ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k20_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: 1.0239
- Qwk: 0.1951
- Mse: 1.0239
- Rmse: 1.0119
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 | 0.0196 | 2 | 4.2821 | 0.0079 | 4.2821 | 2.0693 |
No log | 0.0392 | 4 | 2.4968 | 0.0543 | 2.4968 | 1.5801 |
No log | 0.0588 | 6 | 1.7054 | -0.0018 | 1.7054 | 1.3059 |
No log | 0.0784 | 8 | 1.1373 | 0.2515 | 1.1373 | 1.0664 |
No log | 0.0980 | 10 | 1.2523 | 0.0011 | 1.2523 | 1.1191 |
No log | 0.1176 | 12 | 1.3792 | -0.0428 | 1.3792 | 1.1744 |
No log | 0.1373 | 14 | 1.3811 | -0.0548 | 1.3811 | 1.1752 |
No log | 0.1569 | 16 | 1.5603 | -0.0743 | 1.5603 | 1.2491 |
No log | 0.1765 | 18 | 1.4793 | -0.0743 | 1.4793 | 1.2163 |
No log | 0.1961 | 20 | 1.2598 | -0.0311 | 1.2598 | 1.1224 |
No log | 0.2157 | 22 | 1.1584 | 0.1881 | 1.1584 | 1.0763 |
No log | 0.2353 | 24 | 1.1273 | 0.1826 | 1.1273 | 1.0617 |
No log | 0.2549 | 26 | 1.0525 | 0.2467 | 1.0525 | 1.0259 |
No log | 0.2745 | 28 | 1.0446 | 0.2023 | 1.0446 | 1.0220 |
No log | 0.2941 | 30 | 1.1492 | 0.1324 | 1.1492 | 1.0720 |
No log | 0.3137 | 32 | 1.0030 | 0.2416 | 1.0030 | 1.0015 |
No log | 0.3333 | 34 | 0.9832 | 0.3549 | 0.9832 | 0.9916 |
No log | 0.3529 | 36 | 0.9614 | 0.4002 | 0.9614 | 0.9805 |
No log | 0.3725 | 38 | 0.9009 | 0.3448 | 0.9009 | 0.9492 |
No log | 0.3922 | 40 | 1.2227 | 0.2395 | 1.2227 | 1.1058 |
No log | 0.4118 | 42 | 1.2504 | 0.2038 | 1.2504 | 1.1182 |
No log | 0.4314 | 44 | 0.9177 | 0.3933 | 0.9177 | 0.9580 |
No log | 0.4510 | 46 | 1.3788 | 0.3543 | 1.3788 | 1.1742 |
No log | 0.4706 | 48 | 1.8917 | 0.1889 | 1.8917 | 1.3754 |
No log | 0.4902 | 50 | 1.6280 | 0.2921 | 1.6280 | 1.2759 |
No log | 0.5098 | 52 | 1.1316 | 0.2991 | 1.1316 | 1.0638 |
No log | 0.5294 | 54 | 0.9586 | 0.4522 | 0.9586 | 0.9791 |
No log | 0.5490 | 56 | 0.9551 | 0.2549 | 0.9551 | 0.9773 |
No log | 0.5686 | 58 | 0.9365 | 0.3278 | 0.9365 | 0.9677 |
No log | 0.5882 | 60 | 0.9504 | 0.4136 | 0.9504 | 0.9749 |
No log | 0.6078 | 62 | 1.2522 | 0.2457 | 1.2522 | 1.1190 |
No log | 0.6275 | 64 | 1.4552 | 0.2103 | 1.4552 | 1.2063 |
No log | 0.6471 | 66 | 1.2670 | 0.3616 | 1.2670 | 1.1256 |
No log | 0.6667 | 68 | 1.1042 | 0.3405 | 1.1042 | 1.0508 |
No log | 0.6863 | 70 | 1.0147 | 0.2826 | 1.0147 | 1.0073 |
No log | 0.7059 | 72 | 0.9395 | 0.3879 | 0.9395 | 0.9693 |
No log | 0.7255 | 74 | 0.8810 | 0.4251 | 0.8810 | 0.9386 |
No log | 0.7451 | 76 | 0.8574 | 0.4277 | 0.8574 | 0.9260 |
No log | 0.7647 | 78 | 0.8716 | 0.4078 | 0.8716 | 0.9336 |
No log | 0.7843 | 80 | 0.9465 | 0.3415 | 0.9465 | 0.9729 |
No log | 0.8039 | 82 | 1.1232 | 0.3101 | 1.1232 | 1.0598 |
No log | 0.8235 | 84 | 1.0863 | 0.3220 | 1.0863 | 1.0423 |
No log | 0.8431 | 86 | 0.8406 | 0.3577 | 0.8406 | 0.9169 |
No log | 0.8627 | 88 | 0.8113 | 0.4409 | 0.8113 | 0.9007 |
No log | 0.8824 | 90 | 0.9661 | 0.3229 | 0.9661 | 0.9829 |
No log | 0.9020 | 92 | 0.9064 | 0.3396 | 0.9064 | 0.9521 |
No log | 0.9216 | 94 | 0.7896 | 0.4642 | 0.7896 | 0.8886 |
No log | 0.9412 | 96 | 1.0308 | 0.3185 | 1.0308 | 1.0153 |
No log | 0.9608 | 98 | 1.3470 | 0.3022 | 1.3470 | 1.1606 |
No log | 0.9804 | 100 | 1.3495 | 0.2958 | 1.3495 | 1.1617 |
No log | 1.0 | 102 | 1.1178 | 0.3295 | 1.1178 | 1.0573 |
No log | 1.0196 | 104 | 0.8352 | 0.5610 | 0.8352 | 0.9139 |
No log | 1.0392 | 106 | 0.7427 | 0.4391 | 0.7427 | 0.8618 |
No log | 1.0588 | 108 | 0.7737 | 0.5082 | 0.7737 | 0.8796 |
No log | 1.0784 | 110 | 0.7372 | 0.4658 | 0.7372 | 0.8586 |
No log | 1.0980 | 112 | 0.7295 | 0.5117 | 0.7295 | 0.8541 |
No log | 1.1176 | 114 | 0.9234 | 0.4987 | 0.9234 | 0.9609 |
No log | 1.1373 | 116 | 1.1008 | 0.4140 | 1.1008 | 1.0492 |
No log | 1.1569 | 118 | 1.0237 | 0.3624 | 1.0237 | 1.0118 |
No log | 1.1765 | 120 | 0.8729 | 0.4800 | 0.8729 | 0.9343 |
No log | 1.1961 | 122 | 0.7957 | 0.4608 | 0.7957 | 0.8920 |
No log | 1.2157 | 124 | 0.7736 | 0.4608 | 0.7736 | 0.8795 |
No log | 1.2353 | 126 | 0.8014 | 0.5123 | 0.8014 | 0.8952 |
No log | 1.2549 | 128 | 0.7942 | 0.5123 | 0.7942 | 0.8912 |
No log | 1.2745 | 130 | 0.7855 | 0.5123 | 0.7855 | 0.8863 |
No log | 1.2941 | 132 | 0.8449 | 0.4697 | 0.8449 | 0.9192 |
No log | 1.3137 | 134 | 0.8874 | 0.3453 | 0.8874 | 0.9420 |
No log | 1.3333 | 136 | 0.8653 | 0.3883 | 0.8653 | 0.9302 |
No log | 1.3529 | 138 | 0.8568 | 0.3883 | 0.8568 | 0.9256 |
No log | 1.3725 | 140 | 0.8319 | 0.4300 | 0.8319 | 0.9121 |
No log | 1.3922 | 142 | 0.8050 | 0.4574 | 0.8050 | 0.8972 |
No log | 1.4118 | 144 | 0.8229 | 0.4681 | 0.8229 | 0.9072 |
No log | 1.4314 | 146 | 0.8607 | 0.4404 | 0.8607 | 0.9277 |
No log | 1.4510 | 148 | 0.8790 | 0.4404 | 0.8790 | 0.9376 |
No log | 1.4706 | 150 | 0.9078 | 0.4265 | 0.9078 | 0.9528 |
No log | 1.4902 | 152 | 0.8777 | 0.3863 | 0.8777 | 0.9369 |
No log | 1.5098 | 154 | 0.8554 | 0.3863 | 0.8554 | 0.9249 |
No log | 1.5294 | 156 | 0.8453 | 0.4404 | 0.8453 | 0.9194 |
No log | 1.5490 | 158 | 0.9441 | 0.4885 | 0.9441 | 0.9716 |
No log | 1.5686 | 160 | 0.9449 | 0.5078 | 0.9449 | 0.9720 |
No log | 1.5882 | 162 | 0.7949 | 0.5134 | 0.7949 | 0.8916 |
No log | 1.6078 | 164 | 0.7802 | 0.5253 | 0.7802 | 0.8833 |
No log | 1.6275 | 166 | 0.8393 | 0.4787 | 0.8393 | 0.9161 |
No log | 1.6471 | 168 | 0.7924 | 0.5509 | 0.7924 | 0.8902 |
No log | 1.6667 | 170 | 0.7631 | 0.4267 | 0.7631 | 0.8736 |
No log | 1.6863 | 172 | 0.8200 | 0.4038 | 0.8200 | 0.9055 |
No log | 1.7059 | 174 | 0.8024 | 0.4143 | 0.8024 | 0.8958 |
No log | 1.7255 | 176 | 0.7571 | 0.4124 | 0.7571 | 0.8701 |
No log | 1.7451 | 178 | 0.7459 | 0.4903 | 0.7459 | 0.8637 |
No log | 1.7647 | 180 | 0.7624 | 0.4198 | 0.7624 | 0.8732 |
No log | 1.7843 | 182 | 0.7796 | 0.4606 | 0.7796 | 0.8830 |
No log | 1.8039 | 184 | 0.7863 | 0.3902 | 0.7863 | 0.8867 |
No log | 1.8235 | 186 | 0.7581 | 0.4606 | 0.7581 | 0.8707 |
No log | 1.8431 | 188 | 0.7175 | 0.4391 | 0.7175 | 0.8471 |
No log | 1.8627 | 190 | 0.6861 | 0.4503 | 0.6861 | 0.8283 |
No log | 1.8824 | 192 | 0.6692 | 0.4416 | 0.6692 | 0.8181 |
No log | 1.9020 | 194 | 0.6386 | 0.5758 | 0.6386 | 0.7991 |
No log | 1.9216 | 196 | 0.6404 | 0.4794 | 0.6404 | 0.8002 |
No log | 1.9412 | 198 | 0.6434 | 0.4422 | 0.6434 | 0.8021 |
No log | 1.9608 | 200 | 0.6764 | 0.4186 | 0.6764 | 0.8224 |
No log | 1.9804 | 202 | 0.7017 | 0.4054 | 0.7017 | 0.8377 |
No log | 2.0 | 204 | 0.7397 | 0.4038 | 0.7397 | 0.8601 |
No log | 2.0196 | 206 | 0.7107 | 0.4433 | 0.7107 | 0.8430 |
No log | 2.0392 | 208 | 0.7232 | 0.4724 | 0.7232 | 0.8504 |
No log | 2.0588 | 210 | 0.8160 | 0.4771 | 0.8160 | 0.9033 |
No log | 2.0784 | 212 | 0.7856 | 0.4771 | 0.7856 | 0.8864 |
No log | 2.0980 | 214 | 0.7010 | 0.4813 | 0.7010 | 0.8372 |
No log | 2.1176 | 216 | 0.6708 | 0.4903 | 0.6708 | 0.8190 |
No log | 2.1373 | 218 | 0.6698 | 0.5605 | 0.6698 | 0.8184 |
No log | 2.1569 | 220 | 0.6663 | 0.5509 | 0.6663 | 0.8163 |
No log | 2.1765 | 222 | 0.6611 | 0.5771 | 0.6611 | 0.8131 |
No log | 2.1961 | 224 | 0.6549 | 0.5288 | 0.6549 | 0.8093 |
No log | 2.2157 | 226 | 0.6551 | 0.5208 | 0.6551 | 0.8094 |
No log | 2.2353 | 228 | 0.6757 | 0.5103 | 0.6757 | 0.8220 |
No log | 2.2549 | 230 | 0.7199 | 0.4602 | 0.7199 | 0.8485 |
No log | 2.2745 | 232 | 0.7185 | 0.4726 | 0.7185 | 0.8476 |
No log | 2.2941 | 234 | 0.6726 | 0.5067 | 0.6726 | 0.8201 |
No log | 2.3137 | 236 | 0.6853 | 0.5640 | 0.6853 | 0.8279 |
No log | 2.3333 | 238 | 0.7693 | 0.5579 | 0.7693 | 0.8771 |
No log | 2.3529 | 240 | 0.7670 | 0.5598 | 0.7670 | 0.8758 |
No log | 2.3725 | 242 | 0.7339 | 0.5244 | 0.7339 | 0.8567 |
No log | 2.3922 | 244 | 0.7896 | 0.4143 | 0.7896 | 0.8886 |
No log | 2.4118 | 246 | 0.7923 | 0.4275 | 0.7923 | 0.8901 |
No log | 2.4314 | 248 | 0.7561 | 0.5019 | 0.7561 | 0.8695 |
No log | 2.4510 | 250 | 0.7731 | 0.4009 | 0.7731 | 0.8792 |
No log | 2.4706 | 252 | 0.8671 | 0.5014 | 0.8671 | 0.9312 |
No log | 2.4902 | 254 | 0.8950 | 0.4397 | 0.8950 | 0.9461 |
No log | 2.5098 | 256 | 0.8284 | 0.4283 | 0.8284 | 0.9102 |
No log | 2.5294 | 258 | 0.7933 | 0.4819 | 0.7933 | 0.8907 |
No log | 2.5490 | 260 | 0.7524 | 0.5093 | 0.7524 | 0.8674 |
No log | 2.5686 | 262 | 0.7630 | 0.5051 | 0.7630 | 0.8735 |
No log | 2.5882 | 264 | 0.7771 | 0.5051 | 0.7771 | 0.8816 |
No log | 2.6078 | 266 | 0.7654 | 0.4815 | 0.7654 | 0.8749 |
No log | 2.6275 | 268 | 0.7621 | 0.5093 | 0.7621 | 0.8730 |
No log | 2.6471 | 270 | 0.7314 | 0.5463 | 0.7314 | 0.8552 |
No log | 2.6667 | 272 | 0.6931 | 0.5273 | 0.6931 | 0.8325 |
No log | 2.6863 | 274 | 0.6994 | 0.6167 | 0.6994 | 0.8363 |
No log | 2.7059 | 276 | 0.7370 | 0.5707 | 0.7370 | 0.8585 |
No log | 2.7255 | 278 | 0.7205 | 0.5709 | 0.7205 | 0.8488 |
No log | 2.7451 | 280 | 0.7258 | 0.5113 | 0.7258 | 0.8519 |
No log | 2.7647 | 282 | 0.7274 | 0.5245 | 0.7274 | 0.8529 |
No log | 2.7843 | 284 | 0.7044 | 0.5391 | 0.7044 | 0.8393 |
No log | 2.8039 | 286 | 0.6914 | 0.4035 | 0.6914 | 0.8315 |
No log | 2.8235 | 288 | 0.7647 | 0.4484 | 0.7647 | 0.8744 |
No log | 2.8431 | 290 | 0.8021 | 0.5027 | 0.8021 | 0.8956 |
No log | 2.8627 | 292 | 0.7749 | 0.5019 | 0.7749 | 0.8803 |
No log | 2.8824 | 294 | 0.7324 | 0.4769 | 0.7324 | 0.8558 |
No log | 2.9020 | 296 | 0.6821 | 0.4692 | 0.6821 | 0.8259 |
No log | 2.9216 | 298 | 0.6830 | 0.5721 | 0.6830 | 0.8264 |
No log | 2.9412 | 300 | 0.7206 | 0.5559 | 0.7206 | 0.8489 |
No log | 2.9608 | 302 | 0.7080 | 0.4373 | 0.7080 | 0.8414 |
No log | 2.9804 | 304 | 0.7858 | 0.4217 | 0.7858 | 0.8865 |
No log | 3.0 | 306 | 1.0795 | 0.3519 | 1.0795 | 1.0390 |
No log | 3.0196 | 308 | 1.2764 | 0.2354 | 1.2764 | 1.1298 |
No log | 3.0392 | 310 | 1.1874 | 0.2472 | 1.1874 | 1.0897 |
No log | 3.0588 | 312 | 0.9276 | 0.4256 | 0.9276 | 0.9631 |
No log | 3.0784 | 314 | 0.6973 | 0.4285 | 0.6973 | 0.8351 |
No log | 3.0980 | 316 | 0.6850 | 0.4887 | 0.6850 | 0.8276 |
No log | 3.1176 | 318 | 0.6795 | 0.5627 | 0.6795 | 0.8243 |
No log | 3.1373 | 320 | 0.6703 | 0.4797 | 0.6703 | 0.8187 |
No log | 3.1569 | 322 | 0.7107 | 0.4444 | 0.7107 | 0.8430 |
No log | 3.1765 | 324 | 0.7412 | 0.4604 | 0.7412 | 0.8609 |
No log | 3.1961 | 326 | 0.7294 | 0.4321 | 0.7294 | 0.8541 |
No log | 3.2157 | 328 | 0.7153 | 0.4038 | 0.7153 | 0.8457 |
No log | 3.2353 | 330 | 0.7240 | 0.4019 | 0.7240 | 0.8509 |
No log | 3.2549 | 332 | 0.7512 | 0.4 | 0.7512 | 0.8667 |
No log | 3.2745 | 334 | 0.7641 | 0.3730 | 0.7641 | 0.8741 |
No log | 3.2941 | 336 | 0.7799 | 0.4041 | 0.7799 | 0.8831 |
No log | 3.3137 | 338 | 0.8152 | 0.3811 | 0.8152 | 0.9029 |
No log | 3.3333 | 340 | 0.7548 | 0.4339 | 0.7548 | 0.8688 |
No log | 3.3529 | 342 | 0.6685 | 0.4444 | 0.6685 | 0.8176 |
No log | 3.3725 | 344 | 0.6536 | 0.5391 | 0.6536 | 0.8084 |
No log | 3.3922 | 346 | 0.6953 | 0.6188 | 0.6953 | 0.8339 |
No log | 3.4118 | 348 | 0.7388 | 0.5610 | 0.7388 | 0.8595 |
No log | 3.4314 | 350 | 0.7196 | 0.5192 | 0.7196 | 0.8483 |
No log | 3.4510 | 352 | 0.7159 | 0.5108 | 0.7159 | 0.8461 |
No log | 3.4706 | 354 | 0.6804 | 0.4493 | 0.6804 | 0.8249 |
No log | 3.4902 | 356 | 0.6839 | 0.4658 | 0.6839 | 0.8270 |
No log | 3.5098 | 358 | 0.6700 | 0.4658 | 0.6700 | 0.8185 |
No log | 3.5294 | 360 | 0.6529 | 0.5469 | 0.6529 | 0.8080 |
No log | 3.5490 | 362 | 0.6380 | 0.5469 | 0.6380 | 0.7987 |
No log | 3.5686 | 364 | 0.6423 | 0.5932 | 0.6423 | 0.8015 |
No log | 3.5882 | 366 | 0.6638 | 0.5585 | 0.6638 | 0.8148 |
No log | 3.6078 | 368 | 0.6824 | 0.5067 | 0.6824 | 0.8261 |
No log | 3.6275 | 370 | 0.7695 | 0.4726 | 0.7695 | 0.8772 |
No log | 3.6471 | 372 | 0.8176 | 0.4217 | 0.8176 | 0.9042 |
No log | 3.6667 | 374 | 0.7425 | 0.5103 | 0.7425 | 0.8617 |
No log | 3.6863 | 376 | 0.6617 | 0.5549 | 0.6617 | 0.8134 |
No log | 3.7059 | 378 | 0.6582 | 0.5912 | 0.6582 | 0.8113 |
No log | 3.7255 | 380 | 0.6399 | 0.6112 | 0.6399 | 0.7999 |
No log | 3.7451 | 382 | 0.6251 | 0.5679 | 0.6251 | 0.7906 |
No log | 3.7647 | 384 | 0.7408 | 0.5019 | 0.7408 | 0.8607 |
No log | 3.7843 | 386 | 0.9449 | 0.4246 | 0.9449 | 0.9721 |
No log | 3.8039 | 388 | 0.9264 | 0.4230 | 0.9264 | 0.9625 |
No log | 3.8235 | 390 | 0.7713 | 0.4755 | 0.7713 | 0.8782 |
No log | 3.8431 | 392 | 0.6509 | 0.5549 | 0.6509 | 0.8068 |
No log | 3.8627 | 394 | 0.6812 | 0.6032 | 0.6812 | 0.8254 |
No log | 3.8824 | 396 | 0.7133 | 0.5552 | 0.7133 | 0.8445 |
No log | 3.9020 | 398 | 0.6913 | 0.5627 | 0.6913 | 0.8314 |
No log | 3.9216 | 400 | 0.6770 | 0.5082 | 0.6770 | 0.8228 |
No log | 3.9412 | 402 | 0.6823 | 0.5118 | 0.6823 | 0.8260 |
No log | 3.9608 | 404 | 0.7429 | 0.4784 | 0.7429 | 0.8619 |
No log | 3.9804 | 406 | 0.7808 | 0.5045 | 0.7808 | 0.8836 |
No log | 4.0 | 408 | 0.7385 | 0.5033 | 0.7385 | 0.8593 |
No log | 4.0196 | 410 | 0.6955 | 0.5131 | 0.6955 | 0.8340 |
No log | 4.0392 | 412 | 0.6899 | 0.5131 | 0.6899 | 0.8306 |
No log | 4.0588 | 414 | 0.6895 | 0.5243 | 0.6895 | 0.8304 |
No log | 4.0784 | 416 | 0.6659 | 0.4998 | 0.6659 | 0.8160 |
No log | 4.0980 | 418 | 0.6552 | 0.5359 | 0.6552 | 0.8094 |
No log | 4.1176 | 420 | 0.6684 | 0.5359 | 0.6684 | 0.8175 |
No log | 4.1373 | 422 | 0.6845 | 0.4990 | 0.6845 | 0.8273 |
No log | 4.1569 | 424 | 0.6766 | 0.4998 | 0.6766 | 0.8225 |
No log | 4.1765 | 426 | 0.6460 | 0.5359 | 0.6460 | 0.8037 |
No log | 4.1961 | 428 | 0.6289 | 0.5185 | 0.6289 | 0.7930 |
No log | 4.2157 | 430 | 0.6335 | 0.5212 | 0.6335 | 0.7959 |
No log | 4.2353 | 432 | 0.6469 | 0.5243 | 0.6469 | 0.8043 |
No log | 4.2549 | 434 | 0.7813 | 0.5148 | 0.7813 | 0.8839 |
No log | 4.2745 | 436 | 0.8211 | 0.5387 | 0.8211 | 0.9062 |
No log | 4.2941 | 438 | 0.8183 | 0.5387 | 0.8183 | 0.9046 |
No log | 4.3137 | 440 | 0.6783 | 0.5243 | 0.6783 | 0.8236 |
No log | 4.3333 | 442 | 0.6654 | 0.5467 | 0.6654 | 0.8157 |
No log | 4.3529 | 444 | 0.7077 | 0.5346 | 0.7077 | 0.8412 |
No log | 4.3725 | 446 | 0.7162 | 0.4767 | 0.7162 | 0.8463 |
No log | 4.3922 | 448 | 0.7674 | 0.4041 | 0.7674 | 0.8760 |
No log | 4.4118 | 450 | 0.8452 | 0.4686 | 0.8452 | 0.9193 |
No log | 4.4314 | 452 | 0.8673 | 0.4701 | 0.8673 | 0.9313 |
No log | 4.4510 | 454 | 0.7716 | 0.5148 | 0.7716 | 0.8784 |
No log | 4.4706 | 456 | 0.6402 | 0.5108 | 0.6402 | 0.8001 |
No log | 4.4902 | 458 | 0.6406 | 0.6102 | 0.6406 | 0.8004 |
No log | 4.5098 | 460 | 0.6672 | 0.6468 | 0.6672 | 0.8168 |
No log | 4.5294 | 462 | 0.6181 | 0.6167 | 0.6181 | 0.7862 |
No log | 4.5490 | 464 | 0.6241 | 0.5879 | 0.6241 | 0.7900 |
No log | 4.5686 | 466 | 0.6806 | 0.5794 | 0.6806 | 0.8250 |
No log | 4.5882 | 468 | 0.7098 | 0.4755 | 0.7098 | 0.8425 |
No log | 4.6078 | 470 | 0.7035 | 0.5118 | 0.7035 | 0.8387 |
No log | 4.6275 | 472 | 0.6811 | 0.5082 | 0.6811 | 0.8253 |
No log | 4.6471 | 474 | 0.7085 | 0.5472 | 0.7085 | 0.8417 |
No log | 4.6667 | 476 | 0.7784 | 0.5470 | 0.7784 | 0.8823 |
No log | 4.6863 | 478 | 0.7365 | 0.5833 | 0.7365 | 0.8582 |
No log | 4.7059 | 480 | 0.6936 | 0.5168 | 0.6936 | 0.8328 |
No log | 4.7255 | 482 | 0.7786 | 0.4505 | 0.7786 | 0.8824 |
No log | 4.7451 | 484 | 0.7979 | 0.4526 | 0.7979 | 0.8932 |
No log | 4.7647 | 486 | 0.7889 | 0.4526 | 0.7889 | 0.8882 |
No log | 4.7843 | 488 | 0.7067 | 0.5419 | 0.7067 | 0.8407 |
No log | 4.8039 | 490 | 0.6984 | 0.5516 | 0.6984 | 0.8357 |
No log | 4.8235 | 492 | 0.7007 | 0.5516 | 0.7007 | 0.8371 |
No log | 4.8431 | 494 | 0.7066 | 0.5419 | 0.7066 | 0.8406 |
No log | 4.8627 | 496 | 0.7262 | 0.5063 | 0.7262 | 0.8522 |
No log | 4.8824 | 498 | 0.7279 | 0.5063 | 0.7279 | 0.8532 |
0.2578 | 4.9020 | 500 | 0.7196 | 0.5153 | 0.7196 | 0.8483 |
0.2578 | 4.9216 | 502 | 0.7408 | 0.4781 | 0.7408 | 0.8607 |
0.2578 | 4.9412 | 504 | 0.8056 | 0.4303 | 0.8056 | 0.8976 |
0.2578 | 4.9608 | 506 | 0.9371 | 0.3791 | 0.9371 | 0.9680 |
0.2578 | 4.9804 | 508 | 1.0167 | 0.2707 | 1.0167 | 1.0083 |
0.2578 | 5.0 | 510 | 1.0239 | 0.1951 | 1.0239 | 1.0119 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k20_task5_organization
Base model
aubmindlab/bert-base-arabertv02