ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_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: 1.3454
  • Qwk: 0.1185
  • Mse: 1.3454
  • Rmse: 1.1599

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 0.2222 2 4.8945 0.0064 4.8945 2.2124
No log 0.4444 4 3.0030 0.0215 3.0030 1.7329
No log 0.6667 6 2.2236 -0.0744 2.2236 1.4912
No log 0.8889 8 2.0972 -0.0164 2.0972 1.4482
No log 1.1111 10 1.7518 0.0196 1.7518 1.3236
No log 1.3333 12 1.8672 0.0548 1.8672 1.3665
No log 1.5556 14 2.1411 -0.1076 2.1411 1.4632
No log 1.7778 16 2.0902 -0.0430 2.0902 1.4458
No log 2.0 18 1.8423 0.0227 1.8423 1.3573
No log 2.2222 20 1.3859 0.0297 1.3859 1.1772
No log 2.4444 22 1.2689 0.0768 1.2689 1.1264
No log 2.6667 24 1.2646 0.0860 1.2646 1.1245
No log 2.8889 26 1.4115 0.0275 1.4115 1.1881
No log 3.1111 28 1.5963 0.0339 1.5963 1.2634
No log 3.3333 30 1.5255 -0.0047 1.5255 1.2351
No log 3.5556 32 1.4444 0.0124 1.4444 1.2019
No log 3.7778 34 1.4720 0.0124 1.4720 1.2132
No log 4.0 36 1.3789 0.0955 1.3789 1.1742
No log 4.2222 38 1.3217 0.1887 1.3217 1.1496
No log 4.4444 40 1.2728 0.1812 1.2728 1.1282
No log 4.6667 42 1.2950 0.1713 1.2950 1.1380
No log 4.8889 44 1.3098 0.2180 1.3098 1.1445
No log 5.1111 46 1.2956 0.1911 1.2956 1.1382
No log 5.3333 48 1.2511 0.2111 1.2511 1.1185
No log 5.5556 50 1.2277 0.1893 1.2277 1.1080
No log 5.7778 52 1.2145 0.0977 1.2145 1.1020
No log 6.0 54 1.2024 0.2111 1.2024 1.0965
No log 6.2222 56 1.1951 0.2268 1.1951 1.0932
No log 6.4444 58 1.1759 0.2097 1.1759 1.0844
No log 6.6667 60 1.1631 0.1875 1.1631 1.0785
No log 6.8889 62 1.1567 0.2142 1.1567 1.0755
No log 7.1111 64 1.1591 0.2624 1.1591 1.0766
No log 7.3333 66 1.1410 0.2628 1.1410 1.0682
No log 7.5556 68 1.1518 0.3041 1.1518 1.0732
No log 7.7778 70 1.1552 0.1875 1.1552 1.0748
No log 8.0 72 1.1873 0.1211 1.1873 1.0896
No log 8.2222 74 1.2462 0.0948 1.2462 1.1163
No log 8.4444 76 1.3058 0.0596 1.3058 1.1427
No log 8.6667 78 1.2277 0.1344 1.2277 1.1080
No log 8.8889 80 1.1909 0.1986 1.1909 1.0913
No log 9.1111 82 1.1866 0.2086 1.1866 1.0893
No log 9.3333 84 1.2802 0.1654 1.2802 1.1315
No log 9.5556 86 1.3754 0.0880 1.3754 1.1728
No log 9.7778 88 1.2605 0.1315 1.2605 1.1227
No log 10.0 90 1.1662 0.1706 1.1662 1.0799
No log 10.2222 92 1.1492 0.2028 1.1492 1.0720
No log 10.4444 94 1.2216 0.1085 1.2216 1.1053
No log 10.6667 96 1.5078 0.0526 1.5078 1.2279
No log 10.8889 98 1.6332 0.1135 1.6332 1.2780
No log 11.1111 100 1.5270 0.1308 1.5270 1.2357
No log 11.3333 102 1.2115 0.1279 1.2115 1.1007
No log 11.5556 104 1.1202 0.2971 1.1202 1.0584
No log 11.7778 106 1.1218 0.2689 1.1218 1.0592
No log 12.0 108 1.1971 0.1726 1.1971 1.0941
No log 12.2222 110 1.2448 0.1535 1.2448 1.1157
No log 12.4444 112 1.1781 0.1463 1.1781 1.0854
No log 12.6667 114 1.1103 0.1379 1.1103 1.0537
No log 12.8889 116 1.1126 0.1605 1.1126 1.0548
No log 13.1111 118 1.1909 0.125 1.1909 1.0913
No log 13.3333 120 1.2352 0.1761 1.2352 1.1114
No log 13.5556 122 1.1165 0.2195 1.1165 1.0567
No log 13.7778 124 1.1018 0.3043 1.1018 1.0497
No log 14.0 126 1.1795 0.2211 1.1795 1.0861
No log 14.2222 128 1.2167 0.2211 1.2167 1.1031
No log 14.4444 130 1.1565 0.1912 1.1565 1.0754
No log 14.6667 132 1.1276 0.2843 1.1276 1.0619
No log 14.8889 134 1.1582 0.2614 1.1582 1.0762
No log 15.1111 136 1.1964 0.1245 1.1964 1.0938
No log 15.3333 138 1.3108 0.2090 1.3108 1.1449
No log 15.5556 140 1.3868 0.2132 1.3868 1.1776
No log 15.7778 142 1.3310 0.125 1.3310 1.1537
No log 16.0 144 1.2636 0.1541 1.2636 1.1241
No log 16.2222 146 1.2173 0.1602 1.2173 1.1033
No log 16.4444 148 1.2874 0.1000 1.2874 1.1347
No log 16.6667 150 1.4440 0.2122 1.4440 1.2016
No log 16.8889 152 1.4477 0.2301 1.4477 1.2032
No log 17.1111 154 1.3686 0.2250 1.3686 1.1699
No log 17.3333 156 1.3430 0.2403 1.3430 1.1589
No log 17.5556 158 1.3038 0.1067 1.3038 1.1419
No log 17.7778 160 1.3278 0.1637 1.3278 1.1523
No log 18.0 162 1.2994 0.1637 1.2994 1.1399
No log 18.2222 164 1.2460 0.1441 1.2460 1.1163
No log 18.4444 166 1.2054 0.2065 1.2054 1.0979
No log 18.6667 168 1.2192 0.1911 1.2192 1.1042
No log 18.8889 170 1.2505 0.2207 1.2505 1.1182
No log 19.1111 172 1.3021 0.1758 1.3021 1.1411
No log 19.3333 174 1.2670 0.2207 1.2670 1.1256
No log 19.5556 176 1.2203 0.1667 1.2203 1.1047
No log 19.7778 178 1.2146 0.1343 1.2146 1.1021
No log 20.0 180 1.2310 0.1706 1.2310 1.1095
No log 20.2222 182 1.3141 0.2313 1.3141 1.1463
No log 20.4444 184 1.4072 0.1801 1.4072 1.1863
No log 20.6667 186 1.3510 0.2069 1.3510 1.1623
No log 20.8889 188 1.2490 0.1860 1.2490 1.1176
No log 21.1111 190 1.2340 0.0855 1.2340 1.1109
No log 21.3333 192 1.2460 0.0789 1.2460 1.1162
No log 21.5556 194 1.2942 0.1576 1.2942 1.1376
No log 21.7778 196 1.4052 0.2074 1.4052 1.1854
No log 22.0 198 1.5146 0.1935 1.5146 1.2307
No log 22.2222 200 1.5254 0.1980 1.5254 1.2351
No log 22.4444 202 1.4335 0.1219 1.4335 1.1973
No log 22.6667 204 1.3060 0.1952 1.3060 1.1428
No log 22.8889 206 1.2346 0.1602 1.2346 1.1111
No log 23.1111 208 1.2397 0.2317 1.2397 1.1134
No log 23.3333 210 1.3086 0.1995 1.3086 1.1439
No log 23.5556 212 1.4872 0.2520 1.4872 1.2195
No log 23.7778 214 1.6097 0.2569 1.6097 1.2687
No log 24.0 216 1.5700 0.2348 1.5700 1.2530
No log 24.2222 218 1.4367 0.2252 1.4367 1.1986
No log 24.4444 220 1.2885 0.1602 1.2885 1.1351
No log 24.6667 222 1.2698 0.1278 1.2698 1.1269
No log 24.8889 224 1.2765 0.1278 1.2765 1.1298
No log 25.1111 226 1.2998 0.1279 1.2998 1.1401
No log 25.3333 228 1.3629 0.1850 1.3629 1.1674
No log 25.5556 230 1.4383 0.1404 1.4383 1.1993
No log 25.7778 232 1.4641 0.1748 1.4641 1.2100
No log 26.0 234 1.4264 0.1795 1.4264 1.1943
No log 26.2222 236 1.3457 0.0994 1.3457 1.1601
No log 26.4444 238 1.3037 0.0994 1.3037 1.1418
No log 26.6667 240 1.2594 0.1053 1.2594 1.1222
No log 26.8889 242 1.2515 0.1149 1.2515 1.1187
No log 27.1111 244 1.2955 0.0994 1.2955 1.1382
No log 27.3333 246 1.3936 0.1026 1.3936 1.1805
No log 27.5556 248 1.4585 0.1498 1.4585 1.2077
No log 27.7778 250 1.4054 0.2184 1.4054 1.1855
No log 28.0 252 1.2912 0.1405 1.2912 1.1363
No log 28.2222 254 1.2266 0.1444 1.2266 1.1075
No log 28.4444 256 1.2442 0.1654 1.2442 1.1154
No log 28.6667 258 1.2467 0.1335 1.2467 1.1166
No log 28.8889 260 1.2602 0.0870 1.2602 1.1226
No log 29.1111 262 1.3396 0.2223 1.3396 1.1574
No log 29.3333 264 1.3782 0.1761 1.3782 1.1740
No log 29.5556 266 1.3291 0.2223 1.3291 1.1529
No log 29.7778 268 1.2619 0.1523 1.2619 1.1233
No log 30.0 270 1.2420 0.1878 1.2420 1.1144
No log 30.2222 272 1.2316 0.1632 1.2316 1.1098
No log 30.4444 274 1.2247 0.1628 1.2247 1.1067
No log 30.6667 276 1.2336 0.1406 1.2336 1.1107
No log 30.8889 278 1.2752 0.1853 1.2752 1.1293
No log 31.1111 280 1.3045 0.1500 1.3045 1.1422
No log 31.3333 282 1.3024 0.1479 1.3024 1.1412
No log 31.5556 284 1.2802 0.1541 1.2802 1.1314
No log 31.7778 286 1.2539 0.1480 1.2539 1.1198
No log 32.0 288 1.2307 0.1645 1.2307 1.1093
No log 32.2222 290 1.2342 0.1645 1.2342 1.1109
No log 32.4444 292 1.2802 0.1952 1.2802 1.1315
No log 32.6667 294 1.3651 0.1252 1.3651 1.1684
No log 32.8889 296 1.3740 0.0937 1.3740 1.1722
No log 33.1111 298 1.3134 0.1795 1.3134 1.1460
No log 33.3333 300 1.2444 0.1541 1.2444 1.1155
No log 33.5556 302 1.2355 0.2009 1.2355 1.1116
No log 33.7778 304 1.2865 0.1405 1.2865 1.1343
No log 34.0 306 1.3616 0.1844 1.3616 1.1669
No log 34.2222 308 1.3581 0.1844 1.3581 1.1654
No log 34.4444 310 1.2856 0.1345 1.2856 1.1339
No log 34.6667 312 1.2054 0.1602 1.2054 1.0979
No log 34.8889 314 1.1895 0.1602 1.1895 1.0906
No log 35.1111 316 1.2128 0.1701 1.2128 1.1013
No log 35.3333 318 1.2422 0.1379 1.2422 1.1145
No log 35.5556 320 1.2976 0.1026 1.2976 1.1391
No log 35.7778 322 1.3353 0.1650 1.3353 1.1556
No log 36.0 324 1.3335 0.1670 1.3335 1.1548
No log 36.2222 326 1.2881 0.1812 1.2881 1.1349
No log 36.4444 328 1.2461 0.2184 1.2461 1.1163
No log 36.6667 330 1.2287 0.2006 1.2287 1.1085
No log 36.8889 332 1.2474 0.2326 1.2474 1.1169
No log 37.1111 334 1.2528 0.2362 1.2528 1.1193
No log 37.3333 336 1.2355 0.2762 1.2355 1.1115
No log 37.5556 338 1.2295 0.1959 1.2295 1.1088
No log 37.7778 340 1.1972 0.2331 1.1972 1.0942
No log 38.0 342 1.1899 0.2331 1.1899 1.0908
No log 38.2222 344 1.1812 0.2331 1.1812 1.0868
No log 38.4444 346 1.2060 0.2331 1.2060 1.0982
No log 38.6667 348 1.2129 0.2019 1.2129 1.1013
No log 38.8889 350 1.2200 0.2019 1.2200 1.1045
No log 39.1111 352 1.2149 0.1969 1.2149 1.1022
No log 39.3333 354 1.2180 0.1969 1.2180 1.1036
No log 39.5556 356 1.2083 0.1808 1.2083 1.0992
No log 39.7778 358 1.2165 0.1808 1.2165 1.1029
No log 40.0 360 1.2310 0.1645 1.2310 1.1095
No log 40.2222 362 1.2080 0.1969 1.2080 1.0991
No log 40.4444 364 1.1936 0.2812 1.1936 1.0925
No log 40.6667 366 1.1955 0.2605 1.1955 1.0934
No log 40.8889 368 1.1958 0.2605 1.1958 1.0935
No log 41.1111 370 1.1958 0.2605 1.1958 1.0935
No log 41.3333 372 1.2075 0.2371 1.2075 1.0989
No log 41.5556 374 1.2640 0.1559 1.2640 1.1243
No log 41.7778 376 1.3161 0.2173 1.3161 1.1472
No log 42.0 378 1.3497 0.2503 1.3497 1.1618
No log 42.2222 380 1.3237 0.2534 1.3237 1.1505
No log 42.4444 382 1.2449 0.2345 1.2449 1.1157
No log 42.6667 384 1.1872 0.2735 1.1872 1.0896
No log 42.8889 386 1.1639 0.2792 1.1639 1.0788
No log 43.1111 388 1.1628 0.2792 1.1628 1.0783
No log 43.3333 390 1.1702 0.2640 1.1702 1.0817
No log 43.5556 392 1.2131 0.2015 1.2131 1.1014
No log 43.7778 394 1.2484 0.1280 1.2484 1.1173
No log 44.0 396 1.2621 0.1000 1.2621 1.1234
No log 44.2222 398 1.2445 0.1185 1.2445 1.1156
No log 44.4444 400 1.1841 0.1808 1.1841 1.0881
No log 44.6667 402 1.1327 0.2812 1.1327 1.0643
No log 44.8889 404 1.1060 0.2569 1.1060 1.0517
No log 45.1111 406 1.0990 0.2569 1.0990 1.0483
No log 45.3333 408 1.1137 0.2142 1.1137 1.0553
No log 45.5556 410 1.1645 0.1747 1.1645 1.0791
No log 45.7778 412 1.2455 0.1026 1.2455 1.1160
No log 46.0 414 1.3005 0.1650 1.3005 1.1404
No log 46.2222 416 1.2815 0.1650 1.2815 1.1320
No log 46.4444 418 1.2277 0.1654 1.2277 1.1080
No log 46.6667 420 1.1648 0.2219 1.1648 1.0792
No log 46.8889 422 1.1410 0.2331 1.1410 1.0682
No log 47.1111 424 1.1343 0.2231 1.1343 1.0650
No log 47.3333 426 1.1343 0.2331 1.1343 1.0650
No log 47.5556 428 1.1373 0.2331 1.1373 1.0664
No log 47.7778 430 1.1539 0.2165 1.1539 1.0742
No log 48.0 432 1.2002 0.1951 1.2002 1.0956
No log 48.2222 434 1.2163 0.1951 1.2163 1.1028
No log 48.4444 436 1.2293 0.1654 1.2293 1.1087
No log 48.6667 438 1.2273 0.1344 1.2273 1.1078
No log 48.8889 440 1.2319 0.1344 1.2319 1.1099
No log 49.1111 442 1.2164 0.1344 1.2164 1.1029
No log 49.3333 444 1.2106 0.1344 1.2106 1.1003
No log 49.5556 446 1.2311 0.1344 1.2311 1.1095
No log 49.7778 448 1.2371 0.1248 1.2371 1.1122
No log 50.0 450 1.2612 0.1801 1.2612 1.1230
No log 50.2222 452 1.2566 0.1801 1.2566 1.1210
No log 50.4444 454 1.2193 0.1310 1.2193 1.1042
No log 50.6667 456 1.1679 0.1761 1.1679 1.0807
No log 50.8889 458 1.1491 0.2231 1.1491 1.0720
No log 51.1111 460 1.1539 0.2331 1.1539 1.0742
No log 51.3333 462 1.1783 0.1761 1.1783 1.0855
No log 51.5556 464 1.1943 0.1860 1.1943 1.0928
No log 51.7778 466 1.2204 0.1344 1.2204 1.1047
No log 52.0 468 1.2385 0.1344 1.2385 1.1129
No log 52.2222 470 1.2483 0.1185 1.2483 1.1173
No log 52.4444 472 1.2500 0.1344 1.2500 1.1181
No log 52.6667 474 1.2266 0.1344 1.2266 1.1075
No log 52.8889 476 1.1910 0.2019 1.1910 1.0913
No log 53.1111 478 1.1631 0.2640 1.1631 1.0785
No log 53.3333 480 1.1622 0.2792 1.1622 1.0781
No log 53.5556 482 1.1660 0.2341 1.1660 1.0798
No log 53.7778 484 1.1647 0.2242 1.1647 1.0792
No log 54.0 486 1.1676 0.2692 1.1676 1.0805
No log 54.2222 488 1.1769 0.2539 1.1769 1.0848
No log 54.4444 490 1.1818 0.1977 1.1818 1.0871
No log 54.6667 492 1.1851 0.2539 1.1851 1.0886
No log 54.8889 494 1.2010 0.2231 1.2010 1.0959
No log 55.1111 496 1.2051 0.2640 1.2051 1.0978
No log 55.3333 498 1.2074 0.2640 1.2074 1.0988
0.2615 55.5556 500 1.2161 0.2331 1.2161 1.1028
0.2615 55.7778 502 1.2329 0.2331 1.2329 1.1104
0.2615 56.0 504 1.2671 0.1405 1.2671 1.1257
0.2615 56.2222 506 1.2832 0.1185 1.2832 1.1328
0.2615 56.4444 508 1.2999 0.1185 1.2999 1.1401
0.2615 56.6667 510 1.3454 0.1185 1.3454 1.1599

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
1
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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task2_organization

Finetuned
(4023)
this model