ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task1_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: 1.1753
- Qwk: 0.6282
- Mse: 1.1753
- Rmse: 1.0841
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 | 0.0222 | 2 | 7.1885 | 0.0174 | 7.1885 | 2.6811 |
| No log | 0.0444 | 4 | 4.9873 | 0.0509 | 4.9873 | 2.2332 |
| No log | 0.0667 | 6 | 3.1660 | 0.0952 | 3.1660 | 1.7793 |
| No log | 0.0889 | 8 | 2.1915 | 0.1399 | 2.1915 | 1.4804 |
| No log | 0.1111 | 10 | 1.9308 | 0.2131 | 1.9308 | 1.3895 |
| No log | 0.1333 | 12 | 1.7346 | 0.2655 | 1.7346 | 1.3170 |
| No log | 0.1556 | 14 | 1.7085 | 0.1538 | 1.7085 | 1.3071 |
| No log | 0.1778 | 16 | 2.2706 | -0.0168 | 2.2706 | 1.5069 |
| No log | 0.2 | 18 | 2.4314 | -0.1280 | 2.4314 | 1.5593 |
| No log | 0.2222 | 20 | 1.6977 | 0.1538 | 1.6977 | 1.3030 |
| No log | 0.2444 | 22 | 1.1009 | 0.512 | 1.1009 | 1.0492 |
| No log | 0.2667 | 24 | 1.1384 | 0.4628 | 1.1384 | 1.0670 |
| No log | 0.2889 | 26 | 1.2714 | 0.5736 | 1.2714 | 1.1276 |
| No log | 0.3111 | 28 | 1.7383 | 0.2581 | 1.7383 | 1.3185 |
| No log | 0.3333 | 30 | 1.8101 | 0.1524 | 1.8101 | 1.3454 |
| No log | 0.3556 | 32 | 1.9821 | 0.1111 | 1.9821 | 1.4079 |
| No log | 0.3778 | 34 | 1.6957 | 0.1887 | 1.6957 | 1.3022 |
| No log | 0.4 | 36 | 1.4148 | 0.1905 | 1.4148 | 1.1894 |
| No log | 0.4222 | 38 | 1.2408 | 0.3966 | 1.2408 | 1.1139 |
| No log | 0.4444 | 40 | 1.2368 | 0.5113 | 1.2368 | 1.1121 |
| No log | 0.4667 | 42 | 1.1948 | 0.4885 | 1.1948 | 1.0931 |
| No log | 0.4889 | 44 | 1.2775 | 0.3276 | 1.2775 | 1.1302 |
| No log | 0.5111 | 46 | 1.3625 | 0.3214 | 1.3625 | 1.1673 |
| No log | 0.5333 | 48 | 1.4436 | 0.3276 | 1.4436 | 1.2015 |
| No log | 0.5556 | 50 | 1.2276 | 0.3793 | 1.2276 | 1.1080 |
| No log | 0.5778 | 52 | 0.9721 | 0.5522 | 0.9721 | 0.9859 |
| No log | 0.6 | 54 | 0.9525 | 0.6286 | 0.9525 | 0.9760 |
| No log | 0.6222 | 56 | 1.0052 | 0.6370 | 1.0052 | 1.0026 |
| No log | 0.6444 | 58 | 1.0963 | 0.6324 | 1.0963 | 1.0470 |
| No log | 0.6667 | 60 | 1.1140 | 0.6074 | 1.1140 | 1.0555 |
| No log | 0.6889 | 62 | 1.0925 | 0.5954 | 1.0925 | 1.0452 |
| No log | 0.7111 | 64 | 1.1594 | 0.5954 | 1.1594 | 1.0768 |
| No log | 0.7333 | 66 | 1.1295 | 0.5954 | 1.1295 | 1.0628 |
| No log | 0.7556 | 68 | 1.0497 | 0.5954 | 1.0497 | 1.0246 |
| No log | 0.7778 | 70 | 0.9703 | 0.5954 | 0.9703 | 0.9850 |
| No log | 0.8 | 72 | 1.0386 | 0.6212 | 1.0386 | 1.0191 |
| No log | 0.8222 | 74 | 0.9705 | 0.6466 | 0.9705 | 0.9851 |
| No log | 0.8444 | 76 | 0.7706 | 0.6618 | 0.7706 | 0.8778 |
| No log | 0.8667 | 78 | 0.7163 | 0.7034 | 0.7163 | 0.8463 |
| No log | 0.8889 | 80 | 0.8042 | 0.7484 | 0.8042 | 0.8968 |
| No log | 0.9111 | 82 | 0.7860 | 0.7673 | 0.7860 | 0.8865 |
| No log | 0.9333 | 84 | 0.7276 | 0.6980 | 0.7276 | 0.8530 |
| No log | 0.9556 | 86 | 0.7955 | 0.6571 | 0.7955 | 0.8919 |
| No log | 0.9778 | 88 | 0.9942 | 0.6 | 0.9942 | 0.9971 |
| No log | 1.0 | 90 | 1.0651 | 0.5850 | 1.0651 | 1.0320 |
| No log | 1.0222 | 92 | 1.1591 | 0.5772 | 1.1591 | 1.0766 |
| No log | 1.0444 | 94 | 1.1523 | 0.5455 | 1.1523 | 1.0735 |
| No log | 1.0667 | 96 | 1.1112 | 0.5594 | 1.1112 | 1.0541 |
| No log | 1.0889 | 98 | 1.1416 | 0.5352 | 1.1416 | 1.0685 |
| No log | 1.1111 | 100 | 1.1933 | 0.5652 | 1.1933 | 1.0924 |
| No log | 1.1333 | 102 | 1.1986 | 0.5612 | 1.1986 | 1.0948 |
| No log | 1.1556 | 104 | 1.1136 | 0.5594 | 1.1136 | 1.0553 |
| No log | 1.1778 | 106 | 1.0964 | 0.6309 | 1.0964 | 1.0471 |
| No log | 1.2 | 108 | 1.1372 | 0.6289 | 1.1372 | 1.0664 |
| No log | 1.2222 | 110 | 0.9754 | 0.6667 | 0.9754 | 0.9876 |
| No log | 1.2444 | 112 | 0.8027 | 0.6621 | 0.8027 | 0.8959 |
| No log | 1.2667 | 114 | 0.7873 | 0.6806 | 0.7873 | 0.8873 |
| No log | 1.2889 | 116 | 0.8239 | 0.6928 | 0.8239 | 0.9077 |
| No log | 1.3111 | 118 | 0.7433 | 0.7027 | 0.7433 | 0.8621 |
| No log | 1.3333 | 120 | 0.7386 | 0.6761 | 0.7386 | 0.8594 |
| No log | 1.3556 | 122 | 0.8064 | 0.6980 | 0.8064 | 0.8980 |
| No log | 1.3778 | 124 | 0.7767 | 0.6897 | 0.7767 | 0.8813 |
| No log | 1.4 | 126 | 0.7097 | 0.6993 | 0.7097 | 0.8424 |
| No log | 1.4222 | 128 | 0.7954 | 0.6928 | 0.7954 | 0.8919 |
| No log | 1.4444 | 130 | 1.2040 | 0.5799 | 1.2040 | 1.0973 |
| No log | 1.4667 | 132 | 1.3111 | 0.5442 | 1.3111 | 1.1450 |
| No log | 1.4889 | 134 | 1.1172 | 0.5634 | 1.1172 | 1.0570 |
| No log | 1.5111 | 136 | 0.9715 | 0.6241 | 0.9715 | 0.9856 |
| No log | 1.5333 | 138 | 0.9017 | 0.6933 | 0.9017 | 0.9496 |
| No log | 1.5556 | 140 | 0.9446 | 0.7229 | 0.9446 | 0.9719 |
| No log | 1.5778 | 142 | 1.0194 | 0.6951 | 1.0194 | 1.0096 |
| No log | 1.6 | 144 | 1.2076 | 0.6272 | 1.2076 | 1.0989 |
| No log | 1.6222 | 146 | 1.0771 | 0.6316 | 1.0771 | 1.0379 |
| No log | 1.6444 | 148 | 0.9838 | 0.6405 | 0.9838 | 0.9919 |
| No log | 1.6667 | 150 | 1.1205 | 0.6497 | 1.1205 | 1.0585 |
| No log | 1.6889 | 152 | 1.0308 | 0.6234 | 1.0308 | 1.0153 |
| No log | 1.7111 | 154 | 0.7688 | 0.7067 | 0.7688 | 0.8768 |
| No log | 1.7333 | 156 | 0.7207 | 0.7484 | 0.7207 | 0.8489 |
| No log | 1.7556 | 158 | 0.7379 | 0.7273 | 0.7379 | 0.8590 |
| No log | 1.7778 | 160 | 0.8968 | 0.6710 | 0.8968 | 0.9470 |
| No log | 1.8 | 162 | 1.0967 | 0.6480 | 1.0967 | 1.0473 |
| No log | 1.8222 | 164 | 1.1965 | 0.6392 | 1.1965 | 1.0939 |
| No log | 1.8444 | 166 | 1.0672 | 0.6667 | 1.0672 | 1.0331 |
| No log | 1.8667 | 168 | 0.7571 | 0.7791 | 0.7571 | 0.8701 |
| No log | 1.8889 | 170 | 0.5857 | 0.8353 | 0.5857 | 0.7653 |
| No log | 1.9111 | 172 | 0.6378 | 0.7927 | 0.6378 | 0.7986 |
| No log | 1.9333 | 174 | 0.6578 | 0.7778 | 0.6578 | 0.8111 |
| No log | 1.9556 | 176 | 0.8378 | 0.6897 | 0.8378 | 0.9153 |
| No log | 1.9778 | 178 | 0.9888 | 0.6423 | 0.9888 | 0.9944 |
| No log | 2.0 | 180 | 1.0929 | 0.5571 | 1.0929 | 1.0454 |
| No log | 2.0222 | 182 | 1.0644 | 0.5931 | 1.0644 | 1.0317 |
| No log | 2.0444 | 184 | 1.1643 | 0.5679 | 1.1643 | 1.0790 |
| No log | 2.0667 | 186 | 1.2190 | 0.5965 | 1.2190 | 1.1041 |
| No log | 2.0889 | 188 | 1.2755 | 0.5839 | 1.2755 | 1.1294 |
| No log | 2.1111 | 190 | 1.2211 | 0.5369 | 1.2211 | 1.1050 |
| No log | 2.1333 | 192 | 1.1549 | 0.5342 | 1.1549 | 1.0747 |
| No log | 2.1556 | 194 | 1.1595 | 0.5823 | 1.1595 | 1.0768 |
| No log | 2.1778 | 196 | 1.0873 | 0.6296 | 1.0873 | 1.0427 |
| No log | 2.2 | 198 | 0.9726 | 0.6887 | 0.9726 | 0.9862 |
| No log | 2.2222 | 200 | 0.8778 | 0.6331 | 0.8778 | 0.9369 |
| No log | 2.2444 | 202 | 0.7580 | 0.6761 | 0.7580 | 0.8706 |
| No log | 2.2667 | 204 | 0.7725 | 0.6897 | 0.7725 | 0.8789 |
| No log | 2.2889 | 206 | 0.9424 | 0.6579 | 0.9424 | 0.9708 |
| No log | 2.3111 | 208 | 1.0334 | 0.6588 | 1.0334 | 1.0166 |
| No log | 2.3333 | 210 | 0.8414 | 0.6746 | 0.8414 | 0.9173 |
| No log | 2.3556 | 212 | 0.6709 | 0.7952 | 0.6709 | 0.8191 |
| No log | 2.3778 | 214 | 0.7090 | 0.7702 | 0.7090 | 0.8420 |
| No log | 2.4 | 216 | 0.8646 | 0.6860 | 0.8646 | 0.9298 |
| No log | 2.4222 | 218 | 1.0876 | 0.6667 | 1.0876 | 1.0429 |
| No log | 2.4444 | 220 | 1.0818 | 0.6545 | 1.0818 | 1.0401 |
| No log | 2.4667 | 222 | 0.9655 | 0.6623 | 0.9655 | 0.9826 |
| No log | 2.4889 | 224 | 0.7332 | 0.7034 | 0.7332 | 0.8563 |
| No log | 2.5111 | 226 | 0.6746 | 0.7222 | 0.6746 | 0.8213 |
| No log | 2.5333 | 228 | 0.6443 | 0.7742 | 0.6443 | 0.8027 |
| No log | 2.5556 | 230 | 0.6468 | 0.8121 | 0.6468 | 0.8043 |
| No log | 2.5778 | 232 | 0.8613 | 0.7487 | 0.8613 | 0.9281 |
| No log | 2.6 | 234 | 1.0704 | 0.6857 | 1.0704 | 1.0346 |
| No log | 2.6222 | 236 | 1.0257 | 0.6536 | 1.0257 | 1.0128 |
| No log | 2.6444 | 238 | 0.8883 | 0.6757 | 0.8883 | 0.9425 |
| No log | 2.6667 | 240 | 0.8514 | 0.6475 | 0.8514 | 0.9227 |
| No log | 2.6889 | 242 | 0.9047 | 0.6522 | 0.9047 | 0.9511 |
| No log | 2.7111 | 244 | 0.9199 | 0.6331 | 0.9199 | 0.9591 |
| No log | 2.7333 | 246 | 0.8678 | 0.6906 | 0.8678 | 0.9315 |
| No log | 2.7556 | 248 | 0.8793 | 0.6667 | 0.8793 | 0.9377 |
| No log | 2.7778 | 250 | 0.8703 | 0.6944 | 0.8703 | 0.9329 |
| No log | 2.8 | 252 | 0.8775 | 0.6944 | 0.8775 | 0.9368 |
| No log | 2.8222 | 254 | 0.9758 | 0.6914 | 0.9758 | 0.9878 |
| No log | 2.8444 | 256 | 1.0241 | 0.675 | 1.0241 | 1.0120 |
| No log | 2.8667 | 258 | 0.9504 | 0.6944 | 0.9504 | 0.9749 |
| No log | 2.8889 | 260 | 0.9378 | 0.6809 | 0.9378 | 0.9684 |
| No log | 2.9111 | 262 | 0.9921 | 0.6389 | 0.9921 | 0.9960 |
| No log | 2.9333 | 264 | 1.0467 | 0.6490 | 1.0467 | 1.0231 |
| No log | 2.9556 | 266 | 0.9050 | 0.6974 | 0.9050 | 0.9513 |
| No log | 2.9778 | 268 | 0.6740 | 0.7448 | 0.6740 | 0.8210 |
| No log | 3.0 | 270 | 0.6064 | 0.7922 | 0.6064 | 0.7787 |
| No log | 3.0222 | 272 | 0.6303 | 0.7792 | 0.6303 | 0.7939 |
| No log | 3.0444 | 274 | 0.8179 | 0.7261 | 0.8179 | 0.9044 |
| No log | 3.0667 | 276 | 1.0426 | 0.6375 | 1.0426 | 1.0211 |
| No log | 3.0889 | 278 | 1.0513 | 0.6375 | 1.0513 | 1.0254 |
| No log | 3.1111 | 280 | 0.8816 | 0.6667 | 0.8816 | 0.9389 |
| No log | 3.1333 | 282 | 0.7480 | 0.6515 | 0.7480 | 0.8649 |
| No log | 3.1556 | 284 | 0.7568 | 0.6767 | 0.7568 | 0.8700 |
| No log | 3.1778 | 286 | 0.8220 | 0.6618 | 0.8220 | 0.9067 |
| No log | 3.2 | 288 | 0.8629 | 0.6892 | 0.8629 | 0.9289 |
| No log | 3.2222 | 290 | 0.8294 | 0.6887 | 0.8294 | 0.9107 |
| No log | 3.2444 | 292 | 0.9536 | 0.6709 | 0.9536 | 0.9765 |
| No log | 3.2667 | 294 | 1.0766 | 0.6552 | 1.0766 | 1.0376 |
| No log | 3.2889 | 296 | 0.9583 | 0.6708 | 0.9583 | 0.9789 |
| No log | 3.3111 | 298 | 0.8380 | 0.6389 | 0.8380 | 0.9154 |
| No log | 3.3333 | 300 | 0.8153 | 0.6475 | 0.8153 | 0.9029 |
| No log | 3.3556 | 302 | 0.8149 | 0.6525 | 0.8149 | 0.9027 |
| No log | 3.3778 | 304 | 0.7848 | 0.7027 | 0.7848 | 0.8859 |
| No log | 3.4 | 306 | 0.8200 | 0.7108 | 0.8200 | 0.9056 |
| No log | 3.4222 | 308 | 0.9080 | 0.675 | 0.9080 | 0.9529 |
| No log | 3.4444 | 310 | 0.9690 | 0.675 | 0.9690 | 0.9844 |
| No log | 3.4667 | 312 | 0.8292 | 0.7097 | 0.8292 | 0.9106 |
| No log | 3.4889 | 314 | 0.7359 | 0.7625 | 0.7359 | 0.8579 |
| No log | 3.5111 | 316 | 0.7065 | 0.7417 | 0.7065 | 0.8405 |
| No log | 3.5333 | 318 | 0.6467 | 0.7320 | 0.6467 | 0.8041 |
| No log | 3.5556 | 320 | 0.6607 | 0.7403 | 0.6607 | 0.8129 |
| No log | 3.5778 | 322 | 0.8185 | 0.7528 | 0.8185 | 0.9047 |
| No log | 3.6 | 324 | 0.9659 | 0.6821 | 0.9659 | 0.9828 |
| No log | 3.6222 | 326 | 0.8542 | 0.6711 | 0.8542 | 0.9243 |
| No log | 3.6444 | 328 | 0.8286 | 0.6812 | 0.8286 | 0.9103 |
| No log | 3.6667 | 330 | 0.8796 | 0.6423 | 0.8796 | 0.9379 |
| No log | 3.6889 | 332 | 0.9739 | 0.5926 | 0.9739 | 0.9869 |
| No log | 3.7111 | 334 | 0.9490 | 0.6901 | 0.9490 | 0.9742 |
| No log | 3.7333 | 336 | 0.9276 | 0.6623 | 0.9276 | 0.9631 |
| No log | 3.7556 | 338 | 0.9002 | 0.7117 | 0.9002 | 0.9488 |
| No log | 3.7778 | 340 | 0.7949 | 0.7160 | 0.7949 | 0.8916 |
| No log | 3.8 | 342 | 0.6567 | 0.7702 | 0.6567 | 0.8104 |
| No log | 3.8222 | 344 | 0.6295 | 0.7643 | 0.6295 | 0.7934 |
| No log | 3.8444 | 346 | 0.6939 | 0.7683 | 0.6939 | 0.8330 |
| No log | 3.8667 | 348 | 0.8822 | 0.7006 | 0.8822 | 0.9393 |
| No log | 3.8889 | 350 | 0.9622 | 0.6927 | 0.9622 | 0.9809 |
| No log | 3.9111 | 352 | 0.8466 | 0.7126 | 0.8466 | 0.9201 |
| No log | 3.9333 | 354 | 0.7740 | 0.7037 | 0.7740 | 0.8798 |
| No log | 3.9556 | 356 | 0.6694 | 0.7582 | 0.6694 | 0.8182 |
| No log | 3.9778 | 358 | 0.6576 | 0.7815 | 0.6576 | 0.8109 |
| No log | 4.0 | 360 | 0.7197 | 0.7368 | 0.7197 | 0.8484 |
| No log | 4.0222 | 362 | 0.7432 | 0.7226 | 0.7432 | 0.8621 |
| No log | 4.0444 | 364 | 0.8510 | 0.7152 | 0.8510 | 0.9225 |
| No log | 4.0667 | 366 | 0.8768 | 0.7152 | 0.8768 | 0.9364 |
| No log | 4.0889 | 368 | 0.8382 | 0.6918 | 0.8382 | 0.9156 |
| No log | 4.1111 | 370 | 0.8647 | 0.6800 | 0.8647 | 0.9299 |
| No log | 4.1333 | 372 | 0.8785 | 0.6803 | 0.8785 | 0.9373 |
| No log | 4.1556 | 374 | 0.9189 | 0.6712 | 0.9189 | 0.9586 |
| No log | 4.1778 | 376 | 0.9578 | 0.6667 | 0.9578 | 0.9787 |
| No log | 4.2 | 378 | 0.9443 | 0.6667 | 0.9443 | 0.9717 |
| No log | 4.2222 | 380 | 0.8436 | 0.6803 | 0.8436 | 0.9185 |
| No log | 4.2444 | 382 | 0.7609 | 0.7059 | 0.7609 | 0.8723 |
| No log | 4.2667 | 384 | 0.7326 | 0.7143 | 0.7326 | 0.8559 |
| No log | 4.2889 | 386 | 0.7612 | 0.7059 | 0.7612 | 0.8725 |
| No log | 4.3111 | 388 | 0.8175 | 0.7059 | 0.8175 | 0.9041 |
| No log | 4.3333 | 390 | 0.8378 | 0.7059 | 0.8378 | 0.9153 |
| No log | 4.3556 | 392 | 0.8200 | 0.6667 | 0.8200 | 0.9055 |
| No log | 4.3778 | 394 | 0.7505 | 0.7383 | 0.7505 | 0.8663 |
| No log | 4.4 | 396 | 0.7333 | 0.7383 | 0.7333 | 0.8563 |
| No log | 4.4222 | 398 | 0.7837 | 0.7020 | 0.7837 | 0.8852 |
| No log | 4.4444 | 400 | 0.8961 | 0.6792 | 0.8961 | 0.9466 |
| No log | 4.4667 | 402 | 0.9326 | 0.6914 | 0.9326 | 0.9657 |
| No log | 4.4889 | 404 | 0.8225 | 0.6525 | 0.8225 | 0.9069 |
| No log | 4.5111 | 406 | 0.7446 | 0.6906 | 0.7446 | 0.8629 |
| No log | 4.5333 | 408 | 0.7540 | 0.6812 | 0.7540 | 0.8683 |
| No log | 4.5556 | 410 | 0.8235 | 0.6812 | 0.8235 | 0.9075 |
| No log | 4.5778 | 412 | 0.8757 | 0.6522 | 0.8757 | 0.9358 |
| No log | 4.6 | 414 | 0.9843 | 0.6711 | 0.9843 | 0.9921 |
| No log | 4.6222 | 416 | 1.0469 | 0.6790 | 1.0469 | 1.0232 |
| No log | 4.6444 | 418 | 1.0051 | 0.6790 | 1.0051 | 1.0025 |
| No log | 4.6667 | 420 | 0.8554 | 0.6846 | 0.8554 | 0.9249 |
| No log | 4.6889 | 422 | 0.8035 | 0.7162 | 0.8035 | 0.8964 |
| No log | 4.7111 | 424 | 0.8560 | 0.6939 | 0.8560 | 0.9252 |
| No log | 4.7333 | 426 | 0.8616 | 0.7516 | 0.8616 | 0.9282 |
| No log | 4.7556 | 428 | 0.8452 | 0.7421 | 0.8452 | 0.9193 |
| No log | 4.7778 | 430 | 0.8030 | 0.7439 | 0.8030 | 0.8961 |
| No log | 4.8 | 432 | 0.6389 | 0.7792 | 0.6389 | 0.7993 |
| No log | 4.8222 | 434 | 0.5837 | 0.7632 | 0.5837 | 0.7640 |
| No log | 4.8444 | 436 | 0.5893 | 0.7742 | 0.5893 | 0.7677 |
| No log | 4.8667 | 438 | 0.6270 | 0.7904 | 0.6270 | 0.7918 |
| No log | 4.8889 | 440 | 0.7931 | 0.7650 | 0.7931 | 0.8905 |
| No log | 4.9111 | 442 | 0.9028 | 0.7232 | 0.9028 | 0.9502 |
| No log | 4.9333 | 444 | 0.9042 | 0.7045 | 0.9042 | 0.9509 |
| No log | 4.9556 | 446 | 0.8513 | 0.7086 | 0.8513 | 0.9227 |
| No log | 4.9778 | 448 | 0.6816 | 0.7347 | 0.6816 | 0.8256 |
| No log | 5.0 | 450 | 0.6279 | 0.75 | 0.6279 | 0.7924 |
| No log | 5.0222 | 452 | 0.6486 | 0.7568 | 0.6486 | 0.8054 |
| No log | 5.0444 | 454 | 0.7621 | 0.7215 | 0.7621 | 0.8730 |
| No log | 5.0667 | 456 | 0.8376 | 0.7093 | 0.8376 | 0.9152 |
| No log | 5.0889 | 458 | 0.7521 | 0.7412 | 0.7521 | 0.8672 |
| No log | 5.1111 | 460 | 0.7093 | 0.7383 | 0.7093 | 0.8422 |
| No log | 5.1333 | 462 | 0.7466 | 0.7383 | 0.7466 | 0.8640 |
| No log | 5.1556 | 464 | 0.8131 | 0.6708 | 0.8131 | 0.9017 |
| No log | 5.1778 | 466 | 0.7626 | 0.7075 | 0.7626 | 0.8733 |
| No log | 5.2 | 468 | 0.7741 | 0.7152 | 0.7741 | 0.8798 |
| No log | 5.2222 | 470 | 0.8861 | 0.7086 | 0.8861 | 0.9413 |
| No log | 5.2444 | 472 | 0.9742 | 0.6556 | 0.9742 | 0.9870 |
| No log | 5.2667 | 474 | 1.0539 | 0.6480 | 1.0539 | 1.0266 |
| No log | 5.2889 | 476 | 0.9439 | 0.6590 | 0.9439 | 0.9715 |
| No log | 5.3111 | 478 | 0.7632 | 0.7075 | 0.7632 | 0.8736 |
| No log | 5.3333 | 480 | 0.6798 | 0.6667 | 0.6798 | 0.8245 |
| No log | 5.3556 | 482 | 0.6756 | 0.6565 | 0.6756 | 0.8219 |
| No log | 5.3778 | 484 | 0.7193 | 0.7162 | 0.7193 | 0.8481 |
| No log | 5.4 | 486 | 0.8515 | 0.6864 | 0.8515 | 0.9228 |
| No log | 5.4222 | 488 | 0.9618 | 0.6932 | 0.9618 | 0.9807 |
| No log | 5.4444 | 490 | 1.0990 | 0.6592 | 1.0990 | 1.0483 |
| No log | 5.4667 | 492 | 1.1127 | 0.6629 | 1.1127 | 1.0549 |
| No log | 5.4889 | 494 | 0.9544 | 0.6792 | 0.9544 | 0.9769 |
| No log | 5.5111 | 496 | 0.8352 | 0.6667 | 0.8352 | 0.9139 |
| No log | 5.5333 | 498 | 0.8239 | 0.6308 | 0.8239 | 0.9077 |
| 0.45 | 5.5556 | 500 | 0.8908 | 0.6569 | 0.8908 | 0.9438 |
| 0.45 | 5.5778 | 502 | 1.0814 | 0.6538 | 1.0814 | 1.0399 |
| 0.45 | 5.6 | 504 | 1.2131 | 0.6310 | 1.2131 | 1.1014 |
| 0.45 | 5.6222 | 506 | 1.1788 | 0.6629 | 1.1788 | 1.0857 |
| 0.45 | 5.6444 | 508 | 1.0703 | 0.6667 | 1.0703 | 1.0346 |
| 0.45 | 5.6667 | 510 | 0.8696 | 0.6573 | 0.8696 | 0.9325 |
| 0.45 | 5.6889 | 512 | 0.7872 | 0.6569 | 0.7872 | 0.8872 |
| 0.45 | 5.7111 | 514 | 0.8097 | 0.6569 | 0.8097 | 0.8998 |
| 0.45 | 5.7333 | 516 | 0.8909 | 0.6569 | 0.8909 | 0.9439 |
| 0.45 | 5.7556 | 518 | 1.0639 | 0.6174 | 1.0639 | 1.0314 |
| 0.45 | 5.7778 | 520 | 1.1753 | 0.6282 | 1.1753 | 1.0841 |
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_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02