ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k20_task7_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: 0.6566
- Qwk: 0.4890
- Mse: 0.6566
- Rmse: 0.8103
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 | 0.04 | 2 | 2.5990 | -0.0262 | 2.5990 | 1.6121 |
No log | 0.08 | 4 | 1.4044 | 0.0540 | 1.4044 | 1.1851 |
No log | 0.12 | 6 | 0.9350 | -0.0228 | 0.9350 | 0.9670 |
No log | 0.16 | 8 | 0.9408 | -0.0860 | 0.9408 | 0.9700 |
No log | 0.2 | 10 | 0.8959 | -0.0079 | 0.8959 | 0.9465 |
No log | 0.24 | 12 | 0.8302 | -0.0027 | 0.8302 | 0.9111 |
No log | 0.28 | 14 | 0.8096 | 0.0 | 0.8096 | 0.8998 |
No log | 0.32 | 16 | 0.8459 | 0.0 | 0.8459 | 0.9198 |
No log | 0.36 | 18 | 0.8157 | -0.0444 | 0.8157 | 0.9031 |
No log | 0.4 | 20 | 0.7359 | 0.0717 | 0.7359 | 0.8578 |
No log | 0.44 | 22 | 0.7123 | 0.2407 | 0.7123 | 0.8440 |
No log | 0.48 | 24 | 0.6686 | 0.2963 | 0.6686 | 0.8177 |
No log | 0.52 | 26 | 0.6946 | 0.2041 | 0.6946 | 0.8334 |
No log | 0.56 | 28 | 0.9998 | 0.0975 | 0.9998 | 0.9999 |
No log | 0.6 | 30 | 1.1047 | 0.1265 | 1.1047 | 1.0510 |
No log | 0.64 | 32 | 0.9848 | 0.0651 | 0.9848 | 0.9924 |
No log | 0.68 | 34 | 0.8076 | 0.1714 | 0.8076 | 0.8987 |
No log | 0.72 | 36 | 0.6670 | 0.2412 | 0.6670 | 0.8167 |
No log | 0.76 | 38 | 0.7052 | 0.3238 | 0.7052 | 0.8398 |
No log | 0.8 | 40 | 0.7228 | 0.3099 | 0.7228 | 0.8502 |
No log | 0.84 | 42 | 0.6196 | 0.3673 | 0.6196 | 0.7871 |
No log | 0.88 | 44 | 0.5745 | 0.4709 | 0.5745 | 0.7579 |
No log | 0.92 | 46 | 0.5651 | 0.4538 | 0.5651 | 0.7517 |
No log | 0.96 | 48 | 0.5628 | 0.5470 | 0.5628 | 0.7502 |
No log | 1.0 | 50 | 0.7374 | 0.3693 | 0.7374 | 0.8587 |
No log | 1.04 | 52 | 1.0917 | 0.2214 | 1.0917 | 1.0449 |
No log | 1.08 | 54 | 1.1289 | 0.2439 | 1.1289 | 1.0625 |
No log | 1.12 | 56 | 0.9948 | 0.2658 | 0.9948 | 0.9974 |
No log | 1.16 | 58 | 0.9209 | 0.2273 | 0.9209 | 0.9596 |
No log | 1.2 | 60 | 0.8068 | 0.2817 | 0.8068 | 0.8982 |
No log | 1.24 | 62 | 0.6364 | 0.3829 | 0.6364 | 0.7978 |
No log | 1.28 | 64 | 0.6023 | 0.3633 | 0.6023 | 0.7761 |
No log | 1.32 | 66 | 0.5990 | 0.2641 | 0.5990 | 0.7740 |
No log | 1.3600 | 68 | 0.5737 | 0.4007 | 0.5737 | 0.7575 |
No log | 1.4 | 70 | 0.5646 | 0.4238 | 0.5646 | 0.7514 |
No log | 1.44 | 72 | 0.5500 | 0.3274 | 0.5500 | 0.7417 |
No log | 1.48 | 74 | 0.5849 | 0.2817 | 0.5849 | 0.7648 |
No log | 1.52 | 76 | 0.6114 | 0.2851 | 0.6114 | 0.7819 |
No log | 1.56 | 78 | 0.6346 | 0.3506 | 0.6346 | 0.7966 |
No log | 1.6 | 80 | 0.6331 | 0.3477 | 0.6331 | 0.7957 |
No log | 1.6400 | 82 | 0.6272 | 0.3446 | 0.6272 | 0.7919 |
No log | 1.6800 | 84 | 0.6046 | 0.2890 | 0.6046 | 0.7775 |
No log | 1.72 | 86 | 0.6001 | 0.2890 | 0.6001 | 0.7747 |
No log | 1.76 | 88 | 0.6039 | 0.3866 | 0.6039 | 0.7771 |
No log | 1.8 | 90 | 0.6017 | 0.3701 | 0.6017 | 0.7757 |
No log | 1.8400 | 92 | 0.5704 | 0.4729 | 0.5704 | 0.7553 |
No log | 1.88 | 94 | 0.5891 | 0.4677 | 0.5891 | 0.7675 |
No log | 1.92 | 96 | 0.6263 | 0.4537 | 0.6263 | 0.7914 |
No log | 1.96 | 98 | 0.6160 | 0.4969 | 0.6160 | 0.7849 |
No log | 2.0 | 100 | 0.5127 | 0.4358 | 0.5127 | 0.7160 |
No log | 2.04 | 102 | 0.5279 | 0.4855 | 0.5279 | 0.7266 |
No log | 2.08 | 104 | 0.5255 | 0.4769 | 0.5255 | 0.7249 |
No log | 2.12 | 106 | 0.5069 | 0.4973 | 0.5069 | 0.7120 |
No log | 2.16 | 108 | 0.6200 | 0.5267 | 0.6200 | 0.7874 |
No log | 2.2 | 110 | 0.8134 | 0.5167 | 0.8134 | 0.9019 |
No log | 2.24 | 112 | 0.8133 | 0.4993 | 0.8133 | 0.9018 |
No log | 2.2800 | 114 | 0.8409 | 0.3942 | 0.8409 | 0.9170 |
No log | 2.32 | 116 | 0.7301 | 0.4383 | 0.7301 | 0.8545 |
No log | 2.36 | 118 | 0.5747 | 0.5400 | 0.5747 | 0.7581 |
No log | 2.4 | 120 | 0.4916 | 0.5022 | 0.4916 | 0.7011 |
No log | 2.44 | 122 | 0.6211 | 0.4303 | 0.6211 | 0.7881 |
No log | 2.48 | 124 | 0.6746 | 0.4716 | 0.6746 | 0.8213 |
No log | 2.52 | 126 | 0.6074 | 0.4568 | 0.6074 | 0.7794 |
No log | 2.56 | 128 | 0.5660 | 0.5050 | 0.5660 | 0.7523 |
No log | 2.6 | 130 | 0.5394 | 0.4817 | 0.5394 | 0.7344 |
No log | 2.64 | 132 | 0.5561 | 0.5117 | 0.5561 | 0.7457 |
No log | 2.68 | 134 | 0.6166 | 0.6154 | 0.6166 | 0.7853 |
No log | 2.7200 | 136 | 0.5806 | 0.6154 | 0.5806 | 0.7620 |
No log | 2.76 | 138 | 0.5291 | 0.5518 | 0.5291 | 0.7274 |
No log | 2.8 | 140 | 0.6548 | 0.5614 | 0.6548 | 0.8092 |
No log | 2.84 | 142 | 0.7484 | 0.4199 | 0.7484 | 0.8651 |
No log | 2.88 | 144 | 0.6987 | 0.4353 | 0.6987 | 0.8359 |
No log | 2.92 | 146 | 0.5894 | 0.4356 | 0.5894 | 0.7677 |
No log | 2.96 | 148 | 0.5429 | 0.5463 | 0.5429 | 0.7368 |
No log | 3.0 | 150 | 0.5429 | 0.4762 | 0.5429 | 0.7368 |
No log | 3.04 | 152 | 0.5881 | 0.3890 | 0.5881 | 0.7669 |
No log | 3.08 | 154 | 0.7048 | 0.3305 | 0.7048 | 0.8395 |
No log | 3.12 | 156 | 0.7130 | 0.3475 | 0.7130 | 0.8444 |
No log | 3.16 | 158 | 0.6015 | 0.3914 | 0.6015 | 0.7756 |
No log | 3.2 | 160 | 0.5330 | 0.5357 | 0.5330 | 0.7301 |
No log | 3.24 | 162 | 0.5635 | 0.5779 | 0.5635 | 0.7507 |
No log | 3.2800 | 164 | 0.6024 | 0.5765 | 0.6024 | 0.7762 |
No log | 3.32 | 166 | 0.6626 | 0.5441 | 0.6626 | 0.8140 |
No log | 3.36 | 168 | 0.6894 | 0.5441 | 0.6894 | 0.8303 |
No log | 3.4 | 170 | 0.6918 | 0.5502 | 0.6918 | 0.8318 |
No log | 3.44 | 172 | 0.5847 | 0.6445 | 0.5847 | 0.7647 |
No log | 3.48 | 174 | 0.5332 | 0.6156 | 0.5332 | 0.7302 |
No log | 3.52 | 176 | 0.5292 | 0.5956 | 0.5292 | 0.7274 |
No log | 3.56 | 178 | 0.5661 | 0.5779 | 0.5661 | 0.7524 |
No log | 3.6 | 180 | 0.6489 | 0.5752 | 0.6489 | 0.8055 |
No log | 3.64 | 182 | 0.6117 | 0.5696 | 0.6117 | 0.7821 |
No log | 3.68 | 184 | 0.5219 | 0.5826 | 0.5219 | 0.7225 |
No log | 3.7200 | 186 | 0.5343 | 0.5184 | 0.5343 | 0.7310 |
No log | 3.76 | 188 | 0.6267 | 0.4556 | 0.6267 | 0.7916 |
No log | 3.8 | 190 | 0.6250 | 0.5195 | 0.6250 | 0.7905 |
No log | 3.84 | 192 | 0.6173 | 0.4794 | 0.6173 | 0.7857 |
No log | 3.88 | 194 | 0.5674 | 0.4340 | 0.5674 | 0.7533 |
No log | 3.92 | 196 | 0.5695 | 0.4478 | 0.5695 | 0.7546 |
No log | 3.96 | 198 | 0.5560 | 0.5044 | 0.5560 | 0.7456 |
No log | 4.0 | 200 | 0.5479 | 0.5214 | 0.5479 | 0.7402 |
No log | 4.04 | 202 | 0.5409 | 0.5165 | 0.5409 | 0.7354 |
No log | 4.08 | 204 | 0.5493 | 0.4772 | 0.5493 | 0.7411 |
No log | 4.12 | 206 | 0.5523 | 0.4374 | 0.5523 | 0.7431 |
No log | 4.16 | 208 | 0.5666 | 0.4644 | 0.5666 | 0.7527 |
No log | 4.2 | 210 | 0.5274 | 0.4601 | 0.5274 | 0.7262 |
No log | 4.24 | 212 | 0.5524 | 0.5268 | 0.5524 | 0.7432 |
No log | 4.28 | 214 | 0.6265 | 0.5793 | 0.6265 | 0.7915 |
No log | 4.32 | 216 | 0.6184 | 0.5793 | 0.6184 | 0.7864 |
No log | 4.36 | 218 | 0.6912 | 0.5186 | 0.6912 | 0.8314 |
No log | 4.4 | 220 | 0.6006 | 0.5283 | 0.6006 | 0.7750 |
No log | 4.44 | 222 | 0.5609 | 0.5359 | 0.5609 | 0.7489 |
No log | 4.48 | 224 | 0.5705 | 0.5717 | 0.5705 | 0.7553 |
No log | 4.52 | 226 | 0.5613 | 0.5717 | 0.5613 | 0.7492 |
No log | 4.5600 | 228 | 0.5204 | 0.5878 | 0.5204 | 0.7214 |
No log | 4.6 | 230 | 0.5446 | 0.5226 | 0.5446 | 0.7380 |
No log | 4.64 | 232 | 0.5585 | 0.5275 | 0.5585 | 0.7474 |
No log | 4.68 | 234 | 0.5242 | 0.5341 | 0.5242 | 0.7240 |
No log | 4.72 | 236 | 0.5010 | 0.5930 | 0.5010 | 0.7078 |
No log | 4.76 | 238 | 0.4960 | 0.5698 | 0.4960 | 0.7043 |
No log | 4.8 | 240 | 0.4983 | 0.5326 | 0.4983 | 0.7059 |
No log | 4.84 | 242 | 0.5088 | 0.4883 | 0.5088 | 0.7133 |
No log | 4.88 | 244 | 0.5046 | 0.4986 | 0.5046 | 0.7103 |
No log | 4.92 | 246 | 0.4877 | 0.5625 | 0.4877 | 0.6983 |
No log | 4.96 | 248 | 0.4897 | 0.6503 | 0.4897 | 0.6998 |
No log | 5.0 | 250 | 0.4784 | 0.5915 | 0.4784 | 0.6917 |
No log | 5.04 | 252 | 0.4721 | 0.5565 | 0.4721 | 0.6871 |
No log | 5.08 | 254 | 0.5047 | 0.5945 | 0.5047 | 0.7104 |
No log | 5.12 | 256 | 0.5624 | 0.5765 | 0.5624 | 0.7499 |
No log | 5.16 | 258 | 0.5078 | 0.5445 | 0.5078 | 0.7126 |
No log | 5.2 | 260 | 0.4717 | 0.5904 | 0.4717 | 0.6868 |
No log | 5.24 | 262 | 0.4646 | 0.6154 | 0.4646 | 0.6816 |
No log | 5.28 | 264 | 0.4639 | 0.5457 | 0.4639 | 0.6811 |
No log | 5.32 | 266 | 0.4713 | 0.4746 | 0.4713 | 0.6865 |
No log | 5.36 | 268 | 0.4849 | 0.4746 | 0.4849 | 0.6963 |
No log | 5.4 | 270 | 0.5242 | 0.5449 | 0.5242 | 0.7240 |
No log | 5.44 | 272 | 0.5075 | 0.5432 | 0.5075 | 0.7124 |
No log | 5.48 | 274 | 0.4706 | 0.5010 | 0.4706 | 0.6860 |
No log | 5.52 | 276 | 0.4722 | 0.5246 | 0.4722 | 0.6871 |
No log | 5.5600 | 278 | 0.4673 | 0.5831 | 0.4673 | 0.6836 |
No log | 5.6 | 280 | 0.4655 | 0.5800 | 0.4655 | 0.6823 |
No log | 5.64 | 282 | 0.4669 | 0.5440 | 0.4669 | 0.6833 |
No log | 5.68 | 284 | 0.4945 | 0.5947 | 0.4945 | 0.7032 |
No log | 5.72 | 286 | 0.6726 | 0.5223 | 0.6726 | 0.8201 |
No log | 5.76 | 288 | 0.6738 | 0.5281 | 0.6738 | 0.8208 |
No log | 5.8 | 290 | 0.5238 | 0.5650 | 0.5238 | 0.7238 |
No log | 5.84 | 292 | 0.4784 | 0.5320 | 0.4784 | 0.6916 |
No log | 5.88 | 294 | 0.4983 | 0.4838 | 0.4983 | 0.7059 |
No log | 5.92 | 296 | 0.4824 | 0.5003 | 0.4824 | 0.6945 |
No log | 5.96 | 298 | 0.4814 | 0.6053 | 0.4814 | 0.6938 |
No log | 6.0 | 300 | 0.5050 | 0.6342 | 0.5050 | 0.7106 |
No log | 6.04 | 302 | 0.4937 | 0.6141 | 0.4937 | 0.7026 |
No log | 6.08 | 304 | 0.4940 | 0.6342 | 0.4940 | 0.7028 |
No log | 6.12 | 306 | 0.4685 | 0.5548 | 0.4685 | 0.6845 |
No log | 6.16 | 308 | 0.5418 | 0.6005 | 0.5418 | 0.7361 |
No log | 6.2 | 310 | 0.6455 | 0.5309 | 0.6455 | 0.8034 |
No log | 6.24 | 312 | 0.5924 | 0.5494 | 0.5924 | 0.7697 |
No log | 6.28 | 314 | 0.4890 | 0.5708 | 0.4890 | 0.6993 |
No log | 6.32 | 316 | 0.4769 | 0.5571 | 0.4769 | 0.6906 |
No log | 6.36 | 318 | 0.5212 | 0.5513 | 0.5212 | 0.7219 |
No log | 6.4 | 320 | 0.5715 | 0.5862 | 0.5715 | 0.7560 |
No log | 6.44 | 322 | 0.5227 | 0.5621 | 0.5227 | 0.7230 |
No log | 6.48 | 324 | 0.4817 | 0.5840 | 0.4817 | 0.6940 |
No log | 6.52 | 326 | 0.5440 | 0.5072 | 0.5440 | 0.7376 |
No log | 6.5600 | 328 | 0.5574 | 0.5126 | 0.5574 | 0.7466 |
No log | 6.6 | 330 | 0.4992 | 0.4847 | 0.4992 | 0.7066 |
No log | 6.64 | 332 | 0.4937 | 0.5512 | 0.4937 | 0.7026 |
No log | 6.68 | 334 | 0.6117 | 0.5543 | 0.6117 | 0.7821 |
No log | 6.72 | 336 | 0.6986 | 0.4844 | 0.6986 | 0.8358 |
No log | 6.76 | 338 | 0.6354 | 0.5281 | 0.6354 | 0.7971 |
No log | 6.8 | 340 | 0.5170 | 0.5512 | 0.5170 | 0.7190 |
No log | 6.84 | 342 | 0.4617 | 0.5286 | 0.4617 | 0.6795 |
No log | 6.88 | 344 | 0.4616 | 0.5095 | 0.4616 | 0.6794 |
No log | 6.92 | 346 | 0.4567 | 0.5929 | 0.4567 | 0.6758 |
No log | 6.96 | 348 | 0.4984 | 0.5779 | 0.4984 | 0.7059 |
No log | 7.0 | 350 | 0.6477 | 0.5209 | 0.6477 | 0.8048 |
No log | 7.04 | 352 | 0.7219 | 0.5226 | 0.7219 | 0.8497 |
No log | 7.08 | 354 | 0.5991 | 0.5516 | 0.5991 | 0.7740 |
No log | 7.12 | 356 | 0.5062 | 0.6716 | 0.5062 | 0.7115 |
No log | 7.16 | 358 | 0.5068 | 0.6361 | 0.5068 | 0.7119 |
No log | 7.2 | 360 | 0.4679 | 0.6514 | 0.4679 | 0.6841 |
No log | 7.24 | 362 | 0.4439 | 0.5953 | 0.4439 | 0.6662 |
No log | 7.28 | 364 | 0.4523 | 0.5853 | 0.4523 | 0.6726 |
No log | 7.32 | 366 | 0.4553 | 0.6040 | 0.4553 | 0.6748 |
No log | 7.36 | 368 | 0.4854 | 0.6141 | 0.4854 | 0.6967 |
No log | 7.4 | 370 | 0.4878 | 0.5733 | 0.4878 | 0.6984 |
No log | 7.44 | 372 | 0.4710 | 0.5283 | 0.4710 | 0.6863 |
No log | 7.48 | 374 | 0.4586 | 0.5475 | 0.4586 | 0.6772 |
No log | 7.52 | 376 | 0.4691 | 0.5687 | 0.4691 | 0.6849 |
No log | 7.5600 | 378 | 0.4931 | 0.5692 | 0.4931 | 0.7022 |
No log | 7.6 | 380 | 0.4821 | 0.5756 | 0.4821 | 0.6943 |
No log | 7.64 | 382 | 0.4581 | 0.6572 | 0.4581 | 0.6768 |
No log | 7.68 | 384 | 0.4743 | 0.6515 | 0.4743 | 0.6887 |
No log | 7.72 | 386 | 0.4918 | 0.6445 | 0.4918 | 0.7013 |
No log | 7.76 | 388 | 0.5228 | 0.6470 | 0.5228 | 0.7230 |
No log | 7.8 | 390 | 0.4867 | 0.6783 | 0.4867 | 0.6976 |
No log | 7.84 | 392 | 0.4723 | 0.5913 | 0.4723 | 0.6873 |
No log | 7.88 | 394 | 0.5149 | 0.5876 | 0.5149 | 0.7176 |
No log | 7.92 | 396 | 0.5154 | 0.5761 | 0.5154 | 0.7179 |
No log | 7.96 | 398 | 0.4777 | 0.5756 | 0.4777 | 0.6911 |
No log | 8.0 | 400 | 0.4897 | 0.6146 | 0.4897 | 0.6998 |
No log | 8.04 | 402 | 0.5183 | 0.6633 | 0.5183 | 0.7199 |
No log | 8.08 | 404 | 0.5019 | 0.6793 | 0.5019 | 0.7084 |
No log | 8.12 | 406 | 0.4572 | 0.5939 | 0.4572 | 0.6762 |
No log | 8.16 | 408 | 0.4813 | 0.6018 | 0.4813 | 0.6937 |
No log | 8.2 | 410 | 0.5077 | 0.6101 | 0.5077 | 0.7125 |
No log | 8.24 | 412 | 0.4823 | 0.6083 | 0.4823 | 0.6945 |
No log | 8.28 | 414 | 0.4778 | 0.6009 | 0.4778 | 0.6912 |
No log | 8.32 | 416 | 0.4936 | 0.5865 | 0.4936 | 0.7026 |
No log | 8.36 | 418 | 0.5456 | 0.5396 | 0.5456 | 0.7387 |
No log | 8.4 | 420 | 0.5782 | 0.5354 | 0.5782 | 0.7604 |
No log | 8.44 | 422 | 0.5427 | 0.5705 | 0.5427 | 0.7367 |
No log | 8.48 | 424 | 0.4997 | 0.5272 | 0.4997 | 0.7069 |
No log | 8.52 | 426 | 0.4630 | 0.6156 | 0.4630 | 0.6804 |
No log | 8.56 | 428 | 0.5106 | 0.5621 | 0.5106 | 0.7146 |
No log | 8.6 | 430 | 0.5387 | 0.5445 | 0.5387 | 0.7339 |
No log | 8.64 | 432 | 0.5006 | 0.5627 | 0.5006 | 0.7075 |
No log | 8.68 | 434 | 0.4790 | 0.6330 | 0.4790 | 0.6921 |
No log | 8.72 | 436 | 0.5265 | 0.6080 | 0.5265 | 0.7256 |
No log | 8.76 | 438 | 0.5393 | 0.6269 | 0.5393 | 0.7344 |
No log | 8.8 | 440 | 0.5121 | 0.5985 | 0.5121 | 0.7156 |
No log | 8.84 | 442 | 0.5141 | 0.6184 | 0.5141 | 0.7170 |
No log | 8.88 | 444 | 0.5104 | 0.5692 | 0.5104 | 0.7145 |
No log | 8.92 | 446 | 0.4743 | 0.6477 | 0.4743 | 0.6887 |
No log | 8.96 | 448 | 0.4673 | 0.6330 | 0.4673 | 0.6836 |
No log | 9.0 | 450 | 0.4655 | 0.6017 | 0.4655 | 0.6823 |
No log | 9.04 | 452 | 0.4667 | 0.6068 | 0.4667 | 0.6831 |
No log | 9.08 | 454 | 0.4743 | 0.5999 | 0.4743 | 0.6887 |
No log | 9.12 | 456 | 0.4597 | 0.5875 | 0.4597 | 0.6780 |
No log | 9.16 | 458 | 0.4568 | 0.5979 | 0.4568 | 0.6758 |
No log | 9.2 | 460 | 0.4666 | 0.5783 | 0.4666 | 0.6831 |
No log | 9.24 | 462 | 0.5043 | 0.5861 | 0.5043 | 0.7101 |
No log | 9.28 | 464 | 0.5210 | 0.5683 | 0.5210 | 0.7218 |
No log | 9.32 | 466 | 0.4673 | 0.6182 | 0.4673 | 0.6836 |
No log | 9.36 | 468 | 0.4505 | 0.6071 | 0.4505 | 0.6712 |
No log | 9.4 | 470 | 0.4449 | 0.6121 | 0.4449 | 0.6670 |
No log | 9.44 | 472 | 0.4507 | 0.5669 | 0.4507 | 0.6713 |
No log | 9.48 | 474 | 0.4888 | 0.6004 | 0.4888 | 0.6991 |
No log | 9.52 | 476 | 0.5194 | 0.6030 | 0.5194 | 0.7207 |
No log | 9.56 | 478 | 0.4999 | 0.5895 | 0.4999 | 0.7070 |
No log | 9.6 | 480 | 0.4755 | 0.6186 | 0.4755 | 0.6896 |
No log | 9.64 | 482 | 0.4889 | 0.5991 | 0.4889 | 0.6992 |
No log | 9.68 | 484 | 0.4789 | 0.5923 | 0.4789 | 0.6920 |
No log | 9.72 | 486 | 0.4791 | 0.5672 | 0.4791 | 0.6922 |
No log | 9.76 | 488 | 0.4849 | 0.5248 | 0.4849 | 0.6963 |
No log | 9.8 | 490 | 0.4842 | 0.4942 | 0.4842 | 0.6959 |
No log | 9.84 | 492 | 0.4981 | 0.4960 | 0.4981 | 0.7058 |
No log | 9.88 | 494 | 0.5194 | 0.5513 | 0.5194 | 0.7207 |
No log | 9.92 | 496 | 0.5231 | 0.5513 | 0.5231 | 0.7233 |
No log | 9.96 | 498 | 0.5218 | 0.5553 | 0.5218 | 0.7224 |
0.3903 | 10.0 | 500 | 0.5106 | 0.5335 | 0.5106 | 0.7146 |
0.3903 | 10.04 | 502 | 0.5077 | 0.5217 | 0.5077 | 0.7125 |
0.3903 | 10.08 | 504 | 0.5159 | 0.5647 | 0.5159 | 0.7182 |
0.3903 | 10.12 | 506 | 0.5111 | 0.4613 | 0.5111 | 0.7149 |
0.3903 | 10.16 | 508 | 0.4971 | 0.5010 | 0.4971 | 0.7051 |
0.3903 | 10.2 | 510 | 0.5194 | 0.5144 | 0.5194 | 0.7207 |
0.3903 | 10.24 | 512 | 0.6029 | 0.4909 | 0.6029 | 0.7764 |
0.3903 | 10.28 | 514 | 0.6566 | 0.4890 | 0.6566 | 0.8103 |
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_run3_AugV5_k20_task7_organization
Base model
aubmindlab/bert-base-arabertv02