ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k13_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: 0.5468
- Qwk: 0.6350
- Mse: 0.5468
- Rmse: 0.7394
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 | 0.0588 | 2 | 3.9977 | -0.0151 | 3.9977 | 1.9994 |
| No log | 0.1176 | 4 | 2.1675 | -0.0525 | 2.1675 | 1.4722 |
| No log | 0.1765 | 6 | 1.7576 | -0.0595 | 1.7576 | 1.3257 |
| No log | 0.2353 | 8 | 1.4616 | 0.0056 | 1.4616 | 1.2090 |
| No log | 0.2941 | 10 | 1.2390 | 0.0496 | 1.2390 | 1.1131 |
| No log | 0.3529 | 12 | 1.1145 | 0.1549 | 1.1145 | 1.0557 |
| No log | 0.4118 | 14 | 1.0946 | 0.2441 | 1.0946 | 1.0462 |
| No log | 0.4706 | 16 | 1.1252 | 0.2441 | 1.1252 | 1.0608 |
| No log | 0.5294 | 18 | 1.0632 | 0.1799 | 1.0632 | 1.0311 |
| No log | 0.5882 | 20 | 1.0605 | 0.1771 | 1.0605 | 1.0298 |
| No log | 0.6471 | 22 | 1.0797 | 0.0919 | 1.0797 | 1.0391 |
| No log | 0.7059 | 24 | 1.0853 | 0.0385 | 1.0853 | 1.0418 |
| No log | 0.7647 | 26 | 1.0887 | 0.2391 | 1.0887 | 1.0434 |
| No log | 0.8235 | 28 | 1.0628 | 0.2643 | 1.0628 | 1.0309 |
| No log | 0.8824 | 30 | 1.0715 | 0.1330 | 1.0715 | 1.0352 |
| No log | 0.9412 | 32 | 1.1402 | 0.0762 | 1.1402 | 1.0678 |
| No log | 1.0 | 34 | 1.1104 | 0.1203 | 1.1104 | 1.0537 |
| No log | 1.0588 | 36 | 1.0230 | 0.1389 | 1.0230 | 1.0114 |
| No log | 1.1176 | 38 | 0.9922 | 0.2291 | 0.9922 | 0.9961 |
| No log | 1.1765 | 40 | 1.0692 | 0.3003 | 1.0692 | 1.0340 |
| No log | 1.2353 | 42 | 1.1217 | 0.2880 | 1.1217 | 1.0591 |
| No log | 1.2941 | 44 | 1.0542 | 0.3229 | 1.0542 | 1.0267 |
| No log | 1.3529 | 46 | 0.9995 | 0.2716 | 0.9995 | 0.9997 |
| No log | 1.4118 | 48 | 1.0600 | 0.1196 | 1.0600 | 1.0296 |
| No log | 1.4706 | 50 | 1.0961 | 0.0981 | 1.0961 | 1.0469 |
| No log | 1.5294 | 52 | 1.0568 | 0.1076 | 1.0568 | 1.0280 |
| No log | 1.5882 | 54 | 0.9990 | 0.1545 | 0.9990 | 0.9995 |
| No log | 1.6471 | 56 | 0.9550 | 0.3393 | 0.9550 | 0.9772 |
| No log | 1.7059 | 58 | 1.0176 | 0.2842 | 1.0176 | 1.0088 |
| No log | 1.7647 | 60 | 1.0994 | 0.2142 | 1.0994 | 1.0485 |
| No log | 1.8235 | 62 | 1.2389 | 0.1281 | 1.2389 | 1.1130 |
| No log | 1.8824 | 64 | 1.3146 | 0.1281 | 1.3146 | 1.1466 |
| No log | 1.9412 | 66 | 1.1951 | 0.1968 | 1.1951 | 1.0932 |
| No log | 2.0 | 68 | 1.2402 | 0.1807 | 1.2402 | 1.1136 |
| No log | 2.0588 | 70 | 1.2306 | 0.2668 | 1.2306 | 1.1093 |
| No log | 2.1176 | 72 | 1.0800 | 0.3505 | 1.0800 | 1.0392 |
| No log | 2.1765 | 74 | 1.0698 | 0.2607 | 1.0698 | 1.0343 |
| No log | 2.2353 | 76 | 1.0569 | 0.2607 | 1.0569 | 1.0281 |
| No log | 2.2941 | 78 | 1.0392 | 0.3209 | 1.0392 | 1.0194 |
| No log | 2.3529 | 80 | 1.0204 | 0.3435 | 1.0204 | 1.0101 |
| No log | 2.4118 | 82 | 1.0335 | 0.2584 | 1.0335 | 1.0166 |
| No log | 2.4706 | 84 | 0.9953 | 0.3819 | 0.9953 | 0.9976 |
| No log | 2.5294 | 86 | 0.9628 | 0.3819 | 0.9628 | 0.9812 |
| No log | 2.5882 | 88 | 0.9194 | 0.3819 | 0.9194 | 0.9589 |
| No log | 2.6471 | 90 | 0.9119 | 0.4329 | 0.9119 | 0.9550 |
| No log | 2.7059 | 92 | 0.9085 | 0.4482 | 0.9085 | 0.9532 |
| No log | 2.7647 | 94 | 0.8566 | 0.5069 | 0.8566 | 0.9255 |
| No log | 2.8235 | 96 | 1.0294 | 0.4628 | 1.0294 | 1.0146 |
| No log | 2.8824 | 98 | 1.0833 | 0.4294 | 1.0833 | 1.0408 |
| No log | 2.9412 | 100 | 1.0096 | 0.4854 | 1.0096 | 1.0048 |
| No log | 3.0 | 102 | 0.7341 | 0.5388 | 0.7341 | 0.8568 |
| No log | 3.0588 | 104 | 0.7417 | 0.4456 | 0.7417 | 0.8612 |
| No log | 3.1176 | 106 | 0.7003 | 0.4610 | 0.7003 | 0.8369 |
| No log | 3.1765 | 108 | 0.6943 | 0.4862 | 0.6943 | 0.8333 |
| No log | 3.2353 | 110 | 0.6599 | 0.5509 | 0.6599 | 0.8123 |
| No log | 3.2941 | 112 | 0.6283 | 0.5640 | 0.6283 | 0.7926 |
| No log | 3.3529 | 114 | 0.6639 | 0.5425 | 0.6639 | 0.8148 |
| No log | 3.4118 | 116 | 0.6473 | 0.5185 | 0.6473 | 0.8046 |
| No log | 3.4706 | 118 | 0.5979 | 0.6475 | 0.5979 | 0.7732 |
| No log | 3.5294 | 120 | 0.6072 | 0.6349 | 0.6072 | 0.7792 |
| No log | 3.5882 | 122 | 0.6172 | 0.5426 | 0.6172 | 0.7856 |
| No log | 3.6471 | 124 | 0.6672 | 0.4554 | 0.6672 | 0.8169 |
| No log | 3.7059 | 126 | 0.6796 | 0.4427 | 0.6796 | 0.8244 |
| No log | 3.7647 | 128 | 0.6640 | 0.5063 | 0.6640 | 0.8149 |
| No log | 3.8235 | 130 | 0.6754 | 0.5542 | 0.6754 | 0.8218 |
| No log | 3.8824 | 132 | 0.7183 | 0.5516 | 0.7183 | 0.8475 |
| No log | 3.9412 | 134 | 0.9324 | 0.5082 | 0.9324 | 0.9656 |
| No log | 4.0 | 136 | 0.8614 | 0.4794 | 0.8614 | 0.9281 |
| No log | 4.0588 | 138 | 0.6888 | 0.5808 | 0.6888 | 0.8300 |
| No log | 4.1176 | 140 | 0.7215 | 0.5603 | 0.7215 | 0.8494 |
| No log | 4.1765 | 142 | 0.6868 | 0.5618 | 0.6868 | 0.8287 |
| No log | 4.2353 | 144 | 0.6925 | 0.5113 | 0.6925 | 0.8321 |
| No log | 4.2941 | 146 | 0.7481 | 0.4958 | 0.7481 | 0.8649 |
| No log | 4.3529 | 148 | 0.8993 | 0.4666 | 0.8993 | 0.9483 |
| No log | 4.4118 | 150 | 0.8583 | 0.3884 | 0.8583 | 0.9264 |
| No log | 4.4706 | 152 | 0.7721 | 0.4041 | 0.7721 | 0.8787 |
| No log | 4.5294 | 154 | 0.7865 | 0.4546 | 0.7865 | 0.8868 |
| No log | 4.5882 | 156 | 0.7236 | 0.4730 | 0.7236 | 0.8506 |
| No log | 4.6471 | 158 | 0.7058 | 0.5033 | 0.7058 | 0.8401 |
| No log | 4.7059 | 160 | 0.7070 | 0.5273 | 0.7070 | 0.8408 |
| No log | 4.7647 | 162 | 0.7066 | 0.5131 | 0.7066 | 0.8406 |
| No log | 4.8235 | 164 | 0.7405 | 0.5442 | 0.7405 | 0.8605 |
| No log | 4.8824 | 166 | 0.7724 | 0.5385 | 0.7724 | 0.8789 |
| No log | 4.9412 | 168 | 0.6995 | 0.5698 | 0.6995 | 0.8364 |
| No log | 5.0 | 170 | 0.6567 | 0.5370 | 0.6567 | 0.8104 |
| No log | 5.0588 | 172 | 0.6471 | 0.5160 | 0.6471 | 0.8044 |
| No log | 5.1176 | 174 | 0.6599 | 0.5517 | 0.6599 | 0.8124 |
| No log | 5.1765 | 176 | 0.6646 | 0.5517 | 0.6646 | 0.8152 |
| No log | 5.2353 | 178 | 0.6711 | 0.5703 | 0.6711 | 0.8192 |
| No log | 5.2941 | 180 | 0.6730 | 0.5599 | 0.6730 | 0.8204 |
| No log | 5.3529 | 182 | 0.6958 | 0.5934 | 0.6958 | 0.8342 |
| No log | 5.4118 | 184 | 0.8011 | 0.5770 | 0.8011 | 0.8950 |
| No log | 5.4706 | 186 | 0.6726 | 0.5830 | 0.6726 | 0.8201 |
| No log | 5.5294 | 188 | 0.6598 | 0.5830 | 0.6598 | 0.8123 |
| No log | 5.5882 | 190 | 0.8678 | 0.4851 | 0.8678 | 0.9315 |
| No log | 5.6471 | 192 | 0.9896 | 0.4779 | 0.9896 | 0.9948 |
| No log | 5.7059 | 194 | 1.0835 | 0.4503 | 1.0835 | 1.0409 |
| No log | 5.7647 | 196 | 0.7959 | 0.4926 | 0.7959 | 0.8921 |
| No log | 5.8235 | 198 | 0.6338 | 0.5978 | 0.6338 | 0.7961 |
| No log | 5.8824 | 200 | 0.7152 | 0.5292 | 0.7152 | 0.8457 |
| No log | 5.9412 | 202 | 0.6613 | 0.5686 | 0.6613 | 0.8132 |
| No log | 6.0 | 204 | 0.6294 | 0.5359 | 0.6294 | 0.7934 |
| No log | 6.0588 | 206 | 0.6300 | 0.5585 | 0.6300 | 0.7937 |
| No log | 6.1176 | 208 | 0.6180 | 0.5590 | 0.6180 | 0.7862 |
| No log | 6.1765 | 210 | 0.6096 | 0.5735 | 0.6096 | 0.7808 |
| No log | 6.2353 | 212 | 0.6554 | 0.6090 | 0.6554 | 0.8096 |
| No log | 6.2941 | 214 | 0.6775 | 0.5953 | 0.6775 | 0.8231 |
| No log | 6.3529 | 216 | 0.7197 | 0.6622 | 0.7197 | 0.8484 |
| No log | 6.4118 | 218 | 0.6682 | 0.6249 | 0.6682 | 0.8174 |
| No log | 6.4706 | 220 | 0.6665 | 0.5919 | 0.6665 | 0.8164 |
| No log | 6.5294 | 222 | 1.0957 | 0.4485 | 1.0957 | 1.0467 |
| No log | 6.5882 | 224 | 1.1530 | 0.3640 | 1.1530 | 1.0738 |
| No log | 6.6471 | 226 | 0.8204 | 0.5690 | 0.8204 | 0.9057 |
| No log | 6.7059 | 228 | 0.6305 | 0.5939 | 0.6305 | 0.7941 |
| No log | 6.7647 | 230 | 0.6533 | 0.6370 | 0.6533 | 0.8083 |
| No log | 6.8235 | 232 | 0.7340 | 0.5810 | 0.7340 | 0.8567 |
| No log | 6.8824 | 234 | 0.7543 | 0.5598 | 0.7543 | 0.8685 |
| No log | 6.9412 | 236 | 0.7082 | 0.4697 | 0.7082 | 0.8416 |
| No log | 7.0 | 238 | 0.6334 | 0.5759 | 0.6334 | 0.7959 |
| No log | 7.0588 | 240 | 0.6319 | 0.5747 | 0.6319 | 0.7949 |
| No log | 7.1176 | 242 | 0.6376 | 0.5759 | 0.6376 | 0.7985 |
| No log | 7.1765 | 244 | 0.6760 | 0.5363 | 0.6760 | 0.8222 |
| No log | 7.2353 | 246 | 0.7310 | 0.4439 | 0.7310 | 0.8550 |
| No log | 7.2941 | 248 | 0.7610 | 0.3921 | 0.7610 | 0.8723 |
| No log | 7.3529 | 250 | 0.8707 | 0.4065 | 0.8707 | 0.9331 |
| No log | 7.4118 | 252 | 0.8781 | 0.3810 | 0.8781 | 0.9371 |
| No log | 7.4706 | 254 | 0.7524 | 0.4439 | 0.7524 | 0.8674 |
| No log | 7.5294 | 256 | 0.6873 | 0.5274 | 0.6873 | 0.8290 |
| No log | 7.5882 | 258 | 0.7044 | 0.5747 | 0.7044 | 0.8393 |
| No log | 7.6471 | 260 | 0.6926 | 0.5747 | 0.6926 | 0.8322 |
| No log | 7.7059 | 262 | 0.6814 | 0.5377 | 0.6814 | 0.8255 |
| No log | 7.7647 | 264 | 0.7823 | 0.5403 | 0.7823 | 0.8845 |
| No log | 7.8235 | 266 | 0.8164 | 0.5240 | 0.8164 | 0.9036 |
| No log | 7.8824 | 268 | 0.7335 | 0.5433 | 0.7335 | 0.8565 |
| No log | 7.9412 | 270 | 0.6483 | 0.5025 | 0.6483 | 0.8052 |
| No log | 8.0 | 272 | 0.6900 | 0.5542 | 0.6900 | 0.8307 |
| No log | 8.0588 | 274 | 0.7550 | 0.5884 | 0.7550 | 0.8689 |
| No log | 8.1176 | 276 | 0.7193 | 0.5656 | 0.7193 | 0.8481 |
| No log | 8.1765 | 278 | 0.6324 | 0.5856 | 0.6324 | 0.7952 |
| No log | 8.2353 | 280 | 0.6373 | 0.5822 | 0.6373 | 0.7983 |
| No log | 8.2941 | 282 | 0.7074 | 0.5964 | 0.7074 | 0.8411 |
| No log | 8.3529 | 284 | 0.7230 | 0.4568 | 0.7230 | 0.8503 |
| No log | 8.4118 | 286 | 0.6474 | 0.5835 | 0.6474 | 0.8046 |
| No log | 8.4706 | 288 | 0.6365 | 0.5823 | 0.6365 | 0.7978 |
| No log | 8.5294 | 290 | 0.6209 | 0.5926 | 0.6209 | 0.7880 |
| No log | 8.5882 | 292 | 0.6160 | 0.5710 | 0.6160 | 0.7849 |
| No log | 8.6471 | 294 | 0.7296 | 0.5994 | 0.7296 | 0.8541 |
| No log | 8.7059 | 296 | 0.8302 | 0.5196 | 0.8302 | 0.9112 |
| No log | 8.7647 | 298 | 0.8078 | 0.6151 | 0.8078 | 0.8988 |
| No log | 8.8235 | 300 | 0.6732 | 0.6319 | 0.6732 | 0.8205 |
| No log | 8.8824 | 302 | 0.6174 | 0.6589 | 0.6174 | 0.7857 |
| No log | 8.9412 | 304 | 0.6309 | 0.5695 | 0.6309 | 0.7943 |
| No log | 9.0 | 306 | 0.6125 | 0.6649 | 0.6125 | 0.7826 |
| No log | 9.0588 | 308 | 0.6617 | 0.6137 | 0.6617 | 0.8134 |
| No log | 9.1176 | 310 | 0.7144 | 0.6278 | 0.7144 | 0.8452 |
| No log | 9.1765 | 312 | 0.7140 | 0.5387 | 0.7140 | 0.8450 |
| No log | 9.2353 | 314 | 0.6669 | 0.4713 | 0.6669 | 0.8167 |
| No log | 9.2941 | 316 | 0.6438 | 0.5490 | 0.6438 | 0.8024 |
| No log | 9.3529 | 318 | 0.6367 | 0.5835 | 0.6367 | 0.7979 |
| No log | 9.4118 | 320 | 0.6701 | 0.5833 | 0.6701 | 0.8186 |
| No log | 9.4706 | 322 | 0.6805 | 0.5833 | 0.6805 | 0.8250 |
| No log | 9.5294 | 324 | 0.6407 | 0.6360 | 0.6407 | 0.8004 |
| No log | 9.5882 | 326 | 0.6270 | 0.5932 | 0.6270 | 0.7918 |
| No log | 9.6471 | 328 | 0.6260 | 0.5960 | 0.6260 | 0.7912 |
| No log | 9.7059 | 330 | 0.6118 | 0.5960 | 0.6118 | 0.7822 |
| No log | 9.7647 | 332 | 0.5976 | 0.5972 | 0.5976 | 0.7731 |
| No log | 9.8235 | 334 | 0.5879 | 0.5747 | 0.5879 | 0.7667 |
| No log | 9.8824 | 336 | 0.5782 | 0.5747 | 0.5782 | 0.7604 |
| No log | 9.9412 | 338 | 0.5794 | 0.6067 | 0.5794 | 0.7612 |
| No log | 10.0 | 340 | 0.5699 | 0.5747 | 0.5699 | 0.7549 |
| No log | 10.0588 | 342 | 0.5894 | 0.5921 | 0.5894 | 0.7678 |
| No log | 10.1176 | 344 | 0.6293 | 0.6491 | 0.6293 | 0.7933 |
| No log | 10.1765 | 346 | 0.6408 | 0.6377 | 0.6408 | 0.8005 |
| No log | 10.2353 | 348 | 0.5922 | 0.6500 | 0.5922 | 0.7696 |
| No log | 10.2941 | 350 | 0.5710 | 0.5847 | 0.5710 | 0.7556 |
| No log | 10.3529 | 352 | 0.5898 | 0.6043 | 0.5898 | 0.7680 |
| No log | 10.4118 | 354 | 0.6641 | 0.5822 | 0.6641 | 0.8150 |
| No log | 10.4706 | 356 | 0.6449 | 0.5622 | 0.6449 | 0.8031 |
| No log | 10.5294 | 358 | 0.5935 | 0.5989 | 0.5935 | 0.7704 |
| No log | 10.5882 | 360 | 0.6139 | 0.5806 | 0.6139 | 0.7835 |
| No log | 10.6471 | 362 | 0.6313 | 0.5794 | 0.6313 | 0.7945 |
| No log | 10.7059 | 364 | 0.6024 | 0.5794 | 0.6024 | 0.7761 |
| No log | 10.7647 | 366 | 0.5709 | 0.5950 | 0.5709 | 0.7556 |
| No log | 10.8235 | 368 | 0.5869 | 0.6588 | 0.5869 | 0.7661 |
| No log | 10.8824 | 370 | 0.5859 | 0.6175 | 0.5859 | 0.7655 |
| No log | 10.9412 | 372 | 0.5841 | 0.5934 | 0.5841 | 0.7642 |
| No log | 11.0 | 374 | 0.6391 | 0.6089 | 0.6391 | 0.7995 |
| No log | 11.0588 | 376 | 0.6674 | 0.5828 | 0.6674 | 0.8170 |
| No log | 11.1176 | 378 | 0.6391 | 0.5830 | 0.6391 | 0.7995 |
| No log | 11.1765 | 380 | 0.6117 | 0.6011 | 0.6117 | 0.7821 |
| No log | 11.2353 | 382 | 0.6073 | 0.5808 | 0.6073 | 0.7793 |
| No log | 11.2941 | 384 | 0.6018 | 0.5594 | 0.6018 | 0.7758 |
| No log | 11.3529 | 386 | 0.6025 | 0.5602 | 0.6025 | 0.7762 |
| No log | 11.4118 | 388 | 0.5968 | 0.5923 | 0.5968 | 0.7725 |
| No log | 11.4706 | 390 | 0.5911 | 0.5819 | 0.5911 | 0.7689 |
| No log | 11.5294 | 392 | 0.5840 | 0.5819 | 0.5840 | 0.7642 |
| No log | 11.5882 | 394 | 0.5948 | 0.6022 | 0.5948 | 0.7712 |
| No log | 11.6471 | 396 | 0.5965 | 0.6022 | 0.5965 | 0.7723 |
| No log | 11.7059 | 398 | 0.6086 | 0.5726 | 0.6086 | 0.7801 |
| No log | 11.7647 | 400 | 0.5932 | 0.5843 | 0.5932 | 0.7702 |
| No log | 11.8235 | 402 | 0.5802 | 0.5939 | 0.5802 | 0.7617 |
| No log | 11.8824 | 404 | 0.5914 | 0.5921 | 0.5914 | 0.7690 |
| No log | 11.9412 | 406 | 0.5851 | 0.5921 | 0.5851 | 0.7649 |
| No log | 12.0 | 408 | 0.5825 | 0.5856 | 0.5825 | 0.7632 |
| No log | 12.0588 | 410 | 0.5905 | 0.5747 | 0.5905 | 0.7684 |
| No log | 12.1176 | 412 | 0.6008 | 0.5638 | 0.6008 | 0.7751 |
| No log | 12.1765 | 414 | 0.5969 | 0.6022 | 0.5969 | 0.7726 |
| No log | 12.2353 | 416 | 0.6003 | 0.6124 | 0.6003 | 0.7748 |
| No log | 12.2941 | 418 | 0.5980 | 0.5808 | 0.5980 | 0.7733 |
| No log | 12.3529 | 420 | 0.5967 | 0.5724 | 0.5967 | 0.7725 |
| No log | 12.4118 | 422 | 0.5976 | 0.5480 | 0.5976 | 0.7731 |
| No log | 12.4706 | 424 | 0.6069 | 0.5516 | 0.6069 | 0.7790 |
| No log | 12.5294 | 426 | 0.6204 | 0.5288 | 0.6204 | 0.7877 |
| No log | 12.5882 | 428 | 0.6312 | 0.5542 | 0.6312 | 0.7945 |
| No log | 12.6471 | 430 | 0.6385 | 0.5523 | 0.6385 | 0.7990 |
| No log | 12.7059 | 432 | 0.6556 | 0.5647 | 0.6556 | 0.8097 |
| No log | 12.7647 | 434 | 0.6393 | 0.5149 | 0.6393 | 0.7995 |
| No log | 12.8235 | 436 | 0.6439 | 0.5811 | 0.6439 | 0.8025 |
| No log | 12.8824 | 438 | 0.6258 | 0.5797 | 0.6258 | 0.7911 |
| No log | 12.9412 | 440 | 0.6200 | 0.5505 | 0.6200 | 0.7874 |
| No log | 13.0 | 442 | 0.6863 | 0.5928 | 0.6863 | 0.8284 |
| No log | 13.0588 | 444 | 0.6707 | 0.5902 | 0.6707 | 0.8190 |
| No log | 13.1176 | 446 | 0.5984 | 0.5882 | 0.5984 | 0.7736 |
| No log | 13.1765 | 448 | 0.6062 | 0.6003 | 0.6062 | 0.7786 |
| No log | 13.2353 | 450 | 0.6772 | 0.5534 | 0.6772 | 0.8229 |
| No log | 13.2941 | 452 | 0.6797 | 0.5651 | 0.6797 | 0.8245 |
| No log | 13.3529 | 454 | 0.6410 | 0.5305 | 0.6410 | 0.8006 |
| No log | 13.4118 | 456 | 0.6042 | 0.5605 | 0.6042 | 0.7773 |
| No log | 13.4706 | 458 | 0.5897 | 0.5415 | 0.5897 | 0.7679 |
| No log | 13.5294 | 460 | 0.6123 | 0.5879 | 0.6123 | 0.7825 |
| No log | 13.5882 | 462 | 0.6069 | 0.6269 | 0.6069 | 0.7791 |
| No log | 13.6471 | 464 | 0.6061 | 0.5856 | 0.6061 | 0.7785 |
| No log | 13.7059 | 466 | 0.6099 | 0.5647 | 0.6099 | 0.7810 |
| No log | 13.7647 | 468 | 0.6421 | 0.5226 | 0.6421 | 0.8013 |
| No log | 13.8235 | 470 | 0.6526 | 0.4982 | 0.6526 | 0.8078 |
| No log | 13.8824 | 472 | 0.6371 | 0.4982 | 0.6371 | 0.7982 |
| No log | 13.9412 | 474 | 0.6284 | 0.5078 | 0.6284 | 0.7927 |
| No log | 14.0 | 476 | 0.6187 | 0.5847 | 0.6187 | 0.7866 |
| No log | 14.0588 | 478 | 0.6250 | 0.6133 | 0.6250 | 0.7906 |
| No log | 14.1176 | 480 | 0.6226 | 0.5797 | 0.6226 | 0.7890 |
| No log | 14.1765 | 482 | 0.6065 | 0.5797 | 0.6065 | 0.7788 |
| No log | 14.2353 | 484 | 0.5995 | 0.6085 | 0.5995 | 0.7743 |
| No log | 14.2941 | 486 | 0.5970 | 0.6207 | 0.5970 | 0.7726 |
| No log | 14.3529 | 488 | 0.6049 | 0.6219 | 0.6049 | 0.7777 |
| No log | 14.4118 | 490 | 0.6147 | 0.6187 | 0.6147 | 0.7840 |
| No log | 14.4706 | 492 | 0.6124 | 0.6187 | 0.6124 | 0.7825 |
| No log | 14.5294 | 494 | 0.6046 | 0.6177 | 0.6046 | 0.7776 |
| No log | 14.5882 | 496 | 0.5957 | 0.6306 | 0.5957 | 0.7718 |
| No log | 14.6471 | 498 | 0.5979 | 0.6374 | 0.5979 | 0.7733 |
| 0.2967 | 14.7059 | 500 | 0.6060 | 0.6555 | 0.6060 | 0.7785 |
| 0.2967 | 14.7647 | 502 | 0.5933 | 0.6555 | 0.5933 | 0.7703 |
| 0.2967 | 14.8235 | 504 | 0.5815 | 0.6383 | 0.5815 | 0.7626 |
| 0.2967 | 14.8824 | 506 | 0.5859 | 0.5759 | 0.5859 | 0.7655 |
| 0.2967 | 14.9412 | 508 | 0.5721 | 0.5759 | 0.5721 | 0.7564 |
| 0.2967 | 15.0 | 510 | 0.5468 | 0.6350 | 0.5468 | 0.7394 |
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_FineTuningAraBERT_run2_AugV5_k13_task5_organization
Base model
aubmindlab/bert-base-arabertv02