ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_task5_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: 1.3487
  • Qwk: 0.2372
  • Mse: 1.3487
  • Rmse: 1.1613

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 0.0556 2 4.2347 0.0178 4.2347 2.0578
No log 0.1111 4 2.3514 0.0462 2.3514 1.5334
No log 0.1667 6 1.8930 -0.0082 1.8930 1.3759
No log 0.2222 8 1.1959 0.1979 1.1959 1.0935
No log 0.2778 10 1.2496 0.0701 1.2496 1.1178
No log 0.3333 12 1.3892 -0.0296 1.3892 1.1787
No log 0.3889 14 1.3074 -0.0858 1.3074 1.1434
No log 0.4444 16 1.1922 0.0850 1.1922 1.0919
No log 0.5 18 1.1243 0.1881 1.1243 1.0603
No log 0.5556 20 1.1225 0.0604 1.1225 1.0595
No log 0.6111 22 1.1062 0.0445 1.1062 1.0517
No log 0.6667 24 1.0935 0.1076 1.0935 1.0457
No log 0.7222 26 1.0925 0.2365 1.0925 1.0452
No log 0.7778 28 1.1041 0.1997 1.1041 1.0508
No log 0.8333 30 1.1243 0.2100 1.1243 1.0603
No log 0.8889 32 1.1332 0.1805 1.1332 1.0645
No log 0.9444 34 1.0906 0.2366 1.0906 1.0443
No log 1.0 36 1.0628 0.1935 1.0628 1.0309
No log 1.0556 38 1.0671 0.1447 1.0671 1.0330
No log 1.1111 40 1.0835 0.0385 1.0835 1.0409
No log 1.1667 42 1.0947 0.0574 1.0947 1.0463
No log 1.2222 44 1.1340 0.0111 1.1340 1.0649
No log 1.2778 46 1.1528 0.0884 1.1528 1.0737
No log 1.3333 48 1.0994 0.1101 1.0994 1.0485
No log 1.3889 50 1.0905 0.0293 1.0905 1.0443
No log 1.4444 52 1.1743 0.0160 1.1743 1.0837
No log 1.5 54 1.1934 0.1770 1.1934 1.0924
No log 1.5556 56 1.2113 0.1770 1.2113 1.1006
No log 1.6111 58 1.3160 0.2395 1.3160 1.1472
No log 1.6667 60 1.4909 0.1892 1.4909 1.2210
No log 1.7222 62 1.4066 0.2863 1.4066 1.1860
No log 1.7778 64 1.2915 0.2915 1.2915 1.1365
No log 1.8333 66 1.5801 0.1871 1.5801 1.2570
No log 1.8889 68 1.9347 0.1487 1.9347 1.3909
No log 1.9444 70 1.8137 0.1559 1.8137 1.3467
No log 2.0 72 1.5147 0.2488 1.5147 1.2307
No log 2.0556 74 1.3057 0.3277 1.3057 1.1427
No log 2.1111 76 1.4478 0.2406 1.4478 1.2032
No log 2.1667 78 1.6012 0.2606 1.6012 1.2654
No log 2.2222 80 1.5243 0.2117 1.5243 1.2346
No log 2.2778 82 1.4949 0.0981 1.4949 1.2227
No log 2.3333 84 1.4649 0.0694 1.4649 1.2103
No log 2.3889 86 1.3064 0.1407 1.3064 1.1430
No log 2.4444 88 1.1106 0.1265 1.1106 1.0539
No log 2.5 90 1.0747 0.0987 1.0747 1.0367
No log 2.5556 92 1.2048 0.2065 1.2048 1.0976
No log 2.6111 94 1.5209 0.2391 1.5209 1.2332
No log 2.6667 96 1.6984 0.2317 1.6984 1.3032
No log 2.7222 98 1.7303 0.1871 1.7303 1.3154
No log 2.7778 100 1.7487 0.2007 1.7487 1.3224
No log 2.8333 102 1.6527 0.2338 1.6527 1.2856
No log 2.8889 104 1.7132 0.2007 1.7132 1.3089
No log 2.9444 106 1.6951 0.2007 1.6951 1.3020
No log 3.0 108 1.8916 0.1925 1.8916 1.3754
No log 3.0556 110 1.8488 0.1964 1.8488 1.3597
No log 3.1111 112 1.4253 0.2117 1.4253 1.1939
No log 3.1667 114 1.2688 0.2132 1.2688 1.1264
No log 3.2222 116 1.4534 0.2117 1.4534 1.2056
No log 3.2778 118 1.6752 0.2566 1.6752 1.2943
No log 3.3333 120 1.6257 0.2525 1.6257 1.2750
No log 3.3889 122 1.3507 0.1744 1.3507 1.1622
No log 3.4444 124 1.1826 0.0 1.1826 1.0875
No log 3.5 126 1.1363 0.0 1.1363 1.0660
No log 3.5556 128 1.2474 0.1407 1.2474 1.1169
No log 3.6111 130 1.5016 0.2221 1.5016 1.2254
No log 3.6667 132 1.6331 0.2644 1.6331 1.2779
No log 3.7222 134 1.8261 0.2236 1.8261 1.3513
No log 3.7778 136 1.7423 0.2296 1.7423 1.3200
No log 3.8333 138 1.4251 0.1892 1.4251 1.1938
No log 3.8889 140 1.2621 0.2184 1.2621 1.1234
No log 3.9444 142 1.3422 0.2239 1.3422 1.1585
No log 4.0 144 1.4341 0.2292 1.4341 1.1975
No log 4.0556 146 1.4563 0.1892 1.4563 1.2068
No log 4.1111 148 1.5529 0.1950 1.5529 1.2462
No log 4.1667 150 1.5806 0.2005 1.5806 1.2572
No log 4.2222 152 1.4631 0.1898 1.4631 1.2096
No log 4.2778 154 1.4616 0.2184 1.4616 1.2090
No log 4.3333 156 1.5825 0.2239 1.5825 1.2580
No log 4.3889 158 1.5634 0.2342 1.5634 1.2504
No log 4.4444 160 1.4506 0.1958 1.4506 1.2044
No log 4.5 162 1.4467 0.2239 1.4467 1.2028
No log 4.5556 164 1.4435 0.2239 1.4435 1.2014
No log 4.6111 166 1.6301 0.2110 1.6301 1.2767
No log 4.6667 168 1.8050 0.2007 1.8050 1.3435
No log 4.7222 170 1.7390 0.2053 1.7390 1.3187
No log 4.7778 172 1.7516 0.2419 1.7516 1.3235
No log 4.8333 174 1.7990 0.2494 1.7990 1.3413
No log 4.8889 176 2.0083 0.1659 2.0083 1.4171
No log 4.9444 178 2.0590 0.1442 2.0590 1.4349
No log 5.0 180 1.8508 0.2299 1.8508 1.3604
No log 5.0556 182 1.5828 0.2906 1.5828 1.2581
No log 5.1111 184 1.5032 0.2806 1.5032 1.2261
No log 5.1667 186 1.6476 0.2806 1.6476 1.2836
No log 5.2222 188 1.5634 0.2221 1.5634 1.2504
No log 5.2778 190 1.4202 0.1533 1.4202 1.1917
No log 5.3333 192 1.3054 0.1486 1.3054 1.1425
No log 5.3889 194 1.2772 0.1407 1.2772 1.1301
No log 5.4444 196 1.3302 0.1486 1.3302 1.1534
No log 5.5 198 1.5600 0.2170 1.5600 1.2490
No log 5.5556 200 1.8307 0.2565 1.8307 1.3530
No log 5.6111 202 1.9067 0.2182 1.9067 1.3808
No log 5.6667 204 1.7788 0.2784 1.7788 1.3337
No log 5.7222 206 1.5079 0.3177 1.5079 1.2279
No log 5.7778 208 1.4496 0.2974 1.4496 1.2040
No log 5.8333 210 1.6512 0.3123 1.6512 1.2850
No log 5.8889 212 1.6167 0.3066 1.6167 1.2715
No log 5.9444 214 1.3960 0.2568 1.3960 1.1815
No log 6.0 216 1.2670 0.2424 1.2670 1.1256
No log 6.0556 218 1.3238 0.2372 1.3238 1.1506
No log 6.1111 220 1.3819 0.2184 1.3819 1.1755
No log 6.1667 222 1.4127 0.2522 1.4127 1.1886
No log 6.2222 224 1.4762 0.2611 1.4762 1.2150
No log 6.2778 226 1.5727 0.3117 1.5727 1.2541
No log 6.3333 228 1.7969 0.2816 1.7969 1.3405
No log 6.3889 230 1.8976 0.1683 1.8976 1.3775
No log 6.4444 232 1.7619 0.2840 1.7619 1.3274
No log 6.5 234 1.4520 0.1407 1.4520 1.2050
No log 6.5556 236 1.2364 0.0 1.2364 1.1120
No log 6.6111 238 1.2030 0.0 1.2030 1.0968
No log 6.6667 240 1.2561 0.0 1.2561 1.1208
No log 6.7222 242 1.2407 0.0401 1.2407 1.1139
No log 6.7778 244 1.3411 0.2065 1.3411 1.1581
No log 6.8333 246 1.5314 0.2437 1.5314 1.2375
No log 6.8889 248 1.5747 0.2270 1.5747 1.2549
No log 6.9444 250 1.3968 0.2709 1.3968 1.1819
No log 7.0 252 1.2787 0.2446 1.2787 1.1308
No log 7.0556 254 1.2747 0.2389 1.2747 1.1290
No log 7.1111 256 1.4505 0.2869 1.4505 1.2044
No log 7.1667 258 1.7110 0.2906 1.7110 1.3080
No log 7.2222 260 1.7580 0.2681 1.7580 1.3259
No log 7.2778 262 1.6042 0.2566 1.6042 1.2666
No log 7.3333 264 1.4083 0.2239 1.4083 1.1867
No log 7.3889 266 1.3517 0.2126 1.3517 1.1626
No log 7.4444 268 1.3971 0.2292 1.3971 1.1820
No log 7.5 270 1.5144 0.2694 1.5144 1.2306
No log 7.5556 272 1.6875 0.2681 1.6875 1.2990
No log 7.6111 274 1.6672 0.2681 1.6672 1.2912
No log 7.6667 276 1.5153 0.2482 1.5153 1.2310
No log 7.7222 278 1.3947 0.2832 1.3947 1.1810
No log 7.7778 280 1.3999 0.2653 1.3999 1.1832
No log 7.8333 282 1.4498 0.2482 1.4498 1.2041
No log 7.8889 284 1.6547 0.3006 1.6547 1.2863
No log 7.9444 286 1.8794 0.1835 1.8794 1.3709
No log 8.0 288 1.9954 0.0981 1.9954 1.4126
No log 8.0556 290 1.9422 0.1305 1.9422 1.3936
No log 8.1111 292 1.7180 0.2527 1.7180 1.3107
No log 8.1667 294 1.5341 0.3018 1.5341 1.2386
No log 8.2222 296 1.3778 0.2474 1.3778 1.1738
No log 8.2778 298 1.3028 0.2424 1.3028 1.1414
No log 8.3333 300 1.3535 0.2752 1.3535 1.1634
No log 8.3889 302 1.4873 0.3018 1.4873 1.2195
No log 8.4444 304 1.6197 0.2681 1.6197 1.2727
No log 8.5 306 1.7190 0.2681 1.7190 1.3111
No log 8.5556 308 1.6524 0.2406 1.6524 1.2855
No log 8.6111 310 1.4767 0.2474 1.4767 1.2152
No log 8.6667 312 1.2868 0.2126 1.2868 1.1344
No log 8.7222 314 1.2230 0.0 1.2230 1.1059
No log 8.7778 316 1.2489 0.0 1.2489 1.1175
No log 8.8333 318 1.3301 0.1052 1.3301 1.1533
No log 8.8889 320 1.4181 0.2474 1.4181 1.1908
No log 8.9444 322 1.6022 0.2974 1.6022 1.2658
No log 9.0 324 1.8390 0.2967 1.8390 1.3561
No log 9.0556 326 1.9375 0.2598 1.9375 1.3920
No log 9.1111 328 1.8273 0.2636 1.8273 1.3518
No log 9.1667 330 1.6042 0.2869 1.6042 1.2666
No log 9.2222 332 1.3819 0.2065 1.3819 1.1755
No log 9.2778 334 1.2516 0.0401 1.2516 1.1188
No log 9.3333 336 1.1897 0.0 1.1897 1.0907
No log 9.3889 338 1.2135 0.0 1.2135 1.1016
No log 9.4444 340 1.2798 0.0 1.2798 1.1313
No log 9.5 342 1.3557 0.0781 1.3557 1.1643
No log 9.5556 344 1.4291 0.2474 1.4291 1.1955
No log 9.6111 346 1.5413 0.2906 1.5413 1.2415
No log 9.6667 348 1.7082 0.3095 1.7082 1.3070
No log 9.7222 350 1.8396 0.2996 1.8396 1.3563
No log 9.7778 352 1.7698 0.2996 1.7698 1.3303
No log 9.8333 354 1.6039 0.2681 1.6039 1.2665
No log 9.8889 356 1.5322 0.2363 1.5322 1.2378
No log 9.9444 358 1.5083 0.2653 1.5083 1.2281
No log 10.0 360 1.5742 0.3052 1.5742 1.2547
No log 10.0556 362 1.5679 0.2793 1.5679 1.2522
No log 10.1111 364 1.5263 0.2474 1.5263 1.2354
No log 10.1667 366 1.4548 0.2065 1.4548 1.2062
No log 10.2222 368 1.3862 0.0 1.3862 1.1774
No log 10.2778 370 1.4287 0.1744 1.4287 1.1953
No log 10.3333 372 1.5239 0.2474 1.5239 1.2345
No log 10.3889 374 1.5667 0.2869 1.5667 1.2517
No log 10.4444 376 1.5699 0.2733 1.5699 1.2530
No log 10.5 378 1.5059 0.2880 1.5059 1.2272
No log 10.5556 380 1.4103 0.2290 1.4103 1.1876
No log 10.6111 382 1.3641 0.2290 1.3641 1.1680
No log 10.6667 384 1.4641 0.2694 1.4641 1.2100
No log 10.7222 386 1.5213 0.2694 1.5213 1.2334
No log 10.7778 388 1.4905 0.2437 1.4905 1.2209
No log 10.8333 390 1.4015 0.2184 1.4015 1.1838
No log 10.8889 392 1.4003 0.2126 1.4003 1.1833
No log 10.9444 394 1.4633 0.2184 1.4633 1.2097
No log 11.0 396 1.4995 0.2184 1.4995 1.2245
No log 11.0556 398 1.6019 0.2568 1.6019 1.2657
No log 11.1111 400 1.6313 0.2611 1.6313 1.2772
No log 11.1667 402 1.5601 0.2292 1.5601 1.2490
No log 11.2222 404 1.4695 0.2184 1.4695 1.2122
No log 11.2778 406 1.4267 0.1744 1.4267 1.1945
No log 11.3333 408 1.4267 0.1744 1.4267 1.1944
No log 11.3889 410 1.4561 0.2065 1.4561 1.2067
No log 11.4444 412 1.4622 0.2065 1.4622 1.2092
No log 11.5 414 1.4977 0.2126 1.4977 1.2238
No log 11.5556 416 1.4822 0.2065 1.4822 1.2175
No log 11.6111 418 1.4133 0.1407 1.4133 1.1888
No log 11.6667 420 1.4018 0.0781 1.4018 1.1840
No log 11.7222 422 1.4189 0.0781 1.4189 1.1912
No log 11.7778 424 1.4320 0.1407 1.4320 1.1966
No log 11.8333 426 1.4152 0.1407 1.4152 1.1896
No log 11.8889 428 1.4729 0.2065 1.4729 1.2136
No log 11.9444 430 1.6033 0.2184 1.6033 1.2662
No log 12.0 432 1.6575 0.2474 1.6575 1.2874
No log 12.0556 434 1.6433 0.2522 1.6433 1.2819
No log 12.1111 436 1.5800 0.2065 1.5800 1.2570
No log 12.1667 438 1.4984 0.2065 1.4984 1.2241
No log 12.2222 440 1.4207 0.1744 1.4207 1.1920
No log 12.2778 442 1.4032 0.1407 1.4032 1.1846
No log 12.3333 444 1.3806 0.1407 1.3806 1.1750
No log 12.3889 446 1.4346 0.2065 1.4346 1.1978
No log 12.4444 448 1.4932 0.2424 1.4932 1.2220
No log 12.5 450 1.5766 0.2752 1.5766 1.2556
No log 12.5556 452 1.6869 0.3233 1.6869 1.2988
No log 12.6111 454 1.8263 0.2906 1.8263 1.3514
No log 12.6667 456 1.8431 0.2906 1.8431 1.3576
No log 12.7222 458 1.8703 0.2457 1.8703 1.3676
No log 12.7778 460 1.9067 0.1756 1.9067 1.3808
No log 12.8333 462 1.8448 0.2457 1.8448 1.3582
No log 12.8889 464 1.6890 0.3036 1.6890 1.2996
No log 12.9444 466 1.5310 0.2752 1.5310 1.2373
No log 13.0 468 1.4845 0.2474 1.4845 1.2184
No log 13.0556 470 1.4381 0.2474 1.4381 1.1992
No log 13.1111 472 1.4026 0.2474 1.4026 1.1843
No log 13.1667 474 1.3989 0.2474 1.3989 1.1828
No log 13.2222 476 1.2673 0.2184 1.2673 1.1257
No log 13.2778 478 1.2444 0.2184 1.2444 1.1155
No log 13.3333 480 1.2825 0.2184 1.2825 1.1325
No log 13.3889 482 1.3713 0.2184 1.3713 1.1710
No log 13.4444 484 1.4895 0.2126 1.4895 1.2204
No log 13.5 486 1.5630 0.2065 1.5630 1.2502
No log 13.5556 488 1.5557 0.1744 1.5557 1.2473
No log 13.6111 490 1.5091 0.1142 1.5091 1.2285
No log 13.6667 492 1.4152 0.0401 1.4152 1.1896
No log 13.7222 494 1.3889 0.0401 1.3889 1.1785
No log 13.7778 496 1.3835 0.0781 1.3835 1.1762
No log 13.8333 498 1.4242 0.2126 1.4242 1.1934
0.2543 13.8889 500 1.4848 0.2474 1.4848 1.2185
0.2543 13.9444 502 1.4536 0.2752 1.4536 1.2057
0.2543 14.0 504 1.3737 0.2474 1.3737 1.1720
0.2543 14.0556 506 1.3477 0.2474 1.3477 1.1609
0.2543 14.1111 508 1.3168 0.2474 1.3168 1.1475
0.2543 14.1667 510 1.3128 0.2372 1.3128 1.1458
0.2543 14.2222 512 1.3487 0.2372 1.3487 1.1613

Framework versions

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