ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k20_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: 1.1162
  • Qwk: 0.5312
  • Mse: 1.1162
  • Rmse: 1.0565

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 0.0211 2 6.9449 0.0057 6.9449 2.6353
No log 0.0421 4 4.8759 0.0444 4.8759 2.2081
No log 0.0632 6 3.2474 0.0230 3.2474 1.8021
No log 0.0842 8 2.6678 0.0784 2.6678 1.6333
No log 0.1053 10 2.4309 0.1135 2.4309 1.5591
No log 0.1263 12 1.9755 0.1429 1.9755 1.4055
No log 0.1474 14 2.0236 0.2712 2.0236 1.4225
No log 0.1684 16 2.1648 0.0800 2.1648 1.4713
No log 0.1895 18 2.5209 -0.0274 2.5209 1.5877
No log 0.2105 20 2.7427 0.0 2.7427 1.6561
No log 0.2316 22 2.8033 0.0261 2.8033 1.6743
No log 0.2526 24 2.4394 -0.0411 2.4394 1.5618
No log 0.2737 26 2.0386 0.1982 2.0386 1.4278
No log 0.2947 28 1.6990 0.1346 1.6990 1.3034
No log 0.3158 30 1.6204 0.1165 1.6204 1.2730
No log 0.3368 32 1.6694 0.1714 1.6694 1.2920
No log 0.3579 34 1.8966 0.1786 1.8966 1.3772
No log 0.3789 36 2.0468 0.1705 2.0468 1.4307
No log 0.4 38 2.2903 0.2041 2.2903 1.5134
No log 0.4211 40 2.0739 0.2609 2.0739 1.4401
No log 0.4421 42 1.7624 0.1947 1.7624 1.3275
No log 0.4632 44 1.6988 0.3000 1.6988 1.3034
No log 0.4842 46 1.6739 0.2787 1.6739 1.2938
No log 0.5053 48 1.8201 0.3077 1.8201 1.3491
No log 0.5263 50 2.0744 0.2000 2.0744 1.4403
No log 0.5474 52 2.2049 0.1259 2.2049 1.4849
No log 0.5684 54 2.3371 0.0822 2.3371 1.5288
No log 0.5895 56 2.1877 0.1418 2.1877 1.4791
No log 0.6105 58 1.8270 0.3810 1.8270 1.3517
No log 0.6316 60 1.7507 0.3934 1.7507 1.3232
No log 0.6526 62 1.6000 0.3934 1.6000 1.2649
No log 0.6737 64 1.5096 0.4065 1.5096 1.2287
No log 0.6947 66 1.3362 0.3636 1.3362 1.1560
No log 0.7158 68 1.3380 0.2957 1.3380 1.1567
No log 0.7368 70 1.5725 0.2037 1.5725 1.2540
No log 0.7579 72 1.7247 0.1651 1.7247 1.3133
No log 0.7789 74 1.4989 0.3036 1.4989 1.2243
No log 0.8 76 1.2228 0.4615 1.2228 1.1058
No log 0.8211 78 1.2696 0.5441 1.2696 1.1268
No log 0.8421 80 1.1361 0.5758 1.1361 1.0659
No log 0.8632 82 1.1180 0.5606 1.1180 1.0573
No log 0.8842 84 1.1811 0.4844 1.1811 1.0868
No log 0.9053 86 1.0789 0.5581 1.0789 1.0387
No log 0.9263 88 1.1031 0.5116 1.1031 1.0503
No log 0.9474 90 1.1040 0.5312 1.1040 1.0507
No log 0.9684 92 1.1701 0.5426 1.1701 1.0817
No log 0.9895 94 1.1116 0.5079 1.1116 1.0543
No log 1.0105 96 1.0633 0.528 1.0633 1.0312
No log 1.0316 98 1.0323 0.5238 1.0323 1.0160
No log 1.0526 100 1.0651 0.5669 1.0651 1.0320
No log 1.0737 102 1.1884 0.5161 1.1884 1.0901
No log 1.0947 104 1.6611 0.2131 1.6611 1.2888
No log 1.1158 106 1.4685 0.4068 1.4685 1.2118
No log 1.1368 108 1.2080 0.4874 1.2080 1.0991
No log 1.1579 110 1.1245 0.4754 1.1245 1.0604
No log 1.1789 112 1.1727 0.5246 1.1727 1.0829
No log 1.2 114 1.4141 0.4186 1.4141 1.1892
No log 1.2211 116 1.5034 0.4265 1.5034 1.2261
No log 1.2421 118 1.4698 0.4148 1.4698 1.2124
No log 1.2632 120 1.3373 0.4580 1.3373 1.1564
No log 1.2842 122 1.1893 0.4844 1.1893 1.0906
No log 1.3053 124 1.1049 0.5 1.1049 1.0511
No log 1.3263 126 1.1883 0.5238 1.1883 1.0901
No log 1.3474 128 1.4602 0.4545 1.4602 1.2084
No log 1.3684 130 1.3751 0.4545 1.3751 1.1727
No log 1.3895 132 1.1158 0.5538 1.1158 1.0563
No log 1.4105 134 1.1629 0.5152 1.1629 1.0784
No log 1.4316 136 1.5188 0.4122 1.5188 1.2324
No log 1.4526 138 1.5989 0.2857 1.5989 1.2645
No log 1.4737 140 1.2755 0.5397 1.2755 1.1294
No log 1.4947 142 1.0834 0.5625 1.0834 1.0409
No log 1.5158 144 1.0584 0.5625 1.0584 1.0288
No log 1.5368 146 1.2700 0.5161 1.2700 1.1269
No log 1.5579 148 1.5613 0.375 1.5613 1.2495
No log 1.5789 150 1.4976 0.4341 1.4976 1.2238
No log 1.6 152 1.2231 0.5760 1.2231 1.1059
No log 1.6211 154 0.9787 0.4959 0.9787 0.9893
No log 1.6421 156 1.0281 0.6269 1.0281 1.0140
No log 1.6632 158 0.9708 0.6212 0.9708 0.9853
No log 1.6842 160 0.8983 0.5873 0.8983 0.9478
No log 1.7053 162 1.1599 0.5625 1.1599 1.0770
No log 1.7263 164 1.1776 0.5625 1.1776 1.0852
No log 1.7474 166 0.9430 0.5984 0.9430 0.9711
No log 1.7684 168 0.9670 0.6142 0.9670 0.9833
No log 1.7895 170 1.1987 0.4839 1.1987 1.0948
No log 1.8105 172 1.2407 0.4878 1.2407 1.1138
No log 1.8316 174 1.2663 0.4463 1.2663 1.1253
No log 1.8526 176 1.3508 0.4426 1.3508 1.1623
No log 1.8737 178 1.3552 0.4677 1.3552 1.1641
No log 1.8947 180 1.1988 0.5271 1.1988 1.0949
No log 1.9158 182 1.2009 0.4925 1.2009 1.0959
No log 1.9368 184 1.4379 0.4265 1.4379 1.1991
No log 1.9579 186 1.6515 0.3824 1.6515 1.2851
No log 1.9789 188 1.2951 0.4776 1.2951 1.1380
No log 2.0 190 1.0105 0.5692 1.0105 1.0053
No log 2.0211 192 1.0431 0.5238 1.0431 1.0213
No log 2.0421 194 1.1759 0.5041 1.1759 1.0844
No log 2.0632 196 1.3133 0.4793 1.3133 1.1460
No log 2.0842 198 1.4646 0.3967 1.4646 1.2102
No log 2.1053 200 1.4808 0.4160 1.4808 1.2169
No log 2.1263 202 1.4767 0.4094 1.4767 1.2152
No log 2.1474 204 1.2687 0.4590 1.2687 1.1264
No log 2.1684 206 1.1273 0.4833 1.1273 1.0618
No log 2.1895 208 1.0926 0.4754 1.0926 1.0453
No log 2.2105 210 1.2977 0.4567 1.2977 1.1392
No log 2.2316 212 1.5530 0.4242 1.5530 1.2462
No log 2.2526 214 1.4272 0.4615 1.4272 1.1946
No log 2.2737 216 1.1272 0.4878 1.1272 1.0617
No log 2.2947 218 1.0159 0.5469 1.0159 1.0079
No log 2.3158 220 0.9891 0.5581 0.9891 0.9945
No log 2.3368 222 1.0131 0.512 1.0131 1.0065
No log 2.3579 224 1.3361 0.4724 1.3361 1.1559
No log 2.3789 226 1.6954 0.3125 1.6954 1.3021
No log 2.4 228 1.6322 0.3206 1.6322 1.2776
No log 2.4211 230 1.3717 0.4885 1.3717 1.1712
No log 2.4421 232 1.0496 0.544 1.0496 1.0245
No log 2.4632 234 0.9631 0.5528 0.9631 0.9814
No log 2.4842 236 0.9670 0.5806 0.9670 0.9833
No log 2.5053 238 1.0121 0.5246 1.0121 1.0060
No log 2.5263 240 1.1039 0.4878 1.1039 1.0506
No log 2.5474 242 1.2384 0.5197 1.2384 1.1128
No log 2.5684 244 1.2196 0.5238 1.2196 1.1044
No log 2.5895 246 1.1723 0.5238 1.1724 1.0828
No log 2.6105 248 1.1873 0.5238 1.1873 1.0897
No log 2.6316 250 1.2984 0.4615 1.2984 1.1395
No log 2.6526 252 1.3000 0.4651 1.3000 1.1402
No log 2.6737 254 1.1989 0.5354 1.1989 1.0950
No log 2.6947 256 1.0576 0.5556 1.0576 1.0284
No log 2.7158 258 1.0063 0.5161 1.0063 1.0031
No log 2.7368 260 0.9612 0.6308 0.9612 0.9804
No log 2.7579 262 1.0141 0.512 1.0141 1.0070
No log 2.7789 264 1.0847 0.5238 1.0847 1.0415
No log 2.8 266 1.2756 0.4961 1.2756 1.1294
No log 2.8211 268 1.3620 0.4496 1.3620 1.1671
No log 2.8421 270 1.3332 0.4769 1.3332 1.1546
No log 2.8632 272 1.2365 0.5077 1.2365 1.1120
No log 2.8842 274 1.1870 0.5344 1.1870 1.0895
No log 2.9053 276 1.1431 0.5385 1.1431 1.0691
No log 2.9263 278 1.1345 0.5271 1.1345 1.0651
No log 2.9474 280 1.3034 0.4923 1.3034 1.1416
No log 2.9684 282 1.3547 0.4651 1.3547 1.1639
No log 2.9895 284 1.2165 0.5 1.2165 1.1029
No log 3.0105 286 1.0016 0.6032 1.0016 1.0008
No log 3.0316 288 0.8837 0.5528 0.8837 0.9401
No log 3.0526 290 0.8502 0.608 0.8502 0.9221
No log 3.0737 292 0.8881 0.6562 0.8881 0.9424
No log 3.0947 294 1.1239 0.5271 1.1239 1.0601
No log 3.1158 296 1.3810 0.4733 1.3810 1.1752
No log 3.1368 298 1.3657 0.4733 1.3657 1.1686
No log 3.1579 300 1.1237 0.5231 1.1237 1.0601
No log 3.1789 302 0.9338 0.5736 0.9338 0.9664
No log 3.2 304 0.8485 0.6406 0.8485 0.9212
No log 3.2211 306 0.9043 0.5938 0.9043 0.9510
No log 3.2421 308 1.1263 0.5271 1.1263 1.0613
No log 3.2632 310 1.3183 0.4733 1.3183 1.1482
No log 3.2842 312 1.3147 0.4733 1.3147 1.1466
No log 3.3053 314 1.1285 0.5271 1.1285 1.0623
No log 3.3263 316 1.0400 0.4959 1.0400 1.0198
No log 3.3474 318 1.0575 0.4959 1.0575 1.0283
No log 3.3684 320 1.0940 0.4833 1.0940 1.0460
No log 3.3895 322 1.1815 0.5397 1.1815 1.0870
No log 3.4105 324 1.3325 0.4688 1.3325 1.1543
No log 3.4316 326 1.3708 0.4496 1.3708 1.1708
No log 3.4526 328 1.2609 0.4724 1.2609 1.1229
No log 3.4737 330 1.2248 0.5039 1.2248 1.1067
No log 3.4947 332 1.2135 0.5039 1.2135 1.1016
No log 3.5158 334 1.2215 0.5039 1.2215 1.1052
No log 3.5368 336 1.3253 0.4769 1.3253 1.1512
No log 3.5579 338 1.2711 0.4961 1.2711 1.1274
No log 3.5789 340 1.2333 0.5039 1.2333 1.1105
No log 3.6 342 1.2455 0.5238 1.2455 1.1160
No log 3.6211 344 1.3392 0.5 1.3392 1.1572
No log 3.6421 346 1.3145 0.5197 1.3145 1.1465
No log 3.6632 348 1.1963 0.528 1.1963 1.0937
No log 3.6842 350 1.0790 0.5484 1.0790 1.0388
No log 3.7053 352 1.0975 0.528 1.0975 1.0476
No log 3.7263 354 1.2120 0.5 1.2120 1.1009
No log 3.7474 356 1.3799 0.4375 1.3799 1.1747
No log 3.7684 358 1.3974 0.4375 1.3974 1.1821
No log 3.7895 360 1.3585 0.4409 1.3585 1.1656
No log 3.8105 362 1.1965 0.5 1.1965 1.0938
No log 3.8316 364 1.0650 0.5397 1.0650 1.0320
No log 3.8526 366 1.0873 0.5397 1.0873 1.0427
No log 3.8737 368 1.1826 0.5079 1.1826 1.0875
No log 3.8947 370 1.2647 0.4961 1.2647 1.1246
No log 3.9158 372 1.1311 0.5079 1.1311 1.0635
No log 3.9368 374 1.0312 0.5760 1.0312 1.0155
No log 3.9579 376 0.9724 0.5760 0.9724 0.9861
No log 3.9789 378 0.9547 0.5645 0.9547 0.9771
No log 4.0 380 0.9871 0.5760 0.9871 0.9935
No log 4.0211 382 1.1112 0.5312 1.1112 1.0541
No log 4.0421 384 1.1397 0.5271 1.1397 1.0676
No log 4.0632 386 1.0942 0.5354 1.0942 1.0460
No log 4.0842 388 1.0584 0.5354 1.0584 1.0288
No log 4.1053 390 0.9973 0.5354 0.9973 0.9987
No log 4.1263 392 1.0631 0.5079 1.0631 1.0311
No log 4.1474 394 1.1461 0.5 1.1461 1.0705
No log 4.1684 396 1.2955 0.4769 1.2955 1.1382
No log 4.1895 398 1.3361 0.4769 1.3361 1.1559
No log 4.2105 400 1.2775 0.4769 1.2775 1.1303
No log 4.2316 402 1.1898 0.5039 1.1898 1.0908
No log 4.2526 404 1.1277 0.5079 1.1277 1.0619
No log 4.2737 406 1.1278 0.5079 1.1278 1.0620
No log 4.2947 408 1.0898 0.5079 1.0898 1.0439
No log 4.3158 410 1.0365 0.5079 1.0365 1.0181
No log 4.3368 412 1.0317 0.496 1.0317 1.0157
No log 4.3579 414 1.0913 0.5039 1.0913 1.0447
No log 4.3789 416 1.1967 0.5 1.1967 1.0940
No log 4.4 418 1.3004 0.4697 1.3004 1.1404
No log 4.4211 420 1.2072 0.4923 1.2072 1.0987
No log 4.4421 422 1.0124 0.5312 1.0124 1.0062
No log 4.4632 424 0.9729 0.5891 0.9729 0.9864
No log 4.4842 426 1.0949 0.5312 1.0949 1.0464
No log 4.5053 428 1.3161 0.4961 1.3161 1.1472
No log 4.5263 430 1.4731 0.4328 1.4731 1.2137
No log 4.5474 432 1.4122 0.4769 1.4122 1.1884
No log 4.5684 434 1.3243 0.5039 1.3243 1.1508
No log 4.5895 436 1.1414 0.496 1.1414 1.0683
No log 4.6105 438 1.0739 0.5041 1.0739 1.0363
No log 4.6316 440 1.0517 0.496 1.0517 1.0255
No log 4.6526 442 1.1375 0.5039 1.1375 1.0665
No log 4.6737 444 1.1626 0.5039 1.1626 1.0782
No log 4.6947 446 1.0723 0.5197 1.0723 1.0355
No log 4.7158 448 1.0262 0.5238 1.0262 1.0130
No log 4.7368 450 1.0643 0.5645 1.0643 1.0317
No log 4.7579 452 1.1431 0.5161 1.1431 1.0692
No log 4.7789 454 1.2657 0.5 1.2657 1.1250
No log 4.8 456 1.3246 0.4724 1.3246 1.1509
No log 4.8211 458 1.2584 0.5197 1.2584 1.1218
No log 4.8421 460 1.1256 0.5528 1.1256 1.0609
No log 4.8632 462 1.0508 0.5528 1.0508 1.0251
No log 4.8842 464 1.0949 0.544 1.0949 1.0464
No log 4.9053 466 1.2911 0.5191 1.2911 1.1362
No log 4.9263 468 1.4334 0.4275 1.4334 1.1972
No log 4.9474 470 1.3905 0.4651 1.3905 1.1792
No log 4.9684 472 1.2563 0.544 1.2563 1.1209
No log 4.9895 474 1.1836 0.5645 1.1836 1.0879
No log 5.0105 476 1.0836 0.4310 1.0836 1.0410
No log 5.0316 478 1.0687 0.4 1.0687 1.0338
No log 5.0526 480 1.0810 0.5042 1.0810 1.0397
No log 5.0737 482 1.1142 0.5 1.1142 1.0556
No log 5.0947 484 1.1602 0.5161 1.1602 1.0771
No log 5.1158 486 1.1878 0.5079 1.1878 1.0899
No log 5.1368 488 1.3196 0.4496 1.3196 1.1487
No log 5.1579 490 1.4243 0.4275 1.4243 1.1934
No log 5.1789 492 1.3995 0.4462 1.3995 1.1830
No log 5.2 494 1.3153 0.5191 1.3153 1.1469
No log 5.2211 496 1.2142 0.5312 1.2142 1.1019
No log 5.2421 498 1.1536 0.5197 1.1536 1.0740
0.4177 5.2632 500 1.1649 0.5312 1.1649 1.0793
0.4177 5.2842 502 1.2438 0.5271 1.2438 1.1152
0.4177 5.3053 504 1.2495 0.5231 1.2495 1.1178
0.4177 5.3263 506 1.1724 0.5312 1.1724 1.0828
0.4177 5.3474 508 1.1030 0.5312 1.1030 1.0502
0.4177 5.3684 510 1.1162 0.5312 1.1162 1.0565

Framework versions

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