Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_style

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: 0.5691
  • Qwk: 0.5934
  • Mse: 0.5691
  • Rmse: 0.7544

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 0.0202 2 4.3227 -0.0076 4.3227 2.0791
No log 0.0404 4 3.3441 0.0382 3.3441 1.8287
No log 0.0606 6 2.0985 0.0954 2.0985 1.4486
No log 0.0808 8 1.0333 0.1558 1.0333 1.0165
No log 0.1010 10 0.9785 0.0674 0.9785 0.9892
No log 0.1212 12 1.1256 0.0217 1.1256 1.0610
No log 0.1414 14 1.0783 0.0335 1.0783 1.0384
No log 0.1616 16 1.0217 0.0369 1.0217 1.0108
No log 0.1818 18 0.8597 0.0521 0.8597 0.9272
No log 0.2020 20 0.7914 0.3960 0.7914 0.8896
No log 0.2222 22 0.7767 0.3927 0.7767 0.8813
No log 0.2424 24 0.7361 0.3352 0.7361 0.8579
No log 0.2626 26 0.7923 0.1627 0.7923 0.8901
No log 0.2828 28 0.9069 0.2643 0.9069 0.9523
No log 0.3030 30 0.9257 0.3637 0.9257 0.9621
No log 0.3232 32 0.8165 0.3388 0.8165 0.9036
No log 0.3434 34 0.6222 0.4287 0.6222 0.7888
No log 0.3636 36 0.6558 0.4753 0.6558 0.8098
No log 0.3838 38 0.8271 0.4929 0.8271 0.9094
No log 0.4040 40 0.7103 0.4946 0.7103 0.8428
No log 0.4242 42 0.5704 0.5378 0.5704 0.7553
No log 0.4444 44 0.6903 0.3934 0.6903 0.8308
No log 0.4646 46 0.8405 0.3595 0.8405 0.9168
No log 0.4848 48 0.8106 0.3798 0.8106 0.9004
No log 0.5051 50 0.6715 0.4954 0.6715 0.8195
No log 0.5253 52 0.6224 0.5983 0.6224 0.7889
No log 0.5455 54 0.5985 0.5916 0.5985 0.7737
No log 0.5657 56 0.6678 0.4897 0.6678 0.8172
No log 0.5859 58 0.7085 0.3478 0.7085 0.8417
No log 0.6061 60 0.6377 0.3655 0.6377 0.7985
No log 0.6263 62 0.5574 0.5211 0.5574 0.7466
No log 0.6465 64 0.5220 0.5762 0.5220 0.7225
No log 0.6667 66 0.5125 0.6235 0.5125 0.7159
No log 0.6869 68 0.6175 0.5939 0.6175 0.7858
No log 0.7071 70 0.8685 0.4753 0.8685 0.9319
No log 0.7273 72 0.9142 0.4615 0.9142 0.9562
No log 0.7475 74 0.7465 0.5525 0.7465 0.8640
No log 0.7677 76 0.7036 0.5645 0.7036 0.8388
No log 0.7879 78 0.6430 0.6032 0.6430 0.8019
No log 0.8081 80 0.6659 0.5375 0.6659 0.8160
No log 0.8283 82 0.6573 0.4816 0.6573 0.8107
No log 0.8485 84 0.5860 0.5350 0.5860 0.7655
No log 0.8687 86 0.5704 0.5408 0.5704 0.7552
No log 0.8889 88 0.5770 0.5211 0.5770 0.7596
No log 0.9091 90 0.6026 0.4672 0.6026 0.7763
No log 0.9293 92 0.7363 0.3651 0.7363 0.8581
No log 0.9495 94 0.7383 0.2972 0.7383 0.8592
No log 0.9697 96 0.5971 0.5644 0.5971 0.7727
No log 0.9899 98 0.5701 0.5462 0.5701 0.7551
No log 1.0101 100 0.5929 0.5615 0.5929 0.7700
No log 1.0303 102 0.5784 0.5788 0.5784 0.7605
No log 1.0505 104 0.8489 0.4259 0.8489 0.9214
No log 1.0707 106 0.9222 0.4096 0.9222 0.9603
No log 1.0909 108 0.7488 0.5165 0.7488 0.8653
No log 1.1111 110 0.5634 0.6133 0.5634 0.7506
No log 1.1313 112 0.5388 0.6289 0.5388 0.7340
No log 1.1515 114 0.5292 0.5817 0.5292 0.7275
No log 1.1717 116 0.6410 0.4290 0.6410 0.8006
No log 1.1919 118 0.7270 0.3362 0.7270 0.8526
No log 1.2121 120 0.7174 0.3499 0.7174 0.8470
No log 1.2323 122 0.6384 0.4166 0.6384 0.7990
No log 1.2525 124 0.5768 0.4900 0.5768 0.7595
No log 1.2727 126 0.5918 0.4689 0.5918 0.7693
No log 1.2929 128 0.6255 0.4107 0.6255 0.7909
No log 1.3131 130 0.6855 0.4140 0.6855 0.8280
No log 1.3333 132 0.7496 0.4062 0.7496 0.8658
No log 1.3535 134 0.6520 0.5457 0.6520 0.8075
No log 1.3737 136 0.5287 0.6302 0.5287 0.7271
No log 1.3939 138 0.5653 0.5930 0.5653 0.7519
No log 1.4141 140 0.5424 0.6368 0.5424 0.7365
No log 1.4343 142 0.6257 0.6163 0.6257 0.7910
No log 1.4545 144 0.9229 0.4740 0.9229 0.9607
No log 1.4747 146 0.9626 0.4129 0.9626 0.9811
No log 1.4949 148 0.8675 0.3682 0.8675 0.9314
No log 1.5152 150 0.8801 0.2882 0.8801 0.9381
No log 1.5354 152 0.8192 0.3050 0.8192 0.9051
No log 1.5556 154 0.7076 0.3616 0.7076 0.8412
No log 1.5758 156 0.6195 0.4366 0.6195 0.7871
No log 1.5960 158 0.5819 0.5847 0.5819 0.7628
No log 1.6162 160 0.5775 0.6515 0.5775 0.7599
No log 1.6364 162 0.6608 0.6197 0.6608 0.8129
No log 1.6566 164 0.7693 0.5788 0.7693 0.8771
No log 1.6768 166 0.7804 0.5864 0.7804 0.8834
No log 1.6970 168 0.6908 0.6237 0.6908 0.8311
No log 1.7172 170 0.6364 0.6200 0.6364 0.7977
No log 1.7374 172 0.5606 0.6180 0.5606 0.7487
No log 1.7576 174 0.5387 0.6213 0.5387 0.7339
No log 1.7778 176 0.5461 0.6376 0.5461 0.7390
No log 1.7980 178 0.5569 0.6289 0.5569 0.7462
No log 1.8182 180 0.6621 0.5448 0.6621 0.8137
No log 1.8384 182 0.9491 0.4308 0.9491 0.9742
No log 1.8586 184 1.1170 0.3868 1.1170 1.0569
No log 1.8788 186 1.0276 0.4114 1.0276 1.0137
No log 1.8990 188 0.8119 0.4457 0.8119 0.9010
No log 1.9192 190 0.5863 0.5680 0.5863 0.7657
No log 1.9394 192 0.5041 0.6458 0.5041 0.7100
No log 1.9596 194 0.5001 0.6036 0.5001 0.7072
No log 1.9798 196 0.4987 0.6188 0.4987 0.7062
No log 2.0 198 0.6112 0.5217 0.6112 0.7818
No log 2.0202 200 0.8518 0.4263 0.8518 0.9229
No log 2.0404 202 0.9952 0.4017 0.9952 0.9976
No log 2.0606 204 1.0115 0.4025 1.0115 1.0057
No log 2.0808 206 0.8517 0.4047 0.8517 0.9229
No log 2.1010 208 0.6378 0.5148 0.6378 0.7986
No log 2.1212 210 0.5423 0.6080 0.5423 0.7364
No log 2.1414 212 0.5301 0.6226 0.5301 0.7281
No log 2.1616 214 0.5391 0.6306 0.5391 0.7342
No log 2.1818 216 0.5636 0.6278 0.5636 0.7507
No log 2.2020 218 0.6132 0.5218 0.6132 0.7831
No log 2.2222 220 0.6496 0.5393 0.6496 0.8060
No log 2.2424 222 0.6348 0.5798 0.6348 0.7968
No log 2.2626 224 0.6422 0.5727 0.6422 0.8014
No log 2.2828 226 0.5769 0.6163 0.5769 0.7595
No log 2.3030 228 0.5454 0.6383 0.5454 0.7385
No log 2.3232 230 0.5983 0.6179 0.5983 0.7735
No log 2.3434 232 0.6365 0.5899 0.6365 0.7978
No log 2.3636 234 0.7032 0.5715 0.7032 0.8386
No log 2.3838 236 0.6467 0.6055 0.6467 0.8042
No log 2.4040 238 0.6618 0.5570 0.6618 0.8135
No log 2.4242 240 0.7326 0.5313 0.7326 0.8559
No log 2.4444 242 0.7653 0.5062 0.7653 0.8748
No log 2.4646 244 0.7849 0.5098 0.7849 0.8859
No log 2.4848 246 0.8622 0.5059 0.8622 0.9285
No log 2.5051 248 0.6836 0.5651 0.6836 0.8268
No log 2.5253 250 0.5455 0.6528 0.5455 0.7386
No log 2.5455 252 0.5205 0.7104 0.5205 0.7215
No log 2.5657 254 0.5215 0.6931 0.5215 0.7222
No log 2.5859 256 0.6165 0.5772 0.6165 0.7852
No log 2.6061 258 0.5917 0.5789 0.5917 0.7692
No log 2.6263 260 0.5687 0.6056 0.5687 0.7541
No log 2.6465 262 0.5365 0.6648 0.5365 0.7324
No log 2.6667 264 0.5402 0.6674 0.5402 0.7350
No log 2.6869 266 0.5750 0.6219 0.5750 0.7583
No log 2.7071 268 0.5831 0.6213 0.5831 0.7636
No log 2.7273 270 0.5139 0.6493 0.5139 0.7168
No log 2.7475 272 0.5196 0.6633 0.5196 0.7209
No log 2.7677 274 0.5262 0.6585 0.5262 0.7254
No log 2.7879 276 0.5101 0.6615 0.5101 0.7142
No log 2.8081 278 0.5417 0.6379 0.5417 0.7360
No log 2.8283 280 0.6072 0.6038 0.6072 0.7793
No log 2.8485 282 0.7814 0.5119 0.7814 0.8839
No log 2.8687 284 0.8375 0.4621 0.8375 0.9152
No log 2.8889 286 0.7040 0.4843 0.7040 0.8390
No log 2.9091 288 0.5452 0.5967 0.5452 0.7384
No log 2.9293 290 0.5068 0.6396 0.5068 0.7119
No log 2.9495 292 0.5138 0.6217 0.5138 0.7168
No log 2.9697 294 0.4974 0.6450 0.4974 0.7053
No log 2.9899 296 0.5627 0.5746 0.5627 0.7502
No log 3.0101 298 0.7295 0.5013 0.7295 0.8541
No log 3.0303 300 0.8356 0.5049 0.8356 0.9141
No log 3.0505 302 0.7753 0.5118 0.7753 0.8805
No log 3.0707 304 0.6846 0.5536 0.6846 0.8274
No log 3.0909 306 0.5385 0.6199 0.5385 0.7338
No log 3.1111 308 0.5071 0.6561 0.5071 0.7121
No log 3.1313 310 0.5143 0.6647 0.5143 0.7172
No log 3.1515 312 0.5466 0.6369 0.5466 0.7393
No log 3.1717 314 0.7019 0.5511 0.7019 0.8378
No log 3.1919 316 0.7837 0.4970 0.7837 0.8853
No log 3.2121 318 0.7284 0.5002 0.7284 0.8535
No log 3.2323 320 0.6626 0.4889 0.6626 0.8140
No log 3.2525 322 0.6234 0.5464 0.6234 0.7896
No log 3.2727 324 0.5535 0.6353 0.5535 0.7440
No log 3.2929 326 0.5547 0.6518 0.5547 0.7448
No log 3.3131 328 0.5456 0.6543 0.5456 0.7386
No log 3.3333 330 0.5715 0.6091 0.5715 0.7560
No log 3.3535 332 0.7431 0.5692 0.7431 0.8620
No log 3.3737 334 0.8491 0.5427 0.8491 0.9214
No log 3.3939 336 0.7505 0.5756 0.7505 0.8663
No log 3.4141 338 0.6251 0.6375 0.6251 0.7907
No log 3.4343 340 0.6228 0.6379 0.6228 0.7892
No log 3.4545 342 0.7063 0.5736 0.7063 0.8404
No log 3.4747 344 0.7545 0.5069 0.7545 0.8686
No log 3.4949 346 0.6721 0.5250 0.6721 0.8198
No log 3.5152 348 0.5940 0.5858 0.5940 0.7707
No log 3.5354 350 0.5540 0.6158 0.5540 0.7443
No log 3.5556 352 0.4976 0.6233 0.4976 0.7054
No log 3.5758 354 0.4931 0.6618 0.4931 0.7022
No log 3.5960 356 0.5244 0.6686 0.5244 0.7241
No log 3.6162 358 0.6516 0.5930 0.6516 0.8072
No log 3.6364 360 0.7216 0.5860 0.7216 0.8495
No log 3.6566 362 0.7013 0.5851 0.7013 0.8374
No log 3.6768 364 0.6782 0.6190 0.6782 0.8235
No log 3.6970 366 0.5630 0.6564 0.5630 0.7503
No log 3.7172 368 0.5299 0.6753 0.5299 0.7279
No log 3.7374 370 0.5338 0.6586 0.5338 0.7306
No log 3.7576 372 0.5443 0.6242 0.5443 0.7378
No log 3.7778 374 0.5804 0.5983 0.5804 0.7618
No log 3.7980 376 0.6050 0.5953 0.6050 0.7778
No log 3.8182 378 0.5503 0.6399 0.5503 0.7418
No log 3.8384 380 0.4983 0.6654 0.4983 0.7059
No log 3.8586 382 0.4848 0.6469 0.4848 0.6963
No log 3.8788 384 0.5111 0.6280 0.5111 0.7149
No log 3.8990 386 0.5853 0.5841 0.5853 0.7651
No log 3.9192 388 0.6641 0.5336 0.6641 0.8150
No log 3.9394 390 0.6720 0.5475 0.6720 0.8197
No log 3.9596 392 0.5882 0.6217 0.5882 0.7669
No log 3.9798 394 0.5329 0.6749 0.5329 0.7300
No log 4.0 396 0.5446 0.6623 0.5446 0.7380
No log 4.0202 398 0.5276 0.6637 0.5276 0.7264
No log 4.0404 400 0.5509 0.6534 0.5509 0.7422
No log 4.0606 402 0.5937 0.6243 0.5937 0.7705
No log 4.0808 404 0.5930 0.6052 0.5930 0.7700
No log 4.1010 406 0.5499 0.6457 0.5499 0.7416
No log 4.1212 408 0.5322 0.6796 0.5322 0.7295
No log 4.1414 410 0.5445 0.6366 0.5445 0.7379
No log 4.1616 412 0.5389 0.6413 0.5389 0.7341
No log 4.1818 414 0.5292 0.6136 0.5292 0.7275
No log 4.2020 416 0.5515 0.6118 0.5515 0.7427
No log 4.2222 418 0.5571 0.6003 0.5571 0.7464
No log 4.2424 420 0.5783 0.6083 0.5783 0.7605
No log 4.2626 422 0.6579 0.5266 0.6579 0.8111
No log 4.2828 424 0.7728 0.4997 0.7728 0.8791
No log 4.3030 426 0.8254 0.5064 0.8254 0.9085
No log 4.3232 428 0.6786 0.5913 0.6786 0.8238
No log 4.3434 430 0.6127 0.6620 0.6127 0.7828
No log 4.3636 432 0.5379 0.6827 0.5379 0.7334
No log 4.3838 434 0.5790 0.6308 0.5790 0.7609
No log 4.4040 436 0.7856 0.5031 0.7856 0.8863
No log 4.4242 438 1.0101 0.4137 1.0101 1.0050
No log 4.4444 440 0.9490 0.4196 0.9490 0.9742
No log 4.4646 442 0.6945 0.5454 0.6945 0.8333
No log 4.4848 444 0.4930 0.6505 0.4930 0.7022
No log 4.5051 446 0.4982 0.6436 0.4982 0.7058
No log 4.5253 448 0.4962 0.6387 0.4962 0.7044
No log 4.5455 450 0.4992 0.6301 0.4992 0.7066
No log 4.5657 452 0.5726 0.6390 0.5726 0.7567
No log 4.5859 454 0.6681 0.6146 0.6681 0.8174
No log 4.6061 456 0.6627 0.5674 0.6627 0.8141
No log 4.6263 458 0.6111 0.6073 0.6111 0.7817
No log 4.6465 460 0.5460 0.6625 0.5460 0.7389
No log 4.6667 462 0.5326 0.6865 0.5326 0.7298
No log 4.6869 464 0.5196 0.6822 0.5196 0.7208
No log 4.7071 466 0.5701 0.6151 0.5701 0.7550
No log 4.7273 468 0.5705 0.6115 0.5705 0.7553
No log 4.7475 470 0.5705 0.5856 0.5705 0.7553
No log 4.7677 472 0.6239 0.5577 0.6239 0.7898
No log 4.7879 474 0.8004 0.5118 0.8004 0.8946
No log 4.8081 476 0.9206 0.4838 0.9206 0.9595
No log 4.8283 478 0.8521 0.5289 0.8521 0.9231
No log 4.8485 480 0.7690 0.6133 0.7690 0.8769
No log 4.8687 482 0.6569 0.6158 0.6569 0.8105
No log 4.8889 484 0.5814 0.6426 0.5814 0.7625
No log 4.9091 486 0.5785 0.6212 0.5785 0.7606
No log 4.9293 488 0.6568 0.5166 0.6568 0.8104
No log 4.9495 490 0.6658 0.5226 0.6658 0.8159
No log 4.9697 492 0.6055 0.5284 0.6055 0.7782
No log 4.9899 494 0.5939 0.5511 0.5939 0.7706
No log 5.0101 496 0.5528 0.5822 0.5528 0.7435
No log 5.0303 498 0.5732 0.5964 0.5732 0.7571
0.4876 5.0505 500 0.6873 0.6186 0.6873 0.8290
0.4876 5.0707 502 0.8884 0.6061 0.8884 0.9426
0.4876 5.0909 504 0.8593 0.6336 0.8593 0.9270
0.4876 5.1111 506 0.8956 0.6180 0.8956 0.9464
0.4876 5.1313 508 0.7881 0.6336 0.7881 0.8877
0.4876 5.1515 510 0.5734 0.6585 0.5734 0.7572
0.4876 5.1717 512 0.4950 0.6904 0.4950 0.7036
0.4876 5.1919 514 0.5015 0.6835 0.5015 0.7081
0.4876 5.2121 516 0.5933 0.6268 0.5933 0.7703
0.4876 5.2323 518 0.7506 0.5706 0.7506 0.8663
0.4876 5.2525 520 0.7081 0.6079 0.7081 0.8415
0.4876 5.2727 522 0.5472 0.6717 0.5472 0.7397
0.4876 5.2929 524 0.5032 0.6665 0.5032 0.7094
0.4876 5.3131 526 0.4883 0.6676 0.4883 0.6988
0.4876 5.3333 528 0.5352 0.6655 0.5352 0.7316
0.4876 5.3535 530 0.7012 0.5468 0.7012 0.8374
0.4876 5.3737 532 0.7671 0.5028 0.7671 0.8758
0.4876 5.3939 534 0.6626 0.5728 0.6626 0.8140
0.4876 5.4141 536 0.5954 0.6111 0.5954 0.7716
0.4876 5.4343 538 0.5575 0.6613 0.5575 0.7467
0.4876 5.4545 540 0.5687 0.6405 0.5687 0.7541
0.4876 5.4747 542 0.6631 0.6029 0.6631 0.8143
0.4876 5.4949 544 0.8537 0.5212 0.8537 0.9240
0.4876 5.5152 546 0.8623 0.5287 0.8623 0.9286
0.4876 5.5354 548 0.7179 0.5904 0.7179 0.8473
0.4876 5.5556 550 0.5310 0.6952 0.5310 0.7287
0.4876 5.5758 552 0.5100 0.6914 0.5100 0.7142
0.4876 5.5960 554 0.5379 0.6800 0.5379 0.7334
0.4876 5.6162 556 0.6673 0.5900 0.6673 0.8169
0.4876 5.6364 558 0.8003 0.5491 0.8003 0.8946
0.4876 5.6566 560 0.7417 0.5467 0.7417 0.8612
0.4876 5.6768 562 0.6314 0.5719 0.6314 0.7946
0.4876 5.6970 564 0.5691 0.5934 0.5691 0.7544

Framework versions

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