Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_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: 1.0436
- Qwk: 0.6327
- Mse: 1.0436
- Rmse: 1.0215
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0303 | 2 | 2.4066 | 0.0274 | 2.4066 | 1.5513 |
| No log | 0.0606 | 4 | 1.5947 | 0.1321 | 1.5947 | 1.2628 |
| No log | 0.0909 | 6 | 1.4758 | 0.1051 | 1.4758 | 1.2148 |
| No log | 0.1212 | 8 | 1.5688 | 0.1310 | 1.5688 | 1.2525 |
| No log | 0.1515 | 10 | 1.8281 | 0.2989 | 1.8281 | 1.3521 |
| No log | 0.1818 | 12 | 1.9980 | 0.2545 | 1.9980 | 1.4135 |
| No log | 0.2121 | 14 | 1.9602 | 0.2614 | 1.9602 | 1.4001 |
| No log | 0.2424 | 16 | 1.6637 | 0.2125 | 1.6637 | 1.2899 |
| No log | 0.2727 | 18 | 1.6812 | 0.2574 | 1.6812 | 1.2966 |
| No log | 0.3030 | 20 | 1.6703 | 0.2606 | 1.6703 | 1.2924 |
| No log | 0.3333 | 22 | 1.6939 | 0.2785 | 1.6939 | 1.3015 |
| No log | 0.3636 | 24 | 1.4817 | 0.3054 | 1.4817 | 1.2173 |
| No log | 0.3939 | 26 | 1.2738 | 0.3409 | 1.2738 | 1.1286 |
| No log | 0.4242 | 28 | 1.3185 | 0.3139 | 1.3185 | 1.1483 |
| No log | 0.4545 | 30 | 1.5351 | 0.3145 | 1.5351 | 1.2390 |
| No log | 0.4848 | 32 | 1.6567 | 0.2731 | 1.6567 | 1.2871 |
| No log | 0.5152 | 34 | 1.6203 | 0.2735 | 1.6203 | 1.2729 |
| No log | 0.5455 | 36 | 1.5566 | 0.1901 | 1.5566 | 1.2476 |
| No log | 0.5758 | 38 | 1.7141 | 0.2857 | 1.7141 | 1.3092 |
| No log | 0.6061 | 40 | 1.6657 | 0.2366 | 1.6657 | 1.2906 |
| No log | 0.6364 | 42 | 1.5587 | 0.1449 | 1.5587 | 1.2485 |
| No log | 0.6667 | 44 | 1.5400 | 0.1191 | 1.5400 | 1.2410 |
| No log | 0.6970 | 46 | 1.5437 | 0.1445 | 1.5437 | 1.2424 |
| No log | 0.7273 | 48 | 1.5842 | 0.2178 | 1.5842 | 1.2586 |
| No log | 0.7576 | 50 | 1.6417 | 0.2652 | 1.6417 | 1.2813 |
| No log | 0.7879 | 52 | 1.6034 | 0.3504 | 1.6034 | 1.2662 |
| No log | 0.8182 | 54 | 1.5313 | 0.3977 | 1.5313 | 1.2374 |
| No log | 0.8485 | 56 | 1.6738 | 0.4583 | 1.6738 | 1.2937 |
| No log | 0.8788 | 58 | 2.1378 | 0.3268 | 2.1378 | 1.4621 |
| No log | 0.9091 | 60 | 1.9833 | 0.3721 | 1.9833 | 1.4083 |
| No log | 0.9394 | 62 | 1.5180 | 0.4602 | 1.5180 | 1.2321 |
| No log | 0.9697 | 64 | 1.6370 | 0.4570 | 1.6370 | 1.2795 |
| No log | 1.0 | 66 | 1.8200 | 0.4356 | 1.8200 | 1.3491 |
| No log | 1.0303 | 68 | 1.7320 | 0.4579 | 1.7320 | 1.3161 |
| No log | 1.0606 | 70 | 1.3640 | 0.4887 | 1.3640 | 1.1679 |
| No log | 1.0909 | 72 | 1.4280 | 0.5044 | 1.4280 | 1.1950 |
| No log | 1.1212 | 74 | 1.5068 | 0.5126 | 1.5068 | 1.2275 |
| No log | 1.1515 | 76 | 1.5370 | 0.5383 | 1.5370 | 1.2398 |
| No log | 1.1818 | 78 | 1.7418 | 0.4739 | 1.7418 | 1.3198 |
| No log | 1.2121 | 80 | 2.0404 | 0.4604 | 2.0404 | 1.4284 |
| No log | 1.2424 | 82 | 2.5647 | 0.4368 | 2.5647 | 1.6015 |
| No log | 1.2727 | 84 | 2.0235 | 0.4622 | 2.0235 | 1.4225 |
| No log | 1.3030 | 86 | 1.3508 | 0.5484 | 1.3508 | 1.1622 |
| No log | 1.3333 | 88 | 1.6219 | 0.5146 | 1.6219 | 1.2735 |
| No log | 1.3636 | 90 | 2.3841 | 0.4501 | 2.3841 | 1.5441 |
| No log | 1.3939 | 92 | 1.9903 | 0.4788 | 1.9903 | 1.4108 |
| No log | 1.4242 | 94 | 1.2909 | 0.5777 | 1.2909 | 1.1362 |
| No log | 1.4545 | 96 | 1.2980 | 0.5777 | 1.2980 | 1.1393 |
| No log | 1.4848 | 98 | 1.2780 | 0.5714 | 1.2780 | 1.1305 |
| No log | 1.5152 | 100 | 1.7597 | 0.4891 | 1.7597 | 1.3265 |
| No log | 1.5455 | 102 | 1.9057 | 0.4817 | 1.9057 | 1.3805 |
| No log | 1.5758 | 104 | 1.3073 | 0.5518 | 1.3073 | 1.1434 |
| No log | 1.6061 | 106 | 1.1832 | 0.5471 | 1.1832 | 1.0878 |
| No log | 1.6364 | 108 | 1.6721 | 0.5316 | 1.6721 | 1.2931 |
| No log | 1.6667 | 110 | 1.7442 | 0.5271 | 1.7442 | 1.3207 |
| No log | 1.6970 | 112 | 1.7155 | 0.5322 | 1.7155 | 1.3098 |
| No log | 1.7273 | 114 | 1.0653 | 0.6252 | 1.0653 | 1.0321 |
| No log | 1.7576 | 116 | 0.9416 | 0.6477 | 0.9416 | 0.9704 |
| No log | 1.7879 | 118 | 1.2564 | 0.5802 | 1.2564 | 1.1209 |
| No log | 1.8182 | 120 | 1.5964 | 0.5427 | 1.5964 | 1.2635 |
| No log | 1.8485 | 122 | 1.5727 | 0.5497 | 1.5727 | 1.2541 |
| No log | 1.8788 | 124 | 1.2319 | 0.5725 | 1.2319 | 1.1099 |
| No log | 1.9091 | 126 | 1.1833 | 0.5902 | 1.1833 | 1.0878 |
| No log | 1.9394 | 128 | 1.2849 | 0.5668 | 1.2849 | 1.1335 |
| No log | 1.9697 | 130 | 1.0475 | 0.6393 | 1.0475 | 1.0235 |
| No log | 2.0 | 132 | 1.1129 | 0.6017 | 1.1129 | 1.0549 |
| No log | 2.0303 | 134 | 1.4346 | 0.5596 | 1.4346 | 1.1978 |
| No log | 2.0606 | 136 | 1.5580 | 0.5636 | 1.5580 | 1.2482 |
| No log | 2.0909 | 138 | 1.4519 | 0.5709 | 1.4519 | 1.2050 |
| No log | 2.1212 | 140 | 1.4508 | 0.5797 | 1.4508 | 1.2045 |
| No log | 2.1515 | 142 | 1.0782 | 0.6339 | 1.0782 | 1.0383 |
| No log | 2.1818 | 144 | 1.0630 | 0.6149 | 1.0630 | 1.0310 |
| No log | 2.2121 | 146 | 1.5102 | 0.5554 | 1.5102 | 1.2289 |
| No log | 2.2424 | 148 | 1.9046 | 0.5108 | 1.9046 | 1.3801 |
| No log | 2.2727 | 150 | 1.8271 | 0.5163 | 1.8271 | 1.3517 |
| No log | 2.3030 | 152 | 1.4498 | 0.5585 | 1.4498 | 1.2041 |
| No log | 2.3333 | 154 | 1.0214 | 0.5530 | 1.0214 | 1.0106 |
| No log | 2.3636 | 156 | 1.0129 | 0.5744 | 1.0129 | 1.0064 |
| No log | 2.3939 | 158 | 1.2465 | 0.5613 | 1.2465 | 1.1165 |
| No log | 2.4242 | 160 | 1.4240 | 0.5525 | 1.4240 | 1.1933 |
| No log | 2.4545 | 162 | 1.0943 | 0.5701 | 1.0943 | 1.0461 |
| No log | 2.4848 | 164 | 1.0090 | 0.5897 | 1.0090 | 1.0045 |
| No log | 2.5152 | 166 | 0.8865 | 0.6319 | 0.8865 | 0.9415 |
| No log | 2.5455 | 168 | 0.8500 | 0.6472 | 0.8500 | 0.9220 |
| No log | 2.5758 | 170 | 0.8315 | 0.6272 | 0.8315 | 0.9118 |
| No log | 2.6061 | 172 | 1.0508 | 0.6019 | 1.0508 | 1.0251 |
| No log | 2.6364 | 174 | 1.2866 | 0.5758 | 1.2866 | 1.1343 |
| No log | 2.6667 | 176 | 1.1158 | 0.6144 | 1.1158 | 1.0563 |
| No log | 2.6970 | 178 | 0.8716 | 0.6192 | 0.8716 | 0.9336 |
| No log | 2.7273 | 180 | 0.8619 | 0.6192 | 0.8619 | 0.9284 |
| No log | 2.7576 | 182 | 1.0189 | 0.6078 | 1.0189 | 1.0094 |
| No log | 2.7879 | 184 | 1.1479 | 0.5791 | 1.1479 | 1.0714 |
| No log | 2.8182 | 186 | 1.1976 | 0.5266 | 1.1976 | 1.0943 |
| No log | 2.8485 | 188 | 1.1821 | 0.5499 | 1.1821 | 1.0873 |
| No log | 2.8788 | 190 | 1.2578 | 0.5298 | 1.2578 | 1.1215 |
| No log | 2.9091 | 192 | 1.2825 | 0.5487 | 1.2825 | 1.1325 |
| No log | 2.9394 | 194 | 1.1864 | 0.5648 | 1.1864 | 1.0892 |
| No log | 2.9697 | 196 | 1.2845 | 0.5768 | 1.2845 | 1.1334 |
| No log | 3.0 | 198 | 1.2074 | 0.5798 | 1.2074 | 1.0988 |
| No log | 3.0303 | 200 | 1.0260 | 0.6110 | 1.0260 | 1.0129 |
| No log | 3.0606 | 202 | 0.9470 | 0.6131 | 0.9470 | 0.9732 |
| No log | 3.0909 | 204 | 0.9759 | 0.6179 | 0.9759 | 0.9879 |
| No log | 3.1212 | 206 | 1.2519 | 0.5999 | 1.2519 | 1.1189 |
| No log | 3.1515 | 208 | 1.2657 | 0.6026 | 1.2657 | 1.1250 |
| No log | 3.1818 | 210 | 1.2066 | 0.6064 | 1.2066 | 1.0985 |
| No log | 3.2121 | 212 | 1.0579 | 0.6261 | 1.0579 | 1.0285 |
| No log | 3.2424 | 214 | 1.0621 | 0.6174 | 1.0621 | 1.0306 |
| No log | 3.2727 | 216 | 1.0468 | 0.6189 | 1.0468 | 1.0231 |
| No log | 3.3030 | 218 | 1.1228 | 0.5888 | 1.1228 | 1.0596 |
| No log | 3.3333 | 220 | 1.1781 | 0.5910 | 1.1781 | 1.0854 |
| No log | 3.3636 | 222 | 0.9836 | 0.6088 | 0.9836 | 0.9918 |
| No log | 3.3939 | 224 | 1.0044 | 0.6088 | 1.0044 | 1.0022 |
| No log | 3.4242 | 226 | 1.1601 | 0.6120 | 1.1601 | 1.0771 |
| No log | 3.4545 | 228 | 1.1965 | 0.6212 | 1.1965 | 1.0938 |
| No log | 3.4848 | 230 | 1.2602 | 0.6312 | 1.2602 | 1.1226 |
| No log | 3.5152 | 232 | 1.0079 | 0.6279 | 1.0079 | 1.0039 |
| No log | 3.5455 | 234 | 0.9172 | 0.6326 | 0.9172 | 0.9577 |
| No log | 3.5758 | 236 | 0.9402 | 0.6177 | 0.9402 | 0.9696 |
| No log | 3.6061 | 238 | 0.9757 | 0.5865 | 0.9757 | 0.9878 |
| No log | 3.6364 | 240 | 1.0011 | 0.5945 | 1.0011 | 1.0005 |
| No log | 3.6667 | 242 | 0.9808 | 0.5779 | 0.9808 | 0.9903 |
| No log | 3.6970 | 244 | 0.8473 | 0.6114 | 0.8473 | 0.9205 |
| No log | 3.7273 | 246 | 0.7846 | 0.6340 | 0.7846 | 0.8858 |
| No log | 3.7576 | 248 | 0.8407 | 0.5959 | 0.8407 | 0.9169 |
| No log | 3.7879 | 250 | 1.0791 | 0.5960 | 1.0791 | 1.0388 |
| No log | 3.8182 | 252 | 1.2478 | 0.6120 | 1.2478 | 1.1171 |
| No log | 3.8485 | 254 | 1.0486 | 0.6145 | 1.0487 | 1.0240 |
| No log | 3.8788 | 256 | 0.9540 | 0.6304 | 0.9540 | 0.9767 |
| No log | 3.9091 | 258 | 0.8611 | 0.6513 | 0.8611 | 0.9279 |
| No log | 3.9394 | 260 | 0.9573 | 0.6583 | 0.9573 | 0.9784 |
| No log | 3.9697 | 262 | 1.1859 | 0.6188 | 1.1859 | 1.0890 |
| No log | 4.0 | 264 | 1.1760 | 0.6088 | 1.1760 | 1.0844 |
| No log | 4.0303 | 266 | 1.0011 | 0.6209 | 1.0011 | 1.0005 |
| No log | 4.0606 | 268 | 0.9283 | 0.6052 | 0.9283 | 0.9635 |
| No log | 4.0909 | 270 | 1.0210 | 0.6072 | 1.0210 | 1.0104 |
| No log | 4.1212 | 272 | 1.0335 | 0.6189 | 1.0335 | 1.0166 |
| No log | 4.1515 | 274 | 1.0780 | 0.6347 | 1.0780 | 1.0383 |
| No log | 4.1818 | 276 | 0.9830 | 0.6463 | 0.9830 | 0.9915 |
| No log | 4.2121 | 278 | 0.8171 | 0.6633 | 0.8171 | 0.9039 |
| No log | 4.2424 | 280 | 0.7540 | 0.6836 | 0.7540 | 0.8683 |
| No log | 4.2727 | 282 | 0.8210 | 0.6651 | 0.8210 | 0.9061 |
| No log | 4.3030 | 284 | 1.0427 | 0.6498 | 1.0427 | 1.0211 |
| No log | 4.3333 | 286 | 1.3872 | 0.6013 | 1.3872 | 1.1778 |
| No log | 4.3636 | 288 | 1.3940 | 0.5937 | 1.3940 | 1.1807 |
| No log | 4.3939 | 290 | 1.1318 | 0.6166 | 1.1318 | 1.0639 |
| No log | 4.4242 | 292 | 1.0764 | 0.6208 | 1.0764 | 1.0375 |
| No log | 4.4545 | 294 | 1.1893 | 0.6172 | 1.1893 | 1.0906 |
| No log | 4.4848 | 296 | 1.1251 | 0.6240 | 1.1251 | 1.0607 |
| No log | 4.5152 | 298 | 1.1781 | 0.6157 | 1.1781 | 1.0854 |
| No log | 4.5455 | 300 | 1.4131 | 0.5521 | 1.4131 | 1.1888 |
| No log | 4.5758 | 302 | 1.4370 | 0.5356 | 1.4370 | 1.1988 |
| No log | 4.6061 | 304 | 1.3310 | 0.5570 | 1.3310 | 1.1537 |
| No log | 4.6364 | 306 | 1.3793 | 0.5591 | 1.3793 | 1.1744 |
| No log | 4.6667 | 308 | 1.3643 | 0.5630 | 1.3643 | 1.1680 |
| No log | 4.6970 | 310 | 1.3146 | 0.5870 | 1.3146 | 1.1466 |
| No log | 4.7273 | 312 | 1.1259 | 0.6172 | 1.1259 | 1.0611 |
| No log | 4.7576 | 314 | 1.0732 | 0.6172 | 1.0732 | 1.0359 |
| No log | 4.7879 | 316 | 1.1633 | 0.6009 | 1.1633 | 1.0786 |
| No log | 4.8182 | 318 | 1.3270 | 0.5885 | 1.3270 | 1.1520 |
| No log | 4.8485 | 320 | 1.3542 | 0.5657 | 1.3542 | 1.1637 |
| No log | 4.8788 | 322 | 1.2043 | 0.5942 | 1.2043 | 1.0974 |
| No log | 4.9091 | 324 | 1.0099 | 0.6060 | 1.0099 | 1.0050 |
| No log | 4.9394 | 326 | 0.9687 | 0.6389 | 0.9687 | 0.9842 |
| No log | 4.9697 | 328 | 1.1282 | 0.6187 | 1.1282 | 1.0622 |
| No log | 5.0 | 330 | 1.3374 | 0.5926 | 1.3374 | 1.1565 |
| No log | 5.0303 | 332 | 1.4932 | 0.5531 | 1.4932 | 1.2220 |
| No log | 5.0606 | 334 | 1.3707 | 0.5908 | 1.3707 | 1.1708 |
| No log | 5.0909 | 336 | 1.1257 | 0.6178 | 1.1257 | 1.0610 |
| No log | 5.1212 | 338 | 1.0376 | 0.6322 | 1.0376 | 1.0186 |
| No log | 5.1515 | 340 | 1.0457 | 0.6143 | 1.0457 | 1.0226 |
| No log | 5.1818 | 342 | 1.1633 | 0.6031 | 1.1633 | 1.0786 |
| No log | 5.2121 | 344 | 1.3033 | 0.5737 | 1.3033 | 1.1416 |
| No log | 5.2424 | 346 | 1.4166 | 0.5719 | 1.4166 | 1.1902 |
| No log | 5.2727 | 348 | 1.2940 | 0.5777 | 1.2940 | 1.1375 |
| No log | 5.3030 | 350 | 1.2081 | 0.5857 | 1.2081 | 1.0991 |
| No log | 5.3333 | 352 | 1.2592 | 0.5747 | 1.2592 | 1.1222 |
| No log | 5.3636 | 354 | 1.1711 | 0.6122 | 1.1711 | 1.0822 |
| No log | 5.3939 | 356 | 1.0522 | 0.6252 | 1.0522 | 1.0258 |
| No log | 5.4242 | 358 | 1.0478 | 0.6266 | 1.0478 | 1.0236 |
| No log | 5.4545 | 360 | 1.1070 | 0.6299 | 1.1070 | 1.0522 |
| No log | 5.4848 | 362 | 1.1079 | 0.6450 | 1.1079 | 1.0526 |
| No log | 5.5152 | 364 | 0.9972 | 0.6302 | 0.9972 | 0.9986 |
| No log | 5.5455 | 366 | 0.9334 | 0.6208 | 0.9334 | 0.9661 |
| No log | 5.5758 | 368 | 0.9490 | 0.6397 | 0.9490 | 0.9742 |
| No log | 5.6061 | 370 | 0.8920 | 0.6361 | 0.8920 | 0.9445 |
| No log | 5.6364 | 372 | 0.9219 | 0.6270 | 0.9219 | 0.9602 |
| No log | 5.6667 | 374 | 1.0200 | 0.6262 | 1.0200 | 1.0100 |
| No log | 5.6970 | 376 | 1.1093 | 0.6210 | 1.1093 | 1.0532 |
| No log | 5.7273 | 378 | 1.0209 | 0.6308 | 1.0209 | 1.0104 |
| No log | 5.7576 | 380 | 0.9062 | 0.6327 | 0.9062 | 0.9520 |
| No log | 5.7879 | 382 | 0.8543 | 0.6387 | 0.8543 | 0.9243 |
| No log | 5.8182 | 384 | 0.8510 | 0.6511 | 0.8510 | 0.9225 |
| No log | 5.8485 | 386 | 0.8745 | 0.6387 | 0.8745 | 0.9352 |
| No log | 5.8788 | 388 | 0.9735 | 0.6414 | 0.9735 | 0.9867 |
| No log | 5.9091 | 390 | 1.0291 | 0.6311 | 1.0291 | 1.0144 |
| No log | 5.9394 | 392 | 1.0350 | 0.6270 | 1.0350 | 1.0174 |
| No log | 5.9697 | 394 | 0.9817 | 0.6429 | 0.9817 | 0.9908 |
| No log | 6.0 | 396 | 0.8274 | 0.6403 | 0.8274 | 0.9096 |
| No log | 6.0303 | 398 | 0.7928 | 0.6759 | 0.7928 | 0.8904 |
| No log | 6.0606 | 400 | 0.8533 | 0.6467 | 0.8533 | 0.9237 |
| No log | 6.0909 | 402 | 0.9759 | 0.6241 | 0.9759 | 0.9879 |
| No log | 6.1212 | 404 | 1.0926 | 0.6099 | 1.0926 | 1.0453 |
| No log | 6.1515 | 406 | 1.0505 | 0.6079 | 1.0505 | 1.0250 |
| No log | 6.1818 | 408 | 0.9460 | 0.6168 | 0.9460 | 0.9726 |
| No log | 6.2121 | 410 | 0.8855 | 0.6224 | 0.8855 | 0.9410 |
| No log | 6.2424 | 412 | 0.8997 | 0.6147 | 0.8997 | 0.9485 |
| No log | 6.2727 | 414 | 1.0032 | 0.6321 | 1.0032 | 1.0016 |
| No log | 6.3030 | 416 | 1.0549 | 0.6236 | 1.0549 | 1.0271 |
| No log | 6.3333 | 418 | 1.1682 | 0.6360 | 1.1682 | 1.0808 |
| No log | 6.3636 | 420 | 1.1475 | 0.6293 | 1.1475 | 1.0712 |
| No log | 6.3939 | 422 | 1.1524 | 0.6172 | 1.1524 | 1.0735 |
| No log | 6.4242 | 424 | 1.1904 | 0.6178 | 1.1904 | 1.0911 |
| No log | 6.4545 | 426 | 1.1156 | 0.6159 | 1.1156 | 1.0562 |
| No log | 6.4848 | 428 | 1.0286 | 0.6138 | 1.0286 | 1.0142 |
| No log | 6.5152 | 430 | 0.9471 | 0.6286 | 0.9471 | 0.9732 |
| No log | 6.5455 | 432 | 0.9384 | 0.6235 | 0.9384 | 0.9687 |
| No log | 6.5758 | 434 | 0.9911 | 0.6057 | 0.9911 | 0.9955 |
| No log | 6.6061 | 436 | 0.9767 | 0.6237 | 0.9767 | 0.9883 |
| No log | 6.6364 | 438 | 0.9469 | 0.6186 | 0.9469 | 0.9731 |
| No log | 6.6667 | 440 | 1.0074 | 0.6342 | 1.0074 | 1.0037 |
| No log | 6.6970 | 442 | 0.9930 | 0.6295 | 0.9930 | 0.9965 |
| No log | 6.7273 | 444 | 1.0302 | 0.6133 | 1.0302 | 1.0150 |
| No log | 6.7576 | 446 | 1.1036 | 0.6047 | 1.1036 | 1.0505 |
| No log | 6.7879 | 448 | 1.1197 | 0.5948 | 1.1197 | 1.0582 |
| No log | 6.8182 | 450 | 1.1896 | 0.5826 | 1.1896 | 1.0907 |
| No log | 6.8485 | 452 | 1.1683 | 0.5836 | 1.1683 | 1.0809 |
| No log | 6.8788 | 454 | 1.2332 | 0.5747 | 1.2332 | 1.1105 |
| No log | 6.9091 | 456 | 1.2405 | 0.5747 | 1.2405 | 1.1138 |
| No log | 6.9394 | 458 | 1.1612 | 0.5786 | 1.1612 | 1.0776 |
| No log | 6.9697 | 460 | 1.0662 | 0.6211 | 1.0662 | 1.0326 |
| No log | 7.0 | 462 | 0.9972 | 0.6275 | 0.9972 | 0.9986 |
| No log | 7.0303 | 464 | 0.9895 | 0.6345 | 0.9895 | 0.9947 |
| No log | 7.0606 | 466 | 1.0953 | 0.6250 | 1.0953 | 1.0465 |
| No log | 7.0909 | 468 | 1.2451 | 0.5960 | 1.2451 | 1.1158 |
| No log | 7.1212 | 470 | 1.3166 | 0.5765 | 1.3166 | 1.1474 |
| No log | 7.1515 | 472 | 1.2742 | 0.5843 | 1.2742 | 1.1288 |
| No log | 7.1818 | 474 | 1.1382 | 0.5974 | 1.1382 | 1.0669 |
| No log | 7.2121 | 476 | 0.9969 | 0.6255 | 0.9969 | 0.9985 |
| No log | 7.2424 | 478 | 0.8995 | 0.6343 | 0.8995 | 0.9484 |
| No log | 7.2727 | 480 | 0.8566 | 0.6467 | 0.8566 | 0.9255 |
| No log | 7.3030 | 482 | 0.8883 | 0.6343 | 0.8883 | 0.9425 |
| No log | 7.3333 | 484 | 0.9987 | 0.6385 | 0.9987 | 0.9993 |
| No log | 7.3636 | 486 | 1.1652 | 0.6160 | 1.1652 | 1.0794 |
| No log | 7.3939 | 488 | 1.3631 | 0.5755 | 1.3631 | 1.1675 |
| No log | 7.4242 | 490 | 1.4311 | 0.5663 | 1.4311 | 1.1963 |
| No log | 7.4545 | 492 | 1.3548 | 0.5830 | 1.3548 | 1.1639 |
| No log | 7.4848 | 494 | 1.2035 | 0.6010 | 1.2035 | 1.0970 |
| No log | 7.5152 | 496 | 1.0416 | 0.6297 | 1.0416 | 1.0206 |
| No log | 7.5455 | 498 | 0.9315 | 0.6385 | 0.9315 | 0.9651 |
| 0.3312 | 7.5758 | 500 | 0.9120 | 0.6467 | 0.9120 | 0.9550 |
| 0.3312 | 7.6061 | 502 | 0.9377 | 0.6175 | 0.9377 | 0.9683 |
| 0.3312 | 7.6364 | 504 | 1.0279 | 0.6041 | 1.0279 | 1.0139 |
| 0.3312 | 7.6667 | 506 | 1.1858 | 0.5756 | 1.1858 | 1.0889 |
| 0.3312 | 7.6970 | 508 | 1.3264 | 0.5659 | 1.3264 | 1.1517 |
| 0.3312 | 7.7273 | 510 | 1.3579 | 0.5659 | 1.3579 | 1.1653 |
| 0.3312 | 7.7576 | 512 | 1.2918 | 0.5659 | 1.2918 | 1.1366 |
| 0.3312 | 7.7879 | 514 | 1.1565 | 0.5777 | 1.1565 | 1.0754 |
| 0.3312 | 7.8182 | 516 | 1.0000 | 0.6067 | 1.0000 | 1.0000 |
| 0.3312 | 7.8485 | 518 | 0.9242 | 0.6349 | 0.9242 | 0.9613 |
| 0.3312 | 7.8788 | 520 | 0.9121 | 0.6349 | 0.9121 | 0.9551 |
| 0.3312 | 7.9091 | 522 | 0.9534 | 0.6240 | 0.9534 | 0.9764 |
| 0.3312 | 7.9394 | 524 | 1.0493 | 0.5970 | 1.0493 | 1.0243 |
| 0.3312 | 7.9697 | 526 | 1.1561 | 0.5848 | 1.1561 | 1.0752 |
| 0.3312 | 8.0 | 528 | 1.1981 | 0.5786 | 1.1981 | 1.0946 |
| 0.3312 | 8.0303 | 530 | 1.1802 | 0.5866 | 1.1802 | 1.0863 |
| 0.3312 | 8.0606 | 532 | 1.1605 | 0.5866 | 1.1605 | 1.0773 |
| 0.3312 | 8.0909 | 534 | 1.1442 | 0.5866 | 1.1442 | 1.0697 |
| 0.3312 | 8.1212 | 536 | 1.1279 | 0.5848 | 1.1279 | 1.0620 |
| 0.3312 | 8.1515 | 538 | 1.0836 | 0.6079 | 1.0836 | 1.0410 |
| 0.3312 | 8.1818 | 540 | 1.0766 | 0.6009 | 1.0766 | 1.0376 |
| 0.3312 | 8.2121 | 542 | 1.1279 | 0.5930 | 1.1279 | 1.0620 |
| 0.3312 | 8.2424 | 544 | 1.1973 | 0.5954 | 1.1973 | 1.0942 |
| 0.3312 | 8.2727 | 546 | 1.1986 | 0.5845 | 1.1986 | 1.0948 |
| 0.3312 | 8.3030 | 548 | 1.1872 | 0.5786 | 1.1872 | 1.0896 |
| 0.3312 | 8.3333 | 550 | 1.1583 | 0.5673 | 1.1583 | 1.0763 |
| 0.3312 | 8.3636 | 552 | 1.1102 | 0.5949 | 1.1102 | 1.0537 |
| 0.3312 | 8.3939 | 554 | 1.0566 | 0.5961 | 1.0566 | 1.0279 |
| 0.3312 | 8.4242 | 556 | 1.0631 | 0.5961 | 1.0631 | 1.0311 |
| 0.3312 | 8.4545 | 558 | 1.1162 | 0.5863 | 1.1162 | 1.0565 |
| 0.3312 | 8.4848 | 560 | 1.1526 | 0.5828 | 1.1526 | 1.0736 |
| 0.3312 | 8.5152 | 562 | 1.1598 | 0.5828 | 1.1598 | 1.0769 |
| 0.3312 | 8.5455 | 564 | 1.1521 | 0.5828 | 1.1521 | 1.0734 |
| 0.3312 | 8.5758 | 566 | 1.1782 | 0.5919 | 1.1782 | 1.0854 |
| 0.3312 | 8.6061 | 568 | 1.2174 | 0.5845 | 1.2174 | 1.1034 |
| 0.3312 | 8.6364 | 570 | 1.2021 | 0.5954 | 1.2021 | 1.0964 |
| 0.3312 | 8.6667 | 572 | 1.1562 | 0.5937 | 1.1562 | 1.0753 |
| 0.3312 | 8.6970 | 574 | 1.1002 | 0.5919 | 1.1002 | 1.0489 |
| 0.3312 | 8.7273 | 576 | 1.0612 | 0.6023 | 1.0612 | 1.0302 |
| 0.3312 | 8.7576 | 578 | 1.0200 | 0.6356 | 1.0200 | 1.0100 |
| 0.3312 | 8.7879 | 580 | 1.0031 | 0.6303 | 1.0031 | 1.0015 |
| 0.3312 | 8.8182 | 582 | 1.0244 | 0.6354 | 1.0244 | 1.0121 |
| 0.3312 | 8.8485 | 584 | 1.0858 | 0.6011 | 1.0858 | 1.0420 |
| 0.3312 | 8.8788 | 586 | 1.1390 | 0.5988 | 1.1390 | 1.0673 |
| 0.3312 | 8.9091 | 588 | 1.1754 | 0.6021 | 1.1754 | 1.0842 |
| 0.3312 | 8.9394 | 590 | 1.1678 | 0.6005 | 1.1678 | 1.0806 |
| 0.3312 | 8.9697 | 592 | 1.1291 | 0.5899 | 1.1291 | 1.0626 |
| 0.3312 | 9.0 | 594 | 1.1280 | 0.5899 | 1.1280 | 1.0621 |
| 0.3312 | 9.0303 | 596 | 1.1118 | 0.5899 | 1.1118 | 1.0544 |
| 0.3312 | 9.0606 | 598 | 1.0734 | 0.5965 | 1.0734 | 1.0360 |
| 0.3312 | 9.0909 | 600 | 1.0627 | 0.6033 | 1.0627 | 1.0309 |
| 0.3312 | 9.1212 | 602 | 1.0770 | 0.5965 | 1.0770 | 1.0378 |
| 0.3312 | 9.1515 | 604 | 1.0964 | 0.5953 | 1.0964 | 1.0471 |
| 0.3312 | 9.1818 | 606 | 1.1164 | 0.5899 | 1.1164 | 1.0566 |
| 0.3312 | 9.2121 | 608 | 1.1322 | 0.5899 | 1.1322 | 1.0641 |
| 0.3312 | 9.2424 | 610 | 1.1221 | 0.5899 | 1.1221 | 1.0593 |
| 0.3312 | 9.2727 | 612 | 1.0982 | 0.5899 | 1.0982 | 1.0479 |
| 0.3312 | 9.3030 | 614 | 1.0813 | 0.5982 | 1.0813 | 1.0398 |
| 0.3312 | 9.3333 | 616 | 1.0662 | 0.6267 | 1.0662 | 1.0326 |
| 0.3312 | 9.3636 | 618 | 1.0690 | 0.6267 | 1.0690 | 1.0339 |
| 0.3312 | 9.3939 | 620 | 1.0871 | 0.5899 | 1.0871 | 1.0426 |
| 0.3312 | 9.4242 | 622 | 1.1118 | 0.5917 | 1.1118 | 1.0544 |
| 0.3312 | 9.4545 | 624 | 1.1309 | 0.5917 | 1.1309 | 1.0634 |
| 0.3312 | 9.4848 | 626 | 1.1282 | 0.5917 | 1.1282 | 1.0622 |
| 0.3312 | 9.5152 | 628 | 1.1139 | 0.5917 | 1.1139 | 1.0554 |
| 0.3312 | 9.5455 | 630 | 1.0919 | 0.5899 | 1.0919 | 1.0449 |
| 0.3312 | 9.5758 | 632 | 1.0868 | 0.6055 | 1.0868 | 1.0425 |
| 0.3312 | 9.6061 | 634 | 1.0847 | 0.6055 | 1.0847 | 1.0415 |
| 0.3312 | 9.6364 | 636 | 1.0743 | 0.6253 | 1.0743 | 1.0365 |
| 0.3312 | 9.6667 | 638 | 1.0615 | 0.6267 | 1.0615 | 1.0303 |
| 0.3312 | 9.6970 | 640 | 1.0465 | 0.6327 | 1.0465 | 1.0230 |
| 0.3312 | 9.7273 | 642 | 1.0368 | 0.6314 | 1.0368 | 1.0182 |
| 0.3312 | 9.7576 | 644 | 1.0280 | 0.6314 | 1.0280 | 1.0139 |
| 0.3312 | 9.7879 | 646 | 1.0270 | 0.6404 | 1.0270 | 1.0134 |
| 0.3312 | 9.8182 | 648 | 1.0287 | 0.6314 | 1.0287 | 1.0142 |
| 0.3312 | 9.8485 | 650 | 1.0306 | 0.6314 | 1.0306 | 1.0152 |
| 0.3312 | 9.8788 | 652 | 1.0322 | 0.6314 | 1.0322 | 1.0160 |
| 0.3312 | 9.9091 | 654 | 1.0359 | 0.6314 | 1.0359 | 1.0178 |
| 0.3312 | 9.9394 | 656 | 1.0400 | 0.6314 | 1.0400 | 1.0198 |
| 0.3312 | 9.9697 | 658 | 1.0428 | 0.6327 | 1.0428 | 1.0212 |
| 0.3312 | 10.0 | 660 | 1.0436 | 0.6327 | 1.0436 | 1.0215 |
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k17_task5_organization
Base model
aubmindlab/bert-base-arabertv02