ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k15_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: 0.5615
- Qwk: 0.4375
- Mse: 0.5615
- Rmse: 0.7493
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 | 0.0260 | 2 | 2.4921 | -0.1089 | 2.4921 | 1.5786 |
| No log | 0.0519 | 4 | 1.3043 | 0.1941 | 1.3043 | 1.1421 |
| No log | 0.0779 | 6 | 0.9492 | -0.0228 | 0.9492 | 0.9743 |
| No log | 0.1039 | 8 | 0.8763 | 0.0532 | 0.8763 | 0.9361 |
| No log | 0.1299 | 10 | 0.9368 | 0.1454 | 0.9368 | 0.9679 |
| No log | 0.1558 | 12 | 0.7553 | 0.1050 | 0.7553 | 0.8691 |
| No log | 0.1818 | 14 | 0.7803 | 0.3455 | 0.7803 | 0.8833 |
| No log | 0.2078 | 16 | 0.7829 | 0.3031 | 0.7829 | 0.8848 |
| No log | 0.2338 | 18 | 0.7452 | 0.3112 | 0.7452 | 0.8633 |
| No log | 0.2597 | 20 | 0.6839 | 0.2923 | 0.6839 | 0.8270 |
| No log | 0.2857 | 22 | 0.6786 | 0.2923 | 0.6786 | 0.8238 |
| No log | 0.3117 | 24 | 0.7227 | 0.3127 | 0.7227 | 0.8501 |
| No log | 0.3377 | 26 | 0.7494 | 0.3444 | 0.7494 | 0.8657 |
| No log | 0.3636 | 28 | 0.7123 | 0.3737 | 0.7123 | 0.8440 |
| No log | 0.3896 | 30 | 0.6874 | 0.3123 | 0.6874 | 0.8291 |
| No log | 0.4156 | 32 | 0.6637 | 0.1604 | 0.6637 | 0.8147 |
| No log | 0.4416 | 34 | 0.6739 | 0.0893 | 0.6739 | 0.8209 |
| No log | 0.4675 | 36 | 0.7139 | 0.2156 | 0.7139 | 0.8449 |
| No log | 0.4935 | 38 | 0.6763 | 0.1729 | 0.6763 | 0.8224 |
| No log | 0.5195 | 40 | 0.6460 | 0.2041 | 0.6460 | 0.8037 |
| No log | 0.5455 | 42 | 0.6783 | 0.3312 | 0.6783 | 0.8236 |
| No log | 0.5714 | 44 | 0.6322 | 0.3633 | 0.6322 | 0.7951 |
| No log | 0.5974 | 46 | 0.6146 | 0.3661 | 0.6146 | 0.7840 |
| No log | 0.6234 | 48 | 0.5962 | 0.3336 | 0.5962 | 0.7721 |
| No log | 0.6494 | 50 | 0.6424 | 0.3701 | 0.6424 | 0.8015 |
| No log | 0.6753 | 52 | 0.8158 | 0.3110 | 0.8158 | 0.9032 |
| No log | 0.7013 | 54 | 0.8842 | 0.3228 | 0.8842 | 0.9403 |
| No log | 0.7273 | 56 | 0.7169 | 0.3770 | 0.7169 | 0.8467 |
| No log | 0.7532 | 58 | 0.8060 | 0.3960 | 0.8060 | 0.8978 |
| No log | 0.7792 | 60 | 0.7659 | 0.4175 | 0.7659 | 0.8752 |
| No log | 0.8052 | 62 | 0.5478 | 0.3575 | 0.5478 | 0.7401 |
| No log | 0.8312 | 64 | 0.5249 | 0.4631 | 0.5249 | 0.7245 |
| No log | 0.8571 | 66 | 0.5145 | 0.4891 | 0.5145 | 0.7173 |
| No log | 0.8831 | 68 | 0.5560 | 0.4740 | 0.5560 | 0.7457 |
| No log | 0.9091 | 70 | 0.5207 | 0.5527 | 0.5207 | 0.7216 |
| No log | 0.9351 | 72 | 0.6150 | 0.4550 | 0.6150 | 0.7842 |
| No log | 0.9610 | 74 | 0.8037 | 0.3887 | 0.8037 | 0.8965 |
| No log | 0.9870 | 76 | 0.5522 | 0.4212 | 0.5522 | 0.7431 |
| No log | 1.0130 | 78 | 0.4743 | 0.5133 | 0.4743 | 0.6887 |
| No log | 1.0390 | 80 | 0.4780 | 0.5267 | 0.4780 | 0.6914 |
| No log | 1.0649 | 82 | 0.7318 | 0.5124 | 0.7318 | 0.8555 |
| No log | 1.0909 | 84 | 1.2494 | 0.2732 | 1.2494 | 1.1178 |
| No log | 1.1169 | 86 | 1.0045 | 0.3902 | 1.0045 | 1.0022 |
| No log | 1.1429 | 88 | 0.5199 | 0.3990 | 0.5199 | 0.7210 |
| No log | 1.1688 | 90 | 0.5127 | 0.4380 | 0.5127 | 0.7161 |
| No log | 1.1948 | 92 | 0.5985 | 0.3078 | 0.5985 | 0.7737 |
| No log | 1.2208 | 94 | 0.8422 | 0.3060 | 0.8422 | 0.9177 |
| No log | 1.2468 | 96 | 0.6450 | 0.3665 | 0.6450 | 0.8031 |
| No log | 1.2727 | 98 | 0.5501 | 0.4013 | 0.5501 | 0.7417 |
| No log | 1.2987 | 100 | 0.5855 | 0.3841 | 0.5855 | 0.7652 |
| No log | 1.3247 | 102 | 0.6662 | 0.4602 | 0.6662 | 0.8162 |
| No log | 1.3506 | 104 | 0.6280 | 0.4315 | 0.6280 | 0.7925 |
| No log | 1.3766 | 106 | 0.5491 | 0.4617 | 0.5491 | 0.7410 |
| No log | 1.4026 | 108 | 0.5563 | 0.4535 | 0.5563 | 0.7459 |
| No log | 1.4286 | 110 | 0.6980 | 0.4745 | 0.6980 | 0.8355 |
| No log | 1.4545 | 112 | 0.7862 | 0.4947 | 0.7862 | 0.8867 |
| No log | 1.4805 | 114 | 0.6487 | 0.4294 | 0.6487 | 0.8054 |
| No log | 1.5065 | 116 | 0.5657 | 0.4495 | 0.5657 | 0.7521 |
| No log | 1.5325 | 118 | 0.5733 | 0.3839 | 0.5733 | 0.7572 |
| No log | 1.5584 | 120 | 0.6775 | 0.4745 | 0.6775 | 0.8231 |
| No log | 1.5844 | 122 | 0.6929 | 0.4531 | 0.6929 | 0.8324 |
| No log | 1.6104 | 124 | 0.5728 | 0.3792 | 0.5728 | 0.7568 |
| No log | 1.6364 | 126 | 0.5652 | 0.3792 | 0.5652 | 0.7518 |
| No log | 1.6623 | 128 | 0.6583 | 0.4081 | 0.6583 | 0.8114 |
| No log | 1.6883 | 130 | 0.6919 | 0.4522 | 0.6919 | 0.8318 |
| No log | 1.7143 | 132 | 0.6321 | 0.4642 | 0.6321 | 0.7950 |
| No log | 1.7403 | 134 | 0.5602 | 0.3769 | 0.5602 | 0.7485 |
| No log | 1.7662 | 136 | 0.5590 | 0.3769 | 0.5590 | 0.7477 |
| No log | 1.7922 | 138 | 0.6194 | 0.4642 | 0.6194 | 0.7870 |
| No log | 1.8182 | 140 | 0.7543 | 0.5090 | 0.7543 | 0.8685 |
| No log | 1.8442 | 142 | 0.6560 | 0.4371 | 0.6560 | 0.8099 |
| No log | 1.8701 | 144 | 0.5408 | 0.3769 | 0.5408 | 0.7354 |
| No log | 1.8961 | 146 | 0.5390 | 0.5812 | 0.5390 | 0.7342 |
| No log | 1.9221 | 148 | 0.5564 | 0.5991 | 0.5564 | 0.7459 |
| No log | 1.9481 | 150 | 0.6239 | 0.5408 | 0.6239 | 0.7899 |
| No log | 1.9740 | 152 | 0.5767 | 0.5836 | 0.5767 | 0.7594 |
| No log | 2.0 | 154 | 0.5435 | 0.4640 | 0.5435 | 0.7372 |
| No log | 2.0260 | 156 | 0.5468 | 0.5150 | 0.5468 | 0.7395 |
| No log | 2.0519 | 158 | 0.5464 | 0.5405 | 0.5464 | 0.7392 |
| No log | 2.0779 | 160 | 0.5468 | 0.4782 | 0.5468 | 0.7394 |
| No log | 2.1039 | 162 | 0.5436 | 0.5929 | 0.5436 | 0.7373 |
| No log | 2.1299 | 164 | 0.5333 | 0.5286 | 0.5333 | 0.7303 |
| No log | 2.1558 | 166 | 0.5584 | 0.5133 | 0.5584 | 0.7473 |
| No log | 2.1818 | 168 | 0.6849 | 0.4163 | 0.6849 | 0.8276 |
| No log | 2.2078 | 170 | 0.6143 | 0.4496 | 0.6143 | 0.7838 |
| No log | 2.2338 | 172 | 0.6085 | 0.5953 | 0.6085 | 0.7800 |
| No log | 2.2597 | 174 | 0.7517 | 0.4321 | 0.7517 | 0.8670 |
| No log | 2.2857 | 176 | 0.7831 | 0.4321 | 0.7831 | 0.8849 |
| No log | 2.3117 | 178 | 0.5883 | 0.5650 | 0.5883 | 0.7670 |
| No log | 2.3377 | 180 | 0.6728 | 0.4574 | 0.6728 | 0.8202 |
| No log | 2.3636 | 182 | 0.7974 | 0.4735 | 0.7974 | 0.8930 |
| No log | 2.3896 | 184 | 0.6572 | 0.4371 | 0.6572 | 0.8107 |
| No log | 2.4156 | 186 | 0.5986 | 0.5200 | 0.5986 | 0.7737 |
| No log | 2.4416 | 188 | 0.6886 | 0.5474 | 0.6886 | 0.8298 |
| No log | 2.4675 | 190 | 0.6193 | 0.5317 | 0.6193 | 0.7869 |
| No log | 2.4935 | 192 | 0.5722 | 0.3599 | 0.5722 | 0.7564 |
| No log | 2.5195 | 194 | 0.7849 | 0.4153 | 0.7849 | 0.8860 |
| No log | 2.5455 | 196 | 0.8867 | 0.4297 | 0.8867 | 0.9417 |
| No log | 2.5714 | 198 | 0.7511 | 0.3822 | 0.7511 | 0.8666 |
| No log | 2.5974 | 200 | 0.5824 | 0.4124 | 0.5824 | 0.7631 |
| No log | 2.6234 | 202 | 0.5718 | 0.3478 | 0.5718 | 0.7562 |
| No log | 2.6494 | 204 | 0.6254 | 0.4371 | 0.6254 | 0.7908 |
| No log | 2.6753 | 206 | 0.7012 | 0.3157 | 0.7012 | 0.8374 |
| No log | 2.7013 | 208 | 0.8254 | 0.4153 | 0.8254 | 0.9085 |
| No log | 2.7273 | 210 | 0.7795 | 0.3480 | 0.7795 | 0.8829 |
| No log | 2.7532 | 212 | 0.6436 | 0.4451 | 0.6436 | 0.8023 |
| No log | 2.7792 | 214 | 0.5850 | 0.3198 | 0.5850 | 0.7649 |
| No log | 2.8052 | 216 | 0.5882 | 0.3964 | 0.5882 | 0.7669 |
| No log | 2.8312 | 218 | 0.5941 | 0.4059 | 0.5941 | 0.7708 |
| No log | 2.8571 | 220 | 0.6574 | 0.4294 | 0.6574 | 0.8108 |
| No log | 2.8831 | 222 | 0.7238 | 0.4295 | 0.7238 | 0.8507 |
| No log | 2.9091 | 224 | 0.6604 | 0.4315 | 0.6604 | 0.8126 |
| No log | 2.9351 | 226 | 0.6054 | 0.5133 | 0.6054 | 0.7781 |
| No log | 2.9610 | 228 | 0.6133 | 0.5136 | 0.6133 | 0.7832 |
| No log | 2.9870 | 230 | 0.6965 | 0.5077 | 0.6965 | 0.8345 |
| No log | 3.0130 | 232 | 0.6892 | 0.5077 | 0.6892 | 0.8302 |
| No log | 3.0390 | 234 | 0.5862 | 0.5087 | 0.5862 | 0.7656 |
| No log | 3.0649 | 236 | 0.6352 | 0.4389 | 0.6352 | 0.7970 |
| No log | 3.0909 | 238 | 0.7824 | 0.4650 | 0.7824 | 0.8846 |
| No log | 3.1169 | 240 | 0.7231 | 0.4512 | 0.7231 | 0.8504 |
| No log | 3.1429 | 242 | 0.6395 | 0.3985 | 0.6395 | 0.7997 |
| No log | 3.1688 | 244 | 0.6752 | 0.3520 | 0.6752 | 0.8217 |
| No log | 3.1948 | 246 | 0.8034 | 0.4511 | 0.8034 | 0.8963 |
| No log | 3.2208 | 248 | 0.7495 | 0.4580 | 0.7495 | 0.8657 |
| No log | 3.2468 | 250 | 0.5886 | 0.4576 | 0.5886 | 0.7672 |
| No log | 3.2727 | 252 | 0.5370 | 0.5184 | 0.5370 | 0.7328 |
| No log | 3.2987 | 254 | 0.5326 | 0.5533 | 0.5326 | 0.7298 |
| No log | 3.3247 | 256 | 0.5779 | 0.4234 | 0.5779 | 0.7602 |
| No log | 3.3506 | 258 | 0.6159 | 0.3261 | 0.6159 | 0.7848 |
| No log | 3.3766 | 260 | 0.6942 | 0.4251 | 0.6942 | 0.8332 |
| No log | 3.4026 | 262 | 0.6551 | 0.3519 | 0.6551 | 0.8094 |
| No log | 3.4286 | 264 | 0.5399 | 0.5071 | 0.5399 | 0.7348 |
| No log | 3.4545 | 266 | 0.5208 | 0.5039 | 0.5208 | 0.7216 |
| No log | 3.4805 | 268 | 0.5250 | 0.5201 | 0.5250 | 0.7246 |
| No log | 3.5065 | 270 | 0.5657 | 0.5404 | 0.5657 | 0.7521 |
| No log | 3.5325 | 272 | 0.6746 | 0.5211 | 0.6746 | 0.8213 |
| No log | 3.5584 | 274 | 0.7059 | 0.4134 | 0.7059 | 0.8402 |
| No log | 3.5844 | 276 | 0.5906 | 0.5357 | 0.5906 | 0.7685 |
| No log | 3.6104 | 278 | 0.5209 | 0.6092 | 0.5209 | 0.7218 |
| No log | 3.6364 | 280 | 0.5247 | 0.5765 | 0.5247 | 0.7244 |
| No log | 3.6623 | 282 | 0.5099 | 0.5841 | 0.5099 | 0.7141 |
| No log | 3.6883 | 284 | 0.5073 | 0.5413 | 0.5073 | 0.7122 |
| No log | 3.7143 | 286 | 0.5956 | 0.3737 | 0.5956 | 0.7717 |
| No log | 3.7403 | 288 | 0.6382 | 0.3737 | 0.6382 | 0.7989 |
| No log | 3.7662 | 290 | 0.5784 | 0.4375 | 0.5784 | 0.7605 |
| No log | 3.7922 | 292 | 0.4922 | 0.5488 | 0.4922 | 0.7016 |
| No log | 3.8182 | 294 | 0.4848 | 0.5702 | 0.4848 | 0.6963 |
| No log | 3.8442 | 296 | 0.4794 | 0.5751 | 0.4794 | 0.6924 |
| No log | 3.8701 | 298 | 0.5156 | 0.5404 | 0.5156 | 0.7181 |
| No log | 3.8961 | 300 | 0.6094 | 0.4740 | 0.6094 | 0.7806 |
| No log | 3.9221 | 302 | 0.6149 | 0.4212 | 0.6149 | 0.7842 |
| No log | 3.9481 | 304 | 0.5594 | 0.4661 | 0.5594 | 0.7479 |
| No log | 3.9740 | 306 | 0.5151 | 0.5703 | 0.5151 | 0.7177 |
| No log | 4.0 | 308 | 0.4878 | 0.5522 | 0.4878 | 0.6985 |
| No log | 4.0260 | 310 | 0.5552 | 0.5841 | 0.5552 | 0.7451 |
| No log | 4.0519 | 312 | 0.5486 | 0.5841 | 0.5486 | 0.7407 |
| No log | 4.0779 | 314 | 0.5121 | 0.6114 | 0.5121 | 0.7156 |
| No log | 4.1039 | 316 | 0.6354 | 0.5179 | 0.6354 | 0.7971 |
| No log | 4.1299 | 318 | 0.7295 | 0.5105 | 0.7295 | 0.8541 |
| No log | 4.1558 | 320 | 0.6136 | 0.5337 | 0.6136 | 0.7833 |
| No log | 4.1818 | 322 | 0.5221 | 0.5436 | 0.5221 | 0.7226 |
| No log | 4.2078 | 324 | 0.5120 | 0.5075 | 0.5120 | 0.7155 |
| No log | 4.2338 | 326 | 0.5523 | 0.5951 | 0.5523 | 0.7432 |
| No log | 4.2597 | 328 | 0.6273 | 0.4007 | 0.6273 | 0.7920 |
| No log | 4.2857 | 330 | 0.6670 | 0.3475 | 0.6670 | 0.8167 |
| No log | 4.3117 | 332 | 0.6133 | 0.3950 | 0.6133 | 0.7831 |
| No log | 4.3377 | 334 | 0.5373 | 0.3995 | 0.5373 | 0.7330 |
| No log | 4.3636 | 336 | 0.5304 | 0.4869 | 0.5304 | 0.7283 |
| No log | 4.3896 | 338 | 0.5178 | 0.5061 | 0.5178 | 0.7196 |
| No log | 4.4156 | 340 | 0.5849 | 0.4243 | 0.5849 | 0.7648 |
| No log | 4.4416 | 342 | 0.8432 | 0.4297 | 0.8432 | 0.9182 |
| No log | 4.4675 | 344 | 0.9480 | 0.3890 | 0.9480 | 0.9737 |
| No log | 4.4935 | 346 | 0.8637 | 0.4024 | 0.8637 | 0.9294 |
| No log | 4.5195 | 348 | 0.6850 | 0.3940 | 0.6850 | 0.8276 |
| No log | 4.5455 | 350 | 0.5550 | 0.4985 | 0.5550 | 0.7450 |
| No log | 4.5714 | 352 | 0.5486 | 0.5452 | 0.5486 | 0.7407 |
| No log | 4.5974 | 354 | 0.6209 | 0.4890 | 0.6209 | 0.7880 |
| No log | 4.6234 | 356 | 0.6168 | 0.5096 | 0.6168 | 0.7853 |
| No log | 4.6494 | 358 | 0.5917 | 0.6244 | 0.5917 | 0.7692 |
| No log | 4.6753 | 360 | 0.6941 | 0.5027 | 0.6941 | 0.8332 |
| No log | 4.7013 | 362 | 0.7614 | 0.4293 | 0.7614 | 0.8726 |
| No log | 4.7273 | 364 | 0.6700 | 0.4609 | 0.6700 | 0.8185 |
| No log | 4.7532 | 366 | 0.5863 | 0.5133 | 0.5863 | 0.7657 |
| No log | 4.7792 | 368 | 0.5859 | 0.4901 | 0.5859 | 0.7654 |
| No log | 4.8052 | 370 | 0.6789 | 0.3746 | 0.6789 | 0.8240 |
| No log | 4.8312 | 372 | 0.7622 | 0.4102 | 0.7622 | 0.8731 |
| No log | 4.8571 | 374 | 0.7868 | 0.4175 | 0.7868 | 0.8870 |
| No log | 4.8831 | 376 | 0.8106 | 0.3754 | 0.8106 | 0.9003 |
| No log | 4.9091 | 378 | 0.8830 | 0.3782 | 0.8830 | 0.9397 |
| No log | 4.9351 | 380 | 0.8737 | 0.3274 | 0.8737 | 0.9347 |
| No log | 4.9610 | 382 | 0.8212 | 0.3333 | 0.8212 | 0.9062 |
| No log | 4.9870 | 384 | 0.7216 | 0.3590 | 0.7216 | 0.8495 |
| No log | 5.0130 | 386 | 0.6269 | 0.4352 | 0.6269 | 0.7918 |
| No log | 5.0390 | 388 | 0.6397 | 0.4352 | 0.6397 | 0.7998 |
| No log | 5.0649 | 390 | 0.6821 | 0.3867 | 0.6821 | 0.8259 |
| No log | 5.0909 | 392 | 0.6217 | 0.4292 | 0.6217 | 0.7885 |
| No log | 5.1169 | 394 | 0.5919 | 0.4808 | 0.5919 | 0.7694 |
| No log | 5.1429 | 396 | 0.5474 | 0.5357 | 0.5474 | 0.7399 |
| No log | 5.1688 | 398 | 0.5136 | 0.5965 | 0.5136 | 0.7167 |
| No log | 5.1948 | 400 | 0.5320 | 0.5574 | 0.5320 | 0.7294 |
| No log | 5.2208 | 402 | 0.6212 | 0.4625 | 0.6212 | 0.7882 |
| No log | 5.2468 | 404 | 0.6344 | 0.4389 | 0.6344 | 0.7965 |
| No log | 5.2727 | 406 | 0.5146 | 0.5071 | 0.5146 | 0.7174 |
| No log | 5.2987 | 408 | 0.4610 | 0.6279 | 0.4610 | 0.6790 |
| No log | 5.3247 | 410 | 0.4547 | 0.5890 | 0.4547 | 0.6743 |
| No log | 5.3506 | 412 | 0.4826 | 0.4914 | 0.4826 | 0.6947 |
| No log | 5.3766 | 414 | 0.5741 | 0.3763 | 0.5741 | 0.7577 |
| No log | 5.4026 | 416 | 0.6663 | 0.4076 | 0.6663 | 0.8163 |
| No log | 5.4286 | 418 | 0.6194 | 0.3434 | 0.6194 | 0.7870 |
| No log | 5.4545 | 420 | 0.5579 | 0.5057 | 0.5579 | 0.7469 |
| No log | 5.4805 | 422 | 0.5956 | 0.4776 | 0.5956 | 0.7717 |
| No log | 5.5065 | 424 | 0.7075 | 0.4986 | 0.7075 | 0.8411 |
| No log | 5.5325 | 426 | 0.8438 | 0.3563 | 0.8438 | 0.9186 |
| No log | 5.5584 | 428 | 0.8072 | 0.3909 | 0.8072 | 0.8984 |
| No log | 5.5844 | 430 | 0.6734 | 0.4434 | 0.6734 | 0.8206 |
| No log | 5.6104 | 432 | 0.5689 | 0.5874 | 0.5689 | 0.7543 |
| No log | 5.6364 | 434 | 0.5549 | 0.6434 | 0.5549 | 0.7449 |
| No log | 5.6623 | 436 | 0.6171 | 0.4845 | 0.6171 | 0.7856 |
| No log | 5.6883 | 438 | 0.6996 | 0.4522 | 0.6996 | 0.8364 |
| No log | 5.7143 | 440 | 0.6560 | 0.5063 | 0.6560 | 0.8099 |
| No log | 5.7403 | 442 | 0.5673 | 0.5860 | 0.5673 | 0.7532 |
| No log | 5.7662 | 444 | 0.5279 | 0.6377 | 0.5279 | 0.7266 |
| No log | 5.7922 | 446 | 0.5239 | 0.5926 | 0.5239 | 0.7238 |
| No log | 5.8182 | 448 | 0.5354 | 0.5926 | 0.5354 | 0.7317 |
| No log | 5.8442 | 450 | 0.5333 | 0.5235 | 0.5333 | 0.7302 |
| No log | 5.8701 | 452 | 0.5412 | 0.5003 | 0.5412 | 0.7357 |
| No log | 5.8961 | 454 | 0.5495 | 0.5003 | 0.5495 | 0.7413 |
| No log | 5.9221 | 456 | 0.5417 | 0.5021 | 0.5417 | 0.7360 |
| No log | 5.9481 | 458 | 0.5692 | 0.5235 | 0.5692 | 0.7545 |
| No log | 5.9740 | 460 | 0.5432 | 0.5151 | 0.5432 | 0.7370 |
| No log | 6.0 | 462 | 0.5489 | 0.5642 | 0.5489 | 0.7409 |
| No log | 6.0260 | 464 | 0.5576 | 0.5554 | 0.5576 | 0.7467 |
| No log | 6.0519 | 466 | 0.5658 | 0.5744 | 0.5658 | 0.7522 |
| No log | 6.0779 | 468 | 0.5600 | 0.5533 | 0.5600 | 0.7483 |
| No log | 6.1039 | 470 | 0.5570 | 0.5412 | 0.5570 | 0.7463 |
| No log | 6.1299 | 472 | 0.6015 | 0.5291 | 0.6015 | 0.7756 |
| No log | 6.1558 | 474 | 0.6419 | 0.4315 | 0.6419 | 0.8012 |
| No log | 6.1818 | 476 | 0.6072 | 0.4625 | 0.6072 | 0.7792 |
| No log | 6.2078 | 478 | 0.6033 | 0.4782 | 0.6033 | 0.7767 |
| No log | 6.2338 | 480 | 0.5844 | 0.4260 | 0.5844 | 0.7645 |
| No log | 6.2597 | 482 | 0.5557 | 0.5022 | 0.5557 | 0.7455 |
| No log | 6.2857 | 484 | 0.5754 | 0.4681 | 0.5754 | 0.7586 |
| No log | 6.3117 | 486 | 0.6493 | 0.4486 | 0.6493 | 0.8058 |
| No log | 6.3377 | 488 | 0.7090 | 0.3906 | 0.7090 | 0.8420 |
| No log | 6.3636 | 490 | 0.6621 | 0.4887 | 0.6621 | 0.8137 |
| No log | 6.3896 | 492 | 0.5637 | 0.5115 | 0.5637 | 0.7508 |
| No log | 6.4156 | 494 | 0.5312 | 0.5580 | 0.5312 | 0.7288 |
| No log | 6.4416 | 496 | 0.5366 | 0.5422 | 0.5366 | 0.7326 |
| No log | 6.4675 | 498 | 0.5528 | 0.5438 | 0.5528 | 0.7435 |
| 0.3701 | 6.4935 | 500 | 0.5319 | 0.5028 | 0.5319 | 0.7293 |
| 0.3701 | 6.5195 | 502 | 0.5275 | 0.5195 | 0.5275 | 0.7263 |
| 0.3701 | 6.5455 | 504 | 0.5471 | 0.4828 | 0.5471 | 0.7397 |
| 0.3701 | 6.5714 | 506 | 0.5822 | 0.4864 | 0.5822 | 0.7630 |
| 0.3701 | 6.5974 | 508 | 0.6080 | 0.4112 | 0.6080 | 0.7798 |
| 0.3701 | 6.6234 | 510 | 0.6137 | 0.4112 | 0.6137 | 0.7834 |
| 0.3701 | 6.6494 | 512 | 0.5615 | 0.4375 | 0.5615 | 0.7493 |
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_run1_AugV5_k15_task7_organization
Base model
aubmindlab/bert-base-arabertv02