ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_task2_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: 0.9556
- Qwk: 0.3692
- Mse: 0.9556
- Rmse: 0.9775
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 | 0.0345 | 2 | 4.8117 | -0.0020 | 4.8117 | 2.1936 |
No log | 0.0690 | 4 | 2.7032 | 0.0329 | 2.7032 | 1.6442 |
No log | 0.1034 | 6 | 1.9974 | -0.0575 | 1.9974 | 1.4133 |
No log | 0.1379 | 8 | 1.6601 | 0.0062 | 1.6601 | 1.2884 |
No log | 0.1724 | 10 | 1.5266 | 0.0062 | 1.5266 | 1.2356 |
No log | 0.2069 | 12 | 1.5861 | 0.0372 | 1.5861 | 1.2594 |
No log | 0.2414 | 14 | 1.5667 | 0.0227 | 1.5667 | 1.2517 |
No log | 0.2759 | 16 | 1.6283 | 0.1060 | 1.6283 | 1.2760 |
No log | 0.3103 | 18 | 1.7799 | 0.1169 | 1.7799 | 1.3341 |
No log | 0.3448 | 20 | 1.6994 | 0.0925 | 1.6994 | 1.3036 |
No log | 0.3793 | 22 | 1.6897 | 0.1169 | 1.6897 | 1.2999 |
No log | 0.4138 | 24 | 1.5852 | 0.1248 | 1.5852 | 1.2590 |
No log | 0.4483 | 26 | 1.6672 | 0.1557 | 1.6672 | 1.2912 |
No log | 0.4828 | 28 | 1.8755 | 0.1544 | 1.8755 | 1.3695 |
No log | 0.5172 | 30 | 1.5571 | 0.1540 | 1.5571 | 1.2479 |
No log | 0.5517 | 32 | 1.1454 | 0.2736 | 1.1454 | 1.0702 |
No log | 0.5862 | 34 | 0.9746 | 0.3704 | 0.9746 | 0.9872 |
No log | 0.6207 | 36 | 0.9922 | 0.4093 | 0.9922 | 0.9961 |
No log | 0.6552 | 38 | 1.0215 | 0.4198 | 1.0215 | 1.0107 |
No log | 0.6897 | 40 | 1.0233 | 0.3590 | 1.0233 | 1.0116 |
No log | 0.7241 | 42 | 1.0497 | 0.3679 | 1.0497 | 1.0245 |
No log | 0.7586 | 44 | 1.2180 | 0.1708 | 1.2180 | 1.1036 |
No log | 0.7931 | 46 | 1.2879 | 0.1251 | 1.2879 | 1.1348 |
No log | 0.8276 | 48 | 1.3104 | 0.1278 | 1.3104 | 1.1447 |
No log | 0.8621 | 50 | 1.7577 | -0.0208 | 1.7577 | 1.3258 |
No log | 0.8966 | 52 | 1.8735 | -0.0016 | 1.8735 | 1.3688 |
No log | 0.9310 | 54 | 1.3789 | 0.1663 | 1.3789 | 1.1743 |
No log | 0.9655 | 56 | 1.1933 | 0.3692 | 1.1933 | 1.0924 |
No log | 1.0 | 58 | 1.0214 | 0.3409 | 1.0214 | 1.0106 |
No log | 1.0345 | 60 | 0.9670 | 0.3409 | 0.9670 | 0.9834 |
No log | 1.0690 | 62 | 0.9922 | 0.3452 | 0.9922 | 0.9961 |
No log | 1.1034 | 64 | 1.1079 | 0.2915 | 1.1079 | 1.0526 |
No log | 1.1379 | 66 | 1.1836 | 0.1722 | 1.1836 | 1.0879 |
No log | 1.1724 | 68 | 1.3852 | 0.1553 | 1.3852 | 1.1769 |
No log | 1.2069 | 70 | 1.2870 | 0.1535 | 1.2870 | 1.1344 |
No log | 1.2414 | 72 | 1.0767 | 0.1655 | 1.0767 | 1.0376 |
No log | 1.2759 | 74 | 1.1307 | 0.1979 | 1.1307 | 1.0633 |
No log | 1.3103 | 76 | 1.4725 | 0.2521 | 1.4725 | 1.2135 |
No log | 1.3448 | 78 | 1.8049 | 0.2599 | 1.8049 | 1.3434 |
No log | 1.3793 | 80 | 1.5817 | 0.3092 | 1.5817 | 1.2577 |
No log | 1.4138 | 82 | 1.3520 | 0.2298 | 1.3520 | 1.1627 |
No log | 1.4483 | 84 | 1.2536 | 0.1979 | 1.2536 | 1.1197 |
No log | 1.4828 | 86 | 1.1393 | 0.2103 | 1.1393 | 1.0674 |
No log | 1.5172 | 88 | 1.1071 | 0.2870 | 1.1071 | 1.0522 |
No log | 1.5517 | 90 | 1.1676 | 0.2065 | 1.1676 | 1.0806 |
No log | 1.5862 | 92 | 0.9927 | 0.2984 | 0.9927 | 0.9964 |
No log | 1.6207 | 94 | 0.9029 | 0.4598 | 0.9029 | 0.9502 |
No log | 1.6552 | 96 | 1.0129 | 0.3030 | 1.0129 | 1.0064 |
No log | 1.6897 | 98 | 1.1996 | 0.3274 | 1.1996 | 1.0953 |
No log | 1.7241 | 100 | 1.1091 | 0.3274 | 1.1091 | 1.0531 |
No log | 1.7586 | 102 | 0.9503 | 0.4842 | 0.9503 | 0.9748 |
No log | 1.7931 | 104 | 0.9537 | 0.5054 | 0.9537 | 0.9766 |
No log | 1.8276 | 106 | 0.9243 | 0.5054 | 0.9243 | 0.9614 |
No log | 1.8621 | 108 | 0.8805 | 0.5479 | 0.8805 | 0.9384 |
No log | 1.8966 | 110 | 1.0453 | 0.4067 | 1.0453 | 1.0224 |
No log | 1.9310 | 112 | 1.4835 | 0.3389 | 1.4835 | 1.2180 |
No log | 1.9655 | 114 | 1.7017 | 0.2684 | 1.7017 | 1.3045 |
No log | 2.0 | 116 | 1.4624 | 0.3712 | 1.4624 | 1.2093 |
No log | 2.0345 | 118 | 1.1817 | 0.3860 | 1.1817 | 1.0870 |
No log | 2.0690 | 120 | 1.0546 | 0.3621 | 1.0546 | 1.0269 |
No log | 2.1034 | 122 | 0.9041 | 0.4310 | 0.9041 | 0.9508 |
No log | 2.1379 | 124 | 0.8614 | 0.4465 | 0.8614 | 0.9281 |
No log | 2.1724 | 126 | 0.8435 | 0.4806 | 0.8435 | 0.9184 |
No log | 2.2069 | 128 | 1.0309 | 0.3902 | 1.0309 | 1.0153 |
No log | 2.2414 | 130 | 1.4667 | 0.2816 | 1.4667 | 1.2111 |
No log | 2.2759 | 132 | 1.4432 | 0.2706 | 1.4432 | 1.2013 |
No log | 2.3103 | 134 | 1.1583 | 0.3897 | 1.1583 | 1.0763 |
No log | 2.3448 | 136 | 1.0122 | 0.3821 | 1.0122 | 1.0061 |
No log | 2.3793 | 138 | 1.0020 | 0.4118 | 1.0020 | 1.0010 |
No log | 2.4138 | 140 | 1.1559 | 0.4009 | 1.1559 | 1.0751 |
No log | 2.4483 | 142 | 1.5140 | 0.3257 | 1.5140 | 1.2305 |
No log | 2.4828 | 144 | 1.3582 | 0.4064 | 1.3582 | 1.1654 |
No log | 2.5172 | 146 | 1.3621 | 0.3550 | 1.3621 | 1.1671 |
No log | 2.5517 | 148 | 1.1156 | 0.4561 | 1.1156 | 1.0562 |
No log | 2.5862 | 150 | 1.1557 | 0.4169 | 1.1557 | 1.0750 |
No log | 2.6207 | 152 | 1.5564 | 0.2981 | 1.5564 | 1.2476 |
No log | 2.6552 | 154 | 1.6650 | 0.2649 | 1.6650 | 1.2904 |
No log | 2.6897 | 156 | 1.3601 | 0.3541 | 1.3601 | 1.1662 |
No log | 2.7241 | 158 | 1.0749 | 0.4412 | 1.0749 | 1.0368 |
No log | 2.7586 | 160 | 1.2526 | 0.3902 | 1.2526 | 1.1192 |
No log | 2.7931 | 162 | 1.4439 | 0.3051 | 1.4439 | 1.2016 |
No log | 2.8276 | 164 | 1.4952 | 0.3051 | 1.4952 | 1.2228 |
No log | 2.8621 | 166 | 1.1453 | 0.3833 | 1.1453 | 1.0702 |
No log | 2.8966 | 168 | 0.9684 | 0.4078 | 0.9684 | 0.9841 |
No log | 2.9310 | 170 | 0.9191 | 0.3787 | 0.9191 | 0.9587 |
No log | 2.9655 | 172 | 0.9310 | 0.4033 | 0.9310 | 0.9649 |
No log | 3.0 | 174 | 0.9473 | 0.3557 | 0.9473 | 0.9733 |
No log | 3.0345 | 176 | 0.9300 | 0.4072 | 0.9300 | 0.9644 |
No log | 3.0690 | 178 | 0.9630 | 0.3457 | 0.9630 | 0.9813 |
No log | 3.1034 | 180 | 1.0274 | 0.3284 | 1.0274 | 1.0136 |
No log | 3.1379 | 182 | 1.0903 | 0.3009 | 1.0903 | 1.0442 |
No log | 3.1724 | 184 | 1.1070 | 0.3323 | 1.1070 | 1.0521 |
No log | 3.2069 | 186 | 1.2277 | 0.2589 | 1.2277 | 1.1080 |
No log | 3.2414 | 188 | 1.0425 | 0.3330 | 1.0425 | 1.0210 |
No log | 3.2759 | 190 | 0.9587 | 0.3344 | 0.9587 | 0.9791 |
No log | 3.3103 | 192 | 1.0568 | 0.3945 | 1.0568 | 1.0280 |
No log | 3.3448 | 194 | 1.0240 | 0.3854 | 1.0240 | 1.0119 |
No log | 3.3793 | 196 | 1.0072 | 0.2851 | 1.0072 | 1.0036 |
No log | 3.4138 | 198 | 1.0881 | 0.2963 | 1.0881 | 1.0431 |
No log | 3.4483 | 200 | 1.0075 | 0.3081 | 1.0075 | 1.0037 |
No log | 3.4828 | 202 | 1.0168 | 0.3979 | 1.0168 | 1.0084 |
No log | 3.5172 | 204 | 1.0098 | 0.3979 | 1.0098 | 1.0049 |
No log | 3.5517 | 206 | 0.9942 | 0.4013 | 0.9942 | 0.9971 |
No log | 3.5862 | 208 | 1.0301 | 0.3871 | 1.0301 | 1.0149 |
No log | 3.6207 | 210 | 1.0473 | 0.4369 | 1.0473 | 1.0234 |
No log | 3.6552 | 212 | 0.9983 | 0.3846 | 0.9983 | 0.9992 |
No log | 3.6897 | 214 | 0.9914 | 0.4405 | 0.9914 | 0.9957 |
No log | 3.7241 | 216 | 0.9856 | 0.3772 | 0.9856 | 0.9928 |
No log | 3.7586 | 218 | 0.9906 | 0.3849 | 0.9906 | 0.9953 |
No log | 3.7931 | 220 | 1.0888 | 0.3237 | 1.0888 | 1.0435 |
No log | 3.8276 | 222 | 1.1678 | 0.3005 | 1.1678 | 1.0807 |
No log | 3.8621 | 224 | 1.0539 | 0.3397 | 1.0539 | 1.0266 |
No log | 3.8966 | 226 | 0.9951 | 0.4105 | 0.9951 | 0.9976 |
No log | 3.9310 | 228 | 0.9853 | 0.4160 | 0.9853 | 0.9926 |
No log | 3.9655 | 230 | 0.9947 | 0.3243 | 0.9947 | 0.9973 |
No log | 4.0 | 232 | 1.0162 | 0.3747 | 1.0162 | 1.0081 |
No log | 4.0345 | 234 | 1.0044 | 0.3392 | 1.0044 | 1.0022 |
No log | 4.0690 | 236 | 1.1089 | 0.3665 | 1.1089 | 1.0531 |
No log | 4.1034 | 238 | 1.2335 | 0.2704 | 1.2335 | 1.1106 |
No log | 4.1379 | 240 | 1.0780 | 0.3813 | 1.0780 | 1.0383 |
No log | 4.1724 | 242 | 1.0158 | 0.3327 | 1.0158 | 1.0079 |
No log | 4.2069 | 244 | 1.0175 | 0.3459 | 1.0175 | 1.0087 |
No log | 4.2414 | 246 | 1.0213 | 0.3590 | 1.0213 | 1.0106 |
No log | 4.2759 | 248 | 1.0710 | 0.2876 | 1.0710 | 1.0349 |
No log | 4.3103 | 250 | 1.0504 | 0.2577 | 1.0504 | 1.0249 |
No log | 4.3448 | 252 | 1.0232 | 0.2943 | 1.0232 | 1.0115 |
No log | 4.3793 | 254 | 1.0366 | 0.3036 | 1.0366 | 1.0181 |
No log | 4.4138 | 256 | 1.0712 | 0.3056 | 1.0712 | 1.0350 |
No log | 4.4483 | 258 | 1.0845 | 0.3008 | 1.0845 | 1.0414 |
No log | 4.4828 | 260 | 1.0099 | 0.2943 | 1.0099 | 1.0049 |
No log | 4.5172 | 262 | 0.9869 | 0.3237 | 0.9869 | 0.9934 |
No log | 4.5517 | 264 | 0.9958 | 0.3496 | 0.9958 | 0.9979 |
No log | 4.5862 | 266 | 1.0040 | 0.3590 | 1.0040 | 1.0020 |
No log | 4.6207 | 268 | 1.1690 | 0.4045 | 1.1690 | 1.0812 |
No log | 4.6552 | 270 | 1.2271 | 0.3421 | 1.2271 | 1.1077 |
No log | 4.6897 | 272 | 1.0495 | 0.3189 | 1.0495 | 1.0244 |
No log | 4.7241 | 274 | 0.9703 | 0.3724 | 0.9703 | 0.9850 |
No log | 4.7586 | 276 | 1.0219 | 0.4293 | 1.0219 | 1.0109 |
No log | 4.7931 | 278 | 0.9800 | 0.3369 | 0.9800 | 0.9900 |
No log | 4.8276 | 280 | 0.9508 | 0.3933 | 0.9508 | 0.9751 |
No log | 4.8621 | 282 | 1.0491 | 0.3128 | 1.0491 | 1.0243 |
No log | 4.8966 | 284 | 1.1764 | 0.3562 | 1.1764 | 1.0846 |
No log | 4.9310 | 286 | 1.1403 | 0.3160 | 1.1403 | 1.0679 |
No log | 4.9655 | 288 | 0.9790 | 0.4396 | 0.9790 | 0.9895 |
No log | 5.0 | 290 | 0.9375 | 0.4105 | 0.9375 | 0.9682 |
No log | 5.0345 | 292 | 0.9687 | 0.4388 | 0.9687 | 0.9842 |
No log | 5.0690 | 294 | 1.0866 | 0.4122 | 1.0866 | 1.0424 |
No log | 5.1034 | 296 | 1.1220 | 0.3064 | 1.1220 | 1.0592 |
No log | 5.1379 | 298 | 1.0078 | 0.5085 | 1.0078 | 1.0039 |
No log | 5.1724 | 300 | 0.9738 | 0.3562 | 0.9738 | 0.9868 |
No log | 5.2069 | 302 | 0.9819 | 0.3690 | 0.9819 | 0.9909 |
No log | 5.2414 | 304 | 0.9853 | 0.3463 | 0.9853 | 0.9926 |
No log | 5.2759 | 306 | 1.0283 | 0.3218 | 1.0283 | 1.0140 |
No log | 5.3103 | 308 | 1.0049 | 0.3637 | 1.0049 | 1.0025 |
No log | 5.3448 | 310 | 0.9847 | 0.3541 | 0.9847 | 0.9923 |
No log | 5.3793 | 312 | 0.9839 | 0.3042 | 0.9839 | 0.9919 |
No log | 5.4138 | 314 | 0.9785 | 0.3230 | 0.9785 | 0.9892 |
No log | 5.4483 | 316 | 0.9924 | 0.3108 | 0.9924 | 0.9962 |
No log | 5.4828 | 318 | 1.0260 | 0.3985 | 1.0260 | 1.0129 |
No log | 5.5172 | 320 | 1.0015 | 0.3218 | 1.0015 | 1.0007 |
No log | 5.5517 | 322 | 0.9711 | 0.3243 | 0.9711 | 0.9854 |
No log | 5.5862 | 324 | 0.9496 | 0.3811 | 0.9496 | 0.9745 |
No log | 5.6207 | 326 | 0.9410 | 0.3619 | 0.9410 | 0.9701 |
No log | 5.6552 | 328 | 0.9793 | 0.4305 | 0.9793 | 0.9896 |
No log | 5.6897 | 330 | 1.1629 | 0.3731 | 1.1629 | 1.0784 |
No log | 5.7241 | 332 | 1.1563 | 0.3640 | 1.1563 | 1.0753 |
No log | 5.7586 | 334 | 1.0082 | 0.4020 | 1.0082 | 1.0041 |
No log | 5.7931 | 336 | 0.9609 | 0.4036 | 0.9609 | 0.9803 |
No log | 5.8276 | 338 | 0.9239 | 0.3596 | 0.9239 | 0.9612 |
No log | 5.8621 | 340 | 0.9027 | 0.4256 | 0.9027 | 0.9501 |
No log | 5.8966 | 342 | 0.9192 | 0.5209 | 0.9192 | 0.9587 |
No log | 5.9310 | 344 | 1.0209 | 0.4119 | 1.0209 | 1.0104 |
No log | 5.9655 | 346 | 0.9672 | 0.4861 | 0.9672 | 0.9835 |
No log | 6.0 | 348 | 0.8562 | 0.4231 | 0.8562 | 0.9253 |
No log | 6.0345 | 350 | 0.9171 | 0.3684 | 0.9171 | 0.9577 |
No log | 6.0690 | 352 | 0.9243 | 0.3908 | 0.9243 | 0.9614 |
No log | 6.1034 | 354 | 0.8875 | 0.4424 | 0.8875 | 0.9421 |
No log | 6.1379 | 356 | 0.9235 | 0.4116 | 0.9235 | 0.9610 |
No log | 6.1724 | 358 | 0.9888 | 0.4321 | 0.9888 | 0.9944 |
No log | 6.2069 | 360 | 0.9391 | 0.4154 | 0.9391 | 0.9691 |
No log | 6.2414 | 362 | 0.8871 | 0.3855 | 0.8871 | 0.9419 |
No log | 6.2759 | 364 | 0.8855 | 0.3970 | 0.8855 | 0.9410 |
No log | 6.3103 | 366 | 0.8951 | 0.4260 | 0.8951 | 0.9461 |
No log | 6.3448 | 368 | 0.8991 | 0.4079 | 0.8991 | 0.9482 |
No log | 6.3793 | 370 | 0.9021 | 0.3838 | 0.9021 | 0.9498 |
No log | 6.4138 | 372 | 0.9139 | 0.3862 | 0.9139 | 0.9560 |
No log | 6.4483 | 374 | 1.0087 | 0.3881 | 1.0087 | 1.0044 |
No log | 6.4828 | 376 | 1.0744 | 0.3877 | 1.0744 | 1.0365 |
No log | 6.5172 | 378 | 1.1908 | 0.3745 | 1.1908 | 1.0913 |
No log | 6.5517 | 380 | 1.1997 | 0.3860 | 1.1997 | 1.0953 |
No log | 6.5862 | 382 | 1.0537 | 0.3584 | 1.0537 | 1.0265 |
No log | 6.6207 | 384 | 1.0070 | 0.4435 | 1.0070 | 1.0035 |
No log | 6.6552 | 386 | 1.0496 | 0.3466 | 1.0496 | 1.0245 |
No log | 6.6897 | 388 | 1.0887 | 0.3415 | 1.0887 | 1.0434 |
No log | 6.7241 | 390 | 1.0665 | 0.3218 | 1.0665 | 1.0327 |
No log | 6.7586 | 392 | 0.9976 | 0.3546 | 0.9976 | 0.9988 |
No log | 6.7931 | 394 | 1.0080 | 0.3135 | 1.0080 | 1.0040 |
No log | 6.8276 | 396 | 1.0324 | 0.3173 | 1.0324 | 1.0161 |
No log | 6.8621 | 398 | 1.0505 | 0.3078 | 1.0505 | 1.0249 |
No log | 6.8966 | 400 | 1.0 | 0.4305 | 1.0000 | 1.0 |
No log | 6.9310 | 402 | 1.0401 | 0.2844 | 1.0401 | 1.0199 |
No log | 6.9655 | 404 | 1.0173 | 0.2844 | 1.0173 | 1.0086 |
No log | 7.0 | 406 | 0.9733 | 0.3657 | 0.9733 | 0.9866 |
No log | 7.0345 | 408 | 0.9880 | 0.3321 | 0.9880 | 0.9940 |
No log | 7.0690 | 410 | 1.0352 | 0.3218 | 1.0352 | 1.0174 |
No log | 7.1034 | 412 | 1.0133 | 0.3521 | 1.0133 | 1.0066 |
No log | 7.1379 | 414 | 0.9483 | 0.4310 | 0.9483 | 0.9738 |
No log | 7.1724 | 416 | 0.8894 | 0.4772 | 0.8894 | 0.9431 |
No log | 7.2069 | 418 | 0.8747 | 0.4504 | 0.8747 | 0.9352 |
No log | 7.2414 | 420 | 0.8831 | 0.4404 | 0.8831 | 0.9397 |
No log | 7.2759 | 422 | 0.9827 | 0.4012 | 0.9827 | 0.9913 |
No log | 7.3103 | 424 | 1.0034 | 0.3835 | 1.0034 | 1.0017 |
No log | 7.3448 | 426 | 0.9513 | 0.4283 | 0.9513 | 0.9753 |
No log | 7.3793 | 428 | 0.8735 | 0.4494 | 0.8735 | 0.9346 |
No log | 7.4138 | 430 | 0.8431 | 0.4978 | 0.8431 | 0.9182 |
No log | 7.4483 | 432 | 0.8401 | 0.5226 | 0.8401 | 0.9166 |
No log | 7.4828 | 434 | 0.8393 | 0.5058 | 0.8393 | 0.9161 |
No log | 7.5172 | 436 | 0.8542 | 0.5125 | 0.8542 | 0.9242 |
No log | 7.5517 | 438 | 0.8841 | 0.4273 | 0.8841 | 0.9403 |
No log | 7.5862 | 440 | 0.9077 | 0.4578 | 0.9077 | 0.9527 |
No log | 7.6207 | 442 | 0.9356 | 0.3946 | 0.9356 | 0.9673 |
No log | 7.6552 | 444 | 0.9673 | 0.3884 | 0.9673 | 0.9835 |
No log | 7.6897 | 446 | 1.0147 | 0.3869 | 1.0147 | 1.0073 |
No log | 7.7241 | 448 | 0.9961 | 0.3869 | 0.9961 | 0.9980 |
No log | 7.7586 | 450 | 0.9265 | 0.4413 | 0.9265 | 0.9626 |
No log | 7.7931 | 452 | 0.9063 | 0.4321 | 0.9063 | 0.9520 |
No log | 7.8276 | 454 | 0.9544 | 0.3854 | 0.9544 | 0.9769 |
No log | 7.8621 | 456 | 0.9639 | 0.2784 | 0.9639 | 0.9818 |
No log | 7.8966 | 458 | 0.9784 | 0.3891 | 0.9784 | 0.9891 |
No log | 7.9310 | 460 | 1.1336 | 0.3640 | 1.1336 | 1.0647 |
No log | 7.9655 | 462 | 1.2694 | 0.3243 | 1.2694 | 1.1267 |
No log | 8.0 | 464 | 1.1760 | 0.3232 | 1.1760 | 1.0844 |
No log | 8.0345 | 466 | 0.9843 | 0.3886 | 0.9843 | 0.9921 |
No log | 8.0690 | 468 | 0.9478 | 0.4077 | 0.9478 | 0.9735 |
No log | 8.1034 | 470 | 0.9655 | 0.3217 | 0.9655 | 0.9826 |
No log | 8.1379 | 472 | 0.9591 | 0.3451 | 0.9591 | 0.9793 |
No log | 8.1724 | 474 | 0.9908 | 0.3747 | 0.9908 | 0.9954 |
No log | 8.2069 | 476 | 1.1300 | 0.3511 | 1.1300 | 1.0630 |
No log | 8.2414 | 478 | 1.1679 | 0.3174 | 1.1679 | 1.0807 |
No log | 8.2759 | 480 | 1.0568 | 0.3561 | 1.0568 | 1.0280 |
No log | 8.3103 | 482 | 0.9436 | 0.4198 | 0.9436 | 0.9714 |
No log | 8.3448 | 484 | 0.9193 | 0.3909 | 0.9193 | 0.9588 |
No log | 8.3793 | 486 | 0.9377 | 0.4175 | 0.9377 | 0.9684 |
No log | 8.4138 | 488 | 1.1309 | 0.3317 | 1.1309 | 1.0634 |
No log | 8.4483 | 490 | 1.3273 | 0.2963 | 1.3273 | 1.1521 |
No log | 8.4828 | 492 | 1.3489 | 0.2963 | 1.3489 | 1.1614 |
No log | 8.5172 | 494 | 1.1372 | 0.3196 | 1.1372 | 1.0664 |
No log | 8.5517 | 496 | 0.9131 | 0.4624 | 0.9131 | 0.9556 |
No log | 8.5862 | 498 | 0.8920 | 0.5061 | 0.8920 | 0.9445 |
0.3389 | 8.6207 | 500 | 0.8984 | 0.4363 | 0.8984 | 0.9479 |
0.3389 | 8.6552 | 502 | 0.9038 | 0.4299 | 0.9038 | 0.9507 |
0.3389 | 8.6897 | 504 | 0.9491 | 0.4136 | 0.9491 | 0.9742 |
0.3389 | 8.7241 | 506 | 0.9580 | 0.4439 | 0.9580 | 0.9788 |
0.3389 | 8.7586 | 508 | 0.9381 | 0.4476 | 0.9381 | 0.9686 |
0.3389 | 8.7931 | 510 | 0.9449 | 0.4476 | 0.9449 | 0.9720 |
0.3389 | 8.8276 | 512 | 0.9478 | 0.4476 | 0.9478 | 0.9736 |
0.3389 | 8.8621 | 514 | 0.9536 | 0.4408 | 0.9536 | 0.9765 |
0.3389 | 8.8966 | 516 | 0.9631 | 0.4347 | 0.9631 | 0.9814 |
0.3389 | 8.9310 | 518 | 0.9616 | 0.3696 | 0.9616 | 0.9806 |
0.3389 | 8.9655 | 520 | 0.9930 | 0.3642 | 0.9930 | 0.9965 |
0.3389 | 9.0 | 522 | 0.9797 | 0.3642 | 0.9797 | 0.9898 |
0.3389 | 9.0345 | 524 | 0.9556 | 0.3692 | 0.9556 | 0.9775 |
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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_task2_organization
Base model
aubmindlab/bert-base-arabertv02