ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_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: 1.5741
  • Qwk: 0.3788
  • Mse: 1.5741
  • Rmse: 1.2547

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 0.0308 2 6.9911 -0.0056 6.9911 2.6441
No log 0.0615 4 4.7930 0.0658 4.7930 2.1893
No log 0.0923 6 4.0571 -0.0909 4.0571 2.0142
No log 0.1231 8 3.4218 0.0 3.4218 1.8498
No log 0.1538 10 3.1457 0.0252 3.1457 1.7736
No log 0.1846 12 2.5924 0.0403 2.5924 1.6101
No log 0.2154 14 2.0710 0.1955 2.0710 1.4391
No log 0.2462 16 1.8630 0.2264 1.8630 1.3649
No log 0.2769 18 1.7311 0.1538 1.7311 1.3157
No log 0.3077 20 1.7061 0.1165 1.7061 1.3062
No log 0.3385 22 1.6818 0.0784 1.6818 1.2968
No log 0.3692 24 1.5408 0.1165 1.5408 1.2413
No log 0.4 26 1.5833 0.1869 1.5833 1.2583
No log 0.4308 28 1.8492 0.368 1.8492 1.3598
No log 0.4615 30 2.0388 0.1805 2.0388 1.4279
No log 0.4923 32 2.0000 0.2290 2.0000 1.4142
No log 0.5231 34 1.8978 0.3651 1.8978 1.3776
No log 0.5538 36 1.6787 0.2807 1.6787 1.2956
No log 0.5846 38 1.6294 0.1887 1.6294 1.2765
No log 0.6154 40 1.6900 0.1165 1.6900 1.3000
No log 0.6462 42 1.5791 0.1165 1.5791 1.2566
No log 0.6769 44 1.5170 0.1524 1.5170 1.2317
No log 0.7077 46 1.5106 0.2982 1.5106 1.2291
No log 0.7385 48 1.5894 0.3361 1.5894 1.2607
No log 0.7692 50 1.6045 0.3167 1.6045 1.2667
No log 0.8 52 1.4928 0.1869 1.4928 1.2218
No log 0.8308 54 1.6439 0.0784 1.6439 1.2821
No log 0.8615 56 1.8296 0.1308 1.8296 1.3526
No log 0.8923 58 1.8437 0.1667 1.8437 1.3578
No log 0.9231 60 1.6771 0.2832 1.6771 1.2950
No log 0.9538 62 1.7865 0.3053 1.7865 1.3366
No log 0.9846 64 2.3387 0.2158 2.3387 1.5293
No log 1.0154 66 2.3813 0.1702 2.3813 1.5431
No log 1.0462 68 2.0785 0.2941 2.0785 1.4417
No log 1.0769 70 1.7083 0.3231 1.7083 1.3070
No log 1.1077 72 1.4835 0.2832 1.4835 1.2180
No log 1.1385 74 1.4220 0.2222 1.4220 1.1925
No log 1.1692 76 1.3939 0.2727 1.3939 1.1806
No log 1.2 78 1.4066 0.3509 1.4066 1.1860
No log 1.2308 80 1.5278 0.2857 1.5278 1.2361
No log 1.2615 82 1.5005 0.2564 1.5005 1.2250
No log 1.2923 84 1.4522 0.3761 1.4522 1.2051
No log 1.3231 86 1.4722 0.3729 1.4722 1.2134
No log 1.3538 88 1.4620 0.3729 1.4620 1.2091
No log 1.3846 90 1.4697 0.3761 1.4697 1.2123
No log 1.4154 92 1.4973 0.3220 1.4973 1.2236
No log 1.4462 94 1.5718 0.3000 1.5718 1.2537
No log 1.4769 96 1.5046 0.3471 1.5046 1.2266
No log 1.5077 98 1.3251 0.4 1.3251 1.1511
No log 1.5385 100 1.3286 0.2569 1.3286 1.1526
No log 1.5692 102 1.3279 0.3243 1.3279 1.1523
No log 1.6 104 1.3321 0.4138 1.3321 1.1542
No log 1.6308 106 1.3439 0.3363 1.3439 1.1593
No log 1.6615 108 1.3673 0.3243 1.3673 1.1693
No log 1.6923 110 1.4063 0.4068 1.4063 1.1859
No log 1.7231 112 1.5329 0.3158 1.5329 1.2381
No log 1.7538 114 1.6158 0.3802 1.6158 1.2712
No log 1.7846 116 1.6928 0.3306 1.6928 1.3011
No log 1.8154 118 1.6960 0.3306 1.6960 1.3023
No log 1.8462 120 1.8008 0.1681 1.8008 1.3420
No log 1.8769 122 1.9398 0.2812 1.9398 1.3928
No log 1.9077 124 1.8474 0.2791 1.8474 1.3592
No log 1.9385 126 1.7306 0.3622 1.7306 1.3155
No log 1.9692 128 1.4642 0.4132 1.4642 1.2100
No log 2.0 130 1.4595 0.3802 1.4595 1.2081
No log 2.0308 132 1.5279 0.3871 1.5279 1.2361
No log 2.0615 134 1.5417 0.3810 1.5417 1.2417
No log 2.0923 136 1.5469 0.352 1.5469 1.2438
No log 2.1231 138 1.5338 0.352 1.5338 1.2385
No log 2.1538 140 1.4579 0.3934 1.4579 1.2074
No log 2.1846 142 1.3569 0.4274 1.3569 1.1648
No log 2.2154 144 1.3401 0.3967 1.3401 1.1576
No log 2.2462 146 1.3806 0.3967 1.3806 1.1750
No log 2.2769 148 1.4314 0.3577 1.4314 1.1964
No log 2.3077 150 1.4840 0.3360 1.4840 1.2182
No log 2.3385 152 1.6146 0.352 1.6146 1.2707
No log 2.3692 154 1.7382 0.3175 1.7382 1.3184
No log 2.4 156 1.8406 0.2443 1.8406 1.3567
No log 2.4308 158 1.9044 0.2222 1.9044 1.3800
No log 2.4615 160 2.1044 0.1818 2.1044 1.4507
No log 2.4923 162 2.1041 0.1818 2.1041 1.4506
No log 2.5231 164 1.9128 0.2667 1.9128 1.3830
No log 2.5538 166 1.7024 0.3125 1.7024 1.3047
No log 2.5846 168 1.5860 0.3150 1.5860 1.2594
No log 2.6154 170 1.4725 0.3387 1.4725 1.2135
No log 2.6462 172 1.4006 0.3607 1.4006 1.1835
No log 2.6769 174 1.3883 0.4426 1.3883 1.1783
No log 2.7077 176 1.4108 0.4640 1.4108 1.1878
No log 2.7385 178 1.4418 0.3780 1.4418 1.2008
No log 2.7692 180 1.5324 0.3906 1.5324 1.2379
No log 2.8 182 1.6690 0.3359 1.6690 1.2919
No log 2.8308 184 1.7381 0.2815 1.7381 1.3184
No log 2.8615 186 1.7148 0.2815 1.7148 1.3095
No log 2.8923 188 1.6594 0.3030 1.6594 1.2882
No log 2.9231 190 1.6051 0.3256 1.6051 1.2669
No log 2.9538 192 1.4945 0.3967 1.4945 1.2225
No log 2.9846 194 1.4305 0.3636 1.4305 1.1960
No log 3.0154 196 1.4759 0.3802 1.4759 1.2148
No log 3.0462 198 1.6006 0.3438 1.6006 1.2651
No log 3.0769 200 1.7457 0.3433 1.7457 1.3213
No log 3.1077 202 1.7653 0.3066 1.7653 1.3286
No log 3.1385 204 1.6989 0.3759 1.6989 1.3034
No log 3.1692 206 1.6708 0.4 1.6708 1.2926
No log 3.2 208 1.7169 0.3759 1.7169 1.3103
No log 3.2308 210 1.6566 0.3817 1.6566 1.2871
No log 3.2615 212 1.5242 0.3906 1.5242 1.2346
No log 3.2923 214 1.3672 0.3937 1.3672 1.1693
No log 3.3231 216 1.3967 0.3968 1.3967 1.1818
No log 3.3538 218 1.4738 0.4154 1.4738 1.2140
No log 3.3846 220 1.5198 0.4462 1.5198 1.2328
No log 3.4154 222 1.6126 0.3817 1.6126 1.2699
No log 3.4462 224 1.7914 0.3165 1.7914 1.3384
No log 3.4769 226 2.0029 0.2098 2.0029 1.4152
No log 3.5077 228 2.0235 0.2098 2.0235 1.4225
No log 3.5385 230 1.8568 0.2667 1.8568 1.3627
No log 3.5692 232 1.7622 0.3125 1.7622 1.3275
No log 3.6 234 1.7527 0.3125 1.7527 1.3239
No log 3.6308 236 1.7391 0.2946 1.7391 1.3187
No log 3.6615 238 1.7297 0.3053 1.7297 1.3152
No log 3.6923 240 1.7475 0.2901 1.7475 1.3219
No log 3.7231 242 1.6894 0.2791 1.6894 1.2998
No log 3.7538 244 1.5758 0.3307 1.5758 1.2553
No log 3.7846 246 1.5699 0.3125 1.5699 1.2530
No log 3.8154 248 1.5404 0.3125 1.5404 1.2411
No log 3.8462 250 1.5002 0.3968 1.5002 1.2248
No log 3.8769 252 1.5487 0.3721 1.5487 1.2445
No log 3.9077 254 1.6082 0.3788 1.6082 1.2681
No log 3.9385 256 1.5981 0.3664 1.5981 1.2642
No log 3.9692 258 1.5500 0.4 1.5500 1.2450
No log 4.0 260 1.5687 0.3817 1.5687 1.2525
No log 4.0308 262 1.6276 0.3609 1.6276 1.2758
No log 4.0615 264 1.7296 0.2941 1.7296 1.3152
No log 4.0923 266 1.7251 0.2941 1.7251 1.3134
No log 4.1231 268 1.5813 0.3692 1.5813 1.2575
No log 4.1538 270 1.4818 0.4286 1.4818 1.2173
No log 4.1846 272 1.4302 0.4194 1.4302 1.1959
No log 4.2154 274 1.4080 0.4793 1.4080 1.1866
No log 4.2462 276 1.4195 0.4793 1.4195 1.1914
No log 4.2769 278 1.4908 0.4426 1.4908 1.2210
No log 4.3077 280 1.5737 0.4194 1.5737 1.2545
No log 4.3385 282 1.6990 0.3582 1.6990 1.3034
No log 4.3692 284 1.7458 0.3235 1.7458 1.3213
No log 4.4 286 1.6521 0.3308 1.6521 1.2854
No log 4.4308 288 1.6324 0.375 1.6324 1.2777
No log 4.4615 290 1.7254 0.3111 1.7254 1.3135
No log 4.4923 292 1.8048 0.2628 1.8048 1.3434
No log 4.5231 294 1.8557 0.2319 1.8557 1.3622
No log 4.5538 296 1.8748 0.2290 1.8748 1.3692
No log 4.5846 298 1.8964 0.1985 1.8964 1.3771
No log 4.6154 300 1.8797 0.1985 1.8797 1.3710
No log 4.6462 302 1.7169 0.2667 1.7169 1.3103
No log 4.6769 304 1.6016 0.3077 1.6016 1.2655
No log 4.7077 306 1.6141 0.35 1.6141 1.2705
No log 4.7385 308 1.6300 0.3415 1.6300 1.2767
No log 4.7692 310 1.5735 0.3667 1.5735 1.2544
No log 4.8 312 1.5265 0.4138 1.5265 1.2355
No log 4.8308 314 1.5390 0.3667 1.5390 1.2406
No log 4.8615 316 1.6332 0.352 1.6332 1.2780
No log 4.8923 318 1.7343 0.2707 1.7343 1.3169
No log 4.9231 320 1.7802 0.2687 1.7802 1.3342
No log 4.9538 322 1.7205 0.3134 1.7205 1.3117
No log 4.9846 324 1.6250 0.3333 1.6250 1.2748
No log 5.0154 326 1.5661 0.4062 1.5661 1.2515
No log 5.0462 328 1.5937 0.3846 1.5937 1.2624
No log 5.0769 330 1.6811 0.3664 1.6811 1.2966
No log 5.1077 332 1.6844 0.3846 1.6844 1.2978
No log 5.1385 334 1.6312 0.4031 1.6312 1.2772
No log 5.1692 336 1.6330 0.4031 1.6330 1.2779
No log 5.2 338 1.6358 0.4219 1.6358 1.2790
No log 5.2308 340 1.5870 0.384 1.5870 1.2597
No log 5.2615 342 1.5429 0.3934 1.5429 1.2421
No log 5.2923 344 1.5894 0.3740 1.5894 1.2607
No log 5.3231 346 1.5437 0.3740 1.5437 1.2425
No log 5.3538 348 1.4280 0.3559 1.4280 1.1950
No log 5.3846 350 1.4250 0.3898 1.4250 1.1938
No log 5.4154 352 1.4029 0.4167 1.4029 1.1844
No log 5.4462 354 1.4140 0.4298 1.4140 1.1891
No log 5.4769 356 1.4874 0.3906 1.4874 1.2196
No log 5.5077 358 1.5640 0.3910 1.5640 1.2506
No log 5.5385 360 1.6572 0.3582 1.6572 1.2873
No log 5.5692 362 1.5749 0.3817 1.5749 1.2549
No log 5.6 364 1.4435 0.4341 1.4435 1.2014
No log 5.6308 366 1.3996 0.4531 1.3996 1.1831
No log 5.6615 368 1.4523 0.4341 1.4523 1.2051
No log 5.6923 370 1.4869 0.4094 1.4869 1.2194
No log 5.7231 372 1.5254 0.3902 1.5254 1.2351
No log 5.7538 374 1.5170 0.3902 1.5170 1.2317
No log 5.7846 376 1.4903 0.3902 1.4903 1.2208
No log 5.8154 378 1.4185 0.4194 1.4185 1.1910
No log 5.8462 380 1.4053 0.4219 1.4053 1.1854
No log 5.8769 382 1.4021 0.4219 1.4021 1.1841
No log 5.9077 384 1.4914 0.4031 1.4914 1.2212
No log 5.9385 386 1.5838 0.3969 1.5838 1.2585
No log 5.9692 388 1.7536 0.3088 1.7536 1.3242
No log 6.0 390 1.8481 0.2590 1.8481 1.3594
No log 6.0308 392 1.8660 0.2714 1.8660 1.3660
No log 6.0615 394 1.7275 0.3504 1.7275 1.3143
No log 6.0923 396 1.6325 0.3529 1.6325 1.2777
No log 6.1231 398 1.5969 0.3556 1.5969 1.2637
No log 6.1538 400 1.6810 0.3529 1.6810 1.2965
No log 6.1846 402 1.6968 0.3043 1.6968 1.3026
No log 6.2154 404 1.5909 0.3556 1.5909 1.2613
No log 6.2462 406 1.4998 0.3609 1.4998 1.2247
No log 6.2769 408 1.4199 0.4062 1.4199 1.1916
No log 6.3077 410 1.4122 0.4062 1.4122 1.1883
No log 6.3385 412 1.4675 0.4154 1.4675 1.2114
No log 6.3692 414 1.4466 0.4031 1.4466 1.2028
No log 6.4 416 1.4094 0.4094 1.4094 1.1872
No log 6.4308 418 1.3921 0.4094 1.3921 1.1799
No log 6.4615 420 1.4500 0.4031 1.4500 1.2042
No log 6.4923 422 1.4172 0.4062 1.4172 1.1904
No log 6.5231 424 1.4554 0.4031 1.4554 1.2064
No log 6.5538 426 1.5018 0.4154 1.5018 1.2255
No log 6.5846 428 1.5963 0.3582 1.5963 1.2634
No log 6.6154 430 1.7532 0.2609 1.7532 1.3241
No log 6.6462 432 1.7010 0.2963 1.7010 1.3042
No log 6.6769 434 1.5723 0.3937 1.5723 1.2539
No log 6.7077 436 1.4813 0.3740 1.4813 1.2171
No log 6.7385 438 1.4991 0.4320 1.4991 1.2244
No log 6.7692 440 1.4721 0.4341 1.4721 1.2133
No log 6.8 442 1.4419 0.4062 1.4419 1.2008
No log 6.8308 444 1.4768 0.4186 1.4768 1.2152
No log 6.8615 446 1.5451 0.3721 1.5451 1.2430
No log 6.8923 448 1.5596 0.3721 1.5596 1.2488
No log 6.9231 450 1.5615 0.3721 1.5615 1.2496
No log 6.9538 452 1.5605 0.3636 1.5605 1.2492
No log 6.9846 454 1.4138 0.4062 1.4138 1.1890
No log 7.0154 456 1.2790 0.4793 1.2790 1.1309
No log 7.0462 458 1.2154 0.4754 1.2154 1.1025
No log 7.0769 460 1.2047 0.4715 1.2047 1.0976
No log 7.1077 462 1.2137 0.4754 1.2137 1.1017
No log 7.1385 464 1.2646 0.4878 1.2646 1.1245
No log 7.1692 466 1.4225 0.4219 1.4225 1.1927
No log 7.2 468 1.5033 0.3969 1.5033 1.2261
No log 7.2308 470 1.5749 0.3852 1.5749 1.2549
No log 7.2615 472 1.5078 0.3881 1.5078 1.2279
No log 7.2923 474 1.4485 0.4 1.4485 1.2035
No log 7.3231 476 1.4149 0.4375 1.4149 1.1895
No log 7.3538 478 1.3956 0.4444 1.3956 1.1813
No log 7.3846 480 1.5052 0.4154 1.5052 1.2268
No log 7.4154 482 1.6318 0.3259 1.6318 1.2774
No log 7.4462 484 1.6776 0.3529 1.6776 1.2952
No log 7.4769 486 1.5558 0.3910 1.5558 1.2473
No log 7.5077 488 1.3596 0.4762 1.3596 1.1660
No log 7.5385 490 1.3051 0.48 1.3051 1.1424
No log 7.5692 492 1.3225 0.4921 1.3225 1.1500
No log 7.6 494 1.4178 0.4122 1.4178 1.1907
No log 7.6308 496 1.4638 0.3939 1.4638 1.2099
No log 7.6615 498 1.4677 0.3939 1.4677 1.2115
0.4518 7.6923 500 1.4133 0.4308 1.4133 1.1888
0.4518 7.7231 502 1.4320 0.4496 1.4320 1.1967
0.4518 7.7538 504 1.4661 0.4496 1.4661 1.2108
0.4518 7.7846 506 1.4850 0.4496 1.4850 1.2186
0.4518 7.8154 508 1.5311 0.4308 1.5311 1.2374
0.4518 7.8462 510 1.6088 0.4060 1.6088 1.2684
0.4518 7.8769 512 1.6423 0.3852 1.6423 1.2815
0.4518 7.9077 514 1.6495 0.3731 1.6495 1.2843
0.4518 7.9385 516 1.5741 0.3788 1.5741 1.2547

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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