ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_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: 1.4561
- Qwk: 0.0612
- Mse: 1.4561
- Rmse: 1.2067
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 | 0.0230 | 2 | 4.7386 | 0.0010 | 4.7386 | 2.1768 |
| No log | 0.0460 | 4 | 2.8791 | 0.0088 | 2.8791 | 1.6968 |
| No log | 0.0690 | 6 | 2.3029 | -0.0608 | 2.3029 | 1.5175 |
| No log | 0.0920 | 8 | 1.9818 | -0.0501 | 1.9818 | 1.4078 |
| No log | 0.1149 | 10 | 1.6606 | -0.1848 | 1.6606 | 1.2886 |
| No log | 0.1379 | 12 | 1.4298 | -0.0085 | 1.4298 | 1.1957 |
| No log | 0.1609 | 14 | 1.3639 | -0.0141 | 1.3639 | 1.1678 |
| No log | 0.1839 | 16 | 1.5374 | -0.0535 | 1.5374 | 1.2399 |
| No log | 0.2069 | 18 | 1.5998 | -0.1778 | 1.5998 | 1.2648 |
| No log | 0.2299 | 20 | 1.5496 | -0.1939 | 1.5496 | 1.2448 |
| No log | 0.2529 | 22 | 1.4123 | 0.0918 | 1.4123 | 1.1884 |
| No log | 0.2759 | 24 | 1.3774 | 0.0180 | 1.3774 | 1.1736 |
| No log | 0.2989 | 26 | 1.3915 | -0.0163 | 1.3915 | 1.1796 |
| No log | 0.3218 | 28 | 1.5664 | -0.0757 | 1.5664 | 1.2516 |
| No log | 0.3448 | 30 | 1.5900 | -0.0757 | 1.5900 | 1.2610 |
| No log | 0.3678 | 32 | 1.3824 | 0.0639 | 1.3824 | 1.1757 |
| No log | 0.3908 | 34 | 1.2981 | 0.0454 | 1.2981 | 1.1393 |
| No log | 0.4138 | 36 | 1.3125 | 0.0454 | 1.3125 | 1.1457 |
| No log | 0.4368 | 38 | 1.2534 | 0.0153 | 1.2534 | 1.1196 |
| No log | 0.4598 | 40 | 1.3304 | 0.0677 | 1.3304 | 1.1534 |
| No log | 0.4828 | 42 | 1.5847 | -0.0216 | 1.5847 | 1.2588 |
| No log | 0.5057 | 44 | 1.6903 | -0.0216 | 1.6903 | 1.3001 |
| No log | 0.5287 | 46 | 1.4118 | 0.0186 | 1.4118 | 1.1882 |
| No log | 0.5517 | 48 | 1.3585 | 0.0796 | 1.3585 | 1.1656 |
| No log | 0.5747 | 50 | 1.3279 | 0.1423 | 1.3279 | 1.1523 |
| No log | 0.5977 | 52 | 1.2744 | 0.1237 | 1.2744 | 1.1289 |
| No log | 0.6207 | 54 | 1.2613 | 0.1009 | 1.2613 | 1.1231 |
| No log | 0.6437 | 56 | 1.2500 | 0.0810 | 1.2500 | 1.1180 |
| No log | 0.6667 | 58 | 1.2443 | 0.1043 | 1.2443 | 1.1155 |
| No log | 0.6897 | 60 | 1.2938 | 0.1266 | 1.2938 | 1.1375 |
| No log | 0.7126 | 62 | 1.3152 | 0.1266 | 1.3152 | 1.1468 |
| No log | 0.7356 | 64 | 1.3168 | 0.1495 | 1.3168 | 1.1475 |
| No log | 0.7586 | 66 | 1.3994 | 0.1045 | 1.3994 | 1.1830 |
| No log | 0.7816 | 68 | 1.4938 | 0.1507 | 1.4938 | 1.2222 |
| No log | 0.8046 | 70 | 1.4166 | 0.0791 | 1.4166 | 1.1902 |
| No log | 0.8276 | 72 | 1.6003 | 0.1899 | 1.6003 | 1.2650 |
| No log | 0.8506 | 74 | 1.5682 | 0.2147 | 1.5682 | 1.2523 |
| No log | 0.8736 | 76 | 1.4794 | 0.0781 | 1.4794 | 1.2163 |
| No log | 0.8966 | 78 | 1.6731 | 0.1488 | 1.6731 | 1.2935 |
| No log | 0.9195 | 80 | 1.6355 | 0.1590 | 1.6355 | 1.2789 |
| No log | 0.9425 | 82 | 1.5234 | 0.1459 | 1.5234 | 1.2343 |
| No log | 0.9655 | 84 | 1.5890 | 0.0793 | 1.5890 | 1.2606 |
| No log | 0.9885 | 86 | 2.0385 | 0.0826 | 2.0385 | 1.4278 |
| No log | 1.0115 | 88 | 2.1450 | 0.1204 | 2.1450 | 1.4646 |
| No log | 1.0345 | 90 | 1.7760 | 0.0366 | 1.7760 | 1.3327 |
| No log | 1.0575 | 92 | 1.8617 | 0.1213 | 1.8617 | 1.3644 |
| No log | 1.0805 | 94 | 1.7898 | 0.0373 | 1.7898 | 1.3378 |
| No log | 1.1034 | 96 | 2.2586 | 0.0786 | 2.2586 | 1.5029 |
| No log | 1.1264 | 98 | 2.3380 | 0.0895 | 2.3380 | 1.5291 |
| No log | 1.1494 | 100 | 1.8711 | 0.0618 | 1.8711 | 1.3679 |
| No log | 1.1724 | 102 | 1.7550 | 0.0086 | 1.7550 | 1.3248 |
| No log | 1.1954 | 104 | 1.7473 | -0.0297 | 1.7473 | 1.3219 |
| No log | 1.2184 | 106 | 2.1343 | 0.0640 | 2.1343 | 1.4609 |
| No log | 1.2414 | 108 | 2.2572 | 0.0624 | 2.2572 | 1.5024 |
| No log | 1.2644 | 110 | 1.9156 | 0.1033 | 1.9156 | 1.3841 |
| No log | 1.2874 | 112 | 1.7550 | 0.0143 | 1.7550 | 1.3248 |
| No log | 1.3103 | 114 | 1.8731 | 0.0173 | 1.8731 | 1.3686 |
| No log | 1.3333 | 116 | 1.6224 | -0.0554 | 1.6224 | 1.2737 |
| No log | 1.3563 | 118 | 1.6175 | 0.0393 | 1.6175 | 1.2718 |
| No log | 1.3793 | 120 | 1.9098 | 0.0677 | 1.9098 | 1.3820 |
| No log | 1.4023 | 122 | 1.8864 | 0.0504 | 1.8864 | 1.3735 |
| No log | 1.4253 | 124 | 1.6324 | 0.0385 | 1.6324 | 1.2777 |
| No log | 1.4483 | 126 | 1.6027 | -0.0732 | 1.6027 | 1.2660 |
| No log | 1.4713 | 128 | 1.6400 | -0.0265 | 1.6400 | 1.2806 |
| No log | 1.4943 | 130 | 1.8314 | 0.0807 | 1.8314 | 1.3533 |
| No log | 1.5172 | 132 | 2.1527 | 0.1374 | 2.1527 | 1.4672 |
| No log | 1.5402 | 134 | 2.0754 | 0.0976 | 2.0754 | 1.4406 |
| No log | 1.5632 | 136 | 1.7177 | 0.0142 | 1.7177 | 1.3106 |
| No log | 1.5862 | 138 | 1.7132 | -0.0714 | 1.7132 | 1.3089 |
| No log | 1.6092 | 140 | 1.6989 | -0.0338 | 1.6989 | 1.3034 |
| No log | 1.6322 | 142 | 1.7790 | 0.1306 | 1.7790 | 1.3338 |
| No log | 1.6552 | 144 | 2.0224 | 0.0559 | 2.0224 | 1.4221 |
| No log | 1.6782 | 146 | 1.8962 | 0.0984 | 1.8962 | 1.3770 |
| No log | 1.7011 | 148 | 1.8146 | 0.1547 | 1.8146 | 1.3471 |
| No log | 1.7241 | 150 | 1.8936 | 0.0807 | 1.8936 | 1.3761 |
| No log | 1.7471 | 152 | 2.0841 | 0.1020 | 2.0841 | 1.4437 |
| No log | 1.7701 | 154 | 1.9072 | 0.0859 | 1.9072 | 1.3810 |
| No log | 1.7931 | 156 | 1.6054 | -0.0018 | 1.6054 | 1.2670 |
| No log | 1.8161 | 158 | 1.5789 | -0.0118 | 1.5789 | 1.2566 |
| No log | 1.8391 | 160 | 1.5437 | -0.0585 | 1.5437 | 1.2425 |
| No log | 1.8621 | 162 | 1.7125 | 0.0260 | 1.7125 | 1.3086 |
| No log | 1.8851 | 164 | 2.0283 | 0.1140 | 2.0283 | 1.4242 |
| No log | 1.9080 | 166 | 1.9756 | 0.0388 | 1.9756 | 1.4056 |
| No log | 1.9310 | 168 | 1.7830 | 0.0392 | 1.7830 | 1.3353 |
| No log | 1.9540 | 170 | 1.6770 | 0.0157 | 1.6770 | 1.2950 |
| No log | 1.9770 | 172 | 1.7227 | 0.0091 | 1.7227 | 1.3125 |
| No log | 2.0 | 174 | 1.8446 | 0.0504 | 1.8446 | 1.3582 |
| No log | 2.0230 | 176 | 2.0699 | 0.0864 | 2.0699 | 1.4387 |
| No log | 2.0460 | 178 | 2.1224 | 0.0816 | 2.1224 | 1.4568 |
| No log | 2.0690 | 180 | 2.1037 | 0.0595 | 2.1037 | 1.4504 |
| No log | 2.0920 | 182 | 1.9484 | -0.0008 | 1.9484 | 1.3958 |
| No log | 2.1149 | 184 | 1.7112 | 0.0315 | 1.7112 | 1.3081 |
| No log | 2.1379 | 186 | 1.6736 | -0.0059 | 1.6736 | 1.2937 |
| No log | 2.1609 | 188 | 1.6631 | 0.1135 | 1.6631 | 1.2896 |
| No log | 2.1839 | 190 | 1.9442 | 0.0377 | 1.9442 | 1.3943 |
| No log | 2.2069 | 192 | 2.3165 | 0.0588 | 2.3165 | 1.5220 |
| No log | 2.2299 | 194 | 2.2487 | 0.0588 | 2.2487 | 1.4996 |
| No log | 2.2529 | 196 | 1.8829 | 0.0377 | 1.8829 | 1.3722 |
| No log | 2.2759 | 198 | 1.7791 | 0.0698 | 1.7791 | 1.3338 |
| No log | 2.2989 | 200 | 1.8900 | 0.0447 | 1.8900 | 1.3748 |
| No log | 2.3218 | 202 | 1.8674 | 0.0504 | 1.8674 | 1.3665 |
| No log | 2.3448 | 204 | 1.8658 | 0.0571 | 1.8658 | 1.3659 |
| No log | 2.3678 | 206 | 1.7003 | 0.0108 | 1.7003 | 1.3039 |
| No log | 2.3908 | 208 | 1.7236 | 0.0108 | 1.7236 | 1.3129 |
| No log | 2.4138 | 210 | 1.8649 | 0.0705 | 1.8649 | 1.3656 |
| No log | 2.4368 | 212 | 1.8868 | 0.0573 | 1.8868 | 1.3736 |
| No log | 2.4598 | 214 | 1.7025 | 0.0080 | 1.7025 | 1.3048 |
| No log | 2.4828 | 216 | 1.7399 | -0.0121 | 1.7399 | 1.3191 |
| No log | 2.5057 | 218 | 1.8382 | 0.0393 | 1.8382 | 1.3558 |
| No log | 2.5287 | 220 | 2.0531 | 0.0273 | 2.0531 | 1.4329 |
| No log | 2.5517 | 222 | 1.9129 | 0.0754 | 1.9129 | 1.3831 |
| No log | 2.5747 | 224 | 1.6398 | 0.0018 | 1.6398 | 1.2805 |
| No log | 2.5977 | 226 | 1.5716 | -0.0146 | 1.5716 | 1.2536 |
| No log | 2.6207 | 228 | 1.6821 | 0.0336 | 1.6821 | 1.2970 |
| No log | 2.6437 | 230 | 1.9210 | 0.1240 | 1.9210 | 1.3860 |
| No log | 2.6667 | 232 | 1.8576 | 0.1260 | 1.8576 | 1.3629 |
| No log | 2.6897 | 234 | 1.6585 | 0.0679 | 1.6585 | 1.2878 |
| No log | 2.7126 | 236 | 1.5924 | 0.0458 | 1.5924 | 1.2619 |
| No log | 2.7356 | 238 | 1.7438 | 0.1037 | 1.7438 | 1.3205 |
| No log | 2.7586 | 240 | 2.0959 | 0.0864 | 2.0959 | 1.4477 |
| No log | 2.7816 | 242 | 2.0794 | 0.0818 | 2.0794 | 1.4420 |
| No log | 2.8046 | 244 | 1.7754 | 0.1089 | 1.7754 | 1.3324 |
| No log | 2.8276 | 246 | 1.6927 | 0.0785 | 1.6927 | 1.3011 |
| No log | 2.8506 | 248 | 1.7535 | 0.0643 | 1.7535 | 1.3242 |
| No log | 2.8736 | 250 | 1.8685 | 0.1473 | 1.8685 | 1.3669 |
| No log | 2.8966 | 252 | 1.6966 | 0.0902 | 1.6966 | 1.3025 |
| No log | 2.9195 | 254 | 1.5573 | 0.0691 | 1.5573 | 1.2479 |
| No log | 2.9425 | 256 | 1.4871 | 0.0464 | 1.4871 | 1.2195 |
| No log | 2.9655 | 258 | 1.5470 | 0.0691 | 1.5470 | 1.2438 |
| No log | 2.9885 | 260 | 1.6952 | 0.0461 | 1.6952 | 1.3020 |
| No log | 3.0115 | 262 | 1.7053 | 0.0534 | 1.7053 | 1.3059 |
| No log | 3.0345 | 264 | 1.7337 | 0.0792 | 1.7337 | 1.3167 |
| No log | 3.0575 | 266 | 1.6908 | 0.0794 | 1.6908 | 1.3003 |
| No log | 3.0805 | 268 | 1.6655 | 0.0592 | 1.6655 | 1.2905 |
| No log | 3.1034 | 270 | 1.7201 | 0.0922 | 1.7201 | 1.3115 |
| No log | 3.1264 | 272 | 1.8489 | 0.0495 | 1.8489 | 1.3597 |
| No log | 3.1494 | 274 | 2.0201 | 0.1619 | 2.0201 | 1.4213 |
| No log | 3.1724 | 276 | 1.9658 | 0.1409 | 1.9658 | 1.4021 |
| No log | 3.1954 | 278 | 1.6546 | 0.0525 | 1.6546 | 1.2863 |
| No log | 3.2184 | 280 | 1.5313 | 0.0608 | 1.5313 | 1.2375 |
| No log | 3.2414 | 282 | 1.4830 | 0.0795 | 1.4830 | 1.2178 |
| No log | 3.2644 | 284 | 1.4926 | 0.1429 | 1.4926 | 1.2217 |
| No log | 3.2874 | 286 | 1.4620 | 0.0795 | 1.4620 | 1.2092 |
| No log | 3.3103 | 288 | 1.4811 | 0.0705 | 1.4811 | 1.2170 |
| No log | 3.3333 | 290 | 1.5276 | 0.0682 | 1.5276 | 1.2360 |
| No log | 3.3563 | 292 | 1.6269 | 0.0439 | 1.6269 | 1.2755 |
| No log | 3.3793 | 294 | 1.8069 | 0.1100 | 1.8069 | 1.3442 |
| No log | 3.4023 | 296 | 2.2030 | 0.0482 | 2.2030 | 1.4842 |
| No log | 3.4253 | 298 | 2.3547 | 0.0336 | 2.3547 | 1.5345 |
| No log | 3.4483 | 300 | 2.2157 | 0.0385 | 2.2157 | 1.4885 |
| No log | 3.4713 | 302 | 1.8938 | 0.1261 | 1.8938 | 1.3762 |
| No log | 3.4943 | 304 | 1.6092 | 0.1037 | 1.6092 | 1.2685 |
| No log | 3.5172 | 306 | 1.5127 | 0.0698 | 1.5127 | 1.2299 |
| No log | 3.5402 | 308 | 1.5408 | 0.1252 | 1.5408 | 1.2413 |
| No log | 3.5632 | 310 | 1.5684 | 0.1310 | 1.5684 | 1.2524 |
| No log | 3.5862 | 312 | 1.5308 | 0.1252 | 1.5308 | 1.2372 |
| No log | 3.6092 | 314 | 1.4490 | -0.0174 | 1.4490 | 1.2037 |
| No log | 3.6322 | 316 | 1.4822 | 0.0152 | 1.4822 | 1.2175 |
| No log | 3.6552 | 318 | 1.6320 | 0.0927 | 1.6320 | 1.2775 |
| No log | 3.6782 | 320 | 1.9716 | 0.1448 | 1.9716 | 1.4041 |
| No log | 3.7011 | 322 | 2.0446 | 0.1201 | 2.0446 | 1.4299 |
| No log | 3.7241 | 324 | 1.8575 | 0.1191 | 1.8575 | 1.3629 |
| No log | 3.7471 | 326 | 1.5607 | 0.1252 | 1.5607 | 1.2493 |
| No log | 3.7701 | 328 | 1.4237 | -0.0324 | 1.4237 | 1.1932 |
| No log | 3.7931 | 330 | 1.4269 | -0.0324 | 1.4269 | 1.1945 |
| No log | 3.8161 | 332 | 1.4582 | -0.0848 | 1.4582 | 1.2076 |
| No log | 3.8391 | 334 | 1.6365 | 0.1152 | 1.6365 | 1.2793 |
| No log | 3.8621 | 336 | 1.9493 | 0.1152 | 1.9493 | 1.3962 |
| No log | 3.8851 | 338 | 2.0086 | 0.0735 | 2.0086 | 1.4172 |
| No log | 3.9080 | 340 | 1.8222 | 0.1328 | 1.8222 | 1.3499 |
| No log | 3.9310 | 342 | 1.5623 | 0.1417 | 1.5623 | 1.2499 |
| No log | 3.9540 | 344 | 1.4596 | -0.0465 | 1.4596 | 1.2081 |
| No log | 3.9770 | 346 | 1.4549 | -0.0042 | 1.4549 | 1.2062 |
| No log | 4.0 | 348 | 1.5306 | 0.0784 | 1.5306 | 1.2372 |
| No log | 4.0230 | 350 | 1.6458 | 0.1599 | 1.6458 | 1.2829 |
| No log | 4.0460 | 352 | 1.7698 | 0.1543 | 1.7698 | 1.3303 |
| No log | 4.0690 | 354 | 1.8689 | 0.0828 | 1.8689 | 1.3671 |
| No log | 4.0920 | 356 | 1.8421 | 0.1282 | 1.8421 | 1.3572 |
| No log | 4.1149 | 358 | 1.7093 | 0.1358 | 1.7093 | 1.3074 |
| No log | 4.1379 | 360 | 1.6425 | 0.1387 | 1.6425 | 1.2816 |
| No log | 4.1609 | 362 | 1.6019 | 0.1334 | 1.6019 | 1.2656 |
| No log | 4.1839 | 364 | 1.7277 | 0.1233 | 1.7277 | 1.3144 |
| No log | 4.2069 | 366 | 1.7485 | 0.1186 | 1.7485 | 1.3223 |
| No log | 4.2299 | 368 | 1.7302 | 0.1386 | 1.7302 | 1.3154 |
| No log | 4.2529 | 370 | 1.5606 | 0.1404 | 1.5606 | 1.2492 |
| No log | 4.2759 | 372 | 1.4022 | 0.0700 | 1.4022 | 1.1842 |
| No log | 4.2989 | 374 | 1.3718 | 0.0107 | 1.3718 | 1.1713 |
| No log | 4.3218 | 376 | 1.3774 | 0.0107 | 1.3774 | 1.1736 |
| No log | 4.3448 | 378 | 1.3932 | 0.0400 | 1.3932 | 1.1803 |
| No log | 4.3678 | 380 | 1.3942 | 0.0771 | 1.3942 | 1.1808 |
| No log | 4.3908 | 382 | 1.4475 | 0.1020 | 1.4475 | 1.2031 |
| No log | 4.4138 | 384 | 1.5678 | 0.0818 | 1.5678 | 1.2521 |
| No log | 4.4368 | 386 | 1.7641 | 0.0681 | 1.7641 | 1.3282 |
| No log | 4.4598 | 388 | 1.8701 | 0.1237 | 1.8701 | 1.3675 |
| No log | 4.4828 | 390 | 1.8673 | 0.1059 | 1.8673 | 1.3665 |
| No log | 4.5057 | 392 | 1.8469 | 0.1627 | 1.8469 | 1.3590 |
| No log | 4.5287 | 394 | 1.8695 | 0.1216 | 1.8695 | 1.3673 |
| No log | 4.5517 | 396 | 1.9119 | 0.0805 | 1.9119 | 1.3827 |
| No log | 4.5747 | 398 | 1.9267 | 0.0111 | 1.9267 | 1.3881 |
| No log | 4.5977 | 400 | 1.7929 | 0.1483 | 1.7929 | 1.3390 |
| No log | 4.6207 | 402 | 1.6965 | 0.1336 | 1.6965 | 1.3025 |
| No log | 4.6437 | 404 | 1.5875 | 0.0724 | 1.5875 | 1.2599 |
| No log | 4.6667 | 406 | 1.4863 | 0.1067 | 1.4863 | 1.2191 |
| No log | 4.6897 | 408 | 1.4712 | 0.0333 | 1.4712 | 1.2129 |
| No log | 4.7126 | 410 | 1.5359 | 0.1254 | 1.5359 | 1.2393 |
| No log | 4.7356 | 412 | 1.6907 | 0.1639 | 1.6907 | 1.3003 |
| No log | 4.7586 | 414 | 1.8176 | 0.1513 | 1.8176 | 1.3482 |
| No log | 4.7816 | 416 | 1.8124 | 0.1513 | 1.8124 | 1.3463 |
| No log | 4.8046 | 418 | 1.7359 | 0.1470 | 1.7359 | 1.3176 |
| No log | 4.8276 | 420 | 1.7403 | 0.1470 | 1.7403 | 1.3192 |
| No log | 4.8506 | 422 | 1.7811 | 0.1191 | 1.7811 | 1.3346 |
| No log | 4.8736 | 424 | 1.7050 | 0.1332 | 1.7050 | 1.3058 |
| No log | 4.8966 | 426 | 1.6224 | 0.1336 | 1.6224 | 1.2737 |
| No log | 4.9195 | 428 | 1.5730 | 0.1146 | 1.5730 | 1.2542 |
| No log | 4.9425 | 430 | 1.5715 | 0.0987 | 1.5715 | 1.2536 |
| No log | 4.9655 | 432 | 1.7347 | 0.0938 | 1.7347 | 1.3171 |
| No log | 4.9885 | 434 | 1.9453 | 0.0618 | 1.9453 | 1.3947 |
| No log | 5.0115 | 436 | 2.0895 | 0.0918 | 2.0895 | 1.4455 |
| No log | 5.0345 | 438 | 2.0510 | 0.1093 | 2.0510 | 1.4321 |
| No log | 5.0575 | 440 | 1.7786 | 0.1349 | 1.7786 | 1.3336 |
| No log | 5.0805 | 442 | 1.5474 | 0.1174 | 1.5474 | 1.2439 |
| No log | 5.1034 | 444 | 1.4741 | 0.0714 | 1.4741 | 1.2141 |
| No log | 5.1264 | 446 | 1.4592 | -0.0274 | 1.4592 | 1.2080 |
| No log | 5.1494 | 448 | 1.4418 | -0.0274 | 1.4418 | 1.2008 |
| No log | 5.1724 | 450 | 1.4568 | -0.0092 | 1.4568 | 1.2070 |
| No log | 5.1954 | 452 | 1.5573 | 0.0020 | 1.5573 | 1.2479 |
| No log | 5.2184 | 454 | 1.7412 | 0.1639 | 1.7412 | 1.3196 |
| No log | 5.2414 | 456 | 1.8062 | 0.0992 | 1.8062 | 1.3440 |
| No log | 5.2644 | 458 | 1.7086 | 0.1336 | 1.7086 | 1.3071 |
| No log | 5.2874 | 460 | 1.5514 | -0.0161 | 1.5514 | 1.2455 |
| No log | 5.3103 | 462 | 1.4593 | -0.0364 | 1.4593 | 1.2080 |
| No log | 5.3333 | 464 | 1.4558 | -0.0197 | 1.4558 | 1.2065 |
| No log | 5.3563 | 466 | 1.4909 | -0.0020 | 1.4909 | 1.2210 |
| No log | 5.3793 | 468 | 1.5959 | 0.0693 | 1.5959 | 1.2633 |
| No log | 5.4023 | 470 | 1.6351 | 0.0952 | 1.6351 | 1.2787 |
| No log | 5.4253 | 472 | 1.6118 | 0.0834 | 1.6118 | 1.2696 |
| No log | 5.4483 | 474 | 1.5366 | -0.0132 | 1.5366 | 1.2396 |
| No log | 5.4713 | 476 | 1.4377 | 0.0334 | 1.4377 | 1.1990 |
| No log | 5.4943 | 478 | 1.3713 | 0.0302 | 1.3713 | 1.1710 |
| No log | 5.5172 | 480 | 1.3782 | 0.0302 | 1.3782 | 1.1740 |
| No log | 5.5402 | 482 | 1.4437 | 0.0675 | 1.4437 | 1.2015 |
| No log | 5.5632 | 484 | 1.5702 | 0.0339 | 1.5702 | 1.2531 |
| No log | 5.5862 | 486 | 1.6790 | 0.0952 | 1.6790 | 1.2958 |
| No log | 5.6092 | 488 | 1.6812 | 0.0952 | 1.6812 | 1.2966 |
| No log | 5.6322 | 490 | 1.6168 | 0.0732 | 1.6168 | 1.2715 |
| No log | 5.6552 | 492 | 1.5178 | 0.1282 | 1.5178 | 1.2320 |
| No log | 5.6782 | 494 | 1.4474 | 0.0246 | 1.4474 | 1.2031 |
| No log | 5.7011 | 496 | 1.4814 | 0.0692 | 1.4814 | 1.2171 |
| No log | 5.7241 | 498 | 1.5241 | 0.0692 | 1.5241 | 1.2346 |
| 0.3947 | 5.7471 | 500 | 1.6509 | 0.0987 | 1.6509 | 1.2849 |
| 0.3947 | 5.7701 | 502 | 1.8488 | 0.1123 | 1.8488 | 1.3597 |
| 0.3947 | 5.7931 | 504 | 1.8080 | 0.0891 | 1.8080 | 1.3446 |
| 0.3947 | 5.8161 | 506 | 1.5834 | 0.0878 | 1.5834 | 1.2583 |
| 0.3947 | 5.8391 | 508 | 1.4604 | 0.0334 | 1.4604 | 1.2085 |
| 0.3947 | 5.8621 | 510 | 1.4473 | 0.0246 | 1.4473 | 1.2030 |
| 0.3947 | 5.8851 | 512 | 1.4561 | 0.0612 | 1.4561 | 1.2067 |
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_k17_task2_organization
Base model
aubmindlab/bert-base-arabertv02