ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_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: 0.7162
- Qwk: 0.3504
- Mse: 0.7162
- Rmse: 0.8463
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 | 0.0235 | 2 | 4.3267 | -0.0197 | 4.3267 | 2.0801 |
No log | 0.0471 | 4 | 2.1727 | 0.0784 | 2.1727 | 1.4740 |
No log | 0.0706 | 6 | 1.1553 | -0.0217 | 1.1553 | 1.0748 |
No log | 0.0941 | 8 | 0.8811 | 0.0735 | 0.8811 | 0.9387 |
No log | 0.1176 | 10 | 0.8855 | 0.1163 | 0.8855 | 0.9410 |
No log | 0.1412 | 12 | 0.9492 | 0.0093 | 0.9492 | 0.9743 |
No log | 0.1647 | 14 | 1.2053 | 0.0312 | 1.2053 | 1.0978 |
No log | 0.1882 | 16 | 1.2658 | 0.0262 | 1.2658 | 1.1251 |
No log | 0.2118 | 18 | 1.0324 | 0.0257 | 1.0324 | 1.0160 |
No log | 0.2353 | 20 | 0.8690 | 0.2324 | 0.8690 | 0.9322 |
No log | 0.2588 | 22 | 0.8716 | 0.1107 | 0.8716 | 0.9336 |
No log | 0.2824 | 24 | 0.8645 | 0.1657 | 0.8645 | 0.9298 |
No log | 0.3059 | 26 | 0.8783 | 0.0937 | 0.8783 | 0.9372 |
No log | 0.3294 | 28 | 0.8689 | 0.0660 | 0.8689 | 0.9321 |
No log | 0.3529 | 30 | 0.8908 | 0.0781 | 0.8908 | 0.9438 |
No log | 0.3765 | 32 | 0.8826 | 0.2056 | 0.8826 | 0.9395 |
No log | 0.4 | 34 | 0.8887 | 0.1735 | 0.8887 | 0.9427 |
No log | 0.4235 | 36 | 0.9533 | 0.0855 | 0.9533 | 0.9764 |
No log | 0.4471 | 38 | 1.0007 | 0.0444 | 1.0007 | 1.0004 |
No log | 0.4706 | 40 | 1.1457 | -0.0493 | 1.1457 | 1.0704 |
No log | 0.4941 | 42 | 1.1005 | 0.0119 | 1.1005 | 1.0491 |
No log | 0.5176 | 44 | 0.8991 | 0.0675 | 0.8991 | 0.9482 |
No log | 0.5412 | 46 | 0.8516 | 0.1101 | 0.8516 | 0.9228 |
No log | 0.5647 | 48 | 0.8485 | 0.1347 | 0.8485 | 0.9212 |
No log | 0.5882 | 50 | 0.8509 | 0.1651 | 0.8509 | 0.9225 |
No log | 0.6118 | 52 | 0.8707 | 0.1331 | 0.8707 | 0.9331 |
No log | 0.6353 | 54 | 0.9146 | 0.0912 | 0.9146 | 0.9563 |
No log | 0.6588 | 56 | 0.9072 | 0.1503 | 0.9072 | 0.9525 |
No log | 0.6824 | 58 | 0.9546 | 0.1256 | 0.9546 | 0.9771 |
No log | 0.7059 | 60 | 0.9464 | 0.1550 | 0.9464 | 0.9728 |
No log | 0.7294 | 62 | 0.8747 | 0.1475 | 0.8747 | 0.9352 |
No log | 0.7529 | 64 | 0.8655 | 0.1633 | 0.8655 | 0.9303 |
No log | 0.7765 | 66 | 1.0379 | 0.0603 | 1.0379 | 1.0188 |
No log | 0.8 | 68 | 1.1191 | 0.1310 | 1.1191 | 1.0579 |
No log | 0.8235 | 70 | 0.9724 | 0.1583 | 0.9724 | 0.9861 |
No log | 0.8471 | 72 | 0.8277 | 0.0797 | 0.8277 | 0.9098 |
No log | 0.8706 | 74 | 0.8054 | 0.1571 | 0.8054 | 0.8974 |
No log | 0.8941 | 76 | 0.9201 | 0.1205 | 0.9201 | 0.9592 |
No log | 0.9176 | 78 | 1.1725 | 0.0630 | 1.1725 | 1.0828 |
No log | 0.9412 | 80 | 1.2267 | 0.0305 | 1.2267 | 1.1075 |
No log | 0.9647 | 82 | 1.0185 | 0.1016 | 1.0185 | 1.0092 |
No log | 0.9882 | 84 | 0.8412 | 0.1931 | 0.8412 | 0.9172 |
No log | 1.0118 | 86 | 0.7821 | 0.2452 | 0.7821 | 0.8843 |
No log | 1.0353 | 88 | 0.8116 | 0.2486 | 0.8116 | 0.9009 |
No log | 1.0588 | 90 | 0.8462 | 0.2071 | 0.8462 | 0.9199 |
No log | 1.0824 | 92 | 0.8336 | 0.2283 | 0.8336 | 0.9130 |
No log | 1.1059 | 94 | 0.8300 | 0.2862 | 0.8300 | 0.9110 |
No log | 1.1294 | 96 | 0.8580 | 0.2519 | 0.8580 | 0.9263 |
No log | 1.1529 | 98 | 0.8391 | 0.2469 | 0.8391 | 0.9160 |
No log | 1.1765 | 100 | 0.8435 | 0.2136 | 0.8435 | 0.9184 |
No log | 1.2 | 102 | 0.8185 | 0.2756 | 0.8185 | 0.9047 |
No log | 1.2235 | 104 | 0.8319 | 0.2149 | 0.8319 | 0.9121 |
No log | 1.2471 | 106 | 0.7989 | 0.2988 | 0.7989 | 0.8938 |
No log | 1.2706 | 108 | 0.8103 | 0.1861 | 0.8103 | 0.9002 |
No log | 1.2941 | 110 | 0.8527 | 0.2429 | 0.8527 | 0.9234 |
No log | 1.3176 | 112 | 0.7947 | 0.2764 | 0.7947 | 0.8915 |
No log | 1.3412 | 114 | 0.7858 | 0.3001 | 0.7858 | 0.8865 |
No log | 1.3647 | 116 | 0.8388 | 0.2455 | 0.8388 | 0.9159 |
No log | 1.3882 | 118 | 0.7915 | 0.3186 | 0.7915 | 0.8897 |
No log | 1.4118 | 120 | 0.7882 | 0.2634 | 0.7882 | 0.8878 |
No log | 1.4353 | 122 | 0.7852 | 0.2845 | 0.7852 | 0.8861 |
No log | 1.4588 | 124 | 0.8095 | 0.3441 | 0.8095 | 0.8997 |
No log | 1.4824 | 126 | 0.8321 | 0.3134 | 0.8321 | 0.9122 |
No log | 1.5059 | 128 | 1.0706 | 0.3598 | 1.0706 | 1.0347 |
No log | 1.5294 | 130 | 1.0935 | 0.3475 | 1.0935 | 1.0457 |
No log | 1.5529 | 132 | 0.8293 | 0.4100 | 0.8293 | 0.9107 |
No log | 1.5765 | 134 | 0.7863 | 0.3380 | 0.7863 | 0.8867 |
No log | 1.6 | 136 | 0.7664 | 0.3663 | 0.7664 | 0.8754 |
No log | 1.6235 | 138 | 0.7828 | 0.3906 | 0.7828 | 0.8848 |
No log | 1.6471 | 140 | 1.0595 | 0.3607 | 1.0595 | 1.0293 |
No log | 1.6706 | 142 | 1.1994 | 0.2764 | 1.1994 | 1.0952 |
No log | 1.6941 | 144 | 1.0470 | 0.3601 | 1.0470 | 1.0232 |
No log | 1.7176 | 146 | 0.8330 | 0.3762 | 0.8330 | 0.9127 |
No log | 1.7412 | 148 | 0.7921 | 0.3708 | 0.7921 | 0.8900 |
No log | 1.7647 | 150 | 0.8153 | 0.3620 | 0.8153 | 0.9029 |
No log | 1.7882 | 152 | 0.9238 | 0.3578 | 0.9238 | 0.9611 |
No log | 1.8118 | 154 | 1.1117 | 0.3207 | 1.1117 | 1.0544 |
No log | 1.8353 | 156 | 1.0058 | 0.3259 | 1.0058 | 1.0029 |
No log | 1.8588 | 158 | 0.9387 | 0.3177 | 0.9387 | 0.9689 |
No log | 1.8824 | 160 | 1.0153 | 0.3259 | 1.0153 | 1.0076 |
No log | 1.9059 | 162 | 1.1930 | 0.2753 | 1.1930 | 1.0922 |
No log | 1.9294 | 164 | 1.1106 | 0.2983 | 1.1106 | 1.0539 |
No log | 1.9529 | 166 | 0.8096 | 0.3451 | 0.8096 | 0.8998 |
No log | 1.9765 | 168 | 0.7098 | 0.3283 | 0.7098 | 0.8425 |
No log | 2.0 | 170 | 0.7143 | 0.3206 | 0.7143 | 0.8452 |
No log | 2.0235 | 172 | 0.6658 | 0.3658 | 0.6658 | 0.8160 |
No log | 2.0471 | 174 | 0.7283 | 0.3836 | 0.7283 | 0.8534 |
No log | 2.0706 | 176 | 0.8396 | 0.3922 | 0.8396 | 0.9163 |
No log | 2.0941 | 178 | 0.8699 | 0.4201 | 0.8699 | 0.9327 |
No log | 2.1176 | 180 | 0.7710 | 0.3931 | 0.7710 | 0.8780 |
No log | 2.1412 | 182 | 0.7292 | 0.3296 | 0.7292 | 0.8539 |
No log | 2.1647 | 184 | 0.7315 | 0.3196 | 0.7315 | 0.8552 |
No log | 2.1882 | 186 | 0.7272 | 0.3415 | 0.7272 | 0.8528 |
No log | 2.2118 | 188 | 0.7372 | 0.3081 | 0.7372 | 0.8586 |
No log | 2.2353 | 190 | 0.7299 | 0.3402 | 0.7299 | 0.8544 |
No log | 2.2588 | 192 | 0.7240 | 0.3337 | 0.7240 | 0.8509 |
No log | 2.2824 | 194 | 0.7337 | 0.3166 | 0.7337 | 0.8565 |
No log | 2.3059 | 196 | 0.7699 | 0.3406 | 0.7699 | 0.8775 |
No log | 2.3294 | 198 | 0.7489 | 0.2972 | 0.7489 | 0.8654 |
No log | 2.3529 | 200 | 0.7549 | 0.2972 | 0.7549 | 0.8688 |
No log | 2.3765 | 202 | 0.7372 | 0.3224 | 0.7372 | 0.8586 |
No log | 2.4 | 204 | 0.7486 | 0.2880 | 0.7486 | 0.8652 |
No log | 2.4235 | 206 | 0.7344 | 0.3241 | 0.7344 | 0.8569 |
No log | 2.4471 | 208 | 0.7455 | 0.2704 | 0.7455 | 0.8634 |
No log | 2.4706 | 210 | 0.7735 | 0.2929 | 0.7735 | 0.8795 |
No log | 2.4941 | 212 | 0.7480 | 0.2968 | 0.7480 | 0.8649 |
No log | 2.5176 | 214 | 0.7556 | 0.2493 | 0.7556 | 0.8693 |
No log | 2.5412 | 216 | 0.7053 | 0.2972 | 0.7053 | 0.8398 |
No log | 2.5647 | 218 | 0.6909 | 0.3838 | 0.6909 | 0.8312 |
No log | 2.5882 | 220 | 0.6881 | 0.3596 | 0.6881 | 0.8295 |
No log | 2.6118 | 222 | 0.7212 | 0.3125 | 0.7212 | 0.8492 |
No log | 2.6353 | 224 | 0.8279 | 0.3459 | 0.8279 | 0.9099 |
No log | 2.6588 | 226 | 0.7961 | 0.3775 | 0.7961 | 0.8923 |
No log | 2.6824 | 228 | 0.7015 | 0.4217 | 0.7015 | 0.8376 |
No log | 2.7059 | 230 | 0.6955 | 0.3811 | 0.6955 | 0.8340 |
No log | 2.7294 | 232 | 0.7002 | 0.4140 | 0.7002 | 0.8368 |
No log | 2.7529 | 234 | 0.7614 | 0.4108 | 0.7614 | 0.8726 |
No log | 2.7765 | 236 | 0.8003 | 0.3735 | 0.8003 | 0.8946 |
No log | 2.8 | 238 | 0.9743 | 0.3479 | 0.9743 | 0.9871 |
No log | 2.8235 | 240 | 1.0075 | 0.3278 | 1.0075 | 1.0038 |
No log | 2.8471 | 242 | 0.9563 | 0.3466 | 0.9563 | 0.9779 |
No log | 2.8706 | 244 | 0.8384 | 0.3728 | 0.8384 | 0.9156 |
No log | 2.8941 | 246 | 0.7442 | 0.3702 | 0.7442 | 0.8627 |
No log | 2.9176 | 248 | 0.7219 | 0.3495 | 0.7219 | 0.8496 |
No log | 2.9412 | 250 | 0.7281 | 0.4028 | 0.7281 | 0.8533 |
No log | 2.9647 | 252 | 0.7229 | 0.3999 | 0.7229 | 0.8502 |
No log | 2.9882 | 254 | 0.7362 | 0.4049 | 0.7362 | 0.8580 |
No log | 3.0118 | 256 | 0.7998 | 0.3923 | 0.7998 | 0.8943 |
No log | 3.0353 | 258 | 0.8926 | 0.4031 | 0.8926 | 0.9448 |
No log | 3.0588 | 260 | 0.7809 | 0.3678 | 0.7809 | 0.8837 |
No log | 3.0824 | 262 | 0.6564 | 0.3557 | 0.6564 | 0.8102 |
No log | 3.1059 | 264 | 0.6824 | 0.3706 | 0.6824 | 0.8261 |
No log | 3.1294 | 266 | 0.6748 | 0.3462 | 0.6748 | 0.8215 |
No log | 3.1529 | 268 | 0.6796 | 0.2034 | 0.6796 | 0.8243 |
No log | 3.1765 | 270 | 0.7133 | 0.3059 | 0.7133 | 0.8445 |
No log | 3.2 | 272 | 0.6994 | 0.2938 | 0.6994 | 0.8363 |
No log | 3.2235 | 274 | 0.7115 | 0.3510 | 0.7115 | 0.8435 |
No log | 3.2471 | 276 | 0.7278 | 0.3828 | 0.7278 | 0.8531 |
No log | 3.2706 | 278 | 0.7956 | 0.3548 | 0.7956 | 0.8919 |
No log | 3.2941 | 280 | 0.8102 | 0.3699 | 0.8102 | 0.9001 |
No log | 3.3176 | 282 | 0.7268 | 0.3947 | 0.7268 | 0.8525 |
No log | 3.3412 | 284 | 0.6948 | 0.3647 | 0.6948 | 0.8335 |
No log | 3.3647 | 286 | 0.7423 | 0.3472 | 0.7423 | 0.8615 |
No log | 3.3882 | 288 | 0.8223 | 0.3577 | 0.8223 | 0.9068 |
No log | 3.4118 | 290 | 0.8209 | 0.3678 | 0.8209 | 0.9060 |
No log | 3.4353 | 292 | 0.7224 | 0.3870 | 0.7224 | 0.8499 |
No log | 3.4588 | 294 | 0.7442 | 0.3691 | 0.7442 | 0.8627 |
No log | 3.4824 | 296 | 0.6850 | 0.3828 | 0.6850 | 0.8276 |
No log | 3.5059 | 298 | 0.6704 | 0.3258 | 0.6704 | 0.8188 |
No log | 3.5294 | 300 | 0.6868 | 0.3412 | 0.6868 | 0.8287 |
No log | 3.5529 | 302 | 0.7002 | 0.3290 | 0.7002 | 0.8368 |
No log | 3.5765 | 304 | 0.7095 | 0.2980 | 0.7095 | 0.8423 |
No log | 3.6 | 306 | 0.6844 | 0.2415 | 0.6844 | 0.8273 |
No log | 3.6235 | 308 | 0.6805 | 0.2844 | 0.6805 | 0.8249 |
No log | 3.6471 | 310 | 0.7057 | 0.2419 | 0.7057 | 0.8400 |
No log | 3.6706 | 312 | 0.7193 | 0.3801 | 0.7193 | 0.8481 |
No log | 3.6941 | 314 | 0.7354 | 0.3394 | 0.7354 | 0.8576 |
No log | 3.7176 | 316 | 0.7831 | 0.3413 | 0.7831 | 0.8850 |
No log | 3.7412 | 318 | 0.7511 | 0.3555 | 0.7511 | 0.8667 |
No log | 3.7647 | 320 | 0.7626 | 0.3045 | 0.7626 | 0.8733 |
No log | 3.7882 | 322 | 0.7319 | 0.3208 | 0.7319 | 0.8555 |
No log | 3.8118 | 324 | 0.7322 | 0.2998 | 0.7322 | 0.8557 |
No log | 3.8353 | 326 | 0.7259 | 0.3376 | 0.7259 | 0.8520 |
No log | 3.8588 | 328 | 0.7186 | 0.3344 | 0.7186 | 0.8477 |
No log | 3.8824 | 330 | 0.7199 | 0.3687 | 0.7199 | 0.8485 |
No log | 3.9059 | 332 | 0.7141 | 0.4327 | 0.7141 | 0.8450 |
No log | 3.9294 | 334 | 0.7504 | 0.4222 | 0.7504 | 0.8663 |
No log | 3.9529 | 336 | 0.8497 | 0.3950 | 0.8497 | 0.9218 |
No log | 3.9765 | 338 | 0.7761 | 0.4267 | 0.7761 | 0.8809 |
No log | 4.0 | 340 | 0.6425 | 0.4506 | 0.6425 | 0.8015 |
No log | 4.0235 | 342 | 0.6247 | 0.3471 | 0.6247 | 0.7904 |
No log | 4.0471 | 344 | 0.6409 | 0.4507 | 0.6409 | 0.8005 |
No log | 4.0706 | 346 | 0.6434 | 0.4605 | 0.6434 | 0.8022 |
No log | 4.0941 | 348 | 0.6344 | 0.4797 | 0.6344 | 0.7965 |
No log | 4.1176 | 350 | 0.6556 | 0.4327 | 0.6556 | 0.8097 |
No log | 4.1412 | 352 | 0.6759 | 0.4282 | 0.6759 | 0.8221 |
No log | 4.1647 | 354 | 0.7585 | 0.4306 | 0.7585 | 0.8709 |
No log | 4.1882 | 356 | 0.7859 | 0.4250 | 0.7859 | 0.8865 |
No log | 4.2118 | 358 | 0.7152 | 0.3696 | 0.7152 | 0.8457 |
No log | 4.2353 | 360 | 0.6880 | 0.3747 | 0.6880 | 0.8295 |
No log | 4.2588 | 362 | 0.6872 | 0.3772 | 0.6872 | 0.8289 |
No log | 4.2824 | 364 | 0.7331 | 0.3446 | 0.7331 | 0.8562 |
No log | 4.3059 | 366 | 0.8897 | 0.3556 | 0.8897 | 0.9433 |
No log | 4.3294 | 368 | 0.8723 | 0.3782 | 0.8723 | 0.9340 |
No log | 4.3529 | 370 | 0.7325 | 0.3288 | 0.7325 | 0.8558 |
No log | 4.3765 | 372 | 0.6929 | 0.3682 | 0.6929 | 0.8324 |
No log | 4.4 | 374 | 0.6833 | 0.3511 | 0.6833 | 0.8266 |
No log | 4.4235 | 376 | 0.6843 | 0.3329 | 0.6843 | 0.8272 |
No log | 4.4471 | 378 | 0.7003 | 0.2905 | 0.7003 | 0.8368 |
No log | 4.4706 | 380 | 0.6676 | 0.3169 | 0.6676 | 0.8171 |
No log | 4.4941 | 382 | 0.6639 | 0.3145 | 0.6639 | 0.8148 |
No log | 4.5176 | 384 | 0.6676 | 0.2884 | 0.6676 | 0.8171 |
No log | 4.5412 | 386 | 0.6721 | 0.3536 | 0.6721 | 0.8198 |
No log | 4.5647 | 388 | 0.6735 | 0.3143 | 0.6735 | 0.8207 |
No log | 4.5882 | 390 | 0.6982 | 0.3582 | 0.6982 | 0.8356 |
No log | 4.6118 | 392 | 0.7081 | 0.3548 | 0.7081 | 0.8415 |
No log | 4.6353 | 394 | 0.6854 | 0.3738 | 0.6854 | 0.8279 |
No log | 4.6588 | 396 | 0.6526 | 0.2315 | 0.6526 | 0.8079 |
No log | 4.6824 | 398 | 0.6457 | 0.3584 | 0.6457 | 0.8036 |
No log | 4.7059 | 400 | 0.6655 | 0.3781 | 0.6655 | 0.8158 |
No log | 4.7294 | 402 | 0.7421 | 0.4013 | 0.7421 | 0.8615 |
No log | 4.7529 | 404 | 0.8328 | 0.3837 | 0.8328 | 0.9126 |
No log | 4.7765 | 406 | 0.7733 | 0.3866 | 0.7733 | 0.8794 |
No log | 4.8 | 408 | 0.6377 | 0.4453 | 0.6377 | 0.7986 |
No log | 4.8235 | 410 | 0.6741 | 0.4131 | 0.6741 | 0.8211 |
No log | 4.8471 | 412 | 0.6877 | 0.4108 | 0.6877 | 0.8293 |
No log | 4.8706 | 414 | 0.6186 | 0.4415 | 0.6186 | 0.7865 |
No log | 4.8941 | 416 | 0.6638 | 0.4431 | 0.6638 | 0.8147 |
No log | 4.9176 | 418 | 0.8004 | 0.3867 | 0.8004 | 0.8946 |
No log | 4.9412 | 420 | 0.7816 | 0.3867 | 0.7816 | 0.8841 |
No log | 4.9647 | 422 | 0.6581 | 0.4419 | 0.6581 | 0.8112 |
No log | 4.9882 | 424 | 0.6499 | 0.4773 | 0.6499 | 0.8061 |
No log | 5.0118 | 426 | 0.6516 | 0.4889 | 0.6516 | 0.8072 |
No log | 5.0353 | 428 | 0.6105 | 0.5011 | 0.6105 | 0.7814 |
No log | 5.0588 | 430 | 0.6791 | 0.3958 | 0.6791 | 0.8241 |
No log | 5.0824 | 432 | 0.7388 | 0.4155 | 0.7388 | 0.8595 |
No log | 5.1059 | 434 | 0.6850 | 0.4047 | 0.6850 | 0.8277 |
No log | 5.1294 | 436 | 0.6272 | 0.5288 | 0.6272 | 0.7920 |
No log | 5.1529 | 438 | 0.6795 | 0.4311 | 0.6795 | 0.8243 |
No log | 5.1765 | 440 | 0.7225 | 0.4311 | 0.7225 | 0.8500 |
No log | 5.2 | 442 | 0.6760 | 0.4384 | 0.6760 | 0.8222 |
No log | 5.2235 | 444 | 0.6889 | 0.4255 | 0.6889 | 0.8300 |
No log | 5.2471 | 446 | 0.7971 | 0.4096 | 0.7971 | 0.8928 |
No log | 5.2706 | 448 | 0.8075 | 0.3778 | 0.8075 | 0.8986 |
No log | 5.2941 | 450 | 0.7685 | 0.3957 | 0.7685 | 0.8766 |
No log | 5.3176 | 452 | 0.6860 | 0.4112 | 0.6860 | 0.8283 |
No log | 5.3412 | 454 | 0.6643 | 0.3144 | 0.6643 | 0.8150 |
No log | 5.3647 | 456 | 0.6705 | 0.3626 | 0.6705 | 0.8189 |
No log | 5.3882 | 458 | 0.6709 | 0.3587 | 0.6709 | 0.8191 |
No log | 5.4118 | 460 | 0.6658 | 0.3626 | 0.6658 | 0.8160 |
No log | 5.4353 | 462 | 0.6625 | 0.3777 | 0.6625 | 0.8140 |
No log | 5.4588 | 464 | 0.6724 | 0.3794 | 0.6724 | 0.8200 |
No log | 5.4824 | 466 | 0.6631 | 0.4038 | 0.6631 | 0.8143 |
No log | 5.5059 | 468 | 0.7171 | 0.3748 | 0.7171 | 0.8468 |
No log | 5.5294 | 470 | 0.7688 | 0.3989 | 0.7688 | 0.8768 |
No log | 5.5529 | 472 | 0.7162 | 0.3497 | 0.7162 | 0.8463 |
No log | 5.5765 | 474 | 0.6510 | 0.3941 | 0.6510 | 0.8068 |
No log | 5.6 | 476 | 0.6505 | 0.3559 | 0.6505 | 0.8066 |
No log | 5.6235 | 478 | 0.6417 | 0.4181 | 0.6417 | 0.8011 |
No log | 5.6471 | 480 | 0.6674 | 0.3059 | 0.6674 | 0.8169 |
No log | 5.6706 | 482 | 0.7341 | 0.3105 | 0.7341 | 0.8568 |
No log | 5.6941 | 484 | 0.8032 | 0.3953 | 0.8032 | 0.8962 |
No log | 5.7176 | 486 | 0.7633 | 0.3874 | 0.7633 | 0.8737 |
No log | 5.7412 | 488 | 0.6817 | 0.3957 | 0.6817 | 0.8257 |
No log | 5.7647 | 490 | 0.6677 | 0.3938 | 0.6677 | 0.8171 |
No log | 5.7882 | 492 | 0.6708 | 0.3931 | 0.6708 | 0.8190 |
No log | 5.8118 | 494 | 0.6803 | 0.3662 | 0.6803 | 0.8248 |
No log | 5.8353 | 496 | 0.6761 | 0.3646 | 0.6761 | 0.8223 |
No log | 5.8588 | 498 | 0.6694 | 0.3747 | 0.6694 | 0.8182 |
0.4205 | 5.8824 | 500 | 0.6683 | 0.3528 | 0.6683 | 0.8175 |
0.4205 | 5.9059 | 502 | 0.6784 | 0.3413 | 0.6784 | 0.8237 |
0.4205 | 5.9294 | 504 | 0.6716 | 0.3809 | 0.6716 | 0.8195 |
0.4205 | 5.9529 | 506 | 0.6696 | 0.3917 | 0.6696 | 0.8183 |
0.4205 | 5.9765 | 508 | 0.6890 | 0.3653 | 0.6890 | 0.8301 |
0.4205 | 6.0 | 510 | 0.7259 | 0.4064 | 0.7259 | 0.8520 |
0.4205 | 6.0235 | 512 | 0.7077 | 0.4222 | 0.7077 | 0.8412 |
0.4205 | 6.0471 | 514 | 0.7150 | 0.3425 | 0.7150 | 0.8456 |
0.4205 | 6.0706 | 516 | 0.7411 | 0.3216 | 0.7411 | 0.8609 |
0.4205 | 6.0941 | 518 | 0.7114 | 0.3070 | 0.7114 | 0.8435 |
0.4205 | 6.1176 | 520 | 0.7044 | 0.3146 | 0.7044 | 0.8393 |
0.4205 | 6.1412 | 522 | 0.7162 | 0.3504 | 0.7162 | 0.8463 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task2_organization
Base model
aubmindlab/bert-base-arabertv02