ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_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: 1.0372
  • Qwk: 0.3130
  • Mse: 1.0372
  • Rmse: 1.0184

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 0.0455 2 4.6236 -0.0191 4.6236 2.1503
No log 0.0909 4 2.9635 -0.0519 2.9635 1.7215
No log 0.1364 6 1.9633 0.0062 1.9633 1.4012
No log 0.1818 8 1.9611 0.0328 1.9611 1.4004
No log 0.2273 10 1.6123 0.0205 1.6123 1.2698
No log 0.2727 12 1.3128 0.1422 1.3128 1.1458
No log 0.3182 14 1.2354 0.1081 1.2354 1.1115
No log 0.3636 16 1.3480 0.0300 1.3480 1.1610
No log 0.4091 18 1.3911 0.0091 1.3911 1.1794
No log 0.4545 20 1.7277 -0.0407 1.7277 1.3144
No log 0.5 22 1.7495 -0.0259 1.7495 1.3227
No log 0.5455 24 1.3203 0.1206 1.3203 1.1490
No log 0.5909 26 1.2981 0.0434 1.2981 1.1393
No log 0.6364 28 1.4906 0.0165 1.4906 1.2209
No log 0.6818 30 2.1008 -0.0291 2.1008 1.4494
No log 0.7273 32 2.1697 0.0091 2.1697 1.4730
No log 0.7727 34 1.7488 0.0774 1.7488 1.3224
No log 0.8182 36 1.6775 0.0489 1.6775 1.2952
No log 0.8636 38 1.7276 0.0876 1.7276 1.3144
No log 0.9091 40 1.5530 0.0911 1.5530 1.2462
No log 0.9545 42 1.4577 0.1257 1.4577 1.2073
No log 1.0 44 1.4695 0.1404 1.4695 1.2122
No log 1.0455 46 1.5000 0.1784 1.5000 1.2248
No log 1.0909 48 1.4331 0.1257 1.4331 1.1971
No log 1.1364 50 1.2382 0.2560 1.2382 1.1128
No log 1.1818 52 1.2410 0.2445 1.2410 1.1140
No log 1.2273 54 1.4709 0.2435 1.4709 1.2128
No log 1.2727 56 1.4501 0.2836 1.4501 1.2042
No log 1.3182 58 1.2200 0.3076 1.2200 1.1046
No log 1.3636 60 1.2405 0.3745 1.2405 1.1138
No log 1.4091 62 1.3288 0.3233 1.3288 1.1528
No log 1.4545 64 1.2137 0.3616 1.2137 1.1017
No log 1.5 66 1.1633 0.2839 1.1633 1.0786
No log 1.5455 68 1.3549 0.2940 1.3549 1.1640
No log 1.5909 70 1.4192 0.2366 1.4192 1.1913
No log 1.6364 72 1.1820 0.2324 1.1820 1.0872
No log 1.6818 74 1.1057 0.2474 1.1057 1.0515
No log 1.7273 76 1.1188 0.2523 1.1188 1.0577
No log 1.7727 78 1.1422 0.2523 1.1422 1.0687
No log 1.8182 80 1.2573 0.2361 1.2573 1.1213
No log 1.8636 82 1.4423 0.2503 1.4423 1.2010
No log 1.9091 84 1.4291 0.2572 1.4291 1.1955
No log 1.9545 86 1.2749 0.2839 1.2749 1.1291
No log 2.0 88 1.2366 0.3117 1.2366 1.1120
No log 2.0455 90 1.3988 0.2731 1.3988 1.1827
No log 2.0909 92 1.7601 0.1752 1.7601 1.3267
No log 2.1364 94 1.5586 0.2075 1.5586 1.2484
No log 2.1818 96 1.1613 0.2654 1.1613 1.0777
No log 2.2273 98 1.1761 0.4114 1.1761 1.0845
No log 2.2727 100 1.2727 0.3637 1.2727 1.1282
No log 2.3182 102 1.1598 0.2502 1.1598 1.0769
No log 2.3636 104 1.4309 0.2690 1.4309 1.1962
No log 2.4091 106 1.8101 0.2020 1.8101 1.3454
No log 2.4545 108 1.6494 0.2742 1.6494 1.2843
No log 2.5 110 1.2643 0.1858 1.2643 1.1244
No log 2.5455 112 1.2173 0.2326 1.2173 1.1033
No log 2.5909 114 1.2501 0.3127 1.2501 1.1181
No log 2.6364 116 1.1714 0.2390 1.1714 1.0823
No log 2.6818 118 1.2244 0.1761 1.2244 1.1065
No log 2.7273 120 1.3632 0.2242 1.3632 1.1676
No log 2.7727 122 1.2832 0.2098 1.2832 1.1328
No log 2.8182 124 1.1590 0.1911 1.1590 1.0766
No log 2.8636 126 1.1704 0.1699 1.1704 1.0819
No log 2.9091 128 1.2074 0.1840 1.2074 1.0988
No log 2.9545 130 1.2013 0.2418 1.2013 1.0960
No log 3.0 132 1.5183 0.2297 1.5183 1.2322
No log 3.0455 134 1.8181 0.2141 1.8181 1.3484
No log 3.0909 136 1.6152 0.2493 1.6152 1.2709
No log 3.1364 138 1.3449 0.2632 1.3449 1.1597
No log 3.1818 140 1.2105 0.2418 1.2105 1.1002
No log 3.2273 142 1.1388 0.2691 1.1388 1.0671
No log 3.2727 144 1.1138 0.2784 1.1138 1.0554
No log 3.3182 146 1.1256 0.2555 1.1256 1.0609
No log 3.3636 148 1.1186 0.2221 1.1186 1.0576
No log 3.4091 150 1.0675 0.2850 1.0675 1.0332
No log 3.4545 152 1.0755 0.3486 1.0755 1.0371
No log 3.5 154 1.1293 0.2906 1.1293 1.0627
No log 3.5455 156 1.1804 0.4381 1.1804 1.0865
No log 3.5909 158 1.3461 0.4824 1.3461 1.1602
No log 3.6364 160 1.4763 0.3861 1.4763 1.2150
No log 3.6818 162 1.4556 0.3898 1.4556 1.2065
No log 3.7273 164 1.2862 0.4160 1.2862 1.1341
No log 3.7727 166 1.2573 0.3056 1.2573 1.1213
No log 3.8182 168 1.2683 0.2418 1.2683 1.1262
No log 3.8636 170 1.3128 0.3056 1.3128 1.1458
No log 3.9091 172 1.3465 0.2991 1.3465 1.1604
No log 3.9545 174 1.3118 0.2411 1.3118 1.1453
No log 4.0 176 1.2953 0.2311 1.2953 1.1381
No log 4.0455 178 1.2942 0.2916 1.2942 1.1376
No log 4.0909 180 1.2801 0.2672 1.2801 1.1314
No log 4.1364 182 1.3084 0.2707 1.3084 1.1438
No log 4.1818 184 1.3287 0.3389 1.3287 1.1527
No log 4.2273 186 1.2725 0.3266 1.2725 1.1280
No log 4.2727 188 1.2394 0.2542 1.2394 1.1133
No log 4.3182 190 1.2507 0.2979 1.2507 1.1183
No log 4.3636 192 1.1880 0.2908 1.1880 1.0899
No log 4.4091 194 1.1663 0.3468 1.1663 1.0800
No log 4.4545 196 1.1695 0.3261 1.1695 1.0814
No log 4.5 198 1.1829 0.3172 1.1829 1.0876
No log 4.5455 200 1.1978 0.1915 1.1978 1.0944
No log 4.5909 202 1.2831 0.2654 1.2831 1.1328
No log 4.6364 204 1.2458 0.3237 1.2458 1.1162
No log 4.6818 206 1.2431 0.3199 1.2431 1.1149
No log 4.7273 208 1.2203 0.2869 1.2203 1.1047
No log 4.7727 210 1.2550 0.2120 1.2550 1.1202
No log 4.8182 212 1.4385 0.3021 1.4385 1.1994
No log 4.8636 214 1.3914 0.2339 1.3914 1.1796
No log 4.9091 216 1.2195 0.1829 1.2195 1.1043
No log 4.9545 218 1.2077 0.2497 1.2077 1.0990
No log 5.0 220 1.2334 0.2497 1.2334 1.1106
No log 5.0455 222 1.2463 0.3562 1.2463 1.1164
No log 5.0909 224 1.4963 0.2125 1.4963 1.2232
No log 5.1364 226 1.5974 0.2745 1.5974 1.2639
No log 5.1818 228 1.3662 0.2775 1.3662 1.1688
No log 5.2273 230 1.1368 0.3384 1.1368 1.0662
No log 5.2727 232 1.1042 0.3040 1.1042 1.0508
No log 5.3182 234 1.1125 0.3107 1.1125 1.0547
No log 5.3636 236 1.0845 0.3310 1.0845 1.0414
No log 5.4091 238 1.0370 0.3014 1.0370 1.0183
No log 5.4545 240 1.0877 0.2452 1.0877 1.0429
No log 5.5 242 1.0657 0.2871 1.0657 1.0323
No log 5.5455 244 1.0307 0.3369 1.0307 1.0152
No log 5.5909 246 1.0498 0.4144 1.0498 1.0246
No log 5.6364 248 1.0410 0.4124 1.0410 1.0203
No log 5.6818 250 1.0415 0.3516 1.0415 1.0205
No log 5.7273 252 1.1185 0.3471 1.1185 1.0576
No log 5.7727 254 1.0859 0.3862 1.0859 1.0421
No log 5.8182 256 1.0356 0.4196 1.0356 1.0177
No log 5.8636 258 1.0525 0.3522 1.0525 1.0259
No log 5.9091 260 1.0677 0.2845 1.0677 1.0333
No log 5.9545 262 1.0343 0.3087 1.0343 1.0170
No log 6.0 264 0.9955 0.4601 0.9955 0.9978
No log 6.0455 266 1.0057 0.3556 1.0057 1.0028
No log 6.0909 268 1.0760 0.4090 1.0760 1.0373
No log 6.1364 270 1.0400 0.4255 1.0400 1.0198
No log 6.1818 272 0.9832 0.4385 0.9832 0.9916
No log 6.2273 274 1.0121 0.3468 1.0121 1.0060
No log 6.2727 276 1.0188 0.4311 1.0188 1.0094
No log 6.3182 278 1.0644 0.5063 1.0644 1.0317
No log 6.3636 280 1.1502 0.4254 1.1502 1.0725
No log 6.4091 282 1.1346 0.4275 1.1346 1.0652
No log 6.4545 284 1.0835 0.4141 1.0835 1.0409
No log 6.5 286 1.0830 0.3459 1.0830 1.0407
No log 6.5455 288 1.0688 0.3353 1.0688 1.0338
No log 6.5909 290 1.0644 0.2115 1.0644 1.0317
No log 6.6364 292 1.1039 0.2605 1.1039 1.0507
No log 6.6818 294 1.1027 0.2605 1.1027 1.0501
No log 6.7273 296 1.0874 0.2461 1.0874 1.0428
No log 6.7727 298 1.0564 0.2824 1.0564 1.0278
No log 6.8182 300 1.0703 0.3304 1.0703 1.0345
No log 6.8636 302 1.1098 0.2933 1.1098 1.0535
No log 6.9091 304 1.1678 0.3672 1.1678 1.0807
No log 6.9545 306 1.2389 0.4887 1.2389 1.1131
No log 7.0 308 1.2254 0.4081 1.2254 1.1070
No log 7.0455 310 1.1879 0.2515 1.1879 1.0899
No log 7.0909 312 1.1448 0.2583 1.1448 1.0700
No log 7.1364 314 1.0920 0.2125 1.0920 1.0450
No log 7.1818 316 1.0994 0.2550 1.0994 1.0485
No log 7.2273 318 1.1049 0.2941 1.1049 1.0512
No log 7.2727 320 1.0962 0.2550 1.0962 1.0470
No log 7.3182 322 1.1061 0.2823 1.1061 1.0517
No log 7.3636 324 1.0854 0.2993 1.0854 1.0418
No log 7.4091 326 1.0970 0.2931 1.0970 1.0474
No log 7.4545 328 1.0959 0.3601 1.0959 1.0468
No log 7.5 330 1.1018 0.3514 1.1018 1.0497
No log 7.5455 332 1.1270 0.3012 1.1270 1.0616
No log 7.5909 334 1.1560 0.3056 1.1560 1.0752
No log 7.6364 336 1.1708 0.2805 1.1708 1.0820
No log 7.6818 338 1.0902 0.3796 1.0902 1.0441
No log 7.7273 340 1.0976 0.3041 1.0976 1.0477
No log 7.7727 342 1.1454 0.3458 1.1454 1.0702
No log 7.8182 344 1.0864 0.2912 1.0864 1.0423
No log 7.8636 346 1.0409 0.3897 1.0409 1.0203
No log 7.9091 348 1.0399 0.3415 1.0399 1.0198
No log 7.9545 350 1.0482 0.4144 1.0482 1.0238
No log 8.0 352 1.0600 0.3794 1.0600 1.0296
No log 8.0455 354 1.0437 0.3225 1.0437 1.0216
No log 8.0909 356 1.0471 0.3415 1.0471 1.0233
No log 8.1364 358 1.0569 0.3237 1.0569 1.0281
No log 8.1818 360 1.0494 0.3788 1.0494 1.0244
No log 8.2273 362 1.0416 0.3445 1.0416 1.0206
No log 8.2727 364 1.0552 0.3561 1.0552 1.0272
No log 8.3182 366 1.0417 0.3176 1.0417 1.0206
No log 8.3636 368 1.0360 0.2941 1.0360 1.0178
No log 8.4091 370 1.0347 0.2941 1.0347 1.0172
No log 8.4545 372 1.0135 0.3275 1.0135 1.0067
No log 8.5 374 1.0223 0.3919 1.0223 1.0111
No log 8.5455 376 1.0219 0.3392 1.0219 1.0109
No log 8.5909 378 1.0281 0.3392 1.0281 1.0140
No log 8.6364 380 1.0267 0.3981 1.0267 1.0132
No log 8.6818 382 1.0738 0.3812 1.0738 1.0362
No log 8.7273 384 1.0873 0.3439 1.0873 1.0427
No log 8.7727 386 1.0393 0.2988 1.0393 1.0195
No log 8.8182 388 1.0295 0.2728 1.0295 1.0146
No log 8.8636 390 1.0452 0.2988 1.0452 1.0223
No log 8.9091 392 1.1449 0.2961 1.1449 1.0700
No log 8.9545 394 1.1752 0.2870 1.1752 1.0841
No log 9.0 396 1.0767 0.3827 1.0767 1.0376
No log 9.0455 398 1.0324 0.3811 1.0324 1.0161
No log 9.0909 400 1.0228 0.3811 1.0228 1.0113
No log 9.1364 402 1.0288 0.2988 1.0288 1.0143
No log 9.1818 404 1.1171 0.3028 1.1171 1.0569
No log 9.2273 406 1.2594 0.3562 1.2594 1.1222
No log 9.2727 408 1.2305 0.3220 1.2305 1.1093
No log 9.3182 410 1.0992 0.3142 1.0992 1.0484
No log 9.3636 412 1.0234 0.3459 1.0234 1.0116
No log 9.4091 414 1.0535 0.3382 1.0535 1.0264
No log 9.4545 416 1.0486 0.3038 1.0486 1.0240
No log 9.5 418 1.0709 0.3741 1.0709 1.0348
No log 9.5455 420 1.2103 0.3007 1.2103 1.1001
No log 9.5909 422 1.2333 0.2962 1.2333 1.1105
No log 9.6364 424 1.1146 0.2511 1.1146 1.0557
No log 9.6818 426 1.0421 0.3039 1.0421 1.0209
No log 9.7273 428 1.0583 0.3396 1.0583 1.0287
No log 9.7727 430 1.0615 0.3396 1.0615 1.0303
No log 9.8182 432 1.0480 0.2661 1.0480 1.0237
No log 9.8636 434 1.0779 0.2700 1.0779 1.0382
No log 9.9091 436 1.1605 0.3050 1.1605 1.0773
No log 9.9545 438 1.1589 0.3050 1.1589 1.0765
No log 10.0 440 1.0626 0.3218 1.0626 1.0308
No log 10.0455 442 1.0289 0.2931 1.0289 1.0144
No log 10.0909 444 1.0564 0.4166 1.0564 1.0278
No log 10.1364 446 1.1130 0.3438 1.1130 1.0550
No log 10.1818 448 1.0699 0.3686 1.0699 1.0344
No log 10.2273 450 1.0196 0.3408 1.0196 1.0097
No log 10.2727 452 1.0114 0.3059 1.0114 1.0057
No log 10.3182 454 1.0543 0.2938 1.0543 1.0268
No log 10.3636 456 1.1457 0.3291 1.1457 1.0704
No log 10.4091 458 1.1420 0.3611 1.1420 1.0687
No log 10.4545 460 1.0432 0.3719 1.0432 1.0214
No log 10.5 462 0.9881 0.4514 0.9881 0.9940
No log 10.5455 464 0.9790 0.3384 0.9790 0.9895
No log 10.5909 466 0.9771 0.3590 0.9771 0.9885
No log 10.6364 468 0.9788 0.3128 0.9788 0.9894
No log 10.6818 470 1.0054 0.3773 1.0054 1.0027
No log 10.7273 472 1.0008 0.3773 1.0008 1.0004
No log 10.7727 474 1.0105 0.3952 1.0105 1.0053
No log 10.8182 476 0.9778 0.3701 0.9778 0.9888
No log 10.8636 478 0.9617 0.3590 0.9617 0.9806
No log 10.9091 480 0.9558 0.3590 0.9558 0.9776
No log 10.9545 482 0.9548 0.3590 0.9548 0.9771
No log 11.0 484 0.9546 0.4064 0.9546 0.9770
No log 11.0455 486 0.9884 0.3433 0.9884 0.9942
No log 11.0909 488 1.0545 0.3052 1.0545 1.0269
No log 11.1364 490 1.0128 0.3100 1.0128 1.0064
No log 11.1818 492 0.9631 0.3869 0.9631 0.9814
No log 11.2273 494 0.9482 0.4160 0.9482 0.9738
No log 11.2727 496 0.9523 0.4064 0.9523 0.9759
No log 11.3182 498 0.9933 0.3448 0.9933 0.9966
0.3245 11.3636 500 1.0289 0.3273 1.0289 1.0144
0.3245 11.4091 502 1.0507 0.3121 1.0507 1.0250
0.3245 11.4545 504 1.0315 0.3010 1.0315 1.0156
0.3245 11.5 506 1.0069 0.2941 1.0069 1.0035
0.3245 11.5455 508 1.0364 0.2263 1.0364 1.0180
0.3245 11.5909 510 1.0372 0.3130 1.0372 1.0184

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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task2_organization

Finetuned
(4032)
this model