ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k16_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: 1.1255
  • Qwk: 0.6141
  • Mse: 1.1255
  • Rmse: 1.0609

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 0.0312 2 2.2598 0.0408 2.2598 1.5033
No log 0.0625 4 1.4667 0.1974 1.4667 1.2111
No log 0.0938 6 1.5160 0.1069 1.5160 1.2313
No log 0.125 8 1.6139 0.2226 1.6139 1.2704
No log 0.1562 10 1.5690 0.2395 1.5690 1.2526
No log 0.1875 12 1.5361 0.1359 1.5361 1.2394
No log 0.2188 14 1.4487 0.1475 1.4487 1.2036
No log 0.25 16 1.3770 0.1475 1.3770 1.1735
No log 0.2812 18 1.3173 0.1475 1.3173 1.1477
No log 0.3125 20 1.3090 0.2192 1.3090 1.1441
No log 0.3438 22 1.3213 0.2604 1.3213 1.1495
No log 0.375 24 1.3974 0.2589 1.3974 1.1821
No log 0.4062 26 1.5221 0.3213 1.5221 1.2337
No log 0.4375 28 1.4759 0.2474 1.4759 1.2149
No log 0.4688 30 1.4847 0.3944 1.4847 1.2185
No log 0.5 32 1.3704 0.4186 1.3704 1.1707
No log 0.5312 34 1.2504 0.3578 1.2504 1.1182
No log 0.5625 36 1.1818 0.3589 1.1818 1.0871
No log 0.5938 38 1.2036 0.3602 1.2036 1.0971
No log 0.625 40 1.2435 0.3513 1.2435 1.1151
No log 0.6562 42 1.3608 0.3607 1.3608 1.1665
No log 0.6875 44 1.3533 0.3803 1.3533 1.1633
No log 0.7188 46 1.3044 0.3717 1.3044 1.1421
No log 0.75 48 1.1787 0.3708 1.1787 1.0857
No log 0.7812 50 1.1643 0.4013 1.1643 1.0790
No log 0.8125 52 1.1719 0.3675 1.1719 1.0825
No log 0.8438 54 1.1774 0.4000 1.1774 1.0851
No log 0.875 56 1.3425 0.4328 1.3425 1.1586
No log 0.9062 58 1.7871 0.3953 1.7871 1.3368
No log 0.9375 60 1.8784 0.3752 1.8784 1.3706
No log 0.9688 62 1.5482 0.4039 1.5482 1.2443
No log 1.0 64 1.4700 0.3326 1.4700 1.2124
No log 1.0312 66 1.5150 0.3417 1.5150 1.2308
No log 1.0625 68 1.5552 0.3806 1.5552 1.2471
No log 1.0938 70 1.7384 0.4221 1.7384 1.3185
No log 1.125 72 1.9447 0.3822 1.9447 1.3945
No log 1.1562 74 1.6729 0.4389 1.6729 1.2934
No log 1.1875 76 1.5559 0.4435 1.5559 1.2474
No log 1.2188 78 1.5078 0.4502 1.5078 1.2279
No log 1.25 80 1.5308 0.4424 1.5308 1.2373
No log 1.2812 82 1.5689 0.4457 1.5689 1.2525
No log 1.3125 84 1.4225 0.4480 1.4225 1.1927
No log 1.3438 86 1.3960 0.4714 1.3960 1.1815
No log 1.375 88 1.5008 0.4509 1.5008 1.2251
No log 1.4062 90 1.5899 0.4505 1.5899 1.2609
No log 1.4375 92 1.3524 0.4641 1.3524 1.1629
No log 1.4688 94 1.2112 0.5058 1.2112 1.1005
No log 1.5 96 1.2964 0.4657 1.2964 1.1386
No log 1.5312 98 1.3635 0.4767 1.3635 1.1677
No log 1.5625 100 1.4890 0.4485 1.4890 1.2203
No log 1.5938 102 1.6375 0.4553 1.6375 1.2796
No log 1.625 104 2.0502 0.4805 2.0502 1.4319
No log 1.6562 106 1.8638 0.4798 1.8638 1.3652
No log 1.6875 108 1.5189 0.5081 1.5189 1.2324
No log 1.7188 110 1.6993 0.4678 1.6993 1.3036
No log 1.75 112 1.6830 0.4856 1.6830 1.2973
No log 1.7812 114 1.4135 0.5101 1.4135 1.1889
No log 1.8125 116 1.3337 0.4909 1.3337 1.1549
No log 1.8438 118 1.6159 0.4972 1.6159 1.2712
No log 1.875 120 1.8471 0.4448 1.8471 1.3591
No log 1.9062 122 1.5373 0.4856 1.5373 1.2399
No log 1.9375 124 1.1760 0.4990 1.1760 1.0844
No log 1.9688 126 1.1606 0.4990 1.1606 1.0773
No log 2.0 128 1.3766 0.4984 1.3766 1.1733
No log 2.0312 130 1.7988 0.4847 1.7988 1.3412
No log 2.0625 132 1.7862 0.4780 1.7862 1.3365
No log 2.0938 134 1.2611 0.5370 1.2611 1.1230
No log 2.125 136 1.0274 0.5691 1.0274 1.0136
No log 2.1562 138 0.9995 0.5953 0.9995 0.9997
No log 2.1875 140 1.1317 0.5796 1.1317 1.0638
No log 2.2188 142 1.0926 0.5849 1.0926 1.0453
No log 2.25 144 1.0657 0.6323 1.0657 1.0323
No log 2.2812 146 1.1431 0.6346 1.1431 1.0692
No log 2.3125 148 1.4697 0.5542 1.4697 1.2123
No log 2.3438 150 1.3783 0.5986 1.3783 1.1740
No log 2.375 152 1.2045 0.6476 1.2045 1.0975
No log 2.4062 154 1.0946 0.6355 1.0946 1.0462
No log 2.4375 156 1.0468 0.6387 1.0468 1.0232
No log 2.4688 158 1.0706 0.6586 1.0706 1.0347
No log 2.5 160 1.3500 0.5532 1.3500 1.1619
No log 2.5312 162 1.3595 0.5393 1.3595 1.1660
No log 2.5625 164 1.2621 0.5252 1.2621 1.1234
No log 2.5938 166 1.2585 0.5264 1.2585 1.1218
No log 2.625 168 1.1125 0.5474 1.1125 1.0548
No log 2.6562 170 1.1487 0.5491 1.1487 1.0718
No log 2.6875 172 1.4071 0.5361 1.4071 1.1862
No log 2.7188 174 1.6396 0.5449 1.6396 1.2805
No log 2.75 176 1.6611 0.5360 1.6611 1.2889
No log 2.7812 178 1.3352 0.5670 1.3352 1.1555
No log 2.8125 180 1.1188 0.6110 1.1188 1.0578
No log 2.8438 182 1.0809 0.5881 1.0809 1.0397
No log 2.875 184 1.0203 0.6022 1.0203 1.0101
No log 2.9062 186 0.9949 0.6419 0.9949 0.9975
No log 2.9375 188 1.2082 0.5563 1.2082 1.0992
No log 2.9688 190 1.4479 0.5386 1.4479 1.2033
No log 3.0 192 1.3637 0.5482 1.3637 1.1678
No log 3.0312 194 1.1493 0.5557 1.1493 1.0721
No log 3.0625 196 0.9534 0.6220 0.9534 0.9764
No log 3.0938 198 0.9597 0.6264 0.9597 0.9797
No log 3.125 200 1.0943 0.6302 1.0943 1.0461
No log 3.1562 202 1.2192 0.5825 1.2192 1.1042
No log 3.1875 204 1.0923 0.6230 1.0922 1.0451
No log 3.2188 206 1.0983 0.6204 1.0983 1.0480
No log 3.25 208 1.2656 0.5982 1.2656 1.1250
No log 3.2812 210 1.2323 0.5836 1.2323 1.1101
No log 3.3125 212 1.1472 0.5895 1.1472 1.0711
No log 3.3438 214 1.0283 0.6373 1.0283 1.0141
No log 3.375 216 0.8929 0.6719 0.8929 0.9449
No log 3.4062 218 0.9654 0.6591 0.9654 0.9825
No log 3.4375 220 1.1618 0.6259 1.1618 1.0779
No log 3.4688 222 1.3930 0.5628 1.3930 1.1802
No log 3.5 224 1.3768 0.5445 1.3768 1.1734
No log 3.5312 226 1.2623 0.5294 1.2623 1.1235
No log 3.5625 228 1.2183 0.5364 1.2183 1.1038
No log 3.5938 230 1.1837 0.5673 1.1837 1.0880
No log 3.625 232 1.1146 0.5946 1.1146 1.0557
No log 3.6562 234 1.0792 0.5903 1.0792 1.0388
No log 3.6875 236 1.2239 0.6124 1.2239 1.1063
No log 3.7188 238 1.2723 0.6006 1.2723 1.1280
No log 3.75 240 1.1065 0.5912 1.1065 1.0519
No log 3.7812 242 1.0664 0.6022 1.0664 1.0326
No log 3.8125 244 1.0355 0.6093 1.0355 1.0176
No log 3.8438 246 0.9984 0.5980 0.9984 0.9992
No log 3.875 248 1.0813 0.5899 1.0813 1.0398
No log 3.9062 250 1.2098 0.5625 1.2098 1.0999
No log 3.9375 252 1.2365 0.5718 1.2365 1.1120
No log 3.9688 254 1.2160 0.5738 1.2160 1.1027
No log 4.0 256 1.1567 0.5967 1.1567 1.0755
No log 4.0312 258 1.0204 0.6231 1.0204 1.0101
No log 4.0625 260 1.1189 0.6308 1.1189 1.0578
No log 4.0938 262 1.4941 0.5508 1.4941 1.2223
No log 4.125 264 1.6710 0.5298 1.6710 1.2927
No log 4.1562 266 1.4426 0.5861 1.4426 1.2011
No log 4.1875 268 1.1176 0.6426 1.1176 1.0571
No log 4.2188 270 1.0077 0.6221 1.0077 1.0039
No log 4.25 272 1.0330 0.6339 1.0330 1.0164
No log 4.2812 274 1.1142 0.6423 1.1142 1.0556
No log 4.3125 276 1.2727 0.5998 1.2727 1.1282
No log 4.3438 278 1.4902 0.5493 1.4902 1.2207
No log 4.375 280 1.3623 0.5845 1.3623 1.1672
No log 4.4062 282 1.0570 0.6318 1.0570 1.0281
No log 4.4375 284 0.9426 0.6387 0.9426 0.9709
No log 4.4688 286 1.0353 0.6341 1.0353 1.0175
No log 4.5 288 1.2918 0.5987 1.2918 1.1366
No log 4.5312 290 1.3641 0.5918 1.3641 1.1680
No log 4.5625 292 1.2591 0.6168 1.2591 1.1221
No log 4.5938 294 1.2190 0.6142 1.2190 1.1041
No log 4.625 296 1.2105 0.6101 1.2104 1.1002
No log 4.6562 298 1.0593 0.6369 1.0593 1.0292
No log 4.6875 300 1.0398 0.6369 1.0398 1.0197
No log 4.7188 302 1.0210 0.6369 1.0210 1.0104
No log 4.75 304 1.2079 0.6101 1.2079 1.0991
No log 4.7812 306 1.3592 0.5928 1.3592 1.1658
No log 4.8125 308 1.3307 0.6015 1.3307 1.1535
No log 4.8438 310 1.1701 0.6168 1.1701 1.0817
No log 4.875 312 0.9483 0.6341 0.9483 0.9738
No log 4.9062 314 0.7872 0.6504 0.7872 0.8873
No log 4.9375 316 0.7791 0.6527 0.7791 0.8827
No log 4.9688 318 0.8665 0.6172 0.8665 0.9309
No log 5.0 320 1.1381 0.6168 1.1381 1.0668
No log 5.0312 322 1.5407 0.5537 1.5407 1.2413
No log 5.0625 324 1.6513 0.5073 1.6513 1.2850
No log 5.0938 326 1.5009 0.5749 1.5009 1.2251
No log 5.125 328 1.1772 0.6168 1.1772 1.0850
No log 5.1562 330 0.8820 0.6290 0.8820 0.9391
No log 5.1875 332 0.7941 0.6323 0.7941 0.8911
No log 5.2188 334 0.8272 0.6418 0.8272 0.9095
No log 5.25 336 0.9875 0.6344 0.9875 0.9937
No log 5.2812 338 1.2230 0.6168 1.2230 1.1059
No log 5.3125 340 1.3830 0.6011 1.3830 1.1760
No log 5.3438 342 1.3989 0.5961 1.3989 1.1828
No log 5.375 344 1.3165 0.6172 1.3165 1.1474
No log 5.4062 346 1.2402 0.6260 1.2402 1.1136
No log 5.4375 348 1.1952 0.6260 1.1952 1.0933
No log 5.4688 350 1.2268 0.6260 1.2268 1.1076
No log 5.5 352 1.2556 0.6221 1.2556 1.1206
No log 5.5312 354 1.2466 0.6221 1.2466 1.1165
No log 5.5625 356 1.1642 0.6246 1.1642 1.0790
No log 5.5938 358 1.1264 0.6246 1.1264 1.0613
No log 5.625 360 1.2318 0.6125 1.2318 1.1099
No log 5.6562 362 1.3073 0.5943 1.3073 1.1434
No log 5.6875 364 1.3127 0.5922 1.3127 1.1457
No log 5.7188 366 1.3236 0.6066 1.3236 1.1505
No log 5.75 368 1.2418 0.6139 1.2418 1.1143
No log 5.7812 370 1.2082 0.6125 1.2082 1.0992
No log 5.8125 372 1.3124 0.5883 1.3124 1.1456
No log 5.8438 374 1.3393 0.5866 1.3393 1.1573
No log 5.875 376 1.2450 0.5817 1.2450 1.1158
No log 5.9062 378 1.0703 0.6150 1.0703 1.0346
No log 5.9375 380 0.9686 0.6478 0.9686 0.9842
No log 5.9688 382 0.9287 0.6486 0.9287 0.9637
No log 6.0 384 0.9949 0.6403 0.9949 0.9974
No log 6.0312 386 1.1766 0.6182 1.1766 1.0847
No log 6.0625 388 1.2828 0.6104 1.2828 1.1326
No log 6.0938 390 1.3036 0.6202 1.3036 1.1418
No log 6.125 392 1.2039 0.6264 1.2039 1.0972
No log 6.1562 394 0.9935 0.6405 0.9935 0.9967
No log 6.1875 396 0.8398 0.6661 0.8398 0.9164
No log 6.2188 398 0.8149 0.6573 0.8149 0.9027
No log 6.25 400 0.8750 0.6603 0.8750 0.9354
No log 6.2812 402 1.0149 0.6419 1.0149 1.0074
No log 6.3125 404 1.1864 0.6367 1.1864 1.0892
No log 6.3438 406 1.2443 0.6329 1.2443 1.1155
No log 6.375 408 1.1323 0.6475 1.1323 1.0641
No log 6.4062 410 0.9420 0.6500 0.9420 0.9706
No log 6.4375 412 0.8140 0.6686 0.8140 0.9022
No log 6.4688 414 0.8067 0.6642 0.8067 0.8982
No log 6.5 416 0.8942 0.6504 0.8942 0.9456
No log 6.5312 418 1.0095 0.6226 1.0095 1.0048
No log 6.5625 420 1.0573 0.6172 1.0573 1.0282
No log 6.5938 422 1.0084 0.6244 1.0084 1.0042
No log 6.625 424 0.9150 0.6421 0.9150 0.9566
No log 6.6562 426 0.8752 0.6461 0.8752 0.9355
No log 6.6875 428 0.8616 0.6398 0.8616 0.9282
No log 6.7188 430 0.8854 0.6402 0.8854 0.9409
No log 6.75 432 0.9746 0.6121 0.9746 0.9872
No log 6.7812 434 1.0722 0.6141 1.0722 1.0355
No log 6.8125 436 1.1308 0.6225 1.1308 1.0634
No log 6.8438 438 1.1145 0.6239 1.1145 1.0557
No log 6.875 440 1.0469 0.6193 1.0469 1.0232
No log 6.9062 442 1.0167 0.6193 1.0167 1.0083
No log 6.9375 444 1.0792 0.6251 1.0792 1.0388
No log 6.9688 446 1.1554 0.6116 1.1554 1.0749
No log 7.0 448 1.2810 0.6096 1.2810 1.1318
No log 7.0312 450 1.3488 0.5805 1.3488 1.1614
No log 7.0625 452 1.3039 0.5837 1.3039 1.1419
No log 7.0938 454 1.2131 0.6077 1.2131 1.1014
No log 7.125 456 1.1408 0.6141 1.1408 1.0681
No log 7.1562 458 1.1098 0.6106 1.1098 1.0535
No log 7.1875 460 1.1649 0.6199 1.1649 1.0793
No log 7.2188 462 1.2830 0.5984 1.2830 1.1327
No log 7.25 464 1.4596 0.5454 1.4596 1.2081
No log 7.2812 466 1.5450 0.5490 1.5450 1.2430
No log 7.3125 468 1.4895 0.5454 1.4895 1.2205
No log 7.3438 470 1.3230 0.5728 1.3230 1.1502
No log 7.375 472 1.2003 0.5897 1.2003 1.0956
No log 7.4062 474 1.1576 0.5919 1.1576 1.0759
No log 7.4375 476 1.2018 0.5858 1.2018 1.0963
No log 7.4688 478 1.3196 0.5689 1.3196 1.1487
No log 7.5 480 1.4170 0.5553 1.4170 1.1904
No log 7.5312 482 1.5137 0.5408 1.5137 1.2303
No log 7.5625 484 1.5150 0.5346 1.5150 1.2308
No log 7.5938 486 1.4082 0.5610 1.4082 1.1867
No log 7.625 488 1.2933 0.5984 1.2933 1.1372
No log 7.6562 490 1.2485 0.6131 1.2485 1.1174
No log 7.6875 492 1.2705 0.6131 1.2705 1.1272
No log 7.7188 494 1.3179 0.5984 1.3179 1.1480
No log 7.75 496 1.2926 0.5876 1.2926 1.1369
No log 7.7812 498 1.2656 0.5876 1.2656 1.1250
0.3479 7.8125 500 1.2487 0.5858 1.2487 1.1175
0.3479 7.8438 502 1.2729 0.5818 1.2729 1.1282
0.3479 7.875 504 1.3188 0.5738 1.3188 1.1484
0.3479 7.9062 506 1.3088 0.5738 1.3088 1.1440
0.3479 7.9375 508 1.2593 0.5818 1.2593 1.1222
0.3479 7.9688 510 1.1707 0.6013 1.1707 1.0820
0.3479 8.0 512 1.1376 0.5923 1.1376 1.0666
0.3479 8.0312 514 1.1755 0.6013 1.1755 1.0842
0.3479 8.0625 516 1.1871 0.6030 1.1871 1.0895
0.3479 8.0938 518 1.1691 0.6030 1.1691 1.0812
0.3479 8.125 520 1.1044 0.6141 1.1044 1.0509
0.3479 8.1562 522 1.0673 0.6251 1.0673 1.0331
0.3479 8.1875 524 1.0750 0.6251 1.0750 1.0368
0.3479 8.2188 526 1.1372 0.6239 1.1372 1.0664
0.3479 8.25 528 1.2373 0.6277 1.2373 1.1123
0.3479 8.2812 530 1.2959 0.6172 1.2959 1.1384
0.3479 8.3125 532 1.3098 0.6066 1.3098 1.1445
0.3479 8.3438 534 1.2706 0.6066 1.2706 1.1272
0.3479 8.375 536 1.2133 0.6131 1.2133 1.1015
0.3479 8.4062 538 1.1389 0.6030 1.1389 1.0672
0.3479 8.4375 540 1.0683 0.6049 1.0683 1.0336
0.3479 8.4688 542 1.0074 0.6036 1.0074 1.0037
0.3479 8.5 544 0.9950 0.6036 0.9950 0.9975
0.3479 8.5312 546 1.0236 0.5937 1.0236 1.0118
0.3479 8.5625 548 1.0749 0.6037 1.0749 1.0368
0.3479 8.5938 550 1.1385 0.6030 1.1385 1.0670
0.3479 8.625 552 1.1812 0.6046 1.1812 1.0868
0.3479 8.6562 554 1.2318 0.6131 1.2318 1.1099
0.3479 8.6875 556 1.2570 0.6131 1.2570 1.1212
0.3479 8.7188 558 1.2639 0.6131 1.2639 1.1242
0.3479 8.75 560 1.2602 0.6131 1.2602 1.1226
0.3479 8.7812 562 1.2245 0.6131 1.2245 1.1066
0.3479 8.8125 564 1.1969 0.6046 1.1969 1.0941
0.3479 8.8438 566 1.1691 0.6046 1.1691 1.0813
0.3479 8.875 568 1.1531 0.6155 1.1531 1.0738
0.3479 8.9062 570 1.1399 0.6155 1.1399 1.0677
0.3479 8.9375 572 1.1289 0.6155 1.1289 1.0625
0.3479 8.9688 574 1.1313 0.6155 1.1313 1.0636
0.3479 9.0 576 1.1411 0.6155 1.1411 1.0682
0.3479 9.0312 578 1.1441 0.6155 1.1441 1.0696
0.3479 9.0625 580 1.1370 0.6141 1.1370 1.0663
0.3479 9.0938 582 1.1407 0.6141 1.1407 1.0680
0.3479 9.125 584 1.1388 0.6141 1.1388 1.0671
0.3479 9.1562 586 1.1399 0.6141 1.1399 1.0677
0.3479 9.1875 588 1.1449 0.6141 1.1449 1.0700
0.3479 9.2188 590 1.1404 0.6141 1.1404 1.0679
0.3479 9.25 592 1.1331 0.6141 1.1331 1.0645
0.3479 9.2812 594 1.1449 0.6155 1.1449 1.0700
0.3479 9.3125 596 1.1688 0.6155 1.1688 1.0811
0.3479 9.3438 598 1.1997 0.6155 1.1997 1.0953
0.3479 9.375 600 1.2227 0.6277 1.2227 1.1058
0.3479 9.4062 602 1.2430 0.6277 1.2430 1.1149
0.3479 9.4375 604 1.2534 0.6277 1.2534 1.1195
0.3479 9.4688 606 1.2643 0.6277 1.2643 1.1244
0.3479 9.5 608 1.2574 0.6277 1.2574 1.1214
0.3479 9.5312 610 1.2529 0.6277 1.2529 1.1193
0.3479 9.5625 612 1.2382 0.6277 1.2382 1.1128
0.3479 9.5938 614 1.2136 0.6155 1.2136 1.1016
0.3479 9.625 616 1.1871 0.6155 1.1871 1.0895
0.3479 9.6562 618 1.1578 0.6155 1.1578 1.0760
0.3479 9.6875 620 1.1337 0.6141 1.1337 1.0648
0.3479 9.7188 622 1.1239 0.6141 1.1239 1.0602
0.3479 9.75 624 1.1203 0.6141 1.1203 1.0584
0.3479 9.7812 626 1.1180 0.6141 1.1180 1.0574
0.3479 9.8125 628 1.1148 0.6141 1.1148 1.0558
0.3479 9.8438 630 1.1149 0.6141 1.1149 1.0559
0.3479 9.875 632 1.1186 0.6141 1.1186 1.0576
0.3479 9.9062 634 1.1205 0.6141 1.1205 1.0585
0.3479 9.9375 636 1.1233 0.6141 1.1233 1.0599
0.3479 9.9688 638 1.1246 0.6141 1.1246 1.0605
0.3479 10.0 640 1.1255 0.6141 1.1255 1.0609

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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k16_task5_organization

Finetuned
(4023)
this model