ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k20_task7_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: 0.6785
- Qwk: 0.2883
- Mse: 0.6785
- Rmse: 0.8237
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 | 0.0185 | 2 | 2.6272 | -0.0729 | 2.6272 | 1.6209 |
No log | 0.0370 | 4 | 1.2463 | 0.0983 | 1.2463 | 1.1164 |
No log | 0.0556 | 6 | 0.7915 | 0.0441 | 0.7915 | 0.8897 |
No log | 0.0741 | 8 | 0.7705 | 0.1368 | 0.7705 | 0.8778 |
No log | 0.0926 | 10 | 0.6891 | 0.2955 | 0.6891 | 0.8301 |
No log | 0.1111 | 12 | 0.6805 | 0.3141 | 0.6805 | 0.8249 |
No log | 0.1296 | 14 | 0.7554 | 0.2223 | 0.7554 | 0.8691 |
No log | 0.1481 | 16 | 0.8799 | 0.2259 | 0.8799 | 0.9380 |
No log | 0.1667 | 18 | 0.7391 | 0.3590 | 0.7391 | 0.8597 |
No log | 0.1852 | 20 | 0.6912 | 0.3348 | 0.6912 | 0.8314 |
No log | 0.2037 | 22 | 0.8114 | 0.2772 | 0.8114 | 0.9008 |
No log | 0.2222 | 24 | 0.7259 | 0.2813 | 0.7259 | 0.8520 |
No log | 0.2407 | 26 | 0.6871 | 0.3050 | 0.6871 | 0.8289 |
No log | 0.2593 | 28 | 1.3581 | 0.2590 | 1.3581 | 1.1654 |
No log | 0.2778 | 30 | 1.7250 | 0.1895 | 1.7250 | 1.3134 |
No log | 0.2963 | 32 | 1.2685 | 0.1895 | 1.2685 | 1.1263 |
No log | 0.3148 | 34 | 0.7739 | 0.3606 | 0.7739 | 0.8797 |
No log | 0.3333 | 36 | 0.6666 | 0.1983 | 0.6666 | 0.8165 |
No log | 0.3519 | 38 | 0.6695 | 0.2046 | 0.6695 | 0.8182 |
No log | 0.3704 | 40 | 0.7431 | 0.3564 | 0.7431 | 0.8620 |
No log | 0.3889 | 42 | 0.9422 | 0.3579 | 0.9422 | 0.9707 |
No log | 0.4074 | 44 | 1.0279 | 0.3516 | 1.0279 | 1.0138 |
No log | 0.4259 | 46 | 0.9828 | 0.3516 | 0.9828 | 0.9914 |
No log | 0.4444 | 48 | 0.8631 | 0.3777 | 0.8631 | 0.9290 |
No log | 0.4630 | 50 | 0.7154 | 0.3746 | 0.7154 | 0.8458 |
No log | 0.4815 | 52 | 0.6521 | 0.4219 | 0.6521 | 0.8075 |
No log | 0.5 | 54 | 0.6224 | 0.3092 | 0.6224 | 0.7889 |
No log | 0.5185 | 56 | 0.6890 | 0.3819 | 0.6890 | 0.8301 |
No log | 0.5370 | 58 | 1.0277 | 0.3166 | 1.0277 | 1.0138 |
No log | 0.5556 | 60 | 1.2795 | 0.2772 | 1.2795 | 1.1312 |
No log | 0.5741 | 62 | 1.2126 | 0.2909 | 1.2126 | 1.1012 |
No log | 0.5926 | 64 | 0.8438 | 0.4255 | 0.8438 | 0.9186 |
No log | 0.6111 | 66 | 0.5983 | 0.4463 | 0.5983 | 0.7735 |
No log | 0.6296 | 68 | 0.6445 | 0.4674 | 0.6445 | 0.8028 |
No log | 0.6481 | 70 | 0.6404 | 0.4737 | 0.6404 | 0.8003 |
No log | 0.6667 | 72 | 0.6235 | 0.4419 | 0.6235 | 0.7897 |
No log | 0.6852 | 74 | 0.9033 | 0.4096 | 0.9033 | 0.9504 |
No log | 0.7037 | 76 | 1.0313 | 0.2910 | 1.0313 | 1.0155 |
No log | 0.7222 | 78 | 0.8396 | 0.4568 | 0.8396 | 0.9163 |
No log | 0.7407 | 80 | 0.6278 | 0.3945 | 0.6278 | 0.7923 |
No log | 0.7593 | 82 | 0.6544 | 0.4345 | 0.6544 | 0.8090 |
No log | 0.7778 | 84 | 0.6348 | 0.4322 | 0.6348 | 0.7968 |
No log | 0.7963 | 86 | 0.6784 | 0.2995 | 0.6784 | 0.8236 |
No log | 0.8148 | 88 | 0.9486 | 0.4092 | 0.9486 | 0.9740 |
No log | 0.8333 | 90 | 1.1878 | 0.2206 | 1.1878 | 1.0899 |
No log | 0.8519 | 92 | 1.1619 | 0.2191 | 1.1619 | 1.0779 |
No log | 0.8704 | 94 | 0.9051 | 0.4347 | 0.9051 | 0.9514 |
No log | 0.8889 | 96 | 0.7585 | 0.3494 | 0.7585 | 0.8709 |
No log | 0.9074 | 98 | 0.6845 | 0.3196 | 0.6845 | 0.8273 |
No log | 0.9259 | 100 | 0.7034 | 0.2467 | 0.7034 | 0.8387 |
No log | 0.9444 | 102 | 0.7146 | 0.3302 | 0.7146 | 0.8453 |
No log | 0.9630 | 104 | 0.8031 | 0.3918 | 0.8031 | 0.8962 |
No log | 0.9815 | 106 | 0.9954 | 0.3849 | 0.9954 | 0.9977 |
No log | 1.0 | 108 | 1.0793 | 0.3269 | 1.0793 | 1.0389 |
No log | 1.0185 | 110 | 1.0460 | 0.3697 | 1.0460 | 1.0227 |
No log | 1.0370 | 112 | 0.8320 | 0.3560 | 0.8320 | 0.9121 |
No log | 1.0556 | 114 | 0.7203 | 0.3069 | 0.7203 | 0.8487 |
No log | 1.0741 | 116 | 0.6927 | 0.3060 | 0.6927 | 0.8323 |
No log | 1.0926 | 118 | 0.7416 | 0.2518 | 0.7416 | 0.8612 |
No log | 1.1111 | 120 | 0.8737 | 0.3892 | 0.8737 | 0.9347 |
No log | 1.1296 | 122 | 1.1036 | 0.3088 | 1.1036 | 1.0505 |
No log | 1.1481 | 124 | 1.0979 | 0.3404 | 1.0979 | 1.0478 |
No log | 1.1667 | 126 | 0.9128 | 0.3709 | 0.9128 | 0.9554 |
No log | 1.1852 | 128 | 0.8296 | 0.2843 | 0.8296 | 0.9108 |
No log | 1.2037 | 130 | 0.7985 | 0.2904 | 0.7985 | 0.8936 |
No log | 1.2222 | 132 | 0.8440 | 0.4080 | 0.8440 | 0.9187 |
No log | 1.2407 | 134 | 0.9444 | 0.3676 | 0.9444 | 0.9718 |
No log | 1.2593 | 136 | 1.0034 | 0.3337 | 1.0034 | 1.0017 |
No log | 1.2778 | 138 | 0.8877 | 0.4092 | 0.8877 | 0.9422 |
No log | 1.2963 | 140 | 0.7385 | 0.3637 | 0.7385 | 0.8593 |
No log | 1.3148 | 142 | 0.6943 | 0.2498 | 0.6943 | 0.8333 |
No log | 1.3333 | 144 | 0.6994 | 0.2471 | 0.6994 | 0.8363 |
No log | 1.3519 | 146 | 0.7091 | 0.2784 | 0.7091 | 0.8421 |
No log | 1.3704 | 148 | 0.7587 | 0.3234 | 0.7587 | 0.8710 |
No log | 1.3889 | 150 | 0.8943 | 0.3538 | 0.8943 | 0.9457 |
No log | 1.4074 | 152 | 0.9652 | 0.3029 | 0.9652 | 0.9824 |
No log | 1.4259 | 154 | 0.8352 | 0.4404 | 0.8352 | 0.9139 |
No log | 1.4444 | 156 | 0.6769 | 0.2558 | 0.6769 | 0.8228 |
No log | 1.4630 | 158 | 0.6655 | 0.3141 | 0.6655 | 0.8158 |
No log | 1.4815 | 160 | 0.6565 | 0.3426 | 0.6565 | 0.8102 |
No log | 1.5 | 162 | 0.7265 | 0.3817 | 0.7265 | 0.8523 |
No log | 1.5185 | 164 | 0.8765 | 0.3499 | 0.8765 | 0.9362 |
No log | 1.5370 | 166 | 1.0127 | 0.2898 | 1.0127 | 1.0064 |
No log | 1.5556 | 168 | 0.9417 | 0.3052 | 0.9417 | 0.9704 |
No log | 1.5741 | 170 | 0.7469 | 0.3562 | 0.7469 | 0.8642 |
No log | 1.5926 | 172 | 0.6349 | 0.3763 | 0.6349 | 0.7968 |
No log | 1.6111 | 174 | 0.6206 | 0.2877 | 0.6206 | 0.7878 |
No log | 1.6296 | 176 | 0.6285 | 0.3399 | 0.6285 | 0.7928 |
No log | 1.6481 | 178 | 0.6664 | 0.3099 | 0.6664 | 0.8163 |
No log | 1.6667 | 180 | 0.7391 | 0.3746 | 0.7391 | 0.8597 |
No log | 1.6852 | 182 | 0.7609 | 0.3746 | 0.7609 | 0.8723 |
No log | 1.7037 | 184 | 0.7273 | 0.3372 | 0.7273 | 0.8528 |
No log | 1.7222 | 186 | 0.6796 | 0.2227 | 0.6796 | 0.8244 |
No log | 1.7407 | 188 | 0.7217 | 0.2383 | 0.7217 | 0.8495 |
No log | 1.7593 | 190 | 0.8368 | 0.3456 | 0.8368 | 0.9148 |
No log | 1.7778 | 192 | 0.8586 | 0.3688 | 0.8586 | 0.9266 |
No log | 1.7963 | 194 | 0.7750 | 0.2871 | 0.7750 | 0.8803 |
No log | 1.8148 | 196 | 0.7648 | 0.2871 | 0.7648 | 0.8746 |
No log | 1.8333 | 198 | 0.7913 | 0.3095 | 0.7913 | 0.8896 |
No log | 1.8519 | 200 | 0.7951 | 0.2926 | 0.7951 | 0.8917 |
No log | 1.8704 | 202 | 0.8246 | 0.2471 | 0.8246 | 0.9081 |
No log | 1.8889 | 204 | 0.8560 | 0.2364 | 0.8560 | 0.9252 |
No log | 1.9074 | 206 | 0.9938 | 0.3052 | 0.9938 | 0.9969 |
No log | 1.9259 | 208 | 1.1704 | 0.2643 | 1.1704 | 1.0818 |
No log | 1.9444 | 210 | 1.1412 | 0.2501 | 1.1412 | 1.0683 |
No log | 1.9630 | 212 | 0.9513 | 0.3601 | 0.9513 | 0.9754 |
No log | 1.9815 | 214 | 0.8096 | 0.2904 | 0.8096 | 0.8998 |
No log | 2.0 | 216 | 0.8180 | 0.2904 | 0.8180 | 0.9044 |
No log | 2.0185 | 218 | 0.9502 | 0.3439 | 0.9502 | 0.9748 |
No log | 2.0370 | 220 | 0.9671 | 0.3381 | 0.9671 | 0.9834 |
No log | 2.0556 | 222 | 0.9231 | 0.3439 | 0.9231 | 0.9608 |
No log | 2.0741 | 224 | 0.8631 | 0.3499 | 0.8631 | 0.9290 |
No log | 2.0926 | 226 | 0.7739 | 0.4239 | 0.7739 | 0.8797 |
No log | 2.1111 | 228 | 0.7480 | 0.2749 | 0.7480 | 0.8648 |
No log | 2.1296 | 230 | 0.7852 | 0.4114 | 0.7852 | 0.8861 |
No log | 2.1481 | 232 | 0.8783 | 0.3560 | 0.8783 | 0.9372 |
No log | 2.1667 | 234 | 0.8716 | 0.3678 | 0.8716 | 0.9336 |
No log | 2.1852 | 236 | 0.8379 | 0.4366 | 0.8379 | 0.9154 |
No log | 2.2037 | 238 | 0.7586 | 0.3700 | 0.7586 | 0.8710 |
No log | 2.2222 | 240 | 0.7216 | 0.3340 | 0.7216 | 0.8495 |
No log | 2.2407 | 242 | 0.7426 | 0.3569 | 0.7426 | 0.8617 |
No log | 2.2593 | 244 | 0.8270 | 0.4153 | 0.8270 | 0.9094 |
No log | 2.2778 | 246 | 0.9176 | 0.3381 | 0.9176 | 0.9579 |
No log | 2.2963 | 248 | 0.8500 | 0.3799 | 0.8500 | 0.9219 |
No log | 2.3148 | 250 | 0.6978 | 0.3544 | 0.6978 | 0.8354 |
No log | 2.3333 | 252 | 0.6435 | 0.3144 | 0.6435 | 0.8022 |
No log | 2.3519 | 254 | 0.6297 | 0.3625 | 0.6297 | 0.7935 |
No log | 2.3704 | 256 | 0.6371 | 0.3840 | 0.6371 | 0.7982 |
No log | 2.3889 | 258 | 0.6757 | 0.3942 | 0.6757 | 0.8220 |
No log | 2.4074 | 260 | 0.6659 | 0.3942 | 0.6659 | 0.8160 |
No log | 2.4259 | 262 | 0.6379 | 0.3976 | 0.6379 | 0.7987 |
No log | 2.4444 | 264 | 0.6425 | 0.3197 | 0.6425 | 0.8016 |
No log | 2.4630 | 266 | 0.6550 | 0.2537 | 0.6550 | 0.8093 |
No log | 2.4815 | 268 | 0.6578 | 0.2787 | 0.6578 | 0.8110 |
No log | 2.5 | 270 | 0.7050 | 0.3195 | 0.7050 | 0.8396 |
No log | 2.5185 | 272 | 0.7764 | 0.4272 | 0.7764 | 0.8811 |
No log | 2.5370 | 274 | 0.7354 | 0.4745 | 0.7354 | 0.8576 |
No log | 2.5556 | 276 | 0.6619 | 0.3656 | 0.6619 | 0.8136 |
No log | 2.5741 | 278 | 0.6357 | 0.4207 | 0.6357 | 0.7973 |
No log | 2.5926 | 280 | 0.6774 | 0.4404 | 0.6774 | 0.8231 |
No log | 2.6111 | 282 | 0.7805 | 0.4721 | 0.7805 | 0.8835 |
No log | 2.6296 | 284 | 0.8090 | 0.4705 | 0.8090 | 0.8995 |
No log | 2.6481 | 286 | 0.6898 | 0.4144 | 0.6898 | 0.8305 |
No log | 2.6667 | 288 | 0.5588 | 0.4243 | 0.5588 | 0.7475 |
No log | 2.6852 | 290 | 0.5194 | 0.4147 | 0.5194 | 0.7207 |
No log | 2.7037 | 292 | 0.5186 | 0.4722 | 0.5186 | 0.7201 |
No log | 2.7222 | 294 | 0.5234 | 0.4722 | 0.5234 | 0.7235 |
No log | 2.7407 | 296 | 0.5440 | 0.4819 | 0.5440 | 0.7376 |
No log | 2.7593 | 298 | 0.5435 | 0.4642 | 0.5435 | 0.7373 |
No log | 2.7778 | 300 | 0.5318 | 0.3702 | 0.5318 | 0.7293 |
No log | 2.7963 | 302 | 0.5482 | 0.4384 | 0.5482 | 0.7404 |
No log | 2.8148 | 304 | 0.5548 | 0.3947 | 0.5548 | 0.7448 |
No log | 2.8333 | 306 | 0.5691 | 0.3494 | 0.5691 | 0.7544 |
No log | 2.8519 | 308 | 0.6289 | 0.4035 | 0.6289 | 0.7931 |
No log | 2.8704 | 310 | 0.6465 | 0.4035 | 0.6465 | 0.8041 |
No log | 2.8889 | 312 | 0.6420 | 0.3755 | 0.6420 | 0.8013 |
No log | 2.9074 | 314 | 0.6189 | 0.3092 | 0.6189 | 0.7867 |
No log | 2.9259 | 316 | 0.6213 | 0.3092 | 0.6213 | 0.7883 |
No log | 2.9444 | 318 | 0.6413 | 0.3092 | 0.6413 | 0.8008 |
No log | 2.9630 | 320 | 0.6483 | 0.3092 | 0.6483 | 0.8052 |
No log | 2.9815 | 322 | 0.6706 | 0.3387 | 0.6706 | 0.8189 |
No log | 3.0 | 324 | 0.7129 | 0.2883 | 0.7129 | 0.8444 |
No log | 3.0185 | 326 | 0.7934 | 0.4224 | 0.7934 | 0.8907 |
No log | 3.0370 | 328 | 0.8775 | 0.3473 | 0.8775 | 0.9368 |
No log | 3.0556 | 330 | 0.8439 | 0.4624 | 0.8439 | 0.9187 |
No log | 3.0741 | 332 | 0.7766 | 0.3099 | 0.7766 | 0.8813 |
No log | 3.0926 | 334 | 0.6686 | 0.2981 | 0.6686 | 0.8177 |
No log | 3.1111 | 336 | 0.6458 | 0.3123 | 0.6458 | 0.8036 |
No log | 3.1296 | 338 | 0.6396 | 0.3166 | 0.6396 | 0.7998 |
No log | 3.1481 | 340 | 0.6458 | 0.3092 | 0.6458 | 0.8036 |
No log | 3.1667 | 342 | 0.6672 | 0.3312 | 0.6672 | 0.8168 |
No log | 3.1852 | 344 | 0.7297 | 0.3099 | 0.7297 | 0.8542 |
No log | 3.2037 | 346 | 0.7574 | 0.4197 | 0.7574 | 0.8703 |
No log | 3.2222 | 348 | 0.6859 | 0.3261 | 0.6859 | 0.8282 |
No log | 3.2407 | 350 | 0.6214 | 0.3312 | 0.6214 | 0.7883 |
No log | 3.2593 | 352 | 0.5847 | 0.3166 | 0.5847 | 0.7646 |
No log | 3.2778 | 354 | 0.5664 | 0.3354 | 0.5664 | 0.7526 |
No log | 3.2963 | 356 | 0.5628 | 0.3354 | 0.5628 | 0.7502 |
No log | 3.3148 | 358 | 0.5628 | 0.3354 | 0.5628 | 0.7502 |
No log | 3.3333 | 360 | 0.5712 | 0.3006 | 0.5712 | 0.7558 |
No log | 3.3519 | 362 | 0.5911 | 0.3323 | 0.5911 | 0.7689 |
No log | 3.3704 | 364 | 0.5943 | 0.3243 | 0.5943 | 0.7709 |
No log | 3.3889 | 366 | 0.5777 | 0.3039 | 0.5777 | 0.7600 |
No log | 3.4074 | 368 | 0.5638 | 0.3354 | 0.5638 | 0.7509 |
No log | 3.4259 | 370 | 0.5524 | 0.3889 | 0.5524 | 0.7432 |
No log | 3.4444 | 372 | 0.5468 | 0.3369 | 0.5468 | 0.7395 |
No log | 3.4630 | 374 | 0.5588 | 0.4845 | 0.5588 | 0.7476 |
No log | 3.4815 | 376 | 0.5484 | 0.4060 | 0.5484 | 0.7406 |
No log | 3.5 | 378 | 0.5375 | 0.3274 | 0.5375 | 0.7332 |
No log | 3.5185 | 380 | 0.5438 | 0.2987 | 0.5438 | 0.7375 |
No log | 3.5370 | 382 | 0.5484 | 0.3273 | 0.5484 | 0.7405 |
No log | 3.5556 | 384 | 0.5405 | 0.2987 | 0.5405 | 0.7352 |
No log | 3.5741 | 386 | 0.5429 | 0.2996 | 0.5429 | 0.7368 |
No log | 3.5926 | 388 | 0.5399 | 0.2641 | 0.5399 | 0.7348 |
No log | 3.6111 | 390 | 0.5373 | 0.2641 | 0.5373 | 0.7330 |
No log | 3.6296 | 392 | 0.5325 | 0.2996 | 0.5325 | 0.7297 |
No log | 3.6481 | 394 | 0.5277 | 0.3953 | 0.5277 | 0.7264 |
No log | 3.6667 | 396 | 0.5433 | 0.3416 | 0.5433 | 0.7371 |
No log | 3.6852 | 398 | 0.5704 | 0.3341 | 0.5704 | 0.7553 |
No log | 3.7037 | 400 | 0.5767 | 0.3341 | 0.5767 | 0.7594 |
No log | 3.7222 | 402 | 0.5726 | 0.3341 | 0.5726 | 0.7567 |
No log | 3.7407 | 404 | 0.5866 | 0.3341 | 0.5866 | 0.7659 |
No log | 3.7593 | 406 | 0.5951 | 0.3312 | 0.5951 | 0.7714 |
No log | 3.7778 | 408 | 0.6172 | 0.3312 | 0.6172 | 0.7856 |
No log | 3.7963 | 410 | 0.6595 | 0.3843 | 0.6595 | 0.8121 |
No log | 3.8148 | 412 | 0.6781 | 0.3843 | 0.6781 | 0.8235 |
No log | 3.8333 | 414 | 0.6525 | 0.4190 | 0.6525 | 0.8078 |
No log | 3.8519 | 416 | 0.6357 | 0.4020 | 0.6357 | 0.7973 |
No log | 3.8704 | 418 | 0.6030 | 0.3622 | 0.6030 | 0.7765 |
No log | 3.8889 | 420 | 0.5870 | 0.3341 | 0.5870 | 0.7662 |
No log | 3.9074 | 422 | 0.5679 | 0.3675 | 0.5679 | 0.7536 |
No log | 3.9259 | 424 | 0.5573 | 0.3995 | 0.5573 | 0.7465 |
No log | 3.9444 | 426 | 0.5627 | 0.4194 | 0.5627 | 0.7501 |
No log | 3.9630 | 428 | 0.5972 | 0.4292 | 0.5972 | 0.7728 |
No log | 3.9815 | 430 | 0.6792 | 0.4815 | 0.6792 | 0.8241 |
No log | 4.0 | 432 | 0.7062 | 0.4644 | 0.7062 | 0.8404 |
No log | 4.0185 | 434 | 0.6888 | 0.4644 | 0.6888 | 0.8299 |
No log | 4.0370 | 436 | 0.6759 | 0.4409 | 0.6759 | 0.8221 |
No log | 4.0556 | 438 | 0.6074 | 0.4044 | 0.6074 | 0.7793 |
No log | 4.0741 | 440 | 0.5911 | 0.4027 | 0.5911 | 0.7689 |
No log | 4.0926 | 442 | 0.5959 | 0.3782 | 0.5959 | 0.7719 |
No log | 4.1111 | 444 | 0.5990 | 0.3494 | 0.5990 | 0.7740 |
No log | 4.1296 | 446 | 0.6249 | 0.3465 | 0.6249 | 0.7905 |
No log | 4.1481 | 448 | 0.6833 | 0.3789 | 0.6833 | 0.8266 |
No log | 4.1667 | 450 | 0.6998 | 0.3789 | 0.6998 | 0.8365 |
No log | 4.1852 | 452 | 0.6573 | 0.3465 | 0.6573 | 0.8108 |
No log | 4.2037 | 454 | 0.6596 | 0.3465 | 0.6596 | 0.8122 |
No log | 4.2222 | 456 | 0.6712 | 0.3387 | 0.6712 | 0.8193 |
No log | 4.2407 | 458 | 0.6840 | 0.4052 | 0.6840 | 0.8270 |
No log | 4.2593 | 460 | 0.6763 | 0.3444 | 0.6763 | 0.8224 |
No log | 4.2778 | 462 | 0.6450 | 0.3387 | 0.6450 | 0.8031 |
No log | 4.2963 | 464 | 0.6399 | 0.3387 | 0.6399 | 0.8000 |
No log | 4.3148 | 466 | 0.6431 | 0.3387 | 0.6431 | 0.8019 |
No log | 4.3333 | 468 | 0.6471 | 0.3167 | 0.6471 | 0.8044 |
No log | 4.3519 | 470 | 0.6554 | 0.3789 | 0.6554 | 0.8096 |
No log | 4.3704 | 472 | 0.6469 | 0.3471 | 0.6469 | 0.8043 |
No log | 4.3889 | 474 | 0.6061 | 0.3976 | 0.6061 | 0.7785 |
No log | 4.4074 | 476 | 0.5654 | 0.3754 | 0.5654 | 0.7519 |
No log | 4.4259 | 478 | 0.5624 | 0.3258 | 0.5624 | 0.7499 |
No log | 4.4444 | 480 | 0.5691 | 0.2923 | 0.5691 | 0.7544 |
No log | 4.4630 | 482 | 0.5774 | 0.2963 | 0.5774 | 0.7599 |
No log | 4.4815 | 484 | 0.5919 | 0.3575 | 0.5919 | 0.7693 |
No log | 4.5 | 486 | 0.6617 | 0.3673 | 0.6617 | 0.8134 |
No log | 4.5185 | 488 | 0.7257 | 0.3444 | 0.7257 | 0.8519 |
No log | 4.5370 | 490 | 0.7068 | 0.3444 | 0.7068 | 0.8407 |
No log | 4.5556 | 492 | 0.6779 | 0.3167 | 0.6779 | 0.8233 |
No log | 4.5741 | 494 | 0.6681 | 0.3594 | 0.6681 | 0.8174 |
No log | 4.5926 | 496 | 0.6884 | 0.3444 | 0.6884 | 0.8297 |
No log | 4.6111 | 498 | 0.7111 | 0.3444 | 0.7111 | 0.8432 |
0.2421 | 4.6296 | 500 | 0.7278 | 0.3444 | 0.7278 | 0.8531 |
0.2421 | 4.6481 | 502 | 0.6692 | 0.3312 | 0.6692 | 0.8181 |
0.2421 | 4.6667 | 504 | 0.6313 | 0.3166 | 0.6313 | 0.7946 |
0.2421 | 4.6852 | 506 | 0.6121 | 0.3445 | 0.6121 | 0.7824 |
0.2421 | 4.7037 | 508 | 0.6076 | 0.3445 | 0.6076 | 0.7795 |
0.2421 | 4.7222 | 510 | 0.6405 | 0.3572 | 0.6405 | 0.8003 |
0.2421 | 4.7407 | 512 | 0.7083 | 0.4052 | 0.7083 | 0.8416 |
0.2421 | 4.7593 | 514 | 0.7393 | 0.4554 | 0.7393 | 0.8598 |
0.2421 | 4.7778 | 516 | 0.7042 | 0.4642 | 0.7042 | 0.8392 |
0.2421 | 4.7963 | 518 | 0.6464 | 0.3594 | 0.6464 | 0.8040 |
0.2421 | 4.8148 | 520 | 0.6130 | 0.3649 | 0.6130 | 0.7830 |
0.2421 | 4.8333 | 522 | 0.6089 | 0.3599 | 0.6089 | 0.7803 |
0.2421 | 4.8519 | 524 | 0.6280 | 0.3183 | 0.6280 | 0.7924 |
0.2421 | 4.8704 | 526 | 0.6584 | 0.3425 | 0.6584 | 0.8114 |
0.2421 | 4.8889 | 528 | 0.6523 | 0.3155 | 0.6523 | 0.8077 |
0.2421 | 4.9074 | 530 | 0.6549 | 0.2950 | 0.6549 | 0.8092 |
0.2421 | 4.9259 | 532 | 0.6785 | 0.2883 | 0.6785 | 0.8237 |
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_task7_organization
Base model
aubmindlab/bert-base-arabertv02