ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_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: 0.4863
- Qwk: 0.5166
- Mse: 0.4863
- Rmse: 0.6973
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 | 0.0267 | 2 | 2.6891 | -0.0262 | 2.6891 | 1.6399 |
| No log | 0.0533 | 4 | 1.9603 | 0.0987 | 1.9603 | 1.4001 |
| No log | 0.08 | 6 | 1.0422 | 0.1271 | 1.0422 | 1.0209 |
| No log | 0.1067 | 8 | 0.8651 | -0.0483 | 0.8651 | 0.9301 |
| No log | 0.1333 | 10 | 0.9843 | -0.0079 | 0.9843 | 0.9921 |
| No log | 0.16 | 12 | 0.9665 | 0.0208 | 0.9665 | 0.9831 |
| No log | 0.1867 | 14 | 0.8735 | 0.2527 | 0.8735 | 0.9346 |
| No log | 0.2133 | 16 | 0.8319 | 0.2345 | 0.8319 | 0.9121 |
| No log | 0.24 | 18 | 0.8274 | 0.2171 | 0.8274 | 0.9096 |
| No log | 0.2667 | 20 | 0.8108 | 0.4624 | 0.8108 | 0.9004 |
| No log | 0.2933 | 22 | 0.7509 | 0.3972 | 0.7509 | 0.8666 |
| No log | 0.32 | 24 | 0.7332 | 0.3312 | 0.7332 | 0.8563 |
| No log | 0.3467 | 26 | 0.7208 | 0.2027 | 0.7208 | 0.8490 |
| No log | 0.3733 | 28 | 0.8265 | -0.0099 | 0.8265 | 0.9091 |
| No log | 0.4 | 30 | 0.6655 | 0.2270 | 0.6655 | 0.8158 |
| No log | 0.4267 | 32 | 0.5795 | 0.2751 | 0.5795 | 0.7613 |
| No log | 0.4533 | 34 | 0.5708 | 0.2751 | 0.5708 | 0.7555 |
| No log | 0.48 | 36 | 0.5362 | 0.3092 | 0.5362 | 0.7323 |
| No log | 0.5067 | 38 | 0.6120 | 0.4930 | 0.6120 | 0.7823 |
| No log | 0.5333 | 40 | 0.7870 | 0.4702 | 0.7870 | 0.8871 |
| No log | 0.56 | 42 | 0.9655 | 0.3706 | 0.9655 | 0.9826 |
| No log | 0.5867 | 44 | 0.7912 | 0.4209 | 0.7912 | 0.8895 |
| No log | 0.6133 | 46 | 0.5007 | 0.6113 | 0.5007 | 0.7076 |
| No log | 0.64 | 48 | 0.5049 | 0.5657 | 0.5049 | 0.7106 |
| No log | 0.6667 | 50 | 0.6485 | 0.5093 | 0.6485 | 0.8053 |
| No log | 0.6933 | 52 | 0.6583 | 0.4687 | 0.6583 | 0.8114 |
| No log | 0.72 | 54 | 0.5484 | 0.4713 | 0.5484 | 0.7405 |
| No log | 0.7467 | 56 | 0.5590 | 0.4354 | 0.5590 | 0.7477 |
| No log | 0.7733 | 58 | 0.6996 | 0.4307 | 0.6996 | 0.8364 |
| No log | 0.8 | 60 | 0.7437 | 0.4328 | 0.7437 | 0.8624 |
| No log | 0.8267 | 62 | 0.6392 | 0.4030 | 0.6392 | 0.7995 |
| No log | 0.8533 | 64 | 0.4864 | 0.4983 | 0.4864 | 0.6974 |
| No log | 0.88 | 66 | 0.4858 | 0.4838 | 0.4858 | 0.6970 |
| No log | 0.9067 | 68 | 0.5019 | 0.4838 | 0.5019 | 0.7084 |
| No log | 0.9333 | 70 | 0.5000 | 0.4052 | 0.5000 | 0.7071 |
| No log | 0.96 | 72 | 0.5463 | 0.5131 | 0.5463 | 0.7391 |
| No log | 0.9867 | 74 | 0.6580 | 0.5342 | 0.6580 | 0.8112 |
| No log | 1.0133 | 76 | 0.6283 | 0.5294 | 0.6283 | 0.7927 |
| No log | 1.04 | 78 | 0.5385 | 0.5131 | 0.5385 | 0.7338 |
| No log | 1.0667 | 80 | 0.4826 | 0.5254 | 0.4826 | 0.6947 |
| No log | 1.0933 | 82 | 0.4665 | 0.6411 | 0.4665 | 0.6830 |
| No log | 1.12 | 84 | 0.4876 | 0.6441 | 0.4876 | 0.6983 |
| No log | 1.1467 | 86 | 0.5176 | 0.6430 | 0.5176 | 0.7194 |
| No log | 1.1733 | 88 | 0.5433 | 0.6499 | 0.5433 | 0.7371 |
| No log | 1.2 | 90 | 0.5803 | 0.6683 | 0.5803 | 0.7618 |
| No log | 1.2267 | 92 | 0.6653 | 0.5655 | 0.6653 | 0.8157 |
| No log | 1.2533 | 94 | 0.8024 | 0.4851 | 0.8024 | 0.8957 |
| No log | 1.28 | 96 | 0.8181 | 0.4548 | 0.8181 | 0.9045 |
| No log | 1.3067 | 98 | 0.7155 | 0.5372 | 0.7155 | 0.8459 |
| No log | 1.3333 | 100 | 0.6336 | 0.5742 | 0.6336 | 0.7960 |
| No log | 1.3600 | 102 | 0.5543 | 0.6060 | 0.5543 | 0.7445 |
| No log | 1.3867 | 104 | 0.5920 | 0.6075 | 0.5920 | 0.7694 |
| No log | 1.4133 | 106 | 0.6968 | 0.5747 | 0.6968 | 0.8347 |
| No log | 1.44 | 108 | 0.6611 | 0.5579 | 0.6611 | 0.8131 |
| No log | 1.4667 | 110 | 0.5488 | 0.5898 | 0.5488 | 0.7408 |
| No log | 1.4933 | 112 | 0.4963 | 0.6241 | 0.4963 | 0.7045 |
| No log | 1.52 | 114 | 0.4648 | 0.6339 | 0.4648 | 0.6818 |
| No log | 1.5467 | 116 | 0.4903 | 0.6141 | 0.4903 | 0.7002 |
| No log | 1.5733 | 118 | 0.4991 | 0.6282 | 0.4991 | 0.7065 |
| No log | 1.6 | 120 | 0.4762 | 0.6443 | 0.4762 | 0.6901 |
| No log | 1.6267 | 122 | 0.4793 | 0.6458 | 0.4793 | 0.6923 |
| No log | 1.6533 | 124 | 0.5093 | 0.5884 | 0.5093 | 0.7136 |
| No log | 1.6800 | 126 | 0.5132 | 0.5568 | 0.5132 | 0.7164 |
| No log | 1.7067 | 128 | 0.5545 | 0.5179 | 0.5545 | 0.7447 |
| No log | 1.7333 | 130 | 0.5678 | 0.5388 | 0.5678 | 0.7535 |
| No log | 1.76 | 132 | 0.5799 | 0.5839 | 0.5799 | 0.7615 |
| No log | 1.7867 | 134 | 0.6042 | 0.5518 | 0.6042 | 0.7773 |
| No log | 1.8133 | 136 | 0.6802 | 0.5903 | 0.6802 | 0.8248 |
| No log | 1.8400 | 138 | 0.6655 | 0.5903 | 0.6655 | 0.8158 |
| No log | 1.8667 | 140 | 0.5588 | 0.5810 | 0.5588 | 0.7476 |
| No log | 1.8933 | 142 | 0.4953 | 0.6505 | 0.4953 | 0.7038 |
| No log | 1.92 | 144 | 0.5054 | 0.5754 | 0.5054 | 0.7109 |
| No log | 1.9467 | 146 | 0.4865 | 0.6185 | 0.4865 | 0.6975 |
| No log | 1.9733 | 148 | 0.6066 | 0.5382 | 0.6066 | 0.7788 |
| No log | 2.0 | 150 | 0.7646 | 0.4831 | 0.7646 | 0.8744 |
| No log | 2.0267 | 152 | 0.6587 | 0.4979 | 0.6587 | 0.8116 |
| No log | 2.0533 | 154 | 0.5019 | 0.6063 | 0.5019 | 0.7084 |
| No log | 2.08 | 156 | 0.4758 | 0.6145 | 0.4758 | 0.6898 |
| No log | 2.1067 | 158 | 0.4823 | 0.6239 | 0.4823 | 0.6945 |
| No log | 2.1333 | 160 | 0.5159 | 0.6124 | 0.5159 | 0.7183 |
| No log | 2.16 | 162 | 0.5473 | 0.5644 | 0.5473 | 0.7398 |
| No log | 2.1867 | 164 | 0.5227 | 0.6016 | 0.5227 | 0.7230 |
| No log | 2.2133 | 166 | 0.4904 | 0.6199 | 0.4904 | 0.7003 |
| No log | 2.24 | 168 | 0.4690 | 0.5742 | 0.4690 | 0.6848 |
| No log | 2.2667 | 170 | 0.4630 | 0.6365 | 0.4630 | 0.6804 |
| No log | 2.2933 | 172 | 0.4947 | 0.5799 | 0.4947 | 0.7034 |
| No log | 2.32 | 174 | 0.5929 | 0.5947 | 0.5929 | 0.7700 |
| No log | 2.3467 | 176 | 0.5905 | 0.5813 | 0.5905 | 0.7684 |
| No log | 2.3733 | 178 | 0.5360 | 0.5511 | 0.5360 | 0.7321 |
| No log | 2.4 | 180 | 0.4778 | 0.6021 | 0.4778 | 0.6912 |
| No log | 2.4267 | 182 | 0.4802 | 0.6827 | 0.4802 | 0.6929 |
| No log | 2.4533 | 184 | 0.5215 | 0.6187 | 0.5215 | 0.7221 |
| No log | 2.48 | 186 | 0.6997 | 0.4588 | 0.6997 | 0.8365 |
| No log | 2.5067 | 188 | 0.8259 | 0.4321 | 0.8259 | 0.9088 |
| No log | 2.5333 | 190 | 0.9421 | 0.4657 | 0.9421 | 0.9706 |
| No log | 2.56 | 192 | 0.8685 | 0.4427 | 0.8685 | 0.9319 |
| No log | 2.5867 | 194 | 0.7315 | 0.4687 | 0.7315 | 0.8553 |
| No log | 2.6133 | 196 | 0.5836 | 0.4036 | 0.5836 | 0.7640 |
| No log | 2.64 | 198 | 0.5192 | 0.4352 | 0.5192 | 0.7206 |
| No log | 2.6667 | 200 | 0.4763 | 0.5569 | 0.4763 | 0.6901 |
| No log | 2.6933 | 202 | 0.4885 | 0.5884 | 0.4885 | 0.6989 |
| No log | 2.7200 | 204 | 0.5813 | 0.5392 | 0.5813 | 0.7624 |
| No log | 2.7467 | 206 | 0.6155 | 0.5664 | 0.6155 | 0.7845 |
| No log | 2.7733 | 208 | 0.5905 | 0.5361 | 0.5905 | 0.7684 |
| No log | 2.8 | 210 | 0.5109 | 0.5935 | 0.5109 | 0.7148 |
| No log | 2.8267 | 212 | 0.4576 | 0.5939 | 0.4576 | 0.6764 |
| No log | 2.8533 | 214 | 0.4567 | 0.5912 | 0.4567 | 0.6758 |
| No log | 2.88 | 216 | 0.4786 | 0.5577 | 0.4786 | 0.6918 |
| No log | 2.9067 | 218 | 0.5312 | 0.5497 | 0.5312 | 0.7288 |
| No log | 2.9333 | 220 | 0.6459 | 0.5460 | 0.6459 | 0.8037 |
| No log | 2.96 | 222 | 0.7384 | 0.5481 | 0.7384 | 0.8593 |
| No log | 2.9867 | 224 | 0.6496 | 0.5152 | 0.6496 | 0.8060 |
| No log | 3.0133 | 226 | 0.5770 | 0.4904 | 0.5770 | 0.7596 |
| No log | 3.04 | 228 | 0.5088 | 0.6082 | 0.5088 | 0.7133 |
| No log | 3.0667 | 230 | 0.5071 | 0.4962 | 0.5071 | 0.7121 |
| No log | 3.0933 | 232 | 0.5594 | 0.4602 | 0.5594 | 0.7479 |
| No log | 3.12 | 234 | 0.7298 | 0.4784 | 0.7298 | 0.8543 |
| No log | 3.1467 | 236 | 0.7831 | 0.4533 | 0.7831 | 0.8849 |
| No log | 3.1733 | 238 | 0.6298 | 0.5008 | 0.6298 | 0.7936 |
| No log | 3.2 | 240 | 0.5233 | 0.5223 | 0.5233 | 0.7234 |
| No log | 3.2267 | 242 | 0.4843 | 0.5951 | 0.4843 | 0.6959 |
| No log | 3.2533 | 244 | 0.4879 | 0.6173 | 0.4879 | 0.6985 |
| No log | 3.2800 | 246 | 0.5193 | 0.6025 | 0.5193 | 0.7206 |
| No log | 3.3067 | 248 | 0.5696 | 0.4916 | 0.5696 | 0.7547 |
| No log | 3.3333 | 250 | 0.6272 | 0.5179 | 0.6272 | 0.7920 |
| No log | 3.36 | 252 | 0.7808 | 0.5002 | 0.7808 | 0.8836 |
| No log | 3.3867 | 254 | 0.8536 | 0.4442 | 0.8536 | 0.9239 |
| No log | 3.4133 | 256 | 0.7518 | 0.4779 | 0.7518 | 0.8670 |
| No log | 3.44 | 258 | 0.5946 | 0.5293 | 0.5946 | 0.7711 |
| No log | 3.4667 | 260 | 0.5620 | 0.6038 | 0.5620 | 0.7497 |
| No log | 3.4933 | 262 | 0.5511 | 0.6404 | 0.5511 | 0.7424 |
| No log | 3.52 | 264 | 0.5696 | 0.5658 | 0.5696 | 0.7547 |
| No log | 3.5467 | 266 | 0.6460 | 0.5167 | 0.6460 | 0.8038 |
| No log | 3.5733 | 268 | 0.7539 | 0.4716 | 0.7539 | 0.8683 |
| No log | 3.6 | 270 | 0.7422 | 0.4716 | 0.7422 | 0.8615 |
| No log | 3.6267 | 272 | 0.6939 | 0.4768 | 0.6939 | 0.8330 |
| No log | 3.6533 | 274 | 0.5856 | 0.5631 | 0.5856 | 0.7652 |
| No log | 3.68 | 276 | 0.5371 | 0.5758 | 0.5371 | 0.7329 |
| No log | 3.7067 | 278 | 0.5573 | 0.5845 | 0.5573 | 0.7465 |
| No log | 3.7333 | 280 | 0.6477 | 0.5167 | 0.6477 | 0.8048 |
| No log | 3.76 | 282 | 0.7650 | 0.5157 | 0.7650 | 0.8747 |
| No log | 3.7867 | 284 | 0.7203 | 0.4837 | 0.7203 | 0.8487 |
| No log | 3.8133 | 286 | 0.6087 | 0.5325 | 0.6087 | 0.7802 |
| No log | 3.84 | 288 | 0.5101 | 0.5566 | 0.5101 | 0.7142 |
| No log | 3.8667 | 290 | 0.4883 | 0.6552 | 0.4883 | 0.6988 |
| No log | 3.8933 | 292 | 0.4811 | 0.5926 | 0.4811 | 0.6936 |
| No log | 3.92 | 294 | 0.4959 | 0.5574 | 0.4959 | 0.7042 |
| No log | 3.9467 | 296 | 0.5705 | 0.4980 | 0.5705 | 0.7553 |
| No log | 3.9733 | 298 | 0.6443 | 0.5387 | 0.6443 | 0.8027 |
| No log | 4.0 | 300 | 0.6070 | 0.4741 | 0.6070 | 0.7791 |
| No log | 4.0267 | 302 | 0.5201 | 0.5468 | 0.5201 | 0.7212 |
| No log | 4.0533 | 304 | 0.4797 | 0.5631 | 0.4797 | 0.6926 |
| No log | 4.08 | 306 | 0.4649 | 0.6076 | 0.4649 | 0.6819 |
| No log | 4.1067 | 308 | 0.4704 | 0.5868 | 0.4704 | 0.6858 |
| No log | 4.1333 | 310 | 0.5336 | 0.5059 | 0.5336 | 0.7305 |
| No log | 4.16 | 312 | 0.6037 | 0.5139 | 0.6037 | 0.7770 |
| No log | 4.1867 | 314 | 0.5673 | 0.5350 | 0.5673 | 0.7532 |
| No log | 4.2133 | 316 | 0.4880 | 0.6210 | 0.4880 | 0.6986 |
| No log | 4.24 | 318 | 0.4788 | 0.6388 | 0.4788 | 0.6919 |
| No log | 4.2667 | 320 | 0.4865 | 0.6388 | 0.4865 | 0.6975 |
| No log | 4.2933 | 322 | 0.5103 | 0.6314 | 0.5103 | 0.7143 |
| No log | 4.32 | 324 | 0.5257 | 0.6382 | 0.5257 | 0.7250 |
| No log | 4.3467 | 326 | 0.4993 | 0.6550 | 0.4993 | 0.7066 |
| No log | 4.3733 | 328 | 0.4672 | 0.6286 | 0.4672 | 0.6836 |
| No log | 4.4 | 330 | 0.4790 | 0.6100 | 0.4790 | 0.6921 |
| No log | 4.4267 | 332 | 0.5236 | 0.5484 | 0.5236 | 0.7236 |
| No log | 4.4533 | 334 | 0.5576 | 0.5123 | 0.5576 | 0.7467 |
| No log | 4.48 | 336 | 0.5086 | 0.5059 | 0.5086 | 0.7132 |
| No log | 4.5067 | 338 | 0.4685 | 0.5741 | 0.4685 | 0.6845 |
| No log | 4.5333 | 340 | 0.4389 | 0.6553 | 0.4389 | 0.6625 |
| No log | 4.5600 | 342 | 0.4394 | 0.6645 | 0.4394 | 0.6629 |
| No log | 4.5867 | 344 | 0.4681 | 0.5646 | 0.4681 | 0.6842 |
| No log | 4.6133 | 346 | 0.4980 | 0.5679 | 0.4980 | 0.7057 |
| No log | 4.64 | 348 | 0.4763 | 0.5679 | 0.4763 | 0.6901 |
| No log | 4.6667 | 350 | 0.4717 | 0.5865 | 0.4717 | 0.6868 |
| No log | 4.6933 | 352 | 0.4603 | 0.5528 | 0.4603 | 0.6784 |
| No log | 4.72 | 354 | 0.4622 | 0.5559 | 0.4622 | 0.6798 |
| No log | 4.7467 | 356 | 0.4998 | 0.5395 | 0.4998 | 0.7070 |
| No log | 4.7733 | 358 | 0.5718 | 0.4887 | 0.5718 | 0.7562 |
| No log | 4.8 | 360 | 0.6507 | 0.5050 | 0.6507 | 0.8066 |
| No log | 4.8267 | 362 | 0.7498 | 0.5073 | 0.7498 | 0.8659 |
| No log | 4.8533 | 364 | 0.7048 | 0.4756 | 0.7048 | 0.8396 |
| No log | 4.88 | 366 | 0.5864 | 0.3384 | 0.5864 | 0.7658 |
| No log | 4.9067 | 368 | 0.5312 | 0.4081 | 0.5312 | 0.7288 |
| No log | 4.9333 | 370 | 0.5175 | 0.4081 | 0.5175 | 0.7194 |
| No log | 4.96 | 372 | 0.5322 | 0.4408 | 0.5322 | 0.7295 |
| No log | 4.9867 | 374 | 0.6140 | 0.5007 | 0.6140 | 0.7836 |
| No log | 5.0133 | 376 | 0.7230 | 0.5242 | 0.7230 | 0.8503 |
| No log | 5.04 | 378 | 0.7063 | 0.4773 | 0.7063 | 0.8404 |
| No log | 5.0667 | 380 | 0.5851 | 0.4964 | 0.5851 | 0.7649 |
| No log | 5.0933 | 382 | 0.4866 | 0.5428 | 0.4866 | 0.6976 |
| No log | 5.12 | 384 | 0.4636 | 0.5533 | 0.4636 | 0.6809 |
| No log | 5.1467 | 386 | 0.4809 | 0.5715 | 0.4809 | 0.6935 |
| No log | 5.1733 | 388 | 0.6198 | 0.5457 | 0.6198 | 0.7873 |
| No log | 5.2 | 390 | 0.9038 | 0.4755 | 0.9038 | 0.9507 |
| No log | 5.2267 | 392 | 0.9654 | 0.4699 | 0.9654 | 0.9825 |
| No log | 5.2533 | 394 | 0.8437 | 0.4699 | 0.8437 | 0.9186 |
| No log | 5.28 | 396 | 0.6111 | 0.4592 | 0.6111 | 0.7817 |
| No log | 5.3067 | 398 | 0.4881 | 0.5517 | 0.4881 | 0.6986 |
| No log | 5.3333 | 400 | 0.4756 | 0.5875 | 0.4756 | 0.6896 |
| No log | 5.36 | 402 | 0.4773 | 0.6024 | 0.4773 | 0.6909 |
| No log | 5.3867 | 404 | 0.5194 | 0.5223 | 0.5194 | 0.7207 |
| No log | 5.4133 | 406 | 0.6801 | 0.5050 | 0.6801 | 0.8247 |
| No log | 5.44 | 408 | 0.8000 | 0.4655 | 0.8000 | 0.8944 |
| No log | 5.4667 | 410 | 0.7429 | 0.5139 | 0.7429 | 0.8619 |
| No log | 5.4933 | 412 | 0.6148 | 0.5008 | 0.6148 | 0.7841 |
| No log | 5.52 | 414 | 0.5814 | 0.5243 | 0.5814 | 0.7625 |
| No log | 5.5467 | 416 | 0.5813 | 0.5243 | 0.5813 | 0.7624 |
| No log | 5.5733 | 418 | 0.5459 | 0.5858 | 0.5459 | 0.7389 |
| No log | 5.6 | 420 | 0.4971 | 0.5514 | 0.4971 | 0.7051 |
| No log | 5.6267 | 422 | 0.4860 | 0.5646 | 0.4860 | 0.6971 |
| No log | 5.6533 | 424 | 0.4977 | 0.5715 | 0.4977 | 0.7055 |
| No log | 5.68 | 426 | 0.5371 | 0.5957 | 0.5371 | 0.7329 |
| No log | 5.7067 | 428 | 0.5455 | 0.5524 | 0.5455 | 0.7386 |
| No log | 5.7333 | 430 | 0.5152 | 0.5223 | 0.5152 | 0.7178 |
| No log | 5.76 | 432 | 0.4912 | 0.4966 | 0.4912 | 0.7009 |
| No log | 5.7867 | 434 | 0.4925 | 0.4966 | 0.4925 | 0.7018 |
| No log | 5.8133 | 436 | 0.5125 | 0.5098 | 0.5125 | 0.7159 |
| No log | 5.84 | 438 | 0.5402 | 0.5098 | 0.5402 | 0.7350 |
| No log | 5.8667 | 440 | 0.5344 | 0.5357 | 0.5344 | 0.7310 |
| No log | 5.8933 | 442 | 0.4912 | 0.5528 | 0.4912 | 0.7008 |
| No log | 5.92 | 444 | 0.4682 | 0.5404 | 0.4682 | 0.6843 |
| No log | 5.9467 | 446 | 0.4685 | 0.5404 | 0.4685 | 0.6845 |
| No log | 5.9733 | 448 | 0.4771 | 0.5840 | 0.4771 | 0.6907 |
| No log | 6.0 | 450 | 0.4829 | 0.5958 | 0.4829 | 0.6949 |
| No log | 6.0267 | 452 | 0.5044 | 0.6069 | 0.5044 | 0.7102 |
| No log | 6.0533 | 454 | 0.5333 | 0.5932 | 0.5333 | 0.7303 |
| No log | 6.08 | 456 | 0.5314 | 0.6221 | 0.5314 | 0.7290 |
| No log | 6.1067 | 458 | 0.4930 | 0.5920 | 0.4930 | 0.7022 |
| No log | 6.1333 | 460 | 0.4778 | 0.5632 | 0.4778 | 0.6912 |
| No log | 6.16 | 462 | 0.4727 | 0.5485 | 0.4727 | 0.6875 |
| No log | 6.1867 | 464 | 0.4700 | 0.5868 | 0.4700 | 0.6855 |
| No log | 6.2133 | 466 | 0.4774 | 0.5437 | 0.4774 | 0.6909 |
| No log | 6.24 | 468 | 0.5052 | 0.5237 | 0.5052 | 0.7108 |
| No log | 6.2667 | 470 | 0.5889 | 0.5326 | 0.5889 | 0.7674 |
| No log | 6.2933 | 472 | 0.6190 | 0.5523 | 0.6190 | 0.7868 |
| No log | 6.32 | 474 | 0.5694 | 0.5259 | 0.5694 | 0.7546 |
| No log | 6.3467 | 476 | 0.5116 | 0.5418 | 0.5116 | 0.7153 |
| No log | 6.3733 | 478 | 0.4576 | 0.5729 | 0.4576 | 0.6765 |
| No log | 6.4 | 480 | 0.4561 | 0.6092 | 0.4561 | 0.6753 |
| No log | 6.4267 | 482 | 0.4750 | 0.6434 | 0.4750 | 0.6892 |
| No log | 6.4533 | 484 | 0.4793 | 0.6092 | 0.4793 | 0.6923 |
| No log | 6.48 | 486 | 0.4933 | 0.6392 | 0.4933 | 0.7024 |
| No log | 6.5067 | 488 | 0.5013 | 0.6457 | 0.5013 | 0.7081 |
| No log | 6.5333 | 490 | 0.4785 | 0.5557 | 0.4785 | 0.6917 |
| No log | 6.5600 | 492 | 0.4607 | 0.4809 | 0.4607 | 0.6788 |
| No log | 6.5867 | 494 | 0.4589 | 0.4703 | 0.4589 | 0.6774 |
| No log | 6.6133 | 496 | 0.4751 | 0.4459 | 0.4751 | 0.6893 |
| No log | 6.64 | 498 | 0.5118 | 0.5452 | 0.5118 | 0.7154 |
| 0.3061 | 6.6667 | 500 | 0.5524 | 0.5362 | 0.5524 | 0.7432 |
| 0.3061 | 6.6933 | 502 | 0.5520 | 0.5275 | 0.5520 | 0.7430 |
| 0.3061 | 6.72 | 504 | 0.4986 | 0.5601 | 0.4986 | 0.7061 |
| 0.3061 | 6.7467 | 506 | 0.4568 | 0.5567 | 0.4568 | 0.6759 |
| 0.3061 | 6.7733 | 508 | 0.4532 | 0.5549 | 0.4532 | 0.6732 |
| 0.3061 | 6.8 | 510 | 0.4622 | 0.5662 | 0.4622 | 0.6799 |
| 0.3061 | 6.8267 | 512 | 0.4781 | 0.5404 | 0.4781 | 0.6915 |
| 0.3061 | 6.8533 | 514 | 0.5192 | 0.6063 | 0.5192 | 0.7206 |
| 0.3061 | 6.88 | 516 | 0.5012 | 0.5418 | 0.5012 | 0.7080 |
| 0.3061 | 6.9067 | 518 | 0.4664 | 0.5166 | 0.4664 | 0.6829 |
| 0.3061 | 6.9333 | 520 | 0.4624 | 0.5327 | 0.4624 | 0.6800 |
| 0.3061 | 6.96 | 522 | 0.4645 | 0.5166 | 0.4645 | 0.6816 |
| 0.3061 | 6.9867 | 524 | 0.4623 | 0.5254 | 0.4623 | 0.6799 |
| 0.3061 | 7.0133 | 526 | 0.4863 | 0.5166 | 0.4863 | 0.6973 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task7_organization
Base model
aubmindlab/bert-base-arabertv02