ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_task7_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: 0.6275
- Qwk: 0.4934
- Mse: 0.6275
- Rmse: 0.7921
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 | 0.0690 | 2 | 2.5413 | -0.0788 | 2.5413 | 1.5941 |
| No log | 0.1379 | 4 | 1.3006 | 0.0692 | 1.3006 | 1.1405 |
| No log | 0.2069 | 6 | 1.1754 | -0.1304 | 1.1754 | 1.0841 |
| No log | 0.2759 | 8 | 1.0247 | -0.0918 | 1.0247 | 1.0123 |
| No log | 0.3448 | 10 | 1.0538 | -0.0007 | 1.0538 | 1.0265 |
| No log | 0.4138 | 12 | 1.0131 | -0.1389 | 1.0131 | 1.0065 |
| No log | 0.4828 | 14 | 0.9353 | -0.0054 | 0.9353 | 0.9671 |
| No log | 0.5517 | 16 | 0.9644 | 0.0053 | 0.9644 | 0.9820 |
| No log | 0.6207 | 18 | 1.0759 | 0.0957 | 1.0759 | 1.0372 |
| No log | 0.6897 | 20 | 1.1501 | 0.0975 | 1.1501 | 1.0724 |
| No log | 0.7586 | 22 | 1.0725 | 0.0970 | 1.0725 | 1.0356 |
| No log | 0.8276 | 24 | 0.8867 | 0.1372 | 0.8867 | 0.9416 |
| No log | 0.8966 | 26 | 0.8001 | 0.1232 | 0.8001 | 0.8945 |
| No log | 0.9655 | 28 | 0.7965 | 0.0966 | 0.7965 | 0.8924 |
| No log | 1.0345 | 30 | 0.7803 | 0.0966 | 0.7803 | 0.8833 |
| No log | 1.1034 | 32 | 0.7457 | 0.1718 | 0.7457 | 0.8635 |
| No log | 1.1724 | 34 | 0.8340 | 0.1358 | 0.8340 | 0.9132 |
| No log | 1.2414 | 36 | 0.9803 | 0.0970 | 0.9803 | 0.9901 |
| No log | 1.3103 | 38 | 0.9511 | 0.1639 | 0.9511 | 0.9752 |
| No log | 1.3793 | 40 | 0.7930 | 0.1786 | 0.7930 | 0.8905 |
| No log | 1.4483 | 42 | 0.7776 | 0.0481 | 0.7776 | 0.8818 |
| No log | 1.5172 | 44 | 0.7767 | 0.0937 | 0.7767 | 0.8813 |
| No log | 1.5862 | 46 | 0.7914 | 0.0937 | 0.7914 | 0.8896 |
| No log | 1.6552 | 48 | 0.7987 | 0.0937 | 0.7987 | 0.8937 |
| No log | 1.7241 | 50 | 0.8408 | 0.0944 | 0.8408 | 0.9169 |
| No log | 1.7931 | 52 | 0.7635 | 0.0937 | 0.7635 | 0.8738 |
| No log | 1.8621 | 54 | 0.7503 | 0.0937 | 0.7503 | 0.8662 |
| No log | 1.9310 | 56 | 0.7614 | 0.0937 | 0.7614 | 0.8726 |
| No log | 2.0 | 58 | 0.7287 | 0.1591 | 0.7287 | 0.8536 |
| No log | 2.0690 | 60 | 0.7439 | 0.0393 | 0.7439 | 0.8625 |
| No log | 2.1379 | 62 | 0.7656 | 0.0893 | 0.7656 | 0.8750 |
| No log | 2.2069 | 64 | 0.7430 | 0.0444 | 0.7430 | 0.8620 |
| No log | 2.2759 | 66 | 0.7531 | -0.0051 | 0.7531 | 0.8678 |
| No log | 2.3448 | 68 | 0.7795 | 0.1550 | 0.7795 | 0.8829 |
| No log | 2.4138 | 70 | 0.7995 | 0.1863 | 0.7995 | 0.8941 |
| No log | 2.4828 | 72 | 0.7965 | 0.1407 | 0.7965 | 0.8925 |
| No log | 2.5517 | 74 | 0.7686 | 0.0376 | 0.7686 | 0.8767 |
| No log | 2.6207 | 76 | 0.7707 | -0.0426 | 0.7707 | 0.8779 |
| No log | 2.6897 | 78 | 0.8117 | 0.1352 | 0.8117 | 0.9009 |
| No log | 2.7586 | 80 | 0.8000 | 0.0501 | 0.8000 | 0.8944 |
| No log | 2.8276 | 82 | 0.7567 | 0.0330 | 0.7567 | 0.8699 |
| No log | 2.8966 | 84 | 0.7568 | 0.3197 | 0.7568 | 0.8700 |
| No log | 2.9655 | 86 | 0.7506 | 0.2121 | 0.7506 | 0.8664 |
| No log | 3.0345 | 88 | 0.7545 | 0.1094 | 0.7545 | 0.8686 |
| No log | 3.1034 | 90 | 0.7647 | 0.0643 | 0.7647 | 0.8745 |
| No log | 3.1724 | 92 | 0.7551 | 0.0327 | 0.7551 | 0.8689 |
| No log | 3.2414 | 94 | 0.7481 | 0.1050 | 0.7481 | 0.8649 |
| No log | 3.3103 | 96 | 0.7469 | 0.2890 | 0.7469 | 0.8643 |
| No log | 3.3793 | 98 | 0.7855 | 0.1492 | 0.7855 | 0.8863 |
| No log | 3.4483 | 100 | 0.9540 | 0.1476 | 0.9540 | 0.9767 |
| No log | 3.5172 | 102 | 1.0538 | 0.2044 | 1.0538 | 1.0265 |
| No log | 3.5862 | 104 | 0.9654 | 0.1476 | 0.9654 | 0.9825 |
| No log | 3.6552 | 106 | 0.8472 | 0.1682 | 0.8472 | 0.9205 |
| No log | 3.7241 | 108 | 0.8145 | 0.2718 | 0.8145 | 0.9025 |
| No log | 3.7931 | 110 | 0.8615 | 0.2605 | 0.8615 | 0.9282 |
| No log | 3.8621 | 112 | 0.8661 | 0.2932 | 0.8661 | 0.9307 |
| No log | 3.9310 | 114 | 0.7920 | 0.1953 | 0.7920 | 0.8899 |
| No log | 4.0 | 116 | 0.8130 | 0.2621 | 0.8130 | 0.9017 |
| No log | 4.0690 | 118 | 0.8785 | 0.2096 | 0.8785 | 0.9373 |
| No log | 4.1379 | 120 | 0.8202 | 0.1140 | 0.8202 | 0.9056 |
| No log | 4.2069 | 122 | 0.8129 | 0.2038 | 0.8129 | 0.9016 |
| No log | 4.2759 | 124 | 0.8400 | 0.2325 | 0.8400 | 0.9165 |
| No log | 4.3448 | 126 | 0.8746 | 0.1754 | 0.8746 | 0.9352 |
| No log | 4.4138 | 128 | 0.8364 | 0.1259 | 0.8364 | 0.9145 |
| No log | 4.4828 | 130 | 0.8221 | 0.2163 | 0.8221 | 0.9067 |
| No log | 4.5517 | 132 | 0.8159 | 0.2458 | 0.8159 | 0.9033 |
| No log | 4.6207 | 134 | 0.7998 | 0.2458 | 0.7998 | 0.8943 |
| No log | 4.6897 | 136 | 0.7482 | 0.2802 | 0.7482 | 0.8650 |
| No log | 4.7586 | 138 | 0.7217 | 0.4459 | 0.7217 | 0.8495 |
| No log | 4.8276 | 140 | 0.7483 | 0.3155 | 0.7483 | 0.8650 |
| No log | 4.8966 | 142 | 0.7419 | 0.2447 | 0.7419 | 0.8613 |
| No log | 4.9655 | 144 | 0.8373 | 0.1941 | 0.8373 | 0.9150 |
| No log | 5.0345 | 146 | 0.9230 | 0.2758 | 0.9230 | 0.9607 |
| No log | 5.1034 | 148 | 0.8071 | 0.2130 | 0.8071 | 0.8984 |
| No log | 5.1724 | 150 | 0.7390 | 0.2302 | 0.7390 | 0.8597 |
| No log | 5.2414 | 152 | 0.8772 | 0.4295 | 0.8772 | 0.9366 |
| No log | 5.3103 | 154 | 0.9428 | 0.3827 | 0.9428 | 0.9710 |
| No log | 5.3793 | 156 | 0.8349 | 0.4144 | 0.8349 | 0.9137 |
| No log | 5.4483 | 158 | 0.7343 | 0.3665 | 0.7343 | 0.8569 |
| No log | 5.5172 | 160 | 0.7193 | 0.2965 | 0.7193 | 0.8481 |
| No log | 5.5862 | 162 | 0.7562 | 0.1432 | 0.7562 | 0.8696 |
| No log | 5.6552 | 164 | 0.7578 | 0.1967 | 0.7578 | 0.8705 |
| No log | 5.7241 | 166 | 0.7475 | 0.3504 | 0.7475 | 0.8646 |
| No log | 5.7931 | 168 | 0.8184 | 0.3314 | 0.8184 | 0.9047 |
| No log | 5.8621 | 170 | 0.9001 | 0.3844 | 0.9001 | 0.9487 |
| No log | 5.9310 | 172 | 0.9111 | 0.3505 | 0.9111 | 0.9545 |
| No log | 6.0 | 174 | 0.9161 | 0.3567 | 0.9161 | 0.9571 |
| No log | 6.0690 | 176 | 0.8737 | 0.3221 | 0.8737 | 0.9347 |
| No log | 6.1379 | 178 | 0.8788 | 0.3221 | 0.8788 | 0.9375 |
| No log | 6.2069 | 180 | 0.8810 | 0.3235 | 0.8810 | 0.9386 |
| No log | 6.2759 | 182 | 0.8647 | 0.3076 | 0.8647 | 0.9299 |
| No log | 6.3448 | 184 | 0.7950 | 0.2634 | 0.7950 | 0.8916 |
| No log | 6.4138 | 186 | 0.8203 | 0.1775 | 0.8203 | 0.9057 |
| No log | 6.4828 | 188 | 0.8236 | 0.2434 | 0.8236 | 0.9075 |
| No log | 6.5517 | 190 | 0.7953 | 0.2053 | 0.7953 | 0.8918 |
| No log | 6.6207 | 192 | 0.7920 | 0.1754 | 0.7920 | 0.8900 |
| No log | 6.6897 | 194 | 0.8102 | 0.2098 | 0.8102 | 0.9001 |
| No log | 6.7586 | 196 | 0.7856 | 0.2373 | 0.7856 | 0.8863 |
| No log | 6.8276 | 198 | 0.7636 | 0.3022 | 0.7636 | 0.8738 |
| No log | 6.8966 | 200 | 0.7652 | 0.2834 | 0.7652 | 0.8747 |
| No log | 6.9655 | 202 | 0.7427 | 0.2689 | 0.7427 | 0.8618 |
| No log | 7.0345 | 204 | 0.7007 | 0.3603 | 0.7007 | 0.8371 |
| No log | 7.1034 | 206 | 0.6916 | 0.2958 | 0.6916 | 0.8317 |
| No log | 7.1724 | 208 | 0.7207 | 0.2130 | 0.7207 | 0.8489 |
| No log | 7.2414 | 210 | 0.7473 | 0.2439 | 0.7473 | 0.8645 |
| No log | 7.3103 | 212 | 0.6506 | 0.3390 | 0.6506 | 0.8066 |
| No log | 7.3793 | 214 | 0.6428 | 0.4816 | 0.6428 | 0.8017 |
| No log | 7.4483 | 216 | 0.6736 | 0.5056 | 0.6736 | 0.8207 |
| No log | 7.5172 | 218 | 0.6605 | 0.4194 | 0.6605 | 0.8127 |
| No log | 7.5862 | 220 | 0.6667 | 0.2958 | 0.6667 | 0.8165 |
| No log | 7.6552 | 222 | 0.6794 | 0.2456 | 0.6794 | 0.8243 |
| No log | 7.7241 | 224 | 0.6793 | 0.2746 | 0.6793 | 0.8242 |
| No log | 7.7931 | 226 | 0.6794 | 0.2746 | 0.6794 | 0.8243 |
| No log | 7.8621 | 228 | 0.6661 | 0.3031 | 0.6661 | 0.8162 |
| No log | 7.9310 | 230 | 0.6604 | 0.2777 | 0.6604 | 0.8126 |
| No log | 8.0 | 232 | 0.6735 | 0.3417 | 0.6735 | 0.8207 |
| No log | 8.0690 | 234 | 0.7154 | 0.3656 | 0.7154 | 0.8458 |
| No log | 8.1379 | 236 | 0.7458 | 0.3212 | 0.7458 | 0.8636 |
| No log | 8.2069 | 238 | 0.7452 | 0.2874 | 0.7452 | 0.8632 |
| No log | 8.2759 | 240 | 0.7508 | 0.2634 | 0.7508 | 0.8665 |
| No log | 8.3448 | 242 | 0.8164 | 0.3101 | 0.8164 | 0.9036 |
| No log | 8.4138 | 244 | 0.9974 | 0.3438 | 0.9974 | 0.9987 |
| No log | 8.4828 | 246 | 1.1314 | 0.3576 | 1.1314 | 1.0637 |
| No log | 8.5517 | 248 | 0.9945 | 0.3654 | 0.9945 | 0.9972 |
| No log | 8.6207 | 250 | 0.8124 | 0.3796 | 0.8124 | 0.9013 |
| No log | 8.6897 | 252 | 0.8751 | 0.4281 | 0.8751 | 0.9354 |
| No log | 8.7586 | 254 | 0.8566 | 0.4327 | 0.8566 | 0.9255 |
| No log | 8.8276 | 256 | 0.7765 | 0.4071 | 0.7765 | 0.8812 |
| No log | 8.8966 | 258 | 0.8233 | 0.3944 | 0.8233 | 0.9074 |
| No log | 8.9655 | 260 | 1.0627 | 0.3716 | 1.0627 | 1.0309 |
| No log | 9.0345 | 262 | 1.1353 | 0.2910 | 1.1353 | 1.0655 |
| No log | 9.1034 | 264 | 1.0214 | 0.3716 | 1.0214 | 1.0107 |
| No log | 9.1724 | 266 | 0.7817 | 0.3781 | 0.7817 | 0.8841 |
| No log | 9.2414 | 268 | 0.6360 | 0.4300 | 0.6360 | 0.7975 |
| No log | 9.3103 | 270 | 0.6144 | 0.4217 | 0.6144 | 0.7838 |
| No log | 9.3793 | 272 | 0.6210 | 0.3964 | 0.6210 | 0.7880 |
| No log | 9.4483 | 274 | 0.6112 | 0.4217 | 0.6112 | 0.7818 |
| No log | 9.5172 | 276 | 0.5902 | 0.4380 | 0.5902 | 0.7683 |
| No log | 9.5862 | 278 | 0.5979 | 0.4114 | 0.5979 | 0.7733 |
| No log | 9.6552 | 280 | 0.6421 | 0.4114 | 0.6421 | 0.8013 |
| No log | 9.7241 | 282 | 0.6746 | 0.3293 | 0.6746 | 0.8213 |
| No log | 9.7931 | 284 | 0.7042 | 0.2366 | 0.7042 | 0.8391 |
| No log | 9.8621 | 286 | 0.7277 | 0.1935 | 0.7277 | 0.8530 |
| No log | 9.9310 | 288 | 0.8669 | 0.4144 | 0.8669 | 0.9311 |
| No log | 10.0 | 290 | 1.0067 | 0.3161 | 1.0067 | 1.0033 |
| No log | 10.0690 | 292 | 1.0081 | 0.2850 | 1.0081 | 1.0041 |
| No log | 10.1379 | 294 | 0.8463 | 0.4243 | 0.8463 | 0.9199 |
| No log | 10.2069 | 296 | 0.7379 | 0.4212 | 0.7379 | 0.8590 |
| No log | 10.2759 | 298 | 0.6784 | 0.3887 | 0.6784 | 0.8236 |
| No log | 10.3448 | 300 | 0.6716 | 0.3467 | 0.6716 | 0.8195 |
| No log | 10.4138 | 302 | 0.6749 | 0.4287 | 0.6749 | 0.8216 |
| No log | 10.4828 | 304 | 0.6521 | 0.4575 | 0.6521 | 0.8075 |
| No log | 10.5517 | 306 | 0.6416 | 0.4059 | 0.6416 | 0.8010 |
| No log | 10.6207 | 308 | 0.6493 | 0.4984 | 0.6493 | 0.8058 |
| No log | 10.6897 | 310 | 0.6483 | 0.4984 | 0.6483 | 0.8052 |
| No log | 10.7586 | 312 | 0.6353 | 0.4059 | 0.6353 | 0.7971 |
| No log | 10.8276 | 314 | 0.6720 | 0.3051 | 0.6720 | 0.8197 |
| No log | 10.8966 | 316 | 0.6793 | 0.3051 | 0.6793 | 0.8242 |
| No log | 10.9655 | 318 | 0.6643 | 0.4059 | 0.6643 | 0.8150 |
| No log | 11.0345 | 320 | 0.7894 | 0.4423 | 0.7894 | 0.8885 |
| No log | 11.1034 | 322 | 0.9371 | 0.3579 | 0.9371 | 0.9681 |
| No log | 11.1724 | 324 | 0.9551 | 0.3579 | 0.9551 | 0.9773 |
| No log | 11.2414 | 326 | 0.8518 | 0.3955 | 0.8518 | 0.9230 |
| No log | 11.3103 | 328 | 0.7563 | 0.2652 | 0.7563 | 0.8696 |
| No log | 11.3793 | 330 | 0.7457 | 0.2038 | 0.7457 | 0.8636 |
| No log | 11.4483 | 332 | 0.7350 | 0.2366 | 0.7350 | 0.8573 |
| No log | 11.5172 | 334 | 0.7301 | 0.3171 | 0.7301 | 0.8545 |
| No log | 11.5862 | 336 | 0.7562 | 0.3613 | 0.7562 | 0.8696 |
| No log | 11.6552 | 338 | 0.8069 | 0.3711 | 0.8069 | 0.8983 |
| No log | 11.7241 | 340 | 0.8201 | 0.3822 | 0.8201 | 0.9056 |
| No log | 11.7931 | 342 | 0.7492 | 0.3279 | 0.7492 | 0.8655 |
| No log | 11.8621 | 344 | 0.7172 | 0.4051 | 0.7172 | 0.8469 |
| No log | 11.9310 | 346 | 0.7282 | 0.3450 | 0.7282 | 0.8534 |
| No log | 12.0 | 348 | 0.7182 | 0.3738 | 0.7182 | 0.8475 |
| No log | 12.0690 | 350 | 0.7303 | 0.3530 | 0.7303 | 0.8546 |
| No log | 12.1379 | 352 | 0.8282 | 0.3569 | 0.8282 | 0.9100 |
| No log | 12.2069 | 354 | 0.9177 | 0.4212 | 0.9177 | 0.9580 |
| No log | 12.2759 | 356 | 0.8556 | 0.4081 | 0.8556 | 0.9250 |
| No log | 12.3448 | 358 | 0.7562 | 0.3931 | 0.7562 | 0.8696 |
| No log | 12.4138 | 360 | 0.6793 | 0.3667 | 0.6793 | 0.8242 |
| No log | 12.4828 | 362 | 0.6601 | 0.3622 | 0.6601 | 0.8125 |
| No log | 12.5517 | 364 | 0.6477 | 0.3622 | 0.6477 | 0.8048 |
| No log | 12.6207 | 366 | 0.6425 | 0.4222 | 0.6425 | 0.8015 |
| No log | 12.6897 | 368 | 0.6640 | 0.4455 | 0.6640 | 0.8148 |
| No log | 12.7586 | 370 | 0.6881 | 0.4227 | 0.6881 | 0.8295 |
| No log | 12.8276 | 372 | 0.6842 | 0.4001 | 0.6842 | 0.8272 |
| No log | 12.8966 | 374 | 0.6510 | 0.4248 | 0.6510 | 0.8068 |
| No log | 12.9655 | 376 | 0.6464 | 0.4432 | 0.6464 | 0.8040 |
| No log | 13.0345 | 378 | 0.6646 | 0.4248 | 0.6646 | 0.8152 |
| No log | 13.1034 | 380 | 0.6357 | 0.5021 | 0.6357 | 0.7973 |
| No log | 13.1724 | 382 | 0.6275 | 0.4287 | 0.6275 | 0.7922 |
| No log | 13.2414 | 384 | 0.6193 | 0.4287 | 0.6193 | 0.7869 |
| No log | 13.3103 | 386 | 0.5964 | 0.4287 | 0.5964 | 0.7723 |
| No log | 13.3793 | 388 | 0.5846 | 0.4575 | 0.5846 | 0.7646 |
| No log | 13.4483 | 390 | 0.5981 | 0.4051 | 0.5981 | 0.7733 |
| No log | 13.5172 | 392 | 0.5926 | 0.4051 | 0.5926 | 0.7698 |
| No log | 13.5862 | 394 | 0.5827 | 0.4402 | 0.5827 | 0.7634 |
| No log | 13.6552 | 396 | 0.6144 | 0.4249 | 0.6144 | 0.7838 |
| No log | 13.7241 | 398 | 0.6842 | 0.3637 | 0.6842 | 0.8272 |
| No log | 13.7931 | 400 | 0.6575 | 0.4237 | 0.6575 | 0.8108 |
| No log | 13.8621 | 402 | 0.5999 | 0.4019 | 0.5999 | 0.7745 |
| No log | 13.9310 | 404 | 0.6370 | 0.4336 | 0.6370 | 0.7981 |
| No log | 14.0 | 406 | 0.6650 | 0.4336 | 0.6650 | 0.8155 |
| No log | 14.0690 | 408 | 0.6314 | 0.4419 | 0.6314 | 0.7946 |
| No log | 14.1379 | 410 | 0.6298 | 0.3363 | 0.6298 | 0.7936 |
| No log | 14.2069 | 412 | 0.6468 | 0.3729 | 0.6468 | 0.8042 |
| No log | 14.2759 | 414 | 0.6498 | 0.3835 | 0.6498 | 0.8061 |
| No log | 14.3448 | 416 | 0.6635 | 0.4300 | 0.6635 | 0.8146 |
| No log | 14.4138 | 418 | 0.7201 | 0.4302 | 0.7201 | 0.8486 |
| No log | 14.4828 | 420 | 0.7174 | 0.3971 | 0.7174 | 0.8470 |
| No log | 14.5517 | 422 | 0.6662 | 0.4106 | 0.6662 | 0.8162 |
| No log | 14.6207 | 424 | 0.6354 | 0.4322 | 0.6354 | 0.7971 |
| No log | 14.6897 | 426 | 0.6583 | 0.4656 | 0.6583 | 0.8114 |
| No log | 14.7586 | 428 | 0.6677 | 0.4099 | 0.6677 | 0.8171 |
| No log | 14.8276 | 430 | 0.6465 | 0.4638 | 0.6465 | 0.8041 |
| No log | 14.8966 | 432 | 0.6327 | 0.4535 | 0.6327 | 0.7954 |
| No log | 14.9655 | 434 | 0.6333 | 0.4448 | 0.6333 | 0.7958 |
| No log | 15.0345 | 436 | 0.6170 | 0.4838 | 0.6170 | 0.7855 |
| No log | 15.1034 | 438 | 0.6036 | 0.4910 | 0.6036 | 0.7769 |
| No log | 15.1724 | 440 | 0.6068 | 0.4697 | 0.6068 | 0.7790 |
| No log | 15.2414 | 442 | 0.6048 | 0.4820 | 0.6048 | 0.7777 |
| No log | 15.3103 | 444 | 0.6106 | 0.4820 | 0.6106 | 0.7814 |
| No log | 15.3793 | 446 | 0.6339 | 0.4726 | 0.6339 | 0.7962 |
| No log | 15.4483 | 448 | 0.6745 | 0.4207 | 0.6745 | 0.8213 |
| No log | 15.5172 | 450 | 0.6718 | 0.4314 | 0.6718 | 0.8196 |
| No log | 15.5862 | 452 | 0.7047 | 0.4186 | 0.7047 | 0.8395 |
| No log | 15.6552 | 454 | 0.7315 | 0.4423 | 0.7315 | 0.8553 |
| No log | 15.7241 | 456 | 0.7639 | 0.4353 | 0.7639 | 0.8740 |
| No log | 15.7931 | 458 | 0.7109 | 0.4353 | 0.7109 | 0.8431 |
| No log | 15.8621 | 460 | 0.6327 | 0.4114 | 0.6327 | 0.7954 |
| No log | 15.9310 | 462 | 0.6352 | 0.4105 | 0.6352 | 0.7970 |
| No log | 16.0 | 464 | 0.7837 | 0.3538 | 0.7837 | 0.8853 |
| No log | 16.0690 | 466 | 0.9726 | 0.3373 | 0.9726 | 0.9862 |
| No log | 16.1379 | 468 | 0.9417 | 0.3565 | 0.9417 | 0.9704 |
| No log | 16.2069 | 470 | 0.7510 | 0.3655 | 0.7510 | 0.8666 |
| No log | 16.2759 | 472 | 0.6208 | 0.3628 | 0.6208 | 0.7879 |
| No log | 16.3448 | 474 | 0.6557 | 0.4801 | 0.6557 | 0.8097 |
| No log | 16.4138 | 476 | 0.7318 | 0.4665 | 0.7318 | 0.8555 |
| No log | 16.4828 | 478 | 0.7053 | 0.4409 | 0.7053 | 0.8398 |
| No log | 16.5517 | 480 | 0.6644 | 0.4100 | 0.6644 | 0.8151 |
| No log | 16.6207 | 482 | 0.6234 | 0.3445 | 0.6234 | 0.7895 |
| No log | 16.6897 | 484 | 0.6146 | 0.3445 | 0.6146 | 0.7839 |
| No log | 16.7586 | 486 | 0.6343 | 0.4925 | 0.6343 | 0.7965 |
| No log | 16.8276 | 488 | 0.6176 | 0.4726 | 0.6176 | 0.7859 |
| No log | 16.8966 | 490 | 0.6178 | 0.5214 | 0.6178 | 0.7860 |
| No log | 16.9655 | 492 | 0.6380 | 0.5345 | 0.6380 | 0.7987 |
| No log | 17.0345 | 494 | 0.6242 | 0.5214 | 0.6242 | 0.7900 |
| No log | 17.1034 | 496 | 0.6058 | 0.5379 | 0.6058 | 0.7783 |
| No log | 17.1724 | 498 | 0.6080 | 0.5379 | 0.6080 | 0.7797 |
| 0.3183 | 17.2414 | 500 | 0.6107 | 0.5379 | 0.6107 | 0.7815 |
| 0.3183 | 17.3103 | 502 | 0.6054 | 0.5159 | 0.6054 | 0.7781 |
| 0.3183 | 17.3793 | 504 | 0.5963 | 0.4463 | 0.5963 | 0.7722 |
| 0.3183 | 17.4483 | 506 | 0.6016 | 0.4463 | 0.6016 | 0.7756 |
| 0.3183 | 17.5172 | 508 | 0.6126 | 0.4934 | 0.6126 | 0.7827 |
| 0.3183 | 17.5862 | 510 | 0.6275 | 0.4934 | 0.6275 | 0.7921 |
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_k8_task7_organization
Base model
aubmindlab/bert-base-arabertv02