ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_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: 1.1279
  • Qwk: 0.3010
  • Mse: 1.1279
  • Rmse: 1.0620

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 0.0392 2 4.7827 0.0010 4.7827 2.1869
No log 0.0784 4 2.9496 0.0093 2.9496 1.7174
No log 0.1176 6 2.0361 -0.0433 2.0361 1.4269
No log 0.1569 8 1.7813 0.0217 1.7813 1.3347
No log 0.1961 10 1.3530 0.1403 1.3530 1.1632
No log 0.2353 12 1.5556 0.0749 1.5556 1.2472
No log 0.2745 14 1.8703 0.0844 1.8703 1.3676
No log 0.3137 16 1.5348 0.0227 1.5348 1.2389
No log 0.3529 18 1.1567 0.1959 1.1567 1.0755
No log 0.3922 20 1.0685 0.2191 1.0685 1.0337
No log 0.4314 22 1.1334 0.2040 1.1334 1.0646
No log 0.4706 24 1.1672 0.2191 1.1672 1.0804
No log 0.5098 26 1.1501 0.2342 1.1501 1.0724
No log 0.5490 28 1.3736 0.1587 1.3736 1.1720
No log 0.5882 30 1.4644 0.2074 1.4644 1.2101
No log 0.6275 32 1.3441 0.2292 1.3441 1.1593
No log 0.6667 34 1.2735 0.2141 1.2735 1.1285
No log 0.7059 36 1.3913 0.2544 1.3913 1.1795
No log 0.7451 38 1.4450 0.2411 1.4450 1.2021
No log 0.7843 40 1.6728 0.1555 1.6728 1.2934
No log 0.8235 42 2.0733 0.1148 2.0733 1.4399
No log 0.8627 44 2.1126 0.1168 2.1126 1.4535
No log 0.9020 46 1.6806 0.2644 1.6806 1.2964
No log 0.9412 48 1.2266 0.2532 1.2266 1.1075
No log 0.9804 50 0.9696 0.3441 0.9696 0.9847
No log 1.0196 52 0.9303 0.3762 0.9303 0.9645
No log 1.0588 54 0.9245 0.3704 0.9245 0.9615
No log 1.0980 56 1.1336 0.2446 1.1336 1.0647
No log 1.1373 58 1.6728 0.2243 1.6728 1.2934
No log 1.1765 60 1.7550 0.2199 1.7550 1.3248
No log 1.2157 62 1.7609 0.2644 1.7609 1.3270
No log 1.2549 64 1.5482 0.2939 1.5482 1.2443
No log 1.2941 66 1.5359 0.2959 1.5359 1.2393
No log 1.3333 68 1.5170 0.2593 1.5170 1.2317
No log 1.3725 70 1.3397 0.1549 1.3397 1.1575
No log 1.4118 72 1.2613 0.1735 1.2613 1.1231
No log 1.4510 74 1.3359 0.2028 1.3359 1.1558
No log 1.4902 76 1.3807 0.2349 1.3807 1.1751
No log 1.5294 78 1.1355 0.2067 1.1355 1.0656
No log 1.5686 80 0.9426 0.3590 0.9426 0.9709
No log 1.6078 82 0.9155 0.3487 0.9155 0.9568
No log 1.6471 84 1.0109 0.3188 1.0109 1.0054
No log 1.6863 86 1.1378 0.2895 1.1378 1.0667
No log 1.7255 88 1.3715 0.3685 1.3715 1.1711
No log 1.7647 90 1.8387 0.2228 1.8387 1.3560
No log 1.8039 92 1.8412 0.2338 1.8412 1.3569
No log 1.8431 94 1.5266 0.2723 1.5266 1.2356
No log 1.8824 96 1.3521 0.1404 1.3521 1.1628
No log 1.9216 98 1.2775 0.1735 1.2775 1.1303
No log 1.9608 100 1.3496 0.1882 1.3496 1.1617
No log 2.0 102 1.1872 0.1772 1.1872 1.0896
No log 2.0392 104 1.0911 0.2337 1.0911 1.0446
No log 2.0784 106 1.1453 0.2058 1.1453 1.0702
No log 2.1176 108 1.0738 0.2912 1.0738 1.0363
No log 2.1569 110 1.1157 0.2825 1.1157 1.0563
No log 2.1961 112 1.2173 0.2833 1.2173 1.1033
No log 2.2353 114 1.2489 0.2815 1.2489 1.1175
No log 2.2745 116 1.1386 0.3370 1.1386 1.0671
No log 2.3137 118 1.2273 0.3220 1.2273 1.1078
No log 2.3529 120 1.2306 0.2100 1.2306 1.1093
No log 2.3922 122 1.1490 0.2986 1.1490 1.0719
No log 2.4314 124 1.1337 0.2572 1.1337 1.0647
No log 2.4706 126 1.1373 0.2949 1.1373 1.0665
No log 2.5098 128 1.2333 0.2114 1.2333 1.1106
No log 2.5490 130 1.3087 0.3302 1.3087 1.1440
No log 2.5882 132 1.2740 0.2972 1.2740 1.1287
No log 2.6275 134 1.2633 0.2933 1.2633 1.1240
No log 2.6667 136 1.1856 0.3013 1.1856 1.0888
No log 2.7059 138 1.1597 0.3444 1.1597 1.0769
No log 2.7451 140 1.1503 0.3640 1.1503 1.0725
No log 2.7843 142 1.1100 0.3632 1.1100 1.0535
No log 2.8235 144 1.1666 0.3380 1.1666 1.0801
No log 2.8627 146 1.3407 0.3233 1.3407 1.1579
No log 2.9020 148 1.4778 0.3645 1.4778 1.2156
No log 2.9412 150 1.3674 0.3730 1.3674 1.1693
No log 2.9804 152 1.1714 0.2595 1.1714 1.0823
No log 3.0196 154 1.1438 0.2542 1.1438 1.0695
No log 3.0588 156 1.1088 0.2857 1.1088 1.0530
No log 3.0980 158 1.1117 0.3268 1.1117 1.0544
No log 3.1373 160 1.3173 0.2105 1.3173 1.1477
No log 3.1765 162 1.3098 0.2631 1.3098 1.1445
No log 3.2157 164 1.1573 0.3675 1.1573 1.0758
No log 3.2549 166 1.1043 0.2966 1.1043 1.0508
No log 3.2941 168 1.1079 0.2968 1.1079 1.0526
No log 3.3333 170 1.1274 0.2168 1.1274 1.0618
No log 3.3725 172 1.1880 0.2501 1.1880 1.0899
No log 3.4118 174 1.3542 0.3108 1.3542 1.1637
No log 3.4510 176 1.3391 0.3022 1.3391 1.1572
No log 3.4902 178 1.1747 0.4035 1.1747 1.0838
No log 3.5294 180 1.1388 0.4126 1.1388 1.0672
No log 3.5686 182 1.2869 0.4073 1.2869 1.1344
No log 3.6078 184 1.5733 0.2286 1.5733 1.2543
No log 3.6471 186 1.8606 0.2405 1.8606 1.3640
No log 3.6863 188 1.6304 0.2286 1.6304 1.2769
No log 3.7255 190 1.1875 0.3355 1.1875 1.0897
No log 3.7647 192 1.0261 0.3109 1.0261 1.0130
No log 3.8039 194 1.0492 0.3256 1.0492 1.0243
No log 3.8431 196 1.0549 0.3345 1.0549 1.0271
No log 3.8824 198 1.0888 0.2965 1.0888 1.0435
No log 3.9216 200 1.1054 0.2735 1.1054 1.0514
No log 3.9608 202 1.1956 0.2140 1.1956 1.0934
No log 4.0 204 1.2754 0.2962 1.2754 1.1293
No log 4.0392 206 1.2366 0.2832 1.2366 1.1120
No log 4.0784 208 1.0997 0.3412 1.0997 1.0487
No log 4.1176 210 1.0217 0.3066 1.0217 1.0108
No log 4.1569 212 1.0396 0.3372 1.0396 1.0196
No log 4.1961 214 1.0209 0.3069 1.0209 1.0104
No log 4.2353 216 1.0209 0.3210 1.0209 1.0104
No log 4.2745 218 1.0220 0.3164 1.0220 1.0110
No log 4.3137 220 1.0342 0.2772 1.0342 1.0170
No log 4.3529 222 1.0361 0.2621 1.0361 1.0179
No log 4.3922 224 1.0185 0.3164 1.0185 1.0092
No log 4.4314 226 1.1448 0.2881 1.1448 1.0700
No log 4.4706 228 1.3510 0.3451 1.3510 1.1623
No log 4.5098 230 1.3116 0.3595 1.3116 1.1452
No log 4.5490 232 1.2273 0.3004 1.2273 1.1079
No log 4.5882 234 1.0985 0.2964 1.0985 1.0481
No log 4.6275 236 1.0856 0.2505 1.0856 1.0419
No log 4.6667 238 1.1853 0.2484 1.1853 1.0887
No log 4.7059 240 1.4377 0.3112 1.4377 1.1991
No log 4.7451 242 1.4179 0.2664 1.4179 1.1908
No log 4.7843 244 1.4150 0.2366 1.4150 1.1896
No log 4.8235 246 1.3181 0.2424 1.3181 1.1481
No log 4.8627 248 1.1165 0.2561 1.1165 1.0567
No log 4.9020 250 1.0456 0.3132 1.0456 1.0225
No log 4.9412 252 1.0394 0.2473 1.0394 1.0195
No log 4.9804 254 1.0191 0.2380 1.0191 1.0095
No log 5.0196 256 1.0377 0.3427 1.0377 1.0187
No log 5.0588 258 1.1860 0.3458 1.1860 1.0891
No log 5.0980 260 1.3076 0.2461 1.3076 1.1435
No log 5.1373 262 1.2161 0.3710 1.2161 1.1028
No log 5.1765 264 1.0876 0.3297 1.0876 1.0429
No log 5.2157 266 1.0108 0.3403 1.0108 1.0054
No log 5.2549 268 1.0229 0.3152 1.0229 1.0114
No log 5.2941 270 1.0286 0.3601 1.0286 1.0142
No log 5.3333 272 1.1128 0.3654 1.1128 1.0549
No log 5.3725 274 1.2167 0.2757 1.2167 1.1031
No log 5.4118 276 1.2359 0.2757 1.2359 1.1117
No log 5.4510 278 1.1798 0.3642 1.1798 1.0862
No log 5.4902 280 1.0637 0.4020 1.0637 1.0314
No log 5.5294 282 1.0341 0.3040 1.0341 1.0169
No log 5.5686 284 1.0359 0.3231 1.0359 1.0178
No log 5.6078 286 1.0253 0.3663 1.0253 1.0126
No log 5.6471 288 1.0940 0.2963 1.0940 1.0460
No log 5.6863 290 1.1936 0.1862 1.1936 1.0925
No log 5.7255 292 1.2357 0.2718 1.2357 1.1116
No log 5.7647 294 1.1800 0.2627 1.1800 1.0863
No log 5.8039 296 1.1335 0.3439 1.1335 1.0647
No log 5.8431 298 1.0828 0.3329 1.0828 1.0406
No log 5.8824 300 1.0796 0.3415 1.0796 1.0390
No log 5.9216 302 1.0782 0.3953 1.0782 1.0384
No log 5.9608 304 1.0984 0.2643 1.0984 1.0481
No log 6.0 306 1.1953 0.2424 1.1953 1.0933
No log 6.0392 308 1.2672 0.2617 1.2672 1.1257
No log 6.0784 310 1.2044 0.2031 1.2044 1.0975
No log 6.1176 312 1.1109 0.2455 1.1109 1.0540
No log 6.1569 314 1.0881 0.3577 1.0881 1.0431
No log 6.1961 316 1.1171 0.3046 1.1171 1.0569
No log 6.2353 318 1.1081 0.2558 1.1081 1.0527
No log 6.2745 320 1.0577 0.2587 1.0577 1.0285
No log 6.3137 322 1.0426 0.2915 1.0426 1.0211
No log 6.3529 324 1.0827 0.2851 1.0827 1.0405
No log 6.3922 326 1.0916 0.2921 1.0916 1.0448
No log 6.4314 328 1.0586 0.3329 1.0586 1.0289
No log 6.4706 330 1.0683 0.3237 1.0683 1.0336
No log 6.5098 332 1.1691 0.3450 1.1691 1.0813
No log 6.5490 334 1.1670 0.3129 1.1670 1.0803
No log 6.5882 336 1.1130 0.3338 1.1130 1.0550
No log 6.6275 338 1.0438 0.3386 1.0438 1.0217
No log 6.6667 340 1.0163 0.3497 1.0163 1.0081
No log 6.7059 342 1.0348 0.3458 1.0348 1.0173
No log 6.7451 344 1.1371 0.3363 1.1371 1.0663
No log 6.7843 346 1.2299 0.2832 1.2299 1.1090
No log 6.8235 348 1.1573 0.2963 1.1573 1.0758
No log 6.8627 350 1.0637 0.2988 1.0637 1.0314
No log 6.9020 352 1.0439 0.3108 1.0439 1.0217
No log 6.9412 354 1.0808 0.3280 1.0808 1.0396
No log 6.9804 356 1.1586 0.3074 1.1586 1.0764
No log 7.0196 358 1.2868 0.3004 1.2868 1.1344
No log 7.0588 360 1.3159 0.3303 1.3159 1.1471
No log 7.0980 362 1.1965 0.3330 1.1965 1.0938
No log 7.1373 364 1.0590 0.3568 1.0590 1.0291
No log 7.1765 366 1.0323 0.3301 1.0323 1.0160
No log 7.2157 368 1.0278 0.3115 1.0278 1.0138
No log 7.2549 370 1.0547 0.3163 1.0547 1.0270
No log 7.2941 372 1.0742 0.3062 1.0742 1.0364
No log 7.3333 374 1.0528 0.2614 1.0528 1.0261
No log 7.3725 376 1.0515 0.3163 1.0515 1.0254
No log 7.4118 378 1.0528 0.3062 1.0528 1.0260
No log 7.4510 380 1.0927 0.3237 1.0927 1.0453
No log 7.4902 382 1.2201 0.3088 1.2201 1.1046
No log 7.5294 384 1.2290 0.3174 1.2290 1.1086
No log 7.5686 386 1.2316 0.3947 1.2316 1.1098
No log 7.6078 388 1.1202 0.3670 1.1202 1.0584
No log 7.6471 390 1.0238 0.4494 1.0238 1.0118
No log 7.6863 392 0.9582 0.3500 0.9582 0.9789
No log 7.7255 394 0.9637 0.3996 0.9637 0.9817
No log 7.7647 396 1.0192 0.3741 1.0192 1.0096
No log 7.8039 398 1.0402 0.3452 1.0402 1.0199
No log 7.8431 400 1.0367 0.3782 1.0367 1.0182
No log 7.8824 402 0.9766 0.3765 0.9766 0.9882
No log 7.9216 404 0.9655 0.4385 0.9655 0.9826
No log 7.9608 406 0.9941 0.4100 0.9941 0.9970
No log 8.0 408 1.1572 0.3535 1.1572 1.0758
No log 8.0392 410 1.3895 0.3117 1.3895 1.1788
No log 8.0784 412 1.4655 0.3361 1.4655 1.2106
No log 8.1176 414 1.2962 0.2875 1.2962 1.1385
No log 8.1569 416 1.1130 0.2750 1.1130 1.0550
No log 8.1961 418 1.0453 0.2469 1.0453 1.0224
No log 8.2353 420 1.0265 0.3497 1.0265 1.0131
No log 8.2745 422 1.0503 0.2126 1.0503 1.0248
No log 8.3137 424 1.1984 0.2825 1.1984 1.0947
No log 8.3529 426 1.2626 0.3174 1.2626 1.1237
No log 8.3922 428 1.2105 0.3484 1.2105 1.1002
No log 8.4314 430 1.1372 0.2806 1.1372 1.0664
No log 8.4706 432 1.0870 0.2679 1.0870 1.0426
No log 8.5098 434 1.0968 0.2528 1.0968 1.0473
No log 8.5490 436 1.1336 0.2528 1.1336 1.0647
No log 8.5882 438 1.1383 0.2100 1.1383 1.0669
No log 8.6275 440 1.1400 0.2562 1.1400 1.0677
No log 8.6667 442 1.0945 0.2612 1.0945 1.0462
No log 8.7059 444 1.0773 0.2380 1.0773 1.0379
No log 8.7451 446 1.0680 0.1992 1.0680 1.0335
No log 8.7843 448 1.0649 0.2100 1.0649 1.0320
No log 8.8235 450 1.0620 0.2892 1.0620 1.0305
No log 8.8627 452 1.0880 0.2669 1.0880 1.0431
No log 8.9020 454 1.1681 0.2780 1.1681 1.0808
No log 8.9412 456 1.2513 0.2589 1.2513 1.1186
No log 8.9804 458 1.2748 0.2503 1.2748 1.1291
No log 9.0196 460 1.1808 0.2780 1.1808 1.0866
No log 9.0588 462 1.1205 0.3100 1.1205 1.0585
No log 9.0980 464 1.0375 0.3780 1.0375 1.0186
No log 9.1373 466 1.0194 0.3155 1.0194 1.0096
No log 9.1765 468 1.0332 0.3584 1.0332 1.0164
No log 9.2157 470 1.1034 0.2560 1.1034 1.0504
No log 9.2549 472 1.1298 0.3074 1.1298 1.0629
No log 9.2941 474 1.0764 0.3213 1.0764 1.0375
No log 9.3333 476 1.0267 0.3218 1.0267 1.0133
No log 9.3725 478 0.9899 0.3554 0.9899 0.9949
No log 9.4118 480 0.9926 0.3648 0.9926 0.9963
No log 9.4510 482 1.0477 0.3694 1.0477 1.0236
No log 9.4902 484 1.1786 0.3547 1.1786 1.0857
No log 9.5294 486 1.2910 0.3865 1.2910 1.1362
No log 9.5686 488 1.2365 0.4154 1.2365 1.1120
No log 9.6078 490 1.1340 0.3841 1.1340 1.0649
No log 9.6471 492 1.0696 0.3663 1.0696 1.0342
No log 9.6863 494 1.0037 0.3433 1.0037 1.0018
No log 9.7255 496 0.9925 0.3541 0.9925 0.9962
No log 9.7647 498 0.9834 0.3756 0.9834 0.9917
0.3772 9.8039 500 0.9874 0.3537 0.9874 0.9937
0.3772 9.8431 502 1.0096 0.3728 1.0096 1.0048
0.3772 9.8824 504 1.0694 0.4210 1.0694 1.0341
0.3772 9.9216 506 1.1973 0.3232 1.1973 1.0942
0.3772 9.9608 508 1.3902 0.3022 1.3902 1.1791
0.3772 10.0 510 1.4071 0.2942 1.4071 1.1862
0.3772 10.0392 512 1.3233 0.2899 1.3233 1.1503
0.3772 10.0784 514 1.1279 0.3010 1.1279 1.0620

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
1
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_k10_task2_organization

Finetuned
(4033)
this model