ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task2_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: 1.2581
  • Qwk: 0.2361
  • Mse: 1.2581
  • Rmse: 1.1216

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 0.0225 2 4.7685 0.0010 4.7685 2.1837
No log 0.0449 4 2.9570 -0.0104 2.9570 1.7196
No log 0.0674 6 2.2763 -0.0173 2.2763 1.5087
No log 0.0899 8 1.8019 -0.0303 1.8019 1.3424
No log 0.1124 10 1.7095 -0.0483 1.7095 1.3075
No log 0.1348 12 1.3839 0.0201 1.3839 1.1764
No log 0.1573 14 1.3220 0.1468 1.3220 1.1498
No log 0.1798 16 1.6675 0.0221 1.6675 1.2913
No log 0.2022 18 2.8789 0.0 2.8789 1.6967
No log 0.2247 20 2.5475 -0.0229 2.5475 1.5961
No log 0.2472 22 1.6736 0.1224 1.6736 1.2937
No log 0.2697 24 1.3763 0.1080 1.3763 1.1732
No log 0.2921 26 1.4829 0.1675 1.4829 1.2178
No log 0.3146 28 1.7750 0.1366 1.7750 1.3323
No log 0.3371 30 1.8361 0.1270 1.8361 1.3550
No log 0.3596 32 2.1083 0.0160 2.1083 1.4520
No log 0.3820 34 2.5540 0.0815 2.5540 1.5981
No log 0.4045 36 2.1941 0.0938 2.1941 1.4812
No log 0.4270 38 1.6575 0.1117 1.6575 1.2874
No log 0.4494 40 1.2124 0.1966 1.2124 1.1011
No log 0.4719 42 1.1136 0.2764 1.1136 1.0553
No log 0.4944 44 1.1118 0.2424 1.1118 1.0544
No log 0.5169 46 1.1185 0.2455 1.1185 1.0576
No log 0.5393 48 1.1197 0.2579 1.1197 1.0582
No log 0.5618 50 1.2381 0.1196 1.2381 1.1127
No log 0.5843 52 1.3323 0.2071 1.3323 1.1543
No log 0.6067 54 1.5276 0.1483 1.5276 1.2360
No log 0.6292 56 1.7129 0.0227 1.7129 1.3088
No log 0.6517 58 1.6936 0.0 1.6936 1.3014
No log 0.6742 60 1.4421 0.2071 1.4421 1.2009
No log 0.6966 62 1.3190 0.1492 1.3190 1.1485
No log 0.7191 64 1.3490 0.1779 1.3490 1.1615
No log 0.7416 66 1.4518 0.2062 1.4518 1.2049
No log 0.7640 68 1.6730 0.2302 1.6730 1.2934
No log 0.7865 70 2.0362 0.2029 2.0362 1.4270
No log 0.8090 72 1.9955 0.1899 1.9955 1.4126
No log 0.8315 74 1.6108 0.2666 1.6108 1.2692
No log 0.8539 76 1.1720 0.2577 1.1720 1.0826
No log 0.8764 78 1.0506 0.2914 1.0506 1.0250
No log 0.8989 80 1.0649 0.2815 1.0649 1.0319
No log 0.9213 82 1.1044 0.2467 1.1044 1.0509
No log 0.9438 84 1.2002 0.2597 1.2002 1.0955
No log 0.9663 86 1.2497 0.3004 1.2497 1.1179
No log 0.9888 88 1.4460 0.3087 1.4460 1.2025
No log 1.0112 90 1.3639 0.3229 1.3639 1.1679
No log 1.0337 92 1.2373 0.3446 1.2373 1.1123
No log 1.0562 94 1.2725 0.3719 1.2725 1.1280
No log 1.0787 96 1.2968 0.2863 1.2968 1.1388
No log 1.1011 98 1.3106 0.2863 1.3106 1.1448
No log 1.1236 100 1.2258 0.3144 1.2258 1.1072
No log 1.1461 102 1.2889 0.3092 1.2889 1.1353
No log 1.1685 104 1.3243 0.3152 1.3243 1.1508
No log 1.1910 106 1.2231 0.3850 1.2231 1.1060
No log 1.2135 108 1.2365 0.3761 1.2365 1.1120
No log 1.2360 110 1.1828 0.3516 1.1828 1.0876
No log 1.2584 112 1.1568 0.3037 1.1568 1.0756
No log 1.2809 114 1.1920 0.3190 1.1920 1.0918
No log 1.3034 116 1.2357 0.3355 1.2357 1.1116
No log 1.3258 118 1.2876 0.3255 1.2876 1.1347
No log 1.3483 120 1.3199 0.3007 1.3199 1.1489
No log 1.3708 122 1.3482 0.2940 1.3482 1.1611
No log 1.3933 124 1.4225 0.2181 1.4225 1.1927
No log 1.4157 126 1.5494 0.2138 1.5494 1.2447
No log 1.4382 128 1.6071 0.2215 1.6071 1.2677
No log 1.4607 130 1.4510 0.2059 1.4510 1.2046
No log 1.4831 132 1.4793 0.1981 1.4793 1.2163
No log 1.5056 134 1.3069 0.2644 1.3069 1.1432
No log 1.5281 136 1.3909 0.2059 1.3909 1.1794
No log 1.5506 138 1.2596 0.2881 1.2596 1.1223
No log 1.5730 140 1.1592 0.2581 1.1592 1.0767
No log 1.5955 142 1.1667 0.3176 1.1667 1.0801
No log 1.6180 144 1.4135 0.2292 1.4135 1.1889
No log 1.6404 146 1.6854 0.3029 1.6854 1.2982
No log 1.6629 148 1.5861 0.2338 1.5861 1.2594
No log 1.6854 150 1.2668 0.2304 1.2668 1.1255
No log 1.7079 152 1.1742 0.2604 1.1742 1.0836
No log 1.7303 154 1.2206 0.2198 1.2206 1.1048
No log 1.7528 156 1.3720 0.1709 1.3720 1.1713
No log 1.7753 158 1.6803 0.1888 1.6803 1.2963
No log 1.7978 160 1.6342 0.1565 1.6342 1.2783
No log 1.8202 162 1.4110 0.2989 1.4110 1.1878
No log 1.8427 164 1.3090 0.3313 1.3090 1.1441
No log 1.8652 166 1.3075 0.2507 1.3075 1.1435
No log 1.8876 168 1.3869 0.2331 1.3869 1.1777
No log 1.9101 170 1.4971 0.2163 1.4971 1.2236
No log 1.9326 172 1.3622 0.2259 1.3622 1.1672
No log 1.9551 174 1.2267 0.1709 1.2267 1.1076
No log 1.9775 176 1.1856 0.1786 1.1856 1.0889
No log 2.0 178 1.2249 0.1530 1.2249 1.1068
No log 2.0225 180 1.3198 0.2452 1.3198 1.1488
No log 2.0449 182 1.5359 0.1935 1.5359 1.2393
No log 2.0674 184 1.7390 0.1814 1.7390 1.3187
No log 2.0899 186 1.6026 0.2105 1.6026 1.2659
No log 2.1124 188 1.3299 0.1984 1.3299 1.1532
No log 2.1348 190 1.2681 0.2457 1.2681 1.1261
No log 2.1573 192 1.3265 0.3039 1.3265 1.1517
No log 2.1798 194 1.2898 0.2743 1.2898 1.1357
No log 2.2022 196 1.3474 0.3010 1.3474 1.1608
No log 2.2247 198 1.8121 0.2109 1.8121 1.3461
No log 2.2472 200 2.1306 0.1513 2.1306 1.4597
No log 2.2697 202 1.9845 0.2141 1.9845 1.4087
No log 2.2921 204 1.5650 0.2173 1.5650 1.2510
No log 2.3146 206 1.3324 0.2569 1.3324 1.1543
No log 2.3371 208 1.2596 0.3154 1.2596 1.1223
No log 2.3596 210 1.2133 0.2877 1.2133 1.1015
No log 2.3820 212 1.2266 0.2777 1.2266 1.1075
No log 2.4045 214 1.2871 0.1964 1.2871 1.1345
No log 2.4270 216 1.2660 0.1997 1.2660 1.1252
No log 2.4494 218 1.2517 0.3508 1.2517 1.1188
No log 2.4719 220 1.2434 0.2821 1.2434 1.1151
No log 2.4944 222 1.1935 0.2550 1.1935 1.0925
No log 2.5169 224 1.1320 0.3395 1.1320 1.0640
No log 2.5393 226 1.1237 0.3826 1.1237 1.0601
No log 2.5618 228 1.1469 0.3681 1.1469 1.0710
No log 2.5843 230 1.2358 0.2851 1.2358 1.1116
No log 2.6067 232 1.3516 0.2735 1.3516 1.1626
No log 2.6292 234 1.3415 0.3164 1.3415 1.1582
No log 2.6517 236 1.2388 0.3397 1.2388 1.1130
No log 2.6742 238 1.2026 0.3377 1.2026 1.0966
No log 2.6966 240 1.2100 0.2512 1.2100 1.1000
No log 2.7191 242 1.1967 0.1912 1.1967 1.0939
No log 2.7416 244 1.1887 0.2306 1.1887 1.0903
No log 2.7640 246 1.1986 0.2071 1.1986 1.0948
No log 2.7865 248 1.2297 0.2276 1.2297 1.1089
No log 2.8090 250 1.2485 0.2026 1.2485 1.1173
No log 2.8315 252 1.2674 0.2405 1.2674 1.1258
No log 2.8539 254 1.3140 0.2581 1.3140 1.1463
No log 2.8764 256 1.3673 0.2268 1.3673 1.1693
No log 2.8989 258 1.3161 0.3138 1.3161 1.1472
No log 2.9213 260 1.3446 0.3018 1.3446 1.1596
No log 2.9438 262 1.3590 0.2754 1.3590 1.1658
No log 2.9663 264 1.3131 0.3121 1.3131 1.1459
No log 2.9888 266 1.2824 0.2385 1.2824 1.1324
No log 3.0112 268 1.3115 0.2075 1.3115 1.1452
No log 3.0337 270 1.3180 0.1889 1.3180 1.1480
No log 3.0562 272 1.2423 0.2210 1.2423 1.1146
No log 3.0787 274 1.2108 0.0760 1.2108 1.1004
No log 3.1011 276 1.2261 0.1769 1.2261 1.1073
No log 3.1236 278 1.2135 0.1825 1.2135 1.1016
No log 3.1461 280 1.2414 0.2198 1.2414 1.1142
No log 3.1685 282 1.4199 0.2207 1.4199 1.1916
No log 3.1910 284 1.4553 0.2207 1.4553 1.2064
No log 3.2135 286 1.3489 0.2161 1.3489 1.1614
No log 3.2360 288 1.2468 0.2821 1.2468 1.1166
No log 3.2584 290 1.2631 0.2208 1.2631 1.1239
No log 3.2809 292 1.3222 0.2478 1.3222 1.1499
No log 3.3034 294 1.3252 0.2593 1.3252 1.1512
No log 3.3258 296 1.2622 0.2120 1.2622 1.1235
No log 3.3483 298 1.1971 0.2402 1.1971 1.0941
No log 3.3708 300 1.1935 0.1886 1.1935 1.0925
No log 3.3933 302 1.2076 0.2823 1.2076 1.0989
No log 3.4157 304 1.2505 0.1891 1.2505 1.1182
No log 3.4382 306 1.3467 0.2339 1.3467 1.1605
No log 3.4607 308 1.4056 0.2347 1.4056 1.1856
No log 3.4831 310 1.3611 0.1957 1.3611 1.1667
No log 3.5056 312 1.2637 0.2452 1.2637 1.1242
No log 3.5281 314 1.1992 0.1928 1.1992 1.0951
No log 3.5506 316 1.1888 0.2492 1.1888 1.0903
No log 3.5730 318 1.1943 0.2199 1.1943 1.0928
No log 3.5955 320 1.2054 0.2103 1.2054 1.0979
No log 3.6180 322 1.2121 0.2380 1.2121 1.1010
No log 3.6404 324 1.2255 0.1023 1.2255 1.1070
No log 3.6629 326 1.2498 0.2018 1.2498 1.1179
No log 3.6854 328 1.3100 0.2078 1.3100 1.1445
No log 3.7079 330 1.3679 0.2081 1.3679 1.1696
No log 3.7303 332 1.3109 0.1520 1.3109 1.1449
No log 3.7528 334 1.2787 0.1831 1.2787 1.1308
No log 3.7753 336 1.2784 0.1921 1.2784 1.1307
No log 3.7978 338 1.2779 0.1606 1.2779 1.1304
No log 3.8202 340 1.2889 0.2022 1.2889 1.1353
No log 3.8427 342 1.2390 0.2018 1.2390 1.1131
No log 3.8652 344 1.2129 0.2188 1.2129 1.1013
No log 3.8876 346 1.2343 0.2188 1.2343 1.1110
No log 3.9101 348 1.3914 0.2277 1.3914 1.1796
No log 3.9326 350 1.5776 0.1896 1.5776 1.2560
No log 3.9551 352 1.5317 0.1896 1.5317 1.2376
No log 3.9775 354 1.2770 0.1849 1.2770 1.1301
No log 4.0 356 1.1800 0.3328 1.1800 1.0863
No log 4.0225 358 1.1530 0.3261 1.1530 1.0738
No log 4.0449 360 1.1308 0.2103 1.1308 1.0634
No log 4.0674 362 1.1537 0.2035 1.1537 1.0741
No log 4.0899 364 1.1801 0.2283 1.1801 1.0863
No log 4.1124 366 1.1356 0.2824 1.1356 1.0656
No log 4.1348 368 1.1203 0.3171 1.1203 1.0584
No log 4.1573 370 1.1210 0.3014 1.1210 1.0588
No log 4.1798 372 1.1322 0.3076 1.1322 1.0640
No log 4.2022 374 1.1430 0.3076 1.1430 1.0691
No log 4.2247 376 1.1948 0.2845 1.1948 1.0931
No log 4.2472 378 1.2460 0.2797 1.2460 1.1162
No log 4.2697 380 1.2071 0.2120 1.2071 1.0987
No log 4.2921 382 1.1502 0.3143 1.1502 1.0725
No log 4.3146 384 1.1361 0.3369 1.1361 1.0659
No log 4.3371 386 1.1429 0.3361 1.1429 1.0691
No log 4.3596 388 1.1372 0.3139 1.1372 1.0664
No log 4.3820 390 1.1389 0.2925 1.1389 1.0672
No log 4.4045 392 1.1529 0.2718 1.1529 1.0737
No log 4.4270 394 1.1495 0.2663 1.1495 1.0722
No log 4.4494 396 1.2246 0.2308 1.2246 1.1066
No log 4.4719 398 1.2516 0.2035 1.2516 1.1188
No log 4.4944 400 1.2996 0.1994 1.2996 1.1400
No log 4.5169 402 1.2605 0.2510 1.2605 1.1227
No log 4.5393 404 1.1932 0.2845 1.1932 1.0923
No log 4.5618 406 1.1701 0.2845 1.1701 1.0817
No log 4.5843 408 1.1643 0.2209 1.1643 1.0790
No log 4.6067 410 1.1159 0.3527 1.1159 1.0564
No log 4.6292 412 1.1067 0.3148 1.1067 1.0520
No log 4.6517 414 1.1239 0.3036 1.1239 1.0601
No log 4.6742 416 1.1528 0.2697 1.1528 1.0737
No log 4.6966 418 1.1835 0.2384 1.1835 1.0879
No log 4.7191 420 1.1602 0.2650 1.1602 1.0771
No log 4.7416 422 1.1814 0.2224 1.1814 1.0869
No log 4.7640 424 1.2207 0.2063 1.2207 1.1049
No log 4.7865 426 1.2636 0.2742 1.2636 1.1241
No log 4.8090 428 1.3253 0.1950 1.3253 1.1512
No log 4.8315 430 1.3623 0.2002 1.3623 1.1672
No log 4.8539 432 1.2912 0.2410 1.2912 1.1363
No log 4.8764 434 1.2371 0.2452 1.2371 1.1122
No log 4.8989 436 1.1877 0.2021 1.1877 1.0898
No log 4.9213 438 1.1927 0.1595 1.1927 1.0921
No log 4.9438 440 1.1762 0.2021 1.1762 1.0845
No log 4.9663 442 1.1625 0.2237 1.1625 1.0782
No log 4.9888 444 1.1614 0.2237 1.1614 1.0777
No log 5.0112 446 1.2008 0.2452 1.2008 1.0958
No log 5.0337 448 1.2839 0.2131 1.2839 1.1331
No log 5.0562 450 1.2954 0.1999 1.2954 1.1382
No log 5.0787 452 1.2268 0.3077 1.2268 1.1076
No log 5.1011 454 1.1869 0.2949 1.1869 1.0894
No log 5.1236 456 1.1784 0.2446 1.1784 1.0855
No log 5.1461 458 1.2202 0.2544 1.2202 1.1046
No log 5.1685 460 1.2218 0.2169 1.2218 1.1053
No log 5.1910 462 1.1734 0.2075 1.1734 1.0832
No log 5.2135 464 1.1372 0.3205 1.1372 1.0664
No log 5.2360 466 1.1537 0.3671 1.1537 1.0741
No log 5.2584 468 1.1423 0.3148 1.1423 1.0688
No log 5.2809 470 1.1572 0.3166 1.1572 1.0757
No log 5.3034 472 1.1650 0.3166 1.1650 1.0794
No log 5.3258 474 1.1512 0.3166 1.1512 1.0730
No log 5.3483 476 1.1111 0.3190 1.1111 1.0541
No log 5.3708 478 1.1085 0.3059 1.1085 1.0529
No log 5.3933 480 1.1090 0.3059 1.1090 1.0531
No log 5.4157 482 1.1096 0.3080 1.1096 1.0534
No log 5.4382 484 1.2070 0.2501 1.2070 1.0986
No log 5.4607 486 1.2059 0.2501 1.2059 1.0981
No log 5.4831 488 1.1380 0.2863 1.1380 1.0668
No log 5.5056 490 1.1249 0.2973 1.1249 1.0606
No log 5.5281 492 1.1100 0.3384 1.1100 1.0536
No log 5.5506 494 1.1233 0.3032 1.1233 1.0599
No log 5.5730 496 1.1833 0.2870 1.1833 1.0878
No log 5.5955 498 1.1473 0.2624 1.1473 1.0711
0.3417 5.6180 500 1.1193 0.2805 1.1193 1.0579
0.3417 5.6404 502 1.1017 0.2871 1.1017 1.0496
0.3417 5.6629 504 1.1118 0.3486 1.1118 1.0544
0.3417 5.6854 506 1.1337 0.2697 1.1337 1.0648
0.3417 5.7079 508 1.1684 0.2198 1.1684 1.0809
0.3417 5.7303 510 1.2149 0.2170 1.2149 1.1022
0.3417 5.7528 512 1.2697 0.2361 1.2697 1.1268
0.3417 5.7753 514 1.2581 0.2361 1.2581 1.1216

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization

Finetuned
(4019)
this model