ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k16_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: 0.9004
- Qwk: 0.4434
- Mse: 0.9004
- Rmse: 0.9489
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 | 0.0488 | 2 | 4.1074 | 0.0069 | 4.1074 | 2.0267 |
No log | 0.0976 | 4 | 2.0961 | 0.1002 | 2.0961 | 1.4478 |
No log | 0.1463 | 6 | 1.4143 | 0.0143 | 1.4143 | 1.1892 |
No log | 0.1951 | 8 | 1.0876 | 0.2221 | 1.0876 | 1.0429 |
No log | 0.2439 | 10 | 1.0962 | 0.1725 | 1.0962 | 1.0470 |
No log | 0.2927 | 12 | 1.4127 | -0.0278 | 1.4127 | 1.1886 |
No log | 0.3415 | 14 | 1.7442 | -0.0398 | 1.7442 | 1.3207 |
No log | 0.3902 | 16 | 1.5107 | -0.0560 | 1.5107 | 1.2291 |
No log | 0.4390 | 18 | 1.1483 | 0.1119 | 1.1483 | 1.0716 |
No log | 0.4878 | 20 | 1.0804 | 0.2140 | 1.0804 | 1.0394 |
No log | 0.5366 | 22 | 1.2017 | 0.1658 | 1.2017 | 1.0962 |
No log | 0.5854 | 24 | 1.5324 | 0.0 | 1.5324 | 1.2379 |
No log | 0.6341 | 26 | 1.5029 | 0.0 | 1.5029 | 1.2259 |
No log | 0.6829 | 28 | 1.2931 | 0.0380 | 1.2931 | 1.1371 |
No log | 0.7317 | 30 | 1.1481 | 0.1148 | 1.1481 | 1.0715 |
No log | 0.7805 | 32 | 1.0776 | 0.1989 | 1.0776 | 1.0381 |
No log | 0.8293 | 34 | 1.0707 | 0.1891 | 1.0707 | 1.0347 |
No log | 0.8780 | 36 | 1.0672 | 0.1131 | 1.0672 | 1.0331 |
No log | 0.9268 | 38 | 1.0589 | 0.1755 | 1.0589 | 1.0290 |
No log | 0.9756 | 40 | 1.0625 | 0.1713 | 1.0625 | 1.0308 |
No log | 1.0244 | 42 | 1.1155 | 0.1509 | 1.1155 | 1.0562 |
No log | 1.0732 | 44 | 1.1576 | 0.2004 | 1.1576 | 1.0759 |
No log | 1.1220 | 46 | 1.0573 | 0.2367 | 1.0573 | 1.0283 |
No log | 1.1707 | 48 | 0.9751 | 0.2390 | 0.9751 | 0.9875 |
No log | 1.2195 | 50 | 1.1348 | 0.2632 | 1.1348 | 1.0653 |
No log | 1.2683 | 52 | 1.1737 | 0.0888 | 1.1737 | 1.0834 |
No log | 1.3171 | 54 | 1.1011 | 0.1233 | 1.1011 | 1.0493 |
No log | 1.3659 | 56 | 1.0346 | 0.1962 | 1.0346 | 1.0171 |
No log | 1.4146 | 58 | 1.0134 | 0.4186 | 1.0134 | 1.0067 |
No log | 1.4634 | 60 | 1.0019 | 0.3272 | 1.0019 | 1.0009 |
No log | 1.5122 | 62 | 0.9739 | 0.2716 | 0.9739 | 0.9869 |
No log | 1.5610 | 64 | 0.9885 | 0.1989 | 0.9885 | 0.9942 |
No log | 1.6098 | 66 | 1.0444 | 0.1699 | 1.0444 | 1.0220 |
No log | 1.6585 | 68 | 1.0804 | 0.1826 | 1.0804 | 1.0394 |
No log | 1.7073 | 70 | 1.0548 | 0.3278 | 1.0548 | 1.0270 |
No log | 1.7561 | 72 | 0.9483 | 0.2932 | 0.9483 | 0.9738 |
No log | 1.8049 | 74 | 0.9363 | 0.3896 | 0.9363 | 0.9676 |
No log | 1.8537 | 76 | 1.0326 | 0.3119 | 1.0326 | 1.0162 |
No log | 1.9024 | 78 | 1.2722 | 0.2149 | 1.2722 | 1.1279 |
No log | 1.9512 | 80 | 1.3866 | 0.1790 | 1.3866 | 1.1775 |
No log | 2.0 | 82 | 1.1932 | 0.3310 | 1.1932 | 1.0923 |
No log | 2.0488 | 84 | 0.9046 | 0.3973 | 0.9046 | 0.9511 |
No log | 2.0976 | 86 | 0.8300 | 0.3642 | 0.8300 | 0.9111 |
No log | 2.1463 | 88 | 0.8375 | 0.4628 | 0.8375 | 0.9152 |
No log | 2.1951 | 90 | 1.0469 | 0.4222 | 1.0469 | 1.0232 |
No log | 2.2439 | 92 | 1.4173 | 0.2424 | 1.4173 | 1.1905 |
No log | 2.2927 | 94 | 1.3344 | 0.2381 | 1.3344 | 1.1552 |
No log | 2.3415 | 96 | 0.9723 | 0.4563 | 0.9723 | 0.9861 |
No log | 2.3902 | 98 | 0.8815 | 0.3957 | 0.8815 | 0.9389 |
No log | 2.4390 | 100 | 0.9373 | 0.4681 | 0.9373 | 0.9681 |
No log | 2.4878 | 102 | 1.0961 | 0.3283 | 1.0961 | 1.0469 |
No log | 2.5366 | 104 | 1.2547 | 0.2970 | 1.2547 | 1.1201 |
No log | 2.5854 | 106 | 1.1644 | 0.3478 | 1.1644 | 1.0791 |
No log | 2.6341 | 108 | 0.9187 | 0.4291 | 0.9187 | 0.9585 |
No log | 2.6829 | 110 | 0.8502 | 0.2742 | 0.8502 | 0.9220 |
No log | 2.7317 | 112 | 0.8317 | 0.3052 | 0.8317 | 0.9120 |
No log | 2.7805 | 114 | 0.8840 | 0.4115 | 0.8840 | 0.9402 |
No log | 2.8293 | 116 | 1.2435 | 0.2863 | 1.2435 | 1.1151 |
No log | 2.8780 | 118 | 1.5097 | 0.2396 | 1.5097 | 1.2287 |
No log | 2.9268 | 120 | 1.3055 | 0.2898 | 1.3055 | 1.1426 |
No log | 2.9756 | 122 | 0.9309 | 0.4455 | 0.9309 | 0.9648 |
No log | 3.0244 | 124 | 0.7905 | 0.4547 | 0.7905 | 0.8891 |
No log | 3.0732 | 126 | 0.8068 | 0.5425 | 0.8068 | 0.8982 |
No log | 3.1220 | 128 | 0.7926 | 0.4676 | 0.7926 | 0.8903 |
No log | 3.1707 | 130 | 0.8776 | 0.4943 | 0.8776 | 0.9368 |
No log | 3.2195 | 132 | 1.0752 | 0.3724 | 1.0752 | 1.0369 |
No log | 3.2683 | 134 | 1.1722 | 0.2934 | 1.1722 | 1.0827 |
No log | 3.3171 | 136 | 1.0457 | 0.4186 | 1.0457 | 1.0226 |
No log | 3.3659 | 138 | 0.9205 | 0.4423 | 0.9205 | 0.9594 |
No log | 3.4146 | 140 | 0.8029 | 0.4759 | 0.8029 | 0.8960 |
No log | 3.4634 | 142 | 0.8065 | 0.4759 | 0.8065 | 0.8980 |
No log | 3.5122 | 144 | 0.9074 | 0.4575 | 0.9074 | 0.9526 |
No log | 3.5610 | 146 | 1.1225 | 0.3385 | 1.1225 | 1.0595 |
No log | 3.6098 | 148 | 1.0858 | 0.3984 | 1.0858 | 1.0420 |
No log | 3.6585 | 150 | 0.9129 | 0.4807 | 0.9129 | 0.9554 |
No log | 3.7073 | 152 | 0.8006 | 0.4898 | 0.8006 | 0.8948 |
No log | 3.7561 | 154 | 0.7975 | 0.4557 | 0.7975 | 0.8930 |
No log | 3.8049 | 156 | 0.7982 | 0.4557 | 0.7982 | 0.8934 |
No log | 3.8537 | 158 | 0.8152 | 0.4660 | 0.8152 | 0.9029 |
No log | 3.9024 | 160 | 0.8552 | 0.4511 | 0.8552 | 0.9248 |
No log | 3.9512 | 162 | 0.9506 | 0.4478 | 0.9506 | 0.9750 |
No log | 4.0 | 164 | 1.1274 | 0.3461 | 1.1274 | 1.0618 |
No log | 4.0488 | 166 | 1.1434 | 0.3569 | 1.1434 | 1.0693 |
No log | 4.0976 | 168 | 1.0798 | 0.4255 | 1.0798 | 1.0391 |
No log | 4.1463 | 170 | 1.0036 | 0.3775 | 1.0036 | 1.0018 |
No log | 4.1951 | 172 | 1.0440 | 0.3846 | 1.0440 | 1.0218 |
No log | 4.2439 | 174 | 1.0140 | 0.4151 | 1.0140 | 1.0070 |
No log | 4.2927 | 176 | 0.9079 | 0.3902 | 0.9079 | 0.9529 |
No log | 4.3415 | 178 | 0.7848 | 0.5113 | 0.7848 | 0.8859 |
No log | 4.3902 | 180 | 0.7548 | 0.5156 | 0.7548 | 0.8688 |
No log | 4.4390 | 182 | 0.7603 | 0.5002 | 0.7603 | 0.8720 |
No log | 4.4878 | 184 | 0.8239 | 0.4815 | 0.8239 | 0.9077 |
No log | 4.5366 | 186 | 0.8955 | 0.4581 | 0.8955 | 0.9463 |
No log | 4.5854 | 188 | 0.8806 | 0.4807 | 0.8806 | 0.9384 |
No log | 4.6341 | 190 | 0.8228 | 0.5366 | 0.8228 | 0.9071 |
No log | 4.6829 | 192 | 0.7402 | 0.5135 | 0.7402 | 0.8604 |
No log | 4.7317 | 194 | 0.7452 | 0.5069 | 0.7452 | 0.8632 |
No log | 4.7805 | 196 | 0.8098 | 0.3577 | 0.8098 | 0.8999 |
No log | 4.8293 | 198 | 0.7750 | 0.3537 | 0.7750 | 0.8803 |
No log | 4.8780 | 200 | 0.7765 | 0.4743 | 0.7765 | 0.8812 |
No log | 4.9268 | 202 | 0.8982 | 0.4695 | 0.8982 | 0.9478 |
No log | 4.9756 | 204 | 0.9659 | 0.4167 | 0.9659 | 0.9828 |
No log | 5.0244 | 206 | 1.0791 | 0.4162 | 1.0791 | 1.0388 |
No log | 5.0732 | 208 | 1.1067 | 0.4152 | 1.1067 | 1.0520 |
No log | 5.1220 | 210 | 0.9508 | 0.3959 | 0.9508 | 0.9751 |
No log | 5.1707 | 212 | 0.9138 | 0.3897 | 0.9138 | 0.9559 |
No log | 5.2195 | 214 | 0.9379 | 0.3862 | 0.9379 | 0.9685 |
No log | 5.2683 | 216 | 1.0930 | 0.3928 | 1.0930 | 1.0455 |
No log | 5.3171 | 218 | 1.1947 | 0.3493 | 1.1947 | 1.0930 |
No log | 5.3659 | 220 | 1.1248 | 0.3810 | 1.1248 | 1.0606 |
No log | 5.4146 | 222 | 0.9458 | 0.3207 | 0.9458 | 0.9725 |
No log | 5.4634 | 224 | 0.8479 | 0.3940 | 0.8479 | 0.9208 |
No log | 5.5122 | 226 | 0.8147 | 0.4973 | 0.8147 | 0.9026 |
No log | 5.5610 | 228 | 0.8478 | 0.4584 | 0.8478 | 0.9207 |
No log | 5.6098 | 230 | 0.9371 | 0.4794 | 0.9371 | 0.9680 |
No log | 5.6585 | 232 | 1.0297 | 0.4668 | 1.0297 | 1.0147 |
No log | 5.7073 | 234 | 0.9622 | 0.4779 | 0.9622 | 0.9809 |
No log | 5.7561 | 236 | 0.8791 | 0.5131 | 0.8791 | 0.9376 |
No log | 5.8049 | 238 | 0.8202 | 0.5504 | 0.8202 | 0.9056 |
No log | 5.8537 | 240 | 0.8103 | 0.5153 | 0.8103 | 0.9001 |
No log | 5.9024 | 242 | 0.8829 | 0.5318 | 0.8829 | 0.9396 |
No log | 5.9512 | 244 | 0.8116 | 0.5439 | 0.8116 | 0.9009 |
No log | 6.0 | 246 | 0.8111 | 0.5549 | 0.8111 | 0.9006 |
No log | 6.0488 | 248 | 0.7693 | 0.5383 | 0.7693 | 0.8771 |
No log | 6.0976 | 250 | 0.6927 | 0.4888 | 0.6927 | 0.8323 |
No log | 6.1463 | 252 | 0.6873 | 0.5368 | 0.6873 | 0.8290 |
No log | 6.1951 | 254 | 0.7349 | 0.5885 | 0.7349 | 0.8573 |
No log | 6.2439 | 256 | 0.7963 | 0.5532 | 0.7963 | 0.8924 |
No log | 6.2927 | 258 | 0.8166 | 0.5746 | 0.8166 | 0.9036 |
No log | 6.3415 | 260 | 0.7788 | 0.5267 | 0.7788 | 0.8825 |
No log | 6.3902 | 262 | 0.8472 | 0.5255 | 0.8472 | 0.9204 |
No log | 6.4390 | 264 | 0.9718 | 0.4894 | 0.9718 | 0.9858 |
No log | 6.4878 | 266 | 1.0546 | 0.4191 | 1.0546 | 1.0269 |
No log | 6.5366 | 268 | 0.9806 | 0.4585 | 0.9806 | 0.9903 |
No log | 6.5854 | 270 | 0.8364 | 0.4584 | 0.8364 | 0.9146 |
No log | 6.6341 | 272 | 0.7811 | 0.5135 | 0.7811 | 0.8838 |
No log | 6.6829 | 274 | 0.7749 | 0.4802 | 0.7749 | 0.8803 |
No log | 6.7317 | 276 | 0.7763 | 0.4789 | 0.7763 | 0.8811 |
No log | 6.7805 | 278 | 0.8047 | 0.4478 | 0.8047 | 0.8970 |
No log | 6.8293 | 280 | 0.8227 | 0.4344 | 0.8227 | 0.9070 |
No log | 6.8780 | 282 | 0.8465 | 0.4839 | 0.8465 | 0.9201 |
No log | 6.9268 | 284 | 0.8072 | 0.4727 | 0.8072 | 0.8984 |
No log | 6.9756 | 286 | 0.7630 | 0.4417 | 0.7630 | 0.8735 |
No log | 7.0244 | 288 | 0.7611 | 0.4417 | 0.7611 | 0.8724 |
No log | 7.0732 | 290 | 0.7722 | 0.5107 | 0.7722 | 0.8788 |
No log | 7.1220 | 292 | 0.7758 | 0.4739 | 0.7758 | 0.8808 |
No log | 7.1707 | 294 | 0.7371 | 0.4903 | 0.7371 | 0.8585 |
No log | 7.2195 | 296 | 0.7614 | 0.5438 | 0.7614 | 0.8726 |
No log | 7.2683 | 298 | 0.7417 | 0.5879 | 0.7417 | 0.8612 |
No log | 7.3171 | 300 | 0.7171 | 0.4903 | 0.7171 | 0.8468 |
No log | 7.3659 | 302 | 0.7230 | 0.5010 | 0.7230 | 0.8503 |
No log | 7.4146 | 304 | 0.7310 | 0.5002 | 0.7310 | 0.8550 |
No log | 7.4634 | 306 | 0.7409 | 0.5450 | 0.7409 | 0.8608 |
No log | 7.5122 | 308 | 0.7356 | 0.5261 | 0.7356 | 0.8577 |
No log | 7.5610 | 310 | 0.7292 | 0.5796 | 0.7292 | 0.8539 |
No log | 7.6098 | 312 | 0.7323 | 0.5700 | 0.7323 | 0.8557 |
No log | 7.6585 | 314 | 0.7527 | 0.5054 | 0.7527 | 0.8676 |
No log | 7.7073 | 316 | 0.7282 | 0.5565 | 0.7282 | 0.8533 |
No log | 7.7561 | 318 | 0.7281 | 0.5774 | 0.7281 | 0.8533 |
No log | 7.8049 | 320 | 0.7641 | 0.5618 | 0.7641 | 0.8741 |
No log | 7.8537 | 322 | 0.7974 | 0.5505 | 0.7974 | 0.8930 |
No log | 7.9024 | 324 | 0.7993 | 0.5614 | 0.7993 | 0.8940 |
No log | 7.9512 | 326 | 0.8369 | 0.5170 | 0.8369 | 0.9148 |
No log | 8.0 | 328 | 0.8053 | 0.4456 | 0.8053 | 0.8974 |
No log | 8.0488 | 330 | 0.7841 | 0.5002 | 0.7841 | 0.8855 |
No log | 8.0976 | 332 | 0.7978 | 0.4473 | 0.7978 | 0.8932 |
No log | 8.1463 | 334 | 0.8856 | 0.4586 | 0.8856 | 0.9411 |
No log | 8.1951 | 336 | 0.9433 | 0.5241 | 0.9433 | 0.9713 |
No log | 8.2439 | 338 | 0.8725 | 0.5041 | 0.8725 | 0.9341 |
No log | 8.2927 | 340 | 0.8114 | 0.5103 | 0.8114 | 0.9008 |
No log | 8.3415 | 342 | 0.8031 | 0.5010 | 0.8031 | 0.8962 |
No log | 8.3902 | 344 | 0.8346 | 0.4581 | 0.8346 | 0.9136 |
No log | 8.4390 | 346 | 0.8363 | 0.4060 | 0.8363 | 0.9145 |
No log | 8.4878 | 348 | 0.8392 | 0.4060 | 0.8392 | 0.9161 |
No log | 8.5366 | 350 | 0.8091 | 0.3922 | 0.8091 | 0.8995 |
No log | 8.5854 | 352 | 0.7982 | 0.4063 | 0.7982 | 0.8934 |
No log | 8.6341 | 354 | 0.8055 | 0.4713 | 0.8055 | 0.8975 |
No log | 8.6829 | 356 | 0.8303 | 0.4579 | 0.8303 | 0.9112 |
No log | 8.7317 | 358 | 0.8448 | 0.5041 | 0.8448 | 0.9191 |
No log | 8.7805 | 360 | 0.7790 | 0.4850 | 0.7790 | 0.8826 |
No log | 8.8293 | 362 | 0.7333 | 0.5774 | 0.7333 | 0.8564 |
No log | 8.8780 | 364 | 0.7219 | 0.5809 | 0.7219 | 0.8497 |
No log | 8.9268 | 366 | 0.7398 | 0.5361 | 0.7398 | 0.8601 |
No log | 8.9756 | 368 | 0.7843 | 0.4579 | 0.7843 | 0.8856 |
No log | 9.0244 | 370 | 0.7884 | 0.4579 | 0.7884 | 0.8879 |
No log | 9.0732 | 372 | 0.7400 | 0.4839 | 0.7400 | 0.8602 |
No log | 9.1220 | 374 | 0.6948 | 0.5346 | 0.6948 | 0.8336 |
No log | 9.1707 | 376 | 0.6910 | 0.5546 | 0.6910 | 0.8312 |
No log | 9.2195 | 378 | 0.6979 | 0.5751 | 0.6979 | 0.8354 |
No log | 9.2683 | 380 | 0.6895 | 0.5645 | 0.6895 | 0.8304 |
No log | 9.3171 | 382 | 0.6811 | 0.5221 | 0.6811 | 0.8253 |
No log | 9.3659 | 384 | 0.6792 | 0.5357 | 0.6792 | 0.8241 |
No log | 9.4146 | 386 | 0.6910 | 0.5010 | 0.6910 | 0.8313 |
No log | 9.4634 | 388 | 0.6946 | 0.5017 | 0.6946 | 0.8334 |
No log | 9.5122 | 390 | 0.6922 | 0.5345 | 0.6922 | 0.8320 |
No log | 9.5610 | 392 | 0.7140 | 0.5221 | 0.7140 | 0.8450 |
No log | 9.6098 | 394 | 0.7120 | 0.5528 | 0.7120 | 0.8438 |
No log | 9.6585 | 396 | 0.6612 | 0.6441 | 0.6612 | 0.8132 |
No log | 9.7073 | 398 | 0.6551 | 0.6581 | 0.6551 | 0.8094 |
No log | 9.7561 | 400 | 0.6453 | 0.6500 | 0.6453 | 0.8033 |
No log | 9.8049 | 402 | 0.6428 | 0.5712 | 0.6428 | 0.8017 |
No log | 9.8537 | 404 | 0.6668 | 0.5345 | 0.6668 | 0.8166 |
No log | 9.9024 | 406 | 0.6668 | 0.5185 | 0.6668 | 0.8166 |
No log | 9.9512 | 408 | 0.6714 | 0.5185 | 0.6714 | 0.8194 |
No log | 10.0 | 410 | 0.6443 | 0.5602 | 0.6443 | 0.8027 |
No log | 10.0488 | 412 | 0.6591 | 0.5786 | 0.6591 | 0.8119 |
No log | 10.0976 | 414 | 0.6899 | 0.5740 | 0.6899 | 0.8306 |
No log | 10.1463 | 416 | 0.6630 | 0.6389 | 0.6630 | 0.8143 |
No log | 10.1951 | 418 | 0.6614 | 0.5887 | 0.6614 | 0.8133 |
No log | 10.2439 | 420 | 0.6604 | 0.6518 | 0.6604 | 0.8127 |
No log | 10.2927 | 422 | 0.6680 | 0.5945 | 0.6680 | 0.8173 |
No log | 10.3415 | 424 | 0.6614 | 0.6154 | 0.6614 | 0.8133 |
No log | 10.3902 | 426 | 0.6576 | 0.6154 | 0.6576 | 0.8109 |
No log | 10.4390 | 428 | 0.6610 | 0.5955 | 0.6610 | 0.8130 |
No log | 10.4878 | 430 | 0.6617 | 0.6426 | 0.6617 | 0.8135 |
No log | 10.5366 | 432 | 0.6640 | 0.6306 | 0.6640 | 0.8148 |
No log | 10.5854 | 434 | 0.6738 | 0.6341 | 0.6738 | 0.8208 |
No log | 10.6341 | 436 | 0.6879 | 0.6491 | 0.6879 | 0.8294 |
No log | 10.6829 | 438 | 0.6796 | 0.6491 | 0.6796 | 0.8244 |
No log | 10.7317 | 440 | 0.6795 | 0.6175 | 0.6795 | 0.8243 |
No log | 10.7805 | 442 | 0.6688 | 0.5928 | 0.6688 | 0.8178 |
No log | 10.8293 | 444 | 0.6682 | 0.5317 | 0.6682 | 0.8175 |
No log | 10.8780 | 446 | 0.7127 | 0.5622 | 0.7127 | 0.8442 |
No log | 10.9268 | 448 | 0.7745 | 0.5385 | 0.7745 | 0.8801 |
No log | 10.9756 | 450 | 0.7761 | 0.5070 | 0.7761 | 0.8810 |
No log | 11.0244 | 452 | 0.7627 | 0.5084 | 0.7627 | 0.8733 |
No log | 11.0732 | 454 | 0.7096 | 0.5093 | 0.7096 | 0.8424 |
No log | 11.1220 | 456 | 0.6618 | 0.5234 | 0.6618 | 0.8135 |
No log | 11.1707 | 458 | 0.6699 | 0.5221 | 0.6699 | 0.8185 |
No log | 11.2195 | 460 | 0.7182 | 0.5614 | 0.7182 | 0.8474 |
No log | 11.2683 | 462 | 0.7973 | 0.5697 | 0.7973 | 0.8929 |
No log | 11.3171 | 464 | 0.7958 | 0.5697 | 0.7958 | 0.8921 |
No log | 11.3659 | 466 | 0.7892 | 0.5173 | 0.7892 | 0.8884 |
No log | 11.4146 | 468 | 0.7633 | 0.5291 | 0.7633 | 0.8737 |
No log | 11.4634 | 470 | 0.7322 | 0.5305 | 0.7322 | 0.8557 |
No log | 11.5122 | 472 | 0.7319 | 0.5923 | 0.7319 | 0.8555 |
No log | 11.5610 | 474 | 0.7737 | 0.5560 | 0.7737 | 0.8796 |
No log | 11.6098 | 476 | 0.7174 | 0.5821 | 0.7174 | 0.8470 |
No log | 11.6585 | 478 | 0.6805 | 0.5763 | 0.6805 | 0.8249 |
No log | 11.7073 | 480 | 0.6798 | 0.5558 | 0.6798 | 0.8245 |
No log | 11.7561 | 482 | 0.6941 | 0.5558 | 0.6941 | 0.8331 |
No log | 11.8049 | 484 | 0.6832 | 0.5822 | 0.6832 | 0.8266 |
No log | 11.8537 | 486 | 0.6648 | 0.5046 | 0.6648 | 0.8154 |
No log | 11.9024 | 488 | 0.6710 | 0.5174 | 0.6710 | 0.8191 |
No log | 11.9512 | 490 | 0.6647 | 0.5046 | 0.6647 | 0.8153 |
No log | 12.0 | 492 | 0.6936 | 0.6269 | 0.6936 | 0.8328 |
No log | 12.0488 | 494 | 0.8245 | 0.5658 | 0.8245 | 0.9080 |
No log | 12.0976 | 496 | 0.8437 | 0.5639 | 0.8437 | 0.9185 |
No log | 12.1463 | 498 | 0.7823 | 0.5852 | 0.7823 | 0.8845 |
0.3056 | 12.1951 | 500 | 0.7689 | 0.5494 | 0.7689 | 0.8769 |
0.3056 | 12.2439 | 502 | 0.7838 | 0.5048 | 0.7838 | 0.8853 |
0.3056 | 12.2927 | 504 | 0.7746 | 0.5173 | 0.7746 | 0.8801 |
0.3056 | 12.3415 | 506 | 0.7501 | 0.5317 | 0.7501 | 0.8661 |
0.3056 | 12.3902 | 508 | 0.7469 | 0.5330 | 0.7469 | 0.8642 |
0.3056 | 12.4390 | 510 | 0.7556 | 0.5626 | 0.7556 | 0.8692 |
0.3056 | 12.4878 | 512 | 0.8046 | 0.5923 | 0.8046 | 0.8970 |
0.3056 | 12.5366 | 514 | 0.8939 | 0.5305 | 0.8939 | 0.9455 |
0.3056 | 12.5854 | 516 | 0.8613 | 0.5726 | 0.8613 | 0.9281 |
0.3056 | 12.6341 | 518 | 0.7784 | 0.5923 | 0.7784 | 0.8823 |
0.3056 | 12.6829 | 520 | 0.7529 | 0.4660 | 0.7529 | 0.8677 |
0.3056 | 12.7317 | 522 | 0.7648 | 0.4388 | 0.7648 | 0.8746 |
0.3056 | 12.7805 | 524 | 0.7718 | 0.4371 | 0.7718 | 0.8785 |
0.3056 | 12.8293 | 526 | 0.8177 | 0.4581 | 0.8177 | 0.9043 |
0.3056 | 12.8780 | 528 | 0.9004 | 0.4434 | 0.9004 | 0.9489 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k16_task5_organization
Base model
aubmindlab/bert-base-arabertv02