ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_task5_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: 0.6512
- Qwk: 0.7261
- Mse: 0.6512
- Rmse: 0.8070
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 | 0.0488 | 2 | 2.4036 | 0.0144 | 2.4036 | 1.5503 |
| No log | 0.0976 | 4 | 1.7401 | 0.1026 | 1.7401 | 1.3191 |
| No log | 0.1463 | 6 | 1.6614 | 0.0583 | 1.6614 | 1.2890 |
| No log | 0.1951 | 8 | 1.5960 | 0.1224 | 1.5960 | 1.2633 |
| No log | 0.2439 | 10 | 1.4494 | 0.1796 | 1.4494 | 1.2039 |
| No log | 0.2927 | 12 | 1.3154 | 0.1764 | 1.3154 | 1.1469 |
| No log | 0.3415 | 14 | 1.2657 | 0.1601 | 1.2657 | 1.1250 |
| No log | 0.3902 | 16 | 1.2312 | 0.1842 | 1.2312 | 1.1096 |
| No log | 0.4390 | 18 | 1.1792 | 0.2119 | 1.1792 | 1.0859 |
| No log | 0.4878 | 20 | 1.1570 | 0.2355 | 1.1570 | 1.0756 |
| No log | 0.5366 | 22 | 1.2329 | 0.3789 | 1.2329 | 1.1104 |
| No log | 0.5854 | 24 | 1.2167 | 0.4190 | 1.2167 | 1.1031 |
| No log | 0.6341 | 26 | 1.1021 | 0.3964 | 1.1021 | 1.0498 |
| No log | 0.6829 | 28 | 1.0330 | 0.3731 | 1.0330 | 1.0164 |
| No log | 0.7317 | 30 | 1.0070 | 0.4080 | 1.0070 | 1.0035 |
| No log | 0.7805 | 32 | 0.9791 | 0.4396 | 0.9791 | 0.9895 |
| No log | 0.8293 | 34 | 1.0022 | 0.5156 | 1.0022 | 1.0011 |
| No log | 0.8780 | 36 | 1.0271 | 0.5305 | 1.0271 | 1.0135 |
| No log | 0.9268 | 38 | 1.0051 | 0.5305 | 1.0051 | 1.0025 |
| No log | 0.9756 | 40 | 0.9250 | 0.5097 | 0.9250 | 0.9617 |
| No log | 1.0244 | 42 | 0.8761 | 0.5143 | 0.8761 | 0.9360 |
| No log | 1.0732 | 44 | 0.9079 | 0.4938 | 0.9079 | 0.9528 |
| No log | 1.1220 | 46 | 0.8852 | 0.5355 | 0.8852 | 0.9409 |
| No log | 1.1707 | 48 | 0.8704 | 0.5140 | 0.8704 | 0.9330 |
| No log | 1.2195 | 50 | 1.1465 | 0.4955 | 1.1465 | 1.0708 |
| No log | 1.2683 | 52 | 1.1463 | 0.5046 | 1.1463 | 1.0707 |
| No log | 1.3171 | 54 | 0.9686 | 0.5153 | 0.9686 | 0.9842 |
| No log | 1.3659 | 56 | 1.0092 | 0.5009 | 1.0092 | 1.0046 |
| No log | 1.4146 | 58 | 0.9839 | 0.5078 | 0.9839 | 0.9919 |
| No log | 1.4634 | 60 | 0.9616 | 0.5052 | 0.9616 | 0.9806 |
| No log | 1.5122 | 62 | 0.9559 | 0.5039 | 0.9559 | 0.9777 |
| No log | 1.5610 | 64 | 0.9865 | 0.5329 | 0.9865 | 0.9933 |
| No log | 1.6098 | 66 | 1.0114 | 0.5448 | 1.0114 | 1.0057 |
| No log | 1.6585 | 68 | 0.9515 | 0.5617 | 0.9515 | 0.9755 |
| No log | 1.7073 | 70 | 0.9306 | 0.5567 | 0.9306 | 0.9647 |
| No log | 1.7561 | 72 | 0.7878 | 0.6364 | 0.7878 | 0.8876 |
| No log | 1.8049 | 74 | 0.7944 | 0.5869 | 0.7944 | 0.8913 |
| No log | 1.8537 | 76 | 0.8223 | 0.5752 | 0.8223 | 0.9068 |
| No log | 1.9024 | 78 | 0.7889 | 0.6255 | 0.7889 | 0.8882 |
| No log | 1.9512 | 80 | 0.8189 | 0.5620 | 0.8189 | 0.9049 |
| No log | 2.0 | 82 | 0.9124 | 0.5257 | 0.9124 | 0.9552 |
| No log | 2.0488 | 84 | 1.0048 | 0.5638 | 1.0048 | 1.0024 |
| No log | 2.0976 | 86 | 0.9457 | 0.5567 | 0.9457 | 0.9725 |
| No log | 2.1463 | 88 | 0.8679 | 0.6101 | 0.8679 | 0.9316 |
| No log | 2.1951 | 90 | 0.7590 | 0.6208 | 0.7590 | 0.8712 |
| No log | 2.2439 | 92 | 0.7039 | 0.6549 | 0.7039 | 0.8390 |
| No log | 2.2927 | 94 | 0.6865 | 0.6772 | 0.6865 | 0.8286 |
| No log | 2.3415 | 96 | 0.6783 | 0.6876 | 0.6783 | 0.8236 |
| No log | 2.3902 | 98 | 0.6886 | 0.6931 | 0.6886 | 0.8298 |
| No log | 2.4390 | 100 | 0.7032 | 0.7101 | 0.7032 | 0.8386 |
| No log | 2.4878 | 102 | 0.7051 | 0.7015 | 0.7051 | 0.8397 |
| No log | 2.5366 | 104 | 0.7134 | 0.7116 | 0.7134 | 0.8447 |
| No log | 2.5854 | 106 | 0.6968 | 0.6954 | 0.6968 | 0.8347 |
| No log | 2.6341 | 108 | 0.7022 | 0.6903 | 0.7022 | 0.8380 |
| No log | 2.6829 | 110 | 0.7168 | 0.6885 | 0.7168 | 0.8466 |
| No log | 2.7317 | 112 | 0.7479 | 0.7004 | 0.7479 | 0.8648 |
| No log | 2.7805 | 114 | 0.7666 | 0.6526 | 0.7666 | 0.8756 |
| No log | 2.8293 | 116 | 0.7647 | 0.6785 | 0.7647 | 0.8745 |
| No log | 2.8780 | 118 | 0.7362 | 0.6895 | 0.7362 | 0.8580 |
| No log | 2.9268 | 120 | 0.6799 | 0.6891 | 0.6799 | 0.8245 |
| No log | 2.9756 | 122 | 0.6808 | 0.6600 | 0.6808 | 0.8251 |
| No log | 3.0244 | 124 | 0.6852 | 0.6270 | 0.6852 | 0.8278 |
| No log | 3.0732 | 126 | 0.6959 | 0.6716 | 0.6959 | 0.8342 |
| No log | 3.1220 | 128 | 0.7188 | 0.6789 | 0.7188 | 0.8478 |
| No log | 3.1707 | 130 | 0.7451 | 0.6908 | 0.7451 | 0.8632 |
| No log | 3.2195 | 132 | 0.8230 | 0.7050 | 0.8230 | 0.9072 |
| No log | 3.2683 | 134 | 0.7590 | 0.7295 | 0.7590 | 0.8712 |
| No log | 3.3171 | 136 | 0.6708 | 0.7308 | 0.6708 | 0.8190 |
| No log | 3.3659 | 138 | 0.6433 | 0.7192 | 0.6433 | 0.8021 |
| No log | 3.4146 | 140 | 0.6441 | 0.7190 | 0.6441 | 0.8025 |
| No log | 3.4634 | 142 | 0.7459 | 0.7393 | 0.7459 | 0.8637 |
| No log | 3.5122 | 144 | 0.8158 | 0.7296 | 0.8158 | 0.9032 |
| No log | 3.5610 | 146 | 0.7074 | 0.7272 | 0.7074 | 0.8410 |
| No log | 3.6098 | 148 | 0.6098 | 0.7276 | 0.6098 | 0.7809 |
| No log | 3.6585 | 150 | 0.5709 | 0.7126 | 0.5709 | 0.7556 |
| No log | 3.7073 | 152 | 0.5717 | 0.7026 | 0.5717 | 0.7561 |
| No log | 3.7561 | 154 | 0.5647 | 0.7010 | 0.5647 | 0.7515 |
| No log | 3.8049 | 156 | 0.6560 | 0.7063 | 0.6560 | 0.8099 |
| No log | 3.8537 | 158 | 0.7709 | 0.7226 | 0.7709 | 0.8780 |
| No log | 3.9024 | 160 | 0.7765 | 0.7217 | 0.7765 | 0.8812 |
| No log | 3.9512 | 162 | 0.6569 | 0.7188 | 0.6569 | 0.8105 |
| No log | 4.0 | 164 | 0.5871 | 0.7186 | 0.5871 | 0.7662 |
| No log | 4.0488 | 166 | 0.5819 | 0.6825 | 0.5819 | 0.7628 |
| No log | 4.0976 | 168 | 0.5853 | 0.6994 | 0.5853 | 0.7651 |
| No log | 4.1463 | 170 | 0.6252 | 0.7205 | 0.6252 | 0.7907 |
| No log | 4.1951 | 172 | 0.7329 | 0.6904 | 0.7329 | 0.8561 |
| No log | 4.2439 | 174 | 0.7523 | 0.6904 | 0.7523 | 0.8674 |
| No log | 4.2927 | 176 | 0.6862 | 0.7173 | 0.6862 | 0.8283 |
| No log | 4.3415 | 178 | 0.5988 | 0.7049 | 0.5988 | 0.7738 |
| No log | 4.3902 | 180 | 0.5871 | 0.6865 | 0.5871 | 0.7662 |
| No log | 4.4390 | 182 | 0.6013 | 0.6897 | 0.6013 | 0.7754 |
| No log | 4.4878 | 184 | 0.5894 | 0.6949 | 0.5894 | 0.7677 |
| No log | 4.5366 | 186 | 0.5725 | 0.7066 | 0.5725 | 0.7566 |
| No log | 4.5854 | 188 | 0.6413 | 0.7555 | 0.6413 | 0.8008 |
| No log | 4.6341 | 190 | 0.8267 | 0.6961 | 0.8267 | 0.9092 |
| No log | 4.6829 | 192 | 0.9010 | 0.6654 | 0.9010 | 0.9492 |
| No log | 4.7317 | 194 | 0.8300 | 0.6864 | 0.8300 | 0.9110 |
| No log | 4.7805 | 196 | 0.7231 | 0.7435 | 0.7231 | 0.8504 |
| No log | 4.8293 | 198 | 0.6284 | 0.7595 | 0.6284 | 0.7927 |
| No log | 4.8780 | 200 | 0.5955 | 0.7291 | 0.5955 | 0.7717 |
| No log | 4.9268 | 202 | 0.6048 | 0.7417 | 0.6048 | 0.7777 |
| No log | 4.9756 | 204 | 0.6117 | 0.7417 | 0.6117 | 0.7821 |
| No log | 5.0244 | 206 | 0.6257 | 0.7638 | 0.6257 | 0.7910 |
| No log | 5.0732 | 208 | 0.6599 | 0.7474 | 0.6599 | 0.8123 |
| No log | 5.1220 | 210 | 0.7141 | 0.7301 | 0.7141 | 0.8450 |
| No log | 5.1707 | 212 | 0.7100 | 0.7301 | 0.7100 | 0.8426 |
| No log | 5.2195 | 214 | 0.6791 | 0.7293 | 0.6791 | 0.8241 |
| No log | 5.2683 | 216 | 0.6354 | 0.7417 | 0.6354 | 0.7971 |
| No log | 5.3171 | 218 | 0.6097 | 0.6953 | 0.6097 | 0.7808 |
| No log | 5.3659 | 220 | 0.6011 | 0.7001 | 0.6011 | 0.7753 |
| No log | 5.4146 | 222 | 0.5988 | 0.7001 | 0.5988 | 0.7738 |
| No log | 5.4634 | 224 | 0.5992 | 0.7045 | 0.5992 | 0.7741 |
| No log | 5.5122 | 226 | 0.6185 | 0.7164 | 0.6185 | 0.7865 |
| No log | 5.5610 | 228 | 0.6813 | 0.7107 | 0.6813 | 0.8254 |
| No log | 5.6098 | 230 | 0.7367 | 0.7013 | 0.7367 | 0.8583 |
| No log | 5.6585 | 232 | 0.7275 | 0.7013 | 0.7275 | 0.8529 |
| No log | 5.7073 | 234 | 0.7066 | 0.7054 | 0.7066 | 0.8406 |
| No log | 5.7561 | 236 | 0.6634 | 0.6930 | 0.6634 | 0.8145 |
| No log | 5.8049 | 238 | 0.6508 | 0.6926 | 0.6508 | 0.8067 |
| No log | 5.8537 | 240 | 0.6422 | 0.6972 | 0.6422 | 0.8014 |
| No log | 5.9024 | 242 | 0.6362 | 0.7208 | 0.6362 | 0.7976 |
| No log | 5.9512 | 244 | 0.6192 | 0.7454 | 0.6192 | 0.7869 |
| No log | 6.0 | 246 | 0.6140 | 0.7330 | 0.6140 | 0.7836 |
| No log | 6.0488 | 248 | 0.6130 | 0.7330 | 0.6130 | 0.7829 |
| No log | 6.0976 | 250 | 0.6068 | 0.7376 | 0.6068 | 0.7790 |
| No log | 6.1463 | 252 | 0.6101 | 0.7307 | 0.6101 | 0.7811 |
| No log | 6.1951 | 254 | 0.6071 | 0.7353 | 0.6071 | 0.7792 |
| No log | 6.2439 | 256 | 0.5964 | 0.7291 | 0.5964 | 0.7723 |
| No log | 6.2927 | 258 | 0.5930 | 0.7204 | 0.5930 | 0.7701 |
| No log | 6.3415 | 260 | 0.5987 | 0.7204 | 0.5987 | 0.7737 |
| No log | 6.3902 | 262 | 0.5942 | 0.7204 | 0.5942 | 0.7709 |
| No log | 6.4390 | 264 | 0.5883 | 0.7164 | 0.5883 | 0.7670 |
| No log | 6.4878 | 266 | 0.5839 | 0.7170 | 0.5839 | 0.7641 |
| No log | 6.5366 | 268 | 0.5893 | 0.7164 | 0.5893 | 0.7677 |
| No log | 6.5854 | 270 | 0.6071 | 0.7307 | 0.6071 | 0.7792 |
| No log | 6.6341 | 272 | 0.6397 | 0.7518 | 0.6397 | 0.7998 |
| No log | 6.6829 | 274 | 0.6508 | 0.7357 | 0.6508 | 0.8067 |
| No log | 6.7317 | 276 | 0.6534 | 0.7400 | 0.6534 | 0.8084 |
| No log | 6.7805 | 278 | 0.6511 | 0.7476 | 0.6511 | 0.8069 |
| No log | 6.8293 | 280 | 0.6341 | 0.7277 | 0.6341 | 0.7963 |
| No log | 6.8780 | 282 | 0.6157 | 0.7480 | 0.6157 | 0.7846 |
| No log | 6.9268 | 284 | 0.6112 | 0.7441 | 0.6112 | 0.7818 |
| No log | 6.9756 | 286 | 0.6134 | 0.7441 | 0.6134 | 0.7832 |
| No log | 7.0244 | 288 | 0.6207 | 0.7277 | 0.6207 | 0.7879 |
| No log | 7.0732 | 290 | 0.6354 | 0.7357 | 0.6354 | 0.7971 |
| No log | 7.1220 | 292 | 0.6424 | 0.7357 | 0.6424 | 0.8015 |
| No log | 7.1707 | 294 | 0.6596 | 0.7293 | 0.6596 | 0.8122 |
| No log | 7.2195 | 296 | 0.6507 | 0.7417 | 0.6507 | 0.8067 |
| No log | 7.2683 | 298 | 0.6221 | 0.7493 | 0.6221 | 0.7887 |
| No log | 7.3171 | 300 | 0.5938 | 0.7228 | 0.5938 | 0.7706 |
| No log | 7.3659 | 302 | 0.5843 | 0.7067 | 0.5843 | 0.7644 |
| No log | 7.4146 | 304 | 0.5874 | 0.7067 | 0.5874 | 0.7664 |
| No log | 7.4634 | 306 | 0.6031 | 0.7149 | 0.6031 | 0.7766 |
| No log | 7.5122 | 308 | 0.6289 | 0.7369 | 0.6289 | 0.7930 |
| No log | 7.5610 | 310 | 0.6305 | 0.7451 | 0.6305 | 0.7940 |
| No log | 7.6098 | 312 | 0.6399 | 0.7344 | 0.6399 | 0.8000 |
| No log | 7.6585 | 314 | 0.6390 | 0.7344 | 0.6390 | 0.7994 |
| No log | 7.7073 | 316 | 0.6434 | 0.7344 | 0.6434 | 0.8021 |
| No log | 7.7561 | 318 | 0.6554 | 0.7440 | 0.6554 | 0.8095 |
| No log | 7.8049 | 320 | 0.6592 | 0.7440 | 0.6592 | 0.8119 |
| No log | 7.8537 | 322 | 0.6709 | 0.7478 | 0.6709 | 0.8191 |
| No log | 7.9024 | 324 | 0.6817 | 0.7191 | 0.6817 | 0.8257 |
| No log | 7.9512 | 326 | 0.6748 | 0.7234 | 0.6748 | 0.8214 |
| No log | 8.0 | 328 | 0.6671 | 0.7234 | 0.6671 | 0.8168 |
| No log | 8.0488 | 330 | 0.6586 | 0.7322 | 0.6586 | 0.8116 |
| No log | 8.0976 | 332 | 0.6524 | 0.7262 | 0.6524 | 0.8077 |
| No log | 8.1463 | 334 | 0.6575 | 0.7322 | 0.6575 | 0.8109 |
| No log | 8.1951 | 336 | 0.6627 | 0.7196 | 0.6627 | 0.8140 |
| No log | 8.2439 | 338 | 0.6649 | 0.7110 | 0.6649 | 0.8154 |
| No log | 8.2927 | 340 | 0.6546 | 0.7199 | 0.6546 | 0.8091 |
| No log | 8.3415 | 342 | 0.6517 | 0.7199 | 0.6517 | 0.8073 |
| No log | 8.3902 | 344 | 0.6588 | 0.7384 | 0.6588 | 0.8116 |
| No log | 8.4390 | 346 | 0.6620 | 0.7339 | 0.6620 | 0.8137 |
| No log | 8.4878 | 348 | 0.6576 | 0.7338 | 0.6576 | 0.8109 |
| No log | 8.5366 | 350 | 0.6474 | 0.7307 | 0.6474 | 0.8046 |
| No log | 8.5854 | 352 | 0.6432 | 0.7307 | 0.6432 | 0.8020 |
| No log | 8.6341 | 354 | 0.6434 | 0.7353 | 0.6434 | 0.8021 |
| No log | 8.6829 | 356 | 0.6464 | 0.7514 | 0.6464 | 0.8040 |
| No log | 8.7317 | 358 | 0.6465 | 0.7328 | 0.6465 | 0.8040 |
| No log | 8.7805 | 360 | 0.6425 | 0.7247 | 0.6425 | 0.8016 |
| No log | 8.8293 | 362 | 0.6438 | 0.7247 | 0.6438 | 0.8024 |
| No log | 8.8780 | 364 | 0.6511 | 0.7387 | 0.6511 | 0.8069 |
| No log | 8.9268 | 366 | 0.6591 | 0.7364 | 0.6591 | 0.8118 |
| No log | 8.9756 | 368 | 0.6634 | 0.7518 | 0.6634 | 0.8145 |
| No log | 9.0244 | 370 | 0.6692 | 0.7395 | 0.6692 | 0.8181 |
| No log | 9.0732 | 372 | 0.6753 | 0.7388 | 0.6753 | 0.8217 |
| No log | 9.1220 | 374 | 0.6791 | 0.7388 | 0.6791 | 0.8241 |
| No log | 9.1707 | 376 | 0.6790 | 0.7388 | 0.6790 | 0.8240 |
| No log | 9.2195 | 378 | 0.6797 | 0.7388 | 0.6797 | 0.8245 |
| No log | 9.2683 | 380 | 0.6853 | 0.7388 | 0.6853 | 0.8278 |
| No log | 9.3171 | 382 | 0.6922 | 0.7228 | 0.6922 | 0.8320 |
| No log | 9.3659 | 384 | 0.6948 | 0.7185 | 0.6948 | 0.8336 |
| No log | 9.4146 | 386 | 0.6942 | 0.7185 | 0.6942 | 0.8332 |
| No log | 9.4634 | 388 | 0.6887 | 0.7345 | 0.6887 | 0.8299 |
| No log | 9.5122 | 390 | 0.6846 | 0.7388 | 0.6846 | 0.8274 |
| No log | 9.5610 | 392 | 0.6777 | 0.7388 | 0.6777 | 0.8232 |
| No log | 9.6098 | 394 | 0.6728 | 0.7388 | 0.6728 | 0.8202 |
| No log | 9.6585 | 396 | 0.6687 | 0.7388 | 0.6687 | 0.8177 |
| No log | 9.7073 | 398 | 0.6642 | 0.7512 | 0.6642 | 0.8150 |
| No log | 9.7561 | 400 | 0.6595 | 0.7316 | 0.6595 | 0.8121 |
| No log | 9.8049 | 402 | 0.6557 | 0.7277 | 0.6557 | 0.8097 |
| No log | 9.8537 | 404 | 0.6536 | 0.7300 | 0.6536 | 0.8084 |
| No log | 9.9024 | 406 | 0.6523 | 0.7261 | 0.6523 | 0.8076 |
| No log | 9.9512 | 408 | 0.6513 | 0.7261 | 0.6513 | 0.8070 |
| No log | 10.0 | 410 | 0.6512 | 0.7261 | 0.6512 | 0.8070 |
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_FineTuningAraBERT_run3_AugV5_k11_task5_organization
Base model
aubmindlab/bert-base-arabertv02