ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k13_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: 0.9002
- Qwk: 0.4144
- Mse: 0.9002
- Rmse: 0.9488
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 | 0.0426 | 2 | 4.8122 | -0.0075 | 4.8122 | 2.1937 |
No log | 0.0851 | 4 | 3.0681 | -0.0352 | 3.0681 | 1.7516 |
No log | 0.1277 | 6 | 1.8318 | 0.0198 | 1.8318 | 1.3534 |
No log | 0.1702 | 8 | 1.7537 | 0.0062 | 1.7537 | 1.3243 |
No log | 0.2128 | 10 | 2.0217 | -0.0925 | 2.0217 | 1.4219 |
No log | 0.2553 | 12 | 1.8901 | -0.1251 | 1.8901 | 1.3748 |
No log | 0.2979 | 14 | 1.6340 | 0.0376 | 1.6340 | 1.2783 |
No log | 0.3404 | 16 | 1.3868 | 0.0421 | 1.3868 | 1.1776 |
No log | 0.3830 | 18 | 1.3010 | 0.0269 | 1.3010 | 1.1406 |
No log | 0.4255 | 20 | 1.3824 | 0.0845 | 1.3824 | 1.1757 |
No log | 0.4681 | 22 | 1.3951 | 0.1604 | 1.3951 | 1.1812 |
No log | 0.5106 | 24 | 1.2458 | 0.1505 | 1.2458 | 1.1162 |
No log | 0.5532 | 26 | 1.3000 | 0.1021 | 1.3000 | 1.1402 |
No log | 0.5957 | 28 | 1.7388 | 0.0599 | 1.7388 | 1.3186 |
No log | 0.6383 | 30 | 1.8963 | 0.1439 | 1.8963 | 1.3770 |
No log | 0.6809 | 32 | 1.4723 | 0.2201 | 1.4723 | 1.2134 |
No log | 0.7234 | 34 | 1.1328 | 0.3263 | 1.1328 | 1.0643 |
No log | 0.7660 | 36 | 1.1589 | 0.3660 | 1.1589 | 1.0765 |
No log | 0.8085 | 38 | 1.1587 | 0.3011 | 1.1587 | 1.0764 |
No log | 0.8511 | 40 | 1.3795 | 0.1080 | 1.3795 | 1.1745 |
No log | 0.8936 | 42 | 1.6398 | 0.0667 | 1.6398 | 1.2805 |
No log | 0.9362 | 44 | 1.7265 | 0.0363 | 1.7265 | 1.3140 |
No log | 0.9787 | 46 | 1.5623 | 0.0766 | 1.5623 | 1.2499 |
No log | 1.0213 | 48 | 1.4806 | 0.0622 | 1.4806 | 1.2168 |
No log | 1.0638 | 50 | 1.4171 | 0.1659 | 1.4171 | 1.1904 |
No log | 1.1064 | 52 | 1.3689 | 0.1226 | 1.3689 | 1.1700 |
No log | 1.1489 | 54 | 1.1988 | 0.2622 | 1.1988 | 1.0949 |
No log | 1.1915 | 56 | 1.1914 | 0.2476 | 1.1914 | 1.0915 |
No log | 1.2340 | 58 | 1.2191 | 0.2085 | 1.2191 | 1.1041 |
No log | 1.2766 | 60 | 1.6236 | 0.1038 | 1.6236 | 1.2742 |
No log | 1.3191 | 62 | 2.0890 | 0.1509 | 2.0890 | 1.4453 |
No log | 1.3617 | 64 | 1.7839 | 0.1430 | 1.7839 | 1.3356 |
No log | 1.4043 | 66 | 1.5015 | 0.0905 | 1.5015 | 1.2254 |
No log | 1.4468 | 68 | 1.1914 | 0.1848 | 1.1914 | 1.0915 |
No log | 1.4894 | 70 | 1.0982 | 0.3189 | 1.0982 | 1.0479 |
No log | 1.5319 | 72 | 1.0573 | 0.3347 | 1.0573 | 1.0282 |
No log | 1.5745 | 74 | 1.1340 | 0.2439 | 1.1340 | 1.0649 |
No log | 1.6170 | 76 | 1.4298 | 0.0972 | 1.4298 | 1.1957 |
No log | 1.6596 | 78 | 1.6487 | 0.1508 | 1.6487 | 1.2840 |
No log | 1.7021 | 80 | 1.5029 | 0.1195 | 1.5029 | 1.2259 |
No log | 1.7447 | 82 | 1.3308 | 0.1395 | 1.3308 | 1.1536 |
No log | 1.7872 | 84 | 1.2693 | 0.1659 | 1.2693 | 1.1266 |
No log | 1.8298 | 86 | 1.1930 | 0.2390 | 1.1930 | 1.0922 |
No log | 1.8723 | 88 | 0.9546 | 0.3753 | 0.9546 | 0.9771 |
No log | 1.9149 | 90 | 0.9237 | 0.4180 | 0.9237 | 0.9611 |
No log | 1.9574 | 92 | 0.9298 | 0.4401 | 0.9298 | 0.9643 |
No log | 2.0 | 94 | 0.9353 | 0.4534 | 0.9353 | 0.9671 |
No log | 2.0426 | 96 | 0.9114 | 0.4461 | 0.9114 | 0.9547 |
No log | 2.0851 | 98 | 0.9261 | 0.4963 | 0.9261 | 0.9623 |
No log | 2.1277 | 100 | 0.9183 | 0.4377 | 0.9183 | 0.9583 |
No log | 2.1702 | 102 | 0.9270 | 0.4498 | 0.9270 | 0.9628 |
No log | 2.2128 | 104 | 0.9341 | 0.4077 | 0.9341 | 0.9665 |
No log | 2.2553 | 106 | 1.0545 | 0.3691 | 1.0545 | 1.0269 |
No log | 2.2979 | 108 | 1.0953 | 0.3193 | 1.0953 | 1.0465 |
No log | 2.3404 | 110 | 0.9748 | 0.4420 | 0.9748 | 0.9873 |
No log | 2.3830 | 112 | 0.9710 | 0.3684 | 0.9710 | 0.9854 |
No log | 2.4255 | 114 | 1.0235 | 0.4331 | 1.0235 | 1.0117 |
No log | 2.4681 | 116 | 0.9750 | 0.3938 | 0.9750 | 0.9874 |
No log | 2.5106 | 118 | 1.0305 | 0.4516 | 1.0305 | 1.0151 |
No log | 2.5532 | 120 | 0.9758 | 0.3596 | 0.9758 | 0.9878 |
No log | 2.5957 | 122 | 1.0048 | 0.4582 | 1.0048 | 1.0024 |
No log | 2.6383 | 124 | 1.0677 | 0.3850 | 1.0677 | 1.0333 |
No log | 2.6809 | 126 | 0.9952 | 0.4084 | 0.9952 | 0.9976 |
No log | 2.7234 | 128 | 0.9634 | 0.4746 | 0.9634 | 0.9815 |
No log | 2.7660 | 130 | 0.9927 | 0.3960 | 0.9927 | 0.9964 |
No log | 2.8085 | 132 | 1.0217 | 0.3544 | 1.0217 | 1.0108 |
No log | 2.8511 | 134 | 1.0128 | 0.3728 | 1.0128 | 1.0064 |
No log | 2.8936 | 136 | 0.9970 | 0.4385 | 0.9970 | 0.9985 |
No log | 2.9362 | 138 | 1.0160 | 0.3833 | 1.0160 | 1.0080 |
No log | 2.9787 | 140 | 1.0121 | 0.3961 | 1.0121 | 1.0060 |
No log | 3.0213 | 142 | 1.0128 | 0.4233 | 1.0128 | 1.0064 |
No log | 3.0638 | 144 | 1.0413 | 0.3908 | 1.0413 | 1.0205 |
No log | 3.1064 | 146 | 1.0194 | 0.3590 | 1.0194 | 1.0097 |
No log | 3.1489 | 148 | 1.0187 | 0.4053 | 1.0187 | 1.0093 |
No log | 3.1915 | 150 | 1.0415 | 0.2969 | 1.0415 | 1.0205 |
No log | 3.2340 | 152 | 1.0455 | 0.3050 | 1.0455 | 1.0225 |
No log | 3.2766 | 154 | 1.0094 | 0.3998 | 1.0094 | 1.0047 |
No log | 3.3191 | 156 | 1.0209 | 0.4304 | 1.0209 | 1.0104 |
No log | 3.3617 | 158 | 1.0673 | 0.5029 | 1.0673 | 1.0331 |
No log | 3.4043 | 160 | 1.0393 | 0.4546 | 1.0393 | 1.0195 |
No log | 3.4468 | 162 | 1.0719 | 0.4286 | 1.0719 | 1.0353 |
No log | 3.4894 | 164 | 1.0844 | 0.4080 | 1.0844 | 1.0413 |
No log | 3.5319 | 166 | 1.1426 | 0.3966 | 1.1426 | 1.0689 |
No log | 3.5745 | 168 | 0.9936 | 0.4146 | 0.9936 | 0.9968 |
No log | 3.6170 | 170 | 0.9810 | 0.4435 | 0.9810 | 0.9905 |
No log | 3.6596 | 172 | 1.0874 | 0.4233 | 1.0874 | 1.0428 |
No log | 3.7021 | 174 | 1.2268 | 0.4251 | 1.2268 | 1.1076 |
No log | 3.7447 | 176 | 1.1650 | 0.4062 | 1.1650 | 1.0794 |
No log | 3.7872 | 178 | 1.1476 | 0.2728 | 1.1476 | 1.0713 |
No log | 3.8298 | 180 | 1.3088 | 0.3410 | 1.3088 | 1.1440 |
No log | 3.8723 | 182 | 1.2345 | 0.2851 | 1.2345 | 1.1111 |
No log | 3.9149 | 184 | 1.2082 | 0.3125 | 1.2082 | 1.0992 |
No log | 3.9574 | 186 | 1.2015 | 0.2647 | 1.2015 | 1.0961 |
No log | 4.0 | 188 | 1.2311 | 0.2403 | 1.2311 | 1.1096 |
No log | 4.0426 | 190 | 1.2074 | 0.2514 | 1.2074 | 1.0988 |
No log | 4.0851 | 192 | 1.2136 | 0.3460 | 1.2136 | 1.1016 |
No log | 4.1277 | 194 | 1.2702 | 0.3000 | 1.2702 | 1.1270 |
No log | 4.1702 | 196 | 1.1295 | 0.4503 | 1.1295 | 1.0628 |
No log | 4.2128 | 198 | 1.0513 | 0.4032 | 1.0513 | 1.0253 |
No log | 4.2553 | 200 | 1.0389 | 0.2759 | 1.0389 | 1.0193 |
No log | 4.2979 | 202 | 1.0161 | 0.3436 | 1.0161 | 1.0080 |
No log | 4.3404 | 204 | 0.9792 | 0.3935 | 0.9792 | 0.9895 |
No log | 4.3830 | 206 | 0.9587 | 0.4474 | 0.9587 | 0.9791 |
No log | 4.4255 | 208 | 0.9676 | 0.3081 | 0.9676 | 0.9837 |
No log | 4.4681 | 210 | 0.9403 | 0.3243 | 0.9403 | 0.9697 |
No log | 4.5106 | 212 | 0.9305 | 0.4746 | 0.9305 | 0.9646 |
No log | 4.5532 | 214 | 0.9286 | 0.4196 | 0.9286 | 0.9636 |
No log | 4.5957 | 216 | 0.9092 | 0.4626 | 0.9092 | 0.9535 |
No log | 4.6383 | 218 | 0.9292 | 0.4366 | 0.9292 | 0.9639 |
No log | 4.6809 | 220 | 1.0650 | 0.4677 | 1.0650 | 1.0320 |
No log | 4.7234 | 222 | 1.0483 | 0.3836 | 1.0483 | 1.0239 |
No log | 4.7660 | 224 | 0.9540 | 0.3868 | 0.9540 | 0.9767 |
No log | 4.8085 | 226 | 0.9212 | 0.3796 | 0.9212 | 0.9598 |
No log | 4.8511 | 228 | 0.9229 | 0.3337 | 0.9229 | 0.9607 |
No log | 4.8936 | 230 | 0.9541 | 0.3290 | 0.9541 | 0.9768 |
No log | 4.9362 | 232 | 0.9711 | 0.3094 | 0.9711 | 0.9854 |
No log | 4.9787 | 234 | 0.9449 | 0.3290 | 0.9449 | 0.9721 |
No log | 5.0213 | 236 | 0.9448 | 0.3337 | 0.9448 | 0.9720 |
No log | 5.0638 | 238 | 0.9545 | 0.3108 | 0.9545 | 0.9770 |
No log | 5.1064 | 240 | 0.9610 | 0.3090 | 0.9610 | 0.9803 |
No log | 5.1489 | 242 | 1.0240 | 0.3966 | 1.0240 | 1.0119 |
No log | 5.1915 | 244 | 0.9936 | 0.3724 | 0.9936 | 0.9968 |
No log | 5.2340 | 246 | 0.9853 | 0.3108 | 0.9853 | 0.9926 |
No log | 5.2766 | 248 | 0.9760 | 0.3472 | 0.9760 | 0.9879 |
No log | 5.3191 | 250 | 1.0198 | 0.4579 | 1.0198 | 1.0098 |
No log | 5.3617 | 252 | 0.9965 | 0.4145 | 0.9965 | 0.9983 |
No log | 5.4043 | 254 | 0.9631 | 0.3174 | 0.9631 | 0.9814 |
No log | 5.4468 | 256 | 1.0175 | 0.3532 | 1.0175 | 1.0087 |
No log | 5.4894 | 258 | 0.9924 | 0.3614 | 0.9924 | 0.9962 |
No log | 5.5319 | 260 | 0.9456 | 0.3525 | 0.9456 | 0.9724 |
No log | 5.5745 | 262 | 0.9582 | 0.3724 | 0.9582 | 0.9789 |
No log | 5.6170 | 264 | 0.9379 | 0.3724 | 0.9379 | 0.9685 |
No log | 5.6596 | 266 | 0.9141 | 0.4084 | 0.9141 | 0.9561 |
No log | 5.7021 | 268 | 0.8953 | 0.4004 | 0.8953 | 0.9462 |
No log | 5.7447 | 270 | 0.8896 | 0.4138 | 0.8896 | 0.9432 |
No log | 5.7872 | 272 | 0.8912 | 0.4965 | 0.8912 | 0.9440 |
No log | 5.8298 | 274 | 0.9515 | 0.4477 | 0.9515 | 0.9755 |
No log | 5.8723 | 276 | 1.0620 | 0.3151 | 1.0620 | 1.0305 |
No log | 5.9149 | 278 | 1.1349 | 0.2958 | 1.1349 | 1.0653 |
No log | 5.9574 | 280 | 1.0495 | 0.3119 | 1.0495 | 1.0244 |
No log | 6.0 | 282 | 0.9618 | 0.3728 | 0.9618 | 0.9807 |
No log | 6.0426 | 284 | 0.9813 | 0.3328 | 0.9813 | 0.9906 |
No log | 6.0851 | 286 | 1.0063 | 0.3728 | 1.0063 | 1.0031 |
No log | 6.1277 | 288 | 1.0605 | 0.2865 | 1.0605 | 1.0298 |
No log | 6.1702 | 290 | 1.0486 | 0.3884 | 1.0486 | 1.0240 |
No log | 6.2128 | 292 | 1.0270 | 0.3728 | 1.0270 | 1.0134 |
No log | 6.2553 | 294 | 1.0537 | 0.3365 | 1.0537 | 1.0265 |
No log | 6.2979 | 296 | 1.0899 | 0.2984 | 1.0899 | 1.0440 |
No log | 6.3404 | 298 | 1.0007 | 0.3798 | 1.0007 | 1.0003 |
No log | 6.3830 | 300 | 0.9685 | 0.3525 | 0.9685 | 0.9841 |
No log | 6.4255 | 302 | 1.0883 | 0.2590 | 1.0883 | 1.0432 |
No log | 6.4681 | 304 | 1.1411 | 0.3197 | 1.1411 | 1.0682 |
No log | 6.5106 | 306 | 1.0022 | 0.3530 | 1.0022 | 1.0011 |
No log | 6.5532 | 308 | 0.8851 | 0.4081 | 0.8851 | 0.9408 |
No log | 6.5957 | 310 | 0.9013 | 0.4159 | 0.9013 | 0.9493 |
No log | 6.6383 | 312 | 0.9013 | 0.4081 | 0.9013 | 0.9494 |
No log | 6.6809 | 314 | 0.9667 | 0.3535 | 0.9667 | 0.9832 |
No log | 6.7234 | 316 | 1.0521 | 0.2621 | 1.0521 | 1.0257 |
No log | 6.7660 | 318 | 1.0349 | 0.2813 | 1.0349 | 1.0173 |
No log | 6.8085 | 320 | 1.0566 | 0.3157 | 1.0566 | 1.0279 |
No log | 6.8511 | 322 | 1.1358 | 0.3262 | 1.1358 | 1.0657 |
No log | 6.8936 | 324 | 1.1170 | 0.3409 | 1.1170 | 1.0569 |
No log | 6.9362 | 326 | 1.0586 | 0.2864 | 1.0586 | 1.0289 |
No log | 6.9787 | 328 | 1.0410 | 0.3271 | 1.0410 | 1.0203 |
No log | 7.0213 | 330 | 1.0320 | 0.2965 | 1.0320 | 1.0159 |
No log | 7.0638 | 332 | 1.0221 | 0.3086 | 1.0221 | 1.0110 |
No log | 7.1064 | 334 | 1.0111 | 0.4079 | 1.0111 | 1.0056 |
No log | 7.1489 | 336 | 1.0076 | 0.3715 | 1.0076 | 1.0038 |
No log | 7.1915 | 338 | 0.9910 | 0.3819 | 0.9910 | 0.9955 |
No log | 7.2340 | 340 | 0.9663 | 0.4181 | 0.9663 | 0.9830 |
No log | 7.2766 | 342 | 0.9660 | 0.3522 | 0.9660 | 0.9828 |
No log | 7.3191 | 344 | 0.9250 | 0.4879 | 0.9250 | 0.9617 |
No log | 7.3617 | 346 | 0.8838 | 0.4359 | 0.8838 | 0.9401 |
No log | 7.4043 | 348 | 0.8791 | 0.3472 | 0.8791 | 0.9376 |
No log | 7.4468 | 350 | 0.8777 | 0.4555 | 0.8777 | 0.9369 |
No log | 7.4894 | 352 | 0.9044 | 0.4620 | 0.9044 | 0.9510 |
No log | 7.5319 | 354 | 0.9123 | 0.4611 | 0.9123 | 0.9552 |
No log | 7.5745 | 356 | 0.9339 | 0.3880 | 0.9339 | 0.9664 |
No log | 7.6170 | 358 | 1.0084 | 0.3154 | 1.0084 | 1.0042 |
No log | 7.6596 | 360 | 0.9489 | 0.4405 | 0.9489 | 0.9741 |
No log | 7.7021 | 362 | 0.9001 | 0.3996 | 0.9001 | 0.9487 |
No log | 7.7447 | 364 | 1.0527 | 0.3782 | 1.0527 | 1.0260 |
No log | 7.7872 | 366 | 1.0485 | 0.3782 | 1.0485 | 1.0239 |
No log | 7.8298 | 368 | 0.9314 | 0.3996 | 0.9314 | 0.9651 |
No log | 7.8723 | 370 | 0.9201 | 0.3421 | 0.9201 | 0.9592 |
No log | 7.9149 | 372 | 0.9135 | 0.3728 | 0.9135 | 0.9557 |
No log | 7.9574 | 374 | 0.9592 | 0.4450 | 0.9592 | 0.9794 |
No log | 8.0 | 376 | 0.9563 | 0.4115 | 0.9563 | 0.9779 |
No log | 8.0426 | 378 | 0.8871 | 0.4016 | 0.8871 | 0.9419 |
No log | 8.0851 | 380 | 0.9254 | 0.3621 | 0.9254 | 0.9620 |
No log | 8.1277 | 382 | 0.9975 | 0.3864 | 0.9975 | 0.9987 |
No log | 8.1702 | 384 | 0.9820 | 0.4386 | 0.9820 | 0.9909 |
No log | 8.2128 | 386 | 0.9066 | 0.3380 | 0.9066 | 0.9522 |
No log | 8.2553 | 388 | 0.8911 | 0.4527 | 0.8911 | 0.9440 |
No log | 8.2979 | 390 | 0.9078 | 0.4235 | 0.9078 | 0.9528 |
No log | 8.3404 | 392 | 0.9014 | 0.3979 | 0.9014 | 0.9494 |
No log | 8.3830 | 394 | 0.9402 | 0.3237 | 0.9402 | 0.9697 |
No log | 8.4255 | 396 | 0.9647 | 0.3777 | 0.9647 | 0.9822 |
No log | 8.4681 | 398 | 0.9024 | 0.4142 | 0.9024 | 0.9500 |
No log | 8.5106 | 400 | 0.8656 | 0.4646 | 0.8656 | 0.9304 |
No log | 8.5532 | 402 | 0.8747 | 0.4563 | 0.8747 | 0.9352 |
No log | 8.5957 | 404 | 0.8875 | 0.4429 | 0.8875 | 0.9421 |
No log | 8.6383 | 406 | 0.9024 | 0.4397 | 0.9024 | 0.9500 |
No log | 8.6809 | 408 | 0.9119 | 0.4119 | 0.9119 | 0.9549 |
No log | 8.7234 | 410 | 0.9247 | 0.4119 | 0.9247 | 0.9616 |
No log | 8.7660 | 412 | 0.9588 | 0.3408 | 0.9588 | 0.9792 |
No log | 8.8085 | 414 | 1.0353 | 0.2233 | 1.0353 | 1.0175 |
No log | 8.8511 | 416 | 1.1303 | 0.1896 | 1.1303 | 1.0632 |
No log | 8.8936 | 418 | 1.1172 | 0.2439 | 1.1172 | 1.0570 |
No log | 8.9362 | 420 | 1.0152 | 0.3243 | 1.0152 | 1.0076 |
No log | 8.9787 | 422 | 0.9568 | 0.3090 | 0.9568 | 0.9782 |
No log | 9.0213 | 424 | 0.9590 | 0.3771 | 0.9590 | 0.9793 |
No log | 9.0638 | 426 | 0.9528 | 0.3771 | 0.9528 | 0.9761 |
No log | 9.1064 | 428 | 0.9725 | 0.3819 | 0.9725 | 0.9862 |
No log | 9.1489 | 430 | 0.9967 | 0.3449 | 0.9967 | 0.9984 |
No log | 9.1915 | 432 | 1.0234 | 0.3165 | 1.0234 | 1.0116 |
No log | 9.2340 | 434 | 1.0156 | 0.3249 | 1.0156 | 1.0078 |
No log | 9.2766 | 436 | 0.9665 | 0.3482 | 0.9665 | 0.9831 |
No log | 9.3191 | 438 | 0.9527 | 0.3987 | 0.9527 | 0.9761 |
No log | 9.3617 | 440 | 0.9565 | 0.3920 | 0.9565 | 0.9780 |
No log | 9.4043 | 442 | 0.9587 | 0.4570 | 0.9587 | 0.9792 |
No log | 9.4468 | 444 | 0.9393 | 0.4294 | 0.9393 | 0.9692 |
No log | 9.4894 | 446 | 0.9155 | 0.4388 | 0.9155 | 0.9568 |
No log | 9.5319 | 448 | 0.9139 | 0.3987 | 0.9139 | 0.9560 |
No log | 9.5745 | 450 | 0.9193 | 0.4084 | 0.9193 | 0.9588 |
No log | 9.6170 | 452 | 0.9239 | 0.4521 | 0.9239 | 0.9612 |
No log | 9.6596 | 454 | 0.9928 | 0.3602 | 0.9928 | 0.9964 |
No log | 9.7021 | 456 | 1.0517 | 0.3218 | 1.0517 | 1.0255 |
No log | 9.7447 | 458 | 1.0206 | 0.3548 | 1.0206 | 1.0103 |
No log | 9.7872 | 460 | 0.9278 | 0.4696 | 0.9278 | 0.9632 |
No log | 9.8298 | 462 | 0.9051 | 0.4313 | 0.9051 | 0.9514 |
No log | 9.8723 | 464 | 0.9253 | 0.4273 | 0.9253 | 0.9619 |
No log | 9.9149 | 466 | 0.9060 | 0.4181 | 0.9060 | 0.9519 |
No log | 9.9574 | 468 | 0.9226 | 0.4794 | 0.9226 | 0.9605 |
No log | 10.0 | 470 | 0.9506 | 0.4741 | 0.9506 | 0.9750 |
No log | 10.0426 | 472 | 0.9352 | 0.4393 | 0.9352 | 0.9670 |
No log | 10.0851 | 474 | 0.9377 | 0.4218 | 0.9377 | 0.9684 |
No log | 10.1277 | 476 | 0.9348 | 0.4218 | 0.9348 | 0.9669 |
No log | 10.1702 | 478 | 0.9387 | 0.4218 | 0.9387 | 0.9689 |
No log | 10.2128 | 480 | 0.9448 | 0.4084 | 0.9448 | 0.9720 |
No log | 10.2553 | 482 | 0.9508 | 0.4393 | 0.9508 | 0.9751 |
No log | 10.2979 | 484 | 0.9548 | 0.4434 | 0.9548 | 0.9771 |
No log | 10.3404 | 486 | 0.9490 | 0.3511 | 0.9490 | 0.9741 |
No log | 10.3830 | 488 | 0.9407 | 0.3608 | 0.9407 | 0.9699 |
No log | 10.4255 | 490 | 0.9312 | 0.3608 | 0.9312 | 0.9650 |
No log | 10.4681 | 492 | 0.9125 | 0.4084 | 0.9125 | 0.9552 |
No log | 10.5106 | 494 | 0.8901 | 0.4352 | 0.8901 | 0.9435 |
No log | 10.5532 | 496 | 0.8825 | 0.4346 | 0.8825 | 0.9394 |
No log | 10.5957 | 498 | 0.8902 | 0.4527 | 0.8902 | 0.9435 |
0.3308 | 10.6383 | 500 | 0.8867 | 0.4540 | 0.8867 | 0.9416 |
0.3308 | 10.6809 | 502 | 0.8795 | 0.4429 | 0.8795 | 0.9378 |
0.3308 | 10.7234 | 504 | 0.8847 | 0.4681 | 0.8847 | 0.9406 |
0.3308 | 10.7660 | 506 | 0.8818 | 0.4626 | 0.8818 | 0.9390 |
0.3308 | 10.8085 | 508 | 0.8752 | 0.4626 | 0.8752 | 0.9355 |
0.3308 | 10.8511 | 510 | 0.8616 | 0.4393 | 0.8616 | 0.9283 |
0.3308 | 10.8936 | 512 | 0.8578 | 0.4450 | 0.8578 | 0.9262 |
0.3308 | 10.9362 | 514 | 0.8730 | 0.4409 | 0.8730 | 0.9343 |
0.3308 | 10.9787 | 516 | 0.8715 | 0.4181 | 0.8715 | 0.9335 |
0.3308 | 11.0213 | 518 | 0.9002 | 0.4144 | 0.9002 | 0.9488 |
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_run2_AugV5_k13_task2_organization
Base model
aubmindlab/bert-base-arabertv02