Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_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: 1.0406
- Qwk: 0.5384
- Mse: 1.0406
- Rmse: 1.0201
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 | 0.0333 | 2 | 5.3891 | 0.0020 | 5.3891 | 2.3214 |
| No log | 0.0667 | 4 | 3.4371 | 0.0472 | 3.4371 | 1.8539 |
| No log | 0.1 | 6 | 2.5117 | -0.0418 | 2.5117 | 1.5848 |
| No log | 0.1333 | 8 | 1.8260 | 0.0401 | 1.8260 | 1.3513 |
| No log | 0.1667 | 10 | 1.4897 | 0.1457 | 1.4897 | 1.2205 |
| No log | 0.2 | 12 | 1.3323 | 0.0784 | 1.3323 | 1.1542 |
| No log | 0.2333 | 14 | 1.2683 | 0.1239 | 1.2683 | 1.1262 |
| No log | 0.2667 | 16 | 1.2390 | 0.1721 | 1.2390 | 1.1131 |
| No log | 0.3 | 18 | 1.2380 | 0.2401 | 1.2380 | 1.1126 |
| No log | 0.3333 | 20 | 1.2436 | 0.2284 | 1.2436 | 1.1152 |
| No log | 0.3667 | 22 | 1.1913 | 0.3246 | 1.1913 | 1.0915 |
| No log | 0.4 | 24 | 1.2085 | 0.2354 | 1.2085 | 1.0993 |
| No log | 0.4333 | 26 | 1.2187 | 0.1402 | 1.2187 | 1.1039 |
| No log | 0.4667 | 28 | 1.2488 | 0.0954 | 1.2488 | 1.1175 |
| No log | 0.5 | 30 | 1.3341 | 0.0738 | 1.3341 | 1.1551 |
| No log | 0.5333 | 32 | 1.3459 | 0.0828 | 1.3459 | 1.1601 |
| No log | 0.5667 | 34 | 1.2644 | 0.1662 | 1.2644 | 1.1244 |
| No log | 0.6 | 36 | 1.1848 | 0.2521 | 1.1848 | 1.0885 |
| No log | 0.6333 | 38 | 1.1702 | 0.2716 | 1.1702 | 1.0818 |
| No log | 0.6667 | 40 | 1.1403 | 0.3223 | 1.1403 | 1.0679 |
| No log | 0.7 | 42 | 1.1107 | 0.2761 | 1.1107 | 1.0539 |
| No log | 0.7333 | 44 | 1.1000 | 0.2716 | 1.1000 | 1.0488 |
| No log | 0.7667 | 46 | 1.1208 | 0.2634 | 1.1208 | 1.0587 |
| No log | 0.8 | 48 | 1.1953 | 0.2299 | 1.1953 | 1.0933 |
| No log | 0.8333 | 50 | 1.3284 | 0.2178 | 1.3284 | 1.1526 |
| No log | 0.8667 | 52 | 1.4604 | 0.2208 | 1.4604 | 1.2085 |
| No log | 0.9 | 54 | 1.3493 | 0.2685 | 1.3493 | 1.1616 |
| No log | 0.9333 | 56 | 1.0607 | 0.3663 | 1.0607 | 1.0299 |
| No log | 0.9667 | 58 | 1.0234 | 0.3338 | 1.0234 | 1.0116 |
| No log | 1.0 | 60 | 1.0418 | 0.2791 | 1.0418 | 1.0207 |
| No log | 1.0333 | 62 | 1.0370 | 0.2781 | 1.0370 | 1.0183 |
| No log | 1.0667 | 64 | 1.0194 | 0.3765 | 1.0194 | 1.0097 |
| No log | 1.1 | 66 | 0.9996 | 0.3645 | 0.9996 | 0.9998 |
| No log | 1.1333 | 68 | 1.0081 | 0.4134 | 1.0081 | 1.0041 |
| No log | 1.1667 | 70 | 1.0690 | 0.4392 | 1.0690 | 1.0339 |
| No log | 1.2 | 72 | 1.0411 | 0.4008 | 1.0411 | 1.0204 |
| No log | 1.2333 | 74 | 0.9978 | 0.3963 | 0.9978 | 0.9989 |
| No log | 1.2667 | 76 | 0.9679 | 0.3470 | 0.9679 | 0.9838 |
| No log | 1.3 | 78 | 0.9226 | 0.4672 | 0.9226 | 0.9605 |
| No log | 1.3333 | 80 | 0.9085 | 0.4441 | 0.9085 | 0.9531 |
| No log | 1.3667 | 82 | 0.9009 | 0.4580 | 0.9009 | 0.9492 |
| No log | 1.4 | 84 | 0.9186 | 0.4640 | 0.9186 | 0.9584 |
| No log | 1.4333 | 86 | 0.9747 | 0.3874 | 0.9747 | 0.9873 |
| No log | 1.4667 | 88 | 1.1099 | 0.2958 | 1.1099 | 1.0535 |
| No log | 1.5 | 90 | 1.2047 | 0.2825 | 1.2047 | 1.0976 |
| No log | 1.5333 | 92 | 1.0383 | 0.3781 | 1.0383 | 1.0190 |
| No log | 1.5667 | 94 | 0.8580 | 0.5403 | 0.8580 | 0.9263 |
| No log | 1.6 | 96 | 0.8682 | 0.4838 | 0.8682 | 0.9317 |
| No log | 1.6333 | 98 | 1.0202 | 0.3706 | 1.0202 | 1.0100 |
| No log | 1.6667 | 100 | 1.0181 | 0.3706 | 1.0181 | 1.0090 |
| No log | 1.7 | 102 | 0.8877 | 0.4468 | 0.8877 | 0.9422 |
| No log | 1.7333 | 104 | 0.8799 | 0.4388 | 0.8799 | 0.9381 |
| No log | 1.7667 | 106 | 0.9705 | 0.4603 | 0.9705 | 0.9851 |
| No log | 1.8 | 108 | 1.0556 | 0.4704 | 1.0556 | 1.0274 |
| No log | 1.8333 | 110 | 1.0880 | 0.5436 | 1.0880 | 1.0431 |
| No log | 1.8667 | 112 | 1.0122 | 0.5186 | 1.0122 | 1.0061 |
| No log | 1.9 | 114 | 0.9915 | 0.4984 | 0.9915 | 0.9957 |
| No log | 1.9333 | 116 | 1.1116 | 0.3833 | 1.1116 | 1.0543 |
| No log | 1.9667 | 118 | 1.2304 | 0.4172 | 1.2304 | 1.1092 |
| No log | 2.0 | 120 | 1.3077 | 0.4044 | 1.3077 | 1.1435 |
| No log | 2.0333 | 122 | 1.2480 | 0.4597 | 1.2480 | 1.1171 |
| No log | 2.0667 | 124 | 1.0669 | 0.4825 | 1.0669 | 1.0329 |
| No log | 2.1 | 126 | 0.9540 | 0.5395 | 0.9540 | 0.9768 |
| No log | 2.1333 | 128 | 0.9475 | 0.5426 | 0.9475 | 0.9734 |
| No log | 2.1667 | 130 | 0.9365 | 0.5657 | 0.9365 | 0.9677 |
| No log | 2.2 | 132 | 0.9874 | 0.5259 | 0.9874 | 0.9937 |
| No log | 2.2333 | 134 | 1.0212 | 0.5223 | 1.0212 | 1.0106 |
| No log | 2.2667 | 136 | 1.0032 | 0.5707 | 1.0032 | 1.0016 |
| No log | 2.3 | 138 | 1.0854 | 0.6287 | 1.0854 | 1.0418 |
| No log | 2.3333 | 140 | 1.0344 | 0.5914 | 1.0344 | 1.0170 |
| No log | 2.3667 | 142 | 1.1111 | 0.5121 | 1.1111 | 1.0541 |
| No log | 2.4 | 144 | 1.1555 | 0.4478 | 1.1555 | 1.0749 |
| No log | 2.4333 | 146 | 0.9960 | 0.5471 | 0.9960 | 0.9980 |
| No log | 2.4667 | 148 | 0.8927 | 0.5759 | 0.8927 | 0.9448 |
| No log | 2.5 | 150 | 0.8902 | 0.5965 | 0.8902 | 0.9435 |
| No log | 2.5333 | 152 | 0.8801 | 0.5821 | 0.8801 | 0.9381 |
| No log | 2.5667 | 154 | 0.9499 | 0.5561 | 0.9499 | 0.9747 |
| No log | 2.6 | 156 | 1.2169 | 0.4909 | 1.2169 | 1.1032 |
| No log | 2.6333 | 158 | 1.3956 | 0.4114 | 1.3956 | 1.1814 |
| No log | 2.6667 | 160 | 1.2422 | 0.4478 | 1.2422 | 1.1145 |
| No log | 2.7 | 162 | 1.0938 | 0.4803 | 1.0938 | 1.0458 |
| No log | 2.7333 | 164 | 1.0272 | 0.5475 | 1.0272 | 1.0135 |
| No log | 2.7667 | 166 | 1.0476 | 0.5526 | 1.0476 | 1.0235 |
| No log | 2.8 | 168 | 1.0094 | 0.5667 | 1.0094 | 1.0047 |
| No log | 2.8333 | 170 | 0.9531 | 0.5883 | 0.9531 | 0.9762 |
| No log | 2.8667 | 172 | 0.9949 | 0.5803 | 0.9949 | 0.9974 |
| No log | 2.9 | 174 | 1.1388 | 0.5124 | 1.1388 | 1.0672 |
| No log | 2.9333 | 176 | 1.1854 | 0.4931 | 1.1854 | 1.0888 |
| No log | 2.9667 | 178 | 1.2880 | 0.4596 | 1.2880 | 1.1349 |
| No log | 3.0 | 180 | 1.2455 | 0.4693 | 1.2455 | 1.1160 |
| No log | 3.0333 | 182 | 1.0363 | 0.4651 | 1.0363 | 1.0180 |
| No log | 3.0667 | 184 | 0.9550 | 0.4996 | 0.9550 | 0.9772 |
| No log | 3.1 | 186 | 0.9061 | 0.5434 | 0.9061 | 0.9519 |
| No log | 3.1333 | 188 | 0.8685 | 0.6147 | 0.8685 | 0.9319 |
| No log | 3.1667 | 190 | 0.9094 | 0.5974 | 0.9094 | 0.9536 |
| No log | 3.2 | 192 | 0.9329 | 0.5987 | 0.9329 | 0.9659 |
| No log | 3.2333 | 194 | 0.9857 | 0.5789 | 0.9857 | 0.9928 |
| No log | 3.2667 | 196 | 1.1083 | 0.4866 | 1.1083 | 1.0528 |
| No log | 3.3 | 198 | 1.1447 | 0.4669 | 1.1447 | 1.0699 |
| No log | 3.3333 | 200 | 1.2552 | 0.4432 | 1.2552 | 1.1204 |
| No log | 3.3667 | 202 | 1.4397 | 0.3795 | 1.4397 | 1.1999 |
| No log | 3.4 | 204 | 1.4493 | 0.3747 | 1.4493 | 1.2039 |
| No log | 3.4333 | 206 | 1.4408 | 0.3749 | 1.4408 | 1.2004 |
| No log | 3.4667 | 208 | 1.2882 | 0.4461 | 1.2882 | 1.1350 |
| No log | 3.5 | 210 | 1.0858 | 0.5341 | 1.0858 | 1.0420 |
| No log | 3.5333 | 212 | 1.0172 | 0.5560 | 1.0172 | 1.0086 |
| No log | 3.5667 | 214 | 1.1105 | 0.5219 | 1.1105 | 1.0538 |
| No log | 3.6 | 216 | 1.3683 | 0.4192 | 1.3683 | 1.1697 |
| No log | 3.6333 | 218 | 1.6162 | 0.3729 | 1.6162 | 1.2713 |
| No log | 3.6667 | 220 | 1.5219 | 0.3745 | 1.5219 | 1.2337 |
| No log | 3.7 | 222 | 1.2989 | 0.4096 | 1.2989 | 1.1397 |
| No log | 3.7333 | 224 | 1.0617 | 0.5503 | 1.0617 | 1.0304 |
| No log | 3.7667 | 226 | 0.9879 | 0.5536 | 0.9879 | 0.9939 |
| No log | 3.8 | 228 | 0.9743 | 0.5686 | 0.9743 | 0.9871 |
| No log | 3.8333 | 230 | 1.0670 | 0.4734 | 1.0670 | 1.0330 |
| No log | 3.8667 | 232 | 1.1813 | 0.4589 | 1.1813 | 1.0869 |
| No log | 3.9 | 234 | 1.3052 | 0.4230 | 1.3052 | 1.1425 |
| No log | 3.9333 | 236 | 1.2134 | 0.4399 | 1.2134 | 1.1016 |
| No log | 3.9667 | 238 | 1.0051 | 0.5816 | 1.0051 | 1.0025 |
| No log | 4.0 | 240 | 0.9370 | 0.5904 | 0.9370 | 0.9680 |
| No log | 4.0333 | 242 | 0.9689 | 0.5851 | 0.9689 | 0.9843 |
| No log | 4.0667 | 244 | 1.0269 | 0.5813 | 1.0269 | 1.0134 |
| No log | 4.1 | 246 | 1.0509 | 0.5241 | 1.0509 | 1.0251 |
| No log | 4.1333 | 248 | 1.0599 | 0.5180 | 1.0599 | 1.0295 |
| No log | 4.1667 | 250 | 0.9576 | 0.5755 | 0.9576 | 0.9786 |
| No log | 4.2 | 252 | 0.9337 | 0.6121 | 0.9337 | 0.9663 |
| No log | 4.2333 | 254 | 0.9225 | 0.6054 | 0.9225 | 0.9605 |
| No log | 4.2667 | 256 | 0.8667 | 0.6145 | 0.8667 | 0.9310 |
| No log | 4.3 | 258 | 0.7925 | 0.6231 | 0.7925 | 0.8902 |
| No log | 4.3333 | 260 | 0.7540 | 0.6209 | 0.7540 | 0.8683 |
| No log | 4.3667 | 262 | 0.7746 | 0.6059 | 0.7746 | 0.8801 |
| No log | 4.4 | 264 | 0.8221 | 0.6158 | 0.8221 | 0.9067 |
| No log | 4.4333 | 266 | 0.8787 | 0.6195 | 0.8787 | 0.9374 |
| No log | 4.4667 | 268 | 0.8463 | 0.6211 | 0.8463 | 0.9200 |
| No log | 4.5 | 270 | 0.7653 | 0.6859 | 0.7653 | 0.8748 |
| No log | 4.5333 | 272 | 0.7750 | 0.6683 | 0.7750 | 0.8804 |
| No log | 4.5667 | 274 | 0.8473 | 0.6102 | 0.8473 | 0.9205 |
| No log | 4.6 | 276 | 0.8815 | 0.5992 | 0.8815 | 0.9389 |
| No log | 4.6333 | 278 | 0.9120 | 0.6153 | 0.9120 | 0.9550 |
| No log | 4.6667 | 280 | 0.8537 | 0.6449 | 0.8537 | 0.9240 |
| No log | 4.7 | 282 | 0.8026 | 0.6500 | 0.8026 | 0.8959 |
| No log | 4.7333 | 284 | 0.7574 | 0.6477 | 0.7574 | 0.8703 |
| No log | 4.7667 | 286 | 0.7769 | 0.6471 | 0.7769 | 0.8814 |
| No log | 4.8 | 288 | 0.8168 | 0.6439 | 0.8168 | 0.9038 |
| No log | 4.8333 | 290 | 0.9024 | 0.6066 | 0.9024 | 0.9500 |
| No log | 4.8667 | 292 | 0.8622 | 0.6076 | 0.8622 | 0.9286 |
| No log | 4.9 | 294 | 0.7660 | 0.6372 | 0.7660 | 0.8752 |
| No log | 4.9333 | 296 | 0.7443 | 0.6543 | 0.7443 | 0.8627 |
| No log | 4.9667 | 298 | 0.7425 | 0.6544 | 0.7425 | 0.8617 |
| No log | 5.0 | 300 | 0.7720 | 0.6441 | 0.7720 | 0.8786 |
| No log | 5.0333 | 302 | 0.8326 | 0.6373 | 0.8326 | 0.9124 |
| No log | 5.0667 | 304 | 0.8845 | 0.6153 | 0.8845 | 0.9405 |
| No log | 5.1 | 306 | 0.9903 | 0.5654 | 0.9903 | 0.9952 |
| No log | 5.1333 | 308 | 0.9067 | 0.6065 | 0.9067 | 0.9522 |
| No log | 5.1667 | 310 | 0.8066 | 0.5799 | 0.8066 | 0.8981 |
| No log | 5.2 | 312 | 0.7946 | 0.5543 | 0.7946 | 0.8914 |
| No log | 5.2333 | 314 | 0.8176 | 0.5575 | 0.8176 | 0.9042 |
| No log | 5.2667 | 316 | 0.8707 | 0.5800 | 0.8707 | 0.9331 |
| No log | 5.3 | 318 | 0.9380 | 0.5757 | 0.9380 | 0.9685 |
| No log | 5.3333 | 320 | 0.9818 | 0.5577 | 0.9818 | 0.9908 |
| No log | 5.3667 | 322 | 0.9457 | 0.5767 | 0.9457 | 0.9725 |
| No log | 5.4 | 324 | 0.9052 | 0.5767 | 0.9052 | 0.9514 |
| No log | 5.4333 | 326 | 0.8924 | 0.5766 | 0.8924 | 0.9447 |
| No log | 5.4667 | 328 | 0.9600 | 0.5766 | 0.9600 | 0.9798 |
| No log | 5.5 | 330 | 1.1086 | 0.5180 | 1.1086 | 1.0529 |
| No log | 5.5333 | 332 | 1.2106 | 0.4881 | 1.2106 | 1.1003 |
| No log | 5.5667 | 334 | 1.1393 | 0.5007 | 1.1393 | 1.0674 |
| No log | 5.6 | 336 | 1.1309 | 0.5000 | 1.1309 | 1.0634 |
| No log | 5.6333 | 338 | 1.0937 | 0.5275 | 1.0937 | 1.0458 |
| No log | 5.6667 | 340 | 0.9838 | 0.5962 | 0.9838 | 0.9919 |
| No log | 5.7 | 342 | 0.8914 | 0.5546 | 0.8914 | 0.9441 |
| No log | 5.7333 | 344 | 0.8574 | 0.5799 | 0.8574 | 0.9260 |
| No log | 5.7667 | 346 | 0.7826 | 0.5813 | 0.7826 | 0.8846 |
| No log | 5.8 | 348 | 0.7483 | 0.5910 | 0.7483 | 0.8650 |
| No log | 5.8333 | 350 | 0.7621 | 0.5825 | 0.7621 | 0.8730 |
| No log | 5.8667 | 352 | 0.7923 | 0.6291 | 0.7923 | 0.8901 |
| No log | 5.9 | 354 | 0.7794 | 0.6072 | 0.7794 | 0.8829 |
| No log | 5.9333 | 356 | 0.7384 | 0.5681 | 0.7384 | 0.8593 |
| No log | 5.9667 | 358 | 0.7302 | 0.6033 | 0.7302 | 0.8545 |
| No log | 6.0 | 360 | 0.7517 | 0.5890 | 0.7517 | 0.8670 |
| No log | 6.0333 | 362 | 0.8548 | 0.6463 | 0.8548 | 0.9246 |
| No log | 6.0667 | 364 | 1.0534 | 0.5334 | 1.0534 | 1.0264 |
| No log | 6.1 | 366 | 1.0371 | 0.5444 | 1.0371 | 1.0184 |
| No log | 6.1333 | 368 | 0.8813 | 0.6032 | 0.8813 | 0.9388 |
| No log | 6.1667 | 370 | 0.7931 | 0.6225 | 0.7931 | 0.8905 |
| No log | 6.2 | 372 | 0.8094 | 0.6308 | 0.8094 | 0.8997 |
| No log | 6.2333 | 374 | 0.8731 | 0.5998 | 0.8731 | 0.9344 |
| No log | 6.2667 | 376 | 0.9330 | 0.5743 | 0.9330 | 0.9659 |
| No log | 6.3 | 378 | 0.9305 | 0.6088 | 0.9305 | 0.9646 |
| No log | 6.3333 | 380 | 0.8273 | 0.6453 | 0.8273 | 0.9096 |
| No log | 6.3667 | 382 | 0.8000 | 0.6526 | 0.8000 | 0.8944 |
| No log | 6.4 | 384 | 0.8430 | 0.6577 | 0.8430 | 0.9182 |
| No log | 6.4333 | 386 | 0.8189 | 0.6577 | 0.8189 | 0.9049 |
| No log | 6.4667 | 388 | 0.8390 | 0.6250 | 0.8390 | 0.9160 |
| No log | 6.5 | 390 | 0.8889 | 0.6120 | 0.8889 | 0.9428 |
| No log | 6.5333 | 392 | 0.9053 | 0.5966 | 0.9053 | 0.9515 |
| No log | 6.5667 | 394 | 0.8558 | 0.6234 | 0.8558 | 0.9251 |
| No log | 6.6 | 396 | 0.7812 | 0.6095 | 0.7812 | 0.8839 |
| No log | 6.6333 | 398 | 0.7599 | 0.6326 | 0.7599 | 0.8717 |
| No log | 6.6667 | 400 | 0.8036 | 0.6111 | 0.8036 | 0.8964 |
| No log | 6.7 | 402 | 0.9400 | 0.5944 | 0.9400 | 0.9696 |
| No log | 6.7333 | 404 | 1.0154 | 0.5658 | 1.0154 | 1.0077 |
| No log | 6.7667 | 406 | 0.9585 | 0.5777 | 0.9585 | 0.9790 |
| No log | 6.8 | 408 | 0.8436 | 0.6322 | 0.8436 | 0.9185 |
| No log | 6.8333 | 410 | 0.7772 | 0.6596 | 0.7772 | 0.8816 |
| No log | 6.8667 | 412 | 0.7920 | 0.6515 | 0.7920 | 0.8899 |
| No log | 6.9 | 414 | 0.8702 | 0.6315 | 0.8702 | 0.9329 |
| No log | 6.9333 | 416 | 0.9022 | 0.6199 | 0.9022 | 0.9499 |
| No log | 6.9667 | 418 | 0.8267 | 0.6156 | 0.8267 | 0.9092 |
| No log | 7.0 | 420 | 0.7523 | 0.5416 | 0.7523 | 0.8673 |
| No log | 7.0333 | 422 | 0.7504 | 0.5416 | 0.7504 | 0.8662 |
| No log | 7.0667 | 424 | 0.8135 | 0.6168 | 0.8135 | 0.9019 |
| No log | 7.1 | 426 | 0.9090 | 0.5835 | 0.9090 | 0.9534 |
| No log | 7.1333 | 428 | 0.9090 | 0.5899 | 0.9090 | 0.9534 |
| No log | 7.1667 | 430 | 0.8623 | 0.6047 | 0.8623 | 0.9286 |
| No log | 7.2 | 432 | 0.8941 | 0.6104 | 0.8941 | 0.9456 |
| No log | 7.2333 | 434 | 0.9555 | 0.6043 | 0.9555 | 0.9775 |
| No log | 7.2667 | 436 | 0.9912 | 0.5718 | 0.9912 | 0.9956 |
| No log | 7.3 | 438 | 0.9525 | 0.5869 | 0.9525 | 0.9760 |
| No log | 7.3333 | 440 | 0.9095 | 0.6104 | 0.9095 | 0.9537 |
| No log | 7.3667 | 442 | 0.8780 | 0.6064 | 0.8780 | 0.9370 |
| No log | 7.4 | 444 | 0.9823 | 0.5979 | 0.9823 | 0.9911 |
| No log | 7.4333 | 446 | 1.1313 | 0.5697 | 1.1313 | 1.0636 |
| No log | 7.4667 | 448 | 1.1320 | 0.5810 | 1.1320 | 1.0640 |
| No log | 7.5 | 450 | 1.0019 | 0.5935 | 1.0019 | 1.0009 |
| No log | 7.5333 | 452 | 0.7987 | 0.6054 | 0.7987 | 0.8937 |
| No log | 7.5667 | 454 | 0.7549 | 0.6304 | 0.7549 | 0.8688 |
| No log | 7.6 | 456 | 0.7768 | 0.6350 | 0.7768 | 0.8814 |
| No log | 7.6333 | 458 | 0.7783 | 0.6184 | 0.7783 | 0.8822 |
| No log | 7.6667 | 460 | 0.8233 | 0.6202 | 0.8233 | 0.9074 |
| No log | 7.7 | 462 | 0.9770 | 0.6119 | 0.9770 | 0.9885 |
| No log | 7.7333 | 464 | 1.0518 | 0.5839 | 1.0518 | 1.0256 |
| No log | 7.7667 | 466 | 0.9462 | 0.6108 | 0.9462 | 0.9727 |
| No log | 7.8 | 468 | 0.8150 | 0.5931 | 0.8150 | 0.9028 |
| No log | 7.8333 | 470 | 0.7618 | 0.6092 | 0.7618 | 0.8728 |
| No log | 7.8667 | 472 | 0.7594 | 0.6199 | 0.7594 | 0.8714 |
| No log | 7.9 | 474 | 0.7926 | 0.6410 | 0.7926 | 0.8903 |
| No log | 7.9333 | 476 | 0.8777 | 0.6013 | 0.8777 | 0.9368 |
| No log | 7.9667 | 478 | 0.9278 | 0.5912 | 0.9278 | 0.9632 |
| No log | 8.0 | 480 | 0.8515 | 0.5997 | 0.8515 | 0.9228 |
| No log | 8.0333 | 482 | 0.8198 | 0.5985 | 0.8198 | 0.9054 |
| No log | 8.0667 | 484 | 0.8268 | 0.5931 | 0.8268 | 0.9093 |
| No log | 8.1 | 486 | 0.8052 | 0.5985 | 0.8052 | 0.8973 |
| No log | 8.1333 | 488 | 0.8418 | 0.6012 | 0.8418 | 0.9175 |
| No log | 8.1667 | 490 | 0.9241 | 0.6013 | 0.9241 | 0.9613 |
| No log | 8.2 | 492 | 1.0282 | 0.5537 | 1.0282 | 1.0140 |
| No log | 8.2333 | 494 | 0.9818 | 0.6041 | 0.9818 | 0.9909 |
| No log | 8.2667 | 496 | 0.9677 | 0.5944 | 0.9677 | 0.9837 |
| No log | 8.3 | 498 | 0.9048 | 0.6188 | 0.9048 | 0.9512 |
| 0.4674 | 8.3333 | 500 | 0.9231 | 0.6089 | 0.9231 | 0.9608 |
| 0.4674 | 8.3667 | 502 | 0.9415 | 0.6004 | 0.9415 | 0.9703 |
| 0.4674 | 8.4 | 504 | 0.9027 | 0.6039 | 0.9027 | 0.9501 |
| 0.4674 | 8.4333 | 506 | 0.8482 | 0.6227 | 0.8482 | 0.9210 |
| 0.4674 | 8.4667 | 508 | 0.8269 | 0.6445 | 0.8269 | 0.9094 |
| 0.4674 | 8.5 | 510 | 0.9067 | 0.5972 | 0.9067 | 0.9522 |
| 0.4674 | 8.5333 | 512 | 0.9556 | 0.5644 | 0.9556 | 0.9775 |
| 0.4674 | 8.5667 | 514 | 1.0566 | 0.5560 | 1.0566 | 1.0279 |
| 0.4674 | 8.6 | 516 | 1.0798 | 0.5324 | 1.0798 | 1.0392 |
| 0.4674 | 8.6333 | 518 | 1.0406 | 0.5384 | 1.0406 | 1.0201 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02