ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k17_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: 0.7581
- Qwk: 0.2784
- Mse: 0.7581
- Rmse: 0.8707
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 | 0.0233 | 2 | 2.5766 | -0.0262 | 2.5766 | 1.6052 |
| No log | 0.0465 | 4 | 1.3048 | 0.0997 | 1.3048 | 1.1423 |
| No log | 0.0698 | 6 | 0.9277 | -0.0660 | 0.9277 | 0.9632 |
| No log | 0.0930 | 8 | 0.8725 | 0.0637 | 0.8725 | 0.9341 |
| No log | 0.1163 | 10 | 0.8817 | 0.2589 | 0.8817 | 0.9390 |
| No log | 0.1395 | 12 | 0.8682 | 0.2206 | 0.8682 | 0.9318 |
| No log | 0.1628 | 14 | 0.9059 | 0.1775 | 0.9059 | 0.9518 |
| No log | 0.1860 | 16 | 0.8248 | 0.2336 | 0.8248 | 0.9082 |
| No log | 0.2093 | 18 | 0.8325 | 0.2405 | 0.8325 | 0.9124 |
| No log | 0.2326 | 20 | 0.7714 | 0.2405 | 0.7714 | 0.8783 |
| No log | 0.2558 | 22 | 0.7829 | 0.2405 | 0.7829 | 0.8848 |
| No log | 0.2791 | 24 | 0.7877 | 0.1139 | 0.7877 | 0.8875 |
| No log | 0.3023 | 26 | 0.7470 | 0.2024 | 0.7470 | 0.8643 |
| No log | 0.3256 | 28 | 0.7358 | 0.2713 | 0.7358 | 0.8578 |
| No log | 0.3488 | 30 | 0.7811 | 0.0764 | 0.7811 | 0.8838 |
| No log | 0.3721 | 32 | 0.7202 | 0.2540 | 0.7202 | 0.8486 |
| No log | 0.3953 | 34 | 0.6927 | 0.3081 | 0.6927 | 0.8323 |
| No log | 0.4186 | 36 | 0.7165 | 0.2652 | 0.7165 | 0.8465 |
| No log | 0.4419 | 38 | 0.6843 | 0.2783 | 0.6843 | 0.8272 |
| No log | 0.4651 | 40 | 0.7514 | 0.2545 | 0.7514 | 0.8668 |
| No log | 0.4884 | 42 | 0.9163 | 0.1973 | 0.9163 | 0.9572 |
| No log | 0.5116 | 44 | 1.1367 | 0.0452 | 1.1367 | 1.0662 |
| No log | 0.5349 | 46 | 1.2227 | 0.0479 | 1.2227 | 1.1057 |
| No log | 0.5581 | 48 | 1.2830 | 0.0479 | 1.2830 | 1.1327 |
| No log | 0.5814 | 50 | 1.0309 | 0.2263 | 1.0309 | 1.0153 |
| No log | 0.6047 | 52 | 0.7989 | 0.1372 | 0.7989 | 0.8938 |
| No log | 0.6279 | 54 | 0.7324 | 0.0810 | 0.7324 | 0.8558 |
| No log | 0.6512 | 56 | 0.7059 | 0.1498 | 0.7059 | 0.8402 |
| No log | 0.6744 | 58 | 0.7048 | 0.2345 | 0.7048 | 0.8396 |
| No log | 0.6977 | 60 | 0.7053 | 0.1962 | 0.7053 | 0.8398 |
| No log | 0.7209 | 62 | 0.7357 | 0.2353 | 0.7357 | 0.8577 |
| No log | 0.7442 | 64 | 0.7822 | 0.1647 | 0.7822 | 0.8844 |
| No log | 0.7674 | 66 | 0.8044 | 0.1977 | 0.8044 | 0.8969 |
| No log | 0.7907 | 68 | 0.9603 | 0.2008 | 0.9603 | 0.9799 |
| No log | 0.8140 | 70 | 1.1174 | 0.0989 | 1.1174 | 1.0571 |
| No log | 0.8372 | 72 | 1.1690 | 0.0731 | 1.1690 | 1.0812 |
| No log | 0.8605 | 74 | 1.2111 | 0.0993 | 1.2111 | 1.1005 |
| No log | 0.8837 | 76 | 1.0874 | 0.2113 | 1.0874 | 1.0428 |
| No log | 0.9070 | 78 | 0.8675 | 0.2402 | 0.8675 | 0.9314 |
| No log | 0.9302 | 80 | 0.7493 | 0.1221 | 0.7493 | 0.8656 |
| No log | 0.9535 | 82 | 0.7108 | 0.1456 | 0.7108 | 0.8431 |
| No log | 0.9767 | 84 | 0.7257 | 0.1359 | 0.7257 | 0.8519 |
| No log | 1.0 | 86 | 0.7426 | 0.0295 | 0.7426 | 0.8617 |
| No log | 1.0233 | 88 | 0.8246 | 0.0026 | 0.8246 | 0.9081 |
| No log | 1.0465 | 90 | 0.9476 | 0.1700 | 0.9476 | 0.9734 |
| No log | 1.0698 | 92 | 0.9304 | 0.1649 | 0.9304 | 0.9646 |
| No log | 1.0930 | 94 | 0.9152 | 0.1290 | 0.9152 | 0.9567 |
| No log | 1.1163 | 96 | 0.9543 | 0.1281 | 0.9543 | 0.9769 |
| No log | 1.1395 | 98 | 0.9700 | 0.1281 | 0.9700 | 0.9849 |
| No log | 1.1628 | 100 | 0.9354 | 0.0501 | 0.9354 | 0.9671 |
| No log | 1.1860 | 102 | 0.9515 | 0.0909 | 0.9515 | 0.9754 |
| No log | 1.2093 | 104 | 0.9541 | 0.1352 | 0.9541 | 0.9768 |
| No log | 1.2326 | 106 | 0.9029 | 0.0 | 0.9029 | 0.9502 |
| No log | 1.2558 | 108 | 0.8932 | 0.0344 | 0.8932 | 0.9451 |
| No log | 1.2791 | 110 | 0.9177 | -0.0025 | 0.9177 | 0.9580 |
| No log | 1.3023 | 112 | 1.0074 | 0.0957 | 1.0074 | 1.0037 |
| No log | 1.3256 | 114 | 1.2305 | -0.0423 | 1.2305 | 1.1093 |
| No log | 1.3488 | 116 | 1.2091 | -0.0423 | 1.2091 | 1.0996 |
| No log | 1.3721 | 118 | 1.1576 | 0.0092 | 1.1576 | 1.0759 |
| No log | 1.3953 | 120 | 1.1559 | 0.0356 | 1.1559 | 1.0751 |
| No log | 1.4186 | 122 | 1.2089 | 0.0401 | 1.2089 | 1.0995 |
| No log | 1.4419 | 124 | 1.2125 | 0.0666 | 1.2125 | 1.1011 |
| No log | 1.4651 | 126 | 1.1850 | 0.0412 | 1.1850 | 1.0886 |
| No log | 1.4884 | 128 | 1.2220 | 0.0461 | 1.2220 | 1.1054 |
| No log | 1.5116 | 130 | 1.0626 | 0.1220 | 1.0626 | 1.0308 |
| No log | 1.5349 | 132 | 0.9969 | 0.1228 | 0.9969 | 0.9984 |
| No log | 1.5581 | 134 | 0.9898 | 0.0906 | 0.9898 | 0.9949 |
| No log | 1.5814 | 136 | 1.1055 | 0.0915 | 1.1055 | 1.0514 |
| No log | 1.6047 | 138 | 1.3702 | -0.0168 | 1.3702 | 1.1706 |
| No log | 1.6279 | 140 | 1.5379 | 0.0566 | 1.5379 | 1.2401 |
| No log | 1.6512 | 142 | 1.4445 | 0.0566 | 1.4445 | 1.2019 |
| No log | 1.6744 | 144 | 1.2036 | 0.0745 | 1.2036 | 1.0971 |
| No log | 1.6977 | 146 | 0.9710 | 0.1234 | 0.9710 | 0.9854 |
| No log | 1.7209 | 148 | 0.8952 | 0.1259 | 0.8952 | 0.9462 |
| No log | 1.7442 | 150 | 0.8808 | 0.0861 | 0.8808 | 0.9385 |
| No log | 1.7674 | 152 | 0.9476 | 0.0955 | 0.9476 | 0.9735 |
| No log | 1.7907 | 154 | 0.9940 | 0.0964 | 0.9940 | 0.9970 |
| No log | 1.8140 | 156 | 0.9265 | 0.1310 | 0.9265 | 0.9626 |
| No log | 1.8372 | 158 | 0.8563 | -0.0443 | 0.8563 | 0.9253 |
| No log | 1.8605 | 160 | 0.8462 | -0.0526 | 0.8462 | 0.9199 |
| No log | 1.8837 | 162 | 0.8589 | 0.0827 | 0.8589 | 0.9268 |
| No log | 1.9070 | 164 | 1.0307 | 0.1269 | 1.0307 | 1.0152 |
| No log | 1.9302 | 166 | 1.1311 | 0.1277 | 1.1311 | 1.0635 |
| No log | 1.9535 | 168 | 1.0214 | 0.1228 | 1.0214 | 1.0107 |
| No log | 1.9767 | 170 | 0.9145 | 0.1052 | 0.9145 | 0.9563 |
| No log | 2.0 | 172 | 0.8679 | 0.2563 | 0.8679 | 0.9316 |
| No log | 2.0233 | 174 | 0.8764 | 0.1090 | 0.8764 | 0.9361 |
| No log | 2.0465 | 176 | 0.9630 | 0.0860 | 0.9630 | 0.9813 |
| No log | 2.0698 | 178 | 0.9598 | 0.1201 | 0.9598 | 0.9797 |
| No log | 2.0930 | 180 | 0.8869 | 0.1586 | 0.8869 | 0.9418 |
| No log | 2.1163 | 182 | 0.8424 | 0.0301 | 0.8424 | 0.9178 |
| No log | 2.1395 | 184 | 0.8335 | 0.1935 | 0.8335 | 0.9130 |
| No log | 2.1628 | 186 | 0.8496 | 0.1786 | 0.8496 | 0.9217 |
| No log | 2.1860 | 188 | 0.8448 | 0.1487 | 0.8448 | 0.9191 |
| No log | 2.2093 | 190 | 0.8507 | 0.1988 | 0.8507 | 0.9223 |
| No log | 2.2326 | 192 | 0.8591 | 0.1786 | 0.8591 | 0.9269 |
| No log | 2.2558 | 194 | 0.8694 | 0.2149 | 0.8694 | 0.9324 |
| No log | 2.2791 | 196 | 0.8457 | -0.0511 | 0.8457 | 0.9196 |
| No log | 2.3023 | 198 | 0.8516 | -0.0479 | 0.8516 | 0.9228 |
| No log | 2.3256 | 200 | 0.8203 | 0.1746 | 0.8203 | 0.9057 |
| No log | 2.3488 | 202 | 0.8090 | 0.2078 | 0.8090 | 0.8995 |
| No log | 2.3721 | 204 | 0.8163 | 0.2092 | 0.8163 | 0.9035 |
| No log | 2.3953 | 206 | 0.8092 | 0.2092 | 0.8092 | 0.8995 |
| No log | 2.4186 | 208 | 0.7861 | 0.2170 | 0.7861 | 0.8866 |
| No log | 2.4419 | 210 | 0.7891 | 0.0778 | 0.7891 | 0.8883 |
| No log | 2.4651 | 212 | 0.7674 | 0.1176 | 0.7674 | 0.8760 |
| No log | 2.4884 | 214 | 0.7625 | 0.0778 | 0.7625 | 0.8732 |
| No log | 2.5116 | 216 | 0.8281 | 0.2214 | 0.8281 | 0.9100 |
| No log | 2.5349 | 218 | 0.9561 | 0.1798 | 0.9561 | 0.9778 |
| No log | 2.5581 | 220 | 0.9271 | 0.1528 | 0.9271 | 0.9629 |
| No log | 2.5814 | 222 | 0.7981 | 0.2019 | 0.7981 | 0.8934 |
| No log | 2.6047 | 224 | 0.7691 | 0.2505 | 0.7691 | 0.8770 |
| No log | 2.6279 | 226 | 0.7465 | 0.2838 | 0.7465 | 0.8640 |
| No log | 2.6512 | 228 | 0.7976 | 0.3367 | 0.7976 | 0.8931 |
| No log | 2.6744 | 230 | 0.8891 | 0.2091 | 0.8891 | 0.9429 |
| No log | 2.6977 | 232 | 0.8255 | 0.2401 | 0.8255 | 0.9086 |
| No log | 2.7209 | 234 | 0.7037 | 0.3229 | 0.7037 | 0.8389 |
| No log | 2.7442 | 236 | 0.7221 | 0.3665 | 0.7221 | 0.8498 |
| No log | 2.7674 | 238 | 0.7472 | 0.3891 | 0.7472 | 0.8644 |
| No log | 2.7907 | 240 | 0.7024 | 0.3478 | 0.7024 | 0.8381 |
| No log | 2.8140 | 242 | 0.7413 | 0.3829 | 0.7413 | 0.8610 |
| No log | 2.8372 | 244 | 0.8110 | 0.2476 | 0.8110 | 0.9006 |
| No log | 2.8605 | 246 | 0.7626 | 0.3367 | 0.7626 | 0.8733 |
| No log | 2.8837 | 248 | 0.7485 | 0.3946 | 0.7485 | 0.8652 |
| No log | 2.9070 | 250 | 0.7346 | 0.3762 | 0.7346 | 0.8571 |
| No log | 2.9302 | 252 | 0.7611 | 0.4461 | 0.7611 | 0.8724 |
| No log | 2.9535 | 254 | 0.9431 | 0.2729 | 0.9431 | 0.9711 |
| No log | 2.9767 | 256 | 1.0029 | 0.1960 | 1.0029 | 1.0014 |
| No log | 3.0 | 258 | 0.8975 | 0.2267 | 0.8975 | 0.9474 |
| No log | 3.0233 | 260 | 0.7745 | 0.3215 | 0.7745 | 0.8801 |
| No log | 3.0465 | 262 | 0.6845 | 0.4128 | 0.6845 | 0.8273 |
| No log | 3.0698 | 264 | 0.6832 | 0.4700 | 0.6832 | 0.8266 |
| No log | 3.0930 | 266 | 0.6825 | 0.5021 | 0.6825 | 0.8262 |
| No log | 3.1163 | 268 | 0.7292 | 0.3167 | 0.7292 | 0.8539 |
| No log | 3.1395 | 270 | 0.8328 | 0.2554 | 0.8328 | 0.9126 |
| No log | 3.1628 | 272 | 0.7442 | 0.3937 | 0.7442 | 0.8627 |
| No log | 3.1860 | 274 | 0.6633 | 0.5003 | 0.6633 | 0.8145 |
| No log | 3.2093 | 276 | 0.7495 | 0.4294 | 0.7495 | 0.8657 |
| No log | 3.2326 | 278 | 0.7632 | 0.3723 | 0.7632 | 0.8736 |
| No log | 3.2558 | 280 | 0.6939 | 0.3891 | 0.6939 | 0.8330 |
| No log | 3.2791 | 282 | 0.6780 | 0.4299 | 0.6780 | 0.8234 |
| No log | 3.3023 | 284 | 0.8335 | 0.2910 | 0.8335 | 0.9130 |
| No log | 3.3256 | 286 | 0.9320 | 0.2310 | 0.9320 | 0.9654 |
| No log | 3.3488 | 288 | 0.8999 | 0.2044 | 0.8999 | 0.9486 |
| No log | 3.3721 | 290 | 0.7865 | 0.2793 | 0.7865 | 0.8868 |
| No log | 3.3953 | 292 | 0.7007 | 0.3213 | 0.7007 | 0.8371 |
| No log | 3.4186 | 294 | 0.6988 | 0.2973 | 0.6988 | 0.8360 |
| No log | 3.4419 | 296 | 0.6972 | 0.2884 | 0.6972 | 0.8350 |
| No log | 3.4651 | 298 | 0.7222 | 0.3050 | 0.7222 | 0.8498 |
| No log | 3.4884 | 300 | 0.7775 | 0.2581 | 0.7775 | 0.8818 |
| No log | 3.5116 | 302 | 0.7944 | 0.2133 | 0.7944 | 0.8913 |
| No log | 3.5349 | 304 | 0.7811 | 0.3051 | 0.7811 | 0.8838 |
| No log | 3.5581 | 306 | 0.6754 | 0.3089 | 0.6754 | 0.8218 |
| No log | 3.5814 | 308 | 0.6638 | 0.4705 | 0.6638 | 0.8147 |
| No log | 3.6047 | 310 | 0.6778 | 0.4158 | 0.6778 | 0.8233 |
| No log | 3.6279 | 312 | 0.6472 | 0.4637 | 0.6472 | 0.8045 |
| No log | 3.6512 | 314 | 0.6410 | 0.4229 | 0.6410 | 0.8006 |
| No log | 3.6744 | 316 | 0.6464 | 0.4229 | 0.6464 | 0.8040 |
| No log | 3.6977 | 318 | 0.6530 | 0.4482 | 0.6530 | 0.8081 |
| No log | 3.7209 | 320 | 0.6602 | 0.3970 | 0.6602 | 0.8125 |
| No log | 3.7442 | 322 | 0.6620 | 0.4660 | 0.6620 | 0.8136 |
| No log | 3.7674 | 324 | 0.6661 | 0.4576 | 0.6661 | 0.8161 |
| No log | 3.7907 | 326 | 0.6749 | 0.4576 | 0.6749 | 0.8216 |
| No log | 3.8140 | 328 | 0.6560 | 0.4837 | 0.6560 | 0.8099 |
| No log | 3.8372 | 330 | 0.6522 | 0.4240 | 0.6522 | 0.8076 |
| No log | 3.8605 | 332 | 0.6648 | 0.4527 | 0.6648 | 0.8154 |
| No log | 3.8837 | 334 | 0.7872 | 0.2830 | 0.7872 | 0.8873 |
| No log | 3.9070 | 336 | 0.8976 | 0.2555 | 0.8976 | 0.9474 |
| No log | 3.9302 | 338 | 0.7960 | 0.3052 | 0.7960 | 0.8922 |
| No log | 3.9535 | 340 | 0.7099 | 0.3448 | 0.7099 | 0.8425 |
| No log | 3.9767 | 342 | 0.7054 | 0.3448 | 0.7054 | 0.8399 |
| No log | 4.0 | 344 | 0.8147 | 0.2554 | 0.8147 | 0.9026 |
| No log | 4.0233 | 346 | 0.8069 | 0.2554 | 0.8069 | 0.8983 |
| No log | 4.0465 | 348 | 0.6787 | 0.4411 | 0.6787 | 0.8238 |
| No log | 4.0698 | 350 | 0.6373 | 0.4249 | 0.6373 | 0.7983 |
| No log | 4.0930 | 352 | 0.6580 | 0.4193 | 0.6580 | 0.8112 |
| No log | 4.1163 | 354 | 0.8072 | 0.3290 | 0.8072 | 0.8984 |
| No log | 4.1395 | 356 | 1.0929 | 0.2471 | 1.0929 | 1.0454 |
| No log | 4.1628 | 358 | 1.1765 | 0.2395 | 1.1765 | 1.0847 |
| No log | 4.1860 | 360 | 1.2651 | 0.2120 | 1.2651 | 1.1248 |
| No log | 4.2093 | 362 | 1.0444 | 0.3135 | 1.0444 | 1.0220 |
| No log | 4.2326 | 364 | 0.9815 | 0.3486 | 0.9815 | 0.9907 |
| No log | 4.2558 | 366 | 1.0060 | 0.3279 | 1.0060 | 1.0030 |
| No log | 4.2791 | 368 | 0.8607 | 0.3767 | 0.8607 | 0.9277 |
| No log | 4.3023 | 370 | 0.7960 | 0.3727 | 0.7960 | 0.8922 |
| No log | 4.3256 | 372 | 0.7415 | 0.3284 | 0.7415 | 0.8611 |
| No log | 4.3488 | 374 | 0.7273 | 0.3186 | 0.7273 | 0.8528 |
| No log | 4.3721 | 376 | 0.7488 | 0.3561 | 0.7488 | 0.8653 |
| No log | 4.3953 | 378 | 0.7345 | 0.3607 | 0.7345 | 0.8571 |
| No log | 4.4186 | 380 | 0.7290 | 0.3467 | 0.7290 | 0.8538 |
| No log | 4.4419 | 382 | 0.7282 | 0.3433 | 0.7282 | 0.8533 |
| No log | 4.4651 | 384 | 0.7597 | 0.3512 | 0.7597 | 0.8716 |
| No log | 4.4884 | 386 | 0.8887 | 0.3398 | 0.8887 | 0.9427 |
| No log | 4.5116 | 388 | 0.9348 | 0.3135 | 0.9348 | 0.9668 |
| No log | 4.5349 | 390 | 0.8767 | 0.3165 | 0.8767 | 0.9363 |
| No log | 4.5581 | 392 | 0.7472 | 0.3373 | 0.7472 | 0.8644 |
| No log | 4.5814 | 394 | 0.7162 | 0.3935 | 0.7162 | 0.8463 |
| No log | 4.6047 | 396 | 0.7176 | 0.3590 | 0.7176 | 0.8471 |
| No log | 4.6279 | 398 | 0.7517 | 0.3410 | 0.7517 | 0.8670 |
| No log | 4.6512 | 400 | 0.7965 | 0.3576 | 0.7965 | 0.8925 |
| No log | 4.6744 | 402 | 0.7653 | 0.3373 | 0.7653 | 0.8748 |
| No log | 4.6977 | 404 | 0.7162 | 0.4186 | 0.7162 | 0.8463 |
| No log | 4.7209 | 406 | 0.7582 | 0.4081 | 0.7582 | 0.8707 |
| No log | 4.7442 | 408 | 0.7394 | 0.3793 | 0.7394 | 0.8599 |
| No log | 4.7674 | 410 | 0.7146 | 0.4182 | 0.7146 | 0.8454 |
| No log | 4.7907 | 412 | 0.7402 | 0.3457 | 0.7402 | 0.8604 |
| No log | 4.8140 | 414 | 0.7613 | 0.3264 | 0.7613 | 0.8725 |
| No log | 4.8372 | 416 | 0.7281 | 0.3178 | 0.7281 | 0.8533 |
| No log | 4.8605 | 418 | 0.6701 | 0.4475 | 0.6701 | 0.8186 |
| No log | 4.8837 | 420 | 0.6703 | 0.4147 | 0.6703 | 0.8187 |
| No log | 4.9070 | 422 | 0.6862 | 0.4434 | 0.6862 | 0.8284 |
| No log | 4.9302 | 424 | 0.6971 | 0.4125 | 0.6971 | 0.8349 |
| No log | 4.9535 | 426 | 0.6936 | 0.4620 | 0.6936 | 0.8328 |
| No log | 4.9767 | 428 | 0.7142 | 0.4179 | 0.7142 | 0.8451 |
| No log | 5.0 | 430 | 0.7358 | 0.4292 | 0.7358 | 0.8578 |
| No log | 5.0233 | 432 | 0.7597 | 0.3095 | 0.7597 | 0.8716 |
| No log | 5.0465 | 434 | 0.7206 | 0.4314 | 0.7206 | 0.8489 |
| No log | 5.0698 | 436 | 0.6856 | 0.4137 | 0.6856 | 0.8280 |
| No log | 5.0930 | 438 | 0.7075 | 0.2971 | 0.7075 | 0.8411 |
| No log | 5.1163 | 440 | 0.7217 | 0.2624 | 0.7217 | 0.8495 |
| No log | 5.1395 | 442 | 0.7222 | 0.4137 | 0.7222 | 0.8498 |
| No log | 5.1628 | 444 | 0.7396 | 0.4342 | 0.7396 | 0.8600 |
| No log | 5.1860 | 446 | 0.7391 | 0.4342 | 0.7391 | 0.8597 |
| No log | 5.2093 | 448 | 0.7486 | 0.3153 | 0.7486 | 0.8652 |
| No log | 5.2326 | 450 | 0.7543 | 0.2819 | 0.7543 | 0.8685 |
| No log | 5.2558 | 452 | 0.7314 | 0.3835 | 0.7314 | 0.8552 |
| No log | 5.2791 | 454 | 0.7410 | 0.4828 | 0.7410 | 0.8608 |
| No log | 5.3023 | 456 | 0.7291 | 0.4828 | 0.7291 | 0.8539 |
| No log | 5.3256 | 458 | 0.7140 | 0.3293 | 0.7140 | 0.8450 |
| No log | 5.3488 | 460 | 0.7418 | 0.2680 | 0.7418 | 0.8613 |
| No log | 5.3721 | 462 | 0.7968 | 0.2652 | 0.7968 | 0.8926 |
| No log | 5.3953 | 464 | 0.8161 | 0.2651 | 0.8161 | 0.9034 |
| No log | 5.4186 | 466 | 0.7548 | 0.2571 | 0.7548 | 0.8688 |
| No log | 5.4419 | 468 | 0.7198 | 0.3810 | 0.7198 | 0.8484 |
| No log | 5.4651 | 470 | 0.7237 | 0.4244 | 0.7237 | 0.8507 |
| No log | 5.4884 | 472 | 0.7268 | 0.3347 | 0.7268 | 0.8525 |
| No log | 5.5116 | 474 | 0.7793 | 0.2870 | 0.7793 | 0.8828 |
| No log | 5.5349 | 476 | 0.8577 | 0.2576 | 0.8577 | 0.9261 |
| No log | 5.5581 | 478 | 0.8467 | 0.2576 | 0.8467 | 0.9201 |
| No log | 5.5814 | 480 | 0.7569 | 0.2624 | 0.7569 | 0.8700 |
| No log | 5.6047 | 482 | 0.7430 | 0.3448 | 0.7430 | 0.8620 |
| No log | 5.6279 | 484 | 0.7528 | 0.3274 | 0.7528 | 0.8676 |
| No log | 5.6512 | 486 | 0.7245 | 0.3910 | 0.7245 | 0.8512 |
| No log | 5.6744 | 488 | 0.7334 | 0.2281 | 0.7334 | 0.8564 |
| No log | 5.6977 | 490 | 0.7526 | 0.3202 | 0.7526 | 0.8675 |
| No log | 5.7209 | 492 | 0.7664 | 0.3410 | 0.7664 | 0.8754 |
| No log | 5.7442 | 494 | 0.7822 | 0.3114 | 0.7822 | 0.8844 |
| No log | 5.7674 | 496 | 0.7429 | 0.2268 | 0.7429 | 0.8619 |
| No log | 5.7907 | 498 | 0.7164 | 0.4287 | 0.7164 | 0.8464 |
| 0.3619 | 5.8140 | 500 | 0.7243 | 0.4006 | 0.7243 | 0.8511 |
| 0.3619 | 5.8372 | 502 | 0.7255 | 0.3738 | 0.7255 | 0.8518 |
| 0.3619 | 5.8605 | 504 | 0.7168 | 0.3883 | 0.7168 | 0.8466 |
| 0.3619 | 5.8837 | 506 | 0.7309 | 0.3252 | 0.7309 | 0.8550 |
| 0.3619 | 5.9070 | 508 | 0.7655 | 0.2890 | 0.7655 | 0.8749 |
| 0.3619 | 5.9302 | 510 | 0.7581 | 0.2784 | 0.7581 | 0.8707 |
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_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02