ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k11_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: 1.2021
  • Qwk: 0.5113
  • Mse: 1.2021
  • Rmse: 1.0964

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 0.0417 2 7.0863 0.0 7.0863 2.6620
No log 0.0833 4 4.9299 0.0558 4.9299 2.2203
No log 0.125 6 4.4405 -0.0588 4.4405 2.1073
No log 0.1667 8 3.1816 -0.0240 3.1816 1.7837
No log 0.2083 10 2.1195 0.1692 2.1195 1.4559
No log 0.25 12 2.4282 0.2038 2.4282 1.5583
No log 0.2917 14 2.0452 0.2047 2.0452 1.4301
No log 0.3333 16 1.5903 0.2435 1.5903 1.2611
No log 0.375 18 1.4557 0.2281 1.4557 1.2065
No log 0.4167 20 1.5274 0.2810 1.5274 1.2359
No log 0.4583 22 1.6098 0.3511 1.6098 1.2688
No log 0.5 24 1.4804 0.4088 1.4804 1.2167
No log 0.5417 26 1.2790 0.4651 1.2790 1.1309
No log 0.5833 28 1.1776 0.5246 1.1776 1.0852
No log 0.625 30 1.2467 0.4724 1.2467 1.1166
No log 0.6667 32 1.6155 0.4167 1.6155 1.2710
No log 0.7083 34 1.6276 0.4179 1.6276 1.2758
No log 0.75 36 1.3705 0.3220 1.3705 1.1707
No log 0.7917 38 1.6580 0.1887 1.6580 1.2876
No log 0.8333 40 1.7090 0.1905 1.7090 1.3073
No log 0.875 42 1.2795 0.3826 1.2795 1.1312
No log 0.9167 44 1.1663 0.5077 1.1663 1.0799
No log 0.9583 46 1.4257 0.5324 1.4257 1.1940
No log 1.0 48 1.3096 0.5333 1.3096 1.1444
No log 1.0417 50 1.0171 0.5625 1.0171 1.0085
No log 1.0833 52 1.0272 0.5891 1.0272 1.0135
No log 1.125 54 1.0107 0.6061 1.0107 1.0054
No log 1.1667 56 0.9377 0.5954 0.9377 0.9684
No log 1.2083 58 1.0141 0.6074 1.0141 1.0070
No log 1.25 60 1.2151 0.5147 1.2151 1.1023
No log 1.2917 62 1.1610 0.5147 1.1610 1.0775
No log 1.3333 64 1.1455 0.5401 1.1455 1.0703
No log 1.375 66 0.9824 0.6324 0.9824 0.9912
No log 1.4167 68 0.8951 0.6324 0.8951 0.9461
No log 1.4583 70 1.0076 0.6370 1.0076 1.0038
No log 1.5 72 1.4460 0.4029 1.4460 1.2025
No log 1.5417 74 1.3945 0.3768 1.3945 1.1809
No log 1.5833 76 1.0248 0.6471 1.0248 1.0123
No log 1.625 78 0.9348 0.6418 0.9348 0.9669
No log 1.6667 80 0.9542 0.6260 0.9542 0.9768
No log 1.7083 82 1.1890 0.6015 1.1890 1.0904
No log 1.75 84 1.8621 0.2571 1.8621 1.3646
No log 1.7917 86 2.1592 0.1014 2.1592 1.4694
No log 1.8333 88 2.0089 0.1986 2.0089 1.4173
No log 1.875 90 1.5560 0.3382 1.5560 1.2474
No log 1.9167 92 1.2654 0.5496 1.2654 1.1249
No log 1.9583 94 1.2391 0.5625 1.2391 1.1132
No log 2.0 96 1.3478 0.4776 1.3478 1.1610
No log 2.0417 98 1.7414 0.2878 1.7414 1.3196
No log 2.0833 100 1.9650 0.2143 1.9650 1.4018
No log 2.125 102 1.7842 0.2270 1.7842 1.3357
No log 2.1667 104 1.2996 0.4688 1.2996 1.1400
No log 2.2083 106 1.1417 0.5124 1.1417 1.0685
No log 2.25 108 1.0963 0.5323 1.0963 1.0470
No log 2.2917 110 1.0522 0.5512 1.0522 1.0258
No log 2.3333 112 1.1053 0.5538 1.1053 1.0513
No log 2.375 114 1.1243 0.5271 1.1243 1.0603
No log 2.4167 116 1.0984 0.5238 1.0984 1.0481
No log 2.4583 118 1.0609 0.6190 1.0609 1.0300
No log 2.5 120 1.0950 0.4959 1.0950 1.0464
No log 2.5417 122 1.0877 0.5246 1.0877 1.0429
No log 2.5833 124 1.0919 0.6418 1.0919 1.0450
No log 2.625 126 1.4243 0.4179 1.4243 1.1934
No log 2.6667 128 1.8103 0.2734 1.8103 1.3455
No log 2.7083 130 2.2475 0.0455 2.2475 1.4992
No log 2.75 132 2.2916 0.0305 2.2916 1.5138
No log 2.7917 134 1.9515 0.0902 1.9515 1.3970
No log 2.8333 136 1.4890 0.3704 1.4890 1.2203
No log 2.875 138 1.3755 0.4776 1.3755 1.1728
No log 2.9167 140 1.3469 0.4697 1.3469 1.1605
No log 2.9583 142 1.3505 0.4462 1.3505 1.1621
No log 3.0 144 1.3091 0.4769 1.3091 1.1441
No log 3.0417 146 1.2731 0.5191 1.2731 1.1283
No log 3.0833 148 1.3298 0.4545 1.3298 1.1532
No log 3.125 150 1.6178 0.3217 1.6178 1.2719
No log 3.1667 152 1.5714 0.3043 1.5714 1.2536
No log 3.2083 154 1.4280 0.3582 1.4280 1.1950
No log 3.25 156 1.1659 0.5985 1.1659 1.0797
No log 3.2917 158 1.1825 0.5736 1.1825 1.0874
No log 3.3333 160 1.2438 0.5312 1.2438 1.1152
No log 3.375 162 1.5000 0.4394 1.5000 1.2247
No log 3.4167 164 1.5156 0.3939 1.5156 1.2311
No log 3.4583 166 1.2800 0.5116 1.2800 1.1314
No log 3.5 168 1.2280 0.5385 1.2280 1.1081
No log 3.5417 170 1.4657 0.4275 1.4657 1.2107
No log 3.5833 172 1.4867 0.3910 1.4867 1.2193
No log 3.625 174 1.1911 0.5538 1.1911 1.0914
No log 3.6667 176 1.1248 0.5938 1.1248 1.0606
No log 3.7083 178 1.1948 0.5469 1.1948 1.0931
No log 3.75 180 1.4235 0.4122 1.4235 1.1931
No log 3.7917 182 1.5357 0.3284 1.5357 1.2392
No log 3.8333 184 1.3469 0.4844 1.3469 1.1606
No log 3.875 186 1.1703 0.5410 1.1703 1.0818
No log 3.9167 188 1.1508 0.5854 1.1508 1.0728
No log 3.9583 190 1.1900 0.5496 1.1900 1.0909
No log 4.0 192 1.4097 0.3333 1.4097 1.1873
No log 4.0417 194 1.5598 0.3308 1.5598 1.2489
No log 4.0833 196 1.3285 0.4242 1.3285 1.1526
No log 4.125 198 1.0818 0.5397 1.0818 1.0401
No log 4.1667 200 1.0717 0.5167 1.0717 1.0352
No log 4.2083 202 1.1027 0.5167 1.1027 1.0501
No log 4.25 204 1.1334 0.5366 1.1334 1.0646
No log 4.2917 206 1.3352 0.4769 1.3352 1.1555
No log 4.3333 208 1.5081 0.3741 1.5081 1.2281
No log 4.375 210 1.4495 0.3529 1.4495 1.2040
No log 4.4167 212 1.2311 0.5588 1.2311 1.1096
No log 4.4583 214 1.2026 0.5547 1.2026 1.0966
No log 4.5 216 1.2240 0.5547 1.2240 1.1064
No log 4.5417 218 1.4455 0.3529 1.4455 1.2023
No log 4.5833 220 1.6305 0.3165 1.6305 1.2769
No log 4.625 222 1.6635 0.3165 1.6635 1.2898
No log 4.6667 224 1.5339 0.3358 1.5339 1.2385
No log 4.7083 226 1.5473 0.3358 1.5473 1.2439
No log 4.75 228 1.4060 0.3971 1.4060 1.1858
No log 4.7917 230 1.1699 0.5672 1.1699 1.0816
No log 4.8333 232 1.1040 0.5672 1.1040 1.0507
No log 4.875 234 1.1319 0.5147 1.1319 1.0639
No log 4.9167 236 1.2880 0.4672 1.2880 1.1349
No log 4.9583 238 1.4212 0.3971 1.4212 1.1921
No log 5.0 240 1.2310 0.4853 1.2310 1.1095
No log 5.0417 242 0.9758 0.6176 0.9758 0.9878
No log 5.0833 244 0.9173 0.6667 0.9173 0.9577
No log 5.125 246 1.0574 0.5797 1.0574 1.0283
No log 5.1667 248 1.3139 0.4853 1.3139 1.1462
No log 5.2083 250 1.2483 0.4853 1.2483 1.1173
No log 5.25 252 1.0258 0.6176 1.0258 1.0128
No log 5.2917 254 0.9502 0.6222 0.9502 0.9748
No log 5.3333 256 0.9477 0.6364 0.9477 0.9735
No log 5.375 258 1.0156 0.6515 1.0156 1.0078
No log 5.4167 260 1.1935 0.5735 1.1935 1.0925
No log 5.4583 262 1.4422 0.4412 1.4422 1.2009
No log 5.5 264 1.4422 0.4148 1.4422 1.2009
No log 5.5417 266 1.2567 0.5113 1.2567 1.1210
No log 5.5833 268 1.0970 0.6462 1.0970 1.0474
No log 5.625 270 1.0773 0.5760 1.0773 1.0379
No log 5.6667 272 1.0644 0.5760 1.0644 1.0317
No log 5.7083 274 1.1180 0.6154 1.1180 1.0574
No log 5.75 276 1.3173 0.4925 1.3173 1.1477
No log 5.7917 278 1.3516 0.4412 1.3516 1.1626
No log 5.8333 280 1.1634 0.5507 1.1634 1.0786
No log 5.875 282 1.0851 0.6471 1.0851 1.0417
No log 5.9167 284 1.0775 0.6471 1.0775 1.0380
No log 5.9583 286 1.0557 0.6767 1.0557 1.0275
No log 6.0 288 1.0357 0.6767 1.0357 1.0177
No log 6.0417 290 1.1502 0.5481 1.1502 1.0725
No log 6.0833 292 1.3752 0.4203 1.3752 1.1727
No log 6.125 294 1.4152 0.4029 1.4152 1.1896
No log 6.1667 296 1.4352 0.4336 1.4352 1.1980
No log 6.2083 298 1.5129 0.4225 1.5129 1.2300
No log 6.25 300 1.3725 0.4583 1.3725 1.1716
No log 6.2917 302 1.1994 0.6143 1.1994 1.0952
No log 6.3333 304 1.1508 0.6131 1.1508 1.0728
No log 6.375 306 1.0540 0.6308 1.0540 1.0266
No log 6.4167 308 1.0408 0.5574 1.0408 1.0202
No log 6.4583 310 1.0187 0.6457 1.0187 1.0093
No log 6.5 312 0.9330 0.6718 0.9330 0.9659
No log 6.5417 314 0.8406 0.6667 0.8406 0.9168
No log 6.5833 316 0.7340 0.6912 0.7340 0.8567
No log 6.625 318 0.7070 0.7153 0.7070 0.8409
No log 6.6667 320 0.7339 0.7015 0.7339 0.8567
No log 6.7083 322 0.8973 0.6525 0.8973 0.9473
No log 6.75 324 1.0009 0.5899 1.0009 1.0005
No log 6.7917 326 1.0964 0.5797 1.0964 1.0471
No log 6.8333 328 1.0702 0.5588 1.0702 1.0345
No log 6.875 330 1.0823 0.5778 1.0823 1.0403
No log 6.9167 332 1.1361 0.5672 1.1361 1.0659
No log 6.9583 334 1.0700 0.6212 1.0700 1.0344
No log 7.0 336 0.9873 0.6165 0.9873 0.9936
No log 7.0417 338 0.9747 0.6165 0.9747 0.9873
No log 7.0833 340 1.0596 0.6370 1.0596 1.0294
No log 7.125 342 1.0862 0.6370 1.0862 1.0422
No log 7.1667 344 1.0713 0.6370 1.0713 1.0351
No log 7.2083 346 1.1065 0.6316 1.1065 1.0519
No log 7.25 348 1.1492 0.6119 1.1492 1.0720
No log 7.2917 350 1.0838 0.5954 1.0838 1.0411
No log 7.3333 352 1.0492 0.6 1.0492 1.0243
No log 7.375 354 1.0568 0.5736 1.0568 1.0280
No log 7.4167 356 1.0798 0.5802 1.0798 1.0391
No log 7.4583 358 1.0742 0.5865 1.0742 1.0364
No log 7.5 360 1.1866 0.5588 1.1866 1.0893
No log 7.5417 362 1.2701 0.5217 1.2701 1.1270
No log 7.5833 364 1.2263 0.5352 1.2263 1.1074
No log 7.625 366 1.1878 0.5674 1.1878 1.0899
No log 7.6667 368 1.1173 0.5674 1.1173 1.0570
No log 7.7083 370 1.1111 0.5441 1.1111 1.0541
No log 7.75 372 1.1154 0.5693 1.1154 1.0561
No log 7.7917 374 1.1725 0.5547 1.1725 1.0828
No log 7.8333 376 1.1718 0.5882 1.1718 1.0825
No log 7.875 378 1.0617 0.6165 1.0617 1.0304
No log 7.9167 380 1.0239 0.6107 1.0239 1.0119
No log 7.9583 382 1.0599 0.6 1.0599 1.0295
No log 8.0 384 1.0622 0.5891 1.0622 1.0306
No log 8.0417 386 1.1066 0.6061 1.1066 1.0519
No log 8.0833 388 1.0915 0.6165 1.0915 1.0447
No log 8.125 390 1.0875 0.5926 1.0875 1.0428
No log 8.1667 392 1.0026 0.6165 1.0026 1.0013
No log 8.2083 394 0.9273 0.5938 0.9273 0.9629
No log 8.25 396 0.9548 0.5827 0.9548 0.9771
No log 8.2917 398 0.9880 0.5484 0.9880 0.9940
No log 8.3333 400 1.0434 0.5246 1.0434 1.0214
No log 8.375 402 1.0741 0.5203 1.0741 1.0364
No log 8.4167 404 1.1190 0.5366 1.1190 1.0578
No log 8.4583 406 1.1970 0.5581 1.1970 1.0941
No log 8.5 408 1.2397 0.5649 1.2397 1.1134
No log 8.5417 410 1.1698 0.5512 1.1698 1.0816
No log 8.5833 412 1.1608 0.5161 1.1608 1.0774
No log 8.625 414 1.2042 0.5512 1.2042 1.0974
No log 8.6667 416 1.2801 0.4921 1.2801 1.1314
No log 8.7083 418 1.3084 0.4844 1.3084 1.1438
No log 8.75 420 1.2386 0.4960 1.2386 1.1129
No log 8.7917 422 1.1632 0.4960 1.1632 1.0785
No log 8.8333 424 1.0760 0.5512 1.0760 1.0373
No log 8.875 426 1.0421 0.5736 1.0421 1.0209
No log 8.9167 428 1.0763 0.5891 1.0763 1.0374
No log 8.9583 430 1.2152 0.5263 1.2152 1.1024
No log 9.0 432 1.2607 0.5 1.2607 1.1228
No log 9.0417 434 1.1954 0.5263 1.1954 1.0933
No log 9.0833 436 1.0052 0.6 1.0052 1.0026
No log 9.125 438 0.9643 0.5984 0.9643 0.9820
No log 9.1667 440 0.9763 0.5873 0.9763 0.9881
No log 9.2083 442 1.0344 0.5846 1.0344 1.0171
No log 9.25 444 1.2768 0.5 1.2768 1.1300
No log 9.2917 446 1.6414 0.3333 1.6414 1.2812
No log 9.3333 448 1.7206 0.3066 1.7206 1.3117
No log 9.375 450 1.5448 0.3358 1.5448 1.2429
No log 9.4167 452 1.4298 0.4148 1.4298 1.1958
No log 9.4583 454 1.1893 0.6 1.1893 1.0905
No log 9.5 456 1.0943 0.5484 1.0943 1.0461
No log 9.5417 458 1.0539 0.5440 1.0539 1.0266
No log 9.5833 460 1.0641 0.5827 1.0641 1.0316
No log 9.625 462 1.1681 0.5354 1.1681 1.0808
No log 9.6667 464 1.3422 0.4462 1.3422 1.1585
No log 9.7083 466 1.3609 0.4733 1.3609 1.1666
No log 9.75 468 1.2287 0.5385 1.2287 1.1085
No log 9.7917 470 1.1974 0.6 1.1974 1.0943
No log 9.8333 472 1.2135 0.5954 1.2135 1.1016
No log 9.875 474 1.2490 0.5846 1.2490 1.1176
No log 9.9167 476 1.1358 0.6 1.1358 1.0658
No log 9.9583 478 0.9855 0.5938 0.9855 0.9927
No log 10.0 480 0.9389 0.5528 0.9389 0.9690
No log 10.0417 482 0.9573 0.5455 0.9573 0.9784
No log 10.0833 484 0.9664 0.5333 0.9664 0.9831
No log 10.125 486 0.9522 0.608 0.9522 0.9758
No log 10.1667 488 0.9885 0.5802 0.9885 0.9942
No log 10.2083 490 1.0174 0.5758 1.0174 1.0087
No log 10.25 492 0.9173 0.6015 0.9173 0.9577
No log 10.2917 494 0.8528 0.6357 0.8528 0.9235
No log 10.3333 496 0.8789 0.6308 0.8789 0.9375
No log 10.375 498 0.9071 0.6412 0.9071 0.9524
0.3551 10.4167 500 0.9779 0.6212 0.9779 0.9889
0.3551 10.4583 502 1.0219 0.6015 1.0219 1.0109
0.3551 10.5 504 1.0671 0.5865 1.0671 1.0330
0.3551 10.5417 506 1.0475 0.5909 1.0475 1.0235
0.3551 10.5833 508 1.1527 0.5564 1.1527 1.0736
0.3551 10.625 510 1.2021 0.5113 1.2021 1.0964

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
5
Safetensors
Model size
135M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k11_task1_organization

Finetuned
(4205)
this model