ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_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: 1.3764
  • Qwk: 0.4593
  • Mse: 1.3764
  • Rmse: 1.1732

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 0.0286 2 6.8337 0.0242 6.8337 2.6141
No log 0.0571 4 4.4891 0.0928 4.4891 2.1187
No log 0.0857 6 3.6095 -0.0417 3.6095 1.8999
No log 0.1143 8 2.6066 0.0805 2.6066 1.6145
No log 0.1429 10 2.3240 0.0833 2.3240 1.5245
No log 0.1714 12 2.4556 0.0946 2.4556 1.5670
No log 0.2 14 2.0410 0.0960 2.0410 1.4286
No log 0.2286 16 1.8799 0.2931 1.8799 1.3711
No log 0.2571 18 1.7234 0.2957 1.7234 1.3128
No log 0.2857 20 1.5811 0.3036 1.5811 1.2574
No log 0.3143 22 1.4460 0.1869 1.4460 1.2025
No log 0.3429 24 1.5540 0.1321 1.5540 1.2466
No log 0.3714 26 1.4213 0.2222 1.4213 1.1922
No log 0.4 28 1.5136 0.3193 1.5136 1.2303
No log 0.4286 30 1.9478 0.2105 1.9478 1.3956
No log 0.4571 32 2.0764 0.2014 2.0764 1.4410
No log 0.4857 34 1.5700 0.3281 1.5700 1.2530
No log 0.5143 36 1.2381 0.3826 1.2381 1.1127
No log 0.5429 38 1.2643 0.3423 1.2643 1.1244
No log 0.5714 40 1.2574 0.4068 1.2574 1.1213
No log 0.6 42 1.2750 0.4298 1.2750 1.1291
No log 0.6286 44 1.6089 0.3220 1.6089 1.2684
No log 0.6571 46 1.6026 0.3636 1.6026 1.2659
No log 0.6857 48 1.0863 0.5156 1.0863 1.0423
No log 0.7143 50 0.9043 0.6809 0.9043 0.9509
No log 0.7429 52 1.0416 0.5538 1.0416 1.0206
No log 0.7714 54 1.5162 0.3200 1.5162 1.2313
No log 0.8 56 1.3478 0.4580 1.3478 1.1610
No log 0.8286 58 0.9924 0.6269 0.9924 0.9962
No log 0.8571 60 0.9594 0.6763 0.9594 0.9795
No log 0.8857 62 1.1393 0.5481 1.1393 1.0674
No log 0.9143 64 1.1885 0.5255 1.1885 1.0902
No log 0.9429 66 1.0726 0.6222 1.0726 1.0357
No log 0.9714 68 1.0284 0.5649 1.0284 1.0141
No log 1.0 70 1.0905 0.6324 1.0905 1.0443
No log 1.0286 72 1.0872 0.6131 1.0872 1.0427
No log 1.0571 74 1.1639 0.5493 1.1639 1.0788
No log 1.0857 76 1.4816 0.4965 1.4816 1.2172
No log 1.1143 78 1.4626 0.5143 1.4626 1.2094
No log 1.1429 80 1.4851 0.5180 1.4851 1.2186
No log 1.1714 82 1.3317 0.4889 1.3317 1.1540
No log 1.2 84 1.2976 0.4062 1.2976 1.1391
No log 1.2286 86 1.4304 0.4032 1.4304 1.1960
No log 1.2571 88 1.7350 0.3333 1.7350 1.3172
No log 1.2857 90 1.8839 0.2880 1.8839 1.3725
No log 1.3143 92 1.8076 0.2326 1.8076 1.3445
No log 1.3429 94 1.2636 0.5109 1.2636 1.1241
No log 1.3714 96 1.0193 0.5857 1.0193 1.0096
No log 1.4 98 1.2112 0.5674 1.2112 1.1005
No log 1.4286 100 1.5935 0.4113 1.5935 1.2623
No log 1.4571 102 1.3159 0.5217 1.3159 1.1471
No log 1.4857 104 0.8062 0.7050 0.8062 0.8979
No log 1.5143 106 0.7865 0.7391 0.7865 0.8869
No log 1.5429 108 0.9035 0.6418 0.9035 0.9505
No log 1.5714 110 1.2976 0.4964 1.2976 1.1391
No log 1.6 112 1.3322 0.4964 1.3322 1.1542
No log 1.6286 114 1.0269 0.6074 1.0269 1.0134
No log 1.6571 116 0.8800 0.6377 0.8800 0.9381
No log 1.6857 118 0.9260 0.6331 0.9260 0.9623
No log 1.7143 120 1.1650 0.5315 1.1650 1.0794
No log 1.7429 122 1.4832 0.4895 1.4832 1.2179
No log 1.7714 124 1.4908 0.4615 1.4908 1.2210
No log 1.8 126 1.4700 0.4476 1.4700 1.2124
No log 1.8286 128 1.2040 0.5468 1.2040 1.0972
No log 1.8571 130 1.0580 0.6615 1.0580 1.0286
No log 1.8857 132 1.0125 0.4959 1.0125 1.0062
No log 1.9143 134 1.0953 0.6299 1.0953 1.0466
No log 1.9429 136 1.3044 0.5075 1.3044 1.1421
No log 1.9714 138 1.4761 0.4265 1.4761 1.2150
No log 2.0 140 1.4946 0.4265 1.4946 1.2225
No log 2.0286 142 1.3233 0.5263 1.3233 1.1504
No log 2.0571 144 1.2769 0.5926 1.2769 1.1300
No log 2.0857 146 1.5574 0.3942 1.5574 1.2480
No log 2.1143 148 1.7650 0.2222 1.7650 1.3285
No log 2.1429 150 1.6343 0.3333 1.6343 1.2784
No log 2.1714 152 1.4845 0.3971 1.4845 1.2184
No log 2.2 154 1.2324 0.5152 1.2324 1.1101
No log 2.2286 156 1.0931 0.5938 1.0931 1.0455
No log 2.2571 158 1.0929 0.5645 1.0929 1.0454
No log 2.2857 160 1.2566 0.4812 1.2566 1.1210
No log 2.3143 162 1.2894 0.4812 1.2894 1.1355
No log 2.3429 164 1.2423 0.5075 1.2423 1.1146
No log 2.3714 166 1.1305 0.5758 1.1305 1.0633
No log 2.4 168 0.9736 0.6471 0.9736 0.9867
No log 2.4286 170 0.9289 0.6567 0.9289 0.9638
No log 2.4571 172 1.0946 0.6232 1.0946 1.0462
No log 2.4857 174 1.4287 0.4593 1.4287 1.1953
No log 2.5143 176 1.3580 0.4706 1.3580 1.1653
No log 2.5429 178 1.0219 0.6232 1.0219 1.0109
No log 2.5714 180 0.9143 0.6277 0.9143 0.9562
No log 2.6 182 0.9552 0.6232 0.9552 0.9773
No log 2.6286 184 1.0716 0.5857 1.0716 1.0352
No log 2.6571 186 0.9842 0.6232 0.9842 0.9921
No log 2.6857 188 0.8826 0.6471 0.8826 0.9395
No log 2.7143 190 1.0422 0.6176 1.0422 1.0209
No log 2.7429 192 1.2937 0.4889 1.2937 1.1374
No log 2.7714 194 1.3087 0.4889 1.3087 1.1440
No log 2.8 196 1.0811 0.6087 1.0811 1.0398
No log 2.8286 198 0.8948 0.6418 0.8948 0.9459
No log 2.8571 200 0.9906 0.6187 0.9906 0.9953
No log 2.8857 202 1.3906 0.4593 1.3906 1.1792
No log 2.9143 204 1.5787 0.3429 1.5787 1.2564
No log 2.9429 206 1.3830 0.4662 1.3830 1.1760
No log 2.9714 208 1.1465 0.5385 1.1465 1.0707
No log 3.0 210 1.0218 0.6129 1.0218 1.0108
No log 3.0286 212 1.0315 0.5246 1.0315 1.0156
No log 3.0571 214 1.1276 0.6032 1.1276 1.0619
No log 3.0857 216 1.4077 0.4320 1.4077 1.1865
No log 3.1143 218 1.5440 0.4531 1.5440 1.2426
No log 3.1429 220 1.5291 0.4531 1.5291 1.2365
No log 3.1714 222 1.3984 0.5039 1.3984 1.1825
No log 3.2 224 1.4500 0.4341 1.4500 1.2041
No log 3.2286 226 1.6216 0.2923 1.6216 1.2734
No log 3.2571 228 1.5246 0.3556 1.5246 1.2347
No log 3.2857 230 1.3671 0.4783 1.3671 1.1692
No log 3.3143 232 1.4404 0.4265 1.4404 1.2001
No log 3.3429 234 1.7448 0.2609 1.7448 1.3209
No log 3.3714 236 1.8269 0.2774 1.8269 1.3516
No log 3.4 238 1.5437 0.3582 1.5437 1.2425
No log 3.4286 240 1.2087 0.5191 1.2087 1.0994
No log 3.4571 242 1.0510 0.6212 1.0510 1.0252
No log 3.4857 244 1.0694 0.5954 1.0694 1.0341
No log 3.5143 246 1.2784 0.5263 1.2784 1.1307
No log 3.5429 248 1.4112 0.4925 1.4112 1.1879
No log 3.5714 250 1.5436 0.4058 1.5436 1.2424
No log 3.6 252 1.4830 0.4234 1.4830 1.2178
No log 3.6286 254 1.5739 0.3571 1.5739 1.2546
No log 3.6571 256 1.5217 0.4058 1.5217 1.2336
No log 3.6857 258 1.4990 0.4148 1.4990 1.2243
No log 3.7143 260 1.4782 0.4030 1.4782 1.2158
No log 3.7429 262 1.4390 0.4545 1.4390 1.1996
No log 3.7714 264 1.4553 0.4545 1.4553 1.2064
No log 3.8 266 1.3295 0.5191 1.3295 1.1531
No log 3.8286 268 1.2024 0.5564 1.2024 1.0965
No log 3.8571 270 1.1636 0.5735 1.1636 1.0787
No log 3.8857 272 1.2539 0.5 1.2539 1.1198
No log 3.9143 274 1.3901 0.4559 1.3901 1.1790
No log 3.9429 276 1.3526 0.4818 1.3526 1.1630
No log 3.9714 278 1.4592 0.4511 1.4592 1.2080
No log 4.0 280 1.8012 0.2774 1.8012 1.3421
No log 4.0286 282 2.0166 0.2014 2.0166 1.4201
No log 4.0571 284 1.7866 0.3066 1.7866 1.3366
No log 4.0857 286 1.3599 0.4627 1.3599 1.1662
No log 4.1143 288 1.0635 0.5865 1.0635 1.0313
No log 4.1429 290 1.0123 0.6119 1.0123 1.0061
No log 4.1714 292 1.1615 0.5693 1.1615 1.0777
No log 4.2 294 1.3948 0.4593 1.3948 1.1810
No log 4.2286 296 1.3104 0.4889 1.3104 1.1447
No log 4.2571 298 1.0651 0.5778 1.0651 1.0320
No log 4.2857 300 0.9699 0.6519 0.9699 0.9849
No log 4.3143 302 1.0309 0.6176 1.0309 1.0153
No log 4.3429 304 1.3110 0.4706 1.3110 1.1450
No log 4.3714 306 1.7069 0.3478 1.7069 1.3065
No log 4.4 308 1.7723 0.2899 1.7723 1.3313
No log 4.4286 310 1.5822 0.4088 1.5822 1.2578
No log 4.4571 312 1.3861 0.5 1.3861 1.1773
No log 4.4857 314 1.3641 0.5 1.3641 1.1679
No log 4.5143 316 1.4717 0.4203 1.4717 1.2131
No log 4.5429 318 1.6087 0.3768 1.6087 1.2683
No log 4.5714 320 1.6747 0.3453 1.6747 1.2941
No log 4.6 322 1.5752 0.3942 1.5752 1.2551
No log 4.6286 324 1.4327 0.4203 1.4327 1.1970
No log 4.6571 326 1.2610 0.5496 1.2610 1.1230
No log 4.6857 328 1.1840 0.5758 1.1840 1.0881
No log 4.7143 330 1.2157 0.5496 1.2157 1.1026
No log 4.7429 332 1.3424 0.5075 1.3424 1.1586
No log 4.7714 334 1.5371 0.3407 1.5371 1.2398
No log 4.8 336 1.6706 0.2878 1.6706 1.2925
No log 4.8286 338 1.6747 0.2714 1.6747 1.2941
No log 4.8571 340 1.5275 0.3731 1.5275 1.2359
No log 4.8857 342 1.3610 0.5414 1.3610 1.1666
No log 4.9143 344 1.3677 0.5075 1.3677 1.1695
No log 4.9429 346 1.4244 0.4889 1.4244 1.1935
No log 4.9714 348 1.4352 0.4380 1.4352 1.1980
No log 5.0 350 1.4374 0.4380 1.4374 1.1989
No log 5.0286 352 1.2030 0.5333 1.2030 1.0968
No log 5.0571 354 1.1369 0.5821 1.1369 1.0662
No log 5.0857 356 1.2578 0.5333 1.2578 1.1215
No log 5.1143 358 1.5682 0.3623 1.5682 1.2523
No log 5.1429 360 1.7093 0.3212 1.7093 1.3074
No log 5.1714 362 1.6142 0.3286 1.6142 1.2705
No log 5.2 364 1.4060 0.4706 1.4060 1.1858
No log 5.2286 366 1.2391 0.5414 1.2391 1.1131
No log 5.2571 368 1.1590 0.5426 1.1590 1.0766
No log 5.2857 370 1.1743 0.5426 1.1743 1.0837
No log 5.3143 372 1.1697 0.5692 1.1697 1.0815
No log 5.3429 374 1.2521 0.5714 1.2521 1.1190
No log 5.3714 376 1.4472 0.4706 1.4472 1.2030
No log 5.4 378 1.4903 0.4706 1.4903 1.2208
No log 5.4286 380 1.4069 0.4706 1.4069 1.1861
No log 5.4571 382 1.3369 0.5075 1.3369 1.1563
No log 5.4857 384 1.3297 0.5075 1.3297 1.1531
No log 5.5143 386 1.2427 0.5455 1.2427 1.1148
No log 5.5429 388 1.0827 0.5649 1.0827 1.0405
No log 5.5714 390 0.9922 0.5692 0.9922 0.9961
No log 5.6 392 0.9703 0.6015 0.9703 0.9851
No log 5.6286 394 1.0948 0.5821 1.0948 1.0463
No log 5.6571 396 1.3265 0.5147 1.3265 1.1517
No log 5.6857 398 1.3873 0.4889 1.3873 1.1778
No log 5.7143 400 1.2730 0.5373 1.2730 1.1283
No log 5.7429 402 1.2221 0.5481 1.2221 1.1055
No log 5.7714 404 1.1536 0.5649 1.1536 1.0741
No log 5.8 406 1.1435 0.6015 1.1435 1.0694
No log 5.8286 408 1.0895 0.6 1.0895 1.0438
No log 5.8571 410 1.1584 0.5891 1.1584 1.0763
No log 5.8857 412 1.2302 0.5846 1.2302 1.1091
No log 5.9143 414 1.2604 0.5606 1.2604 1.1227
No log 5.9429 416 1.2379 0.5714 1.2379 1.1126
No log 5.9714 418 1.0615 0.5649 1.0615 1.0303
No log 6.0 420 0.9040 0.6015 0.9040 0.9508
No log 6.0286 422 0.8775 0.5970 0.8775 0.9367
No log 6.0571 424 1.0238 0.5714 1.0238 1.0118
No log 6.0857 426 1.2761 0.4889 1.2761 1.1297
No log 6.1143 428 1.3554 0.5072 1.3554 1.1642
No log 6.1429 430 1.2540 0.4885 1.2540 1.1198
No log 6.1714 432 1.0339 0.5231 1.0339 1.0168
No log 6.2 434 0.9861 0.5736 0.9861 0.9930
No log 6.2286 436 1.1010 0.5385 1.1010 1.0493
No log 6.2571 438 1.2149 0.5455 1.2149 1.1022
No log 6.2857 440 1.3697 0.5077 1.3697 1.1703
No log 6.3143 442 1.3210 0.5970 1.3210 1.1494
No log 6.3429 444 1.2623 0.5985 1.2623 1.1235
No log 6.3714 446 1.2335 0.5821 1.2335 1.1106
No log 6.4 448 1.2572 0.5564 1.2572 1.1213
No log 6.4286 450 1.2073 0.5564 1.2073 1.0988
No log 6.4571 452 1.1963 0.5303 1.1963 1.0938
No log 6.4857 454 1.2310 0.5564 1.2310 1.1095
No log 6.5143 456 1.2620 0.5778 1.2620 1.1234
No log 6.5429 458 1.2205 0.5714 1.2205 1.1048
No log 6.5714 460 1.1813 0.5758 1.1813 1.0869
No log 6.6 462 1.1858 0.5758 1.1858 1.0890
No log 6.6286 464 1.2509 0.5758 1.2509 1.1184
No log 6.6571 466 1.3665 0.4593 1.3665 1.1690
No log 6.6857 468 1.3494 0.4706 1.3494 1.1616
No log 6.7143 470 1.3706 0.4818 1.3706 1.1707
No log 6.7429 472 1.2916 0.5072 1.2916 1.1365
No log 6.7714 474 1.1484 0.5985 1.1484 1.0716
No log 6.8 476 1.1952 0.5985 1.1952 1.0932
No log 6.8286 478 1.2637 0.5441 1.2637 1.1241
No log 6.8571 480 1.2950 0.5441 1.2950 1.1380
No log 6.8857 482 1.2568 0.5778 1.2568 1.1211
No log 6.9143 484 1.2612 0.5778 1.2612 1.1230
No log 6.9429 486 1.1672 0.5821 1.1672 1.0804
No log 6.9714 488 1.1548 0.5649 1.1548 1.0746
No log 7.0 490 1.2945 0.5522 1.2945 1.1378
No log 7.0286 492 1.4219 0.4812 1.4219 1.1924
No log 7.0571 494 1.3554 0.5152 1.3554 1.1642
No log 7.0857 496 1.2111 0.5197 1.2111 1.1005
No log 7.1143 498 1.2144 0.4793 1.2144 1.1020
0.3532 7.1429 500 1.2226 0.5323 1.2226 1.1057
0.3532 7.1714 502 1.2471 0.5385 1.2471 1.1167
0.3532 7.2 504 1.3811 0.4925 1.3811 1.1752
0.3532 7.2286 506 1.4908 0.3971 1.4908 1.2210
0.3532 7.2571 508 1.4098 0.5 1.4098 1.1874
0.3532 7.2857 510 1.3510 0.5 1.3510 1.1623
0.3532 7.3143 512 1.3337 0.5373 1.3337 1.1549
0.3532 7.3429 514 1.2646 0.5649 1.2646 1.1245
0.3532 7.3714 516 1.2132 0.5938 1.2132 1.1015
0.3532 7.4 518 1.2061 0.5938 1.2061 1.0982
0.3532 7.4286 520 1.2082 0.5649 1.2082 1.0992
0.3532 7.4571 522 1.2063 0.5649 1.2063 1.0983
0.3532 7.4857 524 1.2944 0.5373 1.2944 1.1377
0.3532 7.5143 526 1.3583 0.4672 1.3583 1.1654
0.3532 7.5429 528 1.3764 0.4783 1.3764 1.1732
0.3532 7.5714 530 1.4234 0.4853 1.4234 1.1931
0.3532 7.6 532 1.5196 0.4234 1.5196 1.2327
0.3532 7.6286 534 1.3764 0.4593 1.3764 1.1732

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
4
Safetensors
Model size
135M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization

Finetuned
(4222)
this model