Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k15_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k15_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k15_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k15_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k15_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_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: 0.9658
- Qwk: 0.6862
- Mse: 0.9658
- Rmse: 0.9827
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 | 0.0364 | 2 | 2.2453 | 0.0370 | 2.2453 | 1.4984 |
| No log | 0.0727 | 4 | 1.4327 | 0.2091 | 1.4327 | 1.1970 |
| No log | 0.1091 | 6 | 1.3899 | 0.1595 | 1.3899 | 1.1789 |
| No log | 0.1455 | 8 | 1.7154 | 0.2212 | 1.7154 | 1.3097 |
| No log | 0.1818 | 10 | 1.6875 | 0.1571 | 1.6875 | 1.2990 |
| No log | 0.2182 | 12 | 1.5447 | 0.1456 | 1.5447 | 1.2429 |
| No log | 0.2545 | 14 | 1.4835 | 0.1283 | 1.4835 | 1.2180 |
| No log | 0.2909 | 16 | 1.4502 | 0.1283 | 1.4502 | 1.2042 |
| No log | 0.3273 | 18 | 1.4372 | 0.0859 | 1.4372 | 1.1988 |
| No log | 0.3636 | 20 | 1.4336 | 0.0645 | 1.4336 | 1.1973 |
| No log | 0.4 | 22 | 1.4076 | 0.0859 | 1.4076 | 1.1864 |
| No log | 0.4364 | 24 | 1.3912 | 0.1071 | 1.3912 | 1.1795 |
| No log | 0.4727 | 26 | 1.3440 | 0.1071 | 1.3440 | 1.1593 |
| No log | 0.5091 | 28 | 1.3451 | 0.1343 | 1.3451 | 1.1598 |
| No log | 0.5455 | 30 | 1.3615 | 0.2632 | 1.3615 | 1.1668 |
| No log | 0.5818 | 32 | 1.3466 | 0.1865 | 1.3466 | 1.1604 |
| No log | 0.6182 | 34 | 1.3278 | 0.1931 | 1.3278 | 1.1523 |
| No log | 0.6545 | 36 | 1.4267 | 0.3055 | 1.4267 | 1.1945 |
| No log | 0.6909 | 38 | 1.6309 | 0.3294 | 1.6309 | 1.2771 |
| No log | 0.7273 | 40 | 1.6769 | 0.3182 | 1.6769 | 1.2950 |
| No log | 0.7636 | 42 | 1.3207 | 0.3603 | 1.3207 | 1.1492 |
| No log | 0.8 | 44 | 1.2401 | 0.2833 | 1.2401 | 1.1136 |
| No log | 0.8364 | 46 | 1.3308 | 0.3054 | 1.3308 | 1.1536 |
| No log | 0.8727 | 48 | 1.2311 | 0.3166 | 1.2311 | 1.1096 |
| No log | 0.9091 | 50 | 1.1445 | 0.3375 | 1.1445 | 1.0698 |
| No log | 0.9455 | 52 | 1.3741 | 0.3490 | 1.3741 | 1.1722 |
| No log | 0.9818 | 54 | 1.5550 | 0.3367 | 1.5550 | 1.2470 |
| No log | 1.0182 | 56 | 1.4816 | 0.2989 | 1.4816 | 1.2172 |
| No log | 1.0545 | 58 | 1.2843 | 0.2898 | 1.2843 | 1.1333 |
| No log | 1.0909 | 60 | 1.1899 | 0.3086 | 1.1899 | 1.0908 |
| No log | 1.1273 | 62 | 1.2334 | 0.2603 | 1.2334 | 1.1106 |
| No log | 1.1636 | 64 | 1.1775 | 0.2820 | 1.1775 | 1.0851 |
| No log | 1.2 | 66 | 1.1483 | 0.2667 | 1.1483 | 1.0716 |
| No log | 1.2364 | 68 | 1.2233 | 0.3056 | 1.2233 | 1.1060 |
| No log | 1.2727 | 70 | 1.3033 | 0.3691 | 1.3033 | 1.1416 |
| No log | 1.3091 | 72 | 1.3503 | 0.4742 | 1.3503 | 1.1620 |
| No log | 1.3455 | 74 | 1.3999 | 0.4227 | 1.3999 | 1.1832 |
| No log | 1.3818 | 76 | 1.3743 | 0.4019 | 1.3743 | 1.1723 |
| No log | 1.4182 | 78 | 1.2277 | 0.4384 | 1.2277 | 1.1080 |
| No log | 1.4545 | 80 | 1.1177 | 0.3778 | 1.1177 | 1.0572 |
| No log | 1.4909 | 82 | 1.0525 | 0.4460 | 1.0525 | 1.0259 |
| No log | 1.5273 | 84 | 1.0017 | 0.4818 | 1.0017 | 1.0008 |
| No log | 1.5636 | 86 | 0.9741 | 0.5267 | 0.9741 | 0.9870 |
| No log | 1.6 | 88 | 1.0266 | 0.5376 | 1.0266 | 1.0132 |
| No log | 1.6364 | 90 | 1.0700 | 0.5393 | 1.0700 | 1.0344 |
| No log | 1.6727 | 92 | 0.9774 | 0.5273 | 0.9774 | 0.9886 |
| No log | 1.7091 | 94 | 0.9599 | 0.5576 | 0.9599 | 0.9797 |
| No log | 1.7455 | 96 | 0.9649 | 0.5524 | 0.9649 | 0.9823 |
| No log | 1.7818 | 98 | 1.0923 | 0.5854 | 1.0923 | 1.0451 |
| No log | 1.8182 | 100 | 1.3236 | 0.4811 | 1.3236 | 1.1505 |
| No log | 1.8545 | 102 | 1.3186 | 0.4597 | 1.3186 | 1.1483 |
| No log | 1.8909 | 104 | 1.1309 | 0.5507 | 1.1309 | 1.0634 |
| No log | 1.9273 | 106 | 0.9688 | 0.5697 | 0.9688 | 0.9843 |
| No log | 1.9636 | 108 | 0.9287 | 0.5480 | 0.9287 | 0.9637 |
| No log | 2.0 | 110 | 0.9155 | 0.5850 | 0.9155 | 0.9568 |
| No log | 2.0364 | 112 | 0.9439 | 0.5528 | 0.9439 | 0.9716 |
| No log | 2.0727 | 114 | 0.9965 | 0.5027 | 0.9965 | 0.9983 |
| No log | 2.1091 | 116 | 1.1356 | 0.5003 | 1.1356 | 1.0657 |
| No log | 2.1455 | 118 | 1.2031 | 0.5105 | 1.2031 | 1.0969 |
| No log | 2.1818 | 120 | 1.0027 | 0.5802 | 1.0027 | 1.0013 |
| No log | 2.2182 | 122 | 0.9428 | 0.5791 | 0.9428 | 0.9710 |
| No log | 2.2545 | 124 | 0.9734 | 0.5802 | 0.9734 | 0.9866 |
| No log | 2.2909 | 126 | 0.9158 | 0.5917 | 0.9158 | 0.9570 |
| No log | 2.3273 | 128 | 0.9891 | 0.5589 | 0.9891 | 0.9945 |
| No log | 2.3636 | 130 | 1.2393 | 0.5295 | 1.2393 | 1.1133 |
| No log | 2.4 | 132 | 1.4200 | 0.5169 | 1.4200 | 1.1916 |
| No log | 2.4364 | 134 | 1.2798 | 0.5746 | 1.2798 | 1.1313 |
| No log | 2.4727 | 136 | 1.0010 | 0.5939 | 1.0010 | 1.0005 |
| No log | 2.5091 | 138 | 0.9602 | 0.6077 | 0.9602 | 0.9799 |
| No log | 2.5455 | 140 | 1.0535 | 0.6364 | 1.0535 | 1.0264 |
| No log | 2.5818 | 142 | 1.3492 | 0.5312 | 1.3492 | 1.1615 |
| No log | 2.6182 | 144 | 1.5619 | 0.4976 | 1.5619 | 1.2497 |
| No log | 2.6545 | 146 | 1.6355 | 0.4474 | 1.6355 | 1.2789 |
| No log | 2.6909 | 148 | 1.4750 | 0.4739 | 1.4750 | 1.2145 |
| No log | 2.7273 | 150 | 1.2620 | 0.5587 | 1.2620 | 1.1234 |
| No log | 2.7636 | 152 | 1.0937 | 0.5867 | 1.0937 | 1.0458 |
| No log | 2.8 | 154 | 0.9934 | 0.6267 | 0.9934 | 0.9967 |
| No log | 2.8364 | 156 | 0.9719 | 0.6273 | 0.9719 | 0.9859 |
| No log | 2.8727 | 158 | 1.0746 | 0.6451 | 1.0746 | 1.0367 |
| No log | 2.9091 | 160 | 1.1260 | 0.6354 | 1.1260 | 1.0611 |
| No log | 2.9455 | 162 | 1.0244 | 0.6364 | 1.0244 | 1.0121 |
| No log | 2.9818 | 164 | 0.8993 | 0.6449 | 0.8993 | 0.9483 |
| No log | 3.0182 | 166 | 0.9877 | 0.6093 | 0.9877 | 0.9938 |
| No log | 3.0545 | 168 | 1.0669 | 0.6121 | 1.0669 | 1.0329 |
| No log | 3.0909 | 170 | 1.2198 | 0.6002 | 1.2198 | 1.1045 |
| No log | 3.1273 | 172 | 1.2913 | 0.5697 | 1.2913 | 1.1363 |
| No log | 3.1636 | 174 | 1.1909 | 0.6339 | 1.1909 | 1.0913 |
| No log | 3.2 | 176 | 0.9149 | 0.6963 | 0.9149 | 0.9565 |
| No log | 3.2364 | 178 | 0.7903 | 0.6863 | 0.7903 | 0.8890 |
| No log | 3.2727 | 180 | 0.7730 | 0.6829 | 0.7730 | 0.8792 |
| No log | 3.3091 | 182 | 0.8216 | 0.6954 | 0.8216 | 0.9064 |
| No log | 3.3455 | 184 | 0.8956 | 0.6793 | 0.8956 | 0.9463 |
| No log | 3.3818 | 186 | 0.8932 | 0.6669 | 0.8932 | 0.9451 |
| No log | 3.4182 | 188 | 0.8398 | 0.6722 | 0.8398 | 0.9164 |
| No log | 3.4545 | 190 | 0.9343 | 0.6130 | 0.9343 | 0.9666 |
| No log | 3.4909 | 192 | 1.1841 | 0.5861 | 1.1841 | 1.0881 |
| No log | 3.5273 | 194 | 1.4000 | 0.5046 | 1.4000 | 1.1832 |
| No log | 3.5636 | 196 | 1.3887 | 0.5125 | 1.3887 | 1.1784 |
| No log | 3.6 | 198 | 1.1908 | 0.5690 | 1.1908 | 1.0912 |
| No log | 3.6364 | 200 | 0.9456 | 0.5933 | 0.9456 | 0.9724 |
| No log | 3.6727 | 202 | 0.8591 | 0.6175 | 0.8591 | 0.9269 |
| No log | 3.7091 | 204 | 0.8710 | 0.6234 | 0.8710 | 0.9333 |
| No log | 3.7455 | 206 | 0.9551 | 0.6091 | 0.9551 | 0.9773 |
| No log | 3.7818 | 208 | 1.1267 | 0.6158 | 1.1267 | 1.0615 |
| No log | 3.8182 | 210 | 1.3735 | 0.5587 | 1.3735 | 1.1720 |
| No log | 3.8545 | 212 | 1.4552 | 0.5690 | 1.4552 | 1.2063 |
| No log | 3.8909 | 214 | 1.2720 | 0.6295 | 1.2720 | 1.1278 |
| No log | 3.9273 | 216 | 0.9987 | 0.6579 | 0.9987 | 0.9993 |
| No log | 3.9636 | 218 | 0.8241 | 0.6775 | 0.8241 | 0.9078 |
| No log | 4.0 | 220 | 0.8343 | 0.6555 | 0.8343 | 0.9134 |
| No log | 4.0364 | 222 | 0.9790 | 0.6213 | 0.9790 | 0.9895 |
| No log | 4.0727 | 224 | 1.1424 | 0.6044 | 1.1424 | 1.0688 |
| No log | 4.1091 | 226 | 1.1005 | 0.5921 | 1.1005 | 1.0490 |
| No log | 4.1455 | 228 | 0.9005 | 0.6114 | 0.9005 | 0.9490 |
| No log | 4.1818 | 230 | 0.7905 | 0.6159 | 0.7905 | 0.8891 |
| No log | 4.2182 | 232 | 0.8231 | 0.6086 | 0.8231 | 0.9073 |
| No log | 4.2545 | 234 | 0.9425 | 0.6167 | 0.9425 | 0.9708 |
| No log | 4.2909 | 236 | 1.0982 | 0.5819 | 1.0982 | 1.0480 |
| No log | 4.3273 | 238 | 1.1524 | 0.5808 | 1.1524 | 1.0735 |
| No log | 4.3636 | 240 | 1.1241 | 0.5808 | 1.1241 | 1.0603 |
| No log | 4.4 | 242 | 1.1047 | 0.5965 | 1.1047 | 1.0510 |
| No log | 4.4364 | 244 | 1.1673 | 0.5850 | 1.1673 | 1.0804 |
| No log | 4.4727 | 246 | 1.2871 | 0.5518 | 1.2871 | 1.1345 |
| No log | 4.5091 | 248 | 1.2995 | 0.5370 | 1.2995 | 1.1400 |
| No log | 4.5455 | 250 | 1.1759 | 0.5619 | 1.1759 | 1.0844 |
| No log | 4.5818 | 252 | 1.1688 | 0.5745 | 1.1688 | 1.0811 |
| No log | 4.6182 | 254 | 1.1699 | 0.5745 | 1.1699 | 1.0816 |
| No log | 4.6545 | 256 | 1.2243 | 0.5544 | 1.2243 | 1.1065 |
| No log | 4.6909 | 258 | 1.1866 | 0.5505 | 1.1866 | 1.0893 |
| No log | 4.7273 | 260 | 1.1148 | 0.5664 | 1.1148 | 1.0558 |
| No log | 4.7636 | 262 | 1.0288 | 0.6117 | 1.0288 | 1.0143 |
| No log | 4.8 | 264 | 1.0790 | 0.5976 | 1.0790 | 1.0387 |
| No log | 4.8364 | 266 | 1.2702 | 0.5541 | 1.2702 | 1.1270 |
| No log | 4.8727 | 268 | 1.4952 | 0.5058 | 1.4952 | 1.2228 |
| No log | 4.9091 | 270 | 1.5313 | 0.5111 | 1.5313 | 1.2375 |
| No log | 4.9455 | 272 | 1.3882 | 0.5117 | 1.3882 | 1.1782 |
| No log | 4.9818 | 274 | 1.1208 | 0.6183 | 1.1208 | 1.0587 |
| No log | 5.0182 | 276 | 0.8694 | 0.6605 | 0.8694 | 0.9324 |
| No log | 5.0545 | 278 | 0.7892 | 0.6617 | 0.7892 | 0.8883 |
| No log | 5.0909 | 280 | 0.8076 | 0.6538 | 0.8076 | 0.8987 |
| No log | 5.1273 | 282 | 0.9115 | 0.6440 | 0.9115 | 0.9547 |
| No log | 5.1636 | 284 | 1.1190 | 0.5958 | 1.1190 | 1.0578 |
| No log | 5.2 | 286 | 1.2911 | 0.5364 | 1.2911 | 1.1363 |
| No log | 5.2364 | 288 | 1.2797 | 0.5483 | 1.2797 | 1.1312 |
| No log | 5.2727 | 290 | 1.1161 | 0.6090 | 1.1161 | 1.0565 |
| No log | 5.3091 | 292 | 0.9271 | 0.6540 | 0.9271 | 0.9629 |
| No log | 5.3455 | 294 | 0.8617 | 0.6958 | 0.8617 | 0.9283 |
| No log | 5.3818 | 296 | 0.8925 | 0.6754 | 0.8925 | 0.9447 |
| No log | 5.4182 | 298 | 0.9179 | 0.6745 | 0.9179 | 0.9581 |
| No log | 5.4545 | 300 | 0.9724 | 0.6759 | 0.9724 | 0.9861 |
| No log | 5.4909 | 302 | 0.9997 | 0.6538 | 0.9997 | 0.9998 |
| No log | 5.5273 | 304 | 0.9698 | 0.6538 | 0.9698 | 0.9848 |
| No log | 5.5636 | 306 | 0.9926 | 0.6618 | 0.9926 | 0.9963 |
| No log | 5.6 | 308 | 1.1338 | 0.6440 | 1.1338 | 1.0648 |
| No log | 5.6364 | 310 | 1.2425 | 0.6056 | 1.2425 | 1.1147 |
| No log | 5.6727 | 312 | 1.3660 | 0.5115 | 1.3660 | 1.1688 |
| No log | 5.7091 | 314 | 1.3476 | 0.4799 | 1.3476 | 1.1609 |
| No log | 5.7455 | 316 | 1.2585 | 0.5324 | 1.2585 | 1.1218 |
| No log | 5.7818 | 318 | 1.1409 | 0.5702 | 1.1409 | 1.0681 |
| No log | 5.8182 | 320 | 1.1374 | 0.5638 | 1.1374 | 1.0665 |
| No log | 5.8545 | 322 | 1.1939 | 0.5308 | 1.1939 | 1.0926 |
| No log | 5.8909 | 324 | 1.3106 | 0.4937 | 1.3106 | 1.1448 |
| No log | 5.9273 | 326 | 1.2935 | 0.5232 | 1.2935 | 1.1373 |
| No log | 5.9636 | 328 | 1.2683 | 0.5232 | 1.2683 | 1.1262 |
| No log | 6.0 | 330 | 1.2526 | 0.5459 | 1.2526 | 1.1192 |
| No log | 6.0364 | 332 | 1.2491 | 0.5492 | 1.2491 | 1.1176 |
| No log | 6.0727 | 334 | 1.2125 | 0.5868 | 1.2125 | 1.1012 |
| No log | 6.1091 | 336 | 1.1700 | 0.5917 | 1.1700 | 1.0817 |
| No log | 6.1455 | 338 | 1.0700 | 0.6123 | 1.0700 | 1.0344 |
| No log | 6.1818 | 340 | 1.0194 | 0.6294 | 1.0194 | 1.0096 |
| No log | 6.2182 | 342 | 1.0340 | 0.6468 | 1.0340 | 1.0168 |
| No log | 6.2545 | 344 | 1.1091 | 0.5876 | 1.1091 | 1.0532 |
| No log | 6.2909 | 346 | 1.2132 | 0.5567 | 1.2132 | 1.1014 |
| No log | 6.3273 | 348 | 1.2734 | 0.5282 | 1.2734 | 1.1284 |
| No log | 6.3636 | 350 | 1.2512 | 0.5254 | 1.2512 | 1.1186 |
| No log | 6.4 | 352 | 1.1657 | 0.5522 | 1.1657 | 1.0797 |
| No log | 6.4364 | 354 | 1.0870 | 0.6088 | 1.0870 | 1.0426 |
| No log | 6.4727 | 356 | 1.0618 | 0.6224 | 1.0618 | 1.0305 |
| No log | 6.5091 | 358 | 1.0779 | 0.6286 | 1.0779 | 1.0382 |
| No log | 6.5455 | 360 | 1.0322 | 0.6622 | 1.0322 | 1.0160 |
| No log | 6.5818 | 362 | 0.9907 | 0.6655 | 0.9907 | 0.9953 |
| No log | 6.6182 | 364 | 1.0007 | 0.6558 | 1.0007 | 1.0004 |
| No log | 6.6545 | 366 | 1.0116 | 0.6528 | 1.0116 | 1.0058 |
| No log | 6.6909 | 368 | 1.0633 | 0.6262 | 1.0633 | 1.0311 |
| No log | 6.7273 | 370 | 1.0699 | 0.6176 | 1.0699 | 1.0344 |
| No log | 6.7636 | 372 | 1.0713 | 0.6176 | 1.0713 | 1.0350 |
| No log | 6.8 | 374 | 1.0316 | 0.6499 | 1.0316 | 1.0157 |
| No log | 6.8364 | 376 | 1.0466 | 0.6499 | 1.0466 | 1.0230 |
| No log | 6.8727 | 378 | 1.0468 | 0.6589 | 1.0468 | 1.0231 |
| No log | 6.9091 | 380 | 1.0005 | 0.6551 | 1.0005 | 1.0003 |
| No log | 6.9455 | 382 | 0.9899 | 0.6645 | 0.9899 | 0.9950 |
| No log | 6.9818 | 384 | 0.9911 | 0.6731 | 0.9911 | 0.9955 |
| No log | 7.0182 | 386 | 1.0260 | 0.6521 | 1.0260 | 1.0129 |
| No log | 7.0545 | 388 | 1.0608 | 0.6280 | 1.0608 | 1.0300 |
| No log | 7.0909 | 390 | 1.1223 | 0.5982 | 1.1223 | 1.0594 |
| No log | 7.1273 | 392 | 1.1541 | 0.5971 | 1.1541 | 1.0743 |
| No log | 7.1636 | 394 | 1.1347 | 0.6127 | 1.1347 | 1.0652 |
| No log | 7.2 | 396 | 1.0622 | 0.6300 | 1.0622 | 1.0307 |
| No log | 7.2364 | 398 | 0.9518 | 0.6698 | 0.9518 | 0.9756 |
| No log | 7.2727 | 400 | 0.8318 | 0.6816 | 0.8318 | 0.9120 |
| No log | 7.3091 | 402 | 0.7913 | 0.6851 | 0.7913 | 0.8896 |
| No log | 7.3455 | 404 | 0.8102 | 0.6805 | 0.8102 | 0.9001 |
| No log | 7.3818 | 406 | 0.8697 | 0.6807 | 0.8697 | 0.9326 |
| No log | 7.4182 | 408 | 0.9992 | 0.6792 | 0.9992 | 0.9996 |
| No log | 7.4545 | 410 | 1.1143 | 0.6141 | 1.1143 | 1.0556 |
| No log | 7.4909 | 412 | 1.1546 | 0.5966 | 1.1546 | 1.0745 |
| No log | 7.5273 | 414 | 1.1511 | 0.6014 | 1.1511 | 1.0729 |
| No log | 7.5636 | 416 | 1.1183 | 0.6014 | 1.1183 | 1.0575 |
| No log | 7.6 | 418 | 1.0913 | 0.5997 | 1.0913 | 1.0446 |
| No log | 7.6364 | 420 | 1.0383 | 0.6335 | 1.0383 | 1.0189 |
| No log | 7.6727 | 422 | 1.0328 | 0.6351 | 1.0328 | 1.0163 |
| No log | 7.7091 | 424 | 1.0162 | 0.6351 | 1.0162 | 1.0080 |
| No log | 7.7455 | 426 | 0.9807 | 0.6590 | 0.9807 | 0.9903 |
| No log | 7.7818 | 428 | 0.9959 | 0.6409 | 0.9959 | 0.9979 |
| No log | 7.8182 | 430 | 1.0336 | 0.6300 | 1.0336 | 1.0167 |
| No log | 7.8545 | 432 | 1.1087 | 0.6024 | 1.1087 | 1.0530 |
| No log | 7.8909 | 434 | 1.1974 | 0.5860 | 1.1974 | 1.0943 |
| No log | 7.9273 | 436 | 1.2110 | 0.5860 | 1.2110 | 1.1004 |
| No log | 7.9636 | 438 | 1.1648 | 0.5973 | 1.1648 | 1.0793 |
| No log | 8.0 | 440 | 1.1009 | 0.6014 | 1.1009 | 1.0493 |
| No log | 8.0364 | 442 | 1.0642 | 0.6211 | 1.0642 | 1.0316 |
| No log | 8.0727 | 444 | 1.0374 | 0.6280 | 1.0374 | 1.0185 |
| No log | 8.1091 | 446 | 0.9903 | 0.6647 | 0.9903 | 0.9951 |
| No log | 8.1455 | 448 | 0.9216 | 0.6849 | 0.9216 | 0.9600 |
| No log | 8.1818 | 450 | 0.8973 | 0.6891 | 0.8973 | 0.9473 |
| No log | 8.2182 | 452 | 0.8906 | 0.6891 | 0.8906 | 0.9437 |
| No log | 8.2545 | 454 | 0.9199 | 0.6972 | 0.9199 | 0.9591 |
| No log | 8.2909 | 456 | 0.9493 | 0.6672 | 0.9493 | 0.9743 |
| No log | 8.3273 | 458 | 0.9990 | 0.6555 | 0.9990 | 0.9995 |
| No log | 8.3636 | 460 | 1.0251 | 0.6301 | 1.0251 | 1.0125 |
| No log | 8.4 | 462 | 1.0550 | 0.6236 | 1.0550 | 1.0271 |
| No log | 8.4364 | 464 | 1.0422 | 0.6236 | 1.0422 | 1.0209 |
| No log | 8.4727 | 466 | 1.0156 | 0.6399 | 1.0156 | 1.0077 |
| No log | 8.5091 | 468 | 0.9581 | 0.6663 | 0.9581 | 0.9788 |
| No log | 8.5455 | 470 | 0.9195 | 0.6918 | 0.9195 | 0.9589 |
| No log | 8.5818 | 472 | 0.9076 | 0.6918 | 0.9076 | 0.9527 |
| No log | 8.6182 | 474 | 0.9243 | 0.6918 | 0.9243 | 0.9614 |
| No log | 8.6545 | 476 | 0.9455 | 0.6842 | 0.9455 | 0.9724 |
| No log | 8.6909 | 478 | 0.9831 | 0.6583 | 0.9831 | 0.9915 |
| No log | 8.7273 | 480 | 1.0018 | 0.6343 | 1.0018 | 1.0009 |
| No log | 8.7636 | 482 | 1.0067 | 0.6361 | 1.0067 | 1.0034 |
| No log | 8.8 | 484 | 1.0108 | 0.6361 | 1.0108 | 1.0054 |
| No log | 8.8364 | 486 | 1.0221 | 0.6361 | 1.0221 | 1.0110 |
| No log | 8.8727 | 488 | 1.0390 | 0.6067 | 1.0390 | 1.0193 |
| No log | 8.9091 | 490 | 1.0511 | 0.6067 | 1.0511 | 1.0252 |
| No log | 8.9455 | 492 | 1.0655 | 0.5982 | 1.0655 | 1.0322 |
| No log | 8.9818 | 494 | 1.0681 | 0.6071 | 1.0681 | 1.0335 |
| No log | 9.0182 | 496 | 1.0422 | 0.6155 | 1.0422 | 1.0209 |
| No log | 9.0545 | 498 | 1.0350 | 0.6155 | 1.0350 | 1.0173 |
| 0.3527 | 9.0909 | 500 | 1.0312 | 0.6155 | 1.0312 | 1.0155 |
| 0.3527 | 9.1273 | 502 | 1.0441 | 0.6155 | 1.0441 | 1.0218 |
| 0.3527 | 9.1636 | 504 | 1.0439 | 0.6155 | 1.0439 | 1.0217 |
| 0.3527 | 9.2 | 506 | 1.0406 | 0.6155 | 1.0406 | 1.0201 |
| 0.3527 | 9.2364 | 508 | 1.0259 | 0.6168 | 1.0259 | 1.0129 |
| 0.3527 | 9.2727 | 510 | 1.0251 | 0.6168 | 1.0251 | 1.0124 |
| 0.3527 | 9.3091 | 512 | 1.0225 | 0.6168 | 1.0225 | 1.0112 |
| 0.3527 | 9.3455 | 514 | 1.0112 | 0.6341 | 1.0112 | 1.0056 |
| 0.3527 | 9.3818 | 516 | 0.9892 | 0.6639 | 0.9892 | 0.9946 |
| 0.3527 | 9.4182 | 518 | 0.9736 | 0.6815 | 0.9736 | 0.9867 |
| 0.3527 | 9.4545 | 520 | 0.9666 | 0.6781 | 0.9666 | 0.9832 |
| 0.3527 | 9.4909 | 522 | 0.9708 | 0.6781 | 0.9708 | 0.9853 |
| 0.3527 | 9.5273 | 524 | 0.9804 | 0.6722 | 0.9804 | 0.9901 |
| 0.3527 | 9.5636 | 526 | 0.9841 | 0.6722 | 0.9841 | 0.9920 |
| 0.3527 | 9.6 | 528 | 0.9917 | 0.6697 | 0.9917 | 0.9959 |
| 0.3527 | 9.6364 | 530 | 0.9939 | 0.6535 | 0.9939 | 0.9969 |
| 0.3527 | 9.6727 | 532 | 0.9927 | 0.6697 | 0.9927 | 0.9964 |
| 0.3527 | 9.7091 | 534 | 0.9899 | 0.6697 | 0.9899 | 0.9949 |
| 0.3527 | 9.7455 | 536 | 0.9823 | 0.6804 | 0.9823 | 0.9911 |
| 0.3527 | 9.7818 | 538 | 0.9723 | 0.6862 | 0.9723 | 0.9861 |
| 0.3527 | 9.8182 | 540 | 0.9657 | 0.6862 | 0.9657 | 0.9827 |
| 0.3527 | 9.8545 | 542 | 0.9650 | 0.6862 | 0.9650 | 0.9824 |
| 0.3527 | 9.8909 | 544 | 0.9661 | 0.6862 | 0.9661 | 0.9829 |
| 0.3527 | 9.9273 | 546 | 0.9665 | 0.6862 | 0.9665 | 0.9831 |
| 0.3527 | 9.9636 | 548 | 0.9659 | 0.6862 | 0.9659 | 0.9828 |
| 0.3527 | 10.0 | 550 | 0.9658 | 0.6862 | 0.9658 | 0.9827 |
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_FineTuningAraBERT_run3_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02