ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k10_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: 0.6081
- Qwk: 0.7559
- Mse: 0.6081
- Rmse: 0.7798
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0345 | 2 | 5.2243 | -0.0166 | 5.2243 | 2.2857 |
| No log | 0.0690 | 4 | 3.1087 | 0.0714 | 3.1087 | 1.7631 |
| No log | 0.1034 | 6 | 1.8929 | 0.1021 | 1.8929 | 1.3758 |
| No log | 0.1379 | 8 | 1.3782 | 0.1431 | 1.3782 | 1.1740 |
| No log | 0.1724 | 10 | 1.1824 | 0.2329 | 1.1824 | 1.0874 |
| No log | 0.2069 | 12 | 1.0824 | 0.2921 | 1.0824 | 1.0404 |
| No log | 0.2414 | 14 | 1.5608 | 0.1432 | 1.5608 | 1.2493 |
| No log | 0.2759 | 16 | 2.0265 | 0.1455 | 2.0265 | 1.4236 |
| No log | 0.3103 | 18 | 1.5728 | 0.0704 | 1.5728 | 1.2541 |
| No log | 0.3448 | 20 | 1.0859 | 0.2833 | 1.0859 | 1.0421 |
| No log | 0.3793 | 22 | 1.1702 | 0.1915 | 1.1702 | 1.0818 |
| No log | 0.4138 | 24 | 1.1548 | 0.2255 | 1.1548 | 1.0746 |
| No log | 0.4483 | 26 | 1.0662 | 0.2783 | 1.0662 | 1.0326 |
| No log | 0.4828 | 28 | 1.2632 | 0.2280 | 1.2632 | 1.1239 |
| No log | 0.5172 | 30 | 1.7071 | 0.1602 | 1.7071 | 1.3066 |
| No log | 0.5517 | 32 | 1.8158 | 0.1990 | 1.8158 | 1.3475 |
| No log | 0.5862 | 34 | 1.6274 | 0.2250 | 1.6274 | 1.2757 |
| No log | 0.6207 | 36 | 1.3798 | 0.3349 | 1.3798 | 1.1746 |
| No log | 0.6552 | 38 | 0.8657 | 0.5369 | 0.8657 | 0.9304 |
| No log | 0.6897 | 40 | 0.7015 | 0.6024 | 0.7015 | 0.8376 |
| No log | 0.7241 | 42 | 0.6688 | 0.6228 | 0.6688 | 0.8178 |
| No log | 0.7586 | 44 | 0.6787 | 0.6252 | 0.6787 | 0.8238 |
| No log | 0.7931 | 46 | 1.0722 | 0.4730 | 1.0722 | 1.0355 |
| No log | 0.8276 | 48 | 1.4155 | 0.4399 | 1.4155 | 1.1897 |
| No log | 0.8621 | 50 | 1.1514 | 0.4864 | 1.1514 | 1.0730 |
| No log | 0.8966 | 52 | 0.9581 | 0.6272 | 0.9581 | 0.9788 |
| No log | 0.9310 | 54 | 0.7696 | 0.6679 | 0.7696 | 0.8772 |
| No log | 0.9655 | 56 | 0.7401 | 0.6817 | 0.7401 | 0.8603 |
| No log | 1.0 | 58 | 1.0447 | 0.6072 | 1.0447 | 1.0221 |
| No log | 1.0345 | 60 | 1.2170 | 0.5331 | 1.2170 | 1.1032 |
| No log | 1.0690 | 62 | 0.9243 | 0.6367 | 0.9243 | 0.9614 |
| No log | 1.1034 | 64 | 0.6123 | 0.6862 | 0.6123 | 0.7825 |
| No log | 1.1379 | 66 | 0.7894 | 0.5308 | 0.7894 | 0.8885 |
| No log | 1.1724 | 68 | 0.9075 | 0.5275 | 0.9075 | 0.9526 |
| No log | 1.2069 | 70 | 0.7774 | 0.6089 | 0.7774 | 0.8817 |
| No log | 1.2414 | 72 | 0.7208 | 0.6496 | 0.7208 | 0.8490 |
| No log | 1.2759 | 74 | 0.7781 | 0.6785 | 0.7781 | 0.8821 |
| No log | 1.3103 | 76 | 0.7804 | 0.6943 | 0.7804 | 0.8834 |
| No log | 1.3448 | 78 | 0.7241 | 0.7331 | 0.7241 | 0.8509 |
| No log | 1.3793 | 80 | 0.6809 | 0.7502 | 0.6809 | 0.8252 |
| No log | 1.4138 | 82 | 0.7013 | 0.7273 | 0.7013 | 0.8374 |
| No log | 1.4483 | 84 | 0.8544 | 0.6572 | 0.8544 | 0.9243 |
| No log | 1.4828 | 86 | 0.8439 | 0.6331 | 0.8439 | 0.9186 |
| No log | 1.5172 | 88 | 0.6614 | 0.7292 | 0.6614 | 0.8132 |
| No log | 1.5517 | 90 | 0.5454 | 0.7740 | 0.5454 | 0.7385 |
| No log | 1.5862 | 92 | 0.6367 | 0.7350 | 0.6367 | 0.7979 |
| No log | 1.6207 | 94 | 0.6624 | 0.7455 | 0.6624 | 0.8139 |
| No log | 1.6552 | 96 | 0.5679 | 0.7390 | 0.5679 | 0.7536 |
| No log | 1.6897 | 98 | 0.5861 | 0.7180 | 0.5861 | 0.7656 |
| No log | 1.7241 | 100 | 0.6256 | 0.6944 | 0.6256 | 0.7910 |
| No log | 1.7586 | 102 | 0.5987 | 0.6969 | 0.5987 | 0.7738 |
| No log | 1.7931 | 104 | 0.6049 | 0.6923 | 0.6049 | 0.7777 |
| No log | 1.8276 | 106 | 0.5607 | 0.7238 | 0.5607 | 0.7488 |
| No log | 1.8621 | 108 | 0.5878 | 0.7248 | 0.5878 | 0.7667 |
| No log | 1.8966 | 110 | 0.5892 | 0.7497 | 0.5892 | 0.7676 |
| No log | 1.9310 | 112 | 0.7185 | 0.7368 | 0.7185 | 0.8476 |
| No log | 1.9655 | 114 | 0.9102 | 0.7075 | 0.9102 | 0.9540 |
| No log | 2.0 | 116 | 0.9119 | 0.7075 | 0.9119 | 0.9550 |
| No log | 2.0345 | 118 | 0.6893 | 0.7347 | 0.6893 | 0.8302 |
| No log | 2.0690 | 120 | 0.6244 | 0.7088 | 0.6244 | 0.7902 |
| No log | 2.1034 | 122 | 1.2291 | 0.4981 | 1.2291 | 1.1087 |
| No log | 2.1379 | 124 | 1.7068 | 0.4129 | 1.7068 | 1.3065 |
| No log | 2.1724 | 126 | 1.5772 | 0.4148 | 1.5772 | 1.2559 |
| No log | 2.2069 | 128 | 1.0533 | 0.5842 | 1.0533 | 1.0263 |
| No log | 2.2414 | 130 | 0.5995 | 0.7215 | 0.5995 | 0.7743 |
| No log | 2.2759 | 132 | 0.6592 | 0.7297 | 0.6592 | 0.8119 |
| No log | 2.3103 | 134 | 0.8314 | 0.6832 | 0.8314 | 0.9118 |
| No log | 2.3448 | 136 | 0.7702 | 0.6966 | 0.7702 | 0.8776 |
| No log | 2.3793 | 138 | 0.5875 | 0.7405 | 0.5875 | 0.7665 |
| No log | 2.4138 | 140 | 0.5430 | 0.7371 | 0.5430 | 0.7369 |
| No log | 2.4483 | 142 | 0.6261 | 0.6918 | 0.6261 | 0.7913 |
| No log | 2.4828 | 144 | 0.6544 | 0.6969 | 0.6544 | 0.8090 |
| No log | 2.5172 | 146 | 0.6384 | 0.7338 | 0.6384 | 0.7990 |
| No log | 2.5517 | 148 | 0.6426 | 0.7518 | 0.6426 | 0.8016 |
| No log | 2.5862 | 150 | 0.6601 | 0.7484 | 0.6601 | 0.8124 |
| No log | 2.6207 | 152 | 0.6925 | 0.7530 | 0.6925 | 0.8322 |
| No log | 2.6552 | 154 | 0.8640 | 0.6728 | 0.8640 | 0.9295 |
| No log | 2.6897 | 156 | 0.9724 | 0.6192 | 0.9724 | 0.9861 |
| No log | 2.7241 | 158 | 0.8159 | 0.6699 | 0.8159 | 0.9033 |
| No log | 2.7586 | 160 | 0.6983 | 0.7437 | 0.6983 | 0.8356 |
| No log | 2.7931 | 162 | 0.6496 | 0.7351 | 0.6496 | 0.8060 |
| No log | 2.8276 | 164 | 0.6247 | 0.7472 | 0.6247 | 0.7904 |
| No log | 2.8621 | 166 | 0.6155 | 0.7485 | 0.6155 | 0.7845 |
| No log | 2.8966 | 168 | 0.6136 | 0.748 | 0.6136 | 0.7833 |
| No log | 2.9310 | 170 | 0.6387 | 0.7278 | 0.6387 | 0.7992 |
| No log | 2.9655 | 172 | 0.7243 | 0.7031 | 0.7243 | 0.8511 |
| No log | 3.0 | 174 | 0.7327 | 0.7144 | 0.7327 | 0.8560 |
| No log | 3.0345 | 176 | 0.6867 | 0.7246 | 0.6867 | 0.8287 |
| No log | 3.0690 | 178 | 0.6778 | 0.7385 | 0.6778 | 0.8233 |
| No log | 3.1034 | 180 | 0.7370 | 0.7101 | 0.7370 | 0.8585 |
| No log | 3.1379 | 182 | 0.7151 | 0.7221 | 0.7151 | 0.8456 |
| No log | 3.1724 | 184 | 0.6599 | 0.7351 | 0.6599 | 0.8123 |
| No log | 3.2069 | 186 | 0.6284 | 0.7254 | 0.6284 | 0.7927 |
| No log | 3.2414 | 188 | 0.6142 | 0.7235 | 0.6142 | 0.7837 |
| No log | 3.2759 | 190 | 0.6117 | 0.7417 | 0.6117 | 0.7821 |
| No log | 3.3103 | 192 | 0.6034 | 0.7026 | 0.6034 | 0.7768 |
| No log | 3.3448 | 194 | 0.5813 | 0.7384 | 0.5813 | 0.7624 |
| No log | 3.3793 | 196 | 0.5880 | 0.7288 | 0.5880 | 0.7668 |
| No log | 3.4138 | 198 | 0.6218 | 0.7644 | 0.6218 | 0.7886 |
| No log | 3.4483 | 200 | 0.5987 | 0.7429 | 0.5987 | 0.7737 |
| No log | 3.4828 | 202 | 0.5930 | 0.7635 | 0.5930 | 0.7701 |
| No log | 3.5172 | 204 | 0.6533 | 0.7230 | 0.6533 | 0.8083 |
| No log | 3.5517 | 206 | 0.7108 | 0.6791 | 0.7108 | 0.8431 |
| No log | 3.5862 | 208 | 0.6654 | 0.7234 | 0.6654 | 0.8157 |
| No log | 3.6207 | 210 | 0.5798 | 0.7562 | 0.5798 | 0.7615 |
| No log | 3.6552 | 212 | 0.5629 | 0.7300 | 0.5629 | 0.7503 |
| No log | 3.6897 | 214 | 0.5788 | 0.7443 | 0.5788 | 0.7608 |
| No log | 3.7241 | 216 | 0.5808 | 0.7688 | 0.5808 | 0.7621 |
| No log | 3.7586 | 218 | 0.6276 | 0.7477 | 0.6276 | 0.7922 |
| No log | 3.7931 | 220 | 0.7562 | 0.6933 | 0.7562 | 0.8696 |
| No log | 3.8276 | 222 | 0.8794 | 0.6345 | 0.8794 | 0.9377 |
| No log | 3.8621 | 224 | 0.9613 | 0.5974 | 0.9613 | 0.9805 |
| No log | 3.8966 | 226 | 0.8304 | 0.6469 | 0.8304 | 0.9113 |
| No log | 3.9310 | 228 | 0.6593 | 0.7256 | 0.6593 | 0.8120 |
| No log | 3.9655 | 230 | 0.6093 | 0.7565 | 0.6093 | 0.7806 |
| No log | 4.0 | 232 | 0.6088 | 0.7316 | 0.6088 | 0.7803 |
| No log | 4.0345 | 234 | 0.6287 | 0.7342 | 0.6287 | 0.7929 |
| No log | 4.0690 | 236 | 0.6052 | 0.7279 | 0.6052 | 0.7779 |
| No log | 4.1034 | 238 | 0.5938 | 0.7236 | 0.5938 | 0.7706 |
| No log | 4.1379 | 240 | 0.6287 | 0.7085 | 0.6287 | 0.7929 |
| No log | 4.1724 | 242 | 0.6516 | 0.6905 | 0.6516 | 0.8072 |
| No log | 4.2069 | 244 | 0.6494 | 0.7166 | 0.6494 | 0.8059 |
| No log | 4.2414 | 246 | 0.6929 | 0.7297 | 0.6929 | 0.8324 |
| No log | 4.2759 | 248 | 0.7283 | 0.7340 | 0.7283 | 0.8534 |
| No log | 4.3103 | 250 | 0.7941 | 0.6893 | 0.7941 | 0.8911 |
| No log | 4.3448 | 252 | 0.7984 | 0.6932 | 0.7984 | 0.8935 |
| No log | 4.3793 | 254 | 0.7209 | 0.7387 | 0.7209 | 0.8490 |
| No log | 4.4138 | 256 | 0.6945 | 0.7627 | 0.6945 | 0.8334 |
| No log | 4.4483 | 258 | 0.7132 | 0.7477 | 0.7132 | 0.8445 |
| No log | 4.4828 | 260 | 0.6558 | 0.7566 | 0.6558 | 0.8098 |
| No log | 4.5172 | 262 | 0.6071 | 0.7531 | 0.6071 | 0.7792 |
| No log | 4.5517 | 264 | 0.5990 | 0.7330 | 0.5990 | 0.7740 |
| No log | 4.5862 | 266 | 0.6111 | 0.7224 | 0.6111 | 0.7817 |
| No log | 4.6207 | 268 | 0.6148 | 0.7164 | 0.6148 | 0.7841 |
| No log | 4.6552 | 270 | 0.6052 | 0.7399 | 0.6052 | 0.7779 |
| No log | 4.6897 | 272 | 0.6030 | 0.7282 | 0.6030 | 0.7765 |
| No log | 4.7241 | 274 | 0.6489 | 0.7533 | 0.6489 | 0.8055 |
| No log | 4.7586 | 276 | 0.6847 | 0.7510 | 0.6847 | 0.8275 |
| No log | 4.7931 | 278 | 0.6279 | 0.7603 | 0.6279 | 0.7924 |
| No log | 4.8276 | 280 | 0.6006 | 0.7557 | 0.6006 | 0.7750 |
| No log | 4.8621 | 282 | 0.5721 | 0.7382 | 0.5721 | 0.7564 |
| No log | 4.8966 | 284 | 0.5756 | 0.7498 | 0.5756 | 0.7587 |
| No log | 4.9310 | 286 | 0.5748 | 0.7497 | 0.5748 | 0.7581 |
| No log | 4.9655 | 288 | 0.5761 | 0.7497 | 0.5761 | 0.7590 |
| No log | 5.0 | 290 | 0.5783 | 0.7535 | 0.5783 | 0.7605 |
| No log | 5.0345 | 292 | 0.5790 | 0.7647 | 0.5790 | 0.7609 |
| No log | 5.0690 | 294 | 0.5916 | 0.7652 | 0.5916 | 0.7692 |
| No log | 5.1034 | 296 | 0.6041 | 0.7510 | 0.6041 | 0.7772 |
| No log | 5.1379 | 298 | 0.6218 | 0.7407 | 0.6218 | 0.7885 |
| No log | 5.1724 | 300 | 0.6493 | 0.7435 | 0.6493 | 0.8058 |
| No log | 5.2069 | 302 | 0.6544 | 0.7445 | 0.6544 | 0.8089 |
| No log | 5.2414 | 304 | 0.6490 | 0.7366 | 0.6490 | 0.8056 |
| No log | 5.2759 | 306 | 0.6289 | 0.7341 | 0.6289 | 0.7930 |
| No log | 5.3103 | 308 | 0.6178 | 0.7475 | 0.6178 | 0.7860 |
| No log | 5.3448 | 310 | 0.6282 | 0.7573 | 0.6282 | 0.7926 |
| No log | 5.3793 | 312 | 0.6307 | 0.7573 | 0.6307 | 0.7942 |
| No log | 5.4138 | 314 | 0.6511 | 0.7501 | 0.6511 | 0.8069 |
| No log | 5.4483 | 316 | 0.6431 | 0.7462 | 0.6431 | 0.8020 |
| No log | 5.4828 | 318 | 0.6698 | 0.7298 | 0.6698 | 0.8184 |
| No log | 5.5172 | 320 | 0.7333 | 0.7347 | 0.7333 | 0.8564 |
| No log | 5.5517 | 322 | 0.8413 | 0.7287 | 0.8413 | 0.9172 |
| No log | 5.5862 | 324 | 0.8786 | 0.7101 | 0.8786 | 0.9373 |
| No log | 5.6207 | 326 | 0.8836 | 0.7036 | 0.8836 | 0.9400 |
| No log | 5.6552 | 328 | 0.7906 | 0.7181 | 0.7906 | 0.8892 |
| No log | 5.6897 | 330 | 0.6970 | 0.7368 | 0.6970 | 0.8348 |
| No log | 5.7241 | 332 | 0.6517 | 0.7487 | 0.6517 | 0.8073 |
| No log | 5.7586 | 334 | 0.6567 | 0.7456 | 0.6567 | 0.8104 |
| No log | 5.7931 | 336 | 0.6905 | 0.7380 | 0.6905 | 0.8309 |
| No log | 5.8276 | 338 | 0.7219 | 0.7392 | 0.7219 | 0.8496 |
| No log | 5.8621 | 340 | 0.7636 | 0.7289 | 0.7636 | 0.8739 |
| No log | 5.8966 | 342 | 0.7902 | 0.7202 | 0.7902 | 0.8889 |
| No log | 5.9310 | 344 | 0.7788 | 0.7271 | 0.7788 | 0.8825 |
| No log | 5.9655 | 346 | 0.7184 | 0.7502 | 0.7184 | 0.8476 |
| No log | 6.0 | 348 | 0.6642 | 0.7517 | 0.6642 | 0.8150 |
| No log | 6.0345 | 350 | 0.6523 | 0.7501 | 0.6523 | 0.8076 |
| No log | 6.0690 | 352 | 0.6645 | 0.7435 | 0.6645 | 0.8152 |
| No log | 6.1034 | 354 | 0.6510 | 0.7442 | 0.6510 | 0.8069 |
| No log | 6.1379 | 356 | 0.6225 | 0.7320 | 0.6225 | 0.7890 |
| No log | 6.1724 | 358 | 0.6109 | 0.7420 | 0.6109 | 0.7816 |
| No log | 6.2069 | 360 | 0.6132 | 0.7474 | 0.6132 | 0.7831 |
| No log | 6.2414 | 362 | 0.6318 | 0.7531 | 0.6318 | 0.7949 |
| No log | 6.2759 | 364 | 0.6519 | 0.7243 | 0.6519 | 0.8074 |
| No log | 6.3103 | 366 | 0.7153 | 0.7577 | 0.7153 | 0.8457 |
| No log | 6.3448 | 368 | 0.7709 | 0.7359 | 0.7709 | 0.8780 |
| No log | 6.3793 | 370 | 0.7290 | 0.7638 | 0.7290 | 0.8538 |
| No log | 6.4138 | 372 | 0.6477 | 0.7384 | 0.6477 | 0.8048 |
| No log | 6.4483 | 374 | 0.5966 | 0.7353 | 0.5966 | 0.7724 |
| No log | 6.4828 | 376 | 0.5848 | 0.7652 | 0.5848 | 0.7647 |
| No log | 6.5172 | 378 | 0.5798 | 0.7596 | 0.5798 | 0.7614 |
| No log | 6.5517 | 380 | 0.5796 | 0.7548 | 0.5796 | 0.7613 |
| No log | 6.5862 | 382 | 0.5920 | 0.7452 | 0.5920 | 0.7694 |
| No log | 6.6207 | 384 | 0.6249 | 0.7653 | 0.6249 | 0.7905 |
| No log | 6.6552 | 386 | 0.6634 | 0.7595 | 0.6634 | 0.8145 |
| No log | 6.6897 | 388 | 0.6972 | 0.7362 | 0.6972 | 0.8350 |
| No log | 6.7241 | 390 | 0.7014 | 0.7362 | 0.7014 | 0.8375 |
| No log | 6.7586 | 392 | 0.6604 | 0.7647 | 0.6604 | 0.8127 |
| No log | 6.7931 | 394 | 0.5949 | 0.7567 | 0.5949 | 0.7713 |
| No log | 6.8276 | 396 | 0.5710 | 0.7458 | 0.5710 | 0.7557 |
| No log | 6.8621 | 398 | 0.5867 | 0.7380 | 0.5867 | 0.7659 |
| No log | 6.8966 | 400 | 0.5909 | 0.7326 | 0.5909 | 0.7687 |
| No log | 6.9310 | 402 | 0.5784 | 0.7564 | 0.5784 | 0.7605 |
| No log | 6.9655 | 404 | 0.5866 | 0.7558 | 0.5866 | 0.7659 |
| No log | 7.0 | 406 | 0.6498 | 0.7409 | 0.6498 | 0.8061 |
| No log | 7.0345 | 408 | 0.7300 | 0.7473 | 0.7300 | 0.8544 |
| No log | 7.0690 | 410 | 0.7481 | 0.7468 | 0.7481 | 0.8649 |
| No log | 7.1034 | 412 | 0.7055 | 0.7390 | 0.7055 | 0.8399 |
| No log | 7.1379 | 414 | 0.6391 | 0.7445 | 0.6391 | 0.7995 |
| No log | 7.1724 | 416 | 0.5939 | 0.7480 | 0.5939 | 0.7706 |
| No log | 7.2069 | 418 | 0.5974 | 0.7435 | 0.5974 | 0.7729 |
| No log | 7.2414 | 420 | 0.6096 | 0.7347 | 0.6096 | 0.7808 |
| No log | 7.2759 | 422 | 0.6083 | 0.7304 | 0.6083 | 0.7799 |
| No log | 7.3103 | 424 | 0.6004 | 0.7560 | 0.6004 | 0.7748 |
| No log | 7.3448 | 426 | 0.6074 | 0.7628 | 0.6074 | 0.7794 |
| No log | 7.3793 | 428 | 0.6174 | 0.7577 | 0.6174 | 0.7858 |
| No log | 7.4138 | 430 | 0.6254 | 0.7536 | 0.6254 | 0.7908 |
| No log | 7.4483 | 432 | 0.6273 | 0.7320 | 0.6273 | 0.7920 |
| No log | 7.4828 | 434 | 0.6369 | 0.7463 | 0.6369 | 0.7981 |
| No log | 7.5172 | 436 | 0.6384 | 0.7463 | 0.6384 | 0.7990 |
| No log | 7.5517 | 438 | 0.6298 | 0.7370 | 0.6298 | 0.7936 |
| No log | 7.5862 | 440 | 0.6335 | 0.7369 | 0.6335 | 0.7959 |
| No log | 7.6207 | 442 | 0.6313 | 0.7525 | 0.6313 | 0.7946 |
| No log | 7.6552 | 444 | 0.6339 | 0.7549 | 0.6339 | 0.7962 |
| No log | 7.6897 | 446 | 0.6308 | 0.7549 | 0.6308 | 0.7942 |
| No log | 7.7241 | 448 | 0.6103 | 0.7592 | 0.6103 | 0.7812 |
| No log | 7.7586 | 450 | 0.5952 | 0.7682 | 0.5952 | 0.7715 |
| No log | 7.7931 | 452 | 0.5828 | 0.7637 | 0.5828 | 0.7634 |
| No log | 7.8276 | 454 | 0.5778 | 0.7430 | 0.5778 | 0.7601 |
| No log | 7.8621 | 456 | 0.5795 | 0.7557 | 0.5795 | 0.7613 |
| No log | 7.8966 | 458 | 0.5857 | 0.7627 | 0.5857 | 0.7653 |
| No log | 7.9310 | 460 | 0.6048 | 0.7490 | 0.6048 | 0.7777 |
| No log | 7.9655 | 462 | 0.6208 | 0.7545 | 0.6208 | 0.7879 |
| No log | 8.0 | 464 | 0.6287 | 0.7582 | 0.6287 | 0.7929 |
| No log | 8.0345 | 466 | 0.6269 | 0.7565 | 0.6269 | 0.7918 |
| No log | 8.0690 | 468 | 0.6155 | 0.7549 | 0.6155 | 0.7845 |
| No log | 8.1034 | 470 | 0.5961 | 0.7548 | 0.5961 | 0.7721 |
| No log | 8.1379 | 472 | 0.5867 | 0.7679 | 0.5867 | 0.7660 |
| No log | 8.1724 | 474 | 0.5925 | 0.7630 | 0.5925 | 0.7697 |
| No log | 8.2069 | 476 | 0.5973 | 0.7576 | 0.5973 | 0.7728 |
| No log | 8.2414 | 478 | 0.5980 | 0.7756 | 0.5980 | 0.7733 |
| No log | 8.2759 | 480 | 0.5956 | 0.7643 | 0.5956 | 0.7717 |
| No log | 8.3103 | 482 | 0.5953 | 0.7596 | 0.5953 | 0.7716 |
| No log | 8.3448 | 484 | 0.5971 | 0.7533 | 0.5971 | 0.7727 |
| No log | 8.3793 | 486 | 0.6040 | 0.7459 | 0.6040 | 0.7772 |
| No log | 8.4138 | 488 | 0.6093 | 0.7550 | 0.6093 | 0.7806 |
| No log | 8.4483 | 490 | 0.6250 | 0.7509 | 0.6250 | 0.7905 |
| No log | 8.4828 | 492 | 0.6322 | 0.7509 | 0.6322 | 0.7951 |
| No log | 8.5172 | 494 | 0.6326 | 0.7509 | 0.6326 | 0.7953 |
| No log | 8.5517 | 496 | 0.6262 | 0.7509 | 0.6262 | 0.7913 |
| No log | 8.5862 | 498 | 0.6205 | 0.7531 | 0.6205 | 0.7877 |
| 0.4708 | 8.6207 | 500 | 0.6094 | 0.7576 | 0.6094 | 0.7806 |
| 0.4708 | 8.6552 | 502 | 0.6037 | 0.7576 | 0.6037 | 0.7769 |
| 0.4708 | 8.6897 | 504 | 0.6008 | 0.7520 | 0.6008 | 0.7751 |
| 0.4708 | 8.7241 | 506 | 0.5993 | 0.7520 | 0.5993 | 0.7742 |
| 0.4708 | 8.7586 | 508 | 0.5969 | 0.7562 | 0.5969 | 0.7726 |
| 0.4708 | 8.7931 | 510 | 0.5981 | 0.7562 | 0.5981 | 0.7733 |
| 0.4708 | 8.8276 | 512 | 0.5986 | 0.7520 | 0.5986 | 0.7737 |
| 0.4708 | 8.8621 | 514 | 0.5989 | 0.7520 | 0.5989 | 0.7739 |
| 0.4708 | 8.8966 | 516 | 0.5954 | 0.7520 | 0.5954 | 0.7716 |
| 0.4708 | 8.9310 | 518 | 0.5912 | 0.7520 | 0.5912 | 0.7689 |
| 0.4708 | 8.9655 | 520 | 0.5883 | 0.7562 | 0.5883 | 0.7670 |
| 0.4708 | 9.0 | 522 | 0.5846 | 0.7489 | 0.5846 | 0.7646 |
| 0.4708 | 9.0345 | 524 | 0.5811 | 0.7511 | 0.5811 | 0.7623 |
| 0.4708 | 9.0690 | 526 | 0.5797 | 0.7499 | 0.5797 | 0.7614 |
| 0.4708 | 9.1034 | 528 | 0.5793 | 0.7424 | 0.5793 | 0.7611 |
| 0.4708 | 9.1379 | 530 | 0.5802 | 0.7482 | 0.5802 | 0.7617 |
| 0.4708 | 9.1724 | 532 | 0.5831 | 0.7460 | 0.5831 | 0.7636 |
| 0.4708 | 9.2069 | 534 | 0.5867 | 0.7514 | 0.5867 | 0.7660 |
| 0.4708 | 9.2414 | 536 | 0.5905 | 0.7430 | 0.5905 | 0.7685 |
| 0.4708 | 9.2759 | 538 | 0.5943 | 0.7430 | 0.5943 | 0.7709 |
| 0.4708 | 9.3103 | 540 | 0.5972 | 0.7430 | 0.5972 | 0.7728 |
| 0.4708 | 9.3448 | 542 | 0.6005 | 0.7445 | 0.6005 | 0.7749 |
| 0.4708 | 9.3793 | 544 | 0.6051 | 0.7559 | 0.6051 | 0.7779 |
| 0.4708 | 9.4138 | 546 | 0.6112 | 0.7559 | 0.6112 | 0.7818 |
| 0.4708 | 9.4483 | 548 | 0.6165 | 0.7533 | 0.6165 | 0.7852 |
| 0.4708 | 9.4828 | 550 | 0.6186 | 0.7533 | 0.6186 | 0.7865 |
| 0.4708 | 9.5172 | 552 | 0.6188 | 0.7533 | 0.6188 | 0.7866 |
| 0.4708 | 9.5517 | 554 | 0.6187 | 0.7533 | 0.6187 | 0.7866 |
| 0.4708 | 9.5862 | 556 | 0.6184 | 0.7422 | 0.6184 | 0.7864 |
| 0.4708 | 9.6207 | 558 | 0.6189 | 0.7422 | 0.6189 | 0.7867 |
| 0.4708 | 9.6552 | 560 | 0.6181 | 0.7533 | 0.6181 | 0.7862 |
| 0.4708 | 9.6897 | 562 | 0.6172 | 0.7533 | 0.6172 | 0.7856 |
| 0.4708 | 9.7241 | 564 | 0.6163 | 0.7533 | 0.6163 | 0.7851 |
| 0.4708 | 9.7586 | 566 | 0.6155 | 0.7533 | 0.6155 | 0.7845 |
| 0.4708 | 9.7931 | 568 | 0.6132 | 0.7559 | 0.6132 | 0.7831 |
| 0.4708 | 9.8276 | 570 | 0.6114 | 0.7559 | 0.6114 | 0.7819 |
| 0.4708 | 9.8621 | 572 | 0.6102 | 0.7559 | 0.6102 | 0.7811 |
| 0.4708 | 9.8966 | 574 | 0.6094 | 0.7559 | 0.6094 | 0.7807 |
| 0.4708 | 9.9310 | 576 | 0.6087 | 0.7559 | 0.6087 | 0.7802 |
| 0.4708 | 9.9655 | 578 | 0.6082 | 0.7559 | 0.6082 | 0.7799 |
| 0.4708 | 10.0 | 580 | 0.6081 | 0.7559 | 0.6081 | 0.7798 |
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02