ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k18_task3_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: 0.7915
- Qwk: 0.0318
- Mse: 0.7915
- Rmse: 0.8897
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 | 0.0215 | 2 | 3.4211 | -0.0047 | 3.4211 | 1.8496 |
No log | 0.0430 | 4 | 1.8284 | 0.0172 | 1.8284 | 1.3522 |
No log | 0.0645 | 6 | 1.0244 | -0.0101 | 1.0244 | 1.0121 |
No log | 0.0860 | 8 | 0.7656 | 0.0260 | 0.7656 | 0.8750 |
No log | 0.1075 | 10 | 0.7627 | -0.0264 | 0.7627 | 0.8734 |
No log | 0.1290 | 12 | 0.7332 | -0.0690 | 0.7332 | 0.8563 |
No log | 0.1505 | 14 | 0.7279 | 0.0541 | 0.7279 | 0.8531 |
No log | 0.1720 | 16 | 0.7215 | 0.0723 | 0.7215 | 0.8494 |
No log | 0.1935 | 18 | 1.0622 | 0.1211 | 1.0622 | 1.0306 |
No log | 0.2151 | 20 | 0.8976 | 0.1152 | 0.8976 | 0.9474 |
No log | 0.2366 | 22 | 0.7644 | -0.0711 | 0.7644 | 0.8743 |
No log | 0.2581 | 24 | 0.7143 | -0.0069 | 0.7143 | 0.8452 |
No log | 0.2796 | 26 | 0.7774 | 0.0304 | 0.7774 | 0.8817 |
No log | 0.3011 | 28 | 1.1562 | 0.1087 | 1.1562 | 1.0752 |
No log | 0.3226 | 30 | 0.7096 | 0.2105 | 0.7096 | 0.8424 |
No log | 0.3441 | 32 | 0.7412 | 0.0555 | 0.7412 | 0.8609 |
No log | 0.3656 | 34 | 0.7387 | 0.0555 | 0.7387 | 0.8595 |
No log | 0.3871 | 36 | 0.8077 | 0.0490 | 0.8077 | 0.8987 |
No log | 0.4086 | 38 | 1.0793 | 0.1150 | 1.0793 | 1.0389 |
No log | 0.4301 | 40 | 1.0100 | 0.1228 | 1.0100 | 1.0050 |
No log | 0.4516 | 42 | 0.7402 | 0.1440 | 0.7402 | 0.8604 |
No log | 0.4731 | 44 | 0.7015 | 0.0759 | 0.7015 | 0.8376 |
No log | 0.4946 | 46 | 0.8385 | 0.1445 | 0.8385 | 0.9157 |
No log | 0.5161 | 48 | 1.0091 | 0.1044 | 1.0091 | 1.0046 |
No log | 0.5376 | 50 | 0.8600 | 0.2717 | 0.8600 | 0.9274 |
No log | 0.5591 | 52 | 1.0138 | 0.0219 | 1.0138 | 1.0069 |
No log | 0.5806 | 54 | 1.0805 | -0.0060 | 1.0805 | 1.0395 |
No log | 0.6022 | 56 | 0.8991 | 0.0271 | 0.8991 | 0.9482 |
No log | 0.6237 | 58 | 0.8549 | 0.2476 | 0.8549 | 0.9246 |
No log | 0.6452 | 60 | 0.8321 | 0.0842 | 0.8321 | 0.9122 |
No log | 0.6667 | 62 | 0.7418 | -0.0029 | 0.7418 | 0.8613 |
No log | 0.6882 | 64 | 0.7376 | 0.1644 | 0.7376 | 0.8589 |
No log | 0.7097 | 66 | 0.7821 | 0.0509 | 0.7821 | 0.8844 |
No log | 0.7312 | 68 | 0.8084 | 0.1136 | 0.8084 | 0.8991 |
No log | 0.7527 | 70 | 0.8688 | 0.1290 | 0.8688 | 0.9321 |
No log | 0.7742 | 72 | 0.9591 | 0.1650 | 0.9591 | 0.9793 |
No log | 0.7957 | 74 | 0.9440 | 0.1198 | 0.9440 | 0.9716 |
No log | 0.8172 | 76 | 0.9921 | 0.1260 | 0.9921 | 0.9960 |
No log | 0.8387 | 78 | 1.1471 | 0.0169 | 1.1471 | 1.0710 |
No log | 0.8602 | 80 | 1.0966 | 0.0950 | 1.0966 | 1.0472 |
No log | 0.8817 | 82 | 0.9739 | 0.1725 | 0.9739 | 0.9869 |
No log | 0.9032 | 84 | 1.0414 | 0.0458 | 1.0414 | 1.0205 |
No log | 0.9247 | 86 | 0.8695 | 0.0181 | 0.8695 | 0.9325 |
No log | 0.9462 | 88 | 0.8569 | 0.2057 | 0.8569 | 0.9257 |
No log | 0.9677 | 90 | 1.1070 | 0.0188 | 1.1070 | 1.0521 |
No log | 0.9892 | 92 | 0.9487 | 0.1893 | 0.9487 | 0.9740 |
No log | 1.0108 | 94 | 1.2214 | 0.1293 | 1.2214 | 1.1052 |
No log | 1.0323 | 96 | 1.6749 | 0.0839 | 1.6749 | 1.2942 |
No log | 1.0538 | 98 | 1.0853 | 0.1013 | 1.0853 | 1.0418 |
No log | 1.0753 | 100 | 0.9627 | 0.0355 | 0.9627 | 0.9812 |
No log | 1.0968 | 102 | 1.2114 | 0.0842 | 1.2114 | 1.1006 |
No log | 1.1183 | 104 | 1.0214 | 0.0154 | 1.0214 | 1.0107 |
No log | 1.1398 | 106 | 0.7929 | 0.0146 | 0.7929 | 0.8905 |
No log | 1.1613 | 108 | 0.9766 | -0.0832 | 0.9766 | 0.9882 |
No log | 1.1828 | 110 | 0.8145 | 0.0611 | 0.8145 | 0.9025 |
No log | 1.2043 | 112 | 0.9749 | 0.1374 | 0.9749 | 0.9874 |
No log | 1.2258 | 114 | 1.1689 | -0.0386 | 1.1689 | 1.0811 |
No log | 1.2473 | 116 | 0.9405 | 0.0883 | 0.9405 | 0.9698 |
No log | 1.2688 | 118 | 1.2033 | 0.0344 | 1.2033 | 1.0969 |
No log | 1.2903 | 120 | 1.2775 | 0.0291 | 1.2775 | 1.1303 |
No log | 1.3118 | 122 | 0.9243 | 0.0161 | 0.9243 | 0.9614 |
No log | 1.3333 | 124 | 1.1567 | 0.0078 | 1.1567 | 1.0755 |
No log | 1.3548 | 126 | 1.1950 | -0.0180 | 1.1950 | 1.0932 |
No log | 1.3763 | 128 | 1.0363 | 0.0872 | 1.0363 | 1.0180 |
No log | 1.3978 | 130 | 1.2453 | 0.0379 | 1.2453 | 1.1159 |
No log | 1.4194 | 132 | 1.0230 | 0.0075 | 1.0230 | 1.0114 |
No log | 1.4409 | 134 | 1.1459 | 0.0955 | 1.1459 | 1.0705 |
No log | 1.4624 | 136 | 1.5734 | 0.1103 | 1.5734 | 1.2544 |
No log | 1.4839 | 138 | 1.3805 | 0.0529 | 1.3805 | 1.1749 |
No log | 1.5054 | 140 | 1.0738 | 0.0490 | 1.0738 | 1.0363 |
No log | 1.5269 | 142 | 1.2002 | 0.0957 | 1.2002 | 1.0955 |
No log | 1.5484 | 144 | 0.9783 | 0.0760 | 0.9783 | 0.9891 |
No log | 1.5699 | 146 | 0.9415 | 0.0966 | 0.9415 | 0.9703 |
No log | 1.5914 | 148 | 0.9626 | 0.0729 | 0.9626 | 0.9811 |
No log | 1.6129 | 150 | 0.7809 | 0.0944 | 0.7809 | 0.8837 |
No log | 1.6344 | 152 | 0.7432 | 0.0759 | 0.7432 | 0.8621 |
No log | 1.6559 | 154 | 0.7205 | 0.0857 | 0.7205 | 0.8488 |
No log | 1.6774 | 156 | 0.7271 | 0.0869 | 0.7271 | 0.8527 |
No log | 1.6989 | 158 | 0.7746 | 0.2593 | 0.7746 | 0.8801 |
No log | 1.7204 | 160 | 1.0203 | 0.0487 | 1.0203 | 1.0101 |
No log | 1.7419 | 162 | 0.9246 | 0.1284 | 0.9246 | 0.9616 |
No log | 1.7634 | 164 | 0.7822 | 0.1249 | 0.7822 | 0.8844 |
No log | 1.7849 | 166 | 0.8655 | -0.0008 | 0.8655 | 0.9303 |
No log | 1.8065 | 168 | 0.8571 | -0.0008 | 0.8571 | 0.9258 |
No log | 1.8280 | 170 | 0.7163 | 0.0874 | 0.7163 | 0.8463 |
No log | 1.8495 | 172 | 0.7472 | 0.2275 | 0.7472 | 0.8644 |
No log | 1.8710 | 174 | 0.7258 | 0.0879 | 0.7258 | 0.8519 |
No log | 1.8925 | 176 | 0.7692 | 0.0622 | 0.7692 | 0.8771 |
No log | 1.9140 | 178 | 0.7270 | 0.1304 | 0.7270 | 0.8527 |
No log | 1.9355 | 180 | 0.7294 | 0.1304 | 0.7294 | 0.8540 |
No log | 1.9570 | 182 | 0.7944 | 0.0757 | 0.7944 | 0.8913 |
No log | 1.9785 | 184 | 0.8498 | 0.2486 | 0.8498 | 0.9218 |
No log | 2.0 | 186 | 0.9443 | 0.0975 | 0.9443 | 0.9718 |
No log | 2.0215 | 188 | 1.1138 | 0.0496 | 1.1138 | 1.0553 |
No log | 2.0430 | 190 | 0.9288 | 0.1006 | 0.9288 | 0.9637 |
No log | 2.0645 | 192 | 0.8643 | 0.0175 | 0.8643 | 0.9297 |
No log | 2.0860 | 194 | 0.9473 | -0.0128 | 0.9473 | 0.9733 |
No log | 2.1075 | 196 | 0.7702 | 0.0723 | 0.7702 | 0.8776 |
No log | 2.1290 | 198 | 0.7441 | 0.1906 | 0.7441 | 0.8626 |
No log | 2.1505 | 200 | 0.7427 | 0.1333 | 0.7427 | 0.8618 |
No log | 2.1720 | 202 | 0.7457 | 0.2046 | 0.7457 | 0.8635 |
No log | 2.1935 | 204 | 0.8842 | 0.0333 | 0.8842 | 0.9403 |
No log | 2.2151 | 206 | 0.8459 | 0.0015 | 0.8459 | 0.9198 |
No log | 2.2366 | 208 | 0.8242 | 0.2933 | 0.8242 | 0.9078 |
No log | 2.2581 | 210 | 0.8384 | 0.2673 | 0.8384 | 0.9156 |
No log | 2.2796 | 212 | 0.8054 | 0.2218 | 0.8054 | 0.8974 |
No log | 2.3011 | 214 | 0.8091 | 0.1863 | 0.8091 | 0.8995 |
No log | 2.3226 | 216 | 0.7966 | 0.1687 | 0.7966 | 0.8925 |
No log | 2.3441 | 218 | 0.7719 | 0.1292 | 0.7719 | 0.8786 |
No log | 2.3656 | 220 | 0.7775 | 0.0828 | 0.7775 | 0.8818 |
No log | 2.3871 | 222 | 0.8093 | 0.1333 | 0.8093 | 0.8996 |
No log | 2.4086 | 224 | 0.8565 | 0.0514 | 0.8565 | 0.9255 |
No log | 2.4301 | 226 | 0.9628 | 0.0138 | 0.9628 | 0.9812 |
No log | 2.4516 | 228 | 0.9386 | 0.0121 | 0.9386 | 0.9688 |
No log | 2.4731 | 230 | 0.8630 | -0.0307 | 0.8630 | 0.9290 |
No log | 2.4946 | 232 | 0.8294 | 0.0874 | 0.8294 | 0.9107 |
No log | 2.5161 | 234 | 0.8826 | 0.1742 | 0.8826 | 0.9395 |
No log | 2.5376 | 236 | 0.8478 | 0.1859 | 0.8478 | 0.9208 |
No log | 2.5591 | 238 | 0.7682 | 0.0432 | 0.7682 | 0.8764 |
No log | 2.5806 | 240 | 0.7778 | 0.1443 | 0.7778 | 0.8820 |
No log | 2.6022 | 242 | 0.7619 | 0.1298 | 0.7619 | 0.8729 |
No log | 2.6237 | 244 | 0.7595 | 0.1298 | 0.7595 | 0.8715 |
No log | 2.6452 | 246 | 0.7595 | 0.0983 | 0.7595 | 0.8715 |
No log | 2.6667 | 248 | 0.7586 | 0.1379 | 0.7586 | 0.8710 |
No log | 2.6882 | 250 | 0.7874 | 0.2827 | 0.7874 | 0.8873 |
No log | 2.7097 | 252 | 0.8238 | 0.1268 | 0.8238 | 0.9076 |
No log | 2.7312 | 254 | 0.8358 | 0.2109 | 0.8358 | 0.9142 |
No log | 2.7527 | 256 | 0.9833 | -0.0237 | 0.9833 | 0.9916 |
No log | 2.7742 | 258 | 0.9318 | 0.0025 | 0.9318 | 0.9653 |
No log | 2.7957 | 260 | 0.8226 | 0.2476 | 0.8226 | 0.9070 |
No log | 2.8172 | 262 | 1.0904 | -0.0204 | 1.0904 | 1.0442 |
No log | 2.8387 | 264 | 1.0551 | -0.0187 | 1.0551 | 1.0272 |
No log | 2.8602 | 266 | 0.7896 | 0.1298 | 0.7896 | 0.8886 |
No log | 2.8817 | 268 | 0.9040 | -0.0237 | 0.9040 | 0.9508 |
No log | 2.9032 | 270 | 0.9224 | 0.0169 | 0.9224 | 0.9604 |
No log | 2.9247 | 272 | 0.8134 | 0.0 | 0.8134 | 0.9019 |
No log | 2.9462 | 274 | 0.8316 | 0.1841 | 0.8316 | 0.9119 |
No log | 2.9677 | 276 | 0.8516 | 0.1372 | 0.8516 | 0.9228 |
No log | 2.9892 | 278 | 0.7962 | 0.0821 | 0.7962 | 0.8923 |
No log | 3.0108 | 280 | 0.7805 | 0.0432 | 0.7805 | 0.8835 |
No log | 3.0323 | 282 | 0.7579 | 0.1249 | 0.7579 | 0.8706 |
No log | 3.0538 | 284 | 0.7532 | 0.0375 | 0.7532 | 0.8678 |
No log | 3.0753 | 286 | 0.7758 | 0.0874 | 0.7758 | 0.8808 |
No log | 3.0968 | 288 | 0.8142 | 0.1846 | 0.8142 | 0.9023 |
No log | 3.1183 | 290 | 0.8245 | 0.2709 | 0.8245 | 0.9080 |
No log | 3.1398 | 292 | 0.7875 | 0.1189 | 0.7875 | 0.8874 |
No log | 3.1613 | 294 | 0.7794 | 0.0432 | 0.7794 | 0.8828 |
No log | 3.1828 | 296 | 0.7665 | 0.1705 | 0.7665 | 0.8755 |
No log | 3.2043 | 298 | 0.8118 | 0.2361 | 0.8118 | 0.9010 |
No log | 3.2258 | 300 | 0.8627 | 0.1615 | 0.8627 | 0.9288 |
No log | 3.2473 | 302 | 0.8104 | 0.1649 | 0.8104 | 0.9002 |
No log | 3.2688 | 304 | 0.7318 | 0.2588 | 0.7318 | 0.8555 |
No log | 3.2903 | 306 | 0.7363 | 0.1495 | 0.7363 | 0.8581 |
No log | 3.3118 | 308 | 0.7202 | 0.1249 | 0.7202 | 0.8486 |
No log | 3.3333 | 310 | 0.7422 | 0.0481 | 0.7422 | 0.8615 |
No log | 3.3548 | 312 | 0.7705 | 0.1770 | 0.7705 | 0.8778 |
No log | 3.3763 | 314 | 0.7620 | 0.1277 | 0.7620 | 0.8729 |
No log | 3.3978 | 316 | 0.7734 | 0.1767 | 0.7734 | 0.8794 |
No log | 3.4194 | 318 | 0.7740 | 0.0551 | 0.7740 | 0.8798 |
No log | 3.4409 | 320 | 0.7640 | 0.2486 | 0.7640 | 0.8741 |
No log | 3.4624 | 322 | 0.8791 | 0.1043 | 0.8791 | 0.9376 |
No log | 3.4839 | 324 | 0.8320 | 0.2381 | 0.8320 | 0.9121 |
No log | 3.5054 | 326 | 0.7964 | 0.2556 | 0.7964 | 0.8924 |
No log | 3.5269 | 328 | 0.8072 | 0.2591 | 0.8072 | 0.8985 |
No log | 3.5484 | 330 | 0.8235 | 0.2103 | 0.8235 | 0.9075 |
No log | 3.5699 | 332 | 0.8811 | 0.2254 | 0.8811 | 0.9387 |
No log | 3.5914 | 334 | 0.8585 | 0.2740 | 0.8585 | 0.9266 |
No log | 3.6129 | 336 | 0.8768 | 0.2580 | 0.8768 | 0.9364 |
No log | 3.6344 | 338 | 0.8769 | 0.1637 | 0.8769 | 0.9364 |
No log | 3.6559 | 340 | 0.8055 | 0.0893 | 0.8055 | 0.8975 |
No log | 3.6774 | 342 | 0.7471 | 0.0375 | 0.7471 | 0.8643 |
No log | 3.6989 | 344 | 0.7258 | -0.0032 | 0.7258 | 0.8519 |
No log | 3.7204 | 346 | 0.7371 | 0.0375 | 0.7371 | 0.8586 |
No log | 3.7419 | 348 | 0.7932 | -0.0108 | 0.7932 | 0.8906 |
No log | 3.7634 | 350 | 0.8750 | 0.2439 | 0.8750 | 0.9354 |
No log | 3.7849 | 352 | 1.0000 | 0.1417 | 1.0000 | 1.0000 |
No log | 3.8065 | 354 | 1.0831 | 0.0730 | 1.0831 | 1.0407 |
No log | 3.8280 | 356 | 0.8635 | 0.2609 | 0.8635 | 0.9292 |
No log | 3.8495 | 358 | 0.8624 | 0.0708 | 0.8624 | 0.9287 |
No log | 3.8710 | 360 | 0.7849 | 0.1049 | 0.7849 | 0.8860 |
No log | 3.8925 | 362 | 0.7785 | 0.2181 | 0.7785 | 0.8823 |
No log | 3.9140 | 364 | 0.8530 | 0.1367 | 0.8530 | 0.9236 |
No log | 3.9355 | 366 | 0.8680 | 0.1367 | 0.8680 | 0.9317 |
No log | 3.9570 | 368 | 0.8544 | 0.1752 | 0.8544 | 0.9244 |
No log | 3.9785 | 370 | 0.8648 | 0.1268 | 0.8648 | 0.9299 |
No log | 4.0 | 372 | 0.8426 | 0.1500 | 0.8426 | 0.9179 |
No log | 4.0215 | 374 | 1.0113 | 0.1014 | 1.0113 | 1.0056 |
No log | 4.0430 | 376 | 1.1773 | 0.0741 | 1.1773 | 1.0850 |
No log | 4.0645 | 378 | 1.0333 | 0.1271 | 1.0333 | 1.0165 |
No log | 4.0860 | 380 | 0.8307 | 0.1440 | 0.8307 | 0.9115 |
No log | 4.1075 | 382 | 0.7712 | 0.1196 | 0.7712 | 0.8782 |
No log | 4.1290 | 384 | 0.7290 | 0.0918 | 0.7290 | 0.8538 |
No log | 4.1505 | 386 | 0.7694 | 0.0528 | 0.7694 | 0.8771 |
No log | 4.1720 | 388 | 0.8572 | 0.0706 | 0.8572 | 0.9259 |
No log | 4.1935 | 390 | 0.8387 | 0.0249 | 0.8387 | 0.9158 |
No log | 4.2151 | 392 | 0.7916 | 0.0940 | 0.7916 | 0.8897 |
No log | 4.2366 | 394 | 0.8973 | 0.0847 | 0.8973 | 0.9473 |
No log | 4.2581 | 396 | 0.9344 | 0.1587 | 0.9344 | 0.9667 |
No log | 4.2796 | 398 | 0.9051 | 0.0770 | 0.9051 | 0.9514 |
No log | 4.3011 | 400 | 0.8864 | 0.0600 | 0.8864 | 0.9415 |
No log | 4.3226 | 402 | 0.8192 | 0.1345 | 0.8192 | 0.9051 |
No log | 4.3441 | 404 | 0.7624 | 0.0937 | 0.7624 | 0.8732 |
No log | 4.3656 | 406 | 0.7279 | 0.0454 | 0.7279 | 0.8532 |
No log | 4.3871 | 408 | 0.7174 | 0.0918 | 0.7174 | 0.8470 |
No log | 4.4086 | 410 | 0.7342 | 0.0732 | 0.7342 | 0.8569 |
No log | 4.4301 | 412 | 0.7589 | 0.1095 | 0.7589 | 0.8711 |
No log | 4.4516 | 414 | 0.7574 | 0.0791 | 0.7574 | 0.8703 |
No log | 4.4731 | 416 | 0.8158 | 0.1739 | 0.8158 | 0.9032 |
No log | 4.4946 | 418 | 0.8058 | 0.1393 | 0.8058 | 0.8977 |
No log | 4.5161 | 420 | 0.7643 | 0.1387 | 0.7643 | 0.8742 |
No log | 4.5376 | 422 | 0.7682 | 0.2024 | 0.7682 | 0.8765 |
No log | 4.5591 | 424 | 0.7898 | 0.1761 | 0.7898 | 0.8887 |
No log | 4.5806 | 426 | 0.7874 | 0.2481 | 0.7874 | 0.8873 |
No log | 4.6022 | 428 | 0.7971 | 0.1095 | 0.7971 | 0.8928 |
No log | 4.6237 | 430 | 0.8286 | 0.1277 | 0.8286 | 0.9103 |
No log | 4.6452 | 432 | 0.8058 | 0.1633 | 0.8058 | 0.8977 |
No log | 4.6667 | 434 | 0.8495 | 0.0995 | 0.8495 | 0.9217 |
No log | 4.6882 | 436 | 0.8010 | 0.0940 | 0.8010 | 0.8950 |
No log | 4.7097 | 438 | 0.8178 | 0.1823 | 0.8178 | 0.9043 |
No log | 4.7312 | 440 | 0.8754 | 0.1142 | 0.8754 | 0.9356 |
No log | 4.7527 | 442 | 0.8320 | 0.1863 | 0.8320 | 0.9121 |
No log | 4.7742 | 444 | 0.9024 | 0.2379 | 0.9024 | 0.9500 |
No log | 4.7957 | 446 | 0.9200 | 0.2182 | 0.9200 | 0.9592 |
No log | 4.8172 | 448 | 0.8586 | 0.2545 | 0.8586 | 0.9266 |
No log | 4.8387 | 450 | 0.8174 | 0.2519 | 0.8174 | 0.9041 |
No log | 4.8602 | 452 | 0.8652 | 0.1349 | 0.8652 | 0.9301 |
No log | 4.8817 | 454 | 0.8513 | 0.0673 | 0.8513 | 0.9227 |
No log | 4.9032 | 456 | 0.7353 | 0.0 | 0.7353 | 0.8575 |
No log | 4.9247 | 458 | 0.7330 | 0.1199 | 0.7330 | 0.8561 |
No log | 4.9462 | 460 | 0.7349 | 0.1199 | 0.7349 | 0.8573 |
No log | 4.9677 | 462 | 0.7313 | -0.0032 | 0.7313 | 0.8552 |
No log | 4.9892 | 464 | 0.7799 | 0.1974 | 0.7799 | 0.8831 |
No log | 5.0108 | 466 | 0.9273 | -0.0159 | 0.9273 | 0.9630 |
No log | 5.0323 | 468 | 0.8927 | 0.0404 | 0.8927 | 0.9448 |
No log | 5.0538 | 470 | 0.7255 | 0.0375 | 0.7255 | 0.8518 |
No log | 5.0753 | 472 | 0.7809 | 0.0909 | 0.7809 | 0.8837 |
No log | 5.0968 | 474 | 0.7935 | 0.1243 | 0.7935 | 0.8908 |
No log | 5.1183 | 476 | 0.7078 | 0.0768 | 0.7078 | 0.8413 |
No log | 5.1398 | 478 | 0.7427 | 0.2747 | 0.7427 | 0.8618 |
No log | 5.1613 | 480 | 0.8381 | 0.1039 | 0.8381 | 0.9155 |
No log | 5.1828 | 482 | 0.8256 | 0.1419 | 0.8256 | 0.9086 |
No log | 5.2043 | 484 | 0.7367 | 0.0454 | 0.7367 | 0.8583 |
No log | 5.2258 | 486 | 0.7227 | 0.1691 | 0.7227 | 0.8501 |
No log | 5.2473 | 488 | 0.8213 | 0.0826 | 0.8213 | 0.9062 |
No log | 5.2688 | 490 | 0.8019 | 0.0826 | 0.8019 | 0.8955 |
No log | 5.2903 | 492 | 0.7219 | 0.0338 | 0.7219 | 0.8496 |
No log | 5.3118 | 494 | 0.8707 | 0.1398 | 0.8707 | 0.9331 |
No log | 5.3333 | 496 | 1.0029 | 0.0458 | 1.0029 | 1.0015 |
No log | 5.3548 | 498 | 0.8913 | 0.1269 | 0.8913 | 0.9441 |
0.3181 | 5.3763 | 500 | 0.8004 | 0.0804 | 0.8004 | 0.8947 |
0.3181 | 5.3978 | 502 | 0.7759 | 0.0700 | 0.7759 | 0.8808 |
0.3181 | 5.4194 | 504 | 0.7670 | 0.0884 | 0.7670 | 0.8758 |
0.3181 | 5.4409 | 506 | 0.7673 | 0.0449 | 0.7673 | 0.8760 |
0.3181 | 5.4624 | 508 | 0.7751 | 0.0879 | 0.7751 | 0.8804 |
0.3181 | 5.4839 | 510 | 0.8330 | 0.1294 | 0.8330 | 0.9127 |
0.3181 | 5.5054 | 512 | 0.8517 | 0.1601 | 0.8517 | 0.9229 |
0.3181 | 5.5269 | 514 | 0.8682 | 0.1591 | 0.8682 | 0.9318 |
0.3181 | 5.5484 | 516 | 0.9040 | 0.0329 | 0.9040 | 0.9508 |
0.3181 | 5.5699 | 518 | 0.8252 | 0.0957 | 0.8252 | 0.9084 |
0.3181 | 5.5914 | 520 | 0.7763 | 0.2096 | 0.7763 | 0.8811 |
0.3181 | 5.6129 | 522 | 0.7951 | 0.1859 | 0.7951 | 0.8917 |
0.3181 | 5.6344 | 524 | 0.7699 | 0.1249 | 0.7699 | 0.8774 |
0.3181 | 5.6559 | 526 | 0.7784 | 0.0432 | 0.7784 | 0.8823 |
0.3181 | 5.6774 | 528 | 0.7889 | 0.0449 | 0.7889 | 0.8882 |
0.3181 | 5.6989 | 530 | 0.7620 | 0.0821 | 0.7620 | 0.8729 |
0.3181 | 5.7204 | 532 | 0.7542 | -0.0091 | 0.7542 | 0.8685 |
0.3181 | 5.7419 | 534 | 0.7733 | 0.0449 | 0.7733 | 0.8794 |
0.3181 | 5.7634 | 536 | 0.7861 | 0.0465 | 0.7861 | 0.8866 |
0.3181 | 5.7849 | 538 | 0.7842 | 0.0449 | 0.7842 | 0.8855 |
0.3181 | 5.8065 | 540 | 0.7708 | 0.1644 | 0.7708 | 0.8780 |
0.3181 | 5.8280 | 542 | 0.7509 | 0.0432 | 0.7509 | 0.8665 |
0.3181 | 5.8495 | 544 | 0.8178 | 0.1443 | 0.8178 | 0.9043 |
0.3181 | 5.8710 | 546 | 0.8279 | 0.1443 | 0.8279 | 0.9099 |
0.3181 | 5.8925 | 548 | 0.7527 | 0.0973 | 0.7527 | 0.8676 |
0.3181 | 5.9140 | 550 | 0.7626 | 0.2105 | 0.7626 | 0.8733 |
0.3181 | 5.9355 | 552 | 0.8911 | 0.1593 | 0.8911 | 0.9440 |
0.3181 | 5.9570 | 554 | 0.8935 | 0.1593 | 0.8935 | 0.9453 |
0.3181 | 5.9785 | 556 | 0.8143 | 0.0791 | 0.8143 | 0.9024 |
0.3181 | 6.0 | 558 | 0.9160 | -0.0055 | 0.9160 | 0.9571 |
0.3181 | 6.0215 | 560 | 0.9142 | -0.0055 | 0.9142 | 0.9561 |
0.3181 | 6.0430 | 562 | 0.8236 | 0.0026 | 0.8236 | 0.9075 |
0.3181 | 6.0645 | 564 | 0.7915 | 0.0318 | 0.7915 | 0.8897 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 9
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
Model tree for MayBashendy/ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k18_task3_organization
Base model
aubmindlab/bert-base-arabertv02