ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_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: 1.0139
  • Qwk: 0.3842
  • Mse: 1.0139
  • Rmse: 1.0069

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 0.4 2 6.8335 -0.0708 6.8335 2.6141
No log 0.8 4 4.7061 -0.0278 4.7061 2.1694
No log 1.2 6 2.5724 0.0560 2.5724 1.6039
No log 1.6 8 1.6768 0.0939 1.6768 1.2949
No log 2.0 10 1.3213 0.2826 1.3213 1.1495
No log 2.4 12 1.2382 0.2601 1.2382 1.1127
No log 2.8 14 1.1576 0.3104 1.1576 1.0759
No log 3.2 16 1.1353 0.1443 1.1353 1.0655
No log 3.6 18 1.1452 0.1645 1.1452 1.0701
No log 4.0 20 1.1199 0.3017 1.1199 1.0583
No log 4.4 22 1.3404 0.1826 1.3404 1.1578
No log 4.8 24 1.3432 0.1652 1.3432 1.1590
No log 5.2 26 1.5716 0.1901 1.5716 1.2536
No log 5.6 28 1.4735 0.1395 1.4735 1.2139
No log 6.0 30 1.1452 0.2915 1.1452 1.0701
No log 6.4 32 1.1747 0.1443 1.1747 1.0838
No log 6.8 34 1.2006 0.1468 1.2006 1.0957
No log 7.2 36 1.4545 0.0800 1.4545 1.2060
No log 7.6 38 1.7257 0.1491 1.7257 1.3136
No log 8.0 40 1.9520 0.1351 1.9520 1.3971
No log 8.4 42 1.5476 0.0453 1.5476 1.2440
No log 8.8 44 1.2394 0.1584 1.2394 1.1133
No log 9.2 46 1.3681 0.1156 1.3681 1.1697
No log 9.6 48 1.3267 0.1090 1.3267 1.1518
No log 10.0 50 1.3076 0.2363 1.3076 1.1435
No log 10.4 52 1.4804 0.0923 1.4804 1.2167
No log 10.8 54 1.3224 0.1612 1.3224 1.1500
No log 11.2 56 1.2179 0.3787 1.2179 1.1036
No log 11.6 58 1.2268 0.3021 1.2268 1.1076
No log 12.0 60 1.1937 0.3310 1.1937 1.0926
No log 12.4 62 1.1458 0.3913 1.1458 1.0704
No log 12.8 64 1.1492 0.3536 1.1492 1.0720
No log 13.2 66 1.1365 0.3918 1.1365 1.0661
No log 13.6 68 1.2648 0.3348 1.2648 1.1247
No log 14.0 70 1.2701 0.3682 1.2701 1.1270
No log 14.4 72 1.1778 0.3160 1.1778 1.0853
No log 14.8 74 1.2170 0.3232 1.2170 1.1032
No log 15.2 76 1.2006 0.3448 1.2006 1.0957
No log 15.6 78 1.1830 0.4276 1.1830 1.0877
No log 16.0 80 1.1748 0.3972 1.1748 1.0839
No log 16.4 82 1.2203 0.3348 1.2203 1.1047
No log 16.8 84 1.1376 0.4014 1.1376 1.0666
No log 17.2 86 1.1063 0.4449 1.1063 1.0518
No log 17.6 88 1.1026 0.4014 1.1026 1.0500
No log 18.0 90 1.0975 0.4449 1.0975 1.0476
No log 18.4 92 1.1190 0.3779 1.1190 1.0578
No log 18.8 94 1.1438 0.3779 1.1438 1.0695
No log 19.2 96 1.2424 0.3691 1.2424 1.1146
No log 19.6 98 1.2211 0.3714 1.2211 1.1050
No log 20.0 100 1.2993 0.3741 1.2993 1.1399
No log 20.4 102 1.5020 0.2862 1.5020 1.2256
No log 20.8 104 1.6942 0.1957 1.6942 1.3016
No log 21.2 106 1.5316 0.2382 1.5316 1.2376
No log 21.6 108 1.2198 0.3402 1.2198 1.1044
No log 22.0 110 1.3166 0.3154 1.3166 1.1474
No log 22.4 112 1.3081 0.3154 1.3081 1.1437
No log 22.8 114 1.2410 0.3073 1.2410 1.1140
No log 23.2 116 1.2876 0.2524 1.2876 1.1347
No log 23.6 118 1.1515 0.3463 1.1515 1.0731
No log 24.0 120 1.1005 0.3413 1.1005 1.0490
No log 24.4 122 1.0851 0.4093 1.0851 1.0417
No log 24.8 124 1.0923 0.3328 1.0923 1.0451
No log 25.2 126 1.1126 0.3216 1.1126 1.0548
No log 25.6 128 1.0574 0.3328 1.0574 1.0283
No log 26.0 130 1.0179 0.4091 1.0179 1.0089
No log 26.4 132 1.0017 0.3787 1.0017 1.0009
No log 26.8 134 0.9942 0.4091 0.9942 0.9971
No log 27.2 136 1.0055 0.4488 1.0055 1.0028
No log 27.6 138 1.0698 0.4565 1.0698 1.0343
No log 28.0 140 1.1009 0.4754 1.1009 1.0492
No log 28.4 142 1.0982 0.3717 1.0982 1.0480
No log 28.8 144 1.1736 0.3717 1.1736 1.0833
No log 29.2 146 1.3503 0.2932 1.3503 1.1620
No log 29.6 148 1.2701 0.3132 1.2701 1.1270
No log 30.0 150 1.1113 0.3413 1.1113 1.0542
No log 30.4 152 1.1675 0.4286 1.1675 1.0805
No log 30.8 154 1.2099 0.4362 1.2099 1.1000
No log 31.2 156 1.1558 0.3766 1.1558 1.0751
No log 31.6 158 1.2909 0.2930 1.2909 1.1362
No log 32.0 160 1.6581 0.2167 1.6581 1.2877
No log 32.4 162 1.6900 0.2231 1.6900 1.3000
No log 32.8 164 1.4369 0.3009 1.4369 1.1987
No log 33.2 166 1.2606 0.3343 1.2606 1.1228
No log 33.6 168 1.2972 0.3445 1.2972 1.1390
No log 34.0 170 1.3875 0.3304 1.3875 1.1779
No log 34.4 172 1.3623 0.3478 1.3623 1.1672
No log 34.8 174 1.2299 0.3125 1.2299 1.1090
No log 35.2 176 1.2031 0.3103 1.2031 1.0969
No log 35.6 178 1.2367 0.3745 1.2367 1.1121
No log 36.0 180 1.3322 0.2896 1.3322 1.1542
No log 36.4 182 1.4663 0.3007 1.4663 1.2109
No log 36.8 184 1.4380 0.3369 1.4380 1.1992
No log 37.2 186 1.3023 0.3898 1.3023 1.1412
No log 37.6 188 1.2026 0.3830 1.2026 1.0966
No log 38.0 190 1.1485 0.3817 1.1485 1.0717
No log 38.4 192 1.1327 0.3429 1.1327 1.0643
No log 38.8 194 1.1259 0.3590 1.1259 1.0611
No log 39.2 196 1.1380 0.3753 1.1380 1.0668
No log 39.6 198 1.1193 0.3590 1.1193 1.0580
No log 40.0 200 1.1599 0.3760 1.1599 1.0770
No log 40.4 202 1.1894 0.3684 1.1894 1.0906
No log 40.8 204 1.1678 0.3563 1.1678 1.0807
No log 41.2 206 1.1848 0.3563 1.1848 1.0885
No log 41.6 208 1.1782 0.3164 1.1782 1.0854
No log 42.0 210 1.1899 0.3164 1.1899 1.0908
No log 42.4 212 1.2019 0.3272 1.2019 1.0963
No log 42.8 214 1.2436 0.2761 1.2436 1.1151
No log 43.2 216 1.2777 0.1929 1.2777 1.1304
No log 43.6 218 1.2884 0.2623 1.2884 1.1351
No log 44.0 220 1.3022 0.2623 1.3022 1.1411
No log 44.4 222 1.2927 0.2293 1.2927 1.1370
No log 44.8 224 1.3020 0.2247 1.3020 1.1410
No log 45.2 226 1.2957 0.2869 1.2957 1.1383
No log 45.6 228 1.2879 0.3013 1.2879 1.1349
No log 46.0 230 1.3038 0.2570 1.3038 1.1418
No log 46.4 232 1.2885 0.3069 1.2885 1.1351
No log 46.8 234 1.2242 0.3574 1.2242 1.1064
No log 47.2 236 1.1748 0.3336 1.1748 1.0839
No log 47.6 238 1.1743 0.3359 1.1743 1.0836
No log 48.0 240 1.1886 0.3646 1.1886 1.0902
No log 48.4 242 1.1915 0.3646 1.1915 1.0915
No log 48.8 244 1.1929 0.3878 1.1929 1.0922
No log 49.2 246 1.1382 0.3564 1.1382 1.0669
No log 49.6 248 1.0874 0.3737 1.0874 1.0428
No log 50.0 250 1.0629 0.3498 1.0629 1.0310
No log 50.4 252 1.0572 0.3839 1.0572 1.0282
No log 50.8 254 1.0446 0.3750 1.0446 1.0221
No log 51.2 256 1.0376 0.3787 1.0376 1.0186
No log 51.6 258 1.0609 0.3384 1.0609 1.0300
No log 52.0 260 1.1034 0.3611 1.1034 1.0504
No log 52.4 262 1.1204 0.3823 1.1204 1.0585
No log 52.8 264 1.0969 0.3830 1.0969 1.0473
No log 53.2 266 1.0969 0.3830 1.0969 1.0473
No log 53.6 268 1.0780 0.3961 1.0780 1.0383
No log 54.0 270 1.0819 0.4660 1.0819 1.0402
No log 54.4 272 1.0919 0.4263 1.0919 1.0449
No log 54.8 274 1.0894 0.4660 1.0894 1.0438
No log 55.2 276 1.0873 0.4300 1.0873 1.0428
No log 55.6 278 1.0804 0.4130 1.0804 1.0394
No log 56.0 280 1.0805 0.3802 1.0805 1.0395
No log 56.4 282 1.0774 0.3498 1.0774 1.0380
No log 56.8 284 1.0809 0.3745 1.0809 1.0396
No log 57.2 286 1.0964 0.3745 1.0964 1.0471
No log 57.6 288 1.0977 0.3585 1.0977 1.0477
No log 58.0 290 1.0947 0.3585 1.0947 1.0463
No log 58.4 292 1.0996 0.3823 1.0996 1.0486
No log 58.8 294 1.1012 0.3823 1.1012 1.0494
No log 59.2 296 1.1027 0.4264 1.1027 1.0501
No log 59.6 298 1.0924 0.4142 1.0924 1.0452
No log 60.0 300 1.0695 0.3612 1.0695 1.0342
No log 60.4 302 1.0630 0.3486 1.0630 1.0310
No log 60.8 304 1.0625 0.3612 1.0625 1.0308
No log 61.2 306 1.0767 0.3781 1.0767 1.0377
No log 61.6 308 1.1094 0.4405 1.1094 1.0533
No log 62.0 310 1.1232 0.4240 1.1232 1.0598
No log 62.4 312 1.1387 0.3610 1.1387 1.0671
No log 62.8 314 1.1051 0.4241 1.1051 1.0512
No log 63.2 316 1.0642 0.4240 1.0642 1.0316
No log 63.6 318 1.0368 0.3740 1.0368 1.0182
No log 64.0 320 1.0412 0.3724 1.0412 1.0204
No log 64.4 322 1.0724 0.4330 1.0724 1.0355
No log 64.8 324 1.1034 0.4366 1.1034 1.0504
No log 65.2 326 1.0730 0.4209 1.0730 1.0358
No log 65.6 328 1.0340 0.3976 1.0340 1.0168
No log 66.0 330 1.0222 0.3632 1.0222 1.0110
No log 66.4 332 1.0262 0.3632 1.0262 1.0130
No log 66.8 334 1.0378 0.4008 1.0378 1.0187
No log 67.2 336 1.0429 0.4008 1.0429 1.0212
No log 67.6 338 1.0440 0.4011 1.0440 1.0218
No log 68.0 340 1.0388 0.3843 1.0388 1.0192
No log 68.4 342 1.0356 0.3843 1.0356 1.0176
No log 68.8 344 1.0348 0.4304 1.0348 1.0173
No log 69.2 346 1.0302 0.4005 1.0302 1.0150
No log 69.6 348 1.0189 0.3622 1.0189 1.0094
No log 70.0 350 1.0211 0.4311 1.0211 1.0105
No log 70.4 352 1.0100 0.4196 1.0100 1.0050
No log 70.8 354 0.9981 0.4126 0.9981 0.9991
No log 71.2 356 0.9856 0.4126 0.9856 0.9928
No log 71.6 358 0.9846 0.3825 0.9846 0.9922
No log 72.0 360 0.9874 0.3825 0.9874 0.9937
No log 72.4 362 0.9862 0.3818 0.9862 0.9931
No log 72.8 364 0.9797 0.3818 0.9797 0.9898
No log 73.2 366 0.9753 0.4125 0.9753 0.9876
No log 73.6 368 0.9735 0.3612 0.9735 0.9867
No log 74.0 370 0.9771 0.4091 0.9771 0.9885
No log 74.4 372 0.9807 0.4397 0.9807 0.9903
No log 74.8 374 0.9770 0.4397 0.9770 0.9884
No log 75.2 376 0.9749 0.4401 0.9749 0.9874
No log 75.6 378 0.9685 0.4089 0.9685 0.9841
No log 76.0 380 0.9625 0.4087 0.9625 0.9811
No log 76.4 382 0.9593 0.4087 0.9593 0.9795
No log 76.8 384 0.9559 0.4087 0.9559 0.9777
No log 77.2 386 0.9603 0.3601 0.9603 0.9800
No log 77.6 388 0.9712 0.3945 0.9712 0.9855
No log 78.0 390 0.9839 0.4071 0.9839 0.9919
No log 78.4 392 1.0006 0.4069 1.0006 1.0003
No log 78.8 394 1.0042 0.4071 1.0042 1.0021
No log 79.2 396 1.0032 0.4073 1.0032 1.0016
No log 79.6 398 1.0022 0.3949 1.0022 1.0011
No log 80.0 400 0.9970 0.3612 0.9970 0.9985
No log 80.4 402 0.9942 0.3498 0.9942 0.9971
No log 80.8 404 0.9983 0.3795 0.9983 0.9992
No log 81.2 406 1.0041 0.4302 1.0041 1.0020
No log 81.6 408 1.0106 0.4597 1.0106 1.0053
No log 82.0 410 1.0200 0.4685 1.0200 1.0100
No log 82.4 412 1.0180 0.4685 1.0180 1.0090
No log 82.8 414 1.0100 0.4597 1.0100 1.0050
No log 83.2 416 1.0016 0.4093 1.0016 1.0008
No log 83.6 418 1.0011 0.3787 1.0011 1.0005
No log 84.0 420 1.0065 0.3451 1.0065 1.0032
No log 84.4 422 1.0113 0.3551 1.0113 1.0056
No log 84.8 424 1.0147 0.3551 1.0147 1.0073
No log 85.2 426 1.0161 0.3551 1.0161 1.0080
No log 85.6 428 1.0153 0.3563 1.0153 1.0076
No log 86.0 430 1.0158 0.3563 1.0158 1.0079
No log 86.4 432 1.0145 0.3728 1.0145 1.0072
No log 86.8 434 1.0109 0.3728 1.0109 1.0054
No log 87.2 436 1.0065 0.3728 1.0065 1.0033
No log 87.6 438 1.0015 0.3601 1.0015 1.0007
No log 88.0 440 0.9983 0.3473 0.9983 0.9992
No log 88.4 442 0.9969 0.3486 0.9969 0.9985
No log 88.8 444 0.9970 0.3486 0.9970 0.9985
No log 89.2 446 0.9964 0.3486 0.9964 0.9982
No log 89.6 448 0.9955 0.3486 0.9955 0.9977
No log 90.0 450 0.9945 0.3486 0.9945 0.9972
No log 90.4 452 0.9944 0.3486 0.9944 0.9972
No log 90.8 454 0.9946 0.3486 0.9946 0.9973
No log 91.2 456 0.9939 0.3486 0.9939 0.9970
No log 91.6 458 0.9933 0.3486 0.9933 0.9967
No log 92.0 460 0.9932 0.3473 0.9932 0.9966
No log 92.4 462 0.9940 0.3473 0.9940 0.9970
No log 92.8 464 0.9961 0.3473 0.9961 0.9980
No log 93.2 466 0.9982 0.3601 0.9982 0.9991
No log 93.6 468 1.0006 0.3601 1.0006 1.0003
No log 94.0 470 1.0030 0.3601 1.0030 1.0015
No log 94.4 472 1.0050 0.3601 1.0050 1.0025
No log 94.8 474 1.0074 0.3601 1.0074 1.0037
No log 95.2 476 1.0102 0.3728 1.0102 1.0051
No log 95.6 478 1.0135 0.3849 1.0135 1.0067
No log 96.0 480 1.0176 0.3849 1.0176 1.0088
No log 96.4 482 1.0195 0.3842 1.0195 1.0097
No log 96.8 484 1.0194 0.3842 1.0194 1.0097
No log 97.2 486 1.0200 0.3842 1.0200 1.0099
No log 97.6 488 1.0196 0.3842 1.0196 1.0097
No log 98.0 490 1.0183 0.3842 1.0183 1.0091
No log 98.4 492 1.0172 0.3842 1.0172 1.0086
No log 98.8 494 1.0160 0.3842 1.0160 1.0080
No log 99.2 496 1.0151 0.3842 1.0151 1.0075
No log 99.6 498 1.0143 0.3842 1.0143 1.0071
0.2332 100.0 500 1.0139 0.3842 1.0139 1.0069

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization

Finetuned
(4019)
this model