ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k17_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: 0.5599
- Qwk: 0.4358
- Mse: 0.5599
- Rmse: 0.7483
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 | 0.0225 | 2 | 4.2850 | -0.0290 | 4.2850 | 2.0700 |
No log | 0.0449 | 4 | 2.3492 | 0.0242 | 2.3492 | 1.5327 |
No log | 0.0674 | 6 | 1.6120 | -0.0421 | 1.6120 | 1.2696 |
No log | 0.0899 | 8 | 1.1552 | -0.0837 | 1.1552 | 1.0748 |
No log | 0.1124 | 10 | 0.8626 | 0.1666 | 0.8626 | 0.9287 |
No log | 0.1348 | 12 | 0.8249 | 0.1904 | 0.8249 | 0.9082 |
No log | 0.1573 | 14 | 0.8308 | 0.1904 | 0.8308 | 0.9115 |
No log | 0.1798 | 16 | 0.8278 | 0.2052 | 0.8278 | 0.9098 |
No log | 0.2022 | 18 | 0.8268 | 0.2111 | 0.8268 | 0.9093 |
No log | 0.2247 | 20 | 1.0178 | -0.0325 | 1.0178 | 1.0088 |
No log | 0.2472 | 22 | 0.9914 | -0.0533 | 0.9914 | 0.9957 |
No log | 0.2697 | 24 | 0.9064 | 0.0675 | 0.9064 | 0.9521 |
No log | 0.2921 | 26 | 0.8167 | 0.2155 | 0.8167 | 0.9037 |
No log | 0.3146 | 28 | 1.0507 | 0.2071 | 1.0507 | 1.0250 |
No log | 0.3371 | 30 | 1.1920 | 0.2146 | 1.1920 | 1.0918 |
No log | 0.3596 | 32 | 1.0570 | 0.2286 | 1.0570 | 1.0281 |
No log | 0.3820 | 34 | 0.9414 | 0.0916 | 0.9414 | 0.9703 |
No log | 0.4045 | 36 | 0.9345 | 0.0710 | 0.9345 | 0.9667 |
No log | 0.4270 | 38 | 0.9005 | 0.0602 | 0.9005 | 0.9489 |
No log | 0.4494 | 40 | 1.3443 | 0.0358 | 1.3443 | 1.1594 |
No log | 0.4719 | 42 | 1.7260 | -0.0131 | 1.7260 | 1.3138 |
No log | 0.4944 | 44 | 1.6694 | 0.0307 | 1.6694 | 1.2921 |
No log | 0.5169 | 46 | 1.3198 | 0.0262 | 1.3198 | 1.1488 |
No log | 0.5393 | 48 | 1.1206 | 0.0520 | 1.1206 | 1.0586 |
No log | 0.5618 | 50 | 0.8457 | 0.1572 | 0.8457 | 0.9196 |
No log | 0.5843 | 52 | 0.7546 | 0.2597 | 0.7546 | 0.8687 |
No log | 0.6067 | 54 | 0.7351 | 0.2256 | 0.7351 | 0.8574 |
No log | 0.6292 | 56 | 0.7337 | 0.2183 | 0.7337 | 0.8565 |
No log | 0.6517 | 58 | 0.7175 | 0.2793 | 0.7175 | 0.8471 |
No log | 0.6742 | 60 | 0.7632 | 0.2648 | 0.7632 | 0.8736 |
No log | 0.6966 | 62 | 0.9105 | 0.1509 | 0.9105 | 0.9542 |
No log | 0.7191 | 64 | 0.9177 | 0.0957 | 0.9177 | 0.9580 |
No log | 0.7416 | 66 | 0.9389 | 0.0740 | 0.9389 | 0.9690 |
No log | 0.7640 | 68 | 1.1845 | 0.0872 | 1.1845 | 1.0883 |
No log | 0.7865 | 70 | 1.0935 | 0.1029 | 1.0935 | 1.0457 |
No log | 0.8090 | 72 | 0.8092 | 0.2740 | 0.8092 | 0.8996 |
No log | 0.8315 | 74 | 0.6714 | 0.3240 | 0.6714 | 0.8194 |
No log | 0.8539 | 76 | 0.7795 | 0.3445 | 0.7795 | 0.8829 |
No log | 0.8764 | 78 | 0.7717 | 0.2748 | 0.7717 | 0.8785 |
No log | 0.8989 | 80 | 0.7247 | 0.3309 | 0.7247 | 0.8513 |
No log | 0.9213 | 82 | 0.6840 | 0.4090 | 0.6840 | 0.8271 |
No log | 0.9438 | 84 | 0.6735 | 0.3917 | 0.6735 | 0.8207 |
No log | 0.9663 | 86 | 0.6714 | 0.3016 | 0.6714 | 0.8194 |
No log | 0.9888 | 88 | 0.6764 | 0.3422 | 0.6764 | 0.8224 |
No log | 1.0112 | 90 | 0.6822 | 0.3626 | 0.6822 | 0.8260 |
No log | 1.0337 | 92 | 0.6739 | 0.3695 | 0.6739 | 0.8209 |
No log | 1.0562 | 94 | 0.6643 | 0.4741 | 0.6643 | 0.8150 |
No log | 1.0787 | 96 | 0.6609 | 0.4796 | 0.6609 | 0.8130 |
No log | 1.1011 | 98 | 0.6413 | 0.4337 | 0.6413 | 0.8008 |
No log | 1.1236 | 100 | 0.6415 | 0.4689 | 0.6415 | 0.8009 |
No log | 1.1461 | 102 | 0.6824 | 0.3696 | 0.6824 | 0.8261 |
No log | 1.1685 | 104 | 0.6863 | 0.3665 | 0.6863 | 0.8284 |
No log | 1.1910 | 106 | 0.7428 | 0.3964 | 0.7428 | 0.8618 |
No log | 1.2135 | 108 | 0.8756 | 0.2779 | 0.8756 | 0.9357 |
No log | 1.2360 | 110 | 1.0186 | 0.2189 | 1.0186 | 1.0093 |
No log | 1.2584 | 112 | 0.9316 | 0.2569 | 0.9316 | 0.9652 |
No log | 1.2809 | 114 | 0.6762 | 0.3601 | 0.6762 | 0.8223 |
No log | 1.3034 | 116 | 0.6314 | 0.4284 | 0.6314 | 0.7946 |
No log | 1.3258 | 118 | 0.7602 | 0.3478 | 0.7602 | 0.8719 |
No log | 1.3483 | 120 | 0.6713 | 0.3941 | 0.6713 | 0.8193 |
No log | 1.3708 | 122 | 0.6439 | 0.4241 | 0.6439 | 0.8024 |
No log | 1.3933 | 124 | 0.9615 | 0.3263 | 0.9615 | 0.9806 |
No log | 1.4157 | 126 | 1.0530 | 0.3698 | 1.0530 | 1.0262 |
No log | 1.4382 | 128 | 0.9506 | 0.4605 | 0.9506 | 0.9750 |
No log | 1.4607 | 130 | 0.7867 | 0.4520 | 0.7867 | 0.8869 |
No log | 1.4831 | 132 | 0.7971 | 0.4377 | 0.7971 | 0.8928 |
No log | 1.5056 | 134 | 0.9719 | 0.4372 | 0.9719 | 0.9859 |
No log | 1.5281 | 136 | 1.0757 | 0.3751 | 1.0757 | 1.0371 |
No log | 1.5506 | 138 | 0.8825 | 0.4583 | 0.8825 | 0.9394 |
No log | 1.5730 | 140 | 0.6734 | 0.4901 | 0.6734 | 0.8206 |
No log | 1.5955 | 142 | 0.6998 | 0.4347 | 0.6998 | 0.8366 |
No log | 1.6180 | 144 | 0.7189 | 0.3911 | 0.7189 | 0.8479 |
No log | 1.6404 | 146 | 0.6553 | 0.4181 | 0.6553 | 0.8095 |
No log | 1.6629 | 148 | 0.7100 | 0.4726 | 0.7100 | 0.8426 |
No log | 1.6854 | 150 | 0.7947 | 0.4274 | 0.7947 | 0.8914 |
No log | 1.7079 | 152 | 0.7201 | 0.4478 | 0.7201 | 0.8486 |
No log | 1.7303 | 154 | 0.6795 | 0.4862 | 0.6795 | 0.8243 |
No log | 1.7528 | 156 | 0.9566 | 0.3805 | 0.9566 | 0.9781 |
No log | 1.7753 | 158 | 1.2026 | 0.2745 | 1.2026 | 1.0966 |
No log | 1.7978 | 160 | 1.0963 | 0.3446 | 1.0963 | 1.0470 |
No log | 1.8202 | 162 | 0.8118 | 0.3660 | 0.8118 | 0.9010 |
No log | 1.8427 | 164 | 0.6855 | 0.4622 | 0.6855 | 0.8279 |
No log | 1.8652 | 166 | 0.8377 | 0.4211 | 0.8377 | 0.9153 |
No log | 1.8876 | 168 | 0.8999 | 0.4111 | 0.8999 | 0.9486 |
No log | 1.9101 | 170 | 0.7904 | 0.4353 | 0.7904 | 0.8891 |
No log | 1.9326 | 172 | 0.7085 | 0.4291 | 0.7085 | 0.8418 |
No log | 1.9551 | 174 | 0.6445 | 0.4048 | 0.6445 | 0.8028 |
No log | 1.9775 | 176 | 0.6008 | 0.4059 | 0.6008 | 0.7751 |
No log | 2.0 | 178 | 0.6276 | 0.3515 | 0.6276 | 0.7922 |
No log | 2.0225 | 180 | 0.7185 | 0.4346 | 0.7185 | 0.8476 |
No log | 2.0449 | 182 | 0.7180 | 0.3990 | 0.7180 | 0.8473 |
No log | 2.0674 | 184 | 0.6410 | 0.3437 | 0.6410 | 0.8006 |
No log | 2.0899 | 186 | 0.6056 | 0.3936 | 0.6056 | 0.7782 |
No log | 2.1124 | 188 | 0.6280 | 0.4090 | 0.6280 | 0.7925 |
No log | 2.1348 | 190 | 0.6390 | 0.4273 | 0.6390 | 0.7994 |
No log | 2.1573 | 192 | 0.6330 | 0.4370 | 0.6330 | 0.7956 |
No log | 2.1798 | 194 | 0.6565 | 0.4476 | 0.6565 | 0.8103 |
No log | 2.2022 | 196 | 0.7223 | 0.4589 | 0.7223 | 0.8499 |
No log | 2.2247 | 198 | 0.7167 | 0.4714 | 0.7167 | 0.8466 |
No log | 2.2472 | 200 | 0.6602 | 0.4965 | 0.6602 | 0.8125 |
No log | 2.2697 | 202 | 0.6372 | 0.4722 | 0.6372 | 0.7983 |
No log | 2.2921 | 204 | 0.6205 | 0.4483 | 0.6205 | 0.7877 |
No log | 2.3146 | 206 | 0.6246 | 0.4874 | 0.6246 | 0.7903 |
No log | 2.3371 | 208 | 0.7312 | 0.4835 | 0.7312 | 0.8551 |
No log | 2.3596 | 210 | 0.8261 | 0.4812 | 0.8261 | 0.9089 |
No log | 2.3820 | 212 | 0.7791 | 0.4729 | 0.7791 | 0.8827 |
No log | 2.4045 | 214 | 0.6573 | 0.4951 | 0.6573 | 0.8107 |
No log | 2.4270 | 216 | 0.6010 | 0.4592 | 0.6010 | 0.7752 |
No log | 2.4494 | 218 | 0.6035 | 0.4854 | 0.6035 | 0.7769 |
No log | 2.4719 | 220 | 0.6290 | 0.4559 | 0.6290 | 0.7931 |
No log | 2.4944 | 222 | 0.6743 | 0.4859 | 0.6743 | 0.8211 |
No log | 2.5169 | 224 | 0.6862 | 0.4859 | 0.6862 | 0.8283 |
No log | 2.5393 | 226 | 0.6538 | 0.4743 | 0.6538 | 0.8086 |
No log | 2.5618 | 228 | 0.6310 | 0.3841 | 0.6310 | 0.7943 |
No log | 2.5843 | 230 | 0.6622 | 0.4465 | 0.6622 | 0.8138 |
No log | 2.6067 | 232 | 0.6709 | 0.4182 | 0.6709 | 0.8191 |
No log | 2.6292 | 234 | 0.6353 | 0.3775 | 0.6353 | 0.7970 |
No log | 2.6517 | 236 | 0.6483 | 0.4596 | 0.6483 | 0.8052 |
No log | 2.6742 | 238 | 0.7698 | 0.4690 | 0.7698 | 0.8774 |
No log | 2.6966 | 240 | 0.8071 | 0.4599 | 0.8071 | 0.8984 |
No log | 2.7191 | 242 | 0.7253 | 0.4276 | 0.7253 | 0.8517 |
No log | 2.7416 | 244 | 0.6151 | 0.4416 | 0.6151 | 0.7843 |
No log | 2.7640 | 246 | 0.6034 | 0.3808 | 0.6034 | 0.7768 |
No log | 2.7865 | 248 | 0.6065 | 0.4310 | 0.6065 | 0.7788 |
No log | 2.8090 | 250 | 0.6213 | 0.4423 | 0.6213 | 0.7882 |
No log | 2.8315 | 252 | 0.6909 | 0.4726 | 0.6909 | 0.8312 |
No log | 2.8539 | 254 | 0.7137 | 0.4986 | 0.7137 | 0.8448 |
No log | 2.8764 | 256 | 0.6894 | 0.4873 | 0.6894 | 0.8303 |
No log | 2.8989 | 258 | 0.6678 | 0.4965 | 0.6678 | 0.8172 |
No log | 2.9213 | 260 | 0.6167 | 0.3877 | 0.6167 | 0.7853 |
No log | 2.9438 | 262 | 0.6329 | 0.4112 | 0.6329 | 0.7955 |
No log | 2.9663 | 264 | 0.6754 | 0.4362 | 0.6754 | 0.8218 |
No log | 2.9888 | 266 | 0.6831 | 0.4416 | 0.6831 | 0.8265 |
No log | 3.0112 | 268 | 0.6769 | 0.4245 | 0.6769 | 0.8227 |
No log | 3.0337 | 270 | 0.6454 | 0.4178 | 0.6454 | 0.8033 |
No log | 3.0562 | 272 | 0.6347 | 0.4842 | 0.6347 | 0.7967 |
No log | 3.0787 | 274 | 0.6497 | 0.4973 | 0.6497 | 0.8060 |
No log | 3.1011 | 276 | 0.6346 | 0.4899 | 0.6346 | 0.7966 |
No log | 3.1236 | 278 | 0.6362 | 0.5206 | 0.6362 | 0.7976 |
No log | 3.1461 | 280 | 0.5924 | 0.4693 | 0.5924 | 0.7697 |
No log | 3.1685 | 282 | 0.5663 | 0.4344 | 0.5663 | 0.7525 |
No log | 3.1910 | 284 | 0.5611 | 0.5020 | 0.5611 | 0.7491 |
No log | 3.2135 | 286 | 0.5637 | 0.5124 | 0.5637 | 0.7508 |
No log | 3.2360 | 288 | 0.5748 | 0.5445 | 0.5748 | 0.7581 |
No log | 3.2584 | 290 | 0.5746 | 0.5333 | 0.5746 | 0.7580 |
No log | 3.2809 | 292 | 0.5721 | 0.5325 | 0.5721 | 0.7564 |
No log | 3.3034 | 294 | 0.5777 | 0.4864 | 0.5777 | 0.7601 |
No log | 3.3258 | 296 | 0.6161 | 0.4958 | 0.6161 | 0.7849 |
No log | 3.3483 | 298 | 0.7161 | 0.5162 | 0.7161 | 0.8463 |
No log | 3.3708 | 300 | 0.7244 | 0.5233 | 0.7244 | 0.8511 |
No log | 3.3933 | 302 | 0.6232 | 0.5465 | 0.6232 | 0.7894 |
No log | 3.4157 | 304 | 0.5695 | 0.5225 | 0.5695 | 0.7546 |
No log | 3.4382 | 306 | 0.5666 | 0.4965 | 0.5666 | 0.7528 |
No log | 3.4607 | 308 | 0.5716 | 0.5108 | 0.5716 | 0.7560 |
No log | 3.4831 | 310 | 0.5790 | 0.5269 | 0.5790 | 0.7609 |
No log | 3.5056 | 312 | 0.5823 | 0.4679 | 0.5823 | 0.7631 |
No log | 3.5281 | 314 | 0.5782 | 0.4842 | 0.5782 | 0.7604 |
No log | 3.5506 | 316 | 0.5827 | 0.4971 | 0.5827 | 0.7634 |
No log | 3.5730 | 318 | 0.6266 | 0.5528 | 0.6266 | 0.7916 |
No log | 3.5955 | 320 | 0.6555 | 0.5183 | 0.6555 | 0.8097 |
No log | 3.6180 | 322 | 0.6307 | 0.4739 | 0.6307 | 0.7942 |
No log | 3.6404 | 324 | 0.5794 | 0.4339 | 0.5794 | 0.7612 |
No log | 3.6629 | 326 | 0.5764 | 0.3987 | 0.5764 | 0.7592 |
No log | 3.6854 | 328 | 0.5596 | 0.3967 | 0.5596 | 0.7481 |
No log | 3.7079 | 330 | 0.5576 | 0.3967 | 0.5576 | 0.7467 |
No log | 3.7303 | 332 | 0.5516 | 0.4329 | 0.5516 | 0.7427 |
No log | 3.7528 | 334 | 0.5658 | 0.4888 | 0.5658 | 0.7522 |
No log | 3.7753 | 336 | 0.5654 | 0.4932 | 0.5654 | 0.7519 |
No log | 3.7978 | 338 | 0.5774 | 0.5290 | 0.5774 | 0.7598 |
No log | 3.8202 | 340 | 0.5843 | 0.5064 | 0.5843 | 0.7644 |
No log | 3.8427 | 342 | 0.5726 | 0.5121 | 0.5726 | 0.7567 |
No log | 3.8652 | 344 | 0.5837 | 0.5213 | 0.5837 | 0.7640 |
No log | 3.8876 | 346 | 0.5837 | 0.4719 | 0.5837 | 0.7640 |
No log | 3.9101 | 348 | 0.6308 | 0.4867 | 0.6308 | 0.7942 |
No log | 3.9326 | 350 | 0.6970 | 0.5034 | 0.6970 | 0.8349 |
No log | 3.9551 | 352 | 0.6579 | 0.4675 | 0.6579 | 0.8111 |
No log | 3.9775 | 354 | 0.6209 | 0.4396 | 0.6209 | 0.7880 |
No log | 4.0 | 356 | 0.6265 | 0.4273 | 0.6265 | 0.7915 |
No log | 4.0225 | 358 | 0.6152 | 0.4088 | 0.6152 | 0.7844 |
No log | 4.0449 | 360 | 0.6301 | 0.4546 | 0.6301 | 0.7938 |
No log | 4.0674 | 362 | 0.6283 | 0.4568 | 0.6283 | 0.7927 |
No log | 4.0899 | 364 | 0.6051 | 0.4057 | 0.6051 | 0.7779 |
No log | 4.1124 | 366 | 0.6008 | 0.3971 | 0.6008 | 0.7751 |
No log | 4.1348 | 368 | 0.5983 | 0.3971 | 0.5983 | 0.7735 |
No log | 4.1573 | 370 | 0.5981 | 0.4036 | 0.5981 | 0.7734 |
No log | 4.1798 | 372 | 0.5991 | 0.4270 | 0.5991 | 0.7740 |
No log | 4.2022 | 374 | 0.6122 | 0.3981 | 0.6122 | 0.7824 |
No log | 4.2247 | 376 | 0.6392 | 0.3958 | 0.6392 | 0.7995 |
No log | 4.2472 | 378 | 0.6299 | 0.4122 | 0.6299 | 0.7937 |
No log | 4.2697 | 380 | 0.6056 | 0.3827 | 0.6056 | 0.7782 |
No log | 4.2921 | 382 | 0.6079 | 0.3857 | 0.6079 | 0.7797 |
No log | 4.3146 | 384 | 0.6158 | 0.3972 | 0.6158 | 0.7848 |
No log | 4.3371 | 386 | 0.6174 | 0.4110 | 0.6174 | 0.7857 |
No log | 4.3596 | 388 | 0.6188 | 0.4305 | 0.6188 | 0.7866 |
No log | 4.3820 | 390 | 0.6232 | 0.4328 | 0.6232 | 0.7894 |
No log | 4.4045 | 392 | 0.6369 | 0.4232 | 0.6369 | 0.7981 |
No log | 4.4270 | 394 | 0.6776 | 0.3725 | 0.6776 | 0.8232 |
No log | 4.4494 | 396 | 0.6616 | 0.3733 | 0.6616 | 0.8134 |
No log | 4.4719 | 398 | 0.6212 | 0.4482 | 0.6212 | 0.7882 |
No log | 4.4944 | 400 | 0.6177 | 0.4912 | 0.6177 | 0.7859 |
No log | 4.5169 | 402 | 0.6681 | 0.4913 | 0.6681 | 0.8174 |
No log | 4.5393 | 404 | 0.6826 | 0.5033 | 0.6826 | 0.8262 |
No log | 4.5618 | 406 | 0.6401 | 0.5387 | 0.6401 | 0.8001 |
No log | 4.5843 | 408 | 0.5906 | 0.4796 | 0.5906 | 0.7685 |
No log | 4.6067 | 410 | 0.6101 | 0.4258 | 0.6101 | 0.7811 |
No log | 4.6292 | 412 | 0.6161 | 0.4166 | 0.6161 | 0.7849 |
No log | 4.6517 | 414 | 0.6369 | 0.4339 | 0.6369 | 0.7981 |
No log | 4.6742 | 416 | 0.6187 | 0.4787 | 0.6187 | 0.7866 |
No log | 4.6966 | 418 | 0.6789 | 0.5182 | 0.6789 | 0.8240 |
No log | 4.7191 | 420 | 0.7086 | 0.5139 | 0.7086 | 0.8418 |
No log | 4.7416 | 422 | 0.6608 | 0.5113 | 0.6608 | 0.8129 |
No log | 4.7640 | 424 | 0.6345 | 0.4349 | 0.6345 | 0.7965 |
No log | 4.7865 | 426 | 0.6362 | 0.4330 | 0.6362 | 0.7976 |
No log | 4.8090 | 428 | 0.6201 | 0.4169 | 0.6201 | 0.7874 |
No log | 4.8315 | 430 | 0.6141 | 0.4169 | 0.6141 | 0.7837 |
No log | 4.8539 | 432 | 0.6423 | 0.4694 | 0.6423 | 0.8014 |
No log | 4.8764 | 434 | 0.7369 | 0.4568 | 0.7369 | 0.8584 |
No log | 4.8989 | 436 | 0.7239 | 0.4568 | 0.7239 | 0.8508 |
No log | 4.9213 | 438 | 0.6153 | 0.4811 | 0.6153 | 0.7844 |
No log | 4.9438 | 440 | 0.5985 | 0.4126 | 0.5985 | 0.7736 |
No log | 4.9663 | 442 | 0.6959 | 0.4921 | 0.6959 | 0.8342 |
No log | 4.9888 | 444 | 0.7749 | 0.4929 | 0.7749 | 0.8803 |
No log | 5.0112 | 446 | 0.7062 | 0.4968 | 0.7062 | 0.8404 |
No log | 5.0337 | 448 | 0.5966 | 0.4320 | 0.5966 | 0.7724 |
No log | 5.0562 | 450 | 0.5846 | 0.4279 | 0.5846 | 0.7646 |
No log | 5.0787 | 452 | 0.5802 | 0.4141 | 0.5802 | 0.7617 |
No log | 5.1011 | 454 | 0.5966 | 0.3986 | 0.5966 | 0.7724 |
No log | 5.1236 | 456 | 0.6337 | 0.4594 | 0.6337 | 0.7961 |
No log | 5.1461 | 458 | 0.7217 | 0.4516 | 0.7217 | 0.8496 |
No log | 5.1685 | 460 | 0.7357 | 0.4561 | 0.7357 | 0.8577 |
No log | 5.1910 | 462 | 0.6542 | 0.4632 | 0.6542 | 0.8088 |
No log | 5.2135 | 464 | 0.5665 | 0.4213 | 0.5665 | 0.7527 |
No log | 5.2360 | 466 | 0.5794 | 0.4455 | 0.5794 | 0.7612 |
No log | 5.2584 | 468 | 0.5765 | 0.4455 | 0.5765 | 0.7593 |
No log | 5.2809 | 470 | 0.5630 | 0.4579 | 0.5630 | 0.7503 |
No log | 5.3034 | 472 | 0.5581 | 0.4680 | 0.5581 | 0.7471 |
No log | 5.3258 | 474 | 0.5573 | 0.4893 | 0.5573 | 0.7465 |
No log | 5.3483 | 476 | 0.5760 | 0.5021 | 0.5760 | 0.7590 |
No log | 5.3708 | 478 | 0.5840 | 0.4899 | 0.5840 | 0.7642 |
No log | 5.3933 | 480 | 0.5762 | 0.5331 | 0.5762 | 0.7591 |
No log | 5.4157 | 482 | 0.5639 | 0.5527 | 0.5639 | 0.7509 |
No log | 5.4382 | 484 | 0.5677 | 0.4937 | 0.5677 | 0.7535 |
No log | 5.4607 | 486 | 0.5795 | 0.4794 | 0.5795 | 0.7613 |
No log | 5.4831 | 488 | 0.5598 | 0.5263 | 0.5598 | 0.7482 |
No log | 5.5056 | 490 | 0.5493 | 0.5097 | 0.5493 | 0.7411 |
No log | 5.5281 | 492 | 0.5455 | 0.4914 | 0.5455 | 0.7386 |
No log | 5.5506 | 494 | 0.5630 | 0.4284 | 0.5630 | 0.7503 |
No log | 5.5730 | 496 | 0.6080 | 0.5134 | 0.6080 | 0.7797 |
No log | 5.5955 | 498 | 0.6030 | 0.5128 | 0.6030 | 0.7765 |
0.4206 | 5.6180 | 500 | 0.5927 | 0.4962 | 0.5927 | 0.7699 |
0.4206 | 5.6404 | 502 | 0.5900 | 0.5010 | 0.5900 | 0.7681 |
0.4206 | 5.6629 | 504 | 0.5920 | 0.4922 | 0.5920 | 0.7694 |
0.4206 | 5.6854 | 506 | 0.5919 | 0.5031 | 0.5919 | 0.7694 |
0.4206 | 5.7079 | 508 | 0.6197 | 0.5468 | 0.6197 | 0.7872 |
0.4206 | 5.7303 | 510 | 0.6549 | 0.5048 | 0.6549 | 0.8092 |
0.4206 | 5.7528 | 512 | 0.6261 | 0.5551 | 0.6261 | 0.7913 |
0.4206 | 5.7753 | 514 | 0.5879 | 0.5038 | 0.5879 | 0.7667 |
0.4206 | 5.7978 | 516 | 0.5857 | 0.5192 | 0.5857 | 0.7653 |
0.4206 | 5.8202 | 518 | 0.5974 | 0.5093 | 0.5974 | 0.7729 |
0.4206 | 5.8427 | 520 | 0.5935 | 0.5222 | 0.5935 | 0.7704 |
0.4206 | 5.8652 | 522 | 0.5956 | 0.5083 | 0.5956 | 0.7718 |
0.4206 | 5.8876 | 524 | 0.5951 | 0.5123 | 0.5951 | 0.7714 |
0.4206 | 5.9101 | 526 | 0.6029 | 0.5291 | 0.6029 | 0.7765 |
0.4206 | 5.9326 | 528 | 0.5935 | 0.4850 | 0.5935 | 0.7704 |
0.4206 | 5.9551 | 530 | 0.5781 | 0.4418 | 0.5781 | 0.7603 |
0.4206 | 5.9775 | 532 | 0.5987 | 0.4899 | 0.5987 | 0.7738 |
0.4206 | 6.0 | 534 | 0.6322 | 0.5116 | 0.6322 | 0.7951 |
0.4206 | 6.0225 | 536 | 0.6754 | 0.5123 | 0.6754 | 0.8218 |
0.4206 | 6.0449 | 538 | 0.6516 | 0.5434 | 0.6516 | 0.8072 |
0.4206 | 6.0674 | 540 | 0.5774 | 0.5558 | 0.5774 | 0.7598 |
0.4206 | 6.0899 | 542 | 0.5554 | 0.5323 | 0.5554 | 0.7453 |
0.4206 | 6.1124 | 544 | 0.5738 | 0.5503 | 0.5738 | 0.7575 |
0.4206 | 6.1348 | 546 | 0.5698 | 0.5354 | 0.5698 | 0.7549 |
0.4206 | 6.1573 | 548 | 0.5582 | 0.5177 | 0.5582 | 0.7472 |
0.4206 | 6.1798 | 550 | 0.5773 | 0.5668 | 0.5773 | 0.7598 |
0.4206 | 6.2022 | 552 | 0.6561 | 0.5887 | 0.6561 | 0.8100 |
0.4206 | 6.2247 | 554 | 0.6784 | 0.5713 | 0.6784 | 0.8236 |
0.4206 | 6.2472 | 556 | 0.6450 | 0.5696 | 0.6450 | 0.8031 |
0.4206 | 6.2697 | 558 | 0.6104 | 0.5544 | 0.6104 | 0.7813 |
0.4206 | 6.2921 | 560 | 0.5785 | 0.4921 | 0.5785 | 0.7606 |
0.4206 | 6.3146 | 562 | 0.5716 | 0.4950 | 0.5716 | 0.7560 |
0.4206 | 6.3371 | 564 | 0.5700 | 0.4741 | 0.5700 | 0.7550 |
0.4206 | 6.3596 | 566 | 0.5716 | 0.4753 | 0.5716 | 0.7560 |
0.4206 | 6.3820 | 568 | 0.5874 | 0.5665 | 0.5874 | 0.7664 |
0.4206 | 6.4045 | 570 | 0.6208 | 0.5831 | 0.6208 | 0.7879 |
0.4206 | 6.4270 | 572 | 0.6735 | 0.5525 | 0.6735 | 0.8207 |
0.4206 | 6.4494 | 574 | 0.6873 | 0.5374 | 0.6873 | 0.8290 |
0.4206 | 6.4719 | 576 | 0.6221 | 0.5452 | 0.6221 | 0.7888 |
0.4206 | 6.4944 | 578 | 0.5616 | 0.4796 | 0.5616 | 0.7494 |
0.4206 | 6.5169 | 580 | 0.5658 | 0.4337 | 0.5658 | 0.7522 |
0.4206 | 6.5393 | 582 | 0.5919 | 0.4529 | 0.5919 | 0.7694 |
0.4206 | 6.5618 | 584 | 0.5793 | 0.4335 | 0.5793 | 0.7611 |
0.4206 | 6.5843 | 586 | 0.5599 | 0.4358 | 0.5599 | 0.7483 |
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_run2_AugV5_k17_task2_organization
Base model
aubmindlab/bert-base-arabertv02