ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k18_task1_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: 0.6397
- Qwk: 0.7613
- Mse: 0.6397
- Rmse: 0.7998
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 | 0.0148 | 2 | 6.7271 | 0.0239 | 6.7271 | 2.5937 |
| No log | 0.0296 | 4 | 4.3700 | 0.0389 | 4.3700 | 2.0905 |
| No log | 0.0444 | 6 | 2.8876 | 0.0755 | 2.8876 | 1.6993 |
| No log | 0.0593 | 8 | 2.1178 | 0.1765 | 2.1178 | 1.4553 |
| No log | 0.0741 | 10 | 1.7177 | 0.1296 | 1.7177 | 1.3106 |
| No log | 0.0889 | 12 | 1.6225 | 0.2143 | 1.6225 | 1.2738 |
| No log | 0.1037 | 14 | 1.6543 | 0.1802 | 1.6543 | 1.2862 |
| No log | 0.1185 | 16 | 1.6449 | 0.3077 | 1.6449 | 1.2825 |
| No log | 0.1333 | 18 | 1.6746 | 0.1651 | 1.6746 | 1.2941 |
| No log | 0.1481 | 20 | 2.0586 | 0.2000 | 2.0586 | 1.4348 |
| No log | 0.1630 | 22 | 2.5926 | 0.0541 | 2.5926 | 1.6102 |
| No log | 0.1778 | 24 | 2.0437 | 0.2014 | 2.0437 | 1.4296 |
| No log | 0.1926 | 26 | 1.1723 | 0.5079 | 1.1723 | 1.0827 |
| No log | 0.2074 | 28 | 1.2314 | 0.4677 | 1.2314 | 1.1097 |
| No log | 0.2222 | 30 | 1.0487 | 0.5846 | 1.0487 | 1.0241 |
| No log | 0.2370 | 32 | 0.8613 | 0.6043 | 0.8613 | 0.9281 |
| No log | 0.2519 | 34 | 1.8842 | 0.3355 | 1.8842 | 1.3727 |
| No log | 0.2667 | 36 | 1.8586 | 0.3694 | 1.8586 | 1.3633 |
| No log | 0.2815 | 38 | 1.1714 | 0.5775 | 1.1714 | 1.0823 |
| No log | 0.2963 | 40 | 0.7191 | 0.7183 | 0.7191 | 0.8480 |
| No log | 0.3111 | 42 | 0.9573 | 0.625 | 0.9573 | 0.9784 |
| No log | 0.3259 | 44 | 0.8494 | 0.6939 | 0.8494 | 0.9216 |
| No log | 0.3407 | 46 | 0.6915 | 0.7285 | 0.6915 | 0.8315 |
| No log | 0.3556 | 48 | 1.5092 | 0.5595 | 1.5092 | 1.2285 |
| No log | 0.3704 | 50 | 2.1209 | 0.4278 | 2.1209 | 1.4563 |
| No log | 0.3852 | 52 | 1.6855 | 0.4824 | 1.6855 | 1.2983 |
| No log | 0.4 | 54 | 0.9614 | 0.6753 | 0.9614 | 0.9805 |
| No log | 0.4148 | 56 | 0.7874 | 0.7034 | 0.7874 | 0.8873 |
| No log | 0.4296 | 58 | 0.9232 | 0.6294 | 0.9232 | 0.9608 |
| No log | 0.4444 | 60 | 1.1422 | 0.5547 | 1.1422 | 1.0687 |
| No log | 0.4593 | 62 | 1.1119 | 0.5882 | 1.1119 | 1.0545 |
| No log | 0.4741 | 64 | 0.8764 | 0.7 | 0.8764 | 0.9361 |
| No log | 0.4889 | 66 | 0.8434 | 0.6713 | 0.8434 | 0.9183 |
| No log | 0.5037 | 68 | 0.8222 | 0.6849 | 0.8222 | 0.9068 |
| No log | 0.5185 | 70 | 0.7514 | 0.7034 | 0.7514 | 0.8668 |
| No log | 0.5333 | 72 | 0.7156 | 0.7273 | 0.7156 | 0.8460 |
| No log | 0.5481 | 74 | 0.7439 | 0.7083 | 0.7439 | 0.8625 |
| No log | 0.5630 | 76 | 0.7574 | 0.7133 | 0.7574 | 0.8703 |
| No log | 0.5778 | 78 | 0.8319 | 0.7020 | 0.8319 | 0.9121 |
| No log | 0.5926 | 80 | 0.9286 | 0.7051 | 0.9286 | 0.9636 |
| No log | 0.6074 | 82 | 0.7339 | 0.7805 | 0.7339 | 0.8567 |
| No log | 0.6222 | 84 | 0.6234 | 0.8045 | 0.6234 | 0.7896 |
| No log | 0.6370 | 86 | 0.6521 | 0.8223 | 0.6521 | 0.8075 |
| No log | 0.6519 | 88 | 0.7236 | 0.8043 | 0.7236 | 0.8506 |
| No log | 0.6667 | 90 | 0.7629 | 0.7425 | 0.7629 | 0.8735 |
| No log | 0.6815 | 92 | 0.6986 | 0.7564 | 0.6986 | 0.8358 |
| No log | 0.6963 | 94 | 0.6664 | 0.7517 | 0.6664 | 0.8163 |
| No log | 0.7111 | 96 | 0.7718 | 0.7042 | 0.7718 | 0.8785 |
| No log | 0.7259 | 98 | 0.8112 | 0.7042 | 0.8112 | 0.9006 |
| No log | 0.7407 | 100 | 0.7459 | 0.7234 | 0.7459 | 0.8636 |
| No log | 0.7556 | 102 | 0.7174 | 0.7042 | 0.7174 | 0.8470 |
| No log | 0.7704 | 104 | 0.7243 | 0.6933 | 0.7243 | 0.8511 |
| No log | 0.7852 | 106 | 0.7658 | 0.7152 | 0.7658 | 0.8751 |
| No log | 0.8 | 108 | 0.6699 | 0.7355 | 0.6699 | 0.8185 |
| No log | 0.8148 | 110 | 0.6290 | 0.7871 | 0.6290 | 0.7931 |
| No log | 0.8296 | 112 | 0.6897 | 0.7843 | 0.6897 | 0.8305 |
| No log | 0.8444 | 114 | 0.6845 | 0.7333 | 0.6845 | 0.8273 |
| No log | 0.8593 | 116 | 0.6865 | 0.7451 | 0.6865 | 0.8285 |
| No log | 0.8741 | 118 | 0.6919 | 0.7342 | 0.6919 | 0.8318 |
| No log | 0.8889 | 120 | 0.8047 | 0.7125 | 0.8047 | 0.8971 |
| No log | 0.9037 | 122 | 0.7048 | 0.7683 | 0.7048 | 0.8395 |
| No log | 0.9185 | 124 | 0.6062 | 0.7955 | 0.6062 | 0.7786 |
| No log | 0.9333 | 126 | 0.6162 | 0.8065 | 0.6162 | 0.7850 |
| No log | 0.9481 | 128 | 0.6352 | 0.8466 | 0.6352 | 0.7970 |
| No log | 0.9630 | 130 | 0.6890 | 0.7717 | 0.6890 | 0.8301 |
| No log | 0.9778 | 132 | 0.6442 | 0.7901 | 0.6442 | 0.8026 |
| No log | 0.9926 | 134 | 0.6979 | 0.7297 | 0.6979 | 0.8354 |
| No log | 1.0074 | 136 | 0.8125 | 0.7285 | 0.8125 | 0.9014 |
| No log | 1.0222 | 138 | 0.7418 | 0.72 | 0.7418 | 0.8613 |
| No log | 1.0370 | 140 | 0.7100 | 0.7075 | 0.7100 | 0.8426 |
| No log | 1.0519 | 142 | 0.9265 | 0.7101 | 0.9265 | 0.9625 |
| No log | 1.0667 | 144 | 1.0619 | 0.6667 | 1.0619 | 1.0305 |
| No log | 1.0815 | 146 | 0.9444 | 0.6818 | 0.9444 | 0.9718 |
| No log | 1.0963 | 148 | 0.6877 | 0.7826 | 0.6877 | 0.8293 |
| No log | 1.1111 | 150 | 0.7174 | 0.7673 | 0.7174 | 0.8470 |
| No log | 1.1259 | 152 | 0.8430 | 0.7333 | 0.8430 | 0.9181 |
| No log | 1.1407 | 154 | 0.7996 | 0.7248 | 0.7996 | 0.8942 |
| No log | 1.1556 | 156 | 0.6841 | 0.7582 | 0.6841 | 0.8271 |
| No log | 1.1704 | 158 | 0.6531 | 0.7613 | 0.6531 | 0.8081 |
| No log | 1.1852 | 160 | 0.6478 | 0.7925 | 0.6478 | 0.8048 |
| No log | 1.2 | 162 | 0.6765 | 0.7853 | 0.6765 | 0.8225 |
| No log | 1.2148 | 164 | 0.6927 | 0.7805 | 0.6927 | 0.8323 |
| No log | 1.2296 | 166 | 0.5844 | 0.8409 | 0.5844 | 0.7645 |
| No log | 1.2444 | 168 | 0.6290 | 0.7760 | 0.6290 | 0.7931 |
| No log | 1.2593 | 170 | 0.5714 | 0.8182 | 0.5714 | 0.7559 |
| No log | 1.2741 | 172 | 0.5117 | 0.8466 | 0.5117 | 0.7153 |
| No log | 1.2889 | 174 | 0.7114 | 0.7375 | 0.7114 | 0.8435 |
| No log | 1.3037 | 176 | 0.6649 | 0.7578 | 0.6649 | 0.8154 |
| No log | 1.3185 | 178 | 0.5821 | 0.8182 | 0.5821 | 0.7629 |
| No log | 1.3333 | 180 | 0.7983 | 0.7089 | 0.7983 | 0.8935 |
| No log | 1.3481 | 182 | 0.9079 | 0.6752 | 0.9079 | 0.9528 |
| No log | 1.3630 | 184 | 0.8708 | 0.6752 | 0.8708 | 0.9332 |
| No log | 1.3778 | 186 | 0.7324 | 0.6962 | 0.7324 | 0.8558 |
| No log | 1.3926 | 188 | 0.6438 | 0.7771 | 0.6438 | 0.8023 |
| No log | 1.4074 | 190 | 0.6281 | 0.7771 | 0.6281 | 0.7925 |
| No log | 1.4222 | 192 | 0.6450 | 0.7613 | 0.6450 | 0.8031 |
| No log | 1.4370 | 194 | 0.7393 | 0.6968 | 0.7393 | 0.8598 |
| No log | 1.4519 | 196 | 0.8633 | 0.6301 | 0.8633 | 0.9291 |
| No log | 1.4667 | 198 | 0.8297 | 0.6906 | 0.8297 | 0.9109 |
| No log | 1.4815 | 200 | 0.7589 | 0.7206 | 0.7589 | 0.8712 |
| No log | 1.4963 | 202 | 0.7274 | 0.7413 | 0.7274 | 0.8529 |
| No log | 1.5111 | 204 | 0.6620 | 0.7755 | 0.6620 | 0.8136 |
| No log | 1.5259 | 206 | 0.6106 | 0.8079 | 0.6106 | 0.7814 |
| No log | 1.5407 | 208 | 0.6768 | 0.7097 | 0.6768 | 0.8227 |
| No log | 1.5556 | 210 | 0.6674 | 0.7308 | 0.6674 | 0.8169 |
| No log | 1.5704 | 212 | 0.5848 | 0.8075 | 0.5848 | 0.7647 |
| No log | 1.5852 | 214 | 0.5816 | 0.7950 | 0.5816 | 0.7627 |
| No log | 1.6 | 216 | 0.6266 | 0.8 | 0.6266 | 0.7916 |
| No log | 1.6148 | 218 | 0.6860 | 0.7821 | 0.6860 | 0.8283 |
| No log | 1.6296 | 220 | 0.6666 | 0.7925 | 0.6666 | 0.8165 |
| No log | 1.6444 | 222 | 0.7043 | 0.7712 | 0.7043 | 0.8392 |
| No log | 1.6593 | 224 | 0.8172 | 0.7059 | 0.8172 | 0.9040 |
| No log | 1.6741 | 226 | 0.8394 | 0.7059 | 0.8394 | 0.9162 |
| No log | 1.6889 | 228 | 0.7918 | 0.7134 | 0.7918 | 0.8899 |
| No log | 1.7037 | 230 | 0.8368 | 0.7368 | 0.8368 | 0.9148 |
| No log | 1.7185 | 232 | 0.7968 | 0.7746 | 0.7968 | 0.8926 |
| No log | 1.7333 | 234 | 0.7093 | 0.7590 | 0.7093 | 0.8422 |
| No log | 1.7481 | 236 | 0.6561 | 0.7771 | 0.6561 | 0.8100 |
| No log | 1.7630 | 238 | 0.6533 | 0.7421 | 0.6533 | 0.8083 |
| No log | 1.7778 | 240 | 0.7167 | 0.7308 | 0.7167 | 0.8466 |
| No log | 1.7926 | 242 | 0.7556 | 0.7368 | 0.7556 | 0.8692 |
| No log | 1.8074 | 244 | 0.7243 | 0.7671 | 0.7243 | 0.8510 |
| No log | 1.8222 | 246 | 0.7160 | 0.7413 | 0.7160 | 0.8462 |
| No log | 1.8370 | 248 | 0.6262 | 0.7671 | 0.6262 | 0.7914 |
| No log | 1.8519 | 250 | 0.5566 | 0.8289 | 0.5566 | 0.7461 |
| No log | 1.8667 | 252 | 0.4925 | 0.825 | 0.4925 | 0.7018 |
| No log | 1.8815 | 254 | 0.4741 | 0.8521 | 0.4741 | 0.6886 |
| No log | 1.8963 | 256 | 0.4810 | 0.8344 | 0.4810 | 0.6936 |
| No log | 1.9111 | 258 | 0.5341 | 0.825 | 0.5341 | 0.7308 |
| No log | 1.9259 | 260 | 0.6274 | 0.8077 | 0.6274 | 0.7921 |
| No log | 1.9407 | 262 | 0.7459 | 0.7362 | 0.7459 | 0.8637 |
| No log | 1.9556 | 264 | 0.7008 | 0.7640 | 0.7008 | 0.8371 |
| No log | 1.9704 | 266 | 0.6029 | 0.7977 | 0.6029 | 0.7765 |
| No log | 1.9852 | 268 | 0.5661 | 0.7907 | 0.5661 | 0.7524 |
| No log | 2.0 | 270 | 0.6150 | 0.7607 | 0.6150 | 0.7842 |
| No log | 2.0148 | 272 | 0.5676 | 0.8125 | 0.5676 | 0.7534 |
| No log | 2.0296 | 274 | 0.5894 | 0.8129 | 0.5894 | 0.7677 |
| No log | 2.0444 | 276 | 0.6339 | 0.7763 | 0.6339 | 0.7962 |
| No log | 2.0593 | 278 | 0.6512 | 0.7919 | 0.6512 | 0.8070 |
| No log | 2.0741 | 280 | 0.7065 | 0.7260 | 0.7065 | 0.8405 |
| No log | 2.0889 | 282 | 0.6870 | 0.6887 | 0.6870 | 0.8288 |
| No log | 2.1037 | 284 | 0.6278 | 0.7485 | 0.6278 | 0.7924 |
| No log | 2.1185 | 286 | 0.5644 | 0.8471 | 0.5644 | 0.7513 |
| No log | 2.1333 | 288 | 0.5645 | 0.8284 | 0.5645 | 0.7513 |
| No log | 2.1481 | 290 | 0.5922 | 0.7927 | 0.5922 | 0.7695 |
| No log | 2.1630 | 292 | 0.6022 | 0.8208 | 0.6022 | 0.7760 |
| No log | 2.1778 | 294 | 0.7924 | 0.7459 | 0.7924 | 0.8902 |
| No log | 2.1926 | 296 | 1.1670 | 0.6413 | 1.1670 | 1.0803 |
| No log | 2.2074 | 298 | 1.2549 | 0.6111 | 1.2549 | 1.1202 |
| No log | 2.2222 | 300 | 1.0403 | 0.6456 | 1.0403 | 1.0200 |
| No log | 2.2370 | 302 | 0.8172 | 0.7 | 0.8172 | 0.9040 |
| No log | 2.2519 | 304 | 0.6761 | 0.7808 | 0.6761 | 0.8223 |
| No log | 2.2667 | 306 | 0.5961 | 0.8289 | 0.5961 | 0.7721 |
| No log | 2.2815 | 308 | 0.5588 | 0.8235 | 0.5588 | 0.7475 |
| No log | 2.2963 | 310 | 0.5766 | 0.7895 | 0.5766 | 0.7594 |
| No log | 2.3111 | 312 | 0.6232 | 0.7451 | 0.6232 | 0.7895 |
| No log | 2.3259 | 314 | 0.5618 | 0.7895 | 0.5618 | 0.7496 |
| No log | 2.3407 | 316 | 0.4722 | 0.8182 | 0.4722 | 0.6871 |
| No log | 2.3556 | 318 | 0.4370 | 0.8442 | 0.4370 | 0.6611 |
| No log | 2.3704 | 320 | 0.4742 | 0.8387 | 0.4742 | 0.6886 |
| No log | 2.3852 | 322 | 0.4743 | 0.8205 | 0.4743 | 0.6887 |
| No log | 2.4 | 324 | 0.4427 | 0.8535 | 0.4427 | 0.6653 |
| No log | 2.4148 | 326 | 0.4790 | 0.8125 | 0.4790 | 0.6921 |
| No log | 2.4296 | 328 | 0.5525 | 0.8050 | 0.5525 | 0.7433 |
| No log | 2.4444 | 330 | 0.5758 | 0.7975 | 0.5758 | 0.7588 |
| No log | 2.4593 | 332 | 0.5753 | 0.7895 | 0.5753 | 0.7585 |
| No log | 2.4741 | 334 | 0.5578 | 0.8133 | 0.5578 | 0.7469 |
| No log | 2.4889 | 336 | 0.5566 | 0.8133 | 0.5566 | 0.7461 |
| No log | 2.5037 | 338 | 0.5758 | 0.7975 | 0.5758 | 0.7588 |
| No log | 2.5185 | 340 | 0.6447 | 0.7590 | 0.6447 | 0.8029 |
| No log | 2.5333 | 342 | 0.6335 | 0.775 | 0.6335 | 0.7959 |
| No log | 2.5481 | 344 | 0.5931 | 0.7733 | 0.5931 | 0.7701 |
| No log | 2.5630 | 346 | 0.6375 | 0.75 | 0.6375 | 0.7984 |
| No log | 2.5778 | 348 | 0.6710 | 0.7448 | 0.6710 | 0.8192 |
| No log | 2.5926 | 350 | 0.7320 | 0.7133 | 0.7320 | 0.8556 |
| No log | 2.6074 | 352 | 0.7241 | 0.7133 | 0.7241 | 0.8510 |
| No log | 2.6222 | 354 | 0.6474 | 0.75 | 0.6474 | 0.8046 |
| No log | 2.6370 | 356 | 0.5774 | 0.8163 | 0.5774 | 0.7599 |
| No log | 2.6519 | 358 | 0.5735 | 0.8182 | 0.5735 | 0.7573 |
| No log | 2.6667 | 360 | 0.5780 | 0.7974 | 0.5780 | 0.7603 |
| No log | 2.6815 | 362 | 0.5369 | 0.8333 | 0.5369 | 0.7328 |
| No log | 2.6963 | 364 | 0.5480 | 0.8024 | 0.5480 | 0.7402 |
| No log | 2.7111 | 366 | 0.6246 | 0.8108 | 0.6246 | 0.7903 |
| No log | 2.7259 | 368 | 0.7953 | 0.7473 | 0.7953 | 0.8918 |
| No log | 2.7407 | 370 | 0.8965 | 0.6923 | 0.8965 | 0.9469 |
| No log | 2.7556 | 372 | 0.8257 | 0.6905 | 0.8257 | 0.9087 |
| No log | 2.7704 | 374 | 0.6877 | 0.7361 | 0.6877 | 0.8293 |
| No log | 2.7852 | 376 | 0.6135 | 0.7919 | 0.6135 | 0.7832 |
| No log | 2.8 | 378 | 0.6597 | 0.7724 | 0.6597 | 0.8122 |
| No log | 2.8148 | 380 | 0.6284 | 0.8027 | 0.6284 | 0.7927 |
| No log | 2.8296 | 382 | 0.5764 | 0.8 | 0.5764 | 0.7592 |
| No log | 2.8444 | 384 | 0.7225 | 0.7582 | 0.7225 | 0.8500 |
| No log | 2.8593 | 386 | 0.8982 | 0.7204 | 0.8982 | 0.9477 |
| No log | 2.8741 | 388 | 0.8896 | 0.7213 | 0.8896 | 0.9432 |
| No log | 2.8889 | 390 | 0.8029 | 0.6946 | 0.8029 | 0.8960 |
| No log | 2.9037 | 392 | 0.7336 | 0.7170 | 0.7336 | 0.8565 |
| No log | 2.9185 | 394 | 0.6803 | 0.7785 | 0.6803 | 0.8248 |
| No log | 2.9333 | 396 | 0.6507 | 0.8158 | 0.6507 | 0.8066 |
| No log | 2.9481 | 398 | 0.6477 | 0.8105 | 0.6477 | 0.8048 |
| No log | 2.9630 | 400 | 0.6384 | 0.8158 | 0.6384 | 0.7990 |
| No log | 2.9778 | 402 | 0.6309 | 0.8054 | 0.6309 | 0.7943 |
| No log | 2.9926 | 404 | 0.6892 | 0.7436 | 0.6892 | 0.8302 |
| No log | 3.0074 | 406 | 0.7073 | 0.7746 | 0.7073 | 0.8410 |
| No log | 3.0222 | 408 | 0.6234 | 0.8182 | 0.6234 | 0.7896 |
| No log | 3.0370 | 410 | 0.5166 | 0.8706 | 0.5166 | 0.7188 |
| No log | 3.0519 | 412 | 0.4806 | 0.8302 | 0.4806 | 0.6933 |
| No log | 3.0667 | 414 | 0.5060 | 0.8333 | 0.5060 | 0.7113 |
| No log | 3.0815 | 416 | 0.5515 | 0.8212 | 0.5515 | 0.7426 |
| No log | 3.0963 | 418 | 0.5906 | 0.8108 | 0.5906 | 0.7685 |
| No log | 3.1111 | 420 | 0.6545 | 0.7832 | 0.6545 | 0.8090 |
| No log | 3.1259 | 422 | 0.7358 | 0.7059 | 0.7358 | 0.8578 |
| No log | 3.1407 | 424 | 0.7440 | 0.7101 | 0.7440 | 0.8626 |
| No log | 3.1556 | 426 | 0.7074 | 0.7133 | 0.7074 | 0.8410 |
| No log | 3.1704 | 428 | 0.5932 | 0.8054 | 0.5932 | 0.7702 |
| No log | 3.1852 | 430 | 0.5112 | 0.8312 | 0.5112 | 0.7150 |
| No log | 3.2 | 432 | 0.4743 | 0.8366 | 0.4743 | 0.6887 |
| No log | 3.2148 | 434 | 0.4704 | 0.8312 | 0.4704 | 0.6858 |
| No log | 3.2296 | 436 | 0.4833 | 0.8312 | 0.4833 | 0.6952 |
| No log | 3.2444 | 438 | 0.5015 | 0.8182 | 0.5015 | 0.7082 |
| No log | 3.2593 | 440 | 0.5255 | 0.8235 | 0.5255 | 0.7249 |
| No log | 3.2741 | 442 | 0.5355 | 0.8354 | 0.5355 | 0.7317 |
| No log | 3.2889 | 444 | 0.5441 | 0.8302 | 0.5441 | 0.7376 |
| No log | 3.3037 | 446 | 0.5604 | 0.8 | 0.5604 | 0.7486 |
| No log | 3.3185 | 448 | 0.5530 | 0.8302 | 0.5530 | 0.7437 |
| No log | 3.3333 | 450 | 0.5665 | 0.8077 | 0.5665 | 0.7527 |
| No log | 3.3481 | 452 | 0.6539 | 0.7861 | 0.6539 | 0.8086 |
| No log | 3.3630 | 454 | 0.7594 | 0.7528 | 0.7594 | 0.8714 |
| No log | 3.3778 | 456 | 0.7986 | 0.7011 | 0.7986 | 0.8937 |
| No log | 3.3926 | 458 | 0.7500 | 0.7543 | 0.7500 | 0.8660 |
| No log | 3.4074 | 460 | 0.6367 | 0.7821 | 0.6367 | 0.7979 |
| No log | 3.4222 | 462 | 0.6164 | 0.7643 | 0.6164 | 0.7851 |
| No log | 3.4370 | 464 | 0.5460 | 0.8125 | 0.5460 | 0.7389 |
| No log | 3.4519 | 466 | 0.5014 | 0.8176 | 0.5014 | 0.7081 |
| No log | 3.4667 | 468 | 0.4693 | 0.8395 | 0.4693 | 0.6851 |
| No log | 3.4815 | 470 | 0.4673 | 0.8452 | 0.4673 | 0.6836 |
| No log | 3.4963 | 472 | 0.4907 | 0.8452 | 0.4907 | 0.7005 |
| No log | 3.5111 | 474 | 0.4742 | 0.8571 | 0.4742 | 0.6887 |
| No log | 3.5259 | 476 | 0.5073 | 0.8077 | 0.5073 | 0.7122 |
| No log | 3.5407 | 478 | 0.5788 | 0.7871 | 0.5788 | 0.7608 |
| No log | 3.5556 | 480 | 0.6774 | 0.7632 | 0.6774 | 0.8231 |
| No log | 3.5704 | 482 | 0.7130 | 0.7586 | 0.7130 | 0.8444 |
| No log | 3.5852 | 484 | 0.7270 | 0.7465 | 0.7270 | 0.8527 |
| No log | 3.6 | 486 | 0.6863 | 0.7619 | 0.6863 | 0.8284 |
| No log | 3.6148 | 488 | 0.6400 | 0.7561 | 0.6400 | 0.8000 |
| No log | 3.6296 | 490 | 0.6383 | 0.7765 | 0.6383 | 0.7989 |
| No log | 3.6444 | 492 | 0.5824 | 0.7805 | 0.5824 | 0.7632 |
| No log | 3.6593 | 494 | 0.5378 | 0.7792 | 0.5378 | 0.7333 |
| No log | 3.6741 | 496 | 0.5499 | 0.8077 | 0.5499 | 0.7415 |
| No log | 3.6889 | 498 | 0.5429 | 0.8077 | 0.5429 | 0.7368 |
| 0.4397 | 3.7037 | 500 | 0.5257 | 0.7871 | 0.5257 | 0.7251 |
| 0.4397 | 3.7185 | 502 | 0.5494 | 0.7922 | 0.5494 | 0.7412 |
| 0.4397 | 3.7333 | 504 | 0.5774 | 0.7843 | 0.5774 | 0.7599 |
| 0.4397 | 3.7481 | 506 | 0.6895 | 0.75 | 0.6895 | 0.8304 |
| 0.4397 | 3.7630 | 508 | 0.7472 | 0.7172 | 0.7472 | 0.8644 |
| 0.4397 | 3.7778 | 510 | 0.7127 | 0.7123 | 0.7127 | 0.8442 |
| 0.4397 | 3.7926 | 512 | 0.6397 | 0.7613 | 0.6397 | 0.7998 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k18_task1_organization
Base model
aubmindlab/bert-base-arabertv02