ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k9_task3_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: 0.5814
- Qwk: 0.3295
- Mse: 0.5814
- Rmse: 0.7625
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 | 0.0465 | 2 | 3.2912 | -0.0149 | 3.2912 | 1.8142 |
| No log | 0.0930 | 4 | 1.5681 | 0.0255 | 1.5681 | 1.2522 |
| No log | 0.1395 | 6 | 0.9329 | 0.0947 | 0.9329 | 0.9659 |
| No log | 0.1860 | 8 | 0.6913 | 0.1724 | 0.6913 | 0.8314 |
| No log | 0.2326 | 10 | 0.5917 | 0.1111 | 0.5917 | 0.7692 |
| No log | 0.2791 | 12 | 0.7840 | 0.0515 | 0.7840 | 0.8854 |
| No log | 0.3256 | 14 | 1.0015 | 0.1130 | 1.0015 | 1.0007 |
| No log | 0.3721 | 16 | 0.9975 | 0.0916 | 0.9975 | 0.9987 |
| No log | 0.4186 | 18 | 0.7145 | 0.1345 | 0.7145 | 0.8453 |
| No log | 0.4651 | 20 | 0.6284 | 0.0145 | 0.6284 | 0.7927 |
| No log | 0.5116 | 22 | 0.7303 | 0.2000 | 0.7303 | 0.8546 |
| No log | 0.5581 | 24 | 0.6570 | 0.1638 | 0.6570 | 0.8106 |
| No log | 0.6047 | 26 | 0.6204 | 0.1698 | 0.6204 | 0.7877 |
| No log | 0.6512 | 28 | 0.5529 | 0.0303 | 0.5529 | 0.7435 |
| No log | 0.6977 | 30 | 0.5899 | 0.0476 | 0.5899 | 0.7681 |
| No log | 0.7442 | 32 | 0.5793 | 0.0400 | 0.5793 | 0.7611 |
| No log | 0.7907 | 34 | 0.6246 | 0.1186 | 0.6246 | 0.7903 |
| No log | 0.8372 | 36 | 0.5966 | 0.2099 | 0.5966 | 0.7724 |
| No log | 0.8837 | 38 | 0.6097 | 0.2000 | 0.6097 | 0.7808 |
| No log | 0.9302 | 40 | 0.9054 | 0.1453 | 0.9054 | 0.9515 |
| No log | 0.9767 | 42 | 0.6096 | 0.1698 | 0.6096 | 0.7807 |
| No log | 1.0233 | 44 | 0.5652 | 0.0638 | 0.5652 | 0.7518 |
| No log | 1.0698 | 46 | 0.5397 | -0.0303 | 0.5397 | 0.7346 |
| No log | 1.1163 | 48 | 0.6348 | 0.1813 | 0.6348 | 0.7967 |
| No log | 1.1628 | 50 | 0.5946 | 0.1195 | 0.5946 | 0.7711 |
| No log | 1.2093 | 52 | 0.6040 | 0.1781 | 0.6040 | 0.7772 |
| No log | 1.2558 | 54 | 0.6430 | 0.1888 | 0.6430 | 0.8019 |
| No log | 1.3023 | 56 | 0.5712 | 0.2195 | 0.5712 | 0.7557 |
| No log | 1.3488 | 58 | 0.9290 | 0.1453 | 0.9290 | 0.9639 |
| No log | 1.3953 | 60 | 1.2297 | 0.0638 | 1.2297 | 1.1089 |
| No log | 1.4419 | 62 | 0.9566 | 0.0947 | 0.9566 | 0.9780 |
| No log | 1.4884 | 64 | 0.5178 | 0.1484 | 0.5178 | 0.7195 |
| No log | 1.5349 | 66 | 0.5247 | 0.1045 | 0.5247 | 0.7243 |
| No log | 1.5814 | 68 | 0.5213 | 0.1888 | 0.5213 | 0.7220 |
| No log | 1.6279 | 70 | 0.5719 | 0.0850 | 0.5719 | 0.7563 |
| No log | 1.6744 | 72 | 0.9639 | 0.2066 | 0.9639 | 0.9818 |
| No log | 1.7209 | 74 | 0.8779 | 0.2356 | 0.8779 | 0.9370 |
| No log | 1.7674 | 76 | 0.6020 | 0.1329 | 0.6020 | 0.7759 |
| No log | 1.8140 | 78 | 0.7606 | 0.2308 | 0.7606 | 0.8721 |
| No log | 1.8605 | 80 | 0.7239 | 0.2318 | 0.7239 | 0.8508 |
| No log | 1.9070 | 82 | 0.6304 | 0.0123 | 0.6304 | 0.7940 |
| No log | 1.9535 | 84 | 0.7414 | 0.1919 | 0.7414 | 0.8610 |
| No log | 2.0 | 86 | 0.6801 | 0.1038 | 0.6801 | 0.8247 |
| No log | 2.0465 | 88 | 0.5801 | 0.1902 | 0.5801 | 0.7616 |
| No log | 2.0930 | 90 | 0.5706 | 0.2000 | 0.5706 | 0.7554 |
| No log | 2.1395 | 92 | 0.6545 | 0.2208 | 0.6545 | 0.8090 |
| No log | 2.1860 | 94 | 0.6512 | 0.1698 | 0.6512 | 0.8070 |
| No log | 2.2326 | 96 | 0.6403 | 0.1285 | 0.6403 | 0.8002 |
| No log | 2.2791 | 98 | 0.6642 | 0.0703 | 0.6642 | 0.8150 |
| No log | 2.3256 | 100 | 0.6637 | 0.1285 | 0.6637 | 0.8147 |
| No log | 2.3721 | 102 | 0.6713 | 0.1364 | 0.6713 | 0.8194 |
| No log | 2.4186 | 104 | 0.7372 | 0.2487 | 0.7372 | 0.8586 |
| No log | 2.4651 | 106 | 1.0951 | 0.1032 | 1.0951 | 1.0465 |
| No log | 2.5116 | 108 | 0.8766 | 0.1130 | 0.8766 | 0.9362 |
| No log | 2.5581 | 110 | 0.5900 | 0.3149 | 0.5900 | 0.7681 |
| No log | 2.6047 | 112 | 0.5854 | 0.3846 | 0.5854 | 0.7651 |
| No log | 2.6512 | 114 | 1.0422 | 0.1293 | 1.0422 | 1.0209 |
| No log | 2.6977 | 116 | 1.2516 | 0.0541 | 1.2516 | 1.1187 |
| No log | 2.7442 | 118 | 0.7832 | 0.2475 | 0.7832 | 0.8850 |
| No log | 2.7907 | 120 | 0.7037 | 0.3116 | 0.7037 | 0.8389 |
| No log | 2.8372 | 122 | 0.8122 | 0.2000 | 0.8122 | 0.9012 |
| No log | 2.8837 | 124 | 0.5859 | 0.2917 | 0.5859 | 0.7654 |
| No log | 2.9302 | 126 | 0.7198 | 0.2077 | 0.7198 | 0.8484 |
| No log | 2.9767 | 128 | 0.7398 | 0.2150 | 0.7398 | 0.8601 |
| No log | 3.0233 | 130 | 0.5462 | 0.2704 | 0.5462 | 0.7391 |
| No log | 3.0698 | 132 | 0.6553 | 0.2577 | 0.6553 | 0.8095 |
| No log | 3.1163 | 134 | 0.8232 | 0.1148 | 0.8232 | 0.9073 |
| No log | 3.1628 | 136 | 0.6344 | 0.1461 | 0.6344 | 0.7965 |
| No log | 3.2093 | 138 | 0.6372 | 0.2832 | 0.6372 | 0.7983 |
| No log | 3.2558 | 140 | 0.6796 | 0.2832 | 0.6796 | 0.8244 |
| No log | 3.3023 | 142 | 0.7857 | 0.1111 | 0.7857 | 0.8864 |
| No log | 3.3488 | 144 | 0.9256 | 0.1930 | 0.9256 | 0.9621 |
| No log | 3.3953 | 146 | 0.7974 | 0.1238 | 0.7974 | 0.8930 |
| No log | 3.4419 | 148 | 0.9119 | 0.1790 | 0.9119 | 0.9550 |
| No log | 3.4884 | 150 | 0.8560 | 0.2511 | 0.8560 | 0.9252 |
| No log | 3.5349 | 152 | 0.6971 | 0.0995 | 0.6971 | 0.8350 |
| No log | 3.5814 | 154 | 0.6997 | 0.1179 | 0.6997 | 0.8365 |
| No log | 3.6279 | 156 | 0.6503 | 0.0802 | 0.6503 | 0.8064 |
| No log | 3.6744 | 158 | 0.9424 | 0.1807 | 0.9424 | 0.9708 |
| No log | 3.7209 | 160 | 1.1884 | 0.1014 | 1.1884 | 1.0901 |
| No log | 3.7674 | 162 | 0.8538 | 0.2793 | 0.8538 | 0.9240 |
| No log | 3.8140 | 164 | 0.6291 | 0.2000 | 0.6291 | 0.7931 |
| No log | 3.8605 | 166 | 0.6249 | 0.2081 | 0.6249 | 0.7905 |
| No log | 3.9070 | 168 | 0.6248 | 0.2914 | 0.6248 | 0.7905 |
| No log | 3.9535 | 170 | 0.9881 | 0.1292 | 0.9881 | 0.9940 |
| No log | 4.0 | 172 | 1.1636 | 0.0791 | 1.1636 | 1.0787 |
| No log | 4.0465 | 174 | 1.0414 | 0.1062 | 1.0414 | 1.0205 |
| No log | 4.0930 | 176 | 0.6733 | 0.2444 | 0.6733 | 0.8205 |
| No log | 4.1395 | 178 | 0.6050 | 0.2350 | 0.6050 | 0.7778 |
| No log | 4.1860 | 180 | 0.6413 | 0.2471 | 0.6413 | 0.8008 |
| No log | 4.2326 | 182 | 0.7136 | 0.3333 | 0.7136 | 0.8447 |
| No log | 4.2791 | 184 | 0.6978 | 0.2967 | 0.6978 | 0.8354 |
| No log | 4.3256 | 186 | 0.8320 | 0.2793 | 0.8320 | 0.9122 |
| No log | 4.3721 | 188 | 0.6549 | 0.2994 | 0.6549 | 0.8092 |
| No log | 4.4186 | 190 | 0.6081 | 0.2780 | 0.6081 | 0.7798 |
| No log | 4.4651 | 192 | 0.6008 | 0.3641 | 0.6008 | 0.7751 |
| No log | 4.5116 | 194 | 0.7236 | 0.2871 | 0.7236 | 0.8507 |
| No log | 4.5581 | 196 | 0.7530 | 0.2830 | 0.7530 | 0.8677 |
| No log | 4.6047 | 198 | 0.6848 | 0.2967 | 0.6848 | 0.8275 |
| No log | 4.6512 | 200 | 0.6430 | 0.3371 | 0.6430 | 0.8019 |
| No log | 4.6977 | 202 | 0.5609 | 0.3333 | 0.5609 | 0.7489 |
| No log | 4.7442 | 204 | 0.5478 | 0.3016 | 0.5478 | 0.7401 |
| No log | 4.7907 | 206 | 0.5672 | 0.3641 | 0.5672 | 0.7532 |
| No log | 4.8372 | 208 | 0.5528 | 0.3089 | 0.5528 | 0.7435 |
| No log | 4.8837 | 210 | 0.5949 | 0.3043 | 0.5949 | 0.7713 |
| No log | 4.9302 | 212 | 0.7872 | 0.3153 | 0.7872 | 0.8872 |
| No log | 4.9767 | 214 | 0.6943 | 0.3846 | 0.6943 | 0.8333 |
| No log | 5.0233 | 216 | 0.6279 | 0.3402 | 0.6279 | 0.7924 |
| No log | 5.0698 | 218 | 0.5839 | 0.3641 | 0.5839 | 0.7641 |
| No log | 5.1163 | 220 | 0.6491 | 0.4234 | 0.6491 | 0.8056 |
| No log | 5.1628 | 222 | 0.6171 | 0.2990 | 0.6171 | 0.7855 |
| No log | 5.2093 | 224 | 0.6860 | 0.3237 | 0.6860 | 0.8282 |
| No log | 5.2558 | 226 | 0.8797 | 0.2389 | 0.8797 | 0.9379 |
| No log | 5.3023 | 228 | 0.7760 | 0.2423 | 0.7760 | 0.8809 |
| No log | 5.3488 | 230 | 0.6104 | 0.3216 | 0.6104 | 0.7813 |
| No log | 5.3953 | 232 | 0.6652 | 0.1837 | 0.6652 | 0.8156 |
| No log | 5.4419 | 234 | 0.6534 | 0.1503 | 0.6534 | 0.8083 |
| No log | 5.4884 | 236 | 0.5699 | 0.2575 | 0.5699 | 0.7549 |
| No log | 5.5349 | 238 | 0.5872 | 0.3253 | 0.5872 | 0.7663 |
| No log | 5.5814 | 240 | 0.5715 | 0.2941 | 0.5715 | 0.7560 |
| No log | 5.6279 | 242 | 0.5837 | 0.3371 | 0.5837 | 0.7640 |
| No log | 5.6744 | 244 | 0.5953 | 0.3371 | 0.5953 | 0.7716 |
| No log | 5.7209 | 246 | 0.6048 | 0.3016 | 0.6048 | 0.7777 |
| No log | 5.7674 | 248 | 0.6119 | 0.3016 | 0.6119 | 0.7823 |
| No log | 5.8140 | 250 | 0.6006 | 0.3016 | 0.6006 | 0.7750 |
| No log | 5.8605 | 252 | 0.6189 | 0.2165 | 0.6189 | 0.7867 |
| No log | 5.9070 | 254 | 0.6143 | 0.1489 | 0.6143 | 0.7838 |
| No log | 5.9535 | 256 | 0.6022 | 0.2421 | 0.6022 | 0.7760 |
| No log | 6.0 | 258 | 0.6037 | 0.3118 | 0.6037 | 0.7770 |
| No log | 6.0465 | 260 | 0.6530 | 0.2917 | 0.6530 | 0.8081 |
| No log | 6.0930 | 262 | 0.7305 | 0.2830 | 0.7305 | 0.8547 |
| No log | 6.1395 | 264 | 0.6801 | 0.3365 | 0.6801 | 0.8247 |
| No log | 6.1860 | 266 | 0.6295 | 0.2821 | 0.6295 | 0.7934 |
| No log | 6.2326 | 268 | 0.6270 | 0.2323 | 0.6270 | 0.7919 |
| No log | 6.2791 | 270 | 0.6083 | 0.3118 | 0.6083 | 0.7799 |
| No log | 6.3256 | 272 | 0.6736 | 0.3333 | 0.6736 | 0.8207 |
| No log | 6.3721 | 274 | 0.6803 | 0.2893 | 0.6803 | 0.8248 |
| No log | 6.4186 | 276 | 0.6228 | 0.2970 | 0.6228 | 0.7892 |
| No log | 6.4651 | 278 | 0.6011 | 0.2970 | 0.6011 | 0.7753 |
| No log | 6.5116 | 280 | 0.5626 | 0.3488 | 0.5626 | 0.7501 |
| No log | 6.5581 | 282 | 0.5585 | 0.3591 | 0.5585 | 0.7473 |
| No log | 6.6047 | 284 | 0.5495 | 0.3591 | 0.5495 | 0.7413 |
| No log | 6.6512 | 286 | 0.5403 | 0.4083 | 0.5403 | 0.7351 |
| No log | 6.6977 | 288 | 0.5665 | 0.3333 | 0.5665 | 0.7526 |
| No log | 6.7442 | 290 | 0.5571 | 0.3333 | 0.5571 | 0.7464 |
| No log | 6.7907 | 292 | 0.5354 | 0.3684 | 0.5354 | 0.7317 |
| No log | 6.8372 | 294 | 0.5286 | 0.4083 | 0.5286 | 0.7271 |
| No log | 6.8837 | 296 | 0.5232 | 0.3412 | 0.5232 | 0.7233 |
| No log | 6.9302 | 298 | 0.5202 | 0.3829 | 0.5202 | 0.7212 |
| No log | 6.9767 | 300 | 0.5240 | 0.3735 | 0.5240 | 0.7239 |
| No log | 7.0233 | 302 | 0.5412 | 0.2970 | 0.5412 | 0.7356 |
| No log | 7.0698 | 304 | 0.5375 | 0.3000 | 0.5375 | 0.7332 |
| No log | 7.1163 | 306 | 0.5485 | 0.3735 | 0.5485 | 0.7406 |
| No log | 7.1628 | 308 | 0.5750 | 0.3333 | 0.5750 | 0.7583 |
| No log | 7.2093 | 310 | 0.5873 | 0.3708 | 0.5873 | 0.7663 |
| No log | 7.2558 | 312 | 0.5719 | 0.4023 | 0.5719 | 0.7563 |
| No log | 7.3023 | 314 | 0.5835 | 0.3636 | 0.5835 | 0.7639 |
| No log | 7.3488 | 316 | 0.5976 | 0.4098 | 0.5976 | 0.7730 |
| No log | 7.3953 | 318 | 0.5865 | 0.3333 | 0.5865 | 0.7658 |
| No log | 7.4419 | 320 | 0.5591 | 0.3563 | 0.5591 | 0.7477 |
| No log | 7.4884 | 322 | 0.5602 | 0.3563 | 0.5602 | 0.7484 |
| No log | 7.5349 | 324 | 0.5576 | 0.3563 | 0.5576 | 0.7467 |
| No log | 7.5814 | 326 | 0.5493 | 0.3016 | 0.5493 | 0.7412 |
| No log | 7.6279 | 328 | 0.5489 | 0.3231 | 0.5489 | 0.7409 |
| No log | 7.6744 | 330 | 0.5502 | 0.3253 | 0.5502 | 0.7418 |
| No log | 7.7209 | 332 | 0.5927 | 0.2941 | 0.5927 | 0.7699 |
| No log | 7.7674 | 334 | 0.6336 | 0.3446 | 0.6336 | 0.7960 |
| No log | 7.8140 | 336 | 0.6425 | 0.3103 | 0.6425 | 0.8015 |
| No log | 7.8605 | 338 | 0.6123 | 0.3446 | 0.6123 | 0.7825 |
| No log | 7.9070 | 340 | 0.5652 | 0.3216 | 0.5652 | 0.7518 |
| No log | 7.9535 | 342 | 0.5486 | 0.3333 | 0.5486 | 0.7407 |
| No log | 8.0 | 344 | 0.5556 | 0.2941 | 0.5556 | 0.7454 |
| No log | 8.0465 | 346 | 0.5573 | 0.3089 | 0.5573 | 0.7465 |
| No log | 8.0930 | 348 | 0.5811 | 0.3182 | 0.5811 | 0.7623 |
| No log | 8.1395 | 350 | 0.6377 | 0.3263 | 0.6377 | 0.7986 |
| No log | 8.1860 | 352 | 0.6720 | 0.3171 | 0.6720 | 0.8198 |
| No log | 8.2326 | 354 | 0.6590 | 0.3200 | 0.6590 | 0.8118 |
| No log | 8.2791 | 356 | 0.6582 | 0.3641 | 0.6582 | 0.8113 |
| No log | 8.3256 | 358 | 0.6500 | 0.3641 | 0.6500 | 0.8062 |
| No log | 8.3721 | 360 | 0.5981 | 0.2914 | 0.5981 | 0.7734 |
| No log | 8.4186 | 362 | 0.5579 | 0.3446 | 0.5579 | 0.7469 |
| No log | 8.4651 | 364 | 0.5464 | 0.3118 | 0.5464 | 0.7392 |
| No log | 8.5116 | 366 | 0.5407 | 0.2707 | 0.5407 | 0.7353 |
| No log | 8.5581 | 368 | 0.5343 | 0.3609 | 0.5343 | 0.7310 |
| No log | 8.6047 | 370 | 0.5387 | 0.3333 | 0.5387 | 0.7340 |
| No log | 8.6512 | 372 | 0.5415 | 0.3333 | 0.5415 | 0.7359 |
| No log | 8.6977 | 374 | 0.5342 | 0.3609 | 0.5342 | 0.7309 |
| No log | 8.7442 | 376 | 0.5342 | 0.3609 | 0.5342 | 0.7309 |
| No log | 8.7907 | 378 | 0.5366 | 0.3609 | 0.5366 | 0.7325 |
| No log | 8.8372 | 380 | 0.5416 | 0.3563 | 0.5416 | 0.7359 |
| No log | 8.8837 | 382 | 0.5414 | 0.3563 | 0.5414 | 0.7358 |
| No log | 8.9302 | 384 | 0.5435 | 0.3297 | 0.5435 | 0.7372 |
| No log | 8.9767 | 386 | 0.5455 | 0.3118 | 0.5455 | 0.7386 |
| No log | 9.0233 | 388 | 0.5495 | 0.3191 | 0.5495 | 0.7413 |
| No log | 9.0698 | 390 | 0.5511 | 0.3191 | 0.5511 | 0.7424 |
| No log | 9.1163 | 392 | 0.5570 | 0.3297 | 0.5570 | 0.7464 |
| No log | 9.1628 | 394 | 0.5656 | 0.3333 | 0.5656 | 0.7521 |
| No log | 9.2093 | 396 | 0.5835 | 0.3295 | 0.5835 | 0.7639 |
| No log | 9.2558 | 398 | 0.5915 | 0.3295 | 0.5915 | 0.7691 |
| No log | 9.3023 | 400 | 0.5959 | 0.3295 | 0.5959 | 0.7720 |
| No log | 9.3488 | 402 | 0.5866 | 0.3295 | 0.5866 | 0.7659 |
| No log | 9.3953 | 404 | 0.5770 | 0.3295 | 0.5770 | 0.7596 |
| No log | 9.4419 | 406 | 0.5670 | 0.3333 | 0.5670 | 0.7530 |
| No log | 9.4884 | 408 | 0.5602 | 0.3563 | 0.5602 | 0.7485 |
| No log | 9.5349 | 410 | 0.5575 | 0.3563 | 0.5575 | 0.7467 |
| No log | 9.5814 | 412 | 0.5596 | 0.3563 | 0.5596 | 0.7481 |
| No log | 9.6279 | 414 | 0.5649 | 0.3333 | 0.5649 | 0.7516 |
| No log | 9.6744 | 416 | 0.5725 | 0.3333 | 0.5725 | 0.7566 |
| No log | 9.7209 | 418 | 0.5779 | 0.3333 | 0.5779 | 0.7602 |
| No log | 9.7674 | 420 | 0.5808 | 0.3295 | 0.5808 | 0.7621 |
| No log | 9.8140 | 422 | 0.5836 | 0.3295 | 0.5836 | 0.7639 |
| No log | 9.8605 | 424 | 0.5840 | 0.3295 | 0.5840 | 0.7642 |
| No log | 9.9070 | 426 | 0.5830 | 0.3295 | 0.5830 | 0.7635 |
| No log | 9.9535 | 428 | 0.5818 | 0.3295 | 0.5818 | 0.7628 |
| No log | 10.0 | 430 | 0.5814 | 0.3295 | 0.5814 | 0.7625 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k9_task3_organization
Base model
aubmindlab/bert-base-arabertv02