ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k15_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: 0.6781
- Qwk: 0.5472
- Mse: 0.6781
- Rmse: 0.8234
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 | 0.0260 | 2 | 4.0588 | -0.0092 | 4.0588 | 2.0146 |
| No log | 0.0519 | 4 | 2.2525 | 0.0715 | 2.2525 | 1.5008 |
| No log | 0.0779 | 6 | 1.3654 | 0.0760 | 1.3654 | 1.1685 |
| No log | 0.1039 | 8 | 1.1094 | 0.2711 | 1.1094 | 1.0533 |
| No log | 0.1299 | 10 | 1.1395 | 0.1603 | 1.1395 | 1.0675 |
| No log | 0.1558 | 12 | 1.4168 | -0.0812 | 1.4168 | 1.1903 |
| No log | 0.1818 | 14 | 1.3400 | -0.0226 | 1.3400 | 1.1576 |
| No log | 0.2078 | 16 | 1.1691 | 0.0950 | 1.1691 | 1.0812 |
| No log | 0.2338 | 18 | 1.2507 | 0.0760 | 1.2507 | 1.1183 |
| No log | 0.2597 | 20 | 1.2259 | 0.1202 | 1.2259 | 1.1072 |
| No log | 0.2857 | 22 | 1.1400 | 0.0730 | 1.1400 | 1.0677 |
| No log | 0.3117 | 24 | 1.1497 | 0.1096 | 1.1497 | 1.0722 |
| No log | 0.3377 | 26 | 1.2595 | 0.0349 | 1.2595 | 1.1223 |
| No log | 0.3636 | 28 | 1.2919 | 0.0232 | 1.2919 | 1.1366 |
| No log | 0.3896 | 30 | 1.1944 | 0.0584 | 1.1944 | 1.0929 |
| No log | 0.4156 | 32 | 1.0525 | 0.1997 | 1.0525 | 1.0259 |
| No log | 0.4416 | 34 | 1.0613 | 0.1398 | 1.0613 | 1.0302 |
| No log | 0.4675 | 36 | 1.0265 | 0.1671 | 1.0265 | 1.0131 |
| No log | 0.4935 | 38 | 1.0651 | 0.2023 | 1.0651 | 1.0320 |
| No log | 0.5195 | 40 | 1.0973 | 0.2074 | 1.0973 | 1.0475 |
| No log | 0.5455 | 42 | 1.0857 | 0.2074 | 1.0857 | 1.0420 |
| No log | 0.5714 | 44 | 1.1044 | 0.1645 | 1.1044 | 1.0509 |
| No log | 0.5974 | 46 | 1.0599 | 0.2125 | 1.0599 | 1.0295 |
| No log | 0.6234 | 48 | 0.9708 | 0.3014 | 0.9708 | 0.9853 |
| No log | 0.6494 | 50 | 0.9993 | 0.3130 | 0.9993 | 0.9997 |
| No log | 0.6753 | 52 | 1.0167 | 0.2236 | 1.0167 | 1.0083 |
| No log | 0.7013 | 54 | 0.9909 | 0.3604 | 0.9909 | 0.9955 |
| No log | 0.7273 | 56 | 0.9999 | 0.3094 | 0.9999 | 1.0000 |
| No log | 0.7532 | 58 | 1.0579 | 0.2125 | 1.0579 | 1.0285 |
| No log | 0.7792 | 60 | 1.1513 | 0.0613 | 1.1513 | 1.0730 |
| No log | 0.8052 | 62 | 1.1425 | 0.0613 | 1.1425 | 1.0689 |
| No log | 0.8312 | 64 | 1.0356 | 0.2513 | 1.0356 | 1.0176 |
| No log | 0.8571 | 66 | 0.9348 | 0.3435 | 0.9348 | 0.9668 |
| No log | 0.8831 | 68 | 0.9541 | 0.4067 | 0.9541 | 0.9768 |
| No log | 0.9091 | 70 | 0.9467 | 0.4498 | 0.9467 | 0.9730 |
| No log | 0.9351 | 72 | 1.0207 | 0.2857 | 1.0207 | 1.0103 |
| No log | 0.9610 | 74 | 1.0635 | 0.1738 | 1.0635 | 1.0312 |
| No log | 0.9870 | 76 | 1.0409 | 0.3026 | 1.0409 | 1.0202 |
| No log | 1.0130 | 78 | 0.9752 | 0.2611 | 0.9752 | 0.9875 |
| No log | 1.0390 | 80 | 0.8388 | 0.4 | 0.8388 | 0.9159 |
| No log | 1.0649 | 82 | 0.8658 | 0.2842 | 0.8658 | 0.9305 |
| No log | 1.0909 | 84 | 0.9593 | 0.2416 | 0.9593 | 0.9795 |
| No log | 1.1169 | 86 | 0.9935 | 0.3506 | 0.9935 | 0.9967 |
| No log | 1.1429 | 88 | 0.9579 | 0.3968 | 0.9579 | 0.9787 |
| No log | 1.1688 | 90 | 1.0195 | 0.3641 | 1.0195 | 1.0097 |
| No log | 1.1948 | 92 | 0.9871 | 0.3462 | 0.9871 | 0.9936 |
| No log | 1.2208 | 94 | 0.9884 | 0.2033 | 0.9884 | 0.9942 |
| No log | 1.2468 | 96 | 0.9056 | 0.3217 | 0.9056 | 0.9516 |
| No log | 1.2727 | 98 | 0.9027 | 0.3981 | 0.9027 | 0.9501 |
| No log | 1.2987 | 100 | 0.9706 | 0.4161 | 0.9706 | 0.9852 |
| No log | 1.3247 | 102 | 0.9512 | 0.4161 | 0.9512 | 0.9753 |
| No log | 1.3506 | 104 | 0.9200 | 0.3517 | 0.9200 | 0.9592 |
| No log | 1.3766 | 106 | 1.0755 | 0.4096 | 1.0755 | 1.0371 |
| No log | 1.4026 | 108 | 1.0698 | 0.4096 | 1.0698 | 1.0343 |
| No log | 1.4286 | 110 | 0.9353 | 0.3418 | 0.9353 | 0.9671 |
| No log | 1.4545 | 112 | 0.8877 | 0.3418 | 0.8877 | 0.9422 |
| No log | 1.4805 | 114 | 0.9012 | 0.375 | 0.9012 | 0.9493 |
| No log | 1.5065 | 116 | 0.8783 | 0.3897 | 0.8783 | 0.9372 |
| No log | 1.5325 | 118 | 0.8795 | 0.4455 | 0.8795 | 0.9378 |
| No log | 1.5584 | 120 | 1.0498 | 0.4332 | 1.0498 | 1.0246 |
| No log | 1.5844 | 122 | 1.3050 | 0.2805 | 1.3050 | 1.1424 |
| No log | 1.6104 | 124 | 1.3117 | 0.2898 | 1.3117 | 1.1453 |
| No log | 1.6364 | 126 | 1.3251 | 0.2713 | 1.3251 | 1.1511 |
| No log | 1.6623 | 128 | 1.1562 | 0.3631 | 1.1562 | 1.0753 |
| No log | 1.6883 | 130 | 1.0222 | 0.3715 | 1.0222 | 1.0110 |
| No log | 1.7143 | 132 | 1.0563 | 0.3696 | 1.0563 | 1.0278 |
| No log | 1.7403 | 134 | 1.2448 | 0.2891 | 1.2448 | 1.1157 |
| No log | 1.7662 | 136 | 1.3214 | 0.3616 | 1.3214 | 1.1495 |
| No log | 1.7922 | 138 | 1.1397 | 0.3255 | 1.1397 | 1.0676 |
| No log | 1.8182 | 140 | 0.9348 | 0.4648 | 0.9348 | 0.9668 |
| No log | 1.8442 | 142 | 0.8476 | 0.4465 | 0.8476 | 0.9206 |
| No log | 1.8701 | 144 | 0.8509 | 0.4681 | 0.8509 | 0.9224 |
| No log | 1.8961 | 146 | 0.8912 | 0.3984 | 0.8912 | 0.9440 |
| No log | 1.9221 | 148 | 0.7999 | 0.4787 | 0.7999 | 0.8944 |
| No log | 1.9481 | 150 | 0.7401 | 0.5197 | 0.7401 | 0.8603 |
| No log | 1.9740 | 152 | 0.7890 | 0.5253 | 0.7890 | 0.8883 |
| No log | 2.0 | 154 | 0.9301 | 0.4877 | 0.9301 | 0.9644 |
| No log | 2.0260 | 156 | 0.9060 | 0.4667 | 0.9060 | 0.9518 |
| No log | 2.0519 | 158 | 0.8133 | 0.5019 | 0.8133 | 0.9018 |
| No log | 2.0779 | 160 | 0.7723 | 0.5067 | 0.7723 | 0.8788 |
| No log | 2.1039 | 162 | 0.7676 | 0.5089 | 0.7676 | 0.8761 |
| No log | 2.1299 | 164 | 0.7782 | 0.4495 | 0.7782 | 0.8822 |
| No log | 2.1558 | 166 | 0.9667 | 0.4440 | 0.9667 | 0.9832 |
| No log | 2.1818 | 168 | 1.1383 | 0.3476 | 1.1383 | 1.0669 |
| No log | 2.2078 | 170 | 1.0398 | 0.3316 | 1.0398 | 1.0197 |
| No log | 2.2338 | 172 | 0.9258 | 0.3671 | 0.9258 | 0.9622 |
| No log | 2.2597 | 174 | 0.8838 | 0.3454 | 0.8838 | 0.9401 |
| No log | 2.2857 | 176 | 0.9478 | 0.4902 | 0.9478 | 0.9736 |
| No log | 2.3117 | 178 | 1.0996 | 0.4267 | 1.0996 | 1.0486 |
| No log | 2.3377 | 180 | 1.0833 | 0.4384 | 1.0833 | 1.0408 |
| No log | 2.3636 | 182 | 0.8817 | 0.5128 | 0.8817 | 0.9390 |
| No log | 2.3896 | 184 | 0.7431 | 0.4676 | 0.7431 | 0.8621 |
| No log | 2.4156 | 186 | 0.7456 | 0.4461 | 0.7456 | 0.8635 |
| No log | 2.4416 | 188 | 0.7288 | 0.4834 | 0.7288 | 0.8537 |
| No log | 2.4675 | 190 | 0.7222 | 0.5152 | 0.7222 | 0.8498 |
| No log | 2.4935 | 192 | 0.8163 | 0.5344 | 0.8163 | 0.9035 |
| No log | 2.5195 | 194 | 0.9536 | 0.4786 | 0.9536 | 0.9765 |
| No log | 2.5455 | 196 | 0.9370 | 0.4787 | 0.9370 | 0.9680 |
| No log | 2.5714 | 198 | 0.7805 | 0.5610 | 0.7805 | 0.8835 |
| No log | 2.5974 | 200 | 0.7442 | 0.4527 | 0.7442 | 0.8627 |
| No log | 2.6234 | 202 | 0.7857 | 0.4760 | 0.7857 | 0.8864 |
| No log | 2.6494 | 204 | 0.8518 | 0.3921 | 0.8518 | 0.9229 |
| No log | 2.6753 | 206 | 0.9794 | 0.3790 | 0.9794 | 0.9897 |
| No log | 2.7013 | 208 | 1.0861 | 0.3747 | 1.0861 | 1.0421 |
| No log | 2.7273 | 210 | 1.0399 | 0.4191 | 1.0399 | 1.0198 |
| No log | 2.7532 | 212 | 0.9231 | 0.4163 | 0.9231 | 0.9608 |
| No log | 2.7792 | 214 | 0.9107 | 0.4293 | 0.9107 | 0.9543 |
| No log | 2.8052 | 216 | 0.8706 | 0.4284 | 0.8706 | 0.9330 |
| No log | 2.8312 | 218 | 0.8788 | 0.4151 | 0.8788 | 0.9375 |
| No log | 2.8571 | 220 | 0.9637 | 0.4191 | 0.9637 | 0.9817 |
| No log | 2.8831 | 222 | 1.0415 | 0.3967 | 1.0415 | 1.0206 |
| No log | 2.9091 | 224 | 1.0176 | 0.4072 | 1.0176 | 1.0088 |
| No log | 2.9351 | 226 | 0.9529 | 0.4072 | 0.9529 | 0.9762 |
| No log | 2.9610 | 228 | 0.8044 | 0.4461 | 0.8044 | 0.8969 |
| No log | 2.9870 | 230 | 0.7747 | 0.4101 | 0.7747 | 0.8802 |
| No log | 3.0130 | 232 | 0.7886 | 0.4951 | 0.7886 | 0.8880 |
| No log | 3.0390 | 234 | 0.7555 | 0.5302 | 0.7555 | 0.8692 |
| No log | 3.0649 | 236 | 0.7845 | 0.4818 | 0.7845 | 0.8857 |
| No log | 3.0909 | 238 | 0.9274 | 0.5081 | 0.9274 | 0.9630 |
| No log | 3.1169 | 240 | 0.9154 | 0.5073 | 0.9154 | 0.9568 |
| No log | 3.1429 | 242 | 0.8176 | 0.5499 | 0.8176 | 0.9042 |
| No log | 3.1688 | 244 | 0.7430 | 0.5331 | 0.7430 | 0.8620 |
| No log | 3.1948 | 246 | 0.6402 | 0.6415 | 0.6402 | 0.8001 |
| No log | 3.2208 | 248 | 0.6378 | 0.5978 | 0.6378 | 0.7986 |
| No log | 3.2468 | 250 | 0.6749 | 0.6165 | 0.6749 | 0.8215 |
| No log | 3.2727 | 252 | 0.6607 | 0.5247 | 0.6607 | 0.8129 |
| No log | 3.2987 | 254 | 0.6674 | 0.5597 | 0.6674 | 0.8169 |
| No log | 3.3247 | 256 | 0.6753 | 0.5472 | 0.6753 | 0.8218 |
| No log | 3.3506 | 258 | 0.6964 | 0.5305 | 0.6964 | 0.8345 |
| No log | 3.3766 | 260 | 0.6681 | 0.5331 | 0.6681 | 0.8174 |
| No log | 3.4026 | 262 | 0.6306 | 0.5712 | 0.6306 | 0.7941 |
| No log | 3.4286 | 264 | 0.6343 | 0.5774 | 0.6343 | 0.7965 |
| No log | 3.4545 | 266 | 0.6500 | 0.6147 | 0.6500 | 0.8062 |
| No log | 3.4805 | 268 | 0.7205 | 0.5658 | 0.7205 | 0.8488 |
| No log | 3.5065 | 270 | 0.7062 | 0.5668 | 0.7062 | 0.8403 |
| No log | 3.5325 | 272 | 0.6646 | 0.5944 | 0.6646 | 0.8152 |
| No log | 3.5584 | 274 | 0.6842 | 0.5774 | 0.6842 | 0.8272 |
| No log | 3.5844 | 276 | 0.7160 | 0.5654 | 0.7160 | 0.8462 |
| No log | 3.6104 | 278 | 0.7057 | 0.5676 | 0.7057 | 0.8401 |
| No log | 3.6364 | 280 | 0.6959 | 0.4161 | 0.6959 | 0.8342 |
| No log | 3.6623 | 282 | 0.7568 | 0.4639 | 0.7568 | 0.8699 |
| No log | 3.6883 | 284 | 0.7278 | 0.4489 | 0.7278 | 0.8531 |
| No log | 3.7143 | 286 | 0.7065 | 0.5734 | 0.7065 | 0.8405 |
| No log | 3.7403 | 288 | 0.7916 | 0.5433 | 0.7916 | 0.8897 |
| No log | 3.7662 | 290 | 0.8494 | 0.4681 | 0.8494 | 0.9216 |
| No log | 3.7922 | 292 | 0.8370 | 0.4562 | 0.8370 | 0.9149 |
| No log | 3.8182 | 294 | 0.8229 | 0.3515 | 0.8229 | 0.9071 |
| No log | 3.8442 | 296 | 0.8378 | 0.4180 | 0.8378 | 0.9153 |
| No log | 3.8701 | 298 | 0.9172 | 0.3865 | 0.9172 | 0.9577 |
| No log | 3.8961 | 300 | 0.9364 | 0.4277 | 0.9364 | 0.9677 |
| No log | 3.9221 | 302 | 0.8402 | 0.5045 | 0.8402 | 0.9166 |
| No log | 3.9481 | 304 | 0.7596 | 0.4943 | 0.7596 | 0.8716 |
| No log | 3.9740 | 306 | 0.7151 | 0.5722 | 0.7151 | 0.8456 |
| No log | 4.0 | 308 | 0.6830 | 0.5577 | 0.6830 | 0.8265 |
| No log | 4.0260 | 310 | 0.6795 | 0.5975 | 0.6795 | 0.8243 |
| No log | 4.0519 | 312 | 0.7534 | 0.5735 | 0.7534 | 0.8680 |
| No log | 4.0779 | 314 | 0.9151 | 0.54 | 0.9151 | 0.9566 |
| No log | 4.1039 | 316 | 1.1029 | 0.4950 | 1.1029 | 1.0502 |
| No log | 4.1299 | 318 | 1.2022 | 0.4006 | 1.2022 | 1.0964 |
| No log | 4.1558 | 320 | 0.9625 | 0.4994 | 0.9625 | 0.9811 |
| No log | 4.1818 | 322 | 0.7432 | 0.5584 | 0.7432 | 0.8621 |
| No log | 4.2078 | 324 | 0.7060 | 0.6092 | 0.7060 | 0.8403 |
| No log | 4.2338 | 326 | 0.7029 | 0.5894 | 0.7029 | 0.8384 |
| No log | 4.2597 | 328 | 0.7283 | 0.5642 | 0.7283 | 0.8534 |
| No log | 4.2857 | 330 | 0.7716 | 0.5254 | 0.7716 | 0.8784 |
| No log | 4.3117 | 332 | 0.7695 | 0.5610 | 0.7695 | 0.8772 |
| No log | 4.3377 | 334 | 0.7097 | 0.5192 | 0.7097 | 0.8424 |
| No log | 4.3636 | 336 | 0.6748 | 0.5018 | 0.6748 | 0.8215 |
| No log | 4.3896 | 338 | 0.6960 | 0.5585 | 0.6960 | 0.8343 |
| No log | 4.4156 | 340 | 0.7680 | 0.5192 | 0.7680 | 0.8763 |
| No log | 4.4416 | 342 | 0.7978 | 0.4952 | 0.7978 | 0.8932 |
| No log | 4.4675 | 344 | 0.7748 | 0.4227 | 0.7748 | 0.8802 |
| No log | 4.4935 | 346 | 0.7849 | 0.4612 | 0.7849 | 0.8860 |
| No log | 4.5195 | 348 | 0.8222 | 0.4335 | 0.8222 | 0.9067 |
| No log | 4.5455 | 350 | 0.9065 | 0.4318 | 0.9065 | 0.9521 |
| No log | 4.5714 | 352 | 0.9559 | 0.4864 | 0.9559 | 0.9777 |
| No log | 4.5974 | 354 | 0.8831 | 0.5106 | 0.8831 | 0.9397 |
| No log | 4.6234 | 356 | 0.7646 | 0.4937 | 0.7646 | 0.8744 |
| No log | 4.6494 | 358 | 0.6760 | 0.4995 | 0.6760 | 0.8222 |
| No log | 4.6753 | 360 | 0.6594 | 0.4520 | 0.6594 | 0.8120 |
| No log | 4.7013 | 362 | 0.6437 | 0.4778 | 0.6437 | 0.8023 |
| No log | 4.7273 | 364 | 0.6539 | 0.5686 | 0.6539 | 0.8086 |
| No log | 4.7532 | 366 | 0.7001 | 0.5416 | 0.7001 | 0.8367 |
| No log | 4.7792 | 368 | 0.6901 | 0.5416 | 0.6901 | 0.8307 |
| No log | 4.8052 | 370 | 0.6247 | 0.5686 | 0.6247 | 0.7904 |
| No log | 4.8312 | 372 | 0.5878 | 0.5722 | 0.5878 | 0.7667 |
| No log | 4.8571 | 374 | 0.5970 | 0.5978 | 0.5970 | 0.7727 |
| No log | 4.8831 | 376 | 0.6138 | 0.5746 | 0.6138 | 0.7834 |
| No log | 4.9091 | 378 | 0.6643 | 0.5192 | 0.6643 | 0.8151 |
| No log | 4.9351 | 380 | 0.7964 | 0.5390 | 0.7964 | 0.8924 |
| No log | 4.9610 | 382 | 0.8339 | 0.5265 | 0.8339 | 0.9132 |
| No log | 4.9870 | 384 | 0.7742 | 0.5164 | 0.7742 | 0.8799 |
| No log | 5.0130 | 386 | 0.7270 | 0.5192 | 0.7270 | 0.8527 |
| No log | 5.0390 | 388 | 0.7361 | 0.5192 | 0.7361 | 0.8580 |
| No log | 5.0649 | 390 | 0.7698 | 0.4937 | 0.7698 | 0.8774 |
| No log | 5.0909 | 392 | 0.7635 | 0.5065 | 0.7635 | 0.8738 |
| No log | 5.1169 | 394 | 0.7324 | 0.5192 | 0.7324 | 0.8558 |
| No log | 5.1429 | 396 | 0.7095 | 0.4204 | 0.7095 | 0.8423 |
| No log | 5.1688 | 398 | 0.7248 | 0.4216 | 0.7248 | 0.8514 |
| No log | 5.1948 | 400 | 0.7917 | 0.4697 | 0.7917 | 0.8897 |
| No log | 5.2208 | 402 | 0.8774 | 0.4444 | 0.8774 | 0.9367 |
| No log | 5.2468 | 404 | 1.0022 | 0.4765 | 1.0022 | 1.0011 |
| No log | 5.2727 | 406 | 1.0233 | 0.4123 | 1.0233 | 1.0116 |
| No log | 5.2987 | 408 | 1.0049 | 0.4540 | 1.0049 | 1.0025 |
| No log | 5.3247 | 410 | 0.9363 | 0.4318 | 0.9363 | 0.9676 |
| No log | 5.3506 | 412 | 0.8202 | 0.4917 | 0.8202 | 0.9057 |
| No log | 5.3766 | 414 | 0.7881 | 0.4812 | 0.7881 | 0.8878 |
| No log | 5.4026 | 416 | 0.7890 | 0.3317 | 0.7890 | 0.8882 |
| No log | 5.4286 | 418 | 0.8322 | 0.3421 | 0.8322 | 0.9123 |
| No log | 5.4545 | 420 | 0.9142 | 0.3059 | 0.9142 | 0.9561 |
| No log | 5.4805 | 422 | 0.9590 | 0.3635 | 0.9590 | 0.9793 |
| No log | 5.5065 | 424 | 0.9091 | 0.3635 | 0.9091 | 0.9535 |
| No log | 5.5325 | 426 | 0.8304 | 0.3844 | 0.8304 | 0.9113 |
| No log | 5.5584 | 428 | 0.7971 | 0.3403 | 0.7971 | 0.8928 |
| No log | 5.5844 | 430 | 0.7651 | 0.4363 | 0.7651 | 0.8747 |
| No log | 5.6104 | 432 | 0.7324 | 0.4748 | 0.7324 | 0.8558 |
| No log | 5.6364 | 434 | 0.7088 | 0.5477 | 0.7088 | 0.8419 |
| No log | 5.6623 | 436 | 0.6723 | 0.5131 | 0.6723 | 0.8199 |
| No log | 5.6883 | 438 | 0.6608 | 0.5986 | 0.6608 | 0.8129 |
| No log | 5.7143 | 440 | 0.6366 | 0.5570 | 0.6366 | 0.7979 |
| No log | 5.7403 | 442 | 0.6256 | 0.5570 | 0.6256 | 0.7909 |
| No log | 5.7662 | 444 | 0.6549 | 0.6090 | 0.6549 | 0.8093 |
| No log | 5.7922 | 446 | 0.7215 | 0.5675 | 0.7215 | 0.8494 |
| No log | 5.8182 | 448 | 0.7241 | 0.5618 | 0.7241 | 0.8509 |
| No log | 5.8442 | 450 | 0.6838 | 0.5651 | 0.6838 | 0.8269 |
| No log | 5.8701 | 452 | 0.6472 | 0.5698 | 0.6472 | 0.8045 |
| No log | 5.8961 | 454 | 0.6488 | 0.5585 | 0.6488 | 0.8055 |
| No log | 5.9221 | 456 | 0.6737 | 0.5079 | 0.6737 | 0.8208 |
| No log | 5.9481 | 458 | 0.7353 | 0.4460 | 0.7353 | 0.8575 |
| No log | 5.9740 | 460 | 0.8912 | 0.5073 | 0.8912 | 0.9440 |
| No log | 6.0 | 462 | 1.0009 | 0.4548 | 1.0009 | 1.0005 |
| No log | 6.0260 | 464 | 0.9556 | 0.5070 | 0.9556 | 0.9776 |
| No log | 6.0519 | 466 | 0.7988 | 0.5676 | 0.7988 | 0.8937 |
| No log | 6.0779 | 468 | 0.6967 | 0.5963 | 0.6967 | 0.8347 |
| No log | 6.1039 | 470 | 0.6538 | 0.5833 | 0.6538 | 0.8086 |
| No log | 6.1299 | 472 | 0.6312 | 0.5455 | 0.6312 | 0.7945 |
| No log | 6.1558 | 474 | 0.6352 | 0.5455 | 0.6352 | 0.7970 |
| No log | 6.1818 | 476 | 0.6592 | 0.5459 | 0.6592 | 0.8119 |
| No log | 6.2078 | 478 | 0.7178 | 0.4943 | 0.7178 | 0.8472 |
| No log | 6.2338 | 480 | 0.7926 | 0.5164 | 0.7926 | 0.8903 |
| No log | 6.2597 | 482 | 0.8325 | 0.5102 | 0.8325 | 0.9124 |
| No log | 6.2857 | 484 | 0.8100 | 0.5532 | 0.8100 | 0.9000 |
| No log | 6.3117 | 486 | 0.7044 | 0.5429 | 0.7044 | 0.8393 |
| No log | 6.3377 | 488 | 0.6462 | 0.5455 | 0.6462 | 0.8039 |
| No log | 6.3636 | 490 | 0.6428 | 0.5455 | 0.6428 | 0.8018 |
| No log | 6.3896 | 492 | 0.6893 | 0.5751 | 0.6893 | 0.8303 |
| No log | 6.4156 | 494 | 0.7022 | 0.6004 | 0.7022 | 0.8379 |
| No log | 6.4416 | 496 | 0.6938 | 0.6117 | 0.6938 | 0.8330 |
| No log | 6.4675 | 498 | 0.6856 | 0.6117 | 0.6856 | 0.8280 |
| 0.3543 | 6.4935 | 500 | 0.7030 | 0.6004 | 0.7030 | 0.8384 |
| 0.3543 | 6.5195 | 502 | 0.7260 | 0.5867 | 0.7260 | 0.8521 |
| 0.3543 | 6.5455 | 504 | 0.6974 | 0.5540 | 0.6974 | 0.8351 |
| 0.3543 | 6.5714 | 506 | 0.7316 | 0.5406 | 0.7316 | 0.8553 |
| 0.3543 | 6.5974 | 508 | 0.7306 | 0.5292 | 0.7306 | 0.8547 |
| 0.3543 | 6.6234 | 510 | 0.6781 | 0.5472 | 0.6781 | 0.8234 |
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/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02