ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k14_task2_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: 0.6468
- Qwk: 0.4520
- Mse: 0.6468
- Rmse: 0.8042
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 | 4.3882 | -0.0134 | 4.3882 | 2.0948 |
No log | 0.0533 | 4 | 2.4350 | 0.0464 | 2.4350 | 1.5604 |
No log | 0.08 | 6 | 1.9937 | -0.0901 | 1.9937 | 1.4120 |
No log | 0.1067 | 8 | 1.2891 | -0.1077 | 1.2891 | 1.1354 |
No log | 0.1333 | 10 | 0.8750 | 0.0970 | 0.8750 | 0.9354 |
No log | 0.16 | 12 | 1.1646 | 0.1160 | 1.1646 | 1.0792 |
No log | 0.1867 | 14 | 1.1533 | 0.1540 | 1.1533 | 1.0739 |
No log | 0.2133 | 16 | 0.7876 | 0.1539 | 0.7876 | 0.8875 |
No log | 0.24 | 18 | 0.7543 | 0.2376 | 0.7543 | 0.8685 |
No log | 0.2667 | 20 | 0.8395 | 0.0869 | 0.8395 | 0.9162 |
No log | 0.2933 | 22 | 0.8692 | 0.0147 | 0.8692 | 0.9323 |
No log | 0.32 | 24 | 0.8141 | 0.0654 | 0.8141 | 0.9023 |
No log | 0.3467 | 26 | 0.7924 | 0.0937 | 0.7924 | 0.8902 |
No log | 0.3733 | 28 | 0.8073 | 0.1835 | 0.8073 | 0.8985 |
No log | 0.4 | 30 | 0.8408 | 0.2085 | 0.8408 | 0.9170 |
No log | 0.4267 | 32 | 0.7697 | 0.2662 | 0.7697 | 0.8773 |
No log | 0.4533 | 34 | 0.7598 | 0.1937 | 0.7598 | 0.8717 |
No log | 0.48 | 36 | 0.7466 | 0.2474 | 0.7466 | 0.8641 |
No log | 0.5067 | 38 | 0.7960 | 0.1920 | 0.7960 | 0.8922 |
No log | 0.5333 | 40 | 0.8679 | 0.1489 | 0.8679 | 0.9316 |
No log | 0.56 | 42 | 0.9576 | 0.1248 | 0.9576 | 0.9786 |
No log | 0.5867 | 44 | 1.0829 | 0.1113 | 1.0829 | 1.0406 |
No log | 0.6133 | 46 | 0.9404 | 0.1805 | 0.9404 | 0.9697 |
No log | 0.64 | 48 | 0.7629 | 0.2959 | 0.7629 | 0.8734 |
No log | 0.6667 | 50 | 0.7336 | 0.3515 | 0.7336 | 0.8565 |
No log | 0.6933 | 52 | 0.8819 | 0.2309 | 0.8819 | 0.9391 |
No log | 0.72 | 54 | 0.8673 | 0.1949 | 0.8673 | 0.9313 |
No log | 0.7467 | 56 | 0.8924 | 0.2048 | 0.8924 | 0.9447 |
No log | 0.7733 | 58 | 0.9810 | 0.1808 | 0.9810 | 0.9904 |
No log | 0.8 | 60 | 0.9166 | 0.2417 | 0.9166 | 0.9574 |
No log | 0.8267 | 62 | 0.6991 | 0.3930 | 0.6991 | 0.8361 |
No log | 0.8533 | 64 | 0.6845 | 0.4071 | 0.6845 | 0.8273 |
No log | 0.88 | 66 | 0.7080 | 0.4139 | 0.7080 | 0.8414 |
No log | 0.9067 | 68 | 0.7604 | 0.3611 | 0.7604 | 0.8720 |
No log | 0.9333 | 70 | 0.7930 | 0.3946 | 0.7930 | 0.8905 |
No log | 0.96 | 72 | 0.7994 | 0.3394 | 0.7994 | 0.8941 |
No log | 0.9867 | 74 | 0.6904 | 0.4614 | 0.6904 | 0.8309 |
No log | 1.0133 | 76 | 0.6694 | 0.4764 | 0.6694 | 0.8182 |
No log | 1.04 | 78 | 0.6633 | 0.4654 | 0.6633 | 0.8144 |
No log | 1.0667 | 80 | 0.6673 | 0.4625 | 0.6673 | 0.8169 |
No log | 1.0933 | 82 | 0.6829 | 0.4907 | 0.6829 | 0.8264 |
No log | 1.12 | 84 | 0.6989 | 0.5261 | 0.6989 | 0.8360 |
No log | 1.1467 | 86 | 0.7629 | 0.4130 | 0.7629 | 0.8734 |
No log | 1.1733 | 88 | 0.6706 | 0.4890 | 0.6706 | 0.8189 |
No log | 1.2 | 90 | 0.6406 | 0.5167 | 0.6406 | 0.8004 |
No log | 1.2267 | 92 | 0.6180 | 0.4588 | 0.6180 | 0.7862 |
No log | 1.2533 | 94 | 0.6000 | 0.5093 | 0.6000 | 0.7746 |
No log | 1.28 | 96 | 0.6071 | 0.4937 | 0.6071 | 0.7792 |
No log | 1.3067 | 98 | 0.6003 | 0.5428 | 0.6003 | 0.7748 |
No log | 1.3333 | 100 | 0.7624 | 0.4635 | 0.7624 | 0.8731 |
No log | 1.3600 | 102 | 0.8822 | 0.3869 | 0.8822 | 0.9393 |
No log | 1.3867 | 104 | 0.6705 | 0.4846 | 0.6705 | 0.8188 |
No log | 1.4133 | 106 | 0.6841 | 0.5337 | 0.6841 | 0.8271 |
No log | 1.44 | 108 | 0.6851 | 0.4861 | 0.6851 | 0.8277 |
No log | 1.4667 | 110 | 0.7659 | 0.4265 | 0.7659 | 0.8752 |
No log | 1.4933 | 112 | 0.8911 | 0.3925 | 0.8911 | 0.9440 |
No log | 1.52 | 114 | 0.7744 | 0.4753 | 0.7744 | 0.8800 |
No log | 1.5467 | 116 | 0.7172 | 0.4993 | 0.7172 | 0.8469 |
No log | 1.5733 | 118 | 0.7616 | 0.5591 | 0.7616 | 0.8727 |
No log | 1.6 | 120 | 0.6781 | 0.5191 | 0.6781 | 0.8235 |
No log | 1.6267 | 122 | 0.6988 | 0.4878 | 0.6988 | 0.8359 |
No log | 1.6533 | 124 | 0.6518 | 0.5437 | 0.6518 | 0.8073 |
No log | 1.6800 | 126 | 0.6510 | 0.5479 | 0.6510 | 0.8068 |
No log | 1.7067 | 128 | 0.7217 | 0.4961 | 0.7217 | 0.8495 |
No log | 1.7333 | 130 | 0.7476 | 0.4333 | 0.7476 | 0.8646 |
No log | 1.76 | 132 | 0.6585 | 0.5521 | 0.6585 | 0.8115 |
No log | 1.7867 | 134 | 1.0521 | 0.3748 | 1.0521 | 1.0257 |
No log | 1.8133 | 136 | 1.1245 | 0.3595 | 1.1245 | 1.0604 |
No log | 1.8400 | 138 | 0.8057 | 0.5043 | 0.8056 | 0.8976 |
No log | 1.8667 | 140 | 0.6864 | 0.4779 | 0.6864 | 0.8285 |
No log | 1.8933 | 142 | 0.7963 | 0.4926 | 0.7963 | 0.8923 |
No log | 1.92 | 144 | 0.7742 | 0.4455 | 0.7742 | 0.8799 |
No log | 1.9467 | 146 | 0.6246 | 0.4639 | 0.6246 | 0.7903 |
No log | 1.9733 | 148 | 0.7000 | 0.3946 | 0.7000 | 0.8367 |
No log | 2.0 | 150 | 0.6720 | 0.4295 | 0.6720 | 0.8197 |
No log | 2.0267 | 152 | 0.6690 | 0.5525 | 0.6690 | 0.8179 |
No log | 2.0533 | 154 | 0.7405 | 0.5556 | 0.7405 | 0.8605 |
No log | 2.08 | 156 | 0.7674 | 0.5024 | 0.7674 | 0.8760 |
No log | 2.1067 | 158 | 0.7377 | 0.5353 | 0.7377 | 0.8589 |
No log | 2.1333 | 160 | 0.7463 | 0.5355 | 0.7463 | 0.8639 |
No log | 2.16 | 162 | 0.8073 | 0.5274 | 0.8073 | 0.8985 |
No log | 2.1867 | 164 | 0.7908 | 0.5193 | 0.7908 | 0.8893 |
No log | 2.2133 | 166 | 0.6623 | 0.5511 | 0.6623 | 0.8138 |
No log | 2.24 | 168 | 0.6459 | 0.5075 | 0.6459 | 0.8037 |
No log | 2.2667 | 170 | 0.6303 | 0.5177 | 0.6303 | 0.7939 |
No log | 2.2933 | 172 | 0.6699 | 0.4605 | 0.6699 | 0.8185 |
No log | 2.32 | 174 | 0.7298 | 0.3074 | 0.7298 | 0.8543 |
No log | 2.3467 | 176 | 0.7379 | 0.3736 | 0.7379 | 0.8590 |
No log | 2.3733 | 178 | 0.6722 | 0.4198 | 0.6722 | 0.8199 |
No log | 2.4 | 180 | 0.6607 | 0.5173 | 0.6607 | 0.8128 |
No log | 2.4267 | 182 | 0.7416 | 0.4372 | 0.7416 | 0.8612 |
No log | 2.4533 | 184 | 0.9118 | 0.4838 | 0.9118 | 0.9549 |
No log | 2.48 | 186 | 1.0113 | 0.4637 | 1.0113 | 1.0056 |
No log | 2.5067 | 188 | 0.8220 | 0.4580 | 0.8220 | 0.9067 |
No log | 2.5333 | 190 | 0.7668 | 0.5405 | 0.7668 | 0.8757 |
No log | 2.56 | 192 | 0.7521 | 0.5736 | 0.7521 | 0.8672 |
No log | 2.5867 | 194 | 0.7381 | 0.5450 | 0.7381 | 0.8591 |
No log | 2.6133 | 196 | 0.6993 | 0.5352 | 0.6993 | 0.8362 |
No log | 2.64 | 198 | 0.6796 | 0.5452 | 0.6796 | 0.8244 |
No log | 2.6667 | 200 | 0.7133 | 0.4921 | 0.7133 | 0.8446 |
No log | 2.6933 | 202 | 0.6641 | 0.4863 | 0.6641 | 0.8149 |
No log | 2.7200 | 204 | 0.6289 | 0.4895 | 0.6289 | 0.7930 |
No log | 2.7467 | 206 | 0.5907 | 0.4941 | 0.5907 | 0.7686 |
No log | 2.7733 | 208 | 0.5944 | 0.5304 | 0.5944 | 0.7709 |
No log | 2.8 | 210 | 0.6257 | 0.5731 | 0.6257 | 0.7910 |
No log | 2.8267 | 212 | 0.7228 | 0.5279 | 0.7228 | 0.8502 |
No log | 2.8533 | 214 | 0.7565 | 0.5345 | 0.7565 | 0.8698 |
No log | 2.88 | 216 | 0.6859 | 0.5576 | 0.6859 | 0.8282 |
No log | 2.9067 | 218 | 0.6267 | 0.5689 | 0.6267 | 0.7916 |
No log | 2.9333 | 220 | 0.6523 | 0.5390 | 0.6523 | 0.8077 |
No log | 2.96 | 222 | 0.6191 | 0.5361 | 0.6191 | 0.7869 |
No log | 2.9867 | 224 | 0.6572 | 0.5623 | 0.6572 | 0.8107 |
No log | 3.0133 | 226 | 0.6886 | 0.5519 | 0.6886 | 0.8298 |
No log | 3.04 | 228 | 0.6496 | 0.5363 | 0.6496 | 0.8060 |
No log | 3.0667 | 230 | 0.5894 | 0.5130 | 0.5894 | 0.7677 |
No log | 3.0933 | 232 | 0.5786 | 0.5282 | 0.5786 | 0.7607 |
No log | 3.12 | 234 | 0.5819 | 0.5045 | 0.5819 | 0.7628 |
No log | 3.1467 | 236 | 0.6452 | 0.4226 | 0.6452 | 0.8032 |
No log | 3.1733 | 238 | 0.8235 | 0.4119 | 0.8235 | 0.9075 |
No log | 3.2 | 240 | 0.7444 | 0.4417 | 0.7444 | 0.8628 |
No log | 3.2267 | 242 | 0.5939 | 0.4888 | 0.5939 | 0.7706 |
No log | 3.2533 | 244 | 0.6340 | 0.5698 | 0.6340 | 0.7963 |
No log | 3.2800 | 246 | 0.6154 | 0.5539 | 0.6154 | 0.7845 |
No log | 3.3067 | 248 | 0.6259 | 0.5348 | 0.6259 | 0.7911 |
No log | 3.3333 | 250 | 0.6480 | 0.5490 | 0.6480 | 0.8050 |
No log | 3.36 | 252 | 0.6086 | 0.5359 | 0.6086 | 0.7801 |
No log | 3.3867 | 254 | 0.6522 | 0.5542 | 0.6522 | 0.8076 |
No log | 3.4133 | 256 | 0.7644 | 0.5105 | 0.7644 | 0.8743 |
No log | 3.44 | 258 | 0.8134 | 0.4658 | 0.8134 | 0.9019 |
No log | 3.4667 | 260 | 0.6886 | 0.5362 | 0.6886 | 0.8298 |
No log | 3.4933 | 262 | 0.6858 | 0.5535 | 0.6858 | 0.8281 |
No log | 3.52 | 264 | 0.8134 | 0.5515 | 0.8134 | 0.9019 |
No log | 3.5467 | 266 | 0.7357 | 0.5220 | 0.7357 | 0.8578 |
No log | 3.5733 | 268 | 0.7365 | 0.5407 | 0.7365 | 0.8582 |
No log | 3.6 | 270 | 0.9025 | 0.4566 | 0.9025 | 0.9500 |
No log | 3.6267 | 272 | 0.8965 | 0.4314 | 0.8965 | 0.9468 |
No log | 3.6533 | 274 | 0.6887 | 0.5265 | 0.6887 | 0.8299 |
No log | 3.68 | 276 | 0.6064 | 0.4920 | 0.6064 | 0.7787 |
No log | 3.7067 | 278 | 0.6350 | 0.5195 | 0.6350 | 0.7968 |
No log | 3.7333 | 280 | 0.6352 | 0.5150 | 0.6352 | 0.7970 |
No log | 3.76 | 282 | 0.5863 | 0.4247 | 0.5863 | 0.7657 |
No log | 3.7867 | 284 | 0.6303 | 0.5155 | 0.6303 | 0.7939 |
No log | 3.8133 | 286 | 0.8605 | 0.4826 | 0.8605 | 0.9276 |
No log | 3.84 | 288 | 1.0712 | 0.3741 | 1.0712 | 1.0350 |
No log | 3.8667 | 290 | 0.9806 | 0.4228 | 0.9806 | 0.9903 |
No log | 3.8933 | 292 | 0.7296 | 0.5465 | 0.7296 | 0.8542 |
No log | 3.92 | 294 | 0.6715 | 0.5666 | 0.6715 | 0.8194 |
No log | 3.9467 | 296 | 0.6805 | 0.5477 | 0.6805 | 0.8249 |
No log | 3.9733 | 298 | 0.6428 | 0.5202 | 0.6428 | 0.8018 |
No log | 4.0 | 300 | 0.6356 | 0.5223 | 0.6356 | 0.7972 |
No log | 4.0267 | 302 | 0.6946 | 0.4772 | 0.6946 | 0.8334 |
No log | 4.0533 | 304 | 0.6826 | 0.5116 | 0.6826 | 0.8262 |
No log | 4.08 | 306 | 0.6041 | 0.4865 | 0.6041 | 0.7773 |
No log | 4.1067 | 308 | 0.6247 | 0.5822 | 0.6247 | 0.7904 |
No log | 4.1333 | 310 | 0.6491 | 0.5552 | 0.6491 | 0.8057 |
No log | 4.16 | 312 | 0.6282 | 0.4859 | 0.6282 | 0.7926 |
No log | 4.1867 | 314 | 0.6909 | 0.5050 | 0.6909 | 0.8312 |
No log | 4.2133 | 316 | 0.7275 | 0.5116 | 0.7275 | 0.8529 |
No log | 4.24 | 318 | 0.6434 | 0.4679 | 0.6434 | 0.8021 |
No log | 4.2667 | 320 | 0.6357 | 0.5287 | 0.6357 | 0.7973 |
No log | 4.2933 | 322 | 0.7084 | 0.5614 | 0.7084 | 0.8417 |
No log | 4.32 | 324 | 0.7082 | 0.5855 | 0.7082 | 0.8415 |
No log | 4.3467 | 326 | 0.6710 | 0.5477 | 0.6710 | 0.8192 |
No log | 4.3733 | 328 | 0.6875 | 0.5730 | 0.6875 | 0.8292 |
No log | 4.4 | 330 | 0.6828 | 0.6061 | 0.6828 | 0.8263 |
No log | 4.4267 | 332 | 0.6903 | 0.5946 | 0.6903 | 0.8308 |
No log | 4.4533 | 334 | 0.7444 | 0.5107 | 0.7444 | 0.8628 |
No log | 4.48 | 336 | 0.8059 | 0.4831 | 0.8059 | 0.8977 |
No log | 4.5067 | 338 | 0.6920 | 0.4774 | 0.6920 | 0.8319 |
No log | 4.5333 | 340 | 0.6099 | 0.4769 | 0.6099 | 0.7810 |
No log | 4.5600 | 342 | 0.6169 | 0.5028 | 0.6169 | 0.7855 |
No log | 4.5867 | 344 | 0.6360 | 0.4760 | 0.6360 | 0.7975 |
No log | 4.6133 | 346 | 0.6501 | 0.4760 | 0.6501 | 0.8063 |
No log | 4.64 | 348 | 0.6644 | 0.5425 | 0.6644 | 0.8151 |
No log | 4.6667 | 350 | 0.6795 | 0.5445 | 0.6795 | 0.8243 |
No log | 4.6933 | 352 | 0.6581 | 0.4876 | 0.6581 | 0.8112 |
No log | 4.72 | 354 | 0.7090 | 0.4845 | 0.7090 | 0.8420 |
No log | 4.7467 | 356 | 0.7281 | 0.5088 | 0.7281 | 0.8533 |
No log | 4.7733 | 358 | 0.7502 | 0.4784 | 0.7502 | 0.8661 |
No log | 4.8 | 360 | 0.7189 | 0.4500 | 0.7189 | 0.8479 |
No log | 4.8267 | 362 | 0.6713 | 0.4934 | 0.6713 | 0.8193 |
No log | 4.8533 | 364 | 0.6642 | 0.5145 | 0.6642 | 0.8150 |
No log | 4.88 | 366 | 0.7038 | 0.5392 | 0.7038 | 0.8389 |
No log | 4.9067 | 368 | 0.7338 | 0.5264 | 0.7338 | 0.8566 |
No log | 4.9333 | 370 | 0.7467 | 0.5534 | 0.7467 | 0.8641 |
No log | 4.96 | 372 | 0.6577 | 0.5583 | 0.6577 | 0.8110 |
No log | 4.9867 | 374 | 0.6480 | 0.5617 | 0.6480 | 0.8050 |
No log | 5.0133 | 376 | 0.7165 | 0.5181 | 0.7165 | 0.8465 |
No log | 5.04 | 378 | 0.6504 | 0.5133 | 0.6504 | 0.8065 |
No log | 5.0667 | 380 | 0.6249 | 0.5609 | 0.6249 | 0.7905 |
No log | 5.0933 | 382 | 0.6760 | 0.5548 | 0.6760 | 0.8222 |
No log | 5.12 | 384 | 0.6864 | 0.5930 | 0.6864 | 0.8285 |
No log | 5.1467 | 386 | 0.6735 | 0.5533 | 0.6735 | 0.8207 |
No log | 5.1733 | 388 | 0.6714 | 0.5867 | 0.6714 | 0.8194 |
No log | 5.2 | 390 | 0.6704 | 0.5609 | 0.6704 | 0.8188 |
No log | 5.2267 | 392 | 0.6841 | 0.5554 | 0.6841 | 0.8271 |
No log | 5.2533 | 394 | 0.6846 | 0.5712 | 0.6846 | 0.8274 |
No log | 5.28 | 396 | 0.6642 | 0.5721 | 0.6642 | 0.8150 |
No log | 5.3067 | 398 | 0.6702 | 0.5796 | 0.6702 | 0.8186 |
No log | 5.3333 | 400 | 0.6707 | 0.5821 | 0.6707 | 0.8189 |
No log | 5.36 | 402 | 0.6647 | 0.5053 | 0.6647 | 0.8153 |
No log | 5.3867 | 404 | 0.6289 | 0.5121 | 0.6289 | 0.7930 |
No log | 5.4133 | 406 | 0.5928 | 0.4959 | 0.5928 | 0.7699 |
No log | 5.44 | 408 | 0.6008 | 0.5260 | 0.6008 | 0.7751 |
No log | 5.4667 | 410 | 0.6098 | 0.5325 | 0.6098 | 0.7809 |
No log | 5.4933 | 412 | 0.6082 | 0.5325 | 0.6082 | 0.7799 |
No log | 5.52 | 414 | 0.6111 | 0.4954 | 0.6111 | 0.7817 |
No log | 5.5467 | 416 | 0.5939 | 0.5241 | 0.5939 | 0.7706 |
No log | 5.5733 | 418 | 0.6025 | 0.4832 | 0.6025 | 0.7762 |
No log | 5.6 | 420 | 0.6194 | 0.5485 | 0.6194 | 0.7870 |
No log | 5.6267 | 422 | 0.6310 | 0.5128 | 0.6310 | 0.7944 |
No log | 5.6533 | 424 | 0.6648 | 0.5584 | 0.6648 | 0.8153 |
No log | 5.68 | 426 | 0.6488 | 0.5217 | 0.6488 | 0.8055 |
No log | 5.7067 | 428 | 0.6126 | 0.5245 | 0.6126 | 0.7827 |
No log | 5.7333 | 430 | 0.6197 | 0.5325 | 0.6197 | 0.7872 |
No log | 5.76 | 432 | 0.6129 | 0.4857 | 0.6129 | 0.7829 |
No log | 5.7867 | 434 | 0.6114 | 0.4857 | 0.6114 | 0.7819 |
No log | 5.8133 | 436 | 0.6005 | 0.4096 | 0.6005 | 0.7749 |
No log | 5.84 | 438 | 0.6090 | 0.4557 | 0.6090 | 0.7804 |
No log | 5.8667 | 440 | 0.6289 | 0.5291 | 0.6289 | 0.7930 |
No log | 5.8933 | 442 | 0.6780 | 0.5095 | 0.6780 | 0.8234 |
No log | 5.92 | 444 | 0.6742 | 0.5026 | 0.6742 | 0.8211 |
No log | 5.9467 | 446 | 0.6197 | 0.5239 | 0.6197 | 0.7872 |
No log | 5.9733 | 448 | 0.5876 | 0.4319 | 0.5876 | 0.7665 |
No log | 6.0 | 450 | 0.6147 | 0.4397 | 0.6147 | 0.7840 |
No log | 6.0267 | 452 | 0.6204 | 0.4072 | 0.6204 | 0.7876 |
No log | 6.0533 | 454 | 0.6048 | 0.4100 | 0.6048 | 0.7777 |
No log | 6.08 | 456 | 0.5913 | 0.3858 | 0.5913 | 0.7690 |
No log | 6.1067 | 458 | 0.5979 | 0.5203 | 0.5979 | 0.7732 |
No log | 6.1333 | 460 | 0.6222 | 0.5476 | 0.6222 | 0.7888 |
No log | 6.16 | 462 | 0.6464 | 0.5142 | 0.6464 | 0.8040 |
No log | 6.1867 | 464 | 0.6551 | 0.4809 | 0.6551 | 0.8094 |
No log | 6.2133 | 466 | 0.6084 | 0.4877 | 0.6084 | 0.7800 |
No log | 6.24 | 468 | 0.6084 | 0.4751 | 0.6084 | 0.7800 |
No log | 6.2667 | 470 | 0.5964 | 0.5036 | 0.5964 | 0.7723 |
No log | 6.2933 | 472 | 0.5780 | 0.4922 | 0.5780 | 0.7603 |
No log | 6.32 | 474 | 0.5946 | 0.5037 | 0.5946 | 0.7711 |
No log | 6.3467 | 476 | 0.6950 | 0.4399 | 0.6950 | 0.8336 |
No log | 6.3733 | 478 | 0.8146 | 0.4281 | 0.8146 | 0.9026 |
No log | 6.4 | 480 | 0.7520 | 0.4747 | 0.7520 | 0.8672 |
No log | 6.4267 | 482 | 0.6644 | 0.5306 | 0.6644 | 0.8151 |
No log | 6.4533 | 484 | 0.6164 | 0.5652 | 0.6164 | 0.7851 |
No log | 6.48 | 486 | 0.6405 | 0.4678 | 0.6405 | 0.8003 |
No log | 6.5067 | 488 | 0.6407 | 0.4540 | 0.6407 | 0.8004 |
No log | 6.5333 | 490 | 0.7396 | 0.4718 | 0.7396 | 0.8600 |
No log | 6.5600 | 492 | 0.7676 | 0.4734 | 0.7676 | 0.8762 |
No log | 6.5867 | 494 | 0.6619 | 0.5073 | 0.6619 | 0.8136 |
No log | 6.6133 | 496 | 0.6201 | 0.4954 | 0.6201 | 0.7874 |
No log | 6.64 | 498 | 0.6990 | 0.5120 | 0.6990 | 0.8360 |
0.3842 | 6.6667 | 500 | 0.7189 | 0.4713 | 0.7189 | 0.8479 |
0.3842 | 6.6933 | 502 | 0.6874 | 0.4435 | 0.6874 | 0.8291 |
0.3842 | 6.72 | 504 | 0.6435 | 0.4926 | 0.6435 | 0.8022 |
0.3842 | 6.7467 | 506 | 0.6430 | 0.5097 | 0.6430 | 0.8019 |
0.3842 | 6.7733 | 508 | 0.6546 | 0.4350 | 0.6546 | 0.8091 |
0.3842 | 6.8 | 510 | 0.7201 | 0.4382 | 0.7201 | 0.8486 |
0.3842 | 6.8267 | 512 | 0.7396 | 0.4649 | 0.7396 | 0.8600 |
0.3842 | 6.8533 | 514 | 0.6930 | 0.4892 | 0.6930 | 0.8325 |
0.3842 | 6.88 | 516 | 0.6335 | 0.3964 | 0.6335 | 0.7959 |
0.3842 | 6.9067 | 518 | 0.6211 | 0.4274 | 0.6211 | 0.7881 |
0.3842 | 6.9333 | 520 | 0.6323 | 0.4307 | 0.6323 | 0.7952 |
0.3842 | 6.96 | 522 | 0.6451 | 0.4972 | 0.6451 | 0.8032 |
0.3842 | 6.9867 | 524 | 0.6716 | 0.4948 | 0.6716 | 0.8195 |
0.3842 | 7.0133 | 526 | 0.7644 | 0.4541 | 0.7644 | 0.8743 |
0.3842 | 7.04 | 528 | 0.8006 | 0.3650 | 0.8006 | 0.8947 |
0.3842 | 7.0667 | 530 | 0.7237 | 0.4596 | 0.7237 | 0.8507 |
0.3842 | 7.0933 | 532 | 0.6558 | 0.4221 | 0.6558 | 0.8098 |
0.3842 | 7.12 | 534 | 0.6468 | 0.4520 | 0.6468 | 0.8042 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k14_task2_organization
Base model
aubmindlab/bert-base-arabertv02