ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k7_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: 0.5784
- Qwk: 0.5874
- Mse: 0.5784
- Rmse: 0.7606
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 | 0.0541 | 2 | 4.0022 | -0.0092 | 4.0022 | 2.0006 |
| No log | 0.1081 | 4 | 2.2289 | 0.0790 | 2.2289 | 1.4929 |
| No log | 0.1622 | 6 | 1.4834 | -0.0078 | 1.4834 | 1.2180 |
| No log | 0.2162 | 8 | 1.0969 | 0.2341 | 1.0969 | 1.0473 |
| No log | 0.2703 | 10 | 1.1663 | 0.1284 | 1.1663 | 1.0800 |
| No log | 0.3243 | 12 | 1.2020 | 0.1379 | 1.2020 | 1.0964 |
| No log | 0.3784 | 14 | 1.2609 | 0.0427 | 1.2609 | 1.1229 |
| No log | 0.4324 | 16 | 1.1813 | 0.1101 | 1.1813 | 1.0869 |
| No log | 0.4865 | 18 | 1.1649 | 0.1389 | 1.1649 | 1.0793 |
| No log | 0.5405 | 20 | 1.1239 | 0.1276 | 1.1239 | 1.0602 |
| No log | 0.5946 | 22 | 1.5251 | 0.1138 | 1.5251 | 1.2350 |
| No log | 0.6486 | 24 | 1.3851 | 0.1362 | 1.3851 | 1.1769 |
| No log | 0.7027 | 26 | 0.9634 | 0.3011 | 0.9634 | 0.9815 |
| No log | 0.7568 | 28 | 1.0564 | 0.3210 | 1.0564 | 1.0278 |
| No log | 0.8108 | 30 | 0.9284 | 0.4344 | 0.9284 | 0.9635 |
| No log | 0.8649 | 32 | 1.1053 | 0.2547 | 1.1053 | 1.0514 |
| No log | 0.9189 | 34 | 1.5393 | 0.1825 | 1.5393 | 1.2407 |
| No log | 0.9730 | 36 | 1.3579 | 0.2089 | 1.3579 | 1.1653 |
| No log | 1.0270 | 38 | 0.9269 | 0.3753 | 0.9269 | 0.9628 |
| No log | 1.0811 | 40 | 0.8411 | 0.4943 | 0.8411 | 0.9171 |
| No log | 1.1351 | 42 | 1.0202 | 0.3782 | 1.0202 | 1.0100 |
| No log | 1.1892 | 44 | 0.8738 | 0.5176 | 0.8738 | 0.9348 |
| No log | 1.2432 | 46 | 0.7992 | 0.3998 | 0.7992 | 0.8940 |
| No log | 1.2973 | 48 | 0.8055 | 0.4951 | 0.8055 | 0.8975 |
| No log | 1.3514 | 50 | 0.7449 | 0.5758 | 0.7449 | 0.8631 |
| No log | 1.4054 | 52 | 0.8226 | 0.5020 | 0.8226 | 0.9070 |
| No log | 1.4595 | 54 | 0.8707 | 0.4894 | 0.8707 | 0.9331 |
| No log | 1.5135 | 56 | 0.7513 | 0.5383 | 0.7513 | 0.8668 |
| No log | 1.5676 | 58 | 0.6702 | 0.5688 | 0.6702 | 0.8186 |
| No log | 1.6216 | 60 | 0.7079 | 0.6053 | 0.7079 | 0.8414 |
| No log | 1.6757 | 62 | 0.9282 | 0.4487 | 0.9282 | 0.9635 |
| No log | 1.7297 | 64 | 0.8926 | 0.4681 | 0.8926 | 0.9448 |
| No log | 1.7838 | 66 | 0.6672 | 0.6762 | 0.6672 | 0.8168 |
| No log | 1.8378 | 68 | 0.6649 | 0.6018 | 0.6649 | 0.8154 |
| No log | 1.8919 | 70 | 0.6631 | 0.6275 | 0.6631 | 0.8143 |
| No log | 1.9459 | 72 | 0.6746 | 0.6297 | 0.6746 | 0.8213 |
| No log | 2.0 | 74 | 0.7076 | 0.5828 | 0.7076 | 0.8412 |
| No log | 2.0541 | 76 | 0.6829 | 0.5934 | 0.6829 | 0.8264 |
| No log | 2.1081 | 78 | 0.6803 | 0.5736 | 0.6803 | 0.8248 |
| No log | 2.1622 | 80 | 0.6455 | 0.5939 | 0.6455 | 0.8034 |
| No log | 2.2162 | 82 | 0.6698 | 0.5992 | 0.6698 | 0.8184 |
| No log | 2.2703 | 84 | 0.6378 | 0.5626 | 0.6378 | 0.7986 |
| No log | 2.3243 | 86 | 0.6551 | 0.5770 | 0.6551 | 0.8094 |
| No log | 2.3784 | 88 | 0.6083 | 0.6815 | 0.6083 | 0.7799 |
| No log | 2.4324 | 90 | 0.7251 | 0.5119 | 0.7251 | 0.8516 |
| No log | 2.4865 | 92 | 0.7235 | 0.5443 | 0.7235 | 0.8506 |
| No log | 2.5405 | 94 | 0.6209 | 0.5972 | 0.6209 | 0.7880 |
| No log | 2.5946 | 96 | 0.6406 | 0.6006 | 0.6406 | 0.8004 |
| No log | 2.6486 | 98 | 0.6377 | 0.5869 | 0.6377 | 0.7985 |
| No log | 2.7027 | 100 | 0.6462 | 0.5948 | 0.6462 | 0.8039 |
| No log | 2.7568 | 102 | 0.6523 | 0.6199 | 0.6523 | 0.8077 |
| No log | 2.8108 | 104 | 0.6237 | 0.5972 | 0.6237 | 0.7898 |
| No log | 2.8649 | 106 | 0.8063 | 0.5396 | 0.8063 | 0.8980 |
| No log | 2.9189 | 108 | 0.8789 | 0.4014 | 0.8789 | 0.9375 |
| No log | 2.9730 | 110 | 0.6702 | 0.6725 | 0.6702 | 0.8187 |
| No log | 3.0270 | 112 | 0.6478 | 0.5891 | 0.6478 | 0.8048 |
| No log | 3.0811 | 114 | 0.6360 | 0.5891 | 0.6360 | 0.7975 |
| No log | 3.1351 | 116 | 0.6412 | 0.6461 | 0.6412 | 0.8008 |
| No log | 3.1892 | 118 | 0.7018 | 0.5770 | 0.7018 | 0.8377 |
| No log | 3.2432 | 120 | 0.6017 | 0.6691 | 0.6017 | 0.7757 |
| No log | 3.2973 | 122 | 0.6296 | 0.6177 | 0.6296 | 0.7935 |
| No log | 3.3514 | 124 | 0.6206 | 0.6063 | 0.6206 | 0.7878 |
| No log | 3.4054 | 126 | 0.5662 | 0.6926 | 0.5662 | 0.7525 |
| No log | 3.4595 | 128 | 0.6019 | 0.6497 | 0.6019 | 0.7758 |
| No log | 3.5135 | 130 | 0.5479 | 0.7025 | 0.5479 | 0.7402 |
| No log | 3.5676 | 132 | 0.5443 | 0.7189 | 0.5443 | 0.7377 |
| No log | 3.6216 | 134 | 0.5967 | 0.6704 | 0.5967 | 0.7725 |
| No log | 3.6757 | 136 | 0.5625 | 0.6662 | 0.5625 | 0.7500 |
| No log | 3.7297 | 138 | 0.5465 | 0.7199 | 0.5465 | 0.7392 |
| No log | 3.7838 | 140 | 0.5866 | 0.6661 | 0.5866 | 0.7659 |
| No log | 3.8378 | 142 | 0.6635 | 0.5739 | 0.6635 | 0.8146 |
| No log | 3.8919 | 144 | 0.5897 | 0.6402 | 0.5897 | 0.7679 |
| No log | 3.9459 | 146 | 0.6143 | 0.5156 | 0.6143 | 0.7838 |
| No log | 4.0 | 148 | 0.6449 | 0.4995 | 0.6449 | 0.8031 |
| No log | 4.0541 | 150 | 0.6102 | 0.6043 | 0.6102 | 0.7812 |
| No log | 4.1081 | 152 | 0.5758 | 0.6286 | 0.5758 | 0.7588 |
| No log | 4.1622 | 154 | 0.5787 | 0.5795 | 0.5787 | 0.7607 |
| No log | 4.2162 | 156 | 0.5991 | 0.6466 | 0.5991 | 0.7740 |
| No log | 4.2703 | 158 | 0.5460 | 0.6566 | 0.5460 | 0.7389 |
| No log | 4.3243 | 160 | 0.5739 | 0.6241 | 0.5739 | 0.7576 |
| No log | 4.3784 | 162 | 0.6989 | 0.5598 | 0.6989 | 0.8360 |
| No log | 4.4324 | 164 | 0.6505 | 0.5559 | 0.6505 | 0.8066 |
| No log | 4.4865 | 166 | 0.5890 | 0.5303 | 0.5890 | 0.7674 |
| No log | 4.5405 | 168 | 0.5920 | 0.5303 | 0.5920 | 0.7694 |
| No log | 4.5946 | 170 | 0.6359 | 0.5482 | 0.6359 | 0.7974 |
| No log | 4.6486 | 172 | 0.8217 | 0.5574 | 0.8217 | 0.9065 |
| No log | 4.7027 | 174 | 0.8455 | 0.5556 | 0.8455 | 0.9195 |
| No log | 4.7568 | 176 | 0.6388 | 0.5981 | 0.6388 | 0.7992 |
| No log | 4.8108 | 178 | 0.5541 | 0.6488 | 0.5541 | 0.7444 |
| No log | 4.8649 | 180 | 0.6211 | 0.5828 | 0.6211 | 0.7881 |
| No log | 4.9189 | 182 | 0.5703 | 0.5212 | 0.5703 | 0.7552 |
| No log | 4.9730 | 184 | 0.5796 | 0.5859 | 0.5796 | 0.7613 |
| No log | 5.0270 | 186 | 0.5679 | 0.5859 | 0.5679 | 0.7536 |
| No log | 5.0811 | 188 | 0.5469 | 0.6107 | 0.5469 | 0.7395 |
| No log | 5.1351 | 190 | 0.6123 | 0.6466 | 0.6123 | 0.7825 |
| No log | 5.1892 | 192 | 0.7554 | 0.5966 | 0.7554 | 0.8692 |
| No log | 5.2432 | 194 | 0.7618 | 0.5873 | 0.7618 | 0.8728 |
| No log | 5.2973 | 196 | 0.7752 | 0.6086 | 0.7752 | 0.8805 |
| No log | 5.3514 | 198 | 0.5971 | 0.6327 | 0.5971 | 0.7727 |
| No log | 5.4054 | 200 | 0.5253 | 0.6822 | 0.5253 | 0.7247 |
| No log | 5.4595 | 202 | 0.5625 | 0.6386 | 0.5625 | 0.7500 |
| No log | 5.5135 | 204 | 0.6388 | 0.5781 | 0.6388 | 0.7993 |
| No log | 5.5676 | 206 | 0.6301 | 0.5793 | 0.6301 | 0.7938 |
| No log | 5.6216 | 208 | 0.5761 | 0.5807 | 0.5761 | 0.7590 |
| No log | 5.6757 | 210 | 0.5677 | 0.5862 | 0.5677 | 0.7534 |
| No log | 5.7297 | 212 | 0.5455 | 0.6745 | 0.5455 | 0.7386 |
| No log | 5.7838 | 214 | 0.5480 | 0.6795 | 0.5480 | 0.7402 |
| No log | 5.8378 | 216 | 0.5407 | 0.6419 | 0.5407 | 0.7353 |
| No log | 5.8919 | 218 | 0.5616 | 0.6165 | 0.5616 | 0.7494 |
| No log | 5.9459 | 220 | 0.5792 | 0.5653 | 0.5792 | 0.7610 |
| No log | 6.0 | 222 | 0.6291 | 0.5819 | 0.6291 | 0.7932 |
| No log | 6.0541 | 224 | 0.7493 | 0.6396 | 0.7493 | 0.8656 |
| No log | 6.1081 | 226 | 0.6874 | 0.6161 | 0.6874 | 0.8291 |
| No log | 6.1622 | 228 | 0.5667 | 0.5795 | 0.5667 | 0.7528 |
| No log | 6.2162 | 230 | 0.5757 | 0.6165 | 0.5757 | 0.7587 |
| No log | 6.2703 | 232 | 0.5517 | 0.6575 | 0.5517 | 0.7428 |
| No log | 6.3243 | 234 | 0.5703 | 0.6470 | 0.5703 | 0.7552 |
| No log | 6.3784 | 236 | 0.6111 | 0.6347 | 0.6111 | 0.7817 |
| No log | 6.4324 | 238 | 0.5680 | 0.6470 | 0.5680 | 0.7536 |
| No log | 6.4865 | 240 | 0.5664 | 0.6673 | 0.5664 | 0.7526 |
| No log | 6.5405 | 242 | 0.5903 | 0.6557 | 0.5903 | 0.7683 |
| No log | 6.5946 | 244 | 0.5934 | 0.6511 | 0.5934 | 0.7703 |
| No log | 6.6486 | 246 | 0.5579 | 0.6712 | 0.5579 | 0.7469 |
| No log | 6.7027 | 248 | 0.6101 | 0.6445 | 0.6101 | 0.7811 |
| No log | 6.7568 | 250 | 0.6604 | 0.6173 | 0.6604 | 0.8127 |
| No log | 6.8108 | 252 | 0.5962 | 0.5902 | 0.5962 | 0.7721 |
| No log | 6.8649 | 254 | 0.6026 | 0.6123 | 0.6026 | 0.7763 |
| No log | 6.9189 | 256 | 0.6123 | 0.5932 | 0.6123 | 0.7825 |
| No log | 6.9730 | 258 | 0.6113 | 0.5555 | 0.6113 | 0.7819 |
| No log | 7.0270 | 260 | 0.6863 | 0.6150 | 0.6863 | 0.8284 |
| No log | 7.0811 | 262 | 0.7416 | 0.5683 | 0.7416 | 0.8612 |
| No log | 7.1351 | 264 | 0.6970 | 0.5583 | 0.6970 | 0.8349 |
| No log | 7.1892 | 266 | 0.6092 | 0.6099 | 0.6092 | 0.7805 |
| No log | 7.2432 | 268 | 0.6218 | 0.5522 | 0.6218 | 0.7885 |
| No log | 7.2973 | 270 | 0.6247 | 0.5183 | 0.6247 | 0.7904 |
| No log | 7.3514 | 272 | 0.6239 | 0.5459 | 0.6239 | 0.7899 |
| No log | 7.4054 | 274 | 0.6180 | 0.5759 | 0.6180 | 0.7861 |
| No log | 7.4595 | 276 | 0.5967 | 0.6184 | 0.5967 | 0.7725 |
| No log | 7.5135 | 278 | 0.6065 | 0.6122 | 0.6065 | 0.7788 |
| No log | 7.5676 | 280 | 0.7024 | 0.5491 | 0.7024 | 0.8381 |
| No log | 7.6216 | 282 | 0.6900 | 0.5509 | 0.6900 | 0.8307 |
| No log | 7.6757 | 284 | 0.6081 | 0.5978 | 0.6081 | 0.7798 |
| No log | 7.7297 | 286 | 0.6302 | 0.5678 | 0.6302 | 0.7938 |
| No log | 7.7838 | 288 | 0.7883 | 0.5389 | 0.7883 | 0.8879 |
| No log | 7.8378 | 290 | 0.7913 | 0.5389 | 0.7913 | 0.8895 |
| No log | 7.8919 | 292 | 0.6343 | 0.6082 | 0.6343 | 0.7964 |
| No log | 7.9459 | 294 | 0.5300 | 0.7010 | 0.5300 | 0.7280 |
| No log | 8.0 | 296 | 0.5454 | 0.6814 | 0.5454 | 0.7385 |
| No log | 8.0541 | 298 | 0.5963 | 0.6500 | 0.5963 | 0.7722 |
| No log | 8.1081 | 300 | 0.5875 | 0.6276 | 0.5875 | 0.7665 |
| No log | 8.1622 | 302 | 0.5522 | 0.6400 | 0.5522 | 0.7431 |
| No log | 8.2162 | 304 | 0.5590 | 0.6516 | 0.5590 | 0.7477 |
| No log | 8.2703 | 306 | 0.5745 | 0.6461 | 0.5745 | 0.7580 |
| No log | 8.3243 | 308 | 0.6168 | 0.6599 | 0.6168 | 0.7854 |
| No log | 8.3784 | 310 | 0.7839 | 0.5583 | 0.7839 | 0.8854 |
| No log | 8.4324 | 312 | 0.8137 | 0.5385 | 0.8137 | 0.9020 |
| No log | 8.4865 | 314 | 0.7214 | 0.5579 | 0.7214 | 0.8494 |
| No log | 8.5405 | 316 | 0.6033 | 0.5694 | 0.6033 | 0.7768 |
| No log | 8.5946 | 318 | 0.6125 | 0.5302 | 0.6125 | 0.7826 |
| No log | 8.6486 | 320 | 0.6138 | 0.5302 | 0.6138 | 0.7834 |
| No log | 8.7027 | 322 | 0.6124 | 0.5568 | 0.6124 | 0.7825 |
| No log | 8.7568 | 324 | 0.6204 | 0.6129 | 0.6204 | 0.7877 |
| No log | 8.8108 | 326 | 0.5797 | 0.6725 | 0.5797 | 0.7614 |
| No log | 8.8649 | 328 | 0.5272 | 0.6658 | 0.5272 | 0.7261 |
| No log | 8.9189 | 330 | 0.5799 | 0.6502 | 0.5799 | 0.7615 |
| No log | 8.9730 | 332 | 0.5748 | 0.6748 | 0.5748 | 0.7582 |
| No log | 9.0270 | 334 | 0.5491 | 0.6500 | 0.5491 | 0.7410 |
| No log | 9.0811 | 336 | 0.5606 | 0.5543 | 0.5606 | 0.7487 |
| No log | 9.1351 | 338 | 0.5906 | 0.4925 | 0.5906 | 0.7685 |
| No log | 9.1892 | 340 | 0.5815 | 0.5440 | 0.5815 | 0.7626 |
| No log | 9.2432 | 342 | 0.5593 | 0.5677 | 0.5593 | 0.7478 |
| No log | 9.2973 | 344 | 0.5630 | 0.6387 | 0.5630 | 0.7503 |
| No log | 9.3514 | 346 | 0.5910 | 0.6596 | 0.5910 | 0.7688 |
| No log | 9.4054 | 348 | 0.5739 | 0.6377 | 0.5739 | 0.7576 |
| No log | 9.4595 | 350 | 0.5540 | 0.6128 | 0.5540 | 0.7443 |
| No log | 9.5135 | 352 | 0.5618 | 0.6363 | 0.5618 | 0.7495 |
| No log | 9.5676 | 354 | 0.5569 | 0.6337 | 0.5569 | 0.7463 |
| No log | 9.6216 | 356 | 0.5386 | 0.6517 | 0.5386 | 0.7339 |
| No log | 9.6757 | 358 | 0.5723 | 0.6929 | 0.5723 | 0.7565 |
| No log | 9.7297 | 360 | 0.6041 | 0.6914 | 0.6041 | 0.7772 |
| No log | 9.7838 | 362 | 0.5916 | 0.6623 | 0.5916 | 0.7692 |
| No log | 9.8378 | 364 | 0.5678 | 0.6207 | 0.5678 | 0.7535 |
| No log | 9.8919 | 366 | 0.5793 | 0.5441 | 0.5793 | 0.7611 |
| No log | 9.9459 | 368 | 0.5839 | 0.5441 | 0.5839 | 0.7642 |
| No log | 10.0 | 370 | 0.5984 | 0.5694 | 0.5984 | 0.7735 |
| No log | 10.0541 | 372 | 0.6380 | 0.5819 | 0.6380 | 0.7988 |
| No log | 10.1081 | 374 | 0.6572 | 0.5706 | 0.6572 | 0.8107 |
| No log | 10.1622 | 376 | 0.6555 | 0.5706 | 0.6555 | 0.8096 |
| No log | 10.2162 | 378 | 0.6819 | 0.5355 | 0.6819 | 0.8258 |
| No log | 10.2703 | 380 | 0.7248 | 0.5606 | 0.7248 | 0.8514 |
| No log | 10.3243 | 382 | 0.7082 | 0.5718 | 0.7082 | 0.8415 |
| No log | 10.3784 | 384 | 0.6499 | 0.5905 | 0.6499 | 0.8062 |
| No log | 10.4324 | 386 | 0.6170 | 0.5422 | 0.6170 | 0.7855 |
| No log | 10.4865 | 388 | 0.6172 | 0.5653 | 0.6172 | 0.7856 |
| No log | 10.5405 | 390 | 0.6146 | 0.5905 | 0.6146 | 0.7840 |
| No log | 10.5946 | 392 | 0.6960 | 0.6025 | 0.6960 | 0.8343 |
| No log | 10.6486 | 394 | 0.7230 | 0.5576 | 0.7230 | 0.8503 |
| No log | 10.7027 | 396 | 0.6383 | 0.6109 | 0.6383 | 0.7989 |
| No log | 10.7568 | 398 | 0.6020 | 0.5402 | 0.6020 | 0.7759 |
| No log | 10.8108 | 400 | 0.6762 | 0.5663 | 0.6762 | 0.8223 |
| No log | 10.8649 | 402 | 0.7218 | 0.5953 | 0.7218 | 0.8496 |
| No log | 10.9189 | 404 | 0.6561 | 0.5988 | 0.6561 | 0.8100 |
| No log | 10.9730 | 406 | 0.5602 | 0.6345 | 0.5602 | 0.7485 |
| No log | 11.0270 | 408 | 0.5773 | 0.6479 | 0.5773 | 0.7598 |
| No log | 11.0811 | 410 | 0.6476 | 0.6534 | 0.6476 | 0.8047 |
| No log | 11.1351 | 412 | 0.6821 | 0.5920 | 0.6821 | 0.8259 |
| No log | 11.1892 | 414 | 0.6475 | 0.5697 | 0.6475 | 0.8047 |
| No log | 11.2432 | 416 | 0.5774 | 0.5894 | 0.5774 | 0.7599 |
| No log | 11.2973 | 418 | 0.5773 | 0.6276 | 0.5773 | 0.7598 |
| No log | 11.3514 | 420 | 0.5798 | 0.6500 | 0.5798 | 0.7615 |
| No log | 11.4054 | 422 | 0.5699 | 0.6602 | 0.5699 | 0.7549 |
| No log | 11.4595 | 424 | 0.5615 | 0.6756 | 0.5615 | 0.7494 |
| No log | 11.5135 | 426 | 0.5576 | 0.6756 | 0.5576 | 0.7467 |
| No log | 11.5676 | 428 | 0.5569 | 0.6861 | 0.5569 | 0.7463 |
| No log | 11.6216 | 430 | 0.5622 | 0.6720 | 0.5622 | 0.7498 |
| No log | 11.6757 | 432 | 0.5752 | 0.6537 | 0.5752 | 0.7584 |
| No log | 11.7297 | 434 | 0.6076 | 0.6315 | 0.6076 | 0.7795 |
| No log | 11.7838 | 436 | 0.6418 | 0.5728 | 0.6418 | 0.8011 |
| No log | 11.8378 | 438 | 0.6898 | 0.5479 | 0.6898 | 0.8306 |
| No log | 11.8919 | 440 | 0.6825 | 0.5463 | 0.6825 | 0.8261 |
| No log | 11.9459 | 442 | 0.6236 | 0.6422 | 0.6236 | 0.7897 |
| No log | 12.0 | 444 | 0.5935 | 0.6252 | 0.5935 | 0.7704 |
| No log | 12.0541 | 446 | 0.5916 | 0.6229 | 0.5916 | 0.7692 |
| No log | 12.1081 | 448 | 0.5924 | 0.6154 | 0.5924 | 0.7697 |
| No log | 12.1622 | 450 | 0.5963 | 0.6154 | 0.5963 | 0.7722 |
| No log | 12.2162 | 452 | 0.6023 | 0.6262 | 0.6023 | 0.7761 |
| No log | 12.2703 | 454 | 0.6008 | 0.6262 | 0.6008 | 0.7751 |
| No log | 12.3243 | 456 | 0.5908 | 0.6154 | 0.5908 | 0.7687 |
| No log | 12.3784 | 458 | 0.6198 | 0.6060 | 0.6198 | 0.7873 |
| No log | 12.4324 | 460 | 0.6837 | 0.6130 | 0.6837 | 0.8269 |
| No log | 12.4865 | 462 | 0.6779 | 0.6130 | 0.6779 | 0.8233 |
| No log | 12.5405 | 464 | 0.6110 | 0.5865 | 0.6110 | 0.7817 |
| No log | 12.5946 | 466 | 0.5824 | 0.6057 | 0.5824 | 0.7631 |
| No log | 12.6486 | 468 | 0.5996 | 0.6218 | 0.5996 | 0.7744 |
| No log | 12.7027 | 470 | 0.6323 | 0.6310 | 0.6323 | 0.7952 |
| No log | 12.7568 | 472 | 0.6009 | 0.6670 | 0.6009 | 0.7752 |
| No log | 12.8108 | 474 | 0.5775 | 0.6043 | 0.5775 | 0.7599 |
| No log | 12.8649 | 476 | 0.5473 | 0.6517 | 0.5473 | 0.7398 |
| No log | 12.9189 | 478 | 0.6257 | 0.6072 | 0.6257 | 0.7910 |
| No log | 12.9730 | 480 | 0.7180 | 0.5722 | 0.7180 | 0.8474 |
| No log | 13.0270 | 482 | 0.6944 | 0.5508 | 0.6944 | 0.8333 |
| No log | 13.0811 | 484 | 0.6003 | 0.6269 | 0.6003 | 0.7748 |
| No log | 13.1351 | 486 | 0.5427 | 0.6254 | 0.5427 | 0.7367 |
| No log | 13.1892 | 488 | 0.5480 | 0.6332 | 0.5480 | 0.7403 |
| No log | 13.2432 | 490 | 0.5500 | 0.6254 | 0.5500 | 0.7416 |
| No log | 13.2973 | 492 | 0.5738 | 0.5225 | 0.5738 | 0.7575 |
| No log | 13.3514 | 494 | 0.6113 | 0.5636 | 0.6113 | 0.7819 |
| No log | 13.4054 | 496 | 0.6085 | 0.5627 | 0.6085 | 0.7801 |
| No log | 13.4595 | 498 | 0.5720 | 0.5928 | 0.5720 | 0.7563 |
| 0.2748 | 13.5135 | 500 | 0.5435 | 0.6437 | 0.5435 | 0.7373 |
| 0.2748 | 13.5676 | 502 | 0.5474 | 0.6317 | 0.5474 | 0.7399 |
| 0.2748 | 13.6216 | 504 | 0.5598 | 0.6084 | 0.5598 | 0.7482 |
| 0.2748 | 13.6757 | 506 | 0.5658 | 0.5874 | 0.5658 | 0.7522 |
| 0.2748 | 13.7297 | 508 | 0.5713 | 0.6084 | 0.5713 | 0.7559 |
| 0.2748 | 13.7838 | 510 | 0.5784 | 0.5874 | 0.5784 | 0.7606 |
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_k7_task5_organization
Base model
aubmindlab/bert-base-arabertv02