ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k19_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: 0.5532
- Qwk: 0.4505
- Mse: 0.5532
- Rmse: 0.7438
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 | 0.0206 | 2 | 2.6693 | -0.1213 | 2.6693 | 1.6338 |
| No log | 0.0412 | 4 | 1.3713 | 0.0111 | 1.3713 | 1.1710 |
| No log | 0.0619 | 6 | 1.0520 | -0.0681 | 1.0520 | 1.0257 |
| No log | 0.0825 | 8 | 0.8570 | 0.1347 | 0.8570 | 0.9257 |
| No log | 0.1031 | 10 | 1.0218 | 0.1535 | 1.0218 | 1.0108 |
| No log | 0.1237 | 12 | 0.7916 | 0.2204 | 0.7916 | 0.8897 |
| No log | 0.1443 | 14 | 0.8251 | 0.4129 | 0.8251 | 0.9083 |
| No log | 0.1649 | 16 | 0.7227 | 0.3213 | 0.7227 | 0.8501 |
| No log | 0.1856 | 18 | 0.8165 | 0.1962 | 0.8165 | 0.9036 |
| No log | 0.2062 | 20 | 0.7809 | 0.3032 | 0.7809 | 0.8837 |
| No log | 0.2268 | 22 | 0.7220 | 0.3238 | 0.7220 | 0.8497 |
| No log | 0.2474 | 24 | 0.6803 | 0.2506 | 0.6803 | 0.8248 |
| No log | 0.2680 | 26 | 0.6816 | 0.2085 | 0.6816 | 0.8256 |
| No log | 0.2887 | 28 | 0.8104 | 0.2904 | 0.8104 | 0.9002 |
| No log | 0.3093 | 30 | 0.7834 | 0.3032 | 0.7834 | 0.8851 |
| No log | 0.3299 | 32 | 0.6716 | 0.2085 | 0.6716 | 0.8195 |
| No log | 0.3505 | 34 | 0.6433 | 0.3774 | 0.6433 | 0.8020 |
| No log | 0.3711 | 36 | 0.7268 | 0.4674 | 0.7268 | 0.8526 |
| No log | 0.3918 | 38 | 0.6480 | 0.3363 | 0.6480 | 0.8050 |
| No log | 0.4124 | 40 | 0.7301 | 0.3355 | 0.7301 | 0.8545 |
| No log | 0.4330 | 42 | 0.9711 | 0.3137 | 0.9711 | 0.9855 |
| No log | 0.4536 | 44 | 0.8982 | 0.3042 | 0.8982 | 0.9477 |
| No log | 0.4742 | 46 | 0.7074 | 0.2590 | 0.7074 | 0.8411 |
| No log | 0.4948 | 48 | 0.7264 | 0.2182 | 0.7264 | 0.8523 |
| No log | 0.5155 | 50 | 0.8223 | 0.2812 | 0.8223 | 0.9068 |
| No log | 0.5361 | 52 | 0.7711 | 0.3095 | 0.7711 | 0.8781 |
| No log | 0.5567 | 54 | 0.8653 | 0.3359 | 0.8653 | 0.9302 |
| No log | 0.5773 | 56 | 0.8291 | 0.3359 | 0.8291 | 0.9106 |
| No log | 0.5979 | 58 | 0.8267 | 0.3606 | 0.8267 | 0.9092 |
| No log | 0.6186 | 60 | 0.7145 | 0.2995 | 0.7145 | 0.8453 |
| No log | 0.6392 | 62 | 0.6564 | 0.2981 | 0.6564 | 0.8102 |
| No log | 0.6598 | 64 | 0.6982 | 0.3127 | 0.6982 | 0.8356 |
| No log | 0.6804 | 66 | 0.6403 | 0.3324 | 0.6403 | 0.8002 |
| No log | 0.7010 | 68 | 0.7080 | 0.3355 | 0.7080 | 0.8414 |
| No log | 0.7216 | 70 | 0.8440 | 0.2518 | 0.8440 | 0.9187 |
| No log | 0.7423 | 72 | 1.4476 | 0.1327 | 1.4476 | 1.2032 |
| No log | 0.7629 | 74 | 1.6323 | 0.0665 | 1.6323 | 1.2776 |
| No log | 0.7835 | 76 | 1.1951 | 0.2055 | 1.1951 | 1.0932 |
| No log | 0.8041 | 78 | 0.7252 | 0.4697 | 0.7252 | 0.8516 |
| No log | 0.8247 | 80 | 0.8447 | 0.4340 | 0.8447 | 0.9190 |
| No log | 0.8454 | 82 | 0.8605 | 0.4038 | 0.8605 | 0.9276 |
| No log | 0.8660 | 84 | 0.7144 | 0.4 | 0.7144 | 0.8452 |
| No log | 0.8866 | 86 | 0.7776 | 0.3450 | 0.7776 | 0.8818 |
| No log | 0.9072 | 88 | 1.0060 | 0.3051 | 1.0060 | 1.0030 |
| No log | 0.9278 | 90 | 1.0804 | 0.2886 | 1.0804 | 1.0394 |
| No log | 0.9485 | 92 | 1.0399 | 0.2886 | 1.0399 | 1.0198 |
| No log | 0.9691 | 94 | 1.0783 | 0.2392 | 1.0783 | 1.0384 |
| No log | 0.9897 | 96 | 1.1094 | 0.2084 | 1.1094 | 1.0533 |
| No log | 1.0103 | 98 | 1.1500 | 0.2084 | 1.1500 | 1.0724 |
| No log | 1.0309 | 100 | 1.3225 | 0.1805 | 1.3225 | 1.1500 |
| No log | 1.0515 | 102 | 1.0531 | 0.2999 | 1.0531 | 1.0262 |
| No log | 1.0722 | 104 | 0.8173 | 0.1541 | 0.8173 | 0.9040 |
| No log | 1.0928 | 106 | 0.7715 | 0.2121 | 0.7715 | 0.8784 |
| No log | 1.1134 | 108 | 0.7361 | 0.3258 | 0.7361 | 0.8579 |
| No log | 1.1340 | 110 | 0.8103 | 0.3440 | 0.8103 | 0.9002 |
| No log | 1.1546 | 112 | 1.0390 | 0.3052 | 1.0390 | 1.0193 |
| No log | 1.1753 | 114 | 1.0237 | 0.2824 | 1.0237 | 1.0118 |
| No log | 1.1959 | 116 | 0.9767 | 0.3031 | 0.9767 | 0.9883 |
| No log | 1.2165 | 118 | 0.8939 | 0.3381 | 0.8939 | 0.9454 |
| No log | 1.2371 | 120 | 0.8098 | 0.3754 | 0.8098 | 0.8999 |
| No log | 1.2577 | 122 | 0.7120 | 0.4704 | 0.7120 | 0.8438 |
| No log | 1.2784 | 124 | 0.8298 | 0.3710 | 0.8298 | 0.9110 |
| No log | 1.2990 | 126 | 0.9349 | 0.3411 | 0.9349 | 0.9669 |
| No log | 1.3196 | 128 | 1.0383 | 0.3203 | 1.0383 | 1.0190 |
| No log | 1.3402 | 130 | 0.8010 | 0.3320 | 0.8010 | 0.8950 |
| No log | 1.3608 | 132 | 0.7419 | 0.4513 | 0.7419 | 0.8613 |
| No log | 1.3814 | 134 | 0.7376 | 0.4513 | 0.7376 | 0.8588 |
| No log | 1.4021 | 136 | 0.9012 | 0.3740 | 0.9012 | 0.9493 |
| No log | 1.4227 | 138 | 0.8403 | 0.3803 | 0.8403 | 0.9167 |
| No log | 1.4433 | 140 | 0.8236 | 0.3803 | 0.8236 | 0.9075 |
| No log | 1.4639 | 142 | 0.7159 | 0.4684 | 0.7159 | 0.8461 |
| No log | 1.4845 | 144 | 0.8336 | 0.3579 | 0.8336 | 0.9130 |
| No log | 1.5052 | 146 | 0.8220 | 0.3638 | 0.8220 | 0.9066 |
| No log | 1.5258 | 148 | 0.6905 | 0.3936 | 0.6905 | 0.8310 |
| No log | 1.5464 | 150 | 0.6307 | 0.3561 | 0.6307 | 0.7942 |
| No log | 1.5670 | 152 | 0.6242 | 0.3910 | 0.6242 | 0.7901 |
| No log | 1.5876 | 154 | 0.6268 | 0.3586 | 0.6268 | 0.7917 |
| No log | 1.6082 | 156 | 0.6331 | 0.4229 | 0.6331 | 0.7957 |
| No log | 1.6289 | 158 | 0.6648 | 0.4414 | 0.6648 | 0.8153 |
| No log | 1.6495 | 160 | 0.9026 | 0.3618 | 0.9026 | 0.9501 |
| No log | 1.6701 | 162 | 0.9658 | 0.3305 | 0.9658 | 0.9827 |
| No log | 1.6907 | 164 | 0.7497 | 0.3976 | 0.7497 | 0.8659 |
| No log | 1.7113 | 166 | 0.7172 | 0.4260 | 0.7172 | 0.8469 |
| No log | 1.7320 | 168 | 0.7615 | 0.4144 | 0.7615 | 0.8727 |
| No log | 1.7526 | 170 | 0.7400 | 0.4163 | 0.7400 | 0.8602 |
| No log | 1.7732 | 172 | 0.7296 | 0.4163 | 0.7296 | 0.8541 |
| No log | 1.7938 | 174 | 0.6909 | 0.4091 | 0.6909 | 0.8312 |
| No log | 1.8144 | 176 | 0.6833 | 0.4091 | 0.6833 | 0.8266 |
| No log | 1.8351 | 178 | 0.7483 | 0.3909 | 0.7483 | 0.8650 |
| No log | 1.8557 | 180 | 0.8904 | 0.3074 | 0.8904 | 0.9436 |
| No log | 1.8763 | 182 | 0.7663 | 0.4409 | 0.7663 | 0.8754 |
| No log | 1.8969 | 184 | 0.6519 | 0.3572 | 0.6519 | 0.8074 |
| No log | 1.9175 | 186 | 0.6627 | 0.3894 | 0.6627 | 0.8141 |
| No log | 1.9381 | 188 | 0.6985 | 0.3518 | 0.6985 | 0.8357 |
| No log | 1.9588 | 190 | 0.7401 | 0.4330 | 0.7401 | 0.8603 |
| No log | 1.9794 | 192 | 0.8194 | 0.4102 | 0.8194 | 0.9052 |
| No log | 2.0 | 194 | 0.7861 | 0.4424 | 0.7861 | 0.8866 |
| No log | 2.0206 | 196 | 0.6676 | 0.5770 | 0.6676 | 0.8170 |
| No log | 2.0412 | 198 | 0.6282 | 0.4315 | 0.6282 | 0.7926 |
| No log | 2.0619 | 200 | 0.6818 | 0.4444 | 0.6818 | 0.8257 |
| No log | 2.0825 | 202 | 0.6068 | 0.3457 | 0.6068 | 0.7790 |
| No log | 2.1031 | 204 | 0.6000 | 0.5036 | 0.6000 | 0.7746 |
| No log | 2.1237 | 206 | 0.5949 | 0.4945 | 0.5949 | 0.7713 |
| No log | 2.1443 | 208 | 0.5643 | 0.4776 | 0.5643 | 0.7512 |
| No log | 2.1649 | 210 | 0.7613 | 0.3439 | 0.7613 | 0.8726 |
| No log | 2.1856 | 212 | 1.0503 | 0.2746 | 1.0503 | 1.0249 |
| No log | 2.2062 | 214 | 0.9777 | 0.3278 | 0.9777 | 0.9888 |
| No log | 2.2268 | 216 | 0.7014 | 0.4193 | 0.7014 | 0.8375 |
| No log | 2.2474 | 218 | 0.5543 | 0.4160 | 0.5543 | 0.7445 |
| No log | 2.2680 | 220 | 0.5851 | 0.4684 | 0.5851 | 0.7649 |
| No log | 2.2887 | 222 | 0.5883 | 0.4945 | 0.5883 | 0.7670 |
| No log | 2.3093 | 224 | 0.5528 | 0.4575 | 0.5528 | 0.7435 |
| No log | 2.3299 | 226 | 0.5756 | 0.4737 | 0.5756 | 0.7587 |
| No log | 2.3505 | 228 | 0.5676 | 0.5092 | 0.5676 | 0.7534 |
| No log | 2.3711 | 230 | 0.5738 | 0.4358 | 0.5738 | 0.7575 |
| No log | 2.3918 | 232 | 0.6157 | 0.5655 | 0.6157 | 0.7847 |
| No log | 2.4124 | 234 | 0.5793 | 0.4555 | 0.5793 | 0.7611 |
| No log | 2.4330 | 236 | 0.5645 | 0.4287 | 0.5645 | 0.7513 |
| No log | 2.4536 | 238 | 0.6147 | 0.4391 | 0.6147 | 0.7840 |
| No log | 2.4742 | 240 | 0.6576 | 0.4230 | 0.6576 | 0.8109 |
| No log | 2.4948 | 242 | 0.5951 | 0.4427 | 0.5951 | 0.7714 |
| No log | 2.5155 | 244 | 0.5930 | 0.4914 | 0.5930 | 0.7701 |
| No log | 2.5361 | 246 | 0.6730 | 0.4684 | 0.6730 | 0.8204 |
| No log | 2.5567 | 248 | 0.6468 | 0.4964 | 0.6468 | 0.8042 |
| No log | 2.5773 | 250 | 0.5927 | 0.5092 | 0.5927 | 0.7699 |
| No log | 2.5979 | 252 | 0.7676 | 0.3204 | 0.7676 | 0.8761 |
| No log | 2.6186 | 254 | 0.7714 | 0.3432 | 0.7714 | 0.8783 |
| No log | 2.6392 | 256 | 0.6751 | 0.4179 | 0.6751 | 0.8216 |
| No log | 2.6598 | 258 | 0.6501 | 0.4556 | 0.6501 | 0.8063 |
| No log | 2.6804 | 260 | 0.5863 | 0.5234 | 0.5863 | 0.7657 |
| No log | 2.7010 | 262 | 0.5896 | 0.4660 | 0.5896 | 0.7679 |
| No log | 2.7216 | 264 | 0.5905 | 0.4660 | 0.5905 | 0.7684 |
| No log | 2.7423 | 266 | 0.5869 | 0.3100 | 0.5869 | 0.7661 |
| No log | 2.7629 | 268 | 0.5881 | 0.3837 | 0.5881 | 0.7669 |
| No log | 2.7835 | 270 | 0.6168 | 0.4660 | 0.6168 | 0.7853 |
| No log | 2.8041 | 272 | 0.6106 | 0.4114 | 0.6106 | 0.7814 |
| No log | 2.8247 | 274 | 0.6222 | 0.4322 | 0.6222 | 0.7888 |
| No log | 2.8454 | 276 | 0.6247 | 0.4322 | 0.6247 | 0.7904 |
| No log | 2.8660 | 278 | 0.6296 | 0.4114 | 0.6296 | 0.7935 |
| No log | 2.8866 | 280 | 0.6958 | 0.4212 | 0.6958 | 0.8341 |
| No log | 2.9072 | 282 | 0.8636 | 0.3538 | 0.8636 | 0.9293 |
| No log | 2.9278 | 284 | 0.9035 | 0.3417 | 0.9035 | 0.9505 |
| No log | 2.9485 | 286 | 0.9675 | 0.3359 | 0.9675 | 0.9836 |
| No log | 2.9691 | 288 | 0.8758 | 0.3359 | 0.8758 | 0.9358 |
| No log | 2.9897 | 290 | 0.8096 | 0.4404 | 0.8096 | 0.8998 |
| No log | 3.0103 | 292 | 0.7228 | 0.3843 | 0.7228 | 0.8502 |
| No log | 3.0309 | 294 | 0.6914 | 0.4091 | 0.6914 | 0.8315 |
| No log | 3.0515 | 296 | 0.6851 | 0.4036 | 0.6851 | 0.8277 |
| No log | 3.0722 | 298 | 0.7518 | 0.4190 | 0.7518 | 0.8670 |
| No log | 3.0928 | 300 | 0.8846 | 0.3204 | 0.8846 | 0.9406 |
| No log | 3.1134 | 302 | 0.8844 | 0.2830 | 0.8844 | 0.9404 |
| No log | 3.1340 | 304 | 0.7855 | 0.3630 | 0.7855 | 0.8863 |
| No log | 3.1546 | 306 | 0.6453 | 0.3945 | 0.6453 | 0.8033 |
| No log | 3.1753 | 308 | 0.6364 | 0.3781 | 0.6364 | 0.7977 |
| No log | 3.1959 | 310 | 0.6383 | 0.3675 | 0.6383 | 0.7989 |
| No log | 3.2165 | 312 | 0.7177 | 0.3444 | 0.7177 | 0.8472 |
| No log | 3.2371 | 314 | 0.7696 | 0.3637 | 0.7696 | 0.8772 |
| No log | 3.2577 | 316 | 0.6842 | 0.4100 | 0.6842 | 0.8272 |
| No log | 3.2784 | 318 | 0.6357 | 0.3964 | 0.6357 | 0.7973 |
| No log | 3.2990 | 320 | 0.6367 | 0.4762 | 0.6367 | 0.7979 |
| No log | 3.3196 | 322 | 0.6382 | 0.3945 | 0.6382 | 0.7989 |
| No log | 3.3402 | 324 | 0.6922 | 0.3615 | 0.6922 | 0.8320 |
| No log | 3.3608 | 326 | 0.6819 | 0.3060 | 0.6819 | 0.8258 |
| No log | 3.3814 | 328 | 0.6182 | 0.3649 | 0.6182 | 0.7863 |
| No log | 3.4021 | 330 | 0.5926 | 0.3781 | 0.5926 | 0.7698 |
| No log | 3.4227 | 332 | 0.5903 | 0.4077 | 0.5903 | 0.7683 |
| No log | 3.4433 | 334 | 0.5987 | 0.3945 | 0.5987 | 0.7738 |
| No log | 3.4639 | 336 | 0.6541 | 0.4020 | 0.6541 | 0.8088 |
| No log | 3.4845 | 338 | 0.7074 | 0.4294 | 0.7074 | 0.8411 |
| No log | 3.5052 | 340 | 0.6359 | 0.4020 | 0.6359 | 0.7974 |
| No log | 3.5258 | 342 | 0.6135 | 0.4337 | 0.6135 | 0.7833 |
| No log | 3.5464 | 344 | 0.6172 | 0.4697 | 0.6172 | 0.7856 |
| No log | 3.5670 | 346 | 0.6278 | 0.4876 | 0.6278 | 0.7923 |
| No log | 3.5876 | 348 | 0.6131 | 0.4505 | 0.6131 | 0.7830 |
| No log | 3.6082 | 350 | 0.6833 | 0.4020 | 0.6833 | 0.8266 |
| No log | 3.6289 | 352 | 0.9161 | 0.3324 | 0.9161 | 0.9571 |
| No log | 3.6495 | 354 | 1.0016 | 0.2824 | 1.0016 | 1.0008 |
| No log | 3.6701 | 356 | 0.9607 | 0.2613 | 0.9607 | 0.9802 |
| No log | 3.6907 | 358 | 0.7637 | 0.3843 | 0.7637 | 0.8739 |
| No log | 3.7113 | 360 | 0.6042 | 0.3702 | 0.6042 | 0.7773 |
| No log | 3.7320 | 362 | 0.6163 | 0.4486 | 0.6163 | 0.7850 |
| No log | 3.7526 | 364 | 0.5990 | 0.4101 | 0.5990 | 0.7739 |
| No log | 3.7732 | 366 | 0.6377 | 0.4206 | 0.6377 | 0.7986 |
| No log | 3.7938 | 368 | 0.8873 | 0.3403 | 0.8873 | 0.9420 |
| No log | 3.8144 | 370 | 1.0346 | 0.3399 | 1.0346 | 1.0172 |
| No log | 3.8351 | 372 | 0.9559 | 0.3501 | 0.9559 | 0.9777 |
| No log | 3.8557 | 374 | 0.7309 | 0.3544 | 0.7309 | 0.8549 |
| No log | 3.8763 | 376 | 0.6121 | 0.3474 | 0.6121 | 0.7824 |
| No log | 3.8969 | 378 | 0.6119 | 0.3454 | 0.6119 | 0.7823 |
| No log | 3.9175 | 380 | 0.6113 | 0.3183 | 0.6113 | 0.7819 |
| No log | 3.9381 | 382 | 0.6522 | 0.3341 | 0.6522 | 0.8076 |
| No log | 3.9588 | 384 | 0.7227 | 0.2817 | 0.7227 | 0.8501 |
| No log | 3.9794 | 386 | 0.7156 | 0.3737 | 0.7156 | 0.8459 |
| No log | 4.0 | 388 | 0.6949 | 0.4158 | 0.6949 | 0.8336 |
| No log | 4.0206 | 390 | 0.6294 | 0.3545 | 0.6294 | 0.7934 |
| No log | 4.0412 | 392 | 0.6007 | 0.3324 | 0.6007 | 0.7750 |
| No log | 4.0619 | 394 | 0.5946 | 0.4276 | 0.5946 | 0.7711 |
| No log | 4.0825 | 396 | 0.6063 | 0.3649 | 0.6063 | 0.7787 |
| No log | 4.1031 | 398 | 0.6617 | 0.3894 | 0.6617 | 0.8134 |
| No log | 4.1237 | 400 | 0.6900 | 0.4076 | 0.6900 | 0.8307 |
| No log | 4.1443 | 402 | 0.6723 | 0.4076 | 0.6723 | 0.8199 |
| No log | 4.1649 | 404 | 0.6272 | 0.4001 | 0.6272 | 0.7920 |
| No log | 4.1856 | 406 | 0.6120 | 0.4441 | 0.6120 | 0.7823 |
| No log | 4.2062 | 408 | 0.6130 | 0.4659 | 0.6130 | 0.7829 |
| No log | 4.2268 | 410 | 0.6378 | 0.4517 | 0.6378 | 0.7986 |
| No log | 4.2474 | 412 | 0.6321 | 0.4734 | 0.6321 | 0.7950 |
| No log | 4.2680 | 414 | 0.6175 | 0.3984 | 0.6175 | 0.7858 |
| No log | 4.2887 | 416 | 0.7276 | 0.4491 | 0.7276 | 0.8530 |
| No log | 4.3093 | 418 | 0.8278 | 0.3473 | 0.8278 | 0.9099 |
| No log | 4.3299 | 420 | 0.8214 | 0.3538 | 0.8214 | 0.9063 |
| No log | 4.3505 | 422 | 0.8310 | 0.3538 | 0.8310 | 0.9116 |
| No log | 4.3711 | 424 | 0.8344 | 0.3538 | 0.8344 | 0.9135 |
| No log | 4.3918 | 426 | 0.9034 | 0.3110 | 0.9034 | 0.9505 |
| No log | 4.4124 | 428 | 0.9032 | 0.3251 | 0.9032 | 0.9504 |
| No log | 4.4330 | 430 | 0.8245 | 0.3134 | 0.8245 | 0.9080 |
| No log | 4.4536 | 432 | 0.7398 | 0.3737 | 0.7398 | 0.8601 |
| No log | 4.4742 | 434 | 0.6623 | 0.3545 | 0.6623 | 0.8138 |
| No log | 4.4948 | 436 | 0.6576 | 0.3545 | 0.6576 | 0.8109 |
| No log | 4.5155 | 438 | 0.6699 | 0.3518 | 0.6699 | 0.8185 |
| No log | 4.5361 | 440 | 0.7514 | 0.3972 | 0.7514 | 0.8668 |
| No log | 4.5567 | 442 | 0.7734 | 0.3894 | 0.7734 | 0.8794 |
| No log | 4.5773 | 444 | 0.8181 | 0.4230 | 0.8181 | 0.9045 |
| No log | 4.5979 | 446 | 0.8129 | 0.4387 | 0.8129 | 0.9016 |
| No log | 4.6186 | 448 | 0.7579 | 0.4307 | 0.7579 | 0.8706 |
| No log | 4.6392 | 450 | 0.6667 | 0.3238 | 0.6667 | 0.8165 |
| No log | 4.6598 | 452 | 0.6201 | 0.3701 | 0.6201 | 0.7875 |
| No log | 4.6804 | 454 | 0.6215 | 0.3701 | 0.6215 | 0.7884 |
| No log | 4.7010 | 456 | 0.6331 | 0.3267 | 0.6331 | 0.7957 |
| No log | 4.7216 | 458 | 0.6802 | 0.3518 | 0.6802 | 0.8248 |
| No log | 4.7423 | 460 | 0.7853 | 0.4624 | 0.7853 | 0.8862 |
| No log | 4.7629 | 462 | 0.8497 | 0.3846 | 0.8497 | 0.9218 |
| No log | 4.7835 | 464 | 0.7931 | 0.4624 | 0.7931 | 0.8906 |
| No log | 4.8041 | 466 | 0.6924 | 0.3814 | 0.6924 | 0.8321 |
| No log | 4.8247 | 468 | 0.6362 | 0.4100 | 0.6362 | 0.7976 |
| No log | 4.8454 | 470 | 0.6174 | 0.4100 | 0.6174 | 0.7858 |
| No log | 4.8660 | 472 | 0.5892 | 0.4514 | 0.5892 | 0.7676 |
| No log | 4.8866 | 474 | 0.5826 | 0.4576 | 0.5826 | 0.7633 |
| No log | 4.9072 | 476 | 0.6230 | 0.5385 | 0.6230 | 0.7893 |
| No log | 4.9278 | 478 | 0.6714 | 0.5345 | 0.6714 | 0.8194 |
| No log | 4.9485 | 480 | 0.6151 | 0.5158 | 0.6151 | 0.7843 |
| No log | 4.9691 | 482 | 0.5515 | 0.4591 | 0.5515 | 0.7426 |
| No log | 4.9897 | 484 | 0.5437 | 0.4547 | 0.5437 | 0.7374 |
| No log | 5.0103 | 486 | 0.5496 | 0.4634 | 0.5496 | 0.7414 |
| No log | 5.0309 | 488 | 0.5578 | 0.4613 | 0.5578 | 0.7469 |
| No log | 5.0515 | 490 | 0.5525 | 0.4505 | 0.5525 | 0.7433 |
| No log | 5.0722 | 492 | 0.5498 | 0.4991 | 0.5498 | 0.7415 |
| No log | 5.0928 | 494 | 0.5745 | 0.4576 | 0.5745 | 0.7580 |
| No log | 5.1134 | 496 | 0.6153 | 0.4534 | 0.6153 | 0.7844 |
| No log | 5.1340 | 498 | 0.6599 | 0.5219 | 0.6599 | 0.8124 |
| 0.31 | 5.1546 | 500 | 0.6303 | 0.5560 | 0.6303 | 0.7939 |
| 0.31 | 5.1753 | 502 | 0.6293 | 0.5560 | 0.6293 | 0.7933 |
| 0.31 | 5.1959 | 504 | 0.5941 | 0.4660 | 0.5941 | 0.7708 |
| 0.31 | 5.2165 | 506 | 0.5772 | 0.4419 | 0.5772 | 0.7597 |
| 0.31 | 5.2371 | 508 | 0.5577 | 0.4505 | 0.5577 | 0.7468 |
| 0.31 | 5.2577 | 510 | 0.5532 | 0.4505 | 0.5532 | 0.7438 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k19_task7_organization
Base model
aubmindlab/bert-base-arabertv02