ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k5_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: 0.5809
- Qwk: 0.6325
- Mse: 0.5809
- Rmse: 0.7622
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 | 0.08 | 2 | 3.8817 | -0.0217 | 3.8817 | 1.9702 |
| No log | 0.16 | 4 | 2.0976 | 0.0727 | 2.0976 | 1.4483 |
| No log | 0.24 | 6 | 1.5549 | -0.0417 | 1.5549 | 1.2469 |
| No log | 0.32 | 8 | 1.2587 | 0.0343 | 1.2587 | 1.1219 |
| No log | 0.4 | 10 | 1.1387 | 0.1284 | 1.1387 | 1.0671 |
| No log | 0.48 | 12 | 1.1908 | 0.1699 | 1.1908 | 1.0912 |
| No log | 0.56 | 14 | 1.1008 | 0.1935 | 1.1008 | 1.0492 |
| No log | 0.64 | 16 | 1.3175 | 0.0970 | 1.3175 | 1.1478 |
| No log | 0.72 | 18 | 1.6595 | 0.1975 | 1.6595 | 1.2882 |
| No log | 0.8 | 20 | 1.2825 | 0.2220 | 1.2825 | 1.1325 |
| No log | 0.88 | 22 | 0.8393 | 0.3730 | 0.8393 | 0.9161 |
| No log | 0.96 | 24 | 0.9591 | 0.2518 | 0.9591 | 0.9793 |
| No log | 1.04 | 26 | 0.9408 | 0.2518 | 0.9408 | 0.9699 |
| No log | 1.12 | 28 | 0.7815 | 0.3667 | 0.7815 | 0.8840 |
| No log | 1.2 | 30 | 0.8711 | 0.3066 | 0.8711 | 0.9333 |
| No log | 1.28 | 32 | 1.0114 | 0.2816 | 1.0114 | 1.0057 |
| No log | 1.3600 | 34 | 0.8554 | 0.3902 | 0.8554 | 0.9249 |
| No log | 1.44 | 36 | 0.6281 | 0.5887 | 0.6281 | 0.7925 |
| No log | 1.52 | 38 | 0.8109 | 0.6173 | 0.8109 | 0.9005 |
| No log | 1.6 | 40 | 0.7401 | 0.6709 | 0.7401 | 0.8603 |
| No log | 1.6800 | 42 | 0.6123 | 0.6058 | 0.6123 | 0.7825 |
| No log | 1.76 | 44 | 1.0412 | 0.4750 | 1.0412 | 1.0204 |
| No log | 1.8400 | 46 | 1.4529 | 0.3148 | 1.4529 | 1.2054 |
| No log | 1.92 | 48 | 1.1696 | 0.4500 | 1.1696 | 1.0815 |
| No log | 2.0 | 50 | 0.7799 | 0.5190 | 0.7799 | 0.8831 |
| No log | 2.08 | 52 | 0.7030 | 0.5964 | 0.7030 | 0.8384 |
| No log | 2.16 | 54 | 0.6848 | 0.5964 | 0.6848 | 0.8275 |
| No log | 2.24 | 56 | 0.8262 | 0.6283 | 0.8262 | 0.9089 |
| No log | 2.32 | 58 | 1.1590 | 0.4421 | 1.1590 | 1.0766 |
| No log | 2.4 | 60 | 1.1983 | 0.3737 | 1.1983 | 1.0946 |
| No log | 2.48 | 62 | 0.8460 | 0.5344 | 0.8460 | 0.9198 |
| No log | 2.56 | 64 | 0.6604 | 0.6254 | 0.6604 | 0.8127 |
| No log | 2.64 | 66 | 0.7355 | 0.6292 | 0.7355 | 0.8576 |
| No log | 2.7200 | 68 | 0.6632 | 0.6147 | 0.6632 | 0.8144 |
| No log | 2.8 | 70 | 0.6610 | 0.6246 | 0.6610 | 0.8130 |
| No log | 2.88 | 72 | 0.6591 | 0.6246 | 0.6591 | 0.8118 |
| No log | 2.96 | 74 | 0.6525 | 0.5955 | 0.6525 | 0.8078 |
| No log | 3.04 | 76 | 0.6890 | 0.6206 | 0.6890 | 0.8301 |
| No log | 3.12 | 78 | 0.6719 | 0.5931 | 0.6719 | 0.8197 |
| No log | 3.2 | 80 | 0.7909 | 0.6396 | 0.7909 | 0.8893 |
| No log | 3.2800 | 82 | 0.9247 | 0.5948 | 0.9247 | 0.9616 |
| No log | 3.36 | 84 | 1.0335 | 0.5264 | 1.0335 | 1.0166 |
| No log | 3.44 | 86 | 0.7811 | 0.6716 | 0.7811 | 0.8838 |
| No log | 3.52 | 88 | 0.6673 | 0.5892 | 0.6673 | 0.8169 |
| No log | 3.6 | 90 | 0.6643 | 0.5941 | 0.6643 | 0.8151 |
| No log | 3.68 | 92 | 0.7196 | 0.6108 | 0.7196 | 0.8483 |
| No log | 3.76 | 94 | 0.6957 | 0.6107 | 0.6957 | 0.8341 |
| No log | 3.84 | 96 | 0.6605 | 0.6634 | 0.6605 | 0.8127 |
| No log | 3.92 | 98 | 0.6512 | 0.6206 | 0.6512 | 0.8070 |
| No log | 4.0 | 100 | 0.7231 | 0.5659 | 0.7231 | 0.8504 |
| No log | 4.08 | 102 | 0.8106 | 0.5368 | 0.8106 | 0.9003 |
| No log | 4.16 | 104 | 0.7098 | 0.6411 | 0.7098 | 0.8425 |
| No log | 4.24 | 106 | 0.6851 | 0.5917 | 0.6851 | 0.8277 |
| No log | 4.32 | 108 | 0.7569 | 0.5865 | 0.7569 | 0.8700 |
| No log | 4.4 | 110 | 0.6795 | 0.5511 | 0.6795 | 0.8243 |
| No log | 4.48 | 112 | 0.7851 | 0.5792 | 0.7851 | 0.8861 |
| No log | 4.5600 | 114 | 1.1439 | 0.4077 | 1.1439 | 1.0695 |
| No log | 4.64 | 116 | 1.1376 | 0.4077 | 1.1376 | 1.0666 |
| No log | 4.72 | 118 | 0.8475 | 0.5157 | 0.8475 | 0.9206 |
| No log | 4.8 | 120 | 0.6410 | 0.5747 | 0.6410 | 0.8007 |
| No log | 4.88 | 122 | 0.6663 | 0.5968 | 0.6663 | 0.8163 |
| No log | 4.96 | 124 | 0.6590 | 0.6241 | 0.6590 | 0.8118 |
| No log | 5.04 | 126 | 0.6361 | 0.6386 | 0.6361 | 0.7976 |
| No log | 5.12 | 128 | 0.6566 | 0.6559 | 0.6566 | 0.8103 |
| No log | 5.2 | 130 | 0.6072 | 0.6499 | 0.6072 | 0.7792 |
| No log | 5.28 | 132 | 0.6098 | 0.6886 | 0.6098 | 0.7809 |
| No log | 5.36 | 134 | 0.6605 | 0.6071 | 0.6605 | 0.8127 |
| No log | 5.44 | 136 | 0.6693 | 0.6071 | 0.6693 | 0.8181 |
| No log | 5.52 | 138 | 0.6092 | 0.7081 | 0.6092 | 0.7805 |
| No log | 5.6 | 140 | 0.5944 | 0.6249 | 0.5944 | 0.7710 |
| No log | 5.68 | 142 | 0.6067 | 0.6195 | 0.6067 | 0.7789 |
| No log | 5.76 | 144 | 0.6435 | 0.6173 | 0.6435 | 0.8022 |
| No log | 5.84 | 146 | 0.6408 | 0.6354 | 0.6408 | 0.8005 |
| No log | 5.92 | 148 | 0.6495 | 0.6393 | 0.6495 | 0.8059 |
| No log | 6.0 | 150 | 0.6965 | 0.6346 | 0.6965 | 0.8346 |
| No log | 6.08 | 152 | 0.8483 | 0.5887 | 0.8483 | 0.9211 |
| No log | 6.16 | 154 | 0.7649 | 0.5239 | 0.7649 | 0.8746 |
| No log | 6.24 | 156 | 0.6514 | 0.6293 | 0.6514 | 0.8071 |
| No log | 6.32 | 158 | 0.6408 | 0.6407 | 0.6408 | 0.8005 |
| No log | 6.4 | 160 | 0.6596 | 0.5560 | 0.6596 | 0.8122 |
| No log | 6.48 | 162 | 0.7126 | 0.5447 | 0.7126 | 0.8442 |
| No log | 6.5600 | 164 | 0.7660 | 0.5855 | 0.7660 | 0.8752 |
| No log | 6.64 | 166 | 0.6336 | 0.6154 | 0.6336 | 0.7960 |
| No log | 6.72 | 168 | 0.6154 | 0.6620 | 0.6154 | 0.7845 |
| No log | 6.8 | 170 | 0.7117 | 0.5798 | 0.7117 | 0.8436 |
| No log | 6.88 | 172 | 0.6693 | 0.6198 | 0.6693 | 0.8181 |
| No log | 6.96 | 174 | 0.5991 | 0.6509 | 0.5991 | 0.7740 |
| No log | 7.04 | 176 | 0.6303 | 0.6526 | 0.6303 | 0.7939 |
| No log | 7.12 | 178 | 0.6439 | 0.5865 | 0.6439 | 0.8024 |
| No log | 7.2 | 180 | 0.6920 | 0.5870 | 0.6920 | 0.8318 |
| No log | 7.28 | 182 | 0.7052 | 0.6174 | 0.7052 | 0.8398 |
| No log | 7.36 | 184 | 0.6127 | 0.6804 | 0.6127 | 0.7827 |
| No log | 7.44 | 186 | 0.5901 | 0.6272 | 0.5901 | 0.7682 |
| No log | 7.52 | 188 | 0.5840 | 0.6501 | 0.5840 | 0.7642 |
| No log | 7.6 | 190 | 0.5742 | 0.6882 | 0.5742 | 0.7577 |
| No log | 7.68 | 192 | 0.5912 | 0.6759 | 0.5912 | 0.7689 |
| No log | 7.76 | 194 | 0.5837 | 0.6427 | 0.5837 | 0.7640 |
| No log | 7.84 | 196 | 0.5978 | 0.6265 | 0.5978 | 0.7732 |
| No log | 7.92 | 198 | 0.6049 | 0.6377 | 0.6049 | 0.7778 |
| No log | 8.0 | 200 | 0.5837 | 0.6109 | 0.5837 | 0.7640 |
| No log | 8.08 | 202 | 0.5528 | 0.6699 | 0.5528 | 0.7435 |
| No log | 8.16 | 204 | 0.6184 | 0.5860 | 0.6184 | 0.7864 |
| No log | 8.24 | 206 | 0.6550 | 0.6283 | 0.6550 | 0.8093 |
| No log | 8.32 | 208 | 0.6592 | 0.6312 | 0.6592 | 0.8119 |
| No log | 8.4 | 210 | 0.5578 | 0.6778 | 0.5578 | 0.7468 |
| No log | 8.48 | 212 | 0.5570 | 0.6415 | 0.5570 | 0.7464 |
| No log | 8.56 | 214 | 0.5729 | 0.6317 | 0.5729 | 0.7569 |
| No log | 8.64 | 216 | 0.5870 | 0.5894 | 0.5870 | 0.7662 |
| No log | 8.72 | 218 | 0.5653 | 0.6108 | 0.5653 | 0.7518 |
| No log | 8.8 | 220 | 0.5286 | 0.6507 | 0.5286 | 0.7270 |
| No log | 8.88 | 222 | 0.5374 | 0.6929 | 0.5374 | 0.7331 |
| No log | 8.96 | 224 | 0.5471 | 0.6245 | 0.5471 | 0.7396 |
| No log | 9.04 | 226 | 0.4932 | 0.7088 | 0.4932 | 0.7023 |
| No log | 9.12 | 228 | 0.4997 | 0.7064 | 0.4997 | 0.7069 |
| No log | 9.2 | 230 | 0.5548 | 0.6880 | 0.5548 | 0.7448 |
| No log | 9.28 | 232 | 0.6011 | 0.6664 | 0.6011 | 0.7753 |
| No log | 9.36 | 234 | 0.6275 | 0.6312 | 0.6275 | 0.7922 |
| No log | 9.44 | 236 | 0.5303 | 0.6733 | 0.5303 | 0.7282 |
| No log | 9.52 | 238 | 0.5039 | 0.6164 | 0.5039 | 0.7099 |
| No log | 9.6 | 240 | 0.5579 | 0.6678 | 0.5579 | 0.7469 |
| No log | 9.68 | 242 | 0.5385 | 0.7114 | 0.5385 | 0.7338 |
| No log | 9.76 | 244 | 0.4918 | 0.6546 | 0.4918 | 0.7013 |
| No log | 9.84 | 246 | 0.5039 | 0.6935 | 0.5039 | 0.7098 |
| No log | 9.92 | 248 | 0.5059 | 0.7049 | 0.5059 | 0.7113 |
| No log | 10.0 | 250 | 0.4972 | 0.6488 | 0.4972 | 0.7051 |
| No log | 10.08 | 252 | 0.5092 | 0.6716 | 0.5092 | 0.7136 |
| No log | 10.16 | 254 | 0.5141 | 0.6725 | 0.5141 | 0.7170 |
| No log | 10.24 | 256 | 0.6542 | 0.6610 | 0.6542 | 0.8088 |
| No log | 10.32 | 258 | 0.6912 | 0.6706 | 0.6912 | 0.8314 |
| No log | 10.4 | 260 | 0.5498 | 0.6964 | 0.5498 | 0.7415 |
| No log | 10.48 | 262 | 0.5038 | 0.7082 | 0.5038 | 0.7098 |
| No log | 10.56 | 264 | 0.5307 | 0.6648 | 0.5307 | 0.7285 |
| No log | 10.64 | 266 | 0.4985 | 0.6980 | 0.4985 | 0.7061 |
| No log | 10.72 | 268 | 0.5232 | 0.6676 | 0.5232 | 0.7233 |
| No log | 10.8 | 270 | 0.5649 | 0.6172 | 0.5649 | 0.7516 |
| No log | 10.88 | 272 | 0.5701 | 0.5692 | 0.5701 | 0.7551 |
| No log | 10.96 | 274 | 0.5754 | 0.5874 | 0.5754 | 0.7586 |
| No log | 11.04 | 276 | 0.6347 | 0.5825 | 0.6347 | 0.7967 |
| No log | 11.12 | 278 | 0.6812 | 0.6190 | 0.6812 | 0.8253 |
| No log | 11.2 | 280 | 0.6486 | 0.5877 | 0.6486 | 0.8054 |
| No log | 11.28 | 282 | 0.5867 | 0.6511 | 0.5867 | 0.7659 |
| No log | 11.36 | 284 | 0.5502 | 0.6389 | 0.5502 | 0.7417 |
| No log | 11.44 | 286 | 0.5470 | 0.6822 | 0.5470 | 0.7396 |
| No log | 11.52 | 288 | 0.5896 | 0.6332 | 0.5896 | 0.7679 |
| No log | 11.6 | 290 | 0.5830 | 0.6332 | 0.5830 | 0.7635 |
| No log | 11.68 | 292 | 0.5433 | 0.6676 | 0.5433 | 0.7371 |
| No log | 11.76 | 294 | 0.5253 | 0.6460 | 0.5253 | 0.7248 |
| No log | 11.84 | 296 | 0.5075 | 0.6584 | 0.5075 | 0.7124 |
| No log | 11.92 | 298 | 0.5088 | 0.7001 | 0.5088 | 0.7133 |
| No log | 12.0 | 300 | 0.5184 | 0.6590 | 0.5184 | 0.7200 |
| No log | 12.08 | 302 | 0.4813 | 0.7323 | 0.4813 | 0.6938 |
| No log | 12.16 | 304 | 0.4792 | 0.7077 | 0.4792 | 0.6922 |
| No log | 12.24 | 306 | 0.5365 | 0.6768 | 0.5365 | 0.7324 |
| No log | 12.32 | 308 | 0.5065 | 0.6894 | 0.5065 | 0.7117 |
| No log | 12.4 | 310 | 0.4818 | 0.6830 | 0.4818 | 0.6941 |
| No log | 12.48 | 312 | 0.4885 | 0.6364 | 0.4885 | 0.6989 |
| No log | 12.56 | 314 | 0.5019 | 0.6456 | 0.5019 | 0.7084 |
| No log | 12.64 | 316 | 0.5163 | 0.6652 | 0.5163 | 0.7186 |
| No log | 12.72 | 318 | 0.5161 | 0.6652 | 0.5161 | 0.7184 |
| No log | 12.8 | 320 | 0.5039 | 0.6249 | 0.5039 | 0.7099 |
| No log | 12.88 | 322 | 0.5650 | 0.6807 | 0.5650 | 0.7516 |
| No log | 12.96 | 324 | 0.7567 | 0.6190 | 0.7567 | 0.8699 |
| No log | 13.04 | 326 | 0.8491 | 0.5952 | 0.8491 | 0.9215 |
| No log | 13.12 | 328 | 0.7223 | 0.6209 | 0.7223 | 0.8499 |
| No log | 13.2 | 330 | 0.5357 | 0.6748 | 0.5357 | 0.7319 |
| No log | 13.28 | 332 | 0.4889 | 0.6898 | 0.4889 | 0.6992 |
| No log | 13.36 | 334 | 0.5351 | 0.7202 | 0.5351 | 0.7315 |
| No log | 13.44 | 336 | 0.5176 | 0.7040 | 0.5176 | 0.7194 |
| No log | 13.52 | 338 | 0.4985 | 0.6716 | 0.4985 | 0.7061 |
| No log | 13.6 | 340 | 0.5187 | 0.6557 | 0.5187 | 0.7202 |
| No log | 13.68 | 342 | 0.5254 | 0.6724 | 0.5254 | 0.7248 |
| No log | 13.76 | 344 | 0.5580 | 0.6639 | 0.5580 | 0.7470 |
| No log | 13.84 | 346 | 0.5158 | 0.6664 | 0.5158 | 0.7182 |
| No log | 13.92 | 348 | 0.4990 | 0.7049 | 0.4990 | 0.7064 |
| No log | 14.0 | 350 | 0.5360 | 0.7040 | 0.5360 | 0.7321 |
| No log | 14.08 | 352 | 0.5290 | 0.6943 | 0.5290 | 0.7274 |
| No log | 14.16 | 354 | 0.5009 | 0.6207 | 0.5009 | 0.7077 |
| No log | 14.24 | 356 | 0.5234 | 0.6451 | 0.5234 | 0.7235 |
| No log | 14.32 | 358 | 0.5613 | 0.6748 | 0.5613 | 0.7492 |
| No log | 14.4 | 360 | 0.5459 | 0.6748 | 0.5459 | 0.7389 |
| No log | 14.48 | 362 | 0.5129 | 0.6354 | 0.5129 | 0.7162 |
| No log | 14.56 | 364 | 0.5145 | 0.6207 | 0.5145 | 0.7173 |
| No log | 14.64 | 366 | 0.5188 | 0.6107 | 0.5188 | 0.7203 |
| No log | 14.72 | 368 | 0.5183 | 0.6353 | 0.5183 | 0.7199 |
| No log | 14.8 | 370 | 0.5259 | 0.6353 | 0.5259 | 0.7252 |
| No log | 14.88 | 372 | 0.5225 | 0.6272 | 0.5225 | 0.7228 |
| No log | 14.96 | 374 | 0.5111 | 0.6649 | 0.5111 | 0.7149 |
| No log | 15.04 | 376 | 0.5130 | 0.7005 | 0.5130 | 0.7162 |
| No log | 15.12 | 378 | 0.5344 | 0.6830 | 0.5344 | 0.7310 |
| No log | 15.2 | 380 | 0.5456 | 0.6830 | 0.5456 | 0.7387 |
| No log | 15.28 | 382 | 0.5404 | 0.6641 | 0.5404 | 0.7351 |
| No log | 15.36 | 384 | 0.5429 | 0.6164 | 0.5429 | 0.7368 |
| No log | 15.44 | 386 | 0.5512 | 0.6230 | 0.5512 | 0.7424 |
| No log | 15.52 | 388 | 0.5485 | 0.6164 | 0.5485 | 0.7406 |
| No log | 15.6 | 390 | 0.5420 | 0.6354 | 0.5420 | 0.7362 |
| No log | 15.68 | 392 | 0.5428 | 0.6354 | 0.5428 | 0.7367 |
| No log | 15.76 | 394 | 0.5582 | 0.6230 | 0.5582 | 0.7471 |
| No log | 15.84 | 396 | 0.5825 | 0.6343 | 0.5825 | 0.7632 |
| No log | 15.92 | 398 | 0.5936 | 0.6209 | 0.5936 | 0.7705 |
| No log | 16.0 | 400 | 0.6282 | 0.5763 | 0.6282 | 0.7926 |
| No log | 16.08 | 402 | 0.6256 | 0.5763 | 0.6256 | 0.7909 |
| No log | 16.16 | 404 | 0.5682 | 0.6508 | 0.5682 | 0.7538 |
| No log | 16.24 | 406 | 0.5236 | 0.6742 | 0.5236 | 0.7236 |
| No log | 16.32 | 408 | 0.5538 | 0.6985 | 0.5538 | 0.7441 |
| No log | 16.4 | 410 | 0.5800 | 0.6578 | 0.5800 | 0.7616 |
| No log | 16.48 | 412 | 0.5334 | 0.7145 | 0.5334 | 0.7303 |
| No log | 16.56 | 414 | 0.5072 | 0.6634 | 0.5072 | 0.7122 |
| No log | 16.64 | 416 | 0.5226 | 0.6435 | 0.5226 | 0.7229 |
| No log | 16.72 | 418 | 0.5360 | 0.6276 | 0.5360 | 0.7321 |
| No log | 16.8 | 420 | 0.5083 | 0.6186 | 0.5083 | 0.7129 |
| No log | 16.88 | 422 | 0.5034 | 0.6753 | 0.5034 | 0.7095 |
| No log | 16.96 | 424 | 0.5132 | 0.6952 | 0.5132 | 0.7164 |
| No log | 17.04 | 426 | 0.5127 | 0.7104 | 0.5127 | 0.7161 |
| No log | 17.12 | 428 | 0.5157 | 0.7104 | 0.5157 | 0.7181 |
| No log | 17.2 | 430 | 0.5543 | 0.7047 | 0.5543 | 0.7445 |
| No log | 17.28 | 432 | 0.5637 | 0.7047 | 0.5637 | 0.7508 |
| No log | 17.36 | 434 | 0.5300 | 0.6497 | 0.5300 | 0.7280 |
| No log | 17.44 | 436 | 0.5799 | 0.6084 | 0.5799 | 0.7615 |
| No log | 17.52 | 438 | 0.7208 | 0.6521 | 0.7208 | 0.8490 |
| No log | 17.6 | 440 | 0.8163 | 0.6229 | 0.8163 | 0.9035 |
| No log | 17.68 | 442 | 0.7951 | 0.6446 | 0.7951 | 0.8917 |
| No log | 17.76 | 444 | 0.6853 | 0.6227 | 0.6853 | 0.8278 |
| No log | 17.84 | 446 | 0.5800 | 0.6324 | 0.5800 | 0.7615 |
| No log | 17.92 | 448 | 0.5461 | 0.6564 | 0.5461 | 0.7390 |
| No log | 18.0 | 450 | 0.5928 | 0.6402 | 0.5928 | 0.7699 |
| No log | 18.08 | 452 | 0.6100 | 0.6308 | 0.6100 | 0.7811 |
| No log | 18.16 | 454 | 0.5633 | 0.6507 | 0.5633 | 0.7505 |
| No log | 18.24 | 456 | 0.5329 | 0.6442 | 0.5329 | 0.7300 |
| No log | 18.32 | 458 | 0.5927 | 0.7013 | 0.5927 | 0.7699 |
| No log | 18.4 | 460 | 0.6553 | 0.6864 | 0.6553 | 0.8095 |
| No log | 18.48 | 462 | 0.6425 | 0.6906 | 0.6425 | 0.8016 |
| No log | 18.56 | 464 | 0.5790 | 0.6609 | 0.5790 | 0.7610 |
| No log | 18.64 | 466 | 0.5333 | 0.6627 | 0.5333 | 0.7303 |
| No log | 18.72 | 468 | 0.5823 | 0.6692 | 0.5823 | 0.7631 |
| No log | 18.8 | 470 | 0.6101 | 0.6603 | 0.6101 | 0.7811 |
| No log | 18.88 | 472 | 0.5794 | 0.6595 | 0.5794 | 0.7612 |
| No log | 18.96 | 474 | 0.5529 | 0.7096 | 0.5529 | 0.7436 |
| No log | 19.04 | 476 | 0.5577 | 0.7219 | 0.5577 | 0.7468 |
| No log | 19.12 | 478 | 0.5676 | 0.7063 | 0.5676 | 0.7534 |
| No log | 19.2 | 480 | 0.5627 | 0.6901 | 0.5627 | 0.7501 |
| No log | 19.28 | 482 | 0.5649 | 0.6297 | 0.5649 | 0.7516 |
| No log | 19.36 | 484 | 0.5700 | 0.6039 | 0.5700 | 0.7550 |
| No log | 19.44 | 486 | 0.5782 | 0.6097 | 0.5782 | 0.7604 |
| No log | 19.52 | 488 | 0.5765 | 0.6097 | 0.5765 | 0.7593 |
| No log | 19.6 | 490 | 0.5826 | 0.6097 | 0.5826 | 0.7633 |
| No log | 19.68 | 492 | 0.5813 | 0.6097 | 0.5813 | 0.7624 |
| No log | 19.76 | 494 | 0.5765 | 0.6507 | 0.5765 | 0.7593 |
| No log | 19.84 | 496 | 0.5709 | 0.6606 | 0.5709 | 0.7556 |
| No log | 19.92 | 498 | 0.5495 | 0.7034 | 0.5495 | 0.7413 |
| 0.2411 | 20.0 | 500 | 0.5451 | 0.6709 | 0.5451 | 0.7383 |
| 0.2411 | 20.08 | 502 | 0.5449 | 0.6805 | 0.5449 | 0.7382 |
| 0.2411 | 20.16 | 504 | 0.5442 | 0.6788 | 0.5442 | 0.7377 |
| 0.2411 | 20.24 | 506 | 0.5572 | 0.6196 | 0.5572 | 0.7465 |
| 0.2411 | 20.32 | 508 | 0.5794 | 0.6024 | 0.5794 | 0.7612 |
| 0.2411 | 20.4 | 510 | 0.5895 | 0.6139 | 0.5895 | 0.7678 |
| 0.2411 | 20.48 | 512 | 0.5868 | 0.6232 | 0.5868 | 0.7660 |
| 0.2411 | 20.56 | 514 | 0.5809 | 0.6325 | 0.5809 | 0.7622 |
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_run3_AugV5_k5_task5_organization
Base model
aubmindlab/bert-base-arabertv02