ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_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: 0.7920
- Qwk: 0.3974
- Mse: 0.7920
- Rmse: 0.8899
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 | 0.0247 | 2 | 3.9153 | -0.0323 | 3.9153 | 1.9787 |
| No log | 0.0494 | 4 | 2.1126 | -0.0668 | 2.1126 | 1.4535 |
| No log | 0.0741 | 6 | 1.6808 | -0.0144 | 1.6808 | 1.2964 |
| No log | 0.0988 | 8 | 1.2299 | 0.1706 | 1.2299 | 1.1090 |
| No log | 0.1235 | 10 | 1.2968 | 0.1036 | 1.2968 | 1.1388 |
| No log | 0.1481 | 12 | 1.1291 | 0.2171 | 1.1291 | 1.0626 |
| No log | 0.1728 | 14 | 1.1179 | 0.2787 | 1.1179 | 1.0573 |
| No log | 0.1975 | 16 | 1.1847 | 0.2042 | 1.1847 | 1.0884 |
| No log | 0.2222 | 18 | 1.1169 | 0.0824 | 1.1169 | 1.0568 |
| No log | 0.2469 | 20 | 1.0947 | 0.2135 | 1.0947 | 1.0463 |
| No log | 0.2716 | 22 | 1.1034 | 0.1981 | 1.1034 | 1.0504 |
| No log | 0.2963 | 24 | 1.1265 | 0.0762 | 1.1265 | 1.0614 |
| No log | 0.3210 | 26 | 1.1794 | 0.0 | 1.1794 | 1.0860 |
| No log | 0.3457 | 28 | 1.1157 | 0.0604 | 1.1157 | 1.0563 |
| No log | 0.3704 | 30 | 1.0054 | 0.1487 | 1.0054 | 1.0027 |
| No log | 0.3951 | 32 | 0.9650 | 0.2569 | 0.9650 | 0.9823 |
| No log | 0.4198 | 34 | 0.9557 | 0.2897 | 0.9557 | 0.9776 |
| No log | 0.4444 | 36 | 0.9639 | 0.3499 | 0.9639 | 0.9818 |
| No log | 0.4691 | 38 | 0.9874 | 0.2611 | 0.9874 | 0.9937 |
| No log | 0.4938 | 40 | 0.8923 | 0.3604 | 0.8923 | 0.9446 |
| No log | 0.5185 | 42 | 0.8806 | 0.3192 | 0.8806 | 0.9384 |
| No log | 0.5432 | 44 | 0.9241 | 0.1761 | 0.9241 | 0.9613 |
| No log | 0.5679 | 46 | 0.9040 | 0.1909 | 0.9040 | 0.9508 |
| No log | 0.5926 | 48 | 0.8736 | 0.3503 | 0.8736 | 0.9347 |
| No log | 0.6173 | 50 | 0.8814 | 0.3763 | 0.8814 | 0.9388 |
| No log | 0.6420 | 52 | 0.8645 | 0.3264 | 0.8645 | 0.9298 |
| No log | 0.6667 | 54 | 0.8676 | 0.2993 | 0.8676 | 0.9315 |
| No log | 0.6914 | 56 | 0.9758 | 0.2588 | 0.9758 | 0.9878 |
| No log | 0.7160 | 58 | 1.0728 | 0.2650 | 1.0728 | 1.0358 |
| No log | 0.7407 | 60 | 0.8733 | 0.2556 | 0.8733 | 0.9345 |
| No log | 0.7654 | 62 | 0.7878 | 0.4241 | 0.7878 | 0.8876 |
| No log | 0.7901 | 64 | 0.7848 | 0.4312 | 0.7848 | 0.8859 |
| No log | 0.8148 | 66 | 0.8038 | 0.4113 | 0.8038 | 0.8965 |
| No log | 0.8395 | 68 | 0.8190 | 0.4113 | 0.8190 | 0.9050 |
| No log | 0.8642 | 70 | 0.7648 | 0.4286 | 0.7648 | 0.8745 |
| No log | 0.8889 | 72 | 0.8720 | 0.3519 | 0.8720 | 0.9338 |
| No log | 0.9136 | 74 | 1.1168 | 0.3686 | 1.1168 | 1.0568 |
| No log | 0.9383 | 76 | 1.2305 | 0.3001 | 1.2305 | 1.1093 |
| No log | 0.9630 | 78 | 1.2278 | 0.3001 | 1.2278 | 1.1081 |
| No log | 0.9877 | 80 | 1.2037 | 0.3231 | 1.2037 | 1.0971 |
| No log | 1.0123 | 82 | 1.1788 | 0.3511 | 1.1788 | 1.0857 |
| No log | 1.0370 | 84 | 1.1318 | 0.4081 | 1.1318 | 1.0639 |
| No log | 1.0617 | 86 | 1.1686 | 0.2924 | 1.1686 | 1.0810 |
| No log | 1.0864 | 88 | 1.2631 | 0.3194 | 1.2631 | 1.1239 |
| No log | 1.1111 | 90 | 1.4262 | 0.2890 | 1.4262 | 1.1942 |
| No log | 1.1358 | 92 | 1.4679 | 0.2661 | 1.4679 | 1.2116 |
| No log | 1.1605 | 94 | 1.2613 | 0.2631 | 1.2613 | 1.1231 |
| No log | 1.1852 | 96 | 1.1543 | 0.2631 | 1.1543 | 1.0744 |
| No log | 1.2099 | 98 | 1.1289 | 0.2750 | 1.1289 | 1.0625 |
| No log | 1.2346 | 100 | 1.2585 | 0.2924 | 1.2585 | 1.1218 |
| No log | 1.2593 | 102 | 1.4270 | 0.3024 | 1.4270 | 1.1946 |
| No log | 1.2840 | 104 | 1.3661 | 0.3378 | 1.3661 | 1.1688 |
| No log | 1.3086 | 106 | 1.1614 | 0.3897 | 1.1614 | 1.0777 |
| No log | 1.3333 | 108 | 1.0165 | 0.4010 | 1.0165 | 1.0082 |
| No log | 1.3580 | 110 | 1.0077 | 0.4010 | 1.0077 | 1.0038 |
| No log | 1.3827 | 112 | 0.9857 | 0.4554 | 0.9857 | 0.9928 |
| No log | 1.4074 | 114 | 0.9500 | 0.4439 | 0.9500 | 0.9747 |
| No log | 1.4321 | 116 | 1.0066 | 0.4334 | 1.0066 | 1.0033 |
| No log | 1.4568 | 118 | 0.9810 | 0.3809 | 0.9810 | 0.9905 |
| No log | 1.4815 | 120 | 0.9173 | 0.4082 | 0.9173 | 0.9578 |
| No log | 1.5062 | 122 | 0.8928 | 0.4434 | 0.8928 | 0.9449 |
| No log | 1.5309 | 124 | 0.9403 | 0.3979 | 0.9403 | 0.9697 |
| No log | 1.5556 | 126 | 1.0431 | 0.3945 | 1.0431 | 1.0213 |
| No log | 1.5802 | 128 | 0.9893 | 0.4799 | 0.9893 | 0.9946 |
| No log | 1.6049 | 130 | 1.0243 | 0.4326 | 1.0243 | 1.0121 |
| No log | 1.6296 | 132 | 1.0326 | 0.4551 | 1.0326 | 1.0162 |
| No log | 1.6543 | 134 | 1.2821 | 0.2994 | 1.2821 | 1.1323 |
| No log | 1.6790 | 136 | 1.3057 | 0.2682 | 1.3057 | 1.1427 |
| No log | 1.7037 | 138 | 1.0604 | 0.4318 | 1.0604 | 1.0297 |
| No log | 1.7284 | 140 | 0.9354 | 0.4202 | 0.9354 | 0.9671 |
| No log | 1.7531 | 142 | 0.8736 | 0.4455 | 0.8736 | 0.9347 |
| No log | 1.7778 | 144 | 0.9219 | 0.3717 | 0.9219 | 0.9602 |
| No log | 1.8025 | 146 | 1.1198 | 0.3881 | 1.1198 | 1.0582 |
| No log | 1.8272 | 148 | 1.3264 | 0.2857 | 1.3264 | 1.1517 |
| No log | 1.8519 | 150 | 1.2759 | 0.2624 | 1.2759 | 1.1296 |
| No log | 1.8765 | 152 | 1.1571 | 0.3897 | 1.1571 | 1.0757 |
| No log | 1.9012 | 154 | 0.8432 | 0.4696 | 0.8432 | 0.9183 |
| No log | 1.9259 | 156 | 0.7708 | 0.4378 | 0.7708 | 0.8780 |
| No log | 1.9506 | 158 | 0.8016 | 0.5192 | 0.8016 | 0.8953 |
| No log | 1.9753 | 160 | 1.0054 | 0.4311 | 1.0054 | 1.0027 |
| No log | 2.0 | 162 | 1.3780 | 0.3024 | 1.3780 | 1.1739 |
| No log | 2.0247 | 164 | 1.5452 | 0.2451 | 1.5452 | 1.2430 |
| No log | 2.0494 | 166 | 1.3474 | 0.2624 | 1.3474 | 1.1608 |
| No log | 2.0741 | 168 | 1.0809 | 0.2636 | 1.0809 | 1.0397 |
| No log | 2.0988 | 170 | 0.9369 | 0.2441 | 0.9369 | 0.9679 |
| No log | 2.1235 | 172 | 0.9402 | 0.2623 | 0.9402 | 0.9696 |
| No log | 2.1481 | 174 | 1.0693 | 0.3641 | 1.0693 | 1.0341 |
| No log | 2.1728 | 176 | 1.1502 | 0.3706 | 1.1502 | 1.0725 |
| No log | 2.1975 | 178 | 1.1656 | 0.4036 | 1.1656 | 1.0796 |
| No log | 2.2222 | 180 | 1.1108 | 0.4133 | 1.1108 | 1.0539 |
| No log | 2.2469 | 182 | 0.9682 | 0.4783 | 0.9682 | 0.9839 |
| No log | 2.2716 | 184 | 0.8687 | 0.4785 | 0.8687 | 0.9320 |
| No log | 2.2963 | 186 | 0.8303 | 0.4917 | 0.8303 | 0.9112 |
| No log | 2.3210 | 188 | 0.9115 | 0.4444 | 0.9115 | 0.9547 |
| No log | 2.3457 | 190 | 1.1323 | 0.3981 | 1.1323 | 1.0641 |
| No log | 2.3704 | 192 | 1.3856 | 0.3354 | 1.3856 | 1.1771 |
| No log | 2.3951 | 194 | 1.2968 | 0.3650 | 1.2968 | 1.1388 |
| No log | 2.4198 | 196 | 1.0230 | 0.3953 | 1.0230 | 1.0114 |
| No log | 2.4444 | 198 | 0.9345 | 0.3103 | 0.9345 | 0.9667 |
| No log | 2.4691 | 200 | 0.8716 | 0.2569 | 0.8716 | 0.9336 |
| No log | 2.4938 | 202 | 0.8211 | 0.2541 | 0.8211 | 0.9061 |
| No log | 2.5185 | 204 | 0.8172 | 0.2572 | 0.8172 | 0.9040 |
| No log | 2.5432 | 206 | 0.9201 | 0.4667 | 0.9201 | 0.9592 |
| No log | 2.5679 | 208 | 1.1183 | 0.3650 | 1.1183 | 1.0575 |
| No log | 2.5926 | 210 | 1.2144 | 0.3165 | 1.2144 | 1.1020 |
| No log | 2.6173 | 212 | 1.0646 | 0.4420 | 1.0646 | 1.0318 |
| No log | 2.6420 | 214 | 0.8879 | 0.3987 | 0.8879 | 0.9423 |
| No log | 2.6667 | 216 | 0.8691 | 0.3863 | 0.8691 | 0.9323 |
| No log | 2.6914 | 218 | 0.8863 | 0.3099 | 0.8863 | 0.9414 |
| No log | 2.7160 | 220 | 0.8902 | 0.3099 | 0.8902 | 0.9435 |
| No log | 2.7407 | 222 | 0.8929 | 0.4119 | 0.8929 | 0.9449 |
| No log | 2.7654 | 224 | 0.9246 | 0.4468 | 0.9246 | 0.9615 |
| No log | 2.7901 | 226 | 0.8729 | 0.5543 | 0.8729 | 0.9343 |
| No log | 2.8148 | 228 | 0.7777 | 0.4975 | 0.7777 | 0.8819 |
| No log | 2.8395 | 230 | 0.7329 | 0.4828 | 0.7329 | 0.8561 |
| No log | 2.8642 | 232 | 0.7117 | 0.5016 | 0.7117 | 0.8436 |
| No log | 2.8889 | 234 | 0.7119 | 0.4995 | 0.7119 | 0.8437 |
| No log | 2.9136 | 236 | 0.6926 | 0.5261 | 0.6926 | 0.8322 |
| No log | 2.9383 | 238 | 0.6888 | 0.4922 | 0.6888 | 0.8299 |
| No log | 2.9630 | 240 | 0.6894 | 0.5036 | 0.6894 | 0.8303 |
| No log | 2.9877 | 242 | 0.7042 | 0.4978 | 0.7042 | 0.8392 |
| No log | 3.0123 | 244 | 0.7295 | 0.4984 | 0.7295 | 0.8541 |
| No log | 3.0370 | 246 | 0.7498 | 0.5233 | 0.7498 | 0.8659 |
| No log | 3.0617 | 248 | 0.6707 | 0.6196 | 0.6707 | 0.8190 |
| No log | 3.0864 | 250 | 0.8075 | 0.5253 | 0.8075 | 0.8986 |
| No log | 3.1111 | 252 | 0.9915 | 0.4435 | 0.9915 | 0.9958 |
| No log | 3.1358 | 254 | 1.0472 | 0.4191 | 1.0472 | 1.0233 |
| No log | 3.1605 | 256 | 1.0444 | 0.4191 | 1.0444 | 1.0220 |
| No log | 3.1852 | 258 | 0.9522 | 0.4061 | 0.9522 | 0.9758 |
| No log | 3.2099 | 260 | 0.9185 | 0.4163 | 0.9185 | 0.9584 |
| No log | 3.2346 | 262 | 0.9611 | 0.4286 | 0.9611 | 0.9803 |
| No log | 3.2593 | 264 | 0.9807 | 0.4286 | 0.9807 | 0.9903 |
| No log | 3.2840 | 266 | 0.9549 | 0.4277 | 0.9549 | 0.9772 |
| No log | 3.3086 | 268 | 0.8912 | 0.3201 | 0.8912 | 0.9440 |
| No log | 3.3333 | 270 | 0.7847 | 0.3921 | 0.7847 | 0.8858 |
| No log | 3.3580 | 272 | 0.6975 | 0.5003 | 0.6975 | 0.8351 |
| No log | 3.3827 | 274 | 0.6670 | 0.5605 | 0.6670 | 0.8167 |
| No log | 3.4074 | 276 | 0.6884 | 0.5410 | 0.6884 | 0.8297 |
| No log | 3.4321 | 278 | 0.7745 | 0.5343 | 0.7745 | 0.8800 |
| No log | 3.4568 | 280 | 0.7786 | 0.5131 | 0.7786 | 0.8824 |
| No log | 3.4815 | 282 | 0.7750 | 0.5131 | 0.7750 | 0.8804 |
| No log | 3.5062 | 284 | 0.7967 | 0.4710 | 0.7967 | 0.8926 |
| No log | 3.5309 | 286 | 0.7245 | 0.5552 | 0.7245 | 0.8512 |
| No log | 3.5556 | 288 | 0.6772 | 0.5928 | 0.6772 | 0.8229 |
| No log | 3.5802 | 290 | 0.6583 | 0.5602 | 0.6583 | 0.8113 |
| No log | 3.6049 | 292 | 0.6711 | 0.6102 | 0.6711 | 0.8192 |
| No log | 3.6296 | 294 | 0.7409 | 0.5383 | 0.7409 | 0.8608 |
| No log | 3.6543 | 296 | 0.7936 | 0.5140 | 0.7936 | 0.8909 |
| No log | 3.6790 | 298 | 0.8124 | 0.5618 | 0.8124 | 0.9013 |
| No log | 3.7037 | 300 | 0.7539 | 0.4473 | 0.7539 | 0.8683 |
| No log | 3.7284 | 302 | 0.6982 | 0.4643 | 0.6982 | 0.8356 |
| No log | 3.7531 | 304 | 0.6946 | 0.5809 | 0.6946 | 0.8334 |
| No log | 3.7778 | 306 | 0.6740 | 0.6067 | 0.6740 | 0.8210 |
| No log | 3.8025 | 308 | 0.6443 | 0.5131 | 0.6443 | 0.8027 |
| No log | 3.8272 | 310 | 0.7335 | 0.5642 | 0.7335 | 0.8564 |
| No log | 3.8519 | 312 | 0.8099 | 0.5167 | 0.8099 | 0.9000 |
| No log | 3.8765 | 314 | 0.8259 | 0.4681 | 0.8259 | 0.9088 |
| No log | 3.9012 | 316 | 0.7833 | 0.3682 | 0.7833 | 0.8851 |
| No log | 3.9259 | 318 | 0.7745 | 0.3393 | 0.7745 | 0.8801 |
| No log | 3.9506 | 320 | 0.8099 | 0.3107 | 0.8099 | 0.9000 |
| No log | 3.9753 | 322 | 0.8757 | 0.4423 | 0.8757 | 0.9358 |
| No log | 4.0 | 324 | 0.9263 | 0.4650 | 0.9263 | 0.9625 |
| No log | 4.0247 | 326 | 0.8599 | 0.4917 | 0.8599 | 0.9273 |
| No log | 4.0494 | 328 | 0.7622 | 0.4843 | 0.7622 | 0.8730 |
| No log | 4.0741 | 330 | 0.6829 | 0.4729 | 0.6829 | 0.8264 |
| No log | 4.0988 | 332 | 0.6379 | 0.4729 | 0.6379 | 0.7987 |
| No log | 4.1235 | 334 | 0.6175 | 0.4878 | 0.6175 | 0.7858 |
| No log | 4.1481 | 336 | 0.6206 | 0.4745 | 0.6206 | 0.7878 |
| No log | 4.1728 | 338 | 0.6117 | 0.5373 | 0.6117 | 0.7821 |
| No log | 4.1975 | 340 | 0.6091 | 0.5590 | 0.6091 | 0.7805 |
| No log | 4.2222 | 342 | 0.6138 | 0.5712 | 0.6138 | 0.7834 |
| No log | 4.2469 | 344 | 0.6221 | 0.5859 | 0.6221 | 0.7887 |
| No log | 4.2716 | 346 | 0.6498 | 0.5287 | 0.6498 | 0.8061 |
| No log | 4.2963 | 348 | 0.6695 | 0.5326 | 0.6695 | 0.8182 |
| No log | 4.3210 | 350 | 0.6343 | 0.5399 | 0.6343 | 0.7964 |
| No log | 4.3457 | 352 | 0.6249 | 0.6196 | 0.6249 | 0.7905 |
| No log | 4.3704 | 354 | 0.6331 | 0.5871 | 0.6331 | 0.7957 |
| No log | 4.3951 | 356 | 0.6435 | 0.5983 | 0.6435 | 0.8022 |
| No log | 4.4198 | 358 | 0.7044 | 0.5751 | 0.7044 | 0.8393 |
| No log | 4.4444 | 360 | 0.8227 | 0.4593 | 0.8227 | 0.9071 |
| No log | 4.4691 | 362 | 0.8805 | 0.5124 | 0.8805 | 0.9384 |
| No log | 4.4938 | 364 | 0.8517 | 0.4681 | 0.8517 | 0.9229 |
| No log | 4.5185 | 366 | 0.8247 | 0.4568 | 0.8247 | 0.9081 |
| No log | 4.5432 | 368 | 0.7784 | 0.4343 | 0.7784 | 0.8823 |
| No log | 4.5679 | 370 | 0.7751 | 0.4343 | 0.7751 | 0.8804 |
| No log | 4.5926 | 372 | 0.7820 | 0.4588 | 0.7820 | 0.8843 |
| No log | 4.6173 | 374 | 0.8010 | 0.4474 | 0.8010 | 0.8950 |
| No log | 4.6420 | 376 | 0.7552 | 0.5425 | 0.7552 | 0.8690 |
| No log | 4.6667 | 378 | 0.7747 | 0.5498 | 0.7747 | 0.8802 |
| No log | 4.6914 | 380 | 0.8572 | 0.4902 | 0.8572 | 0.9259 |
| No log | 4.7160 | 382 | 1.0176 | 0.4484 | 1.0176 | 1.0087 |
| No log | 4.7407 | 384 | 1.0496 | 0.4484 | 1.0496 | 1.0245 |
| No log | 4.7654 | 386 | 0.8929 | 0.4681 | 0.8929 | 0.9449 |
| No log | 4.7901 | 388 | 0.7438 | 0.4612 | 0.7438 | 0.8624 |
| No log | 4.8148 | 390 | 0.7203 | 0.4507 | 0.7203 | 0.8487 |
| No log | 4.8395 | 392 | 0.7152 | 0.4778 | 0.7152 | 0.8457 |
| No log | 4.8642 | 394 | 0.7362 | 0.4483 | 0.7362 | 0.8580 |
| No log | 4.8889 | 396 | 0.7844 | 0.4592 | 0.7844 | 0.8856 |
| No log | 4.9136 | 398 | 0.8406 | 0.4794 | 0.8406 | 0.9168 |
| No log | 4.9383 | 400 | 0.8989 | 0.4792 | 0.8989 | 0.9481 |
| No log | 4.9630 | 402 | 0.8478 | 0.4579 | 0.8478 | 0.9207 |
| No log | 4.9877 | 404 | 0.7942 | 0.4366 | 0.7942 | 0.8912 |
| No log | 5.0123 | 406 | 0.7281 | 0.5142 | 0.7281 | 0.8533 |
| No log | 5.0370 | 408 | 0.7158 | 0.5902 | 0.7158 | 0.8460 |
| No log | 5.0617 | 410 | 0.7062 | 0.5503 | 0.7062 | 0.8404 |
| No log | 5.0864 | 412 | 0.7686 | 0.5232 | 0.7686 | 0.8767 |
| No log | 5.1111 | 414 | 0.9402 | 0.4790 | 0.9402 | 0.9697 |
| No log | 5.1358 | 416 | 0.9938 | 0.4885 | 0.9938 | 0.9969 |
| No log | 5.1605 | 418 | 0.8905 | 0.4792 | 0.8905 | 0.9437 |
| No log | 5.1852 | 420 | 0.7559 | 0.4836 | 0.7559 | 0.8694 |
| No log | 5.2099 | 422 | 0.7073 | 0.5142 | 0.7073 | 0.8410 |
| No log | 5.2346 | 424 | 0.7106 | 0.5898 | 0.7106 | 0.8430 |
| No log | 5.2593 | 426 | 0.7096 | 0.5677 | 0.7096 | 0.8424 |
| No log | 5.2840 | 428 | 0.7145 | 0.4882 | 0.7145 | 0.8453 |
| No log | 5.3086 | 430 | 0.7841 | 0.3687 | 0.7841 | 0.8855 |
| No log | 5.3333 | 432 | 0.8639 | 0.3668 | 0.8639 | 0.9294 |
| No log | 5.3580 | 434 | 0.8938 | 0.3531 | 0.8938 | 0.9454 |
| No log | 5.3827 | 436 | 0.8888 | 0.3124 | 0.8888 | 0.9428 |
| No log | 5.4074 | 438 | 0.9003 | 0.3124 | 0.9003 | 0.9488 |
| No log | 5.4321 | 440 | 0.9232 | 0.2723 | 0.9232 | 0.9608 |
| No log | 5.4568 | 442 | 0.9285 | 0.3921 | 0.9285 | 0.9636 |
| No log | 5.4815 | 444 | 0.9307 | 0.3897 | 0.9307 | 0.9648 |
| No log | 5.5062 | 446 | 0.9061 | 0.4016 | 0.9061 | 0.9519 |
| No log | 5.5309 | 448 | 0.8365 | 0.4004 | 0.8365 | 0.9146 |
| No log | 5.5556 | 450 | 0.7869 | 0.4343 | 0.7869 | 0.8871 |
| No log | 5.5802 | 452 | 0.7684 | 0.4599 | 0.7684 | 0.8766 |
| No log | 5.6049 | 454 | 0.7880 | 0.4711 | 0.7880 | 0.8877 |
| No log | 5.6296 | 456 | 0.8115 | 0.4364 | 0.8115 | 0.9008 |
| No log | 5.6543 | 458 | 0.7732 | 0.4966 | 0.7732 | 0.8793 |
| No log | 5.6790 | 460 | 0.7189 | 0.4862 | 0.7189 | 0.8479 |
| No log | 5.7037 | 462 | 0.7006 | 0.4995 | 0.7006 | 0.8370 |
| No log | 5.7284 | 464 | 0.6943 | 0.4914 | 0.6943 | 0.8332 |
| No log | 5.7531 | 466 | 0.7005 | 0.5315 | 0.7005 | 0.8370 |
| No log | 5.7778 | 468 | 0.7001 | 0.5315 | 0.7001 | 0.8367 |
| No log | 5.8025 | 470 | 0.7012 | 0.5315 | 0.7012 | 0.8374 |
| No log | 5.8272 | 472 | 0.7036 | 0.5763 | 0.7036 | 0.8388 |
| No log | 5.8519 | 474 | 0.7834 | 0.5032 | 0.7834 | 0.8851 |
| No log | 5.8765 | 476 | 0.8282 | 0.4807 | 0.8282 | 0.9101 |
| No log | 5.9012 | 478 | 0.8048 | 0.4592 | 0.8048 | 0.8971 |
| No log | 5.9259 | 480 | 0.8023 | 0.4815 | 0.8023 | 0.8957 |
| No log | 5.9506 | 482 | 0.7905 | 0.3570 | 0.7905 | 0.8891 |
| No log | 5.9753 | 484 | 0.8046 | 0.3842 | 0.8046 | 0.8970 |
| No log | 6.0 | 486 | 0.8355 | 0.4586 | 0.8355 | 0.9141 |
| No log | 6.0247 | 488 | 0.8120 | 0.3842 | 0.8120 | 0.9011 |
| No log | 6.0494 | 490 | 0.8034 | 0.3992 | 0.8034 | 0.8963 |
| No log | 6.0741 | 492 | 0.8256 | 0.4350 | 0.8256 | 0.9087 |
| No log | 6.0988 | 494 | 0.8816 | 0.4334 | 0.8816 | 0.9389 |
| No log | 6.1235 | 496 | 0.8872 | 0.4334 | 0.8872 | 0.9419 |
| No log | 6.1481 | 498 | 0.8625 | 0.4334 | 0.8625 | 0.9287 |
| 0.3129 | 6.1728 | 500 | 0.8525 | 0.4334 | 0.8525 | 0.9233 |
| 0.3129 | 6.1975 | 502 | 0.8329 | 0.4460 | 0.8329 | 0.9126 |
| 0.3129 | 6.2222 | 504 | 0.8287 | 0.4586 | 0.8287 | 0.9103 |
| 0.3129 | 6.2469 | 506 | 0.8401 | 0.4586 | 0.8401 | 0.9166 |
| 0.3129 | 6.2716 | 508 | 0.8460 | 0.4586 | 0.8460 | 0.9198 |
| 0.3129 | 6.2963 | 510 | 0.8516 | 0.3844 | 0.8516 | 0.9228 |
| 0.3129 | 6.3210 | 512 | 0.8399 | 0.3551 | 0.8399 | 0.9165 |
| 0.3129 | 6.3457 | 514 | 0.8021 | 0.3250 | 0.8021 | 0.8956 |
| 0.3129 | 6.3704 | 516 | 0.7839 | 0.3536 | 0.7839 | 0.8854 |
| 0.3129 | 6.3951 | 518 | 0.7920 | 0.3974 | 0.7920 | 0.8899 |
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_run2_AugV5_k16_task5_organization
Base model
aubmindlab/bert-base-arabertv02