.4176 | 220 | 0.9132 | 0.4014 | 0.9132 | 0.9556 |
| No log | 2.4396 | 222 | 0.8168 | 0.4014 | 0.8168 | 0.9038 |
| No log | 2.4615 | 224 | 0.7093 | 0.4167 | 0.7093 | 0.8422 |
| No log | 2.4835 | 226 | 0.6127 | 0.4147 | 0.6127 | 0.7828 |
| No log | 2.5055 | 228 | 0.5911 | 0.5516 | 0.5911 | 0.7688 |
| No log | 2.5275 | 230 | 0.5572 | 0.4441 | 0.5572 | 0.7464 |
| No log | 2.5495 | 232 | 0.5784 | 0.5231 | 0.5784 | 0.7605 |
| No log | 2.5714 | 234 | 0.5820 | 0.5009 | 0.5820 | 0.7629 |
| No log | 2.5934 | 236 | 0.5714 | 0.5003 | 0.5714 | 0.7559 |
| No log | 2.6154 | 238 | 0.6021 | 0.5308 | 0.6021 | 0.7759 |
| No log | 2.6374 | 240 | 0.5967 | 0.5560 | 0.5967 | 0.7725 |
| No log | 2.6593 | 242 | 0.5952 | 0.5671 | 0.5952 | 0.7715 |
| No log | 2.6813 | 244 | 0.6210 | 0.4418 | 0.6210 | 0.7881 |
| No log | 2.7033 | 246 | 0.6881 | 0.4621 | 0.6881 | 0.8295 |
| No log | 2.7253 | 248 | 0.7061 | 0.4621 | 0.7061 | 0.8403 |
| No log | 2.7473 | 250 | 0.6240 | 0.4700 | 0.6240 | 0.7900 |
| No log | 2.7692 | 252 | 0.6478 | 0.4836 | 0.6478 | 0.8049 |
| No log | 2.7912 | 254 | 0.7759 | 0.3678 | 0.7759 | 0.8808 |
| No log | 2.8132 | 256 | 0.8089 | 0.3559 | 0.8089 | 0.8994 |
| No log | 2.8352 | 258 | 0.6882 | 0.4315 | 0.6882 | 0.8296 |
| No log | 2.8571 | 260 | 0.5887 | 0.5140 | 0.5887 | 0.7673 |
| No log | 2.8791 | 262 | 0.5596 | 0.5738 | 0.5596 | 0.7481 |
| No log | 2.9011 | 264 | 0.5655 | 0.5201 | 0.5655 | 0.7520 |
| No log | 2.9231 | 266 | 0.6124 | 0.4764 | 0.6124 | 0.7826 |
| No log | 2.9451 | 268 | 0.6144 | 0.4997 | 0.6144 | 0.7838 |
| No log | 2.9670 | 270 | 0.6033 | 0.4763 | 0.6033 | 0.7767 |
| No log | 2.9890 | 272 | 0.6163 | 0.4657 | 0.6163 | 0.7850 |
| No log | 3.0110 | 274 | 0.6742 | 0.3784 | 0.6742 | 0.8211 |
| No log | 3.0330 | 276 | 0.6483 | 0.4118 | 0.6483 | 0.8052 |
| No log | 3.0549 | 278 | 0.6372 | 0.4828 | 0.6372 | 0.7982 |
| No log | 3.0769 | 280 | 0.7365 | 0.4531 | 0.7365 | 0.8582 |
| No log | 3.0989 | 282 | 0.8107 | 0.3867 | 0.8107 | 0.9004 |
| No log | 3.1209 | 284 | 0.8152 | 0.3521 | 0.8152 | 0.9029 |
| No log | 3.1429 | 286 | 0.7807 | 0.3688 | 0.7807 | 0.8836 |
| No log | 3.1648 | 288 | 0.7117 | 0.4597 | 0.7117 | 0.8436 |
| No log | 3.1868 | 290 | 0.6541 | 0.3763 | 0.6541 | 0.8088 |
| No log | 3.2088 | 292 | 0.6628 | 0.3990 | 0.6628 | 0.8141 |
| No log | 3.2308 | 294 | 0.6660 | 0.3817 | 0.6660 | 0.8161 |
| No log | 3.2527 | 296 | 0.6913 | 0.4389 | 0.6913 | 0.8315 |
| No log | 3.2747 | 298 | 0.7005 | 0.4389 | 0.7005 | 0.8370 |
| No log | 3.2967 | 300 | 0.6796 | 0.4335 | 0.6796 | 0.8243 |
| No log | 3.3187 | 302 | 0.6664 | 0.3746 | 0.6664 | 0.8164 |
| No log | 3.3407 | 304 | 0.7049 | 0.3746 | 0.7049 | 0.8396 |
| No log | 3.3626 | 306 | 0.6874 | 0.3465 | 0.6874 | 0.8291 |
| No log | 3.3846 | 308 | 0.6668 | 0.4059 | 0.6668 | 0.8166 |
| No log | 3.4066 | 310 | 0.6424 | 0.4134 | 0.6424 | 0.8015 |
| No log | 3.4286 | 312 | 0.6229 | 0.3640 | 0.6229 | 0.7892 |
| No log | 3.4505 | 314 | 0.6265 | 0.4393 | 0.6265 | 0.7915 |
| No log | 3.4725 | 316 | 0.5958 | 0.4473 | 0.5958 | 0.7719 |
| No log | 3.4945 | 318 | 0.5920 | 0.4724 | 0.5920 | 0.7694 |
| No log | 3.5165 | 320 | 0.5536 | 0.4874 | 0.5536 | 0.7440 |
| No log | 3.5385 | 322 | 0.5892 | 0.5983 | 0.5892 | 0.7676 |
| No log | 3.5604 | 324 | 0.6334 | 0.5650 | 0.6334 | 0.7959 |
| No log | 3.5824 | 326 | 0.5735 | 0.5779 | 0.5735 | 0.7573 |
| No log | 3.6044 | 328 | 0.5312 | 0.4659 | 0.5312 | 0.7288 |
| No log | 3.6264 | 330 | 0.6558 | 0.4982 | 0.6558 | 0.8098 |
| No log | 3.6484 | 332 | 0.7737 | 0.4978 | 0.7737 | 0.8796 |
| No log | 3.6703 | 334 | 0.7178 | 0.4614 | 0.7178 | 0.8472 |
| No log | 3.6923 | 336 | 0.5956 | 0.4864 | 0.5956 | 0.7717 |
| No log | 3.7143 | 338 | 0.5497 | 0.4768 | 0.5497 | 0.7414 |
| No log | 3.7363 | 340 | 0.5595 | 0.4701 | 0.5595 | 0.7480 |
| No log | 3.7582 | 342 | 0.5541 | 0.4914 | 0.5541 | 0.7444 |
| No log | 3.7802 | 344 | 0.5822 | 0.4724 | 0.5822 | 0.7630 |
| No log | 3.8022 | 346 | 0.6964 | 0.4592 | 0.6964 | 0.8345 |
| No log | 3.8242 | 348 | 0.7560 | 0.4852 | 0.7560 | 0.8695 |
| No log | 3.8462 | 350 | 0.6903 | 0.4400 | 0.6903 | 0.8309 |
| No log | 3.8681 | 352 | 0.5553 | 0.5140 | 0.5553 | 0.7452 |
| No log | 3.8901 | 354 | 0.5169 | 0.6154 | 0.5169 | 0.7190 |
| No log | 3.9121 | 356 | 0.5810 | 0.5779 | 0.5810 | 0.7622 |
| No log | 3.9341 | 358 | 0.6338 | 0.4616 | 0.6338 | 0.7961 |
| No log | 3.9560 | 360 | 0.5852 | 0.5642 | 0.5852 | 0.7650 |
| No log | 3.9780 | 362 | 0.5404 | 0.5556 | 0.5404 | 0.7351 |
| No log | 4.0 | 364 | 0.5552 | 0.5053 | 0.5552 | 0.7451 |
| No log | 4.0220 | 366 | 0.6616 | 0.4531 | 0.6616 | 0.8134 |
| No log | 4.0440 | 368 | 0.7003 | 0.4295 | 0.7003 | 0.8368 |
| No log | 4.0659 | 370 | 0.6405 | 0.4295 | 0.6405 | 0.8003 |
| No log | 4.0879 | 372 | 0.5819 | 0.4828 | 0.5819 | 0.7628 |
| No log | 4.1099 | 374 | 0.5750 | 0.4701 | 0.5750 | 0.7583 |
| No log | 4.1319 | 376 | 0.5793 | 0.4681 | 0.5793 | 0.7611 |
| No log | 4.1538 | 378 | 0.5853 | 0.4044 | 0.5853 | 0.7651 |
| No log | 4.1758 | 380 | 0.5993 | 0.4513 | 0.5993 | 0.7742 |
| No log | 4.1978 | 382 | 0.6002 | 0.4247 | 0.6002 | 0.7747 |
| No log | 4.2198 | 384 | 0.5944 | 0.4020 | 0.5944 | 0.7709 |
| No log | 4.2418 | 386 | 0.5839 | 0.4397 | 0.5839 | 0.7642 |
| No log | 4.2637 | 388 | 0.5839 | 0.4914 | 0.5839 | 0.7641 |
| No log | 4.2857 | 390 | 0.5848 | 0.4901 | 0.5848 | 0.7647 |
| No log | 4.3077 | 392 | 0.6181 | 0.5418 | 0.6181 | 0.7862 |
| No log | 4.3297 | 394 | 0.6618 | 0.5233 | 0.6618 | 0.8135 |
| No log | 4.3516 | 396 | 0.6720 | 0.5185 | 0.6720 | 0.8198 |
| No log | 4.3736 | 398 | 0.6482 | 0.5459 | 0.6482 | 0.8051 |
| No log | 4.3956 | 400 | 0.5795 | 0.5632 | 0.5795 | 0.7613 |
| No log | 4.4176 | 402 | 0.5847 | 0.4858 | 0.5847 | 0.7646 |
| No log | 4.4396 | 404 | 0.6152 | 0.5200 | 0.6152 | 0.7843 |
| No log | 4.4615 | 406 | 0.5945 | 0.5406 | 0.5945 | 0.7710 |
| No log | 4.4835 | 408 | 0.5782 | 0.5061 | 0.5782 | 0.7604 |
| No log | 4.5055 | 410 | 0.5803 | 0.5107 | 0.5803 | 0.7618 |
| No log | 4.5275 | 412 | 0.5771 | 0.5061 | 0.5771 | 0.7597 |
| No log | 4.5495 | 414 | 0.5889 | 0.5265 | 0.5889 | 0.7674 |
| No log | 4.5714 | 416 | 0.5772 | 0.5265 | 0.5772 | 0.7597 |
| No log | 4.5934 | 418 | 0.5736 | 0.4701 | 0.5736 | 0.7574 |
| No log | 4.6154 | 420 | 0.6126 | 0.4428 | 0.6126 | 0.7827 |
| No log | 4.6374 | 422 | 0.6305 | 0.4212 | 0.6305 | 0.7941 |
| No log | 4.6593 | 424 | 0.6862 | 0.3723 | 0.6862 | 0.8284 |
| No log | 4.6813 | 426 | 0.8055 | 0.3782 | 0.8055 | 0.8975 |
| No log | 4.7033 | 428 | 0.8457 | 0.3782 | 0.8457 | 0.9196 |
| No log | 4.7253 | 430 | 0.7482 | 0.3913 | 0.7482 | 0.8650 |
| No log | 4.7473 | 432 | 0.6624 | 0.3914 | 0.6624 | 0.8139 |
| No log | 4.7692 | 434 | 0.5891 | 0.4212 | 0.5891 | 0.7675 |
| No log | 4.7912 | 436 | 0.5686 | 0.4782 | 0.5686 | 0.7540 |
| No log | 4.8132 | 438 | 0.5725 | 0.5084 | 0.5725 | 0.7567 |
| No log | 4.8352 | 440 | 0.5749 | 0.5003 | 0.5749 | 0.7582 |
| No log | 4.8571 | 442 | 0.5901 | 0.4912 | 0.5901 | 0.7682 |
| No log | 4.8791 | 444 | 0.6022 | 0.5433 | 0.6022 | 0.7760 |
| No log | 4.9011 | 446 | 0.5909 | 0.5368 | 0.5909 | 0.7687 |
| No log | 4.9231 | 448 | 0.5734 | 0.4928 | 0.5734 | 0.7573 |
| No log | 4.9451 | 450 | 0.5634 | 0.5142 | 0.5634 | 0.7506 |
| No log | 4.9670 | 452 | 0.5639 | 0.5084 | 0.5639 | 0.7510 |
| No log | 4.9890 | 454 | 0.5668 | 0.5133 | 0.5668 | 0.7529 |
| No log | 5.0110 | 456 | 0.6081 | 0.4883 | 0.6081 | 0.7798 |
| No log | 5.0330 | 458 | 0.7261 | 0.4952 | 0.7261 | 0.8521 |
| No log | 5.0549 | 460 | 0.7400 | 0.5294 | 0.7400 | 0.8602 |
| No log | 5.0769 | 462 | 0.7115 | 0.4513 | 0.7115 | 0.8435 |
| No log | 5.0989 | 464 | 0.6582 | 0.4954 | 0.6582 | 0.8113 |
| No log | 5.1209 | 466 | 0.6300 | 0.5206 | 0.6300 | 0.7937 |
| No log | 5.1429 | 468 | 0.6413 | 0.5285 | 0.6413 | 0.8008 |
| No log | 5.1648 | 470 | 0.6378 | 0.5285 | 0.6378 | 0.7987 |
| No log | 5.1868 | 472 | 0.6308 | 0.5661 | 0.6308 | 0.7942 |
| No log | 5.2088 | 474 | 0.6234 | 0.5533 | 0.6234 | 0.7896 |
| No log | 5.2308 | 476 | 0.6176 | 0.5547 | 0.6176 | 0.7859 |
| No log | 5.2527 | 478 | 0.6098 | 0.5159 | 0.6098 | 0.7809 |
| No log | 5.2747 | 480 | 0.6023 | 0.4619 | 0.6023 | 0.7761 |
| No log | 5.2967 | 482 | 0.6080 | 0.4660 | 0.6080 | 0.7797 |
| No log | 5.3187 | 484 | 0.6182 | 0.4639 | 0.6182 | 0.7863 |
| No log | 5.3407 | 486 | 0.6262 | 0.4555 | 0.6262 | 0.7913 |
| No log | 5.3626 | 488 | 0.6236 | 0.5053 | 0.6236 | 0.7897 |
| No log | 5.3846 | 490 | 0.6294 | 0.5032 | 0.6294 | 0.7934 |
| No log | 5.4066 | 492 | 0.6124 | 0.5218 | 0.6124 | 0.7826 |
| No log | 5.4286 | 494 | 0.6078 | 0.5318 | 0.6078 | 0.7796 |
| No log | 5.4505 | 496 | 0.6293 | 0.5406 | 0.6293 | 0.7933 |
| No log | 5.4725 | 498 | 0.6335 | 0.5185 | 0.6335 | 0.7959 |
| 0.4144 | 5.4945 | 500 | 0.6574 | 0.5063 | 0.6574 | 0.8108 |
| 0.4144 | 5.5165 | 502 | 0.6874 | 0.5459 | 0.6874 | 0.8291 |
| 0.4144 | 5.5385 | 504 | 0.6632 | 0.5473 | 0.6632 | 0.8144 |
| 0.4144 | 5.5604 | 506 | 0.6236 | 0.5149 | 0.6236 | 0.7897 |
| 0.4144 | 5.5824 | 508 | 0.6253 | 0.5067 | 0.6253 | 0.7907 |
| 0.4144 | 5.6044 | 510 | 0.6565 | 0.5013 | 0.6565 | 0.8102 |
| 0.4144 | 5.6264 | 512 | 0.6707 | 0.4375 | 0.6707 | 0.8190 |
| 0.4144 | 5.6484 | 514 | 0.6486 | 0.5184 | 0.6486 | 0.8053 |
| 0.4144 | 5.6703 | 516 | 0.6265 | 0.5254 | 0.6265 | 0.7915 |
| 0.4144 | 5.6923 | 518 | 0.6529 | 0.4302 | 0.6529 | 0.8080 |
| 0.4144 | 5.7143 | 520 | 0.6769 | 0.4282 | 0.6769 | 0.8227 |
| 0.4144 | 5.7363 | 522 | 0.6648 | 0.4724 | 0.6648 | 0.8154 |
| 0.4144 | 5.7582 | 524 | 0.6542 | 0.4837 | 0.6542 | 0.8088 |
| 0.4144 | 5.7802 | 526 | 0.6456 | 0.4314 | 0.6456 | 0.8035 |
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/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task7_organization
Base model
aubmindlab/bert-base-arabertv02