ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k2_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: 0.9876
- Qwk: 0.3199
- Mse: 0.9876
- Rmse: 0.9938
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 | 0.25 | 2 | 4.5308 | -0.0132 | 4.5308 | 2.1286 |
No log | 0.5 | 4 | 2.5370 | -0.0124 | 2.5370 | 1.5928 |
No log | 0.75 | 6 | 2.4975 | -0.1115 | 2.4975 | 1.5804 |
No log | 1.0 | 8 | 2.0698 | -0.0233 | 2.0698 | 1.4387 |
No log | 1.25 | 10 | 1.6735 | 0.0372 | 1.6735 | 1.2936 |
No log | 1.5 | 12 | 1.5178 | -0.0149 | 1.5178 | 1.2320 |
No log | 1.75 | 14 | 1.3612 | 0.0426 | 1.3612 | 1.1667 |
No log | 2.0 | 16 | 1.3926 | 0.1196 | 1.3926 | 1.1801 |
No log | 2.25 | 18 | 1.3771 | 0.1288 | 1.3771 | 1.1735 |
No log | 2.5 | 20 | 1.4008 | 0.1196 | 1.4008 | 1.1835 |
No log | 2.75 | 22 | 1.4026 | 0.0688 | 1.4026 | 1.1843 |
No log | 3.0 | 24 | 1.4468 | 0.0723 | 1.4468 | 1.2028 |
No log | 3.25 | 26 | 1.5522 | 0.0317 | 1.5522 | 1.2459 |
No log | 3.5 | 28 | 1.6170 | 0.0 | 1.6170 | 1.2716 |
No log | 3.75 | 30 | 1.4985 | 0.0723 | 1.4985 | 1.2241 |
No log | 4.0 | 32 | 1.4732 | 0.0038 | 1.4732 | 1.2137 |
No log | 4.25 | 34 | 1.5301 | 0.0878 | 1.5301 | 1.2370 |
No log | 4.5 | 36 | 1.4363 | 0.1404 | 1.4363 | 1.1985 |
No log | 4.75 | 38 | 1.4120 | 0.1827 | 1.4120 | 1.1883 |
No log | 5.0 | 40 | 1.2871 | 0.2014 | 1.2871 | 1.1345 |
No log | 5.25 | 42 | 1.2469 | 0.1865 | 1.2469 | 1.1166 |
No log | 5.5 | 44 | 1.1438 | 0.2589 | 1.1438 | 1.0695 |
No log | 5.75 | 46 | 1.1072 | 0.2137 | 1.1072 | 1.0522 |
No log | 6.0 | 48 | 1.1476 | 0.2491 | 1.1476 | 1.0713 |
No log | 6.25 | 50 | 1.2379 | 0.1772 | 1.2379 | 1.1126 |
No log | 6.5 | 52 | 1.4566 | 0.1334 | 1.4566 | 1.2069 |
No log | 6.75 | 54 | 1.7109 | 0.1488 | 1.7109 | 1.3080 |
No log | 7.0 | 56 | 1.9536 | 0.1619 | 1.9536 | 1.3977 |
No log | 7.25 | 58 | 1.8873 | 0.0765 | 1.8873 | 1.3738 |
No log | 7.5 | 60 | 1.4988 | 0.1659 | 1.4988 | 1.2242 |
No log | 7.75 | 62 | 1.2174 | 0.2351 | 1.2174 | 1.1034 |
No log | 8.0 | 64 | 1.0867 | 0.2687 | 1.0867 | 1.0425 |
No log | 8.25 | 66 | 1.0650 | 0.3035 | 1.0650 | 1.0320 |
No log | 8.5 | 68 | 1.0867 | 0.3035 | 1.0867 | 1.0425 |
No log | 8.75 | 70 | 1.1072 | 0.3183 | 1.1072 | 1.0522 |
No log | 9.0 | 72 | 1.1770 | 0.3183 | 1.1770 | 1.0849 |
No log | 9.25 | 74 | 1.1724 | 0.2735 | 1.1724 | 1.0828 |
No log | 9.5 | 76 | 1.2904 | 0.2507 | 1.2904 | 1.1360 |
No log | 9.75 | 78 | 1.5222 | 0.2146 | 1.5222 | 1.2338 |
No log | 10.0 | 80 | 1.5433 | 0.2413 | 1.5433 | 1.2423 |
No log | 10.25 | 82 | 1.4766 | 0.2418 | 1.4766 | 1.2152 |
No log | 10.5 | 84 | 1.1661 | 0.2890 | 1.1661 | 1.0799 |
No log | 10.75 | 86 | 1.0403 | 0.4236 | 1.0403 | 1.0199 |
No log | 11.0 | 88 | 1.0107 | 0.2614 | 1.0107 | 1.0053 |
No log | 11.25 | 90 | 0.9915 | 0.3483 | 0.9915 | 0.9958 |
No log | 11.5 | 92 | 0.9892 | 0.3541 | 0.9892 | 0.9946 |
No log | 11.75 | 94 | 1.0884 | 0.3985 | 1.0884 | 1.0433 |
No log | 12.0 | 96 | 1.1776 | 0.3005 | 1.1776 | 1.0852 |
No log | 12.25 | 98 | 1.0761 | 0.4248 | 1.0761 | 1.0374 |
No log | 12.5 | 100 | 0.9896 | 0.3486 | 0.9896 | 0.9948 |
No log | 12.75 | 102 | 0.9521 | 0.4158 | 0.9521 | 0.9758 |
No log | 13.0 | 104 | 0.9540 | 0.3596 | 0.9540 | 0.9767 |
No log | 13.25 | 106 | 0.9844 | 0.4213 | 0.9844 | 0.9922 |
No log | 13.5 | 108 | 1.0736 | 0.3739 | 1.0736 | 1.0362 |
No log | 13.75 | 110 | 1.0895 | 0.3430 | 1.0895 | 1.0438 |
No log | 14.0 | 112 | 1.0226 | 0.4033 | 1.0226 | 1.0112 |
No log | 14.25 | 114 | 0.9797 | 0.4135 | 0.9797 | 0.9898 |
No log | 14.5 | 116 | 0.9261 | 0.3814 | 0.9261 | 0.9624 |
No log | 14.75 | 118 | 0.9450 | 0.4393 | 0.9450 | 0.9721 |
No log | 15.0 | 120 | 0.9828 | 0.3433 | 0.9828 | 0.9913 |
No log | 15.25 | 122 | 1.2611 | 0.2823 | 1.2611 | 1.1230 |
No log | 15.5 | 124 | 1.4279 | 0.3248 | 1.4279 | 1.1949 |
No log | 15.75 | 126 | 1.2609 | 0.2716 | 1.2609 | 1.1229 |
No log | 16.0 | 128 | 1.1001 | 0.2461 | 1.1001 | 1.0489 |
No log | 16.25 | 130 | 1.0860 | 0.2759 | 1.0860 | 1.0421 |
No log | 16.5 | 132 | 1.1606 | 0.2824 | 1.1606 | 1.0773 |
No log | 16.75 | 134 | 1.2140 | 0.2731 | 1.2140 | 1.1018 |
No log | 17.0 | 136 | 1.1191 | 0.3149 | 1.1191 | 1.0579 |
No log | 17.25 | 138 | 1.0471 | 0.3723 | 1.0471 | 1.0233 |
No log | 17.5 | 140 | 1.0143 | 0.3601 | 1.0143 | 1.0071 |
No log | 17.75 | 142 | 1.0077 | 0.4013 | 1.0077 | 1.0038 |
No log | 18.0 | 144 | 0.9613 | 0.4450 | 0.9613 | 0.9804 |
No log | 18.25 | 146 | 1.0456 | 0.3243 | 1.0456 | 1.0225 |
No log | 18.5 | 148 | 1.0878 | 0.3763 | 1.0878 | 1.0430 |
No log | 18.75 | 150 | 0.9877 | 0.3965 | 0.9877 | 0.9938 |
No log | 19.0 | 152 | 0.9587 | 0.4646 | 0.9587 | 0.9791 |
No log | 19.25 | 154 | 0.9744 | 0.4493 | 0.9744 | 0.9871 |
No log | 19.5 | 156 | 0.9632 | 0.4898 | 0.9632 | 0.9814 |
No log | 19.75 | 158 | 0.9764 | 0.4609 | 0.9764 | 0.9881 |
No log | 20.0 | 160 | 0.9838 | 0.4609 | 0.9838 | 0.9919 |
No log | 20.25 | 162 | 0.9898 | 0.4995 | 0.9898 | 0.9949 |
No log | 20.5 | 164 | 1.0125 | 0.4013 | 1.0125 | 1.0062 |
No log | 20.75 | 166 | 1.0015 | 0.4540 | 1.0015 | 1.0007 |
No log | 21.0 | 168 | 1.0087 | 0.3596 | 1.0087 | 1.0043 |
No log | 21.25 | 170 | 1.0598 | 0.2851 | 1.0598 | 1.0295 |
No log | 21.5 | 172 | 1.0729 | 0.3280 | 1.0729 | 1.0358 |
No log | 21.75 | 174 | 1.0245 | 0.3596 | 1.0245 | 1.0122 |
No log | 22.0 | 176 | 1.0141 | 0.3692 | 1.0141 | 1.0070 |
No log | 22.25 | 178 | 1.0226 | 0.3692 | 1.0226 | 1.0112 |
No log | 22.5 | 180 | 1.0632 | 0.3059 | 1.0632 | 1.0311 |
No log | 22.75 | 182 | 1.0696 | 0.3433 | 1.0696 | 1.0342 |
No log | 23.0 | 184 | 1.0689 | 0.3433 | 1.0689 | 1.0339 |
No log | 23.25 | 186 | 1.0599 | 0.3179 | 1.0599 | 1.0295 |
No log | 23.5 | 188 | 1.0564 | 0.3199 | 1.0564 | 1.0278 |
No log | 23.75 | 190 | 1.0740 | 0.3418 | 1.0740 | 1.0363 |
No log | 24.0 | 192 | 1.1258 | 0.3701 | 1.1258 | 1.0610 |
No log | 24.25 | 194 | 1.0621 | 0.3433 | 1.0621 | 1.0306 |
No log | 24.5 | 196 | 1.0245 | 0.3107 | 1.0245 | 1.0122 |
No log | 24.75 | 198 | 1.0289 | 0.3293 | 1.0289 | 1.0144 |
No log | 25.0 | 200 | 1.0404 | 0.2158 | 1.0404 | 1.0200 |
No log | 25.25 | 202 | 1.0833 | 0.3157 | 1.0833 | 1.0408 |
No log | 25.5 | 204 | 1.1102 | 0.2864 | 1.1102 | 1.0537 |
No log | 25.75 | 206 | 1.0750 | 0.3157 | 1.0750 | 1.0368 |
No log | 26.0 | 208 | 1.0433 | 0.3210 | 1.0433 | 1.0214 |
No log | 26.25 | 210 | 1.0488 | 0.2665 | 1.0488 | 1.0241 |
No log | 26.5 | 212 | 1.0982 | 0.3402 | 1.0982 | 1.0480 |
No log | 26.75 | 214 | 1.1545 | 0.2609 | 1.1545 | 1.0745 |
No log | 27.0 | 216 | 1.2579 | 0.2833 | 1.2579 | 1.1215 |
No log | 27.25 | 218 | 1.1934 | 0.3071 | 1.1934 | 1.0924 |
No log | 27.5 | 220 | 1.0486 | 0.3338 | 1.0486 | 1.0240 |
No log | 27.75 | 222 | 1.0009 | 0.3821 | 1.0009 | 1.0004 |
No log | 28.0 | 224 | 1.0240 | 0.3154 | 1.0240 | 1.0119 |
No log | 28.25 | 226 | 1.0907 | 0.3010 | 1.0907 | 1.0444 |
No log | 28.5 | 228 | 1.1315 | 0.3173 | 1.1315 | 1.0637 |
No log | 28.75 | 230 | 1.1164 | 0.2748 | 1.1164 | 1.0566 |
No log | 29.0 | 232 | 1.0631 | 0.3059 | 1.0631 | 1.0311 |
No log | 29.25 | 234 | 1.0544 | 0.3059 | 1.0544 | 1.0269 |
No log | 29.5 | 236 | 1.0716 | 0.2824 | 1.0716 | 1.0352 |
No log | 29.75 | 238 | 1.1387 | 0.3007 | 1.1387 | 1.0671 |
No log | 30.0 | 240 | 1.1421 | 0.3007 | 1.1421 | 1.0687 |
No log | 30.25 | 242 | 1.0908 | 0.2796 | 1.0908 | 1.0444 |
No log | 30.5 | 244 | 1.1074 | 0.2870 | 1.1074 | 1.0524 |
No log | 30.75 | 246 | 1.1352 | 0.2762 | 1.1352 | 1.0655 |
No log | 31.0 | 248 | 1.1204 | 0.2916 | 1.1204 | 1.0585 |
No log | 31.25 | 250 | 1.1053 | 0.2891 | 1.1053 | 1.0513 |
No log | 31.5 | 252 | 1.1145 | 0.2815 | 1.1145 | 1.0557 |
No log | 31.75 | 254 | 1.0993 | 0.2844 | 1.0993 | 1.0485 |
No log | 32.0 | 256 | 1.0471 | 0.2988 | 1.0471 | 1.0233 |
No log | 32.25 | 258 | 1.0427 | 0.3086 | 1.0427 | 1.0211 |
No log | 32.5 | 260 | 1.0736 | 0.2618 | 1.0736 | 1.0361 |
No log | 32.75 | 262 | 1.1176 | 0.2560 | 1.1176 | 1.0572 |
No log | 33.0 | 264 | 1.1909 | 0.3052 | 1.1909 | 1.0913 |
No log | 33.25 | 266 | 1.2371 | 0.2411 | 1.2371 | 1.1122 |
No log | 33.5 | 268 | 1.1636 | 0.2609 | 1.1636 | 1.0787 |
No log | 33.75 | 270 | 1.0911 | 0.2665 | 1.0911 | 1.0445 |
No log | 34.0 | 272 | 1.0917 | 0.2665 | 1.0917 | 1.0448 |
No log | 34.25 | 274 | 1.1309 | 0.3321 | 1.1309 | 1.0634 |
No log | 34.5 | 276 | 1.1481 | 0.3750 | 1.1481 | 1.0715 |
No log | 34.75 | 278 | 1.1650 | 0.3424 | 1.1650 | 1.0793 |
No log | 35.0 | 280 | 1.2577 | 0.3127 | 1.2577 | 1.1215 |
No log | 35.25 | 282 | 1.3681 | 0.3159 | 1.3681 | 1.1696 |
No log | 35.5 | 284 | 1.3199 | 0.3159 | 1.3199 | 1.1489 |
No log | 35.75 | 286 | 1.2157 | 0.3152 | 1.2157 | 1.1026 |
No log | 36.0 | 288 | 1.0826 | 0.3199 | 1.0826 | 1.0405 |
No log | 36.25 | 290 | 1.0281 | 0.3263 | 1.0281 | 1.0139 |
No log | 36.5 | 292 | 1.0189 | 0.3263 | 1.0189 | 1.0094 |
No log | 36.75 | 294 | 1.0297 | 0.3086 | 1.0297 | 1.0147 |
No log | 37.0 | 296 | 1.0977 | 0.3665 | 1.0977 | 1.0477 |
No log | 37.25 | 298 | 1.2050 | 0.2918 | 1.2050 | 1.0977 |
No log | 37.5 | 300 | 1.1999 | 0.2918 | 1.1999 | 1.0954 |
No log | 37.75 | 302 | 1.1359 | 0.3314 | 1.1359 | 1.0658 |
No log | 38.0 | 304 | 1.0609 | 0.3406 | 1.0609 | 1.0300 |
No log | 38.25 | 306 | 1.0437 | 0.3406 | 1.0437 | 1.0216 |
No log | 38.5 | 308 | 1.0653 | 0.3406 | 1.0653 | 1.0321 |
No log | 38.75 | 310 | 1.1643 | 0.3355 | 1.1643 | 1.0790 |
No log | 39.0 | 312 | 1.2252 | 0.2983 | 1.2252 | 1.1069 |
No log | 39.25 | 314 | 1.1639 | 0.3497 | 1.1639 | 1.0788 |
No log | 39.5 | 316 | 1.0562 | 0.3448 | 1.0562 | 1.0277 |
No log | 39.75 | 318 | 1.0014 | 0.3639 | 1.0014 | 1.0007 |
No log | 40.0 | 320 | 1.0004 | 0.4141 | 1.0004 | 1.0002 |
No log | 40.25 | 322 | 1.0040 | 0.3838 | 1.0040 | 1.0020 |
No log | 40.5 | 324 | 1.0193 | 0.3500 | 1.0193 | 1.0096 |
No log | 40.75 | 326 | 1.0390 | 0.3250 | 1.0390 | 1.0193 |
No log | 41.0 | 328 | 1.0668 | 0.2777 | 1.0668 | 1.0329 |
No log | 41.25 | 330 | 1.0707 | 0.2700 | 1.0707 | 1.0347 |
No log | 41.5 | 332 | 1.0523 | 0.3036 | 1.0523 | 1.0258 |
No log | 41.75 | 334 | 1.0364 | 0.3126 | 1.0364 | 1.0180 |
No log | 42.0 | 336 | 1.0404 | 0.3126 | 1.0404 | 1.0200 |
No log | 42.25 | 338 | 1.0640 | 0.3126 | 1.0640 | 1.0315 |
No log | 42.5 | 340 | 1.0851 | 0.3231 | 1.0851 | 1.0417 |
No log | 42.75 | 342 | 1.0918 | 0.3231 | 1.0918 | 1.0449 |
No log | 43.0 | 344 | 1.0476 | 0.3126 | 1.0476 | 1.0235 |
No log | 43.25 | 346 | 1.0235 | 0.3371 | 1.0235 | 1.0117 |
No log | 43.5 | 348 | 1.0229 | 0.3371 | 1.0229 | 1.0114 |
No log | 43.75 | 350 | 1.0571 | 0.3625 | 1.0571 | 1.0281 |
No log | 44.0 | 352 | 1.1547 | 0.3052 | 1.1547 | 1.0746 |
No log | 44.25 | 354 | 1.2030 | 0.3113 | 1.2030 | 1.0968 |
No log | 44.5 | 356 | 1.1641 | 0.3380 | 1.1641 | 1.0789 |
No log | 44.75 | 358 | 1.0872 | 0.3466 | 1.0872 | 1.0427 |
No log | 45.0 | 360 | 1.0147 | 0.3199 | 1.0147 | 1.0073 |
No log | 45.25 | 362 | 0.9933 | 0.3583 | 0.9933 | 0.9966 |
No log | 45.5 | 364 | 0.9959 | 0.3879 | 0.9959 | 0.9980 |
No log | 45.75 | 366 | 1.0185 | 0.3371 | 1.0185 | 1.0092 |
No log | 46.0 | 368 | 1.1037 | 0.3255 | 1.1037 | 1.0506 |
No log | 46.25 | 370 | 1.2389 | 0.3166 | 1.2389 | 1.1130 |
No log | 46.5 | 372 | 1.2834 | 0.3166 | 1.2834 | 1.1329 |
No log | 46.75 | 374 | 1.2483 | 0.2833 | 1.2483 | 1.1173 |
No log | 47.0 | 376 | 1.1530 | 0.2718 | 1.1530 | 1.0738 |
No log | 47.25 | 378 | 1.0826 | 0.3133 | 1.0826 | 1.0405 |
No log | 47.5 | 380 | 1.0476 | 0.2665 | 1.0476 | 1.0235 |
No log | 47.75 | 382 | 1.0329 | 0.2764 | 1.0329 | 1.0163 |
No log | 48.0 | 384 | 1.0286 | 0.2864 | 1.0286 | 1.0142 |
No log | 48.25 | 386 | 1.0332 | 0.3086 | 1.0332 | 1.0165 |
No log | 48.5 | 388 | 1.0538 | 0.2942 | 1.0538 | 1.0266 |
No log | 48.75 | 390 | 1.0895 | 0.2851 | 1.0895 | 1.0438 |
No log | 49.0 | 392 | 1.1437 | 0.3497 | 1.1437 | 1.0695 |
No log | 49.25 | 394 | 1.1454 | 0.3497 | 1.1454 | 1.0702 |
No log | 49.5 | 396 | 1.1095 | 0.3142 | 1.1095 | 1.0533 |
No log | 49.75 | 398 | 1.0654 | 0.2851 | 1.0654 | 1.0322 |
No log | 50.0 | 400 | 1.0497 | 0.3262 | 1.0497 | 1.0245 |
No log | 50.25 | 402 | 1.0359 | 0.3262 | 1.0359 | 1.0178 |
No log | 50.5 | 404 | 1.0359 | 0.3355 | 1.0359 | 1.0178 |
No log | 50.75 | 406 | 1.0469 | 0.3355 | 1.0469 | 1.0232 |
No log | 51.0 | 408 | 1.0602 | 0.3262 | 1.0602 | 1.0297 |
No log | 51.25 | 410 | 1.0820 | 0.2851 | 1.0820 | 1.0402 |
No log | 51.5 | 412 | 1.1048 | 0.2851 | 1.1048 | 1.0511 |
No log | 51.75 | 414 | 1.0922 | 0.2851 | 1.0922 | 1.0451 |
No log | 52.0 | 416 | 1.0805 | 0.2851 | 1.0805 | 1.0395 |
No log | 52.25 | 418 | 1.0907 | 0.2851 | 1.0907 | 1.0444 |
No log | 52.5 | 420 | 1.1051 | 0.2534 | 1.1051 | 1.0512 |
No log | 52.75 | 422 | 1.0919 | 0.2851 | 1.0919 | 1.0449 |
No log | 53.0 | 424 | 1.0953 | 0.2851 | 1.0953 | 1.0466 |
No log | 53.25 | 426 | 1.1042 | 0.2851 | 1.1042 | 1.0508 |
No log | 53.5 | 428 | 1.1115 | 0.2986 | 1.1115 | 1.0543 |
No log | 53.75 | 430 | 1.1016 | 0.2851 | 1.1016 | 1.0496 |
No log | 54.0 | 432 | 1.0984 | 0.3231 | 1.0984 | 1.0480 |
No log | 54.25 | 434 | 1.0851 | 0.3099 | 1.0851 | 1.0417 |
No log | 54.5 | 436 | 1.0389 | 0.3504 | 1.0389 | 1.0193 |
No log | 54.75 | 438 | 1.0245 | 0.3504 | 1.0245 | 1.0122 |
No log | 55.0 | 440 | 1.0248 | 0.3504 | 1.0248 | 1.0123 |
No log | 55.25 | 442 | 1.0270 | 0.2942 | 1.0270 | 1.0134 |
No log | 55.5 | 444 | 1.0338 | 0.2942 | 1.0338 | 1.0167 |
No log | 55.75 | 446 | 1.0396 | 0.2942 | 1.0396 | 1.0196 |
No log | 56.0 | 448 | 1.0392 | 0.2942 | 1.0392 | 1.0194 |
No log | 56.25 | 450 | 1.0332 | 0.2871 | 1.0332 | 1.0165 |
No log | 56.5 | 452 | 1.0313 | 0.3199 | 1.0313 | 1.0156 |
No log | 56.75 | 454 | 1.0258 | 0.3230 | 1.0258 | 1.0128 |
No log | 57.0 | 456 | 1.0179 | 0.3230 | 1.0179 | 1.0089 |
No log | 57.25 | 458 | 1.0171 | 0.3086 | 1.0171 | 1.0085 |
No log | 57.5 | 460 | 1.0168 | 0.3086 | 1.0168 | 1.0084 |
No log | 57.75 | 462 | 1.0192 | 0.3154 | 1.0192 | 1.0095 |
No log | 58.0 | 464 | 1.0324 | 0.3154 | 1.0324 | 1.0161 |
No log | 58.25 | 466 | 1.0566 | 0.3262 | 1.0566 | 1.0279 |
No log | 58.5 | 468 | 1.0979 | 0.2964 | 1.0979 | 1.0478 |
No log | 58.75 | 470 | 1.1168 | 0.3497 | 1.1168 | 1.0568 |
No log | 59.0 | 472 | 1.1044 | 0.3157 | 1.1044 | 1.0509 |
No log | 59.25 | 474 | 1.0891 | 0.3546 | 1.0891 | 1.0436 |
No log | 59.5 | 476 | 1.0534 | 0.3078 | 1.0534 | 1.0263 |
No log | 59.75 | 478 | 1.0053 | 0.3371 | 1.0053 | 1.0026 |
No log | 60.0 | 480 | 0.9807 | 0.3596 | 0.9807 | 0.9903 |
No log | 60.25 | 482 | 0.9825 | 0.3738 | 0.9825 | 0.9912 |
No log | 60.5 | 484 | 0.9892 | 0.3541 | 0.9892 | 0.9946 |
No log | 60.75 | 486 | 0.9994 | 0.3086 | 0.9994 | 0.9997 |
No log | 61.0 | 488 | 1.0244 | 0.2871 | 1.0244 | 1.0121 |
No log | 61.25 | 490 | 1.0615 | 0.2986 | 1.0615 | 1.0303 |
No log | 61.5 | 492 | 1.0777 | 0.2670 | 1.0777 | 1.0381 |
No log | 61.75 | 494 | 1.0740 | 0.2670 | 1.0740 | 1.0363 |
No log | 62.0 | 496 | 1.0476 | 0.2986 | 1.0476 | 1.0235 |
No log | 62.25 | 498 | 1.0143 | 0.3262 | 1.0143 | 1.0071 |
0.2399 | 62.5 | 500 | 0.9926 | 0.3250 | 0.9926 | 0.9963 |
0.2399 | 62.75 | 502 | 0.9824 | 0.3250 | 0.9824 | 0.9912 |
0.2399 | 63.0 | 504 | 0.9765 | 0.3346 | 0.9765 | 0.9882 |
0.2399 | 63.25 | 506 | 0.9792 | 0.3346 | 0.9792 | 0.9896 |
0.2399 | 63.5 | 508 | 0.9906 | 0.3312 | 0.9906 | 0.9953 |
0.2399 | 63.75 | 510 | 0.9940 | 0.3312 | 0.9940 | 0.9970 |
0.2399 | 64.0 | 512 | 0.9922 | 0.3312 | 0.9922 | 0.9961 |
0.2399 | 64.25 | 514 | 0.9881 | 0.3250 | 0.9881 | 0.9941 |
0.2399 | 64.5 | 516 | 0.9796 | 0.3250 | 0.9796 | 0.9897 |
0.2399 | 64.75 | 518 | 0.9756 | 0.3541 | 0.9756 | 0.9877 |
0.2399 | 65.0 | 520 | 0.9754 | 0.3830 | 0.9754 | 0.9876 |
0.2399 | 65.25 | 522 | 0.9785 | 0.3382 | 0.9785 | 0.9892 |
0.2399 | 65.5 | 524 | 0.9848 | 0.3184 | 0.9848 | 0.9924 |
0.2399 | 65.75 | 526 | 0.9952 | 0.2988 | 0.9952 | 0.9976 |
0.2399 | 66.0 | 528 | 0.9959 | 0.3199 | 0.9959 | 0.9980 |
0.2399 | 66.25 | 530 | 0.9920 | 0.3199 | 0.9920 | 0.9960 |
0.2399 | 66.5 | 532 | 0.9876 | 0.3199 | 0.9876 | 0.9938 |
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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k2_task2_organization
Base model
aubmindlab/bert-base-arabertv02