ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_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: 1.4338
  • Qwk: 0.1407
  • Mse: 1.4338
  • Rmse: 1.1974

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 1.6528 0.2338 1.6528 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 1.4535 0.2117 1.4535 1.2056
No log 3.2778 118 1.6753 0.2566 1.6753 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 1.2473 0.1407 1.2473 1.1168
No log 3.6111 130 1.5015 0.2221 1.5015 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 1.7425 0.2296 1.7425 1.3200
No log 3.8333 138 1.4253 0.1892 1.4253 1.1939
No log 3.8889 140 1.2619 0.2184 1.2619 1.1233
No log 3.9444 142 1.3420 0.2239 1.3420 1.1584
No log 4.0 144 1.4342 0.2292 1.4342 1.1976
No log 4.0556 146 1.4565 0.1892 1.4565 1.2069
No log 4.1111 148 1.5531 0.1950 1.5531 1.2462
No log 4.1667 150 1.5806 0.2005 1.5806 1.2572
No log 4.2222 152 1.4628 0.1898 1.4628 1.2095
No log 4.2778 154 1.4614 0.2184 1.4614 1.2089
No log 4.3333 156 1.5824 0.2239 1.5824 1.2579
No log 4.3889 158 1.5636 0.2342 1.5636 1.2505
No log 4.4444 160 1.4505 0.1958 1.4505 1.2044
No log 4.5 162 1.4458 0.2239 1.4458 1.2024
No log 4.5556 164 1.4421 0.2239 1.4421 1.2009
No log 4.6111 166 1.6281 0.2110 1.6281 1.2760
No log 4.6667 168 1.8027 0.2007 1.8027 1.3427
No log 4.7222 170 1.7373 0.2053 1.7373 1.3181
No log 4.7778 172 1.7492 0.2419 1.7492 1.3226
No log 4.8333 174 1.7968 0.2494 1.7968 1.3404
No log 4.8889 176 2.0079 0.1659 2.0079 1.4170
No log 4.9444 178 2.0598 0.1442 2.0598 1.4352
No log 5.0 180 1.8513 0.2299 1.8513 1.3606
No log 5.0556 182 1.5844 0.2906 1.5844 1.2587
No log 5.1111 184 1.5016 0.2806 1.5016 1.2254
No log 5.1667 186 1.6439 0.2806 1.6439 1.2822
No log 5.2222 188 1.5594 0.2221 1.5594 1.2488
No log 5.2778 190 1.4173 0.1703 1.4173 1.1905
No log 5.3333 192 1.3046 0.1486 1.3046 1.1422
No log 5.3889 194 1.2783 0.1407 1.2783 1.1306
No log 5.4444 196 1.3306 0.1486 1.3306 1.1535
No log 5.5 198 1.5593 0.2170 1.5593 1.2487
No log 5.5556 200 1.8312 0.2565 1.8312 1.3532
No log 5.6111 202 1.9089 0.2393 1.9089 1.3816
No log 5.6667 204 1.7819 0.2784 1.7819 1.3349
No log 5.7222 206 1.5077 0.3177 1.5077 1.2279
No log 5.7778 208 1.4461 0.2974 1.4461 1.2025
No log 5.8333 210 1.6450 0.3123 1.6450 1.2826
No log 5.8889 212 1.6084 0.3066 1.6084 1.2682
No log 5.9444 214 1.3897 0.2568 1.3897 1.1789
No log 6.0 216 1.2638 0.2372 1.2638 1.1242
No log 6.0556 218 1.3236 0.2372 1.3236 1.1505
No log 6.1111 220 1.3813 0.2184 1.3813 1.1753
No log 6.1667 222 1.4092 0.2522 1.4092 1.1871
No log 6.2222 224 1.4686 0.2611 1.4686 1.2119
No log 6.2778 226 1.5736 0.3117 1.5736 1.2544
No log 6.3333 228 1.8111 0.2670 1.8111 1.3458
No log 6.3889 230 1.9114 0.1683 1.9114 1.3825
No log 6.4444 232 1.7806 0.2840 1.7806 1.3344
No log 6.5 234 1.4746 0.1814 1.4746 1.2143
No log 6.5556 236 1.2489 0.0 1.2489 1.1176
No log 6.6111 238 1.1995 0.0 1.1995 1.0952
No log 6.6667 240 1.2345 0.0 1.2345 1.1111
No log 6.7222 242 1.2150 0.0 1.2150 1.1023
No log 6.7778 244 1.3135 0.2065 1.3135 1.1461
No log 6.8333 246 1.5091 0.2117 1.5091 1.2284
No log 6.8889 248 1.5654 0.2270 1.5654 1.2512
No log 6.9444 250 1.3947 0.2709 1.3947 1.1810
No log 7.0 252 1.2791 0.2495 1.2791 1.1310
No log 7.0556 254 1.2384 0.2389 1.2384 1.1128
No log 7.1111 256 1.3840 0.2869 1.3840 1.1764
No log 7.1667 258 1.6584 0.2874 1.6584 1.2878
No log 7.2222 260 1.7382 0.2906 1.7382 1.3184
No log 7.2778 262 1.5983 0.2644 1.5983 1.2642
No log 7.3333 264 1.4023 0.2239 1.4023 1.1842
No log 7.3889 266 1.3412 0.2424 1.3412 1.1581
No log 7.4444 268 1.3747 0.2424 1.3747 1.1725
No log 7.5 270 1.4738 0.2611 1.4738 1.2140
No log 7.5556 272 1.6279 0.2644 1.6279 1.2759
No log 7.6111 274 1.6068 0.2770 1.6068 1.2676
No log 7.6667 276 1.4648 0.2482 1.4648 1.2103
No log 7.7222 278 1.3638 0.2793 1.3638 1.1678
No log 7.7778 280 1.3899 0.2653 1.3899 1.1789
No log 7.8333 282 1.4576 0.2525 1.4576 1.2073
No log 7.8889 284 1.7008 0.3036 1.7008 1.3042
No log 7.9444 286 1.9389 0.1420 1.9389 1.3924
No log 8.0 288 2.0394 0.0981 2.0394 1.4281
No log 8.0556 290 1.9639 0.1252 1.9639 1.4014
No log 8.1111 292 1.7180 0.2527 1.7180 1.3107
No log 8.1667 294 1.5325 0.2752 1.5325 1.2379
No log 8.2222 296 1.3887 0.1880 1.3887 1.1784
No log 8.2778 298 1.2904 0.2424 1.2904 1.1359
No log 8.3333 300 1.3053 0.2424 1.3053 1.1425
No log 8.3889 302 1.4056 0.3018 1.4056 1.1856
No log 8.4444 304 1.5655 0.2974 1.5655 1.2512
No log 8.5 306 1.7234 0.2784 1.7234 1.3128
No log 8.5556 308 1.6934 0.3259 1.6934 1.3013
No log 8.6111 310 1.4712 0.2940 1.4712 1.2129
No log 8.6667 312 1.2270 0.2424 1.2270 1.1077
No log 8.7222 314 1.1237 0.1449 1.1237 1.0601
No log 8.7778 316 1.1308 0.0781 1.1308 1.0634
No log 8.8333 318 1.2158 0.1814 1.2158 1.1026
No log 8.8889 320 1.3418 0.2474 1.3417 1.1583
No log 8.9444 322 1.5461 0.2733 1.5461 1.2434
No log 9.0 324 1.7828 0.2670 1.7828 1.3352
No log 9.0556 326 1.9138 0.2222 1.9138 1.3834
No log 9.1111 328 1.8038 0.2098 1.8038 1.3430
No log 9.1667 330 1.5777 0.2437 1.5777 1.2561
No log 9.2222 332 1.4269 0.2065 1.4269 1.1945
No log 9.2778 334 1.3409 0.1407 1.3409 1.1580
No log 9.3333 336 1.3035 0.1052 1.3035 1.1417
No log 9.3889 338 1.3304 0.0401 1.3304 1.1534
No log 9.4444 340 1.3333 0.0401 1.3333 1.1547
No log 9.5 342 1.3511 0.1052 1.3511 1.1624
No log 9.5556 344 1.3450 0.1814 1.3450 1.1597
No log 9.6111 346 1.3515 0.2184 1.3515 1.1625
No log 9.6667 348 1.5354 0.2653 1.5354 1.2391
No log 9.7222 350 1.7959 0.2717 1.7959 1.3401
No log 9.7778 352 1.8505 0.2816 1.8505 1.3603
No log 9.8333 354 1.7686 0.3284 1.7686 1.3299
No log 9.8889 356 1.7566 0.3309 1.7566 1.3254
No log 9.9444 358 1.7083 0.2974 1.7083 1.3070
No log 10.0 360 1.5910 0.2126 1.5910 1.2613
No log 10.0556 362 1.4215 0.1052 1.4215 1.1923
No log 10.1111 364 1.3287 0.0 1.3287 1.1527
No log 10.1667 366 1.3199 0.0 1.3199 1.1489
No log 10.2222 368 1.3901 0.1052 1.3901 1.1790
No log 10.2778 370 1.5663 0.2184 1.5663 1.2515
No log 10.3333 372 1.7267 0.2363 1.7267 1.3140
No log 10.3889 374 1.7065 0.2270 1.7065 1.3063
No log 10.4444 376 1.5726 0.2568 1.5726 1.2540
No log 10.5 378 1.4141 0.1562 1.4141 1.1892
No log 10.5556 380 1.3266 0.1052 1.3266 1.1518
No log 10.6111 382 1.3091 0.0679 1.3091 1.1441
No log 10.6667 384 1.3555 0.1052 1.3555 1.1643
No log 10.7222 386 1.4573 0.1744 1.4573 1.2072
No log 10.7778 388 1.5453 0.2474 1.5453 1.2431
No log 10.8333 390 1.5448 0.2474 1.5448 1.2429
No log 10.8889 392 1.4990 0.2292 1.4990 1.2244
No log 10.9444 394 1.5266 0.2437 1.5266 1.2356
No log 11.0 396 1.4911 0.2611 1.4911 1.2211
No log 11.0556 398 1.5302 0.2869 1.5302 1.2370
No log 11.1111 400 1.6689 0.2770 1.6689 1.2918
No log 11.1667 402 1.7086 0.2806 1.7086 1.3071
No log 11.2222 404 1.6347 0.2568 1.6347 1.2786
No log 11.2778 406 1.4820 0.2184 1.4820 1.2174
No log 11.3333 408 1.3129 0.0781 1.3129 1.1458
No log 11.3889 410 1.2508 0.0 1.2508 1.1184
No log 11.4444 412 1.2049 0.0 1.2049 1.0977
No log 11.5 414 1.2299 0.0 1.2299 1.1090
No log 11.5556 416 1.2278 0.0 1.2278 1.1081
No log 11.6111 418 1.2097 0.0 1.2097 1.0999
No log 11.6667 420 1.2653 0.0781 1.2653 1.1249
No log 11.7222 422 1.3328 0.1407 1.3328 1.1545
No log 11.7778 424 1.3230 0.1814 1.3230 1.1502
No log 11.8333 426 1.2793 0.1744 1.2793 1.1311
No log 11.8889 428 1.3069 0.1744 1.3069 1.1432
No log 11.9444 430 1.4076 0.2126 1.4076 1.1864
No log 12.0 432 1.4343 0.1407 1.4343 1.1976
No log 12.0556 434 1.4305 0.1744 1.4305 1.1960
No log 12.1111 436 1.4026 0.1744 1.4026 1.1843
No log 12.1667 438 1.3833 0.1407 1.3833 1.1761
No log 12.2222 440 1.3730 0.0401 1.3730 1.1718
No log 12.2778 442 1.3782 0.0 1.3782 1.1740
No log 12.3333 444 1.3518 0.0 1.3518 1.1627
No log 12.3889 446 1.3621 0.0 1.3621 1.1671
No log 12.4444 448 1.2894 0.1744 1.2894 1.1355
No log 12.5 450 1.2946 0.2126 1.2946 1.1378
No log 12.5556 452 1.3665 0.2474 1.3665 1.1690
No log 12.6111 454 1.4512 0.2793 1.4512 1.2047
No log 12.6667 456 1.3614 0.2869 1.3614 1.1668
No log 12.7222 458 1.2498 0.2568 1.2498 1.1179
No log 12.7778 460 1.2321 0.2752 1.2321 1.1100
No log 12.8333 462 1.2901 0.2568 1.2901 1.1358
No log 12.8889 464 1.3909 0.2611 1.3909 1.1794
No log 12.9444 466 1.4337 0.2474 1.4337 1.1974
No log 13.0 468 1.5358 0.2391 1.5358 1.2393
No log 13.0556 470 1.4771 0.2752 1.4771 1.2154
No log 13.1111 472 1.4266 0.2126 1.4266 1.1944
No log 13.1667 474 1.3860 0.1052 1.3860 1.1773
No log 13.2222 476 1.2820 0.0 1.2820 1.1322
No log 13.2778 478 1.1700 0.0 1.1700 1.0817
No log 13.3333 480 1.1263 0.0 1.1263 1.0613
No log 13.3889 482 1.1415 0.0 1.1415 1.0684
No log 13.4444 484 1.2601 0.1744 1.2601 1.1225
No log 13.5 486 1.4116 0.2184 1.4116 1.1881
No log 13.5556 488 1.6040 0.3006 1.6040 1.2665
No log 13.6111 490 1.6677 0.3515 1.6677 1.2914
No log 13.6667 492 1.5320 0.3259 1.5320 1.2378
No log 13.7222 494 1.3286 0.2793 1.3286 1.1527
No log 13.7778 496 1.1642 0.2184 1.1642 1.0790
No log 13.8333 498 1.1672 0.2065 1.1672 1.0804
0.2539 13.8889 500 1.2138 0.2184 1.2138 1.1017
0.2539 13.9444 502 1.3358 0.2184 1.3358 1.1558
0.2539 14.0 504 1.5348 0.2733 1.5348 1.2389
0.2539 14.0556 506 1.6473 0.2974 1.6473 1.2835
0.2539 14.1111 508 1.6229 0.2869 1.6229 1.2739
0.2539 14.1667 510 1.5070 0.2424 1.5070 1.2276
0.2539 14.2222 512 1.3901 0.2065 1.3901 1.1790
0.2539 14.2778 514 1.3364 0.1052 1.3364 1.1560
0.2539 14.3333 516 1.3317 0.1052 1.3317 1.1540
0.2539 14.3889 518 1.3678 0.1052 1.3678 1.1695
0.2539 14.4444 520 1.4338 0.1407 1.4338 1.1974

Framework versions

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