ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k9_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: 0.7526
- Qwk: 0.7037
- Mse: 0.7526
- Rmse: 0.8675
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 | 0.0392 | 2 | 5.1131 | -0.0110 | 5.1131 | 2.2612 |
| No log | 0.0784 | 4 | 2.9579 | 0.0845 | 2.9579 | 1.7199 |
| No log | 0.1176 | 6 | 1.5513 | 0.1530 | 1.5513 | 1.2455 |
| No log | 0.1569 | 8 | 1.3208 | 0.2337 | 1.3208 | 1.1493 |
| No log | 0.1961 | 10 | 1.1760 | 0.1981 | 1.1760 | 1.0845 |
| No log | 0.2353 | 12 | 1.1525 | 0.1680 | 1.1525 | 1.0735 |
| No log | 0.2745 | 14 | 1.2286 | 0.1963 | 1.2286 | 1.1084 |
| No log | 0.3137 | 16 | 1.2379 | 0.2169 | 1.2379 | 1.1126 |
| No log | 0.3529 | 18 | 1.3230 | 0.1970 | 1.3230 | 1.1502 |
| No log | 0.3922 | 20 | 1.3232 | 0.2038 | 1.3232 | 1.1503 |
| No log | 0.4314 | 22 | 1.2445 | 0.3956 | 1.2445 | 1.1156 |
| No log | 0.4706 | 24 | 1.2228 | 0.3895 | 1.2228 | 1.1058 |
| No log | 0.5098 | 26 | 1.1993 | 0.3555 | 1.1993 | 1.0951 |
| No log | 0.5490 | 28 | 1.1523 | 0.3697 | 1.1523 | 1.0734 |
| No log | 0.5882 | 30 | 1.1222 | 0.2821 | 1.1222 | 1.0594 |
| No log | 0.6275 | 32 | 1.1143 | 0.2161 | 1.1143 | 1.0556 |
| No log | 0.6667 | 34 | 1.0876 | 0.2361 | 1.0876 | 1.0429 |
| No log | 0.7059 | 36 | 1.0826 | 0.2068 | 1.0826 | 1.0405 |
| No log | 0.7451 | 38 | 1.0462 | 0.3439 | 1.0462 | 1.0229 |
| No log | 0.7843 | 40 | 0.9317 | 0.4057 | 0.9317 | 0.9653 |
| No log | 0.8235 | 42 | 0.8296 | 0.4985 | 0.8296 | 0.9108 |
| No log | 0.8627 | 44 | 0.9072 | 0.4469 | 0.9072 | 0.9525 |
| No log | 0.9020 | 46 | 0.9031 | 0.4450 | 0.9031 | 0.9503 |
| No log | 0.9412 | 48 | 0.8222 | 0.4622 | 0.8222 | 0.9068 |
| No log | 0.9804 | 50 | 0.7772 | 0.5118 | 0.7772 | 0.8816 |
| No log | 1.0196 | 52 | 0.7140 | 0.5570 | 0.7140 | 0.8450 |
| No log | 1.0588 | 54 | 0.6815 | 0.6102 | 0.6815 | 0.8255 |
| No log | 1.0980 | 56 | 0.6923 | 0.6274 | 0.6923 | 0.8320 |
| No log | 1.1373 | 58 | 0.6510 | 0.6632 | 0.6510 | 0.8069 |
| No log | 1.1765 | 60 | 0.7052 | 0.6291 | 0.7052 | 0.8397 |
| No log | 1.2157 | 62 | 0.7408 | 0.6600 | 0.7408 | 0.8607 |
| No log | 1.2549 | 64 | 0.6490 | 0.7079 | 0.6490 | 0.8056 |
| No log | 1.2941 | 66 | 0.6000 | 0.7005 | 0.6000 | 0.7746 |
| No log | 1.3333 | 68 | 0.5767 | 0.7073 | 0.5767 | 0.7594 |
| No log | 1.3725 | 70 | 0.5483 | 0.7152 | 0.5483 | 0.7405 |
| No log | 1.4118 | 72 | 0.5860 | 0.6762 | 0.5860 | 0.7655 |
| No log | 1.4510 | 74 | 0.6540 | 0.6536 | 0.6540 | 0.8087 |
| No log | 1.4902 | 76 | 0.6133 | 0.7035 | 0.6133 | 0.7831 |
| No log | 1.5294 | 78 | 0.5758 | 0.7047 | 0.5758 | 0.7588 |
| No log | 1.5686 | 80 | 0.7008 | 0.6809 | 0.7008 | 0.8372 |
| No log | 1.6078 | 82 | 0.7746 | 0.6634 | 0.7746 | 0.8801 |
| No log | 1.6471 | 84 | 0.8371 | 0.6325 | 0.8371 | 0.9149 |
| No log | 1.6863 | 86 | 0.7777 | 0.6482 | 0.7777 | 0.8819 |
| No log | 1.7255 | 88 | 0.6462 | 0.6388 | 0.6462 | 0.8038 |
| No log | 1.7647 | 90 | 0.5828 | 0.6574 | 0.5828 | 0.7634 |
| No log | 1.8039 | 92 | 0.5788 | 0.6708 | 0.5788 | 0.7608 |
| No log | 1.8431 | 94 | 0.6208 | 0.6893 | 0.6208 | 0.7879 |
| No log | 1.8824 | 96 | 0.7139 | 0.6939 | 0.7139 | 0.8449 |
| No log | 1.9216 | 98 | 0.8328 | 0.6579 | 0.8328 | 0.9126 |
| No log | 1.9608 | 100 | 0.7470 | 0.6910 | 0.7470 | 0.8643 |
| No log | 2.0 | 102 | 0.6565 | 0.7241 | 0.6565 | 0.8103 |
| No log | 2.0392 | 104 | 0.6310 | 0.7185 | 0.6310 | 0.7944 |
| No log | 2.0784 | 106 | 0.6366 | 0.7164 | 0.6366 | 0.7979 |
| No log | 2.1176 | 108 | 0.7074 | 0.7181 | 0.7074 | 0.8411 |
| No log | 2.1569 | 110 | 0.7636 | 0.6730 | 0.7636 | 0.8738 |
| No log | 2.1961 | 112 | 0.8153 | 0.6627 | 0.8153 | 0.9030 |
| No log | 2.2353 | 114 | 0.8207 | 0.6748 | 0.8207 | 0.9059 |
| No log | 2.2745 | 116 | 0.7831 | 0.6732 | 0.7831 | 0.8850 |
| No log | 2.3137 | 118 | 0.8418 | 0.6647 | 0.8418 | 0.9175 |
| No log | 2.3529 | 120 | 1.0512 | 0.6109 | 1.0512 | 1.0253 |
| No log | 2.3922 | 122 | 1.2573 | 0.5668 | 1.2573 | 1.1213 |
| No log | 2.4314 | 124 | 1.1272 | 0.5607 | 1.1272 | 1.0617 |
| No log | 2.4706 | 126 | 0.8736 | 0.6357 | 0.8736 | 0.9347 |
| No log | 2.5098 | 128 | 0.7222 | 0.6671 | 0.7222 | 0.8498 |
| No log | 2.5490 | 130 | 0.6292 | 0.7404 | 0.6292 | 0.7932 |
| No log | 2.5882 | 132 | 0.6237 | 0.7562 | 0.6237 | 0.7897 |
| No log | 2.6275 | 134 | 0.6609 | 0.7311 | 0.6609 | 0.8130 |
| No log | 2.6667 | 136 | 0.7988 | 0.6812 | 0.7988 | 0.8938 |
| No log | 2.7059 | 138 | 0.9094 | 0.6612 | 0.9094 | 0.9536 |
| No log | 2.7451 | 140 | 0.8797 | 0.6595 | 0.8797 | 0.9379 |
| No log | 2.7843 | 142 | 0.7233 | 0.6788 | 0.7233 | 0.8505 |
| No log | 2.8235 | 144 | 0.6688 | 0.6908 | 0.6688 | 0.8178 |
| No log | 2.8627 | 146 | 0.6864 | 0.7135 | 0.6864 | 0.8285 |
| No log | 2.9020 | 148 | 0.7704 | 0.6317 | 0.7704 | 0.8777 |
| No log | 2.9412 | 150 | 0.8465 | 0.6233 | 0.8465 | 0.9200 |
| No log | 2.9804 | 152 | 0.8296 | 0.6521 | 0.8296 | 0.9108 |
| No log | 3.0196 | 154 | 0.9163 | 0.6091 | 0.9163 | 0.9572 |
| No log | 3.0588 | 156 | 0.9063 | 0.6345 | 0.9063 | 0.9520 |
| No log | 3.0980 | 158 | 0.8625 | 0.6207 | 0.8625 | 0.9287 |
| No log | 3.1373 | 160 | 0.7881 | 0.6723 | 0.7881 | 0.8878 |
| No log | 3.1765 | 162 | 0.7832 | 0.6607 | 0.7832 | 0.8850 |
| No log | 3.2157 | 164 | 0.8960 | 0.6233 | 0.8960 | 0.9466 |
| No log | 3.2549 | 166 | 0.9768 | 0.6146 | 0.9768 | 0.9883 |
| No log | 3.2941 | 168 | 0.9792 | 0.6051 | 0.9792 | 0.9896 |
| No log | 3.3333 | 170 | 0.8899 | 0.6228 | 0.8899 | 0.9433 |
| No log | 3.3725 | 172 | 0.8737 | 0.6273 | 0.8737 | 0.9347 |
| No log | 3.4118 | 174 | 0.8365 | 0.6235 | 0.8365 | 0.9146 |
| No log | 3.4510 | 176 | 0.9055 | 0.6134 | 0.9055 | 0.9516 |
| No log | 3.4902 | 178 | 0.8792 | 0.5935 | 0.8792 | 0.9377 |
| No log | 3.5294 | 180 | 0.7653 | 0.6436 | 0.7653 | 0.8748 |
| No log | 3.5686 | 182 | 0.6811 | 0.7300 | 0.6811 | 0.8253 |
| No log | 3.6078 | 184 | 0.6761 | 0.7230 | 0.6761 | 0.8223 |
| No log | 3.6471 | 186 | 0.6979 | 0.7027 | 0.6979 | 0.8354 |
| No log | 3.6863 | 188 | 0.8207 | 0.6294 | 0.8207 | 0.9059 |
| No log | 3.7255 | 190 | 0.9821 | 0.5904 | 0.9821 | 0.9910 |
| No log | 3.7647 | 192 | 0.9524 | 0.6025 | 0.9524 | 0.9759 |
| No log | 3.8039 | 194 | 0.8170 | 0.6857 | 0.8170 | 0.9039 |
| No log | 3.8431 | 196 | 0.7873 | 0.6863 | 0.7873 | 0.8873 |
| No log | 3.8824 | 198 | 0.8258 | 0.6787 | 0.8258 | 0.9087 |
| No log | 3.9216 | 200 | 0.8717 | 0.7005 | 0.8717 | 0.9336 |
| No log | 3.9608 | 202 | 0.9039 | 0.6755 | 0.9039 | 0.9507 |
| No log | 4.0 | 204 | 0.9494 | 0.6572 | 0.9494 | 0.9744 |
| No log | 4.0392 | 206 | 1.0639 | 0.6109 | 1.0639 | 1.0315 |
| No log | 4.0784 | 208 | 1.0314 | 0.6179 | 1.0314 | 1.0156 |
| No log | 4.1176 | 210 | 0.9062 | 0.6268 | 0.9062 | 0.9519 |
| No log | 4.1569 | 212 | 0.8041 | 0.6809 | 0.8041 | 0.8967 |
| No log | 4.1961 | 214 | 0.7983 | 0.6753 | 0.7983 | 0.8935 |
| No log | 4.2353 | 216 | 0.8432 | 0.6643 | 0.8432 | 0.9182 |
| No log | 4.2745 | 218 | 0.9548 | 0.6732 | 0.9548 | 0.9771 |
| No log | 4.3137 | 220 | 0.9650 | 0.6590 | 0.9650 | 0.9823 |
| No log | 4.3529 | 222 | 1.0210 | 0.6445 | 1.0210 | 1.0104 |
| No log | 4.3922 | 224 | 1.0041 | 0.5805 | 1.0041 | 1.0020 |
| No log | 4.4314 | 226 | 0.9107 | 0.6055 | 0.9107 | 0.9543 |
| No log | 4.4706 | 228 | 0.8290 | 0.6685 | 0.8290 | 0.9105 |
| No log | 4.5098 | 230 | 0.8291 | 0.6669 | 0.8291 | 0.9105 |
| No log | 4.5490 | 232 | 0.8601 | 0.6411 | 0.8601 | 0.9274 |
| No log | 4.5882 | 234 | 0.7938 | 0.6510 | 0.7938 | 0.8910 |
| No log | 4.6275 | 236 | 0.6705 | 0.6925 | 0.6705 | 0.8188 |
| No log | 4.6667 | 238 | 0.6302 | 0.6876 | 0.6302 | 0.7938 |
| No log | 4.7059 | 240 | 0.6283 | 0.6946 | 0.6283 | 0.7927 |
| No log | 4.7451 | 242 | 0.6160 | 0.7053 | 0.6160 | 0.7849 |
| No log | 4.7843 | 244 | 0.6343 | 0.7330 | 0.6343 | 0.7964 |
| No log | 4.8235 | 246 | 0.7233 | 0.7183 | 0.7233 | 0.8505 |
| No log | 4.8627 | 248 | 0.9326 | 0.6438 | 0.9326 | 0.9657 |
| No log | 4.9020 | 250 | 1.0175 | 0.6317 | 1.0175 | 1.0087 |
| No log | 4.9412 | 252 | 0.9741 | 0.6290 | 0.9741 | 0.9870 |
| No log | 4.9804 | 254 | 0.8250 | 0.6450 | 0.8250 | 0.9083 |
| No log | 5.0196 | 256 | 0.6845 | 0.7407 | 0.6845 | 0.8273 |
| No log | 5.0588 | 258 | 0.6401 | 0.7330 | 0.6401 | 0.8001 |
| No log | 5.0980 | 260 | 0.6507 | 0.7324 | 0.6507 | 0.8067 |
| No log | 5.1373 | 262 | 0.6840 | 0.7138 | 0.6840 | 0.8270 |
| No log | 5.1765 | 264 | 0.7077 | 0.6988 | 0.7077 | 0.8413 |
| No log | 5.2157 | 266 | 0.7102 | 0.6906 | 0.7102 | 0.8427 |
| No log | 5.2549 | 268 | 0.6853 | 0.7213 | 0.6853 | 0.8278 |
| No log | 5.2941 | 270 | 0.6760 | 0.7404 | 0.6760 | 0.8222 |
| No log | 5.3333 | 272 | 0.6898 | 0.7282 | 0.6898 | 0.8305 |
| No log | 5.3725 | 274 | 0.7399 | 0.6879 | 0.7399 | 0.8602 |
| No log | 5.4118 | 276 | 0.8141 | 0.6652 | 0.8141 | 0.9023 |
| No log | 5.4510 | 278 | 0.8085 | 0.6652 | 0.8085 | 0.8991 |
| No log | 5.4902 | 280 | 0.8036 | 0.6730 | 0.8036 | 0.8964 |
| No log | 5.5294 | 282 | 0.8292 | 0.6872 | 0.8292 | 0.9106 |
| No log | 5.5686 | 284 | 0.8010 | 0.6817 | 0.8010 | 0.8950 |
| No log | 5.6078 | 286 | 0.7462 | 0.6938 | 0.7462 | 0.8638 |
| No log | 5.6471 | 288 | 0.6686 | 0.7095 | 0.6686 | 0.8177 |
| No log | 5.6863 | 290 | 0.6412 | 0.7216 | 0.6412 | 0.8007 |
| No log | 5.7255 | 292 | 0.6580 | 0.7210 | 0.6580 | 0.8112 |
| No log | 5.7647 | 294 | 0.6374 | 0.7335 | 0.6374 | 0.7984 |
| No log | 5.8039 | 296 | 0.6114 | 0.7158 | 0.6114 | 0.7819 |
| No log | 5.8431 | 298 | 0.6485 | 0.7218 | 0.6485 | 0.8053 |
| No log | 5.8824 | 300 | 0.7208 | 0.7084 | 0.7208 | 0.8490 |
| No log | 5.9216 | 302 | 0.8217 | 0.7031 | 0.8217 | 0.9065 |
| No log | 5.9608 | 304 | 0.8504 | 0.6967 | 0.8504 | 0.9222 |
| No log | 6.0 | 306 | 0.8372 | 0.6869 | 0.8372 | 0.9150 |
| No log | 6.0392 | 308 | 0.7720 | 0.6898 | 0.7720 | 0.8786 |
| No log | 6.0784 | 310 | 0.6975 | 0.7039 | 0.6975 | 0.8351 |
| No log | 6.1176 | 312 | 0.6802 | 0.6976 | 0.6802 | 0.8247 |
| No log | 6.1569 | 314 | 0.6906 | 0.7046 | 0.6906 | 0.8310 |
| No log | 6.1961 | 316 | 0.7091 | 0.6994 | 0.7091 | 0.8421 |
| No log | 6.2353 | 318 | 0.7266 | 0.6972 | 0.7266 | 0.8524 |
| No log | 6.2745 | 320 | 0.7296 | 0.6955 | 0.7296 | 0.8542 |
| No log | 6.3137 | 322 | 0.7211 | 0.6972 | 0.7211 | 0.8492 |
| No log | 6.3529 | 324 | 0.7066 | 0.6956 | 0.7066 | 0.8406 |
| No log | 6.3922 | 326 | 0.7345 | 0.6917 | 0.7345 | 0.8570 |
| No log | 6.4314 | 328 | 0.7494 | 0.6878 | 0.7494 | 0.8657 |
| No log | 6.4706 | 330 | 0.7741 | 0.6750 | 0.7741 | 0.8799 |
| No log | 6.5098 | 332 | 0.7718 | 0.6756 | 0.7718 | 0.8785 |
| No log | 6.5490 | 334 | 0.7434 | 0.6889 | 0.7434 | 0.8622 |
| No log | 6.5882 | 336 | 0.6888 | 0.7315 | 0.6888 | 0.8299 |
| No log | 6.6275 | 338 | 0.6914 | 0.7320 | 0.6914 | 0.8315 |
| No log | 6.6667 | 340 | 0.7412 | 0.7109 | 0.7412 | 0.8609 |
| No log | 6.7059 | 342 | 0.8469 | 0.6762 | 0.8469 | 0.9203 |
| No log | 6.7451 | 344 | 0.9056 | 0.6817 | 0.9056 | 0.9516 |
| No log | 6.7843 | 346 | 0.8719 | 0.6734 | 0.8719 | 0.9338 |
| No log | 6.8235 | 348 | 0.8152 | 0.6803 | 0.8152 | 0.9029 |
| No log | 6.8627 | 350 | 0.7667 | 0.6834 | 0.7667 | 0.8756 |
| No log | 6.9020 | 352 | 0.7345 | 0.7274 | 0.7345 | 0.8570 |
| No log | 6.9412 | 354 | 0.6934 | 0.7462 | 0.6934 | 0.8327 |
| No log | 6.9804 | 356 | 0.6594 | 0.7469 | 0.6594 | 0.8121 |
| No log | 7.0196 | 358 | 0.6533 | 0.7445 | 0.6533 | 0.8082 |
| No log | 7.0588 | 360 | 0.6879 | 0.7335 | 0.6879 | 0.8294 |
| No log | 7.0980 | 362 | 0.7874 | 0.6942 | 0.7874 | 0.8873 |
| No log | 7.1373 | 364 | 0.8635 | 0.6805 | 0.8635 | 0.9293 |
| No log | 7.1765 | 366 | 0.8426 | 0.6914 | 0.8426 | 0.9179 |
| No log | 7.2157 | 368 | 0.7738 | 0.7004 | 0.7738 | 0.8797 |
| No log | 7.2549 | 370 | 0.7232 | 0.6944 | 0.7232 | 0.8504 |
| No log | 7.2941 | 372 | 0.6911 | 0.7461 | 0.6911 | 0.8313 |
| No log | 7.3333 | 374 | 0.7109 | 0.7302 | 0.7109 | 0.8432 |
| No log | 7.3725 | 376 | 0.7690 | 0.7004 | 0.7690 | 0.8770 |
| No log | 7.4118 | 378 | 0.8617 | 0.6729 | 0.8617 | 0.9283 |
| No log | 7.4510 | 380 | 0.9384 | 0.6745 | 0.9384 | 0.9687 |
| No log | 7.4902 | 382 | 0.9414 | 0.6745 | 0.9414 | 0.9703 |
| No log | 7.5294 | 384 | 0.9014 | 0.6729 | 0.9014 | 0.9494 |
| No log | 7.5686 | 386 | 0.8296 | 0.6671 | 0.8296 | 0.9108 |
| No log | 7.6078 | 388 | 0.7782 | 0.6926 | 0.7782 | 0.8822 |
| No log | 7.6471 | 390 | 0.7505 | 0.6937 | 0.7505 | 0.8663 |
| No log | 7.6863 | 392 | 0.7475 | 0.6976 | 0.7475 | 0.8646 |
| No log | 7.7255 | 394 | 0.7425 | 0.7163 | 0.7425 | 0.8617 |
| No log | 7.7647 | 396 | 0.7441 | 0.7010 | 0.7441 | 0.8626 |
| No log | 7.8039 | 398 | 0.7404 | 0.7170 | 0.7404 | 0.8605 |
| No log | 7.8431 | 400 | 0.7565 | 0.6905 | 0.7565 | 0.8698 |
| No log | 7.8824 | 402 | 0.7769 | 0.6833 | 0.7769 | 0.8814 |
| No log | 7.9216 | 404 | 0.7628 | 0.6816 | 0.7628 | 0.8734 |
| No log | 7.9608 | 406 | 0.7570 | 0.6904 | 0.7570 | 0.8700 |
| No log | 8.0 | 408 | 0.7544 | 0.6904 | 0.7544 | 0.8686 |
| No log | 8.0392 | 410 | 0.7680 | 0.6833 | 0.7680 | 0.8763 |
| No log | 8.0784 | 412 | 0.8007 | 0.6794 | 0.8007 | 0.8948 |
| No log | 8.1176 | 414 | 0.8065 | 0.6794 | 0.8065 | 0.8980 |
| No log | 8.1569 | 416 | 0.8444 | 0.6654 | 0.8444 | 0.9189 |
| No log | 8.1961 | 418 | 0.8622 | 0.6555 | 0.8622 | 0.9285 |
| No log | 8.2353 | 420 | 0.8460 | 0.6654 | 0.8460 | 0.9198 |
| No log | 8.2745 | 422 | 0.8003 | 0.6794 | 0.8003 | 0.8946 |
| No log | 8.3137 | 424 | 0.7632 | 0.6965 | 0.7632 | 0.8736 |
| No log | 8.3529 | 426 | 0.7412 | 0.7089 | 0.7412 | 0.8610 |
| No log | 8.3922 | 428 | 0.7395 | 0.7166 | 0.7395 | 0.8600 |
| No log | 8.4314 | 430 | 0.7389 | 0.7056 | 0.7389 | 0.8596 |
| No log | 8.4706 | 432 | 0.7610 | 0.7004 | 0.7610 | 0.8723 |
| No log | 8.5098 | 434 | 0.8020 | 0.6932 | 0.8020 | 0.8955 |
| No log | 8.5490 | 436 | 0.8257 | 0.6931 | 0.8257 | 0.9087 |
| No log | 8.5882 | 438 | 0.8414 | 0.6845 | 0.8414 | 0.9173 |
| No log | 8.6275 | 440 | 0.8336 | 0.6807 | 0.8336 | 0.9130 |
| No log | 8.6667 | 442 | 0.8315 | 0.6807 | 0.8315 | 0.9119 |
| No log | 8.7059 | 444 | 0.8145 | 0.6794 | 0.8145 | 0.9025 |
| No log | 8.7451 | 446 | 0.7813 | 0.6882 | 0.7813 | 0.8839 |
| No log | 8.7843 | 448 | 0.7449 | 0.7155 | 0.7449 | 0.8631 |
| No log | 8.8235 | 450 | 0.7322 | 0.7194 | 0.7322 | 0.8557 |
| No log | 8.8627 | 452 | 0.7264 | 0.7139 | 0.7264 | 0.8523 |
| No log | 8.9020 | 454 | 0.7122 | 0.7308 | 0.7122 | 0.8439 |
| No log | 8.9412 | 456 | 0.7060 | 0.7308 | 0.7060 | 0.8402 |
| No log | 8.9804 | 458 | 0.7174 | 0.7147 | 0.7174 | 0.8470 |
| No log | 9.0196 | 460 | 0.7395 | 0.7147 | 0.7395 | 0.8599 |
| No log | 9.0588 | 462 | 0.7733 | 0.6970 | 0.7733 | 0.8794 |
| No log | 9.0980 | 464 | 0.7974 | 0.6794 | 0.7974 | 0.8930 |
| No log | 9.1373 | 466 | 0.8123 | 0.6871 | 0.8123 | 0.9013 |
| No log | 9.1765 | 468 | 0.8166 | 0.6883 | 0.8166 | 0.9037 |
| No log | 9.2157 | 470 | 0.8196 | 0.6883 | 0.8196 | 0.9053 |
| No log | 9.2549 | 472 | 0.8161 | 0.6883 | 0.8161 | 0.9034 |
| No log | 9.2941 | 474 | 0.8035 | 0.6883 | 0.8035 | 0.8964 |
| No log | 9.3333 | 476 | 0.7951 | 0.6845 | 0.7951 | 0.8917 |
| No log | 9.3725 | 478 | 0.7894 | 0.6845 | 0.7894 | 0.8885 |
| No log | 9.4118 | 480 | 0.7885 | 0.6845 | 0.7885 | 0.8880 |
| No log | 9.4510 | 482 | 0.7934 | 0.6845 | 0.7934 | 0.8907 |
| No log | 9.4902 | 484 | 0.7952 | 0.6845 | 0.7952 | 0.8917 |
| No log | 9.5294 | 486 | 0.7867 | 0.6845 | 0.7867 | 0.8870 |
| No log | 9.5686 | 488 | 0.7735 | 0.6932 | 0.7735 | 0.8795 |
| No log | 9.6078 | 490 | 0.7616 | 0.7019 | 0.7616 | 0.8727 |
| No log | 9.6471 | 492 | 0.7522 | 0.7037 | 0.7522 | 0.8673 |
| No log | 9.6863 | 494 | 0.7472 | 0.7072 | 0.7472 | 0.8644 |
| No log | 9.7255 | 496 | 0.7445 | 0.7072 | 0.7445 | 0.8629 |
| No log | 9.7647 | 498 | 0.7469 | 0.7054 | 0.7469 | 0.8642 |
| 0.4262 | 9.8039 | 500 | 0.7484 | 0.7054 | 0.7484 | 0.8651 |
| 0.4262 | 9.8431 | 502 | 0.7499 | 0.7054 | 0.7499 | 0.8660 |
| 0.4262 | 9.8824 | 504 | 0.7504 | 0.7054 | 0.7504 | 0.8663 |
| 0.4262 | 9.9216 | 506 | 0.7516 | 0.7054 | 0.7516 | 0.8669 |
| 0.4262 | 9.9608 | 508 | 0.7522 | 0.7037 | 0.7522 | 0.8673 |
| 0.4262 | 10.0 | 510 | 0.7526 | 0.7037 | 0.7526 | 0.8675 |
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_run2_AugV5_k9_task1_organization
Base model
aubmindlab/bert-base-arabertv02