ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k13_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: 0.9697
  • Qwk: 0.6215
  • Mse: 0.9697
  • Rmse: 0.9847

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: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0392 2 2.2858 0.0020 2.2858 1.5119
No log 0.0784 4 1.6834 0.1044 1.6834 1.2975
No log 0.1176 6 1.9815 -0.0484 1.9815 1.4077
No log 0.1569 8 1.7776 0.0247 1.7776 1.3333
No log 0.1961 10 1.7120 0.1857 1.7120 1.3084
No log 0.2353 12 1.6481 0.2153 1.6481 1.2838
No log 0.2745 14 1.5619 0.1378 1.5619 1.2498
No log 0.3137 16 1.4992 0.1330 1.4992 1.2244
No log 0.3529 18 1.4890 0.2212 1.4890 1.2203
No log 0.3922 20 1.5385 0.2223 1.5385 1.2404
No log 0.4314 22 1.6197 0.3187 1.6197 1.2727
No log 0.4706 24 1.6794 0.2948 1.6794 1.2959
No log 0.5098 26 1.5681 0.2962 1.5681 1.2522
No log 0.5490 28 1.4225 0.2256 1.4225 1.1927
No log 0.5882 30 1.3564 0.2165 1.3564 1.1647
No log 0.6275 32 1.3179 0.2410 1.3179 1.1480
No log 0.6667 34 1.2645 0.3629 1.2645 1.1245
No log 0.7059 36 1.2591 0.4092 1.2591 1.1221
No log 0.7451 38 1.2303 0.3417 1.2303 1.1092
No log 0.7843 40 1.3182 0.3437 1.3182 1.1481
No log 0.8235 42 1.4335 0.3023 1.4335 1.1973
No log 0.8627 44 1.6077 0.3014 1.6077 1.2680
No log 0.9020 46 1.6043 0.2854 1.6043 1.2666
No log 0.9412 48 1.4296 0.3847 1.4296 1.1957
No log 0.9804 50 1.3240 0.3405 1.3240 1.1507
No log 1.0196 52 1.2292 0.3850 1.2292 1.1087
No log 1.0588 54 1.2161 0.4530 1.2161 1.1028
No log 1.0980 56 1.3343 0.3787 1.3343 1.1551
No log 1.1373 58 1.4432 0.3508 1.4432 1.2013
No log 1.1765 60 1.3477 0.3473 1.3477 1.1609
No log 1.2157 62 1.1772 0.4184 1.1772 1.0850
No log 1.2549 64 1.1084 0.4535 1.1084 1.0528
No log 1.2941 66 1.1501 0.4684 1.1501 1.0724
No log 1.3333 68 1.3002 0.4416 1.3002 1.1403
No log 1.3725 70 1.2827 0.4359 1.2827 1.1326
No log 1.4118 72 1.2625 0.2503 1.2625 1.1236
No log 1.4510 74 1.2548 0.2616 1.2548 1.1202
No log 1.4902 76 1.2511 0.4173 1.2511 1.1185
No log 1.5294 78 1.2487 0.4709 1.2487 1.1174
No log 1.5686 80 1.2408 0.4919 1.2408 1.1139
No log 1.6078 82 1.2015 0.5417 1.2015 1.0961
No log 1.6471 84 1.0020 0.5496 1.0020 1.0010
No log 1.6863 86 0.9653 0.5698 0.9653 0.9825
No log 1.7255 88 1.0409 0.5623 1.0409 1.0203
No log 1.7647 90 1.1051 0.5755 1.1051 1.0512
No log 1.8039 92 1.3683 0.5566 1.3683 1.1697
No log 1.8431 94 1.5837 0.5335 1.5837 1.2584
No log 1.8824 96 1.4039 0.5486 1.4039 1.1848
No log 1.9216 98 1.2167 0.5481 1.2167 1.1030
No log 1.9608 100 1.1726 0.5912 1.1726 1.0829
No log 2.0 102 1.3316 0.5677 1.3316 1.1540
No log 2.0392 104 1.6211 0.5642 1.6211 1.2732
No log 2.0784 106 1.4509 0.5899 1.4509 1.2045
No log 2.1176 108 1.1468 0.6296 1.1468 1.0709
No log 2.1569 110 1.0823 0.6198 1.0823 1.0403
No log 2.1961 112 1.0603 0.6231 1.0603 1.0297
No log 2.2353 114 1.1877 0.6037 1.1877 1.0898
No log 2.2745 116 1.2740 0.5931 1.2740 1.1287
No log 2.3137 118 1.5790 0.5324 1.5790 1.2566
No log 2.3529 120 1.7882 0.5233 1.7882 1.3372
No log 2.3922 122 1.7661 0.5014 1.7661 1.3290
No log 2.4314 124 1.5156 0.5210 1.5156 1.2311
No log 2.4706 126 1.1353 0.5690 1.1353 1.0655
No log 2.5098 128 1.0351 0.5609 1.0351 1.0174
No log 2.5490 130 0.9904 0.5708 0.9904 0.9952
No log 2.5882 132 1.1012 0.5712 1.1012 1.0494
No log 2.6275 134 1.3418 0.5666 1.3418 1.1584
No log 2.6667 136 1.4284 0.5562 1.4284 1.1952
No log 2.7059 138 1.2541 0.5824 1.2541 1.1199
No log 2.7451 140 1.0863 0.6056 1.0863 1.0422
No log 2.7843 142 1.0124 0.6106 1.0124 1.0062
No log 2.8235 144 1.1270 0.6107 1.1270 1.0616
No log 2.8627 146 1.3265 0.5875 1.3265 1.1517
No log 2.9020 148 1.4142 0.6080 1.4142 1.1892
No log 2.9412 150 1.1224 0.6370 1.1224 1.0594
No log 2.9804 152 0.8344 0.6564 0.8344 0.9135
No log 3.0196 154 0.7728 0.6985 0.7728 0.8791
No log 3.0588 156 0.8125 0.6548 0.8125 0.9014
No log 3.0980 158 1.0688 0.6030 1.0688 1.0338
No log 3.1373 160 1.4852 0.5438 1.4852 1.2187
No log 3.1765 162 1.7388 0.5272 1.7388 1.3186
No log 3.2157 164 1.8834 0.4958 1.8834 1.3724
No log 3.2549 166 1.8065 0.5000 1.8065 1.3441
No log 3.2941 168 1.5491 0.4981 1.5491 1.2446
No log 3.3333 170 1.6076 0.4981 1.6076 1.2679
No log 3.3725 172 1.7894 0.4974 1.7894 1.3377
No log 3.4118 174 1.9356 0.4654 1.9356 1.3913
No log 3.4510 176 1.7331 0.4701 1.7331 1.3165
No log 3.4902 178 1.4614 0.5171 1.4614 1.2089
No log 3.5294 180 1.4026 0.5165 1.4026 1.1843
No log 3.5686 182 1.3036 0.5163 1.3036 1.1417
No log 3.6078 184 1.2940 0.5097 1.2940 1.1375
No log 3.6471 186 1.3192 0.5225 1.3192 1.1485
No log 3.6863 188 1.3560 0.5319 1.3560 1.1645
No log 3.7255 190 1.1958 0.5693 1.1958 1.0935
No log 3.7647 192 1.0408 0.5765 1.0408 1.0202
No log 3.8039 194 0.9671 0.5871 0.9671 0.9834
No log 3.8431 196 0.9632 0.6196 0.9632 0.9814
No log 3.8824 198 1.1125 0.5617 1.1125 1.0547
No log 3.9216 200 1.2746 0.5597 1.2746 1.1290
No log 3.9608 202 1.3683 0.5688 1.3683 1.1697
No log 4.0 204 1.2588 0.5525 1.2588 1.1220
No log 4.0392 206 1.2600 0.5632 1.2600 1.1225
No log 4.0784 208 1.2266 0.5536 1.2266 1.1075
No log 4.1176 210 1.2485 0.5600 1.2485 1.1174
No log 4.1569 212 1.2842 0.5354 1.2842 1.1332
No log 4.1961 214 1.2375 0.5642 1.2375 1.1124
No log 4.2353 216 1.2460 0.5520 1.2460 1.1162
No log 4.2745 218 1.1645 0.5917 1.1645 1.0791
No log 4.3137 220 1.0402 0.6154 1.0402 1.0199
No log 4.3529 222 1.0060 0.6257 1.0060 1.0030
No log 4.3922 224 0.9912 0.6330 0.9912 0.9956
No log 4.4314 226 1.0554 0.6187 1.0554 1.0273
No log 4.4706 228 1.0939 0.5978 1.0939 1.0459
No log 4.5098 230 1.1381 0.5998 1.1381 1.0668
No log 4.5490 232 1.0655 0.6047 1.0655 1.0322
No log 4.5882 234 1.0578 0.5974 1.0578 1.0285
No log 4.6275 236 1.0036 0.6037 1.0036 1.0018
No log 4.6667 238 1.0422 0.5845 1.0422 1.0209
No log 4.7059 240 1.0641 0.5690 1.0641 1.0316
No log 4.7451 242 1.1408 0.5746 1.1408 1.0681
No log 4.7843 244 1.2825 0.5587 1.2825 1.1325
No log 4.8235 246 1.3421 0.5612 1.3421 1.1585
No log 4.8627 248 1.3563 0.5783 1.3563 1.1646
No log 4.9020 250 1.2650 0.5756 1.2650 1.1247
No log 4.9412 252 1.2111 0.5695 1.2111 1.1005
No log 4.9804 254 1.2273 0.5572 1.2273 1.1078
No log 5.0196 256 1.3385 0.5475 1.3385 1.1569
No log 5.0588 258 1.5154 0.5646 1.5154 1.2310
No log 5.0980 260 1.5416 0.5610 1.5416 1.2416
No log 5.1373 262 1.4757 0.5858 1.4757 1.2148
No log 5.1765 264 1.3949 0.5794 1.3949 1.1811
No log 5.2157 266 1.1699 0.5591 1.1699 1.0816
No log 5.2549 268 1.0727 0.5755 1.0727 1.0357
No log 5.2941 270 1.1233 0.5725 1.1233 1.0598
No log 5.3333 272 1.1790 0.5725 1.1790 1.0858
No log 5.3725 274 1.2027 0.5666 1.2027 1.0967
No log 5.4118 276 1.1803 0.5814 1.1803 1.0864
No log 5.4510 278 1.1193 0.5897 1.1193 1.0580
No log 5.4902 280 1.0098 0.6010 1.0098 1.0049
No log 5.5294 282 0.9789 0.6139 0.9789 0.9894
No log 5.5686 284 1.0344 0.5971 1.0344 1.0170
No log 5.6078 286 1.0360 0.6060 1.0360 1.0179
No log 5.6471 288 0.9844 0.6077 0.9844 0.9921
No log 5.6863 290 0.9650 0.6099 0.9650 0.9824
No log 5.7255 292 1.0691 0.5968 1.0691 1.0340
No log 5.7647 294 1.1624 0.6023 1.1624 1.0781
No log 5.8039 296 1.2785 0.5990 1.2785 1.1307
No log 5.8431 298 1.2908 0.5949 1.2908 1.1362
No log 5.8824 300 1.1803 0.5870 1.1803 1.0864
No log 5.9216 302 1.0257 0.6117 1.0257 1.0128
No log 5.9608 304 0.9771 0.6127 0.9771 0.9885
No log 6.0 306 1.0143 0.5895 1.0143 1.0071
No log 6.0392 308 1.0962 0.5664 1.0962 1.0470
No log 6.0784 310 1.1816 0.5746 1.1816 1.0870
No log 6.1176 312 1.1586 0.5685 1.1586 1.0764
No log 6.1569 314 1.0438 0.5991 1.0438 1.0217
No log 6.1961 316 0.9743 0.6014 0.9743 0.9871
No log 6.2353 318 0.9384 0.5983 0.9384 0.9687
No log 6.2745 320 1.0028 0.6038 1.0028 1.0014
No log 6.3137 322 1.1731 0.5786 1.1731 1.0831
No log 6.3529 324 1.4840 0.5827 1.4840 1.2182
No log 6.3922 326 1.6800 0.5554 1.6800 1.2961
No log 6.4314 328 1.6667 0.5509 1.6667 1.2910
No log 6.4706 330 1.5329 0.5793 1.5329 1.2381
No log 6.5098 332 1.3674 0.5786 1.3674 1.1694
No log 6.5490 334 1.2587 0.5550 1.2587 1.1219
No log 6.5882 336 1.2351 0.5705 1.2351 1.1114
No log 6.6275 338 1.2842 0.5930 1.2842 1.1332
No log 6.6667 340 1.2416 0.6014 1.2416 1.1143
No log 6.7059 342 1.1544 0.6032 1.1544 1.0744
No log 6.7451 344 1.0212 0.6117 1.0212 1.0105
No log 6.7843 346 0.9101 0.6270 0.9101 0.9540
No log 6.8235 348 0.8401 0.6771 0.8401 0.9166
No log 6.8627 350 0.8256 0.6728 0.8256 0.9086
No log 6.9020 352 0.8197 0.6686 0.8197 0.9054
No log 6.9412 354 0.8106 0.6602 0.8106 0.9003
No log 6.9804 356 0.8527 0.6525 0.8527 0.9234
No log 7.0196 358 0.9474 0.6101 0.9474 0.9734
No log 7.0588 360 0.9907 0.6092 0.9907 0.9953
No log 7.0980 362 0.9859 0.6104 0.9859 0.9929
No log 7.1373 364 0.9647 0.6150 0.9647 0.9822
No log 7.1765 366 0.9832 0.6092 0.9832 0.9916
No log 7.2157 368 1.0198 0.6213 1.0198 1.0099
No log 7.2549 370 1.1298 0.6094 1.1298 1.0629
No log 7.2941 372 1.1724 0.6018 1.1724 1.0828
No log 7.3333 374 1.1319 0.6090 1.1319 1.0639
No log 7.3725 376 1.1077 0.6214 1.1077 1.0525
No log 7.4118 378 1.0731 0.6227 1.0731 1.0359
No log 7.4510 380 1.0421 0.6221 1.0421 1.0208
No log 7.4902 382 1.0103 0.6142 1.0103 1.0051
No log 7.5294 384 0.9841 0.6081 0.9841 0.9920
No log 7.5686 386 1.0102 0.6142 1.0102 1.0051
No log 7.6078 388 1.0596 0.6176 1.0596 1.0294
No log 7.6471 390 1.0461 0.6145 1.0461 1.0228
No log 7.6863 392 0.9755 0.6211 0.9755 0.9877
No log 7.7255 394 0.8972 0.6554 0.8972 0.9472
No log 7.7647 396 0.8337 0.6753 0.8337 0.9131
No log 7.8039 398 0.7968 0.7124 0.7968 0.8926
No log 7.8431 400 0.8044 0.6931 0.8044 0.8969
No log 7.8824 402 0.8211 0.6865 0.8211 0.9061
No log 7.9216 404 0.8812 0.6521 0.8812 0.9387
No log 7.9608 406 0.9386 0.6381 0.9386 0.9688
No log 8.0 408 1.0149 0.6153 1.0149 1.0074
No log 8.0392 410 1.0367 0.6235 1.0367 1.0182
No log 8.0784 412 1.0216 0.6234 1.0216 1.0107
No log 8.1176 414 1.0191 0.6194 1.0191 1.0095
No log 8.1569 416 1.0074 0.6248 1.0074 1.0037
No log 8.1961 418 1.0004 0.6248 1.0004 1.0002
No log 8.2353 420 0.9791 0.6187 0.9791 0.9895
No log 8.2745 422 0.9747 0.6126 0.9747 0.9872
No log 8.3137 424 0.9832 0.6207 0.9832 0.9916
No log 8.3529 426 0.9603 0.6224 0.9603 0.9799
No log 8.3922 428 0.9457 0.6122 0.9457 0.9725
No log 8.4314 430 0.9175 0.6339 0.9175 0.9579
No log 8.4706 432 0.9035 0.6464 0.9035 0.9505
No log 8.5098 434 0.8964 0.6531 0.8964 0.9468
No log 8.5490 436 0.8821 0.6636 0.8821 0.9392
No log 8.5882 438 0.8731 0.6628 0.8731 0.9344
No log 8.6275 440 0.8617 0.6719 0.8617 0.9283
No log 8.6667 442 0.8839 0.6472 0.8839 0.9402
No log 8.7059 444 0.9028 0.6301 0.9028 0.9502
No log 8.7451 446 0.8999 0.6342 0.8999 0.9487
No log 8.7843 448 0.8960 0.6227 0.8960 0.9465
No log 8.8235 450 0.9214 0.6218 0.9214 0.9599
No log 8.8627 452 0.9670 0.6215 0.9670 0.9834
No log 8.9020 454 1.0194 0.6267 1.0194 1.0097
No log 8.9412 456 1.0350 0.6143 1.0350 1.0173
No log 8.9804 458 1.0218 0.6267 1.0218 1.0108
No log 9.0196 460 0.9927 0.6207 0.9927 0.9963
No log 9.0588 462 0.9763 0.6248 0.9763 0.9881
No log 9.0980 464 0.9797 0.6248 0.9797 0.9898
No log 9.1373 466 0.9795 0.6207 0.9795 0.9897
No log 9.1765 468 0.9619 0.6248 0.9619 0.9808
No log 9.2157 470 0.9606 0.6248 0.9606 0.9801
No log 9.2549 472 0.9733 0.6207 0.9733 0.9866
No log 9.2941 474 0.9843 0.6207 0.9843 0.9921
No log 9.3333 476 0.9931 0.6207 0.9931 0.9965
No log 9.3725 478 0.9996 0.6207 0.9996 0.9998
No log 9.4118 480 1.0096 0.6194 1.0096 1.0048
No log 9.4510 482 1.0135 0.6194 1.0135 1.0067
No log 9.4902 484 1.0134 0.6207 1.0134 1.0067
No log 9.5294 486 1.0076 0.6207 1.0076 1.0038
No log 9.5686 488 0.9972 0.6207 0.9972 0.9986
No log 9.6078 490 0.9865 0.6248 0.9865 0.9932
No log 9.6471 492 0.9782 0.6248 0.9782 0.9891
No log 9.6863 494 0.9700 0.6215 0.9700 0.9849
No log 9.7255 496 0.9645 0.6215 0.9645 0.9821
No log 9.7647 498 0.9670 0.6215 0.9670 0.9833
0.3404 9.8039 500 0.9681 0.6215 0.9681 0.9839
0.3404 9.8431 502 0.9689 0.6215 0.9689 0.9843
0.3404 9.8824 504 0.9685 0.6215 0.9685 0.9841
0.3404 9.9216 506 0.9702 0.6215 0.9702 0.9850
0.3404 9.9608 508 0.9696 0.6215 0.9696 0.9847
0.3404 10.0 510 0.9697 0.6215 0.9697 0.9847

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
2
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k13_task5_organization

Finetuned
(4040)
this model