ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task1_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: 1.5745
  • Qwk: 0.3609
  • Mse: 1.5745
  • Rmse: 1.2548

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 0.0278 2 6.9177 0.0 6.9177 2.6302
No log 0.0556 4 4.5141 0.0976 4.5141 2.1246
No log 0.0833 6 3.4311 0.0222 3.4311 1.8523
No log 0.1111 8 3.0610 0.0 3.0610 1.7496
No log 0.1389 10 3.3563 0.0 3.3563 1.8320
No log 0.1667 12 2.8379 0.0690 2.8379 1.6846
No log 0.1944 14 2.3008 0.1120 2.3008 1.5168
No log 0.2222 16 2.0495 0.2385 2.0495 1.4316
No log 0.25 18 2.4676 -0.1077 2.4676 1.5709
No log 0.2778 20 2.8459 -0.1007 2.8459 1.6870
No log 0.3056 22 3.2804 -0.0503 3.2804 1.8112
No log 0.3333 24 3.0185 0.0 3.0185 1.7374
No log 0.3611 26 2.2597 -0.0163 2.2597 1.5032
No log 0.3889 28 1.9684 0.1143 1.9684 1.4030
No log 0.4167 30 1.8632 0.1165 1.8632 1.3650
No log 0.4444 32 1.7976 0.1165 1.7976 1.3408
No log 0.4722 34 1.7560 0.1165 1.7560 1.3251
No log 0.5 36 1.8949 0.2883 1.8949 1.3766
No log 0.5278 38 2.0836 0.2190 2.0836 1.4435
No log 0.5556 40 2.0949 0.2190 2.0949 1.4474
No log 0.5833 42 1.7898 0.3710 1.7898 1.3379
No log 0.6111 44 1.6949 0.3710 1.6948 1.3019
No log 0.6389 46 1.5744 0.3761 1.5744 1.2547
No log 0.6667 48 1.7562 0.384 1.7562 1.3252
No log 0.6944 50 1.9313 0.2190 1.9313 1.3897
No log 0.7222 52 1.7708 0.3721 1.7708 1.3307
No log 0.75 54 1.6486 0.4068 1.6486 1.2840
No log 0.7778 56 2.0343 0.1667 2.0343 1.4263
No log 0.8056 58 1.9428 0.2623 1.9428 1.3939
No log 0.8333 60 1.6380 0.3448 1.6380 1.2799
No log 0.8611 62 1.5728 0.3448 1.5728 1.2541
No log 0.8889 64 1.6682 0.4065 1.6682 1.2916
No log 0.9167 66 1.5276 0.3636 1.5276 1.2360
No log 0.9444 68 1.3978 0.4034 1.3978 1.1823
No log 0.9722 70 1.2151 0.4370 1.2151 1.1023
No log 1.0 72 1.2179 0.5620 1.2179 1.1036
No log 1.0278 74 1.1686 0.5968 1.1686 1.0810
No log 1.0556 76 1.1172 0.5984 1.1172 1.0570
No log 1.0833 78 1.1083 0.5891 1.1083 1.0528
No log 1.1111 80 1.2988 0.4662 1.2988 1.1396
No log 1.1389 82 1.5423 0.4 1.5423 1.2419
No log 1.1667 84 1.3435 0.4848 1.3435 1.1591
No log 1.1944 86 1.1096 0.5344 1.1096 1.0534
No log 1.2222 88 1.0756 0.5556 1.0756 1.0371
No log 1.25 90 1.1749 0.4754 1.1749 1.0839
No log 1.2778 92 1.1403 0.5000 1.1403 1.0679
No log 1.3056 94 1.5086 0.3768 1.5086 1.2283
No log 1.3333 96 1.5803 0.4219 1.5803 1.2571
No log 1.3611 98 1.4175 0.4174 1.4175 1.1906
No log 1.3889 100 1.2971 0.3273 1.2971 1.1389
No log 1.4167 102 1.2097 0.375 1.2097 1.0999
No log 1.4444 104 1.1914 0.3571 1.1914 1.0915
No log 1.4722 106 1.1801 0.3604 1.1801 1.0863
No log 1.5 108 1.2205 0.3604 1.2205 1.1048
No log 1.5278 110 1.4385 0.3193 1.4385 1.1994
No log 1.5556 112 1.3899 0.3051 1.3899 1.1789
No log 1.5833 114 1.2138 0.4628 1.2138 1.1017
No log 1.6111 116 1.1644 0.5042 1.1644 1.0791
No log 1.6389 118 1.3252 0.4248 1.3252 1.1512
No log 1.6667 120 1.2888 0.4211 1.2888 1.1352
No log 1.6944 122 1.1127 0.5496 1.1127 1.0549
No log 1.7222 124 1.2256 0.5455 1.2256 1.1071
No log 1.75 126 1.4493 0.5161 1.4494 1.2039
No log 1.7778 128 1.5178 0.4967 1.5178 1.2320
No log 1.8056 130 1.4101 0.5 1.4101 1.1875
No log 1.8333 132 1.3380 0.5180 1.3380 1.1567
No log 1.8611 134 1.1967 0.5109 1.1967 1.0939
No log 1.8889 136 1.2174 0.5441 1.2174 1.1034
No log 1.9167 138 1.1154 0.5630 1.1154 1.0561
No log 1.9444 140 1.1678 0.5672 1.1678 1.0806
No log 1.9722 142 1.4620 0.4789 1.4620 1.2091
No log 2.0 144 1.6096 0.375 1.6096 1.2687
No log 2.0278 146 1.3875 0.4823 1.3875 1.1779
No log 2.0556 148 1.2918 0.5255 1.2918 1.1366
No log 2.0833 150 1.2881 0.4741 1.2881 1.1350
No log 2.1111 152 1.0430 0.5873 1.0430 1.0213
No log 2.1389 154 1.1056 0.5620 1.1056 1.0515
No log 2.1667 156 1.0488 0.5691 1.0488 1.0241
No log 2.1944 158 1.3464 0.4296 1.3464 1.1604
No log 2.2222 160 1.4540 0.4526 1.4540 1.2058
No log 2.25 162 1.2871 0.5106 1.2871 1.1345
No log 2.2778 164 1.2928 0.5352 1.2928 1.1370
No log 2.3056 166 1.3975 0.5070 1.3975 1.1822
No log 2.3333 168 1.6092 0.4 1.6092 1.2686
No log 2.3611 170 1.4844 0.4748 1.4844 1.2184
No log 2.3889 172 1.1763 0.5778 1.1763 1.0846
No log 2.4167 174 0.8872 0.6016 0.8872 0.9419
No log 2.4444 176 0.9217 0.5902 0.9217 0.9600
No log 2.4722 178 0.9225 0.6129 0.9225 0.9605
No log 2.5 180 1.0848 0.5736 1.0848 1.0415
No log 2.5278 182 1.2160 0.5303 1.2160 1.1027
No log 2.5556 184 1.1631 0.5564 1.1631 1.0785
No log 2.5833 186 1.0721 0.6 1.0721 1.0354
No log 2.6111 188 1.0746 0.6061 1.0746 1.0367
No log 2.6389 190 1.2274 0.5481 1.2274 1.1079
No log 2.6667 192 1.3003 0.5037 1.3003 1.1403
No log 2.6944 194 1.3176 0.5037 1.3176 1.1479
No log 2.7222 196 1.5079 0.4234 1.5079 1.2280
No log 2.75 198 1.4378 0.4526 1.4378 1.1991
No log 2.7778 200 1.2065 0.5075 1.2065 1.0984
No log 2.8056 202 1.1671 0.4962 1.1671 1.0803
No log 2.8333 204 1.2797 0.4741 1.2797 1.1312
No log 2.8611 206 1.2538 0.4394 1.2538 1.1197
No log 2.8889 208 1.1713 0.5191 1.1713 1.0823
No log 2.9167 210 1.0795 0.5802 1.0795 1.0390
No log 2.9444 212 1.1124 0.5821 1.1124 1.0547
No log 2.9722 214 1.1138 0.5821 1.1138 1.0554
No log 3.0 216 1.2007 0.4741 1.2007 1.0958
No log 3.0278 218 1.2040 0.4627 1.2040 1.0972
No log 3.0556 220 1.1302 0.5564 1.1302 1.0631
No log 3.0833 222 1.0399 0.5854 1.0399 1.0198
No log 3.1111 224 1.0772 0.5854 1.0772 1.0379
No log 3.1389 226 1.1659 0.5152 1.1659 1.0798
No log 3.1667 228 1.1280 0.5522 1.1280 1.0621
No log 3.1944 230 1.0998 0.5333 1.0998 1.0487
No log 3.2222 232 1.2299 0.5 1.2299 1.1090
No log 3.25 234 1.3024 0.4526 1.3024 1.1412
No log 3.2778 236 1.1351 0.5147 1.1351 1.0654
No log 3.3056 238 1.0142 0.6154 1.0142 1.0071
No log 3.3333 240 0.9668 0.625 0.9668 0.9833
No log 3.3611 242 1.0019 0.6016 1.0019 1.0009
No log 3.3889 244 1.0754 0.5484 1.0754 1.0370
No log 3.4167 246 1.2431 0.4545 1.2431 1.1149
No log 3.4444 248 1.4004 0.4741 1.4004 1.1834
No log 3.4722 250 1.4072 0.4559 1.4072 1.1862
No log 3.5 252 1.2664 0.4741 1.2664 1.1253
No log 3.5278 254 1.2308 0.4697 1.2308 1.1094
No log 3.5556 256 1.3460 0.4741 1.3460 1.1602
No log 3.5833 258 1.5597 0.4 1.5597 1.2489
No log 3.6111 260 1.5041 0.4 1.5041 1.2264
No log 3.6389 262 1.3134 0.4308 1.3134 1.1460
No log 3.6667 264 1.1436 0.5203 1.1436 1.0694
No log 3.6944 266 1.0981 0.5410 1.0981 1.0479
No log 3.7222 268 1.0783 0.5366 1.0783 1.0384
No log 3.75 270 1.1773 0.4885 1.1773 1.0850
No log 3.7778 272 1.3307 0.4776 1.3307 1.1536
No log 3.8056 274 1.4326 0.4526 1.4326 1.1969
No log 3.8333 276 1.5103 0.4526 1.5103 1.2289
No log 3.8611 278 1.4460 0.4526 1.4460 1.2025
No log 3.8889 280 1.4474 0.4559 1.4474 1.2031
No log 3.9167 282 1.3179 0.4627 1.3179 1.1480
No log 3.9444 284 1.2742 0.4627 1.2742 1.1288
No log 3.9722 286 1.2284 0.4848 1.2284 1.1083
No log 4.0 288 1.2309 0.4627 1.2309 1.1095
No log 4.0278 290 1.2739 0.4328 1.2739 1.1287
No log 4.0556 292 1.2732 0.4328 1.2732 1.1283
No log 4.0833 294 1.2256 0.4593 1.2256 1.1071
No log 4.1111 296 1.1392 0.5303 1.1392 1.0673
No log 4.1389 298 1.2335 0.4662 1.2335 1.1106
No log 4.1667 300 1.3414 0.4444 1.3414 1.1582
No log 4.1944 302 1.2414 0.5191 1.2414 1.1142
No log 4.2222 304 1.1538 0.5692 1.1538 1.0742
No log 4.25 306 1.1299 0.5692 1.1299 1.0630
No log 4.2778 308 1.1330 0.5649 1.1330 1.0644
No log 4.3056 310 1.1433 0.5455 1.1433 1.0692
No log 4.3333 312 1.1244 0.5714 1.1244 1.0604
No log 4.3611 314 1.1487 0.5455 1.1487 1.0718
No log 4.3889 316 1.1673 0.5455 1.1673 1.0804
No log 4.4167 318 1.1561 0.5385 1.1561 1.0752
No log 4.4444 320 1.1375 0.5385 1.1375 1.0665
No log 4.4722 322 1.1849 0.5385 1.1849 1.0885
No log 4.5 324 1.3485 0.4179 1.3485 1.1612
No log 4.5278 326 1.3743 0.4148 1.3743 1.1723
No log 4.5556 328 1.2420 0.4844 1.2420 1.1145
No log 4.5833 330 1.1302 0.5873 1.1302 1.0631
No log 4.6111 332 1.1250 0.6142 1.1250 1.0607
No log 4.6389 334 1.1722 0.5625 1.1722 1.0827
No log 4.6667 336 1.1920 0.5758 1.1920 1.0918
No log 4.6944 338 1.2801 0.4627 1.2801 1.1314
No log 4.7222 340 1.3338 0.4559 1.3338 1.1549
No log 4.75 342 1.3129 0.4672 1.3129 1.1458
No log 4.7778 344 1.2877 0.4593 1.2877 1.1348
No log 4.8056 346 1.1919 0.5455 1.1919 1.0917
No log 4.8333 348 1.1482 0.5758 1.1482 1.0715
No log 4.8611 350 1.1010 0.5854 1.1010 1.0493
No log 4.8889 352 1.1123 0.5827 1.1123 1.0547
No log 4.9167 354 1.1002 0.5669 1.1002 1.0489
No log 4.9444 356 1.1286 0.5649 1.1286 1.0623
No log 4.9722 358 1.2527 0.4776 1.2527 1.1193
No log 5.0 360 1.4425 0.4203 1.4425 1.2010
No log 5.0278 362 1.4178 0.4412 1.4178 1.1907
No log 5.0556 364 1.2609 0.5077 1.2609 1.1229
No log 5.0833 366 1.1328 0.5397 1.1328 1.0643
No log 5.1111 368 1.0417 0.6016 1.0417 1.0207
No log 5.1389 370 1.0253 0.6016 1.0253 1.0126
No log 5.1667 372 1.0988 0.5781 1.0988 1.0482
No log 5.1944 374 1.2935 0.4154 1.2935 1.1373
No log 5.2222 376 1.2775 0.4341 1.2775 1.1302
No log 5.25 378 1.2616 0.4615 1.2616 1.1232
No log 5.2778 380 1.2805 0.4211 1.2805 1.1316
No log 5.3056 382 1.2666 0.4706 1.2666 1.1254
No log 5.3333 384 1.4294 0.4203 1.4294 1.1956
No log 5.3611 386 1.3623 0.4380 1.3623 1.1672
No log 5.3889 388 1.1817 0.5821 1.1817 1.0870
No log 5.4167 390 1.0701 0.5954 1.0701 1.0345
No log 5.4444 392 1.0730 0.5954 1.0730 1.0359
No log 5.4722 394 1.2101 0.5191 1.2101 1.1000
No log 5.5 396 1.3604 0.4179 1.3604 1.1664
No log 5.5278 398 1.3258 0.4328 1.3258 1.1514
No log 5.5556 400 1.2241 0.5191 1.2241 1.1064
No log 5.5833 402 1.2613 0.4848 1.2613 1.1231
No log 5.6111 404 1.3497 0.4091 1.3497 1.1617
No log 5.6389 406 1.3145 0.4545 1.3145 1.1465
No log 5.6667 408 1.2761 0.4697 1.2761 1.1297
No log 5.6944 410 1.1371 0.5496 1.1371 1.0663
No log 5.7222 412 1.0389 0.6357 1.0389 1.0193
No log 5.75 414 1.0248 0.5760 1.0248 1.0123
No log 5.7778 416 1.0852 0.5116 1.0852 1.0417
No log 5.8056 418 1.3800 0.4412 1.3800 1.1747
No log 5.8333 420 1.6385 0.3973 1.6385 1.2800
No log 5.8611 422 1.5701 0.4 1.5701 1.2530
No log 5.8889 424 1.3272 0.4638 1.3272 1.1520
No log 5.9167 426 1.2680 0.4526 1.2680 1.1261
No log 5.9444 428 1.2667 0.4706 1.2667 1.1255
No log 5.9722 430 1.3658 0.4706 1.3658 1.1687
No log 6.0 432 1.5065 0.4 1.5065 1.2274
No log 6.0278 434 1.5385 0.4 1.5385 1.2403
No log 6.0556 436 1.4121 0.4091 1.4121 1.1883
No log 6.0833 438 1.2781 0.4923 1.2781 1.1305
No log 6.1111 440 1.0910 0.5556 1.0910 1.0445
No log 6.1389 442 1.0411 0.544 1.0411 1.0203
No log 6.1667 444 1.1305 0.5496 1.1305 1.0632
No log 6.1944 446 1.3907 0.4412 1.3907 1.1793
No log 6.2222 448 1.5509 0.3913 1.5509 1.2454
No log 6.25 450 1.4949 0.4234 1.4949 1.2226
No log 6.2778 452 1.2670 0.4706 1.2670 1.1256
No log 6.3056 454 1.1735 0.6015 1.1735 1.0833
No log 6.3333 456 1.1689 0.6015 1.1689 1.0812
No log 6.3611 458 1.2183 0.4848 1.2183 1.1038
No log 6.3889 460 1.3775 0.4444 1.3775 1.1737
No log 6.4167 462 1.4242 0.4 1.4242 1.1934
No log 6.4444 464 1.2572 0.4478 1.2572 1.1212
No log 6.4722 466 1.0945 0.5649 1.0945 1.0462
No log 6.5 468 1.0560 0.5827 1.0560 1.0276
No log 6.5278 470 1.1119 0.5 1.1119 1.0545
No log 6.5556 472 1.1979 0.4921 1.1979 1.0945
No log 6.5833 474 1.2189 0.4724 1.2189 1.1040
No log 6.6111 476 1.2618 0.4733 1.2618 1.1233
No log 6.6389 478 1.2916 0.4733 1.2916 1.1365
No log 6.6667 480 1.1961 0.4921 1.1961 1.0937
No log 6.6944 482 1.1529 0.5512 1.1529 1.0737
No log 6.7222 484 1.2049 0.5469 1.2049 1.0977
No log 6.75 486 1.3647 0.4394 1.3647 1.1682
No log 6.7778 488 1.6275 0.3676 1.6275 1.2757
No log 6.8056 490 1.7423 0.3212 1.7423 1.3200
No log 6.8333 492 1.6000 0.3582 1.6000 1.2649
No log 6.8611 494 1.3885 0.5 1.3885 1.1784
No log 6.8889 496 1.3226 0.528 1.3226 1.1501
No log 6.9167 498 1.3651 0.5 1.3651 1.1684
0.4357 6.9444 500 1.4042 0.4615 1.4042 1.1850
0.4357 6.9722 502 1.4402 0.4275 1.4402 1.2001
0.4357 7.0 504 1.3087 0.4844 1.3087 1.1440
0.4357 7.0278 506 1.2241 0.496 1.2241 1.1064
0.4357 7.0556 508 1.1266 0.5 1.1266 1.0614
0.4357 7.0833 510 1.1092 0.4715 1.1092 1.0532
0.4357 7.1111 512 1.1312 0.5354 1.1312 1.0636
0.4357 7.1389 514 1.3193 0.4615 1.3193 1.1486
0.4357 7.1667 516 1.4647 0.4060 1.4647 1.2103
0.4357 7.1944 518 1.3771 0.4328 1.3771 1.1735
0.4357 7.2222 520 1.2636 0.5038 1.2636 1.1241
0.4357 7.25 522 1.2743 0.4848 1.2743 1.1288
0.4357 7.2778 524 1.4035 0.4328 1.4035 1.1847
0.4357 7.3056 526 1.4915 0.3852 1.4915 1.2213
0.4357 7.3333 528 1.3607 0.4545 1.3607 1.1665
0.4357 7.3611 530 1.2901 0.4651 1.2901 1.1358
0.4357 7.3889 532 1.3010 0.4651 1.3010 1.1406
0.4357 7.4167 534 1.3546 0.4580 1.3546 1.1639
0.4357 7.4444 536 1.5072 0.4091 1.5072 1.2277
0.4357 7.4722 538 1.6857 0.3382 1.6857 1.2983
0.4357 7.5 540 1.6623 0.3407 1.6623 1.2893
0.4357 7.5278 542 1.5745 0.3609 1.5745 1.2548

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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