ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_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: 0.6886
- Qwk: 0.7347
- Mse: 0.6886
- Rmse: 0.8298
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 | 0.0286 | 2 | 7.0024 | -0.0056 | 7.0024 | 2.6462 |
No log | 0.0571 | 4 | 5.1780 | -0.0079 | 5.1780 | 2.2755 |
No log | 0.0857 | 6 | 4.0001 | -0.0784 | 4.0001 | 2.0000 |
No log | 0.1143 | 8 | 2.4915 | 0.1399 | 2.4915 | 1.5785 |
No log | 0.1429 | 10 | 2.0463 | 0.2047 | 2.0463 | 1.4305 |
No log | 0.1714 | 12 | 1.7302 | 0.1802 | 1.7302 | 1.3154 |
No log | 0.2 | 14 | 1.6767 | 0.2407 | 1.6767 | 1.2949 |
No log | 0.2286 | 16 | 1.5575 | 0.2569 | 1.5575 | 1.2480 |
No log | 0.2571 | 18 | 1.7990 | 0.3566 | 1.7990 | 1.3413 |
No log | 0.2857 | 20 | 2.8821 | 0.1081 | 2.8821 | 1.6977 |
No log | 0.3143 | 22 | 2.6672 | 0.1685 | 2.6672 | 1.6332 |
No log | 0.3429 | 24 | 1.9365 | 0.3862 | 1.9365 | 1.3916 |
No log | 0.3714 | 26 | 1.5747 | 0.2857 | 1.5747 | 1.2549 |
No log | 0.4 | 28 | 1.4914 | 0.2881 | 1.4914 | 1.2212 |
No log | 0.4286 | 30 | 1.3951 | 0.2679 | 1.3951 | 1.1811 |
No log | 0.4571 | 32 | 1.3621 | 0.3833 | 1.3621 | 1.1671 |
No log | 0.4857 | 34 | 1.7485 | 0.3407 | 1.7485 | 1.3223 |
No log | 0.5143 | 36 | 2.5358 | 0.2333 | 2.5358 | 1.5924 |
No log | 0.5429 | 38 | 3.3410 | 0.2613 | 3.3410 | 1.8278 |
No log | 0.5714 | 40 | 2.7741 | 0.3178 | 2.7741 | 1.6656 |
No log | 0.6 | 42 | 2.1858 | 0.4175 | 2.1858 | 1.4785 |
No log | 0.6286 | 44 | 1.4147 | 0.5517 | 1.4147 | 1.1894 |
No log | 0.6571 | 46 | 0.9817 | 0.7089 | 0.9817 | 0.9908 |
No log | 0.6857 | 48 | 0.9036 | 0.6757 | 0.9036 | 0.9506 |
No log | 0.7143 | 50 | 0.9898 | 0.6569 | 0.9898 | 0.9949 |
No log | 0.7429 | 52 | 0.9905 | 0.6187 | 0.9905 | 0.9952 |
No log | 0.7714 | 54 | 1.1301 | 0.6184 | 1.1301 | 1.0631 |
No log | 0.8 | 56 | 1.3984 | 0.5478 | 1.3984 | 1.1826 |
No log | 0.8286 | 58 | 1.2728 | 0.5395 | 1.2728 | 1.1282 |
No log | 0.8571 | 60 | 1.0622 | 0.6056 | 1.0622 | 1.0306 |
No log | 0.8857 | 62 | 0.9881 | 0.6528 | 0.9881 | 0.9940 |
No log | 0.9143 | 64 | 0.8393 | 0.7273 | 0.8393 | 0.9161 |
No log | 0.9429 | 66 | 0.7963 | 0.7297 | 0.7963 | 0.8923 |
No log | 0.9714 | 68 | 0.8146 | 0.7027 | 0.8146 | 0.9026 |
No log | 1.0 | 70 | 1.1647 | 0.6115 | 1.1647 | 1.0792 |
No log | 1.0286 | 72 | 1.4834 | 0.5366 | 1.4834 | 1.2179 |
No log | 1.0571 | 74 | 1.2058 | 0.5535 | 1.2058 | 1.0981 |
No log | 1.0857 | 76 | 0.9245 | 0.6531 | 0.9245 | 0.9615 |
No log | 1.1143 | 78 | 0.8027 | 0.6765 | 0.8027 | 0.8960 |
No log | 1.1429 | 80 | 0.8018 | 0.6765 | 0.8018 | 0.8955 |
No log | 1.1714 | 82 | 0.9466 | 0.6533 | 0.9466 | 0.9729 |
No log | 1.2 | 84 | 0.8516 | 0.6974 | 0.8516 | 0.9228 |
No log | 1.2286 | 86 | 0.7435 | 0.7320 | 0.7435 | 0.8623 |
No log | 1.2571 | 88 | 0.7816 | 0.7320 | 0.7816 | 0.8841 |
No log | 1.2857 | 90 | 0.8902 | 0.6622 | 0.8902 | 0.9435 |
No log | 1.3143 | 92 | 1.0705 | 0.6182 | 1.0705 | 1.0346 |
No log | 1.3429 | 94 | 1.4062 | 0.5978 | 1.4062 | 1.1858 |
No log | 1.3714 | 96 | 1.4508 | 0.5829 | 1.4508 | 1.2045 |
No log | 1.4 | 98 | 1.2164 | 0.5854 | 1.2164 | 1.1029 |
No log | 1.4286 | 100 | 0.9879 | 0.6795 | 0.9879 | 0.9939 |
No log | 1.4571 | 102 | 0.7723 | 0.7383 | 0.7723 | 0.8788 |
No log | 1.4857 | 104 | 0.7093 | 0.7949 | 0.7093 | 0.8422 |
No log | 1.5143 | 106 | 0.6659 | 0.7975 | 0.6659 | 0.8160 |
No log | 1.5429 | 108 | 0.6533 | 0.8050 | 0.6533 | 0.8083 |
No log | 1.5714 | 110 | 0.7013 | 0.75 | 0.7013 | 0.8374 |
No log | 1.6 | 112 | 0.6999 | 0.75 | 0.6999 | 0.8366 |
No log | 1.6286 | 114 | 0.8096 | 0.7329 | 0.8096 | 0.8998 |
No log | 1.6571 | 116 | 0.9308 | 0.7059 | 0.9308 | 0.9648 |
No log | 1.6857 | 118 | 0.8529 | 0.7219 | 0.8529 | 0.9235 |
No log | 1.7143 | 120 | 0.7000 | 0.7284 | 0.7000 | 0.8366 |
No log | 1.7429 | 122 | 0.7040 | 0.7485 | 0.7040 | 0.8391 |
No log | 1.7714 | 124 | 0.7204 | 0.7561 | 0.7204 | 0.8488 |
No log | 1.8 | 126 | 0.6865 | 0.7692 | 0.6865 | 0.8285 |
No log | 1.8286 | 128 | 0.7013 | 0.7467 | 0.7013 | 0.8375 |
No log | 1.8571 | 130 | 0.6752 | 0.7467 | 0.6752 | 0.8217 |
No log | 1.8857 | 132 | 0.7899 | 0.7211 | 0.7899 | 0.8888 |
No log | 1.9143 | 134 | 0.8598 | 0.75 | 0.8598 | 0.9273 |
No log | 1.9429 | 136 | 0.7182 | 0.7517 | 0.7182 | 0.8475 |
No log | 1.9714 | 138 | 0.6643 | 0.7517 | 0.6643 | 0.8151 |
No log | 2.0 | 140 | 0.6306 | 0.7947 | 0.6306 | 0.7941 |
No log | 2.0286 | 142 | 0.7043 | 0.7412 | 0.7043 | 0.8392 |
No log | 2.0571 | 144 | 0.8603 | 0.7283 | 0.8603 | 0.9275 |
No log | 2.0857 | 146 | 0.8142 | 0.7326 | 0.8142 | 0.9023 |
No log | 2.1143 | 148 | 0.7914 | 0.7349 | 0.7914 | 0.8896 |
No log | 2.1429 | 150 | 0.8418 | 0.7262 | 0.8418 | 0.9175 |
No log | 2.1714 | 152 | 0.8696 | 0.7262 | 0.8696 | 0.9325 |
No log | 2.2 | 154 | 0.6940 | 0.7205 | 0.6940 | 0.8331 |
No log | 2.2286 | 156 | 0.6549 | 0.7625 | 0.6549 | 0.8092 |
No log | 2.2571 | 158 | 0.7052 | 0.7089 | 0.7052 | 0.8398 |
No log | 2.2857 | 160 | 0.8223 | 0.7125 | 0.8223 | 0.9068 |
No log | 2.3143 | 162 | 0.8829 | 0.7037 | 0.8829 | 0.9396 |
No log | 2.3429 | 164 | 0.7530 | 0.7162 | 0.7530 | 0.8678 |
No log | 2.3714 | 166 | 0.6450 | 0.7586 | 0.6450 | 0.8031 |
No log | 2.4 | 168 | 0.7012 | 0.7183 | 0.7012 | 0.8374 |
No log | 2.4286 | 170 | 0.7899 | 0.6667 | 0.7899 | 0.8888 |
No log | 2.4571 | 172 | 1.0808 | 0.6503 | 1.0808 | 1.0396 |
No log | 2.4857 | 174 | 1.1299 | 0.6474 | 1.1299 | 1.0630 |
No log | 2.5143 | 176 | 0.8905 | 0.6826 | 0.8905 | 0.9437 |
No log | 2.5429 | 178 | 0.8697 | 0.6746 | 0.8697 | 0.9326 |
No log | 2.5714 | 180 | 0.9917 | 0.6966 | 0.9917 | 0.9958 |
No log | 2.6 | 182 | 1.1368 | 0.6630 | 1.1368 | 1.0662 |
No log | 2.6286 | 184 | 1.0475 | 0.6552 | 1.0475 | 1.0235 |
No log | 2.6571 | 186 | 1.0556 | 0.6467 | 1.0556 | 1.0274 |
No log | 2.6857 | 188 | 1.0912 | 0.6182 | 1.0912 | 1.0446 |
No log | 2.7143 | 190 | 1.1109 | 0.6115 | 1.1109 | 1.0540 |
No log | 2.7429 | 192 | 0.9344 | 0.6533 | 0.9344 | 0.9666 |
No log | 2.7714 | 194 | 0.8154 | 0.6933 | 0.8154 | 0.9030 |
No log | 2.8 | 196 | 0.9884 | 0.6460 | 0.9884 | 0.9942 |
No log | 2.8286 | 198 | 0.9994 | 0.6506 | 0.9994 | 0.9997 |
No log | 2.8571 | 200 | 0.7430 | 0.7237 | 0.7430 | 0.8620 |
No log | 2.8857 | 202 | 0.6831 | 0.7785 | 0.6831 | 0.8265 |
No log | 2.9143 | 204 | 0.7326 | 0.7532 | 0.7326 | 0.8559 |
No log | 2.9429 | 206 | 0.9074 | 0.6667 | 0.9074 | 0.9526 |
No log | 2.9714 | 208 | 0.9040 | 0.6486 | 0.9040 | 0.9508 |
No log | 3.0 | 210 | 0.7631 | 0.7034 | 0.7631 | 0.8736 |
No log | 3.0286 | 212 | 0.6742 | 0.7619 | 0.6742 | 0.8211 |
No log | 3.0571 | 214 | 0.6207 | 0.7867 | 0.6207 | 0.7878 |
No log | 3.0857 | 216 | 0.5986 | 0.8101 | 0.5986 | 0.7737 |
No log | 3.1143 | 218 | 0.6010 | 0.8050 | 0.6010 | 0.7752 |
No log | 3.1429 | 220 | 0.6380 | 0.7771 | 0.6380 | 0.7988 |
No log | 3.1714 | 222 | 0.8098 | 0.7456 | 0.8098 | 0.8999 |
No log | 3.2 | 224 | 0.7177 | 0.7665 | 0.7177 | 0.8472 |
No log | 3.2286 | 226 | 0.6731 | 0.7590 | 0.6731 | 0.8204 |
No log | 3.2571 | 228 | 0.7315 | 0.7470 | 0.7315 | 0.8553 |
No log | 3.2857 | 230 | 0.9299 | 0.6994 | 0.9299 | 0.9643 |
No log | 3.3143 | 232 | 1.0666 | 0.6341 | 1.0666 | 1.0328 |
No log | 3.3429 | 234 | 1.0844 | 0.5926 | 1.0844 | 1.0413 |
No log | 3.3714 | 236 | 0.9004 | 0.6577 | 0.9004 | 0.9489 |
No log | 3.4 | 238 | 0.7594 | 0.7273 | 0.7594 | 0.8715 |
No log | 3.4286 | 240 | 0.7309 | 0.7383 | 0.7309 | 0.8549 |
No log | 3.4571 | 242 | 0.7592 | 0.7125 | 0.7592 | 0.8713 |
No log | 3.4857 | 244 | 0.8205 | 0.7305 | 0.8205 | 0.9058 |
No log | 3.5143 | 246 | 0.8643 | 0.7108 | 0.8643 | 0.9297 |
No log | 3.5429 | 248 | 0.7742 | 0.7381 | 0.7742 | 0.8799 |
No log | 3.5714 | 250 | 0.6716 | 0.7456 | 0.6716 | 0.8195 |
No log | 3.6 | 252 | 0.7561 | 0.7229 | 0.7561 | 0.8696 |
No log | 3.6286 | 254 | 0.8671 | 0.7011 | 0.8671 | 0.9312 |
No log | 3.6571 | 256 | 0.8868 | 0.6748 | 0.8868 | 0.9417 |
No log | 3.6857 | 258 | 0.6890 | 0.7260 | 0.6890 | 0.8301 |
No log | 3.7143 | 260 | 0.6479 | 0.7313 | 0.6479 | 0.8049 |
No log | 3.7429 | 262 | 0.7348 | 0.7206 | 0.7348 | 0.8572 |
No log | 3.7714 | 264 | 0.6978 | 0.7206 | 0.6978 | 0.8354 |
No log | 3.8 | 266 | 0.6263 | 0.7724 | 0.6263 | 0.7914 |
No log | 3.8286 | 268 | 0.6601 | 0.7843 | 0.6601 | 0.8125 |
No log | 3.8571 | 270 | 0.6492 | 0.7843 | 0.6492 | 0.8057 |
No log | 3.8857 | 272 | 0.6664 | 0.7838 | 0.6664 | 0.8163 |
No log | 3.9143 | 274 | 0.6952 | 0.7724 | 0.6952 | 0.8338 |
No log | 3.9429 | 276 | 0.6869 | 0.7552 | 0.6869 | 0.8288 |
No log | 3.9714 | 278 | 0.6881 | 0.7763 | 0.6881 | 0.8295 |
No log | 4.0 | 280 | 0.7432 | 0.7162 | 0.7432 | 0.8621 |
No log | 4.0286 | 282 | 0.7804 | 0.6806 | 0.7804 | 0.8834 |
No log | 4.0571 | 284 | 0.8592 | 0.6620 | 0.8592 | 0.9269 |
No log | 4.0857 | 286 | 0.8150 | 0.6525 | 0.8150 | 0.9028 |
No log | 4.1143 | 288 | 0.7322 | 0.7234 | 0.7322 | 0.8557 |
No log | 4.1429 | 290 | 0.6974 | 0.7310 | 0.6974 | 0.8351 |
No log | 4.1714 | 292 | 0.7461 | 0.6939 | 0.7461 | 0.8638 |
No log | 4.2 | 294 | 0.8205 | 0.6581 | 0.8205 | 0.9058 |
No log | 4.2286 | 296 | 0.8738 | 0.6494 | 0.8738 | 0.9348 |
No log | 4.2571 | 298 | 0.8245 | 0.6711 | 0.8245 | 0.9080 |
No log | 4.2857 | 300 | 0.7546 | 0.7432 | 0.7546 | 0.8687 |
No log | 4.3143 | 302 | 0.7457 | 0.7451 | 0.7457 | 0.8636 |
No log | 4.3429 | 304 | 0.8255 | 0.7421 | 0.8255 | 0.9086 |
No log | 4.3714 | 306 | 0.8731 | 0.7456 | 0.8731 | 0.9344 |
No log | 4.4 | 308 | 0.8232 | 0.7456 | 0.8232 | 0.9073 |
No log | 4.4286 | 310 | 0.7224 | 0.7421 | 0.7224 | 0.8500 |
No log | 4.4571 | 312 | 0.6073 | 0.7619 | 0.6073 | 0.7793 |
No log | 4.4857 | 314 | 0.5954 | 0.7571 | 0.5954 | 0.7716 |
No log | 4.5143 | 316 | 0.6596 | 0.7338 | 0.6596 | 0.8122 |
No log | 4.5429 | 318 | 0.6876 | 0.7111 | 0.6876 | 0.8292 |
No log | 4.5714 | 320 | 0.6776 | 0.7111 | 0.6776 | 0.8232 |
No log | 4.6 | 322 | 0.7374 | 0.7133 | 0.7374 | 0.8587 |
No log | 4.6286 | 324 | 0.7473 | 0.6986 | 0.7473 | 0.8645 |
No log | 4.6571 | 326 | 0.7768 | 0.6759 | 0.7768 | 0.8813 |
No log | 4.6857 | 328 | 0.6953 | 0.7517 | 0.6953 | 0.8339 |
No log | 4.7143 | 330 | 0.6544 | 0.7517 | 0.6544 | 0.8089 |
No log | 4.7429 | 332 | 0.6472 | 0.7848 | 0.6472 | 0.8045 |
No log | 4.7714 | 334 | 0.6375 | 0.7702 | 0.6375 | 0.7984 |
No log | 4.8 | 336 | 0.6012 | 0.7643 | 0.6012 | 0.7754 |
No log | 4.8286 | 338 | 0.6194 | 0.7702 | 0.6194 | 0.7870 |
No log | 4.8571 | 340 | 0.6931 | 0.7636 | 0.6931 | 0.8325 |
No log | 4.8857 | 342 | 0.6856 | 0.7692 | 0.6856 | 0.8280 |
No log | 4.9143 | 344 | 0.6243 | 0.7651 | 0.6243 | 0.7901 |
No log | 4.9429 | 346 | 0.5785 | 0.8026 | 0.5785 | 0.7606 |
No log | 4.9714 | 348 | 0.5595 | 0.8050 | 0.5595 | 0.7480 |
No log | 5.0 | 350 | 0.7007 | 0.7849 | 0.7007 | 0.8371 |
No log | 5.0286 | 352 | 0.7554 | 0.7701 | 0.7554 | 0.8691 |
No log | 5.0571 | 354 | 0.6024 | 0.8066 | 0.6024 | 0.7761 |
No log | 5.0857 | 356 | 0.4968 | 0.8125 | 0.4968 | 0.7048 |
No log | 5.1143 | 358 | 0.7060 | 0.7517 | 0.7060 | 0.8402 |
No log | 5.1429 | 360 | 0.7117 | 0.7397 | 0.7117 | 0.8436 |
No log | 5.1714 | 362 | 0.5448 | 0.8 | 0.5448 | 0.7381 |
No log | 5.2 | 364 | 0.5509 | 0.7898 | 0.5509 | 0.7422 |
No log | 5.2286 | 366 | 0.6423 | 0.8025 | 0.6423 | 0.8014 |
No log | 5.2571 | 368 | 0.5814 | 0.8272 | 0.5814 | 0.7625 |
No log | 5.2857 | 370 | 0.5326 | 0.7949 | 0.5326 | 0.7298 |
No log | 5.3143 | 372 | 0.5593 | 0.7949 | 0.5593 | 0.7479 |
No log | 5.3429 | 374 | 0.5977 | 0.7975 | 0.5977 | 0.7731 |
No log | 5.3714 | 376 | 0.6544 | 0.7975 | 0.6544 | 0.8089 |
No log | 5.4 | 378 | 0.6728 | 0.7771 | 0.6728 | 0.8202 |
No log | 5.4286 | 380 | 0.6340 | 0.7582 | 0.6340 | 0.7962 |
No log | 5.4571 | 382 | 0.5780 | 0.7763 | 0.5780 | 0.7602 |
No log | 5.4857 | 384 | 0.6022 | 0.7871 | 0.6022 | 0.7760 |
No log | 5.5143 | 386 | 0.6778 | 0.7662 | 0.6778 | 0.8233 |
No log | 5.5429 | 388 | 0.7628 | 0.6753 | 0.7628 | 0.8734 |
No log | 5.5714 | 390 | 0.8416 | 0.6447 | 0.8416 | 0.9174 |
No log | 5.6 | 392 | 0.7643 | 0.6667 | 0.7643 | 0.8742 |
No log | 5.6286 | 394 | 0.7216 | 0.7448 | 0.7216 | 0.8494 |
No log | 5.6571 | 396 | 0.6691 | 0.7733 | 0.6691 | 0.8180 |
No log | 5.6857 | 398 | 0.6799 | 0.7805 | 0.6799 | 0.8245 |
No log | 5.7143 | 400 | 0.7568 | 0.7283 | 0.7568 | 0.8699 |
No log | 5.7429 | 402 | 0.8073 | 0.7191 | 0.8073 | 0.8985 |
No log | 5.7714 | 404 | 0.7185 | 0.7614 | 0.7185 | 0.8476 |
No log | 5.8 | 406 | 0.6101 | 0.8205 | 0.6101 | 0.7811 |
No log | 5.8286 | 408 | 0.6861 | 0.7286 | 0.6861 | 0.8283 |
No log | 5.8571 | 410 | 0.7583 | 0.7338 | 0.7583 | 0.8708 |
No log | 5.8857 | 412 | 0.7571 | 0.7338 | 0.7571 | 0.8701 |
No log | 5.9143 | 414 | 0.7099 | 0.7429 | 0.7099 | 0.8425 |
No log | 5.9429 | 416 | 0.7587 | 0.6897 | 0.7587 | 0.8710 |
No log | 5.9714 | 418 | 0.8702 | 0.6887 | 0.8702 | 0.9329 |
No log | 6.0 | 420 | 0.8389 | 0.6832 | 0.8389 | 0.9159 |
No log | 6.0286 | 422 | 0.6974 | 0.7771 | 0.6974 | 0.8351 |
No log | 6.0571 | 424 | 0.5809 | 0.7815 | 0.5809 | 0.7622 |
No log | 6.0857 | 426 | 0.6146 | 0.7692 | 0.6146 | 0.7840 |
No log | 6.1143 | 428 | 0.6754 | 0.7299 | 0.6754 | 0.8218 |
No log | 6.1429 | 430 | 0.7157 | 0.7353 | 0.7157 | 0.8460 |
No log | 6.1714 | 432 | 0.7740 | 0.7034 | 0.7740 | 0.8798 |
No log | 6.2 | 434 | 0.7423 | 0.7383 | 0.7423 | 0.8616 |
No log | 6.2286 | 436 | 0.6443 | 0.7763 | 0.6443 | 0.8027 |
No log | 6.2571 | 438 | 0.6010 | 0.8026 | 0.6010 | 0.7752 |
No log | 6.2857 | 440 | 0.5973 | 0.7922 | 0.5973 | 0.7728 |
No log | 6.3143 | 442 | 0.5843 | 0.8026 | 0.5843 | 0.7644 |
No log | 6.3429 | 444 | 0.6174 | 0.7947 | 0.6174 | 0.7858 |
No log | 6.3714 | 446 | 0.6793 | 0.7662 | 0.6793 | 0.8242 |
No log | 6.4 | 448 | 0.6811 | 0.76 | 0.6811 | 0.8253 |
No log | 6.4286 | 450 | 0.6409 | 0.7733 | 0.6409 | 0.8006 |
No log | 6.4571 | 452 | 0.6133 | 0.7947 | 0.6133 | 0.7831 |
No log | 6.4857 | 454 | 0.6104 | 0.7867 | 0.6104 | 0.7813 |
No log | 6.5143 | 456 | 0.6390 | 0.7651 | 0.6390 | 0.7994 |
No log | 6.5429 | 458 | 0.7097 | 0.75 | 0.7097 | 0.8424 |
No log | 6.5714 | 460 | 0.7363 | 0.7742 | 0.7363 | 0.8581 |
No log | 6.6 | 462 | 0.7342 | 0.7417 | 0.7342 | 0.8569 |
No log | 6.6286 | 464 | 0.6794 | 0.7467 | 0.6794 | 0.8243 |
No log | 6.6571 | 466 | 0.6565 | 0.7586 | 0.6565 | 0.8103 |
No log | 6.6857 | 468 | 0.6634 | 0.7619 | 0.6634 | 0.8145 |
No log | 6.7143 | 470 | 0.6661 | 0.7619 | 0.6661 | 0.8162 |
No log | 6.7429 | 472 | 0.7111 | 0.7550 | 0.7111 | 0.8433 |
No log | 6.7714 | 474 | 0.7352 | 0.7368 | 0.7352 | 0.8574 |
No log | 6.8 | 476 | 0.7759 | 0.7582 | 0.7759 | 0.8809 |
No log | 6.8286 | 478 | 0.7569 | 0.7582 | 0.7569 | 0.8700 |
No log | 6.8571 | 480 | 0.7218 | 0.7368 | 0.7218 | 0.8496 |
No log | 6.8857 | 482 | 0.7113 | 0.7662 | 0.7113 | 0.8434 |
No log | 6.9143 | 484 | 0.6569 | 0.7308 | 0.6569 | 0.8105 |
No log | 6.9429 | 486 | 0.6394 | 0.7901 | 0.6394 | 0.7996 |
No log | 6.9714 | 488 | 0.6180 | 0.7654 | 0.6180 | 0.7862 |
No log | 7.0 | 490 | 0.6376 | 0.7758 | 0.6376 | 0.7985 |
No log | 7.0286 | 492 | 0.6527 | 0.7805 | 0.6527 | 0.8079 |
No log | 7.0571 | 494 | 0.6656 | 0.7799 | 0.6656 | 0.8159 |
No log | 7.0857 | 496 | 0.7415 | 0.7625 | 0.7415 | 0.8611 |
No log | 7.1143 | 498 | 0.7630 | 0.7547 | 0.7630 | 0.8735 |
0.3648 | 7.1429 | 500 | 0.7161 | 0.7582 | 0.7161 | 0.8462 |
0.3648 | 7.1714 | 502 | 0.6264 | 0.7815 | 0.6264 | 0.7914 |
0.3648 | 7.2 | 504 | 0.5807 | 0.7639 | 0.5807 | 0.7621 |
0.3648 | 7.2286 | 506 | 0.5862 | 0.7724 | 0.5862 | 0.7656 |
0.3648 | 7.2571 | 508 | 0.5708 | 0.7843 | 0.5708 | 0.7555 |
0.3648 | 7.2857 | 510 | 0.5794 | 0.8025 | 0.5794 | 0.7612 |
0.3648 | 7.3143 | 512 | 0.6556 | 0.7831 | 0.6556 | 0.8097 |
0.3648 | 7.3429 | 514 | 0.7783 | 0.7394 | 0.7783 | 0.8822 |
0.3648 | 7.3714 | 516 | 0.8181 | 0.7081 | 0.8181 | 0.9045 |
0.3648 | 7.4 | 518 | 0.7448 | 0.7403 | 0.7448 | 0.8630 |
0.3648 | 7.4286 | 520 | 0.7253 | 0.7517 | 0.7253 | 0.8516 |
0.3648 | 7.4571 | 522 | 0.6886 | 0.7347 | 0.6886 | 0.8298 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_task1_organization
Base model
aubmindlab/bert-base-arabertv02