ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k20_task5_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: 0.8349
- Qwk: 0.5229
- Mse: 0.8349
- Rmse: 0.9137
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 | 0.0198 | 2 | 4.0009 | -0.0091 | 4.0009 | 2.0002 |
| No log | 0.0396 | 4 | 2.1903 | 0.0721 | 2.1903 | 1.4800 |
| No log | 0.0594 | 6 | 1.3125 | 0.0672 | 1.3125 | 1.1456 |
| No log | 0.0792 | 8 | 1.2610 | 0.1832 | 1.2610 | 1.1229 |
| No log | 0.0990 | 10 | 1.3852 | 0.0861 | 1.3852 | 1.1769 |
| No log | 0.1188 | 12 | 1.1289 | 0.1261 | 1.1289 | 1.0625 |
| No log | 0.1386 | 14 | 1.1519 | 0.0941 | 1.1519 | 1.0732 |
| No log | 0.1584 | 16 | 1.2868 | -0.1419 | 1.2868 | 1.1344 |
| No log | 0.1782 | 18 | 1.5415 | -0.0444 | 1.5415 | 1.2416 |
| No log | 0.1980 | 20 | 1.3838 | -0.0858 | 1.3838 | 1.1763 |
| No log | 0.2178 | 22 | 1.2170 | 0.0281 | 1.2170 | 1.1032 |
| No log | 0.2376 | 24 | 1.1489 | 0.1767 | 1.1489 | 1.0719 |
| No log | 0.2574 | 26 | 1.1329 | 0.1671 | 1.1329 | 1.0644 |
| No log | 0.2772 | 28 | 1.1363 | 0.1046 | 1.1363 | 1.0660 |
| No log | 0.2970 | 30 | 1.1881 | 0.0888 | 1.1881 | 1.0900 |
| No log | 0.3168 | 32 | 1.2206 | 0.0445 | 1.2206 | 1.1048 |
| No log | 0.3366 | 34 | 1.1918 | 0.0445 | 1.1918 | 1.0917 |
| No log | 0.3564 | 36 | 1.1295 | 0.2081 | 1.1295 | 1.0628 |
| No log | 0.3762 | 38 | 1.1050 | 0.1532 | 1.1050 | 1.0512 |
| No log | 0.3960 | 40 | 1.0940 | 0.2316 | 1.0940 | 1.0459 |
| No log | 0.4158 | 42 | 1.0965 | 0.2366 | 1.0965 | 1.0471 |
| No log | 0.4356 | 44 | 1.1843 | 0.0849 | 1.1843 | 1.0883 |
| No log | 0.4554 | 46 | 1.2023 | 0.0849 | 1.2023 | 1.0965 |
| No log | 0.4752 | 48 | 1.0677 | 0.1482 | 1.0677 | 1.0333 |
| No log | 0.4950 | 50 | 1.0114 | 0.2771 | 1.0114 | 1.0057 |
| No log | 0.5149 | 52 | 1.0826 | 0.2192 | 1.0826 | 1.0405 |
| No log | 0.5347 | 54 | 1.0416 | 0.2678 | 1.0416 | 1.0206 |
| No log | 0.5545 | 56 | 0.9316 | 0.3151 | 0.9316 | 0.9652 |
| No log | 0.5743 | 58 | 1.0042 | 0.2588 | 1.0042 | 1.0021 |
| No log | 0.5941 | 60 | 1.0554 | 0.2659 | 1.0554 | 1.0273 |
| No log | 0.6139 | 62 | 1.0204 | 0.2513 | 1.0204 | 1.0102 |
| No log | 0.6337 | 64 | 0.9734 | 0.2611 | 0.9734 | 0.9866 |
| No log | 0.6535 | 66 | 0.9347 | 0.3856 | 0.9347 | 0.9668 |
| No log | 0.6733 | 68 | 0.9175 | 0.1883 | 0.9175 | 0.9579 |
| No log | 0.6931 | 70 | 0.9454 | 0.2865 | 0.9454 | 0.9723 |
| No log | 0.7129 | 72 | 0.9392 | 0.2865 | 0.9392 | 0.9691 |
| No log | 0.7327 | 74 | 0.9097 | 0.2674 | 0.9097 | 0.9538 |
| No log | 0.7525 | 76 | 0.8553 | 0.3393 | 0.8553 | 0.9248 |
| No log | 0.7723 | 78 | 0.8351 | 0.3942 | 0.8351 | 0.9139 |
| No log | 0.7921 | 80 | 0.8516 | 0.4473 | 0.8516 | 0.9228 |
| No log | 0.8119 | 82 | 0.9186 | 0.3062 | 0.9186 | 0.9585 |
| No log | 0.8317 | 84 | 0.9518 | 0.3310 | 0.9518 | 0.9756 |
| No log | 0.8515 | 86 | 0.8994 | 0.3223 | 0.8994 | 0.9484 |
| No log | 0.8713 | 88 | 0.8467 | 0.3467 | 0.8467 | 0.9202 |
| No log | 0.8911 | 90 | 0.8280 | 0.4388 | 0.8280 | 0.9099 |
| No log | 0.9109 | 92 | 0.9591 | 0.3672 | 0.9591 | 0.9793 |
| No log | 0.9307 | 94 | 1.1886 | 0.2555 | 1.1886 | 1.0902 |
| No log | 0.9505 | 96 | 1.2278 | 0.1911 | 1.2278 | 1.1081 |
| No log | 0.9703 | 98 | 1.0654 | 0.0011 | 1.0654 | 1.0322 |
| No log | 0.9901 | 100 | 0.9096 | 0.3862 | 0.9096 | 0.9537 |
| No log | 1.0099 | 102 | 0.8361 | 0.4571 | 0.8361 | 0.9144 |
| No log | 1.0297 | 104 | 0.8984 | 0.2981 | 0.8984 | 0.9478 |
| No log | 1.0495 | 106 | 1.0921 | 0.2934 | 1.0921 | 1.0450 |
| No log | 1.0693 | 108 | 1.0997 | 0.3190 | 1.0997 | 1.0487 |
| No log | 1.0891 | 110 | 1.1994 | 0.3346 | 1.1994 | 1.0952 |
| No log | 1.1089 | 112 | 1.1555 | 0.3897 | 1.1555 | 1.0750 |
| No log | 1.1287 | 114 | 1.0354 | 0.4100 | 1.0354 | 1.0176 |
| No log | 1.1485 | 116 | 1.0943 | 0.4220 | 1.0943 | 1.0461 |
| No log | 1.1683 | 118 | 1.3350 | 0.2386 | 1.3350 | 1.1554 |
| No log | 1.1881 | 120 | 1.4780 | 0.1955 | 1.4780 | 1.2157 |
| No log | 1.2079 | 122 | 1.3022 | 0.1790 | 1.3022 | 1.1411 |
| No log | 1.2277 | 124 | 1.0711 | 0.2960 | 1.0711 | 1.0349 |
| No log | 1.2475 | 126 | 1.0712 | 0.3135 | 1.0712 | 1.0350 |
| No log | 1.2673 | 128 | 1.1122 | 0.3527 | 1.1122 | 1.0546 |
| No log | 1.2871 | 130 | 1.0903 | 0.3527 | 1.0903 | 1.0442 |
| No log | 1.3069 | 132 | 1.0229 | 0.3659 | 1.0229 | 1.0114 |
| No log | 1.3267 | 134 | 0.9299 | 0.4144 | 0.9299 | 0.9643 |
| No log | 1.3465 | 136 | 0.8419 | 0.4337 | 0.8419 | 0.9176 |
| No log | 1.3663 | 138 | 0.8390 | 0.4337 | 0.8390 | 0.9160 |
| No log | 1.3861 | 140 | 0.9330 | 0.4411 | 0.9330 | 0.9659 |
| No log | 1.4059 | 142 | 1.0496 | 0.3681 | 1.0496 | 1.0245 |
| No log | 1.4257 | 144 | 0.9545 | 0.4318 | 0.9545 | 0.9770 |
| No log | 1.4455 | 146 | 0.8454 | 0.4345 | 0.8454 | 0.9194 |
| No log | 1.4653 | 148 | 0.8393 | 0.4371 | 0.8393 | 0.9161 |
| No log | 1.4851 | 150 | 0.8292 | 0.4613 | 0.8292 | 0.9106 |
| No log | 1.5050 | 152 | 0.8689 | 0.5192 | 0.8689 | 0.9321 |
| No log | 1.5248 | 154 | 0.9179 | 0.4815 | 0.9179 | 0.9580 |
| No log | 1.5446 | 156 | 0.8928 | 0.5160 | 0.8928 | 0.9449 |
| No log | 1.5644 | 158 | 0.8924 | 0.5319 | 0.8924 | 0.9447 |
| No log | 1.5842 | 160 | 0.8452 | 0.4966 | 0.8452 | 0.9193 |
| No log | 1.6040 | 162 | 0.8109 | 0.4244 | 0.8109 | 0.9005 |
| No log | 1.6238 | 164 | 0.8103 | 0.4628 | 0.8103 | 0.9002 |
| No log | 1.6436 | 166 | 0.8254 | 0.4398 | 0.8254 | 0.9085 |
| No log | 1.6634 | 168 | 0.8029 | 0.4762 | 0.8029 | 0.8961 |
| No log | 1.6832 | 170 | 0.8558 | 0.4198 | 0.8558 | 0.9251 |
| No log | 1.7030 | 172 | 0.9267 | 0.4681 | 0.9267 | 0.9626 |
| No log | 1.7228 | 174 | 0.8400 | 0.3939 | 0.8400 | 0.9165 |
| No log | 1.7426 | 176 | 0.7984 | 0.4473 | 0.7984 | 0.8935 |
| No log | 1.7624 | 178 | 0.7788 | 0.4234 | 0.7788 | 0.8825 |
| No log | 1.7822 | 180 | 0.7867 | 0.4595 | 0.7867 | 0.8870 |
| No log | 1.8020 | 182 | 0.8710 | 0.4334 | 0.8710 | 0.9333 |
| No log | 1.8218 | 184 | 0.8358 | 0.4568 | 0.8358 | 0.9142 |
| No log | 1.8416 | 186 | 0.8159 | 0.4455 | 0.8159 | 0.9033 |
| No log | 1.8614 | 188 | 0.7616 | 0.4858 | 0.7616 | 0.8727 |
| No log | 1.8812 | 190 | 0.7716 | 0.4862 | 0.7716 | 0.8784 |
| No log | 1.9010 | 192 | 0.8682 | 0.4423 | 0.8682 | 0.9318 |
| No log | 1.9208 | 194 | 1.1088 | 0.3590 | 1.1088 | 1.0530 |
| No log | 1.9406 | 196 | 1.1006 | 0.3913 | 1.1006 | 1.0491 |
| No log | 1.9604 | 198 | 0.8815 | 0.4326 | 0.8815 | 0.9389 |
| No log | 1.9802 | 200 | 0.8147 | 0.3976 | 0.8147 | 0.9026 |
| No log | 2.0 | 202 | 0.8332 | 0.4075 | 0.8332 | 0.9128 |
| No log | 2.0198 | 204 | 0.9550 | 0.3519 | 0.9550 | 0.9772 |
| No log | 2.0396 | 206 | 0.9918 | 0.3492 | 0.9918 | 0.9959 |
| No log | 2.0594 | 208 | 0.8777 | 0.3989 | 0.8777 | 0.9369 |
| No log | 2.0792 | 210 | 0.8476 | 0.3435 | 0.8476 | 0.9206 |
| No log | 2.0990 | 212 | 0.8707 | 0.3037 | 0.8707 | 0.9331 |
| No log | 2.1188 | 214 | 0.8393 | 0.3836 | 0.8393 | 0.9161 |
| No log | 2.1386 | 216 | 0.8807 | 0.3883 | 0.8807 | 0.9384 |
| No log | 2.1584 | 218 | 0.9319 | 0.4777 | 0.9319 | 0.9653 |
| No log | 2.1782 | 220 | 0.8632 | 0.4681 | 0.8632 | 0.9291 |
| No log | 2.1980 | 222 | 0.8364 | 0.4342 | 0.8364 | 0.9145 |
| No log | 2.2178 | 224 | 0.7873 | 0.4471 | 0.7873 | 0.8873 |
| No log | 2.2376 | 226 | 0.8078 | 0.4450 | 0.8078 | 0.8988 |
| No log | 2.2574 | 228 | 0.8617 | 0.4434 | 0.8617 | 0.9283 |
| No log | 2.2772 | 230 | 0.7751 | 0.3939 | 0.7751 | 0.8804 |
| No log | 2.2970 | 232 | 0.7114 | 0.4355 | 0.7114 | 0.8435 |
| No log | 2.3168 | 234 | 0.7102 | 0.4498 | 0.7102 | 0.8427 |
| No log | 2.3366 | 236 | 0.7044 | 0.4498 | 0.7044 | 0.8393 |
| No log | 2.3564 | 238 | 0.7197 | 0.4468 | 0.7197 | 0.8484 |
| No log | 2.3762 | 240 | 0.7584 | 0.3760 | 0.7584 | 0.8709 |
| No log | 2.3960 | 242 | 0.7602 | 0.3760 | 0.7602 | 0.8719 |
| No log | 2.4158 | 244 | 0.7340 | 0.4355 | 0.7340 | 0.8567 |
| No log | 2.4356 | 246 | 0.7403 | 0.5328 | 0.7403 | 0.8604 |
| No log | 2.4554 | 248 | 0.7497 | 0.4870 | 0.7497 | 0.8658 |
| No log | 2.4752 | 250 | 0.7128 | 0.5638 | 0.7128 | 0.8443 |
| No log | 2.4950 | 252 | 0.7096 | 0.5357 | 0.7096 | 0.8424 |
| No log | 2.5149 | 254 | 0.7306 | 0.5677 | 0.7306 | 0.8547 |
| No log | 2.5347 | 256 | 0.6922 | 0.5480 | 0.6922 | 0.8320 |
| No log | 2.5545 | 258 | 0.6905 | 0.5287 | 0.6905 | 0.8309 |
| No log | 2.5743 | 260 | 0.7023 | 0.4645 | 0.7023 | 0.8380 |
| No log | 2.5941 | 262 | 0.7505 | 0.4247 | 0.7505 | 0.8663 |
| No log | 2.6139 | 264 | 0.7759 | 0.4696 | 0.7759 | 0.8808 |
| No log | 2.6337 | 266 | 0.8223 | 0.5013 | 0.8223 | 0.9068 |
| No log | 2.6535 | 268 | 0.8281 | 0.5013 | 0.8281 | 0.9100 |
| No log | 2.6733 | 270 | 0.9107 | 0.4885 | 0.9107 | 0.9543 |
| No log | 2.6931 | 272 | 0.8304 | 0.4681 | 0.8304 | 0.9113 |
| No log | 2.7129 | 274 | 0.7219 | 0.3821 | 0.7219 | 0.8496 |
| No log | 2.7327 | 276 | 0.6853 | 0.4748 | 0.6853 | 0.8278 |
| No log | 2.7525 | 278 | 0.7006 | 0.3706 | 0.7006 | 0.8370 |
| No log | 2.7723 | 280 | 0.8327 | 0.5111 | 0.8327 | 0.9125 |
| No log | 2.7921 | 282 | 0.8741 | 0.5086 | 0.8741 | 0.9350 |
| No log | 2.8119 | 284 | 0.7684 | 0.5431 | 0.7684 | 0.8766 |
| No log | 2.8317 | 286 | 0.7590 | 0.4460 | 0.7590 | 0.8712 |
| No log | 2.8515 | 288 | 0.8575 | 0.5196 | 0.8575 | 0.9260 |
| No log | 2.8713 | 290 | 0.8574 | 0.4785 | 0.8574 | 0.9260 |
| No log | 2.8911 | 292 | 0.7430 | 0.4089 | 0.7430 | 0.8620 |
| No log | 2.9109 | 294 | 0.7114 | 0.4988 | 0.7114 | 0.8434 |
| No log | 2.9307 | 296 | 0.7549 | 0.4214 | 0.7549 | 0.8688 |
| No log | 2.9505 | 298 | 0.8837 | 0.4885 | 0.8837 | 0.9401 |
| No log | 2.9703 | 300 | 0.8432 | 0.5111 | 0.8432 | 0.9183 |
| No log | 2.9901 | 302 | 0.7306 | 0.4343 | 0.7306 | 0.8547 |
| No log | 3.0099 | 304 | 0.7110 | 0.5220 | 0.7110 | 0.8432 |
| No log | 3.0297 | 306 | 0.7305 | 0.4727 | 0.7305 | 0.8547 |
| No log | 3.0495 | 308 | 0.7551 | 0.4343 | 0.7551 | 0.8690 |
| No log | 3.0693 | 310 | 0.7558 | 0.4455 | 0.7558 | 0.8694 |
| No log | 3.0891 | 312 | 0.7241 | 0.4106 | 0.7241 | 0.8509 |
| No log | 3.1089 | 314 | 0.6898 | 0.4241 | 0.6898 | 0.8305 |
| No log | 3.1287 | 316 | 0.7099 | 0.4106 | 0.7099 | 0.8425 |
| No log | 3.1485 | 318 | 0.7426 | 0.4089 | 0.7426 | 0.8617 |
| No log | 3.1683 | 320 | 0.7343 | 0.4220 | 0.7343 | 0.8569 |
| No log | 3.1881 | 322 | 0.6972 | 0.4106 | 0.6972 | 0.8350 |
| No log | 3.2079 | 324 | 0.7251 | 0.4106 | 0.7251 | 0.8515 |
| No log | 3.2277 | 326 | 0.8208 | 0.5027 | 0.8208 | 0.9060 |
| No log | 3.2475 | 328 | 0.8074 | 0.5027 | 0.8074 | 0.8986 |
| No log | 3.2673 | 330 | 0.7140 | 0.4106 | 0.7140 | 0.8450 |
| No log | 3.2871 | 332 | 0.6932 | 0.4789 | 0.6932 | 0.8326 |
| No log | 3.3069 | 334 | 0.6935 | 0.5373 | 0.6935 | 0.8328 |
| No log | 3.3267 | 336 | 0.7140 | 0.4974 | 0.7140 | 0.8450 |
| No log | 3.3465 | 338 | 0.8434 | 0.5 | 0.8434 | 0.9183 |
| No log | 3.3663 | 340 | 1.0270 | 0.4226 | 1.0270 | 1.0134 |
| No log | 3.3861 | 342 | 1.0126 | 0.4540 | 1.0126 | 1.0063 |
| No log | 3.4059 | 344 | 0.8616 | 0.4898 | 0.8616 | 0.9282 |
| No log | 3.4257 | 346 | 0.7890 | 0.3939 | 0.7890 | 0.8882 |
| No log | 3.4455 | 348 | 0.7722 | 0.4071 | 0.7722 | 0.8787 |
| No log | 3.4653 | 350 | 0.8096 | 0.4889 | 0.8096 | 0.8998 |
| No log | 3.4851 | 352 | 0.9005 | 0.4885 | 0.9005 | 0.9489 |
| No log | 3.5050 | 354 | 0.8989 | 0.4667 | 0.8989 | 0.9481 |
| No log | 3.5248 | 356 | 0.7967 | 0.5007 | 0.7967 | 0.8926 |
| No log | 3.5446 | 358 | 0.7110 | 0.5062 | 0.7110 | 0.8432 |
| No log | 3.5644 | 360 | 0.7078 | 0.4093 | 0.7078 | 0.8413 |
| No log | 3.5842 | 362 | 0.7439 | 0.4310 | 0.7439 | 0.8625 |
| No log | 3.6040 | 364 | 0.8158 | 0.4898 | 0.8158 | 0.9032 |
| No log | 3.6238 | 366 | 0.7787 | 0.4792 | 0.7787 | 0.8824 |
| No log | 3.6436 | 368 | 0.6865 | 0.4301 | 0.6865 | 0.8285 |
| No log | 3.6634 | 370 | 0.6362 | 0.4625 | 0.6362 | 0.7976 |
| No log | 3.6832 | 372 | 0.6373 | 0.5402 | 0.6373 | 0.7983 |
| No log | 3.7030 | 374 | 0.6813 | 0.5070 | 0.6813 | 0.8254 |
| No log | 3.7228 | 376 | 0.7843 | 0.4994 | 0.7843 | 0.8856 |
| No log | 3.7426 | 378 | 0.8111 | 0.4885 | 0.8111 | 0.9006 |
| No log | 3.7624 | 380 | 0.7261 | 0.5292 | 0.7261 | 0.8521 |
| No log | 3.7822 | 382 | 0.7049 | 0.4336 | 0.7049 | 0.8396 |
| No log | 3.8020 | 384 | 0.7162 | 0.4336 | 0.7162 | 0.8463 |
| No log | 3.8218 | 386 | 0.6926 | 0.4336 | 0.6926 | 0.8322 |
| No log | 3.8416 | 388 | 0.6655 | 0.4730 | 0.6655 | 0.8158 |
| No log | 3.8614 | 390 | 0.6506 | 0.4730 | 0.6506 | 0.8066 |
| No log | 3.8812 | 392 | 0.6432 | 0.4776 | 0.6432 | 0.8020 |
| No log | 3.9010 | 394 | 0.6746 | 0.4490 | 0.6746 | 0.8213 |
| No log | 3.9208 | 396 | 0.7129 | 0.4616 | 0.7129 | 0.8443 |
| No log | 3.9406 | 398 | 0.7236 | 0.4411 | 0.7236 | 0.8507 |
| No log | 3.9604 | 400 | 0.7472 | 0.4264 | 0.7472 | 0.8644 |
| No log | 3.9802 | 402 | 0.7541 | 0.4010 | 0.7541 | 0.8684 |
| No log | 4.0 | 404 | 0.7287 | 0.4014 | 0.7287 | 0.8537 |
| No log | 4.0198 | 406 | 0.7168 | 0.4405 | 0.7168 | 0.8466 |
| No log | 4.0396 | 408 | 0.7370 | 0.4847 | 0.7370 | 0.8585 |
| No log | 4.0594 | 410 | 0.7512 | 0.5292 | 0.7512 | 0.8667 |
| No log | 4.0792 | 412 | 0.7458 | 0.5292 | 0.7458 | 0.8636 |
| No log | 4.0990 | 414 | 0.7530 | 0.5255 | 0.7530 | 0.8677 |
| No log | 4.1188 | 416 | 0.8489 | 0.5098 | 0.8489 | 0.9214 |
| No log | 4.1386 | 418 | 0.8455 | 0.5098 | 0.8455 | 0.9195 |
| No log | 4.1584 | 420 | 0.9500 | 0.5283 | 0.9500 | 0.9747 |
| No log | 4.1782 | 422 | 0.9076 | 0.5394 | 0.9076 | 0.9527 |
| No log | 4.1980 | 424 | 0.7689 | 0.5219 | 0.7689 | 0.8769 |
| No log | 4.2178 | 426 | 0.6876 | 0.4630 | 0.6876 | 0.8292 |
| No log | 4.2376 | 428 | 0.7002 | 0.5186 | 0.7002 | 0.8368 |
| No log | 4.2574 | 430 | 0.7874 | 0.5447 | 0.7874 | 0.8874 |
| No log | 4.2772 | 432 | 0.8222 | 0.5447 | 0.8222 | 0.9067 |
| No log | 4.2970 | 434 | 0.7680 | 0.5035 | 0.7680 | 0.8763 |
| No log | 4.3168 | 436 | 0.7151 | 0.4082 | 0.7151 | 0.8457 |
| No log | 4.3366 | 438 | 0.7197 | 0.4373 | 0.7197 | 0.8483 |
| No log | 4.3564 | 440 | 0.7345 | 0.3652 | 0.7345 | 0.8570 |
| No log | 4.3762 | 442 | 0.7971 | 0.4928 | 0.7971 | 0.8928 |
| No log | 4.3960 | 444 | 0.9100 | 0.5240 | 0.9100 | 0.9539 |
| No log | 4.4158 | 446 | 0.8876 | 0.5134 | 0.8876 | 0.9421 |
| No log | 4.4356 | 448 | 0.8312 | 0.4327 | 0.8312 | 0.9117 |
| No log | 4.4554 | 450 | 0.8607 | 0.4203 | 0.8607 | 0.9278 |
| No log | 4.4752 | 452 | 0.8513 | 0.4584 | 0.8513 | 0.9227 |
| No log | 4.4950 | 454 | 0.8350 | 0.4581 | 0.8350 | 0.9138 |
| No log | 4.5149 | 456 | 0.8262 | 0.4824 | 0.8262 | 0.9090 |
| No log | 4.5347 | 458 | 0.7859 | 0.4836 | 0.7859 | 0.8865 |
| No log | 4.5545 | 460 | 0.7778 | 0.5150 | 0.7778 | 0.8819 |
| No log | 4.5743 | 462 | 0.7010 | 0.4613 | 0.7010 | 0.8373 |
| No log | 4.5941 | 464 | 0.6772 | 0.5002 | 0.6772 | 0.8229 |
| No log | 4.6139 | 466 | 0.7143 | 0.5618 | 0.7143 | 0.8452 |
| No log | 4.6337 | 468 | 0.8196 | 0.5356 | 0.8196 | 0.9053 |
| No log | 4.6535 | 470 | 0.8992 | 0.4667 | 0.8992 | 0.9483 |
| No log | 4.6733 | 472 | 0.9110 | 0.4667 | 0.9110 | 0.9544 |
| No log | 4.6931 | 474 | 0.8517 | 0.4885 | 0.8517 | 0.9229 |
| No log | 4.7129 | 476 | 0.7685 | 0.5378 | 0.7685 | 0.8767 |
| No log | 4.7327 | 478 | 0.7298 | 0.4768 | 0.7298 | 0.8543 |
| No log | 4.7525 | 480 | 0.7260 | 0.4660 | 0.7260 | 0.8520 |
| No log | 4.7723 | 482 | 0.7460 | 0.4168 | 0.7460 | 0.8637 |
| No log | 4.7921 | 484 | 0.7676 | 0.4186 | 0.7676 | 0.8762 |
| No log | 4.8119 | 486 | 0.8043 | 0.4893 | 0.8043 | 0.8968 |
| No log | 4.8317 | 488 | 0.7834 | 0.5134 | 0.7834 | 0.8851 |
| No log | 4.8515 | 490 | 0.7291 | 0.5407 | 0.7291 | 0.8539 |
| No log | 4.8713 | 492 | 0.7182 | 0.5407 | 0.7182 | 0.8475 |
| No log | 4.8911 | 494 | 0.7212 | 0.5291 | 0.7212 | 0.8492 |
| No log | 4.9109 | 496 | 0.8045 | 0.5229 | 0.8045 | 0.8970 |
| No log | 4.9307 | 498 | 0.8336 | 0.5227 | 0.8336 | 0.9130 |
| 0.3485 | 4.9505 | 500 | 0.7940 | 0.5362 | 0.7940 | 0.8910 |
| 0.3485 | 4.9703 | 502 | 0.7613 | 0.5362 | 0.7613 | 0.8725 |
| 0.3485 | 4.9901 | 504 | 0.7045 | 0.5475 | 0.7045 | 0.8394 |
| 0.3485 | 5.0099 | 506 | 0.6184 | 0.5856 | 0.6184 | 0.7864 |
| 0.3485 | 5.0297 | 508 | 0.6174 | 0.6195 | 0.6174 | 0.7858 |
| 0.3485 | 5.0495 | 510 | 0.6098 | 0.6316 | 0.6098 | 0.7809 |
| 0.3485 | 5.0693 | 512 | 0.6254 | 0.5752 | 0.6254 | 0.7908 |
| 0.3485 | 5.0891 | 514 | 0.7585 | 0.5844 | 0.7585 | 0.8709 |
| 0.3485 | 5.1089 | 516 | 0.8167 | 0.5755 | 0.8167 | 0.9037 |
| 0.3485 | 5.1287 | 518 | 0.8231 | 0.5755 | 0.8231 | 0.9073 |
| 0.3485 | 5.1485 | 520 | 0.7708 | 0.5556 | 0.7708 | 0.8779 |
| 0.3485 | 5.1683 | 522 | 0.6796 | 0.5035 | 0.6796 | 0.8244 |
| 0.3485 | 5.1881 | 524 | 0.6479 | 0.5212 | 0.6479 | 0.8049 |
| 0.3485 | 5.2079 | 526 | 0.6721 | 0.5291 | 0.6721 | 0.8198 |
| 0.3485 | 5.2277 | 528 | 0.7648 | 0.5229 | 0.7648 | 0.8745 |
| 0.3485 | 5.2475 | 530 | 0.8349 | 0.5229 | 0.8349 | 0.9137 |
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_k20_task5_organization
Base model
aubmindlab/bert-base-arabertv02