ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_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: 0.5974
- Qwk: 0.5960
- Mse: 0.5974
- Rmse: 0.7729
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 | 0.0267 | 2 | 4.0669 | 0.0070 | 4.0669 | 2.0167 |
| No log | 0.0533 | 4 | 2.9090 | 0.0152 | 2.9090 | 1.7056 |
| No log | 0.08 | 6 | 1.2960 | 0.0 | 1.2960 | 1.1384 |
| No log | 0.1067 | 8 | 1.1147 | 0.3048 | 1.1147 | 1.0558 |
| No log | 0.1333 | 10 | 1.0430 | 0.2135 | 1.0430 | 1.0213 |
| No log | 0.16 | 12 | 1.1226 | 0.1727 | 1.1226 | 1.0595 |
| No log | 0.1867 | 14 | 1.1844 | 0.0970 | 1.1844 | 1.0883 |
| No log | 0.2133 | 16 | 1.3299 | 0.0 | 1.3299 | 1.1532 |
| No log | 0.24 | 18 | 1.3558 | 0.0 | 1.3558 | 1.1644 |
| No log | 0.2667 | 20 | 1.3790 | 0.0 | 1.3790 | 1.1743 |
| No log | 0.2933 | 22 | 1.2796 | -0.0148 | 1.2796 | 1.1312 |
| No log | 0.32 | 24 | 1.1070 | 0.1261 | 1.1070 | 1.0521 |
| No log | 0.3467 | 26 | 0.9581 | 0.3207 | 0.9581 | 0.9788 |
| No log | 0.3733 | 28 | 0.9127 | 0.2770 | 0.9127 | 0.9554 |
| No log | 0.4 | 30 | 0.8811 | 0.2770 | 0.8811 | 0.9387 |
| No log | 0.4267 | 32 | 0.9003 | 0.3251 | 0.9003 | 0.9489 |
| No log | 0.4533 | 34 | 1.0816 | 0.1764 | 1.0816 | 1.0400 |
| No log | 0.48 | 36 | 1.1365 | 0.2119 | 1.1365 | 1.0661 |
| No log | 0.5067 | 38 | 0.9442 | 0.3026 | 0.9442 | 0.9717 |
| No log | 0.5333 | 40 | 0.7593 | 0.4585 | 0.7593 | 0.8714 |
| No log | 0.56 | 42 | 0.7200 | 0.4019 | 0.7200 | 0.8485 |
| No log | 0.5867 | 44 | 0.7143 | 0.4516 | 0.7143 | 0.8451 |
| No log | 0.6133 | 46 | 0.7583 | 0.5033 | 0.7583 | 0.8708 |
| No log | 0.64 | 48 | 0.7634 | 0.5503 | 0.7634 | 0.8737 |
| No log | 0.6667 | 50 | 0.7299 | 0.4444 | 0.7299 | 0.8543 |
| No log | 0.6933 | 52 | 0.6961 | 0.5115 | 0.6961 | 0.8343 |
| No log | 0.72 | 54 | 0.6817 | 0.6022 | 0.6817 | 0.8256 |
| No log | 0.7467 | 56 | 0.6949 | 0.4849 | 0.6949 | 0.8336 |
| No log | 0.7733 | 58 | 0.8157 | 0.5005 | 0.8157 | 0.9032 |
| No log | 0.8 | 60 | 0.7276 | 0.4971 | 0.7276 | 0.8530 |
| No log | 0.8267 | 62 | 0.7046 | 0.5732 | 0.7046 | 0.8394 |
| No log | 0.8533 | 64 | 0.8089 | 0.5411 | 0.8089 | 0.8994 |
| No log | 0.88 | 66 | 0.9645 | 0.5507 | 0.9645 | 0.9821 |
| No log | 0.9067 | 68 | 0.9393 | 0.5526 | 0.9393 | 0.9692 |
| No log | 0.9333 | 70 | 0.7803 | 0.5329 | 0.7803 | 0.8834 |
| No log | 0.96 | 72 | 0.7684 | 0.6598 | 0.7684 | 0.8766 |
| No log | 0.9867 | 74 | 1.0090 | 0.5679 | 1.0090 | 1.0045 |
| No log | 1.0133 | 76 | 1.3310 | 0.3650 | 1.3310 | 1.1537 |
| No log | 1.04 | 78 | 1.2523 | 0.4182 | 1.2523 | 1.1191 |
| No log | 1.0667 | 80 | 1.0030 | 0.3813 | 1.0030 | 1.0015 |
| No log | 1.0933 | 82 | 0.7379 | 0.5773 | 0.7379 | 0.8590 |
| No log | 1.12 | 84 | 0.7610 | 0.5998 | 0.7610 | 0.8723 |
| No log | 1.1467 | 86 | 0.6616 | 0.6198 | 0.6616 | 0.8134 |
| No log | 1.1733 | 88 | 0.6368 | 0.5662 | 0.6368 | 0.7980 |
| No log | 1.2 | 90 | 0.6859 | 0.6194 | 0.6859 | 0.8282 |
| No log | 1.2267 | 92 | 0.5913 | 0.6269 | 0.5913 | 0.7690 |
| No log | 1.2533 | 94 | 0.5983 | 0.5987 | 0.5983 | 0.7735 |
| No log | 1.28 | 96 | 0.6370 | 0.6451 | 0.6370 | 0.7981 |
| No log | 1.3067 | 98 | 0.6789 | 0.6630 | 0.6789 | 0.8239 |
| No log | 1.3333 | 100 | 0.7093 | 0.6239 | 0.7093 | 0.8422 |
| No log | 1.3600 | 102 | 0.7108 | 0.6398 | 0.7108 | 0.8431 |
| No log | 1.3867 | 104 | 0.7100 | 0.6104 | 0.7100 | 0.8426 |
| No log | 1.4133 | 106 | 0.7270 | 0.6689 | 0.7270 | 0.8527 |
| No log | 1.44 | 108 | 0.6990 | 0.6354 | 0.6990 | 0.8361 |
| No log | 1.4667 | 110 | 0.6416 | 0.6196 | 0.6416 | 0.8010 |
| No log | 1.4933 | 112 | 0.6311 | 0.6266 | 0.6311 | 0.7944 |
| No log | 1.52 | 114 | 0.6964 | 0.6549 | 0.6964 | 0.8345 |
| No log | 1.5467 | 116 | 0.6615 | 0.6367 | 0.6615 | 0.8133 |
| No log | 1.5733 | 118 | 0.5832 | 0.6432 | 0.5832 | 0.7637 |
| No log | 1.6 | 120 | 0.5382 | 0.6437 | 0.5382 | 0.7336 |
| No log | 1.6267 | 122 | 0.7503 | 0.6278 | 0.7503 | 0.8662 |
| No log | 1.6533 | 124 | 0.8662 | 0.5367 | 0.8662 | 0.9307 |
| No log | 1.6800 | 126 | 0.6713 | 0.6730 | 0.6713 | 0.8193 |
| No log | 1.7067 | 128 | 0.5035 | 0.6956 | 0.5035 | 0.7096 |
| No log | 1.7333 | 130 | 0.7095 | 0.6624 | 0.7095 | 0.8423 |
| No log | 1.76 | 132 | 0.8668 | 0.5817 | 0.8668 | 0.9310 |
| No log | 1.7867 | 134 | 0.7866 | 0.6005 | 0.7866 | 0.8869 |
| No log | 1.8133 | 136 | 0.6394 | 0.6609 | 0.6394 | 0.7996 |
| No log | 1.8400 | 138 | 0.5454 | 0.6894 | 0.5454 | 0.7385 |
| No log | 1.8667 | 140 | 0.5180 | 0.6947 | 0.5180 | 0.7197 |
| No log | 1.8933 | 142 | 0.5995 | 0.6438 | 0.5995 | 0.7743 |
| No log | 1.92 | 144 | 0.6529 | 0.6061 | 0.6529 | 0.8080 |
| No log | 1.9467 | 146 | 0.6217 | 0.5704 | 0.6217 | 0.7885 |
| No log | 1.9733 | 148 | 0.6156 | 0.5644 | 0.6156 | 0.7846 |
| No log | 2.0 | 150 | 0.6873 | 0.6328 | 0.6873 | 0.8290 |
| No log | 2.0267 | 152 | 0.7673 | 0.5307 | 0.7673 | 0.8759 |
| No log | 2.0533 | 154 | 0.7397 | 0.5725 | 0.7397 | 0.8600 |
| No log | 2.08 | 156 | 0.6382 | 0.6328 | 0.6382 | 0.7989 |
| No log | 2.1067 | 158 | 0.5611 | 0.5887 | 0.5611 | 0.7491 |
| No log | 2.1333 | 160 | 0.5623 | 0.6854 | 0.5623 | 0.7499 |
| No log | 2.16 | 162 | 0.5442 | 0.6812 | 0.5442 | 0.7377 |
| No log | 2.1867 | 164 | 0.5384 | 0.6406 | 0.5384 | 0.7338 |
| No log | 2.2133 | 166 | 0.6526 | 0.6646 | 0.6526 | 0.8078 |
| No log | 2.24 | 168 | 0.8951 | 0.5781 | 0.8951 | 0.9461 |
| No log | 2.2667 | 170 | 0.9365 | 0.5501 | 0.9365 | 0.9677 |
| No log | 2.2933 | 172 | 0.7618 | 0.6296 | 0.7618 | 0.8728 |
| No log | 2.32 | 174 | 0.6305 | 0.6111 | 0.6305 | 0.7941 |
| No log | 2.3467 | 176 | 0.6448 | 0.6054 | 0.6448 | 0.8030 |
| No log | 2.3733 | 178 | 0.6728 | 0.5629 | 0.6728 | 0.8203 |
| No log | 2.4 | 180 | 0.6530 | 0.5085 | 0.6530 | 0.8081 |
| No log | 2.4267 | 182 | 0.6541 | 0.5644 | 0.6541 | 0.8088 |
| No log | 2.4533 | 184 | 0.6690 | 0.6360 | 0.6690 | 0.8179 |
| No log | 2.48 | 186 | 0.6419 | 0.6018 | 0.6419 | 0.8012 |
| No log | 2.5067 | 188 | 0.6316 | 0.6345 | 0.6316 | 0.7947 |
| No log | 2.5333 | 190 | 0.6336 | 0.6219 | 0.6336 | 0.7960 |
| No log | 2.56 | 192 | 0.6483 | 0.6325 | 0.6483 | 0.8052 |
| No log | 2.5867 | 194 | 0.6338 | 0.6528 | 0.6338 | 0.7961 |
| No log | 2.6133 | 196 | 0.6261 | 0.5950 | 0.6261 | 0.7912 |
| No log | 2.64 | 198 | 0.6127 | 0.6272 | 0.6127 | 0.7827 |
| No log | 2.6667 | 200 | 0.6032 | 0.6568 | 0.6032 | 0.7767 |
| No log | 2.6933 | 202 | 0.6049 | 0.6492 | 0.6049 | 0.7777 |
| No log | 2.7200 | 204 | 0.6182 | 0.6689 | 0.6182 | 0.7862 |
| No log | 2.7467 | 206 | 0.6236 | 0.6689 | 0.6236 | 0.7897 |
| No log | 2.7733 | 208 | 0.6393 | 0.6662 | 0.6393 | 0.7996 |
| No log | 2.8 | 210 | 0.6144 | 0.6251 | 0.6144 | 0.7838 |
| No log | 2.8267 | 212 | 0.6459 | 0.6120 | 0.6459 | 0.8036 |
| No log | 2.8533 | 214 | 0.6740 | 0.6041 | 0.6740 | 0.8210 |
| No log | 2.88 | 216 | 0.6985 | 0.5603 | 0.6985 | 0.8358 |
| No log | 2.9067 | 218 | 0.7028 | 0.5720 | 0.7028 | 0.8383 |
| No log | 2.9333 | 220 | 0.6802 | 0.5895 | 0.6802 | 0.8247 |
| No log | 2.96 | 222 | 0.7473 | 0.6488 | 0.7473 | 0.8645 |
| No log | 2.9867 | 224 | 0.7473 | 0.6795 | 0.7473 | 0.8645 |
| No log | 3.0133 | 226 | 0.7062 | 0.6112 | 0.7062 | 0.8404 |
| No log | 3.04 | 228 | 0.6952 | 0.5921 | 0.6952 | 0.8338 |
| No log | 3.0667 | 230 | 0.6836 | 0.6259 | 0.6836 | 0.8268 |
| No log | 3.0933 | 232 | 0.6812 | 0.6067 | 0.6812 | 0.8253 |
| No log | 3.12 | 234 | 0.6530 | 0.6076 | 0.6530 | 0.8081 |
| No log | 3.1467 | 236 | 0.6424 | 0.5891 | 0.6424 | 0.8015 |
| No log | 3.1733 | 238 | 0.6588 | 0.5552 | 0.6588 | 0.8117 |
| No log | 3.2 | 240 | 0.6222 | 0.5891 | 0.6222 | 0.7888 |
| No log | 3.2267 | 242 | 0.5722 | 0.6046 | 0.5722 | 0.7565 |
| No log | 3.2533 | 244 | 0.5694 | 0.6129 | 0.5694 | 0.7546 |
| No log | 3.2800 | 246 | 0.5581 | 0.6251 | 0.5581 | 0.7470 |
| No log | 3.3067 | 248 | 0.5419 | 0.6243 | 0.5419 | 0.7361 |
| No log | 3.3333 | 250 | 0.6015 | 0.6188 | 0.6015 | 0.7755 |
| No log | 3.36 | 252 | 0.6570 | 0.6333 | 0.6570 | 0.8106 |
| No log | 3.3867 | 254 | 0.6817 | 0.6476 | 0.6817 | 0.8256 |
| No log | 3.4133 | 256 | 0.6670 | 0.6238 | 0.6670 | 0.8167 |
| No log | 3.44 | 258 | 0.6334 | 0.5948 | 0.6334 | 0.7959 |
| No log | 3.4667 | 260 | 0.6681 | 0.5688 | 0.6681 | 0.8174 |
| No log | 3.4933 | 262 | 0.7076 | 0.5577 | 0.7076 | 0.8412 |
| No log | 3.52 | 264 | 0.7215 | 0.5032 | 0.7215 | 0.8494 |
| No log | 3.5467 | 266 | 0.6778 | 0.5410 | 0.6778 | 0.8233 |
| No log | 3.5733 | 268 | 0.6198 | 0.5678 | 0.6198 | 0.7873 |
| No log | 3.6 | 270 | 0.5839 | 0.6473 | 0.5839 | 0.7641 |
| No log | 3.6267 | 272 | 0.5978 | 0.6901 | 0.5978 | 0.7732 |
| No log | 3.6533 | 274 | 0.6383 | 0.6340 | 0.6383 | 0.7989 |
| No log | 3.68 | 276 | 0.7059 | 0.5842 | 0.7059 | 0.8402 |
| No log | 3.7067 | 278 | 0.7757 | 0.5895 | 0.7757 | 0.8807 |
| No log | 3.7333 | 280 | 0.7295 | 0.5811 | 0.7295 | 0.8541 |
| No log | 3.76 | 282 | 0.6273 | 0.5642 | 0.6273 | 0.7920 |
| No log | 3.7867 | 284 | 0.5586 | 0.5490 | 0.5586 | 0.7474 |
| No log | 3.8133 | 286 | 0.5163 | 0.6673 | 0.5163 | 0.7185 |
| No log | 3.84 | 288 | 0.5323 | 0.7101 | 0.5323 | 0.7296 |
| No log | 3.8667 | 290 | 0.5561 | 0.7168 | 0.5561 | 0.7457 |
| No log | 3.8933 | 292 | 0.5813 | 0.6928 | 0.5813 | 0.7624 |
| No log | 3.92 | 294 | 0.6090 | 0.7161 | 0.6090 | 0.7804 |
| No log | 3.9467 | 296 | 0.6111 | 0.6589 | 0.6111 | 0.7818 |
| No log | 3.9733 | 298 | 0.5996 | 0.6528 | 0.5996 | 0.7743 |
| No log | 4.0 | 300 | 0.6367 | 0.6022 | 0.6367 | 0.7979 |
| No log | 4.0267 | 302 | 0.7019 | 0.5524 | 0.7019 | 0.8378 |
| No log | 4.0533 | 304 | 0.7130 | 0.5703 | 0.7130 | 0.8444 |
| No log | 4.08 | 306 | 0.6977 | 0.6028 | 0.6977 | 0.8353 |
| No log | 4.1067 | 308 | 0.7310 | 0.5486 | 0.7310 | 0.8550 |
| No log | 4.1333 | 310 | 0.6541 | 0.5832 | 0.6541 | 0.8088 |
| No log | 4.16 | 312 | 0.5684 | 0.5729 | 0.5684 | 0.7539 |
| No log | 4.1867 | 314 | 0.5062 | 0.6625 | 0.5062 | 0.7115 |
| No log | 4.2133 | 316 | 0.4951 | 0.6993 | 0.4951 | 0.7036 |
| No log | 4.24 | 318 | 0.5098 | 0.6724 | 0.5098 | 0.7140 |
| No log | 4.2667 | 320 | 0.5521 | 0.5975 | 0.5521 | 0.7430 |
| No log | 4.2933 | 322 | 0.6206 | 0.5666 | 0.6206 | 0.7878 |
| No log | 4.32 | 324 | 0.7545 | 0.6122 | 0.7545 | 0.8686 |
| No log | 4.3467 | 326 | 0.7913 | 0.56 | 0.7913 | 0.8896 |
| No log | 4.3733 | 328 | 0.6909 | 0.5668 | 0.6909 | 0.8312 |
| No log | 4.4 | 330 | 0.6274 | 0.6186 | 0.6274 | 0.7921 |
| No log | 4.4267 | 332 | 0.6303 | 0.5647 | 0.6303 | 0.7939 |
| No log | 4.4533 | 334 | 0.6299 | 0.6057 | 0.6299 | 0.7937 |
| No log | 4.48 | 336 | 0.6671 | 0.5731 | 0.6671 | 0.8168 |
| No log | 4.5067 | 338 | 0.6824 | 0.6160 | 0.6824 | 0.8261 |
| No log | 4.5333 | 340 | 0.6592 | 0.5731 | 0.6592 | 0.8119 |
| No log | 4.5600 | 342 | 0.6267 | 0.6456 | 0.6267 | 0.7916 |
| No log | 4.5867 | 344 | 0.6185 | 0.6570 | 0.6185 | 0.7864 |
| No log | 4.6133 | 346 | 0.6111 | 0.6667 | 0.6111 | 0.7817 |
| No log | 4.64 | 348 | 0.6259 | 0.6119 | 0.6259 | 0.7912 |
| No log | 4.6667 | 350 | 0.7116 | 0.5864 | 0.7116 | 0.8436 |
| No log | 4.6933 | 352 | 0.7122 | 0.6061 | 0.7122 | 0.8439 |
| No log | 4.72 | 354 | 0.6173 | 0.6291 | 0.6173 | 0.7857 |
| No log | 4.7467 | 356 | 0.5731 | 0.6507 | 0.5731 | 0.7570 |
| No log | 4.7733 | 358 | 0.5741 | 0.6699 | 0.5741 | 0.7577 |
| No log | 4.8 | 360 | 0.5664 | 0.6460 | 0.5664 | 0.7526 |
| No log | 4.8267 | 362 | 0.5984 | 0.6664 | 0.5984 | 0.7736 |
| No log | 4.8533 | 364 | 0.6289 | 0.6555 | 0.6289 | 0.7930 |
| No log | 4.88 | 366 | 0.6402 | 0.6455 | 0.6402 | 0.8001 |
| No log | 4.9067 | 368 | 0.6321 | 0.6278 | 0.6321 | 0.7950 |
| No log | 4.9333 | 370 | 0.6554 | 0.6048 | 0.6554 | 0.8096 |
| No log | 4.96 | 372 | 0.6899 | 0.5507 | 0.6899 | 0.8306 |
| No log | 4.9867 | 374 | 0.7076 | 0.5621 | 0.7076 | 0.8412 |
| No log | 5.0133 | 376 | 0.7106 | 0.5975 | 0.7106 | 0.8430 |
| No log | 5.04 | 378 | 0.7248 | 0.5492 | 0.7248 | 0.8513 |
| No log | 5.0667 | 380 | 0.7617 | 0.5509 | 0.7617 | 0.8728 |
| No log | 5.0933 | 382 | 0.7639 | 0.5813 | 0.7639 | 0.8740 |
| No log | 5.12 | 384 | 0.7232 | 0.5287 | 0.7232 | 0.8504 |
| No log | 5.1467 | 386 | 0.7326 | 0.4893 | 0.7326 | 0.8559 |
| No log | 5.1733 | 388 | 0.8029 | 0.5160 | 0.8029 | 0.8961 |
| No log | 5.2 | 390 | 0.8113 | 0.4921 | 0.8113 | 0.9007 |
| No log | 5.2267 | 392 | 0.7460 | 0.5173 | 0.7460 | 0.8637 |
| No log | 5.2533 | 394 | 0.6605 | 0.5345 | 0.6605 | 0.8127 |
| No log | 5.28 | 396 | 0.6372 | 0.5910 | 0.6372 | 0.7983 |
| No log | 5.3067 | 398 | 0.6344 | 0.5548 | 0.6344 | 0.7965 |
| No log | 5.3333 | 400 | 0.6146 | 0.5843 | 0.6146 | 0.7839 |
| No log | 5.36 | 402 | 0.6146 | 0.6380 | 0.6146 | 0.7839 |
| No log | 5.3867 | 404 | 0.6396 | 0.6380 | 0.6396 | 0.7998 |
| No log | 5.4133 | 406 | 0.7257 | 0.5462 | 0.7257 | 0.8519 |
| No log | 5.44 | 408 | 0.7759 | 0.5135 | 0.7759 | 0.8809 |
| No log | 5.4667 | 410 | 0.7755 | 0.5329 | 0.7755 | 0.8806 |
| No log | 5.4933 | 412 | 0.7023 | 0.5510 | 0.7023 | 0.8380 |
| No log | 5.52 | 414 | 0.6546 | 0.5503 | 0.6546 | 0.8091 |
| No log | 5.5467 | 416 | 0.6376 | 0.5874 | 0.6376 | 0.7985 |
| No log | 5.5733 | 418 | 0.6313 | 0.5874 | 0.6313 | 0.7946 |
| No log | 5.6 | 420 | 0.6218 | 0.6252 | 0.6218 | 0.7885 |
| No log | 5.6267 | 422 | 0.6019 | 0.6424 | 0.6019 | 0.7758 |
| No log | 5.6533 | 424 | 0.6025 | 0.6491 | 0.6025 | 0.7762 |
| No log | 5.68 | 426 | 0.6274 | 0.6110 | 0.6274 | 0.7921 |
| No log | 5.7067 | 428 | 0.6098 | 0.6347 | 0.6098 | 0.7809 |
| No log | 5.7333 | 430 | 0.5965 | 0.6252 | 0.5965 | 0.7724 |
| No log | 5.76 | 432 | 0.6243 | 0.5862 | 0.6243 | 0.7901 |
| No log | 5.7867 | 434 | 0.6342 | 0.5874 | 0.6342 | 0.7964 |
| No log | 5.8133 | 436 | 0.6350 | 0.6065 | 0.6350 | 0.7969 |
| No log | 5.84 | 438 | 0.6105 | 0.6035 | 0.6105 | 0.7814 |
| No log | 5.8667 | 440 | 0.5910 | 0.6229 | 0.5910 | 0.7688 |
| No log | 5.8933 | 442 | 0.5699 | 0.6597 | 0.5699 | 0.7549 |
| No log | 5.92 | 444 | 0.5504 | 0.6380 | 0.5504 | 0.7419 |
| No log | 5.9467 | 446 | 0.5475 | 0.6186 | 0.5475 | 0.7399 |
| No log | 5.9733 | 448 | 0.5549 | 0.6488 | 0.5549 | 0.7449 |
| No log | 6.0 | 450 | 0.6306 | 0.5833 | 0.6306 | 0.7941 |
| No log | 6.0267 | 452 | 0.7780 | 0.5756 | 0.7780 | 0.8820 |
| No log | 6.0533 | 454 | 0.8182 | 0.5745 | 0.8182 | 0.9045 |
| No log | 6.08 | 456 | 0.7531 | 0.5358 | 0.7531 | 0.8678 |
| No log | 6.1067 | 458 | 0.7121 | 0.5062 | 0.7121 | 0.8439 |
| No log | 6.1333 | 460 | 0.6498 | 0.6143 | 0.6498 | 0.8061 |
| No log | 6.16 | 462 | 0.6260 | 0.6390 | 0.6260 | 0.7912 |
| No log | 6.1867 | 464 | 0.6169 | 0.6537 | 0.6169 | 0.7854 |
| No log | 6.2133 | 466 | 0.6144 | 0.6572 | 0.6144 | 0.7838 |
| No log | 6.24 | 468 | 0.5965 | 0.6572 | 0.5965 | 0.7724 |
| No log | 6.2667 | 470 | 0.5728 | 0.6762 | 0.5728 | 0.7568 |
| No log | 6.2933 | 472 | 0.5680 | 0.6762 | 0.5680 | 0.7536 |
| No log | 6.32 | 474 | 0.5661 | 0.6720 | 0.5661 | 0.7524 |
| No log | 6.3467 | 476 | 0.5629 | 0.6680 | 0.5629 | 0.7503 |
| No log | 6.3733 | 478 | 0.5645 | 0.6431 | 0.5645 | 0.7513 |
| No log | 6.4 | 480 | 0.5947 | 0.6811 | 0.5947 | 0.7711 |
| No log | 6.4267 | 482 | 0.6013 | 0.6811 | 0.6013 | 0.7754 |
| No log | 6.4533 | 484 | 0.5851 | 0.6766 | 0.5851 | 0.7649 |
| No log | 6.48 | 486 | 0.5726 | 0.6689 | 0.5726 | 0.7567 |
| No log | 6.5067 | 488 | 0.6061 | 0.6833 | 0.6061 | 0.7785 |
| No log | 6.5333 | 490 | 0.6206 | 0.5889 | 0.6206 | 0.7878 |
| No log | 6.5600 | 492 | 0.6189 | 0.5771 | 0.6189 | 0.7867 |
| No log | 6.5867 | 494 | 0.5978 | 0.5902 | 0.5978 | 0.7731 |
| No log | 6.6133 | 496 | 0.5855 | 0.6276 | 0.5855 | 0.7652 |
| No log | 6.64 | 498 | 0.6264 | 0.6282 | 0.6264 | 0.7915 |
| 0.3023 | 6.6667 | 500 | 0.6734 | 0.6450 | 0.6734 | 0.8206 |
| 0.3023 | 6.6933 | 502 | 0.6382 | 0.6774 | 0.6382 | 0.7989 |
| 0.3023 | 6.72 | 504 | 0.5794 | 0.6695 | 0.5794 | 0.7612 |
| 0.3023 | 6.7467 | 506 | 0.5631 | 0.6510 | 0.5631 | 0.7504 |
| 0.3023 | 6.7733 | 508 | 0.5737 | 0.6719 | 0.5737 | 0.7575 |
| 0.3023 | 6.8 | 510 | 0.6108 | 0.5902 | 0.6108 | 0.7815 |
| 0.3023 | 6.8267 | 512 | 0.6008 | 0.5846 | 0.6008 | 0.7751 |
| 0.3023 | 6.8533 | 514 | 0.5907 | 0.6176 | 0.5907 | 0.7685 |
| 0.3023 | 6.88 | 516 | 0.5830 | 0.6539 | 0.5830 | 0.7635 |
| 0.3023 | 6.9067 | 518 | 0.5838 | 0.6539 | 0.5838 | 0.7640 |
| 0.3023 | 6.9333 | 520 | 0.5778 | 0.6736 | 0.5778 | 0.7601 |
| 0.3023 | 6.96 | 522 | 0.5766 | 0.6415 | 0.5766 | 0.7593 |
| 0.3023 | 6.9867 | 524 | 0.5867 | 0.6672 | 0.5867 | 0.7660 |
| 0.3023 | 7.0133 | 526 | 0.5857 | 0.6813 | 0.5857 | 0.7653 |
| 0.3023 | 7.04 | 528 | 0.5811 | 0.6861 | 0.5811 | 0.7623 |
| 0.3023 | 7.0667 | 530 | 0.5800 | 0.6689 | 0.5800 | 0.7616 |
| 0.3023 | 7.0933 | 532 | 0.5896 | 0.6708 | 0.5896 | 0.7678 |
| 0.3023 | 7.12 | 534 | 0.5974 | 0.6108 | 0.5974 | 0.7729 |
| 0.3023 | 7.1467 | 536 | 0.5869 | 0.6770 | 0.5869 | 0.7661 |
| 0.3023 | 7.1733 | 538 | 0.5951 | 0.6712 | 0.5951 | 0.7714 |
| 0.3023 | 7.2 | 540 | 0.6379 | 0.6157 | 0.6379 | 0.7987 |
| 0.3023 | 7.2267 | 542 | 0.6373 | 0.6282 | 0.6373 | 0.7983 |
| 0.3023 | 7.2533 | 544 | 0.5875 | 0.6269 | 0.5875 | 0.7665 |
| 0.3023 | 7.28 | 546 | 0.5378 | 0.6788 | 0.5378 | 0.7334 |
| 0.3023 | 7.3067 | 548 | 0.5388 | 0.6804 | 0.5388 | 0.7340 |
| 0.3023 | 7.3333 | 550 | 0.5634 | 0.7071 | 0.5634 | 0.7506 |
| 0.3023 | 7.36 | 552 | 0.5636 | 0.7071 | 0.5636 | 0.7508 |
| 0.3023 | 7.3867 | 554 | 0.5388 | 0.6589 | 0.5388 | 0.7341 |
| 0.3023 | 7.4133 | 556 | 0.5376 | 0.6689 | 0.5376 | 0.7332 |
| 0.3023 | 7.44 | 558 | 0.5413 | 0.6709 | 0.5413 | 0.7357 |
| 0.3023 | 7.4667 | 560 | 0.5503 | 0.6709 | 0.5503 | 0.7418 |
| 0.3023 | 7.4933 | 562 | 0.5475 | 0.6545 | 0.5475 | 0.7399 |
| 0.3023 | 7.52 | 564 | 0.5693 | 0.6551 | 0.5693 | 0.7545 |
| 0.3023 | 7.5467 | 566 | 0.6082 | 0.6330 | 0.6082 | 0.7799 |
| 0.3023 | 7.5733 | 568 | 0.6071 | 0.6322 | 0.6071 | 0.7792 |
| 0.3023 | 7.6 | 570 | 0.5900 | 0.5647 | 0.5900 | 0.7681 |
| 0.3023 | 7.6267 | 572 | 0.5914 | 0.6013 | 0.5914 | 0.7690 |
| 0.3023 | 7.6533 | 574 | 0.5974 | 0.5960 | 0.5974 | 0.7729 |
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_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02