ArabicNewSplits7_usingWellWrittenEssays_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: 1.0123
  • Qwk: 0.3711
  • Mse: 1.0123
  • Rmse: 1.0061

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 0.0690 2 4.6454 -0.0020 4.6454 2.1553
No log 0.1379 4 2.6055 0.0025 2.6055 1.6141
No log 0.2069 6 2.1625 0.0143 2.1625 1.4706
No log 0.2759 8 2.0563 0.0324 2.0563 1.4340
No log 0.3448 10 1.5247 0.0182 1.5247 1.2348
No log 0.4138 12 1.2363 0.1532 1.2363 1.1119
No log 0.4828 14 1.1886 0.1379 1.1886 1.0902
No log 0.5517 16 1.1939 0.1711 1.1939 1.0927
No log 0.6207 18 1.3784 0.0254 1.3784 1.1741
No log 0.6897 20 1.5929 0.0 1.5929 1.2621
No log 0.7586 22 1.4892 0.0 1.4892 1.2203
No log 0.8276 24 1.2276 0.1542 1.2276 1.1080
No log 0.8966 26 1.1763 0.2142 1.1763 1.0846
No log 0.9655 28 1.1921 0.1979 1.1921 1.0919
No log 1.0345 30 1.2465 0.1814 1.2465 1.1165
No log 1.1034 32 1.5569 -0.0535 1.5569 1.2478
No log 1.1724 34 1.7020 0.0793 1.7020 1.3046
No log 1.2414 36 1.7523 0.0033 1.7523 1.3238
No log 1.3103 38 1.5029 0.1542 1.5029 1.2259
No log 1.3793 40 1.3188 0.0654 1.3188 1.1484
No log 1.4483 42 1.2829 0.1335 1.2829 1.1327
No log 1.5172 44 1.2488 0.1556 1.2488 1.1175
No log 1.5862 46 1.2460 0.2342 1.2460 1.1162
No log 1.6552 48 1.4588 0.1772 1.4588 1.2078
No log 1.7241 50 1.5077 0.1196 1.5077 1.2279
No log 1.7931 52 1.2343 0.1865 1.2343 1.1110
No log 1.8621 54 1.0707 0.3603 1.0707 1.0347
No log 1.9310 56 1.0509 0.3299 1.0509 1.0251
No log 2.0 58 1.0824 0.1752 1.0824 1.0404
No log 2.0690 60 1.0970 0.1752 1.0970 1.0474
No log 2.1379 62 1.1368 0.2835 1.1368 1.0662
No log 2.2069 64 1.3277 0.0838 1.3277 1.1522
No log 2.2759 66 1.4978 0.0723 1.4978 1.2239
No log 2.3448 68 1.4254 0.0811 1.4254 1.1939
No log 2.4138 70 1.2430 0.0688 1.2430 1.1149
No log 2.4828 72 1.1293 0.2935 1.1293 1.0627
No log 2.5517 74 1.0813 0.4072 1.0813 1.0399
No log 2.6207 76 1.0692 0.3921 1.0692 1.0340
No log 2.6897 78 1.0735 0.3902 1.0735 1.0361
No log 2.7586 80 1.1464 0.2690 1.1464 1.0707
No log 2.8276 82 1.2223 0.2675 1.2223 1.1056
No log 2.8966 84 1.2232 0.2346 1.2232 1.1060
No log 2.9655 86 1.2903 0.2019 1.2903 1.1359
No log 3.0345 88 1.2289 0.2346 1.2289 1.1085
No log 3.1034 90 1.0991 0.3031 1.0991 1.0484
No log 3.1724 92 1.0551 0.3855 1.0551 1.0272
No log 3.2414 94 1.1354 0.3018 1.1354 1.0656
No log 3.3103 96 1.1983 0.3530 1.1983 1.0946
No log 3.3793 98 1.0883 0.3633 1.0883 1.0432
No log 3.4483 100 1.0806 0.4050 1.0806 1.0395
No log 3.5172 102 1.1054 0.3897 1.1054 1.0514
No log 3.5862 104 1.0486 0.4318 1.0486 1.0240
No log 3.6552 106 1.0682 0.3985 1.0682 1.0335
No log 3.7241 108 1.0650 0.4215 1.0650 1.0320
No log 3.7931 110 1.0845 0.4215 1.0845 1.0414
No log 3.8621 112 1.0785 0.3923 1.0785 1.0385
No log 3.9310 114 1.0960 0.3460 1.0960 1.0469
No log 4.0 116 1.1551 0.3469 1.1551 1.0748
No log 4.0690 118 1.0701 0.3590 1.0701 1.0345
No log 4.1379 120 1.0676 0.3328 1.0676 1.0332
No log 4.2069 122 1.0709 0.4036 1.0709 1.0348
No log 4.2759 124 0.9802 0.4290 0.9802 0.9900
No log 4.3448 126 0.9626 0.4417 0.9626 0.9811
No log 4.4138 128 1.0460 0.4677 1.0460 1.0227
No log 4.4828 130 1.0330 0.4431 1.0330 1.0163
No log 4.5517 132 1.1244 0.3560 1.1244 1.0604
No log 4.6207 134 1.1056 0.3941 1.1056 1.0515
No log 4.6897 136 0.9625 0.4527 0.9625 0.9811
No log 4.7586 138 0.9949 0.4297 0.9949 0.9974
No log 4.8276 140 0.9952 0.4297 0.9952 0.9976
No log 4.8966 142 0.9702 0.4349 0.9702 0.9850
No log 4.9655 144 1.1275 0.3484 1.1275 1.0619
No log 5.0345 146 1.4800 0.3025 1.4800 1.2165
No log 5.1034 148 1.5980 0.2796 1.5980 1.2641
No log 5.1724 150 1.2760 0.3792 1.2760 1.1296
No log 5.2414 152 0.9558 0.5121 0.9558 0.9776
No log 5.3103 154 0.9440 0.4814 0.9440 0.9716
No log 5.3793 156 0.9740 0.4382 0.9740 0.9869
No log 5.4483 158 1.0761 0.4974 1.0761 1.0374
No log 5.5172 160 1.2551 0.4261 1.2551 1.1203
No log 5.5862 162 1.3741 0.3876 1.3741 1.1722
No log 5.6552 164 1.1897 0.3490 1.1897 1.0907
No log 5.7241 166 1.1177 0.3884 1.1177 1.0572
No log 5.7931 168 1.0083 0.4291 1.0083 1.0042
No log 5.8621 170 0.9754 0.4074 0.9754 0.9876
No log 5.9310 172 1.0399 0.3667 1.0399 1.0198
No log 6.0 174 1.0542 0.3413 1.0542 1.0267
No log 6.0690 176 0.9969 0.4007 0.9969 0.9984
No log 6.1379 178 0.8884 0.4459 0.8884 0.9425
No log 6.2069 180 0.9236 0.5060 0.9236 0.9610
No log 6.2759 182 1.1094 0.4583 1.1094 1.0533
No log 6.3448 184 1.1477 0.4293 1.1477 1.0713
No log 6.4138 186 0.9977 0.3980 0.9977 0.9988
No log 6.4828 188 0.9228 0.5176 0.9228 0.9606
No log 6.5517 190 0.9307 0.4586 0.9307 0.9647
No log 6.6207 192 0.9429 0.4685 0.9429 0.9710
No log 6.6897 194 0.8759 0.5264 0.8759 0.9359
No log 6.7586 196 0.8872 0.5470 0.8872 0.9419
No log 6.8276 198 1.0619 0.3921 1.0619 1.0305
No log 6.8966 200 1.3526 0.3209 1.3526 1.1630
No log 6.9655 202 1.3885 0.3099 1.3885 1.1783
No log 7.0345 204 1.1847 0.3411 1.1847 1.0884
No log 7.1034 206 0.9044 0.5029 0.9044 0.9510
No log 7.1724 208 0.8520 0.5175 0.8520 0.9230
No log 7.2414 210 0.8574 0.4498 0.8574 0.9259
No log 7.3103 212 0.8700 0.4927 0.8700 0.9327
No log 7.3793 214 0.9989 0.4289 0.9989 0.9994
No log 7.4483 216 1.1896 0.3024 1.1896 1.0907
No log 7.5172 218 1.2545 0.3134 1.2545 1.1200
No log 7.5862 220 1.1618 0.2798 1.1618 1.0779
No log 7.6552 222 1.0199 0.4127 1.0199 1.0099
No log 7.7241 224 0.9416 0.4300 0.9416 0.9704
No log 7.7931 226 0.9471 0.3931 0.9471 0.9732
No log 7.8621 228 0.9499 0.3434 0.9499 0.9746
No log 7.9310 230 1.0119 0.3996 1.0119 1.0059
No log 8.0 232 1.1404 0.2634 1.1404 1.0679
No log 8.0690 234 1.1457 0.3044 1.1457 1.0704
No log 8.1379 236 1.0377 0.4281 1.0377 1.0187
No log 8.2069 238 0.9411 0.5013 0.9411 0.9701
No log 8.2759 240 0.9227 0.4780 0.9227 0.9606
No log 8.3448 242 0.9561 0.4611 0.9561 0.9778
No log 8.4138 244 1.0110 0.3936 1.0110 1.0055
No log 8.4828 246 1.0071 0.3560 1.0071 1.0035
No log 8.5517 248 1.0148 0.3891 1.0148 1.0074
No log 8.6207 250 0.9813 0.3841 0.9813 0.9906
No log 8.6897 252 0.9511 0.4369 0.9511 0.9753
No log 8.7586 254 0.9231 0.4611 0.9231 0.9608
No log 8.8276 256 0.9293 0.4145 0.9293 0.9640
No log 8.8966 258 0.9602 0.4572 0.9602 0.9799
No log 8.9655 260 1.0675 0.4668 1.0675 1.0332
No log 9.0345 262 1.0312 0.4607 1.0312 1.0155
No log 9.1034 264 1.0011 0.4454 1.0011 1.0005
No log 9.1724 266 0.9381 0.4016 0.9381 0.9686
No log 9.2414 268 0.9309 0.4009 0.9309 0.9648
No log 9.3103 270 0.9310 0.4242 0.9310 0.9649
No log 9.3793 272 0.9314 0.4519 0.9314 0.9651
No log 9.4483 274 0.9742 0.3787 0.9742 0.9870
No log 9.5172 276 1.0505 0.3584 1.0505 1.0250
No log 9.5862 278 1.0823 0.2844 1.0823 1.0403
No log 9.6552 280 1.0337 0.2976 1.0337 1.0167
No log 9.7241 282 1.0356 0.2574 1.0356 1.0176
No log 9.7931 284 1.0392 0.2431 1.0392 1.0194
No log 9.8621 286 1.0149 0.3069 1.0149 1.0074
No log 9.9310 288 1.0037 0.3613 1.0037 1.0018
No log 10.0 290 1.0890 0.2727 1.0890 1.0436
No log 10.0690 292 1.1181 0.2978 1.1181 1.0574
No log 10.1379 294 1.0352 0.3716 1.0352 1.0175
No log 10.2069 296 0.9644 0.3654 0.9644 0.9821
No log 10.2759 298 0.9096 0.3884 0.9096 0.9537
No log 10.3448 300 0.9025 0.3769 0.9025 0.9500
No log 10.4138 302 0.9132 0.4244 0.9132 0.9556
No log 10.4828 304 1.0247 0.3225 1.0247 1.0123
No log 10.5517 306 1.1756 0.2857 1.1756 1.0843
No log 10.6207 308 1.1710 0.2716 1.1710 1.0821
No log 10.6897 310 1.0307 0.3655 1.0307 1.0152
No log 10.7586 312 0.8973 0.4328 0.8973 0.9473
No log 10.8276 314 0.8537 0.5374 0.8537 0.9240
No log 10.8966 316 0.8342 0.5279 0.8342 0.9133
No log 10.9655 318 0.8389 0.5250 0.8389 0.9159
No log 11.0345 320 0.9041 0.4201 0.9041 0.9508
No log 11.1034 322 0.9791 0.4291 0.9791 0.9895
No log 11.1724 324 0.9276 0.4648 0.9276 0.9631
No log 11.2414 326 0.8392 0.5080 0.8392 0.9161
No log 11.3103 328 0.8196 0.4563 0.8196 0.9053
No log 11.3793 330 0.8215 0.4526 0.8215 0.9064
No log 11.4483 332 0.8499 0.4722 0.8499 0.9219
No log 11.5172 334 0.8641 0.4946 0.8641 0.9296
No log 11.5862 336 0.8626 0.5213 0.8626 0.9287
No log 11.6552 338 0.8756 0.5045 0.8756 0.9357
No log 11.7241 340 0.9343 0.4519 0.9343 0.9666
No log 11.7931 342 0.9181 0.4526 0.9181 0.9582
No log 11.8621 344 0.8827 0.4526 0.8827 0.9395
No log 11.9310 346 0.9031 0.4036 0.9031 0.9503
No log 12.0 348 0.9501 0.3401 0.9501 0.9748
No log 12.0690 350 0.9368 0.3994 0.9368 0.9679
No log 12.1379 352 0.9132 0.3557 0.9132 0.9556
No log 12.2069 354 0.8988 0.4036 0.8988 0.9480
No log 12.2759 356 0.9501 0.4295 0.9501 0.9747
No log 12.3448 358 1.0398 0.4539 1.0398 1.0197
No log 12.4138 360 1.2429 0.3304 1.2429 1.1148
No log 12.4828 362 1.3039 0.3576 1.3039 1.1419
No log 12.5517 364 1.1888 0.3523 1.1888 1.0903
No log 12.6207 366 1.0657 0.2381 1.0657 1.0323
No log 12.6897 368 1.0717 0.2236 1.0717 1.0352
No log 12.7586 370 1.0196 0.2702 1.0196 1.0097
No log 12.8276 372 0.9746 0.3879 0.9746 0.9872
No log 12.8966 374 0.9594 0.3656 0.9594 0.9795
No log 12.9655 376 1.0135 0.3762 1.0135 1.0067
No log 13.0345 378 1.0540 0.4096 1.0540 1.0266
No log 13.1034 380 1.0768 0.3739 1.0768 1.0377
No log 13.1724 382 1.0794 0.3739 1.0794 1.0389
No log 13.2414 384 0.9824 0.3753 0.9824 0.9911
No log 13.3103 386 0.9750 0.3753 0.9750 0.9874
No log 13.3793 388 0.9401 0.3165 0.9401 0.9696
No log 13.4483 390 0.8928 0.3957 0.8928 0.9449
No log 13.5172 392 0.8779 0.3616 0.8779 0.9370
No log 13.5862 394 0.8979 0.3462 0.8979 0.9476
No log 13.6552 396 0.9734 0.2619 0.9734 0.9866
No log 13.7241 398 0.9776 0.2781 0.9776 0.9887
No log 13.7931 400 1.0028 0.2619 1.0028 1.0014
No log 13.8621 402 1.0322 0.2669 1.0322 1.0160
No log 13.9310 404 1.0472 0.2669 1.0472 1.0233
No log 14.0 406 1.0288 0.3844 1.0288 1.0143
No log 14.0690 408 0.9881 0.3474 0.9881 0.9940
No log 14.1379 410 0.9533 0.3474 0.9533 0.9764
No log 14.2069 412 0.9776 0.3474 0.9776 0.9887
No log 14.2759 414 0.9935 0.2949 0.9935 0.9968
No log 14.3448 416 0.9899 0.2552 0.9899 0.9949
No log 14.4138 418 0.9637 0.3223 0.9637 0.9817
No log 14.4828 420 0.9843 0.2220 0.9843 0.9921
No log 14.5517 422 1.0023 0.2263 1.0023 1.0012
No log 14.6207 424 1.0532 0.2857 1.0532 1.0263
No log 14.6897 426 1.0035 0.3394 1.0035 1.0018
No log 14.7586 428 0.9527 0.4328 0.9527 0.9761
No log 14.8276 430 1.0052 0.4811 1.0052 1.0026
No log 14.8966 432 1.0275 0.4134 1.0275 1.0137
No log 14.9655 434 0.9701 0.4833 0.9701 0.9850
No log 15.0345 436 0.9370 0.4983 0.9370 0.9680
No log 15.1034 438 0.9519 0.4631 0.9519 0.9756
No log 15.1724 440 0.9807 0.4291 0.9807 0.9903
No log 15.2414 442 1.0333 0.3567 1.0333 1.0165
No log 15.3103 444 1.0543 0.3089 1.0543 1.0268
No log 15.3793 446 0.9667 0.4354 0.9667 0.9832
No log 15.4483 448 0.8873 0.3998 0.8873 0.9420
No log 15.5172 450 0.8848 0.3998 0.8848 0.9407
No log 15.5862 452 0.9109 0.4203 0.9109 0.9544
No log 15.6552 454 0.9767 0.3625 0.9767 0.9883
No log 15.7241 456 1.1133 0.3249 1.1133 1.0551
No log 15.7931 458 1.1312 0.3249 1.1312 1.0636
No log 15.8621 460 1.0700 0.2978 1.0700 1.0344
No log 15.9310 462 0.9866 0.3202 0.9866 0.9933
No log 16.0 464 1.0060 0.1918 1.0060 1.0030
No log 16.0690 466 1.0651 0.2108 1.0651 1.0320
No log 16.1379 468 1.0275 0.2604 1.0275 1.0137
No log 16.2069 470 1.0119 0.3503 1.0119 1.0059
No log 16.2759 472 0.9644 0.4262 0.9644 0.9820
No log 16.3448 474 0.8936 0.4470 0.8936 0.9453
No log 16.4138 476 0.8581 0.4006 0.8581 0.9263
No log 16.4828 478 0.8356 0.3902 0.8356 0.9141
No log 16.5517 480 0.8829 0.4560 0.8829 0.9396
No log 16.6207 482 0.9921 0.4435 0.9921 0.9960
No log 16.6897 484 0.9787 0.4772 0.9787 0.9893
No log 16.7586 486 0.9104 0.3834 0.9104 0.9542
No log 16.8276 488 0.9249 0.3697 0.9249 0.9617
No log 16.8966 490 0.9676 0.3517 0.9676 0.9837
No log 16.9655 492 0.9290 0.3590 0.9290 0.9638
No log 17.0345 494 0.8797 0.4482 0.8797 0.9379
No log 17.1034 496 0.9041 0.3820 0.9041 0.9508
No log 17.1724 498 1.0079 0.4468 1.0079 1.0039
0.4117 17.2414 500 1.0903 0.4304 1.0903 1.0442
0.4117 17.3103 502 1.0323 0.4348 1.0323 1.0160
0.4117 17.3793 504 0.9619 0.4297 0.9619 0.9807
0.4117 17.4483 506 0.9751 0.4631 0.9751 0.9875
0.4117 17.5172 508 1.0505 0.3117 1.0505 1.0249
0.4117 17.5862 510 1.0564 0.3192 1.0564 1.0278
0.4117 17.6552 512 1.0005 0.3711 1.0005 1.0003
0.4117 17.7241 514 0.9970 0.3711 0.9970 0.9985
0.4117 17.7931 516 1.0123 0.3711 1.0123 1.0061

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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k10_task2_organization

Finetuned
(4019)
this model