Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_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: 0.9320
- Qwk: 0.4998
- Mse: 0.9320
- Rmse: 0.9654
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 | 0.0299 | 2 | 3.9360 | -0.0024 | 3.9360 | 1.9839 |
| No log | 0.0597 | 4 | 2.0017 | 0.0483 | 2.0017 | 1.4148 |
| No log | 0.0896 | 6 | 1.2246 | 0.0528 | 1.2246 | 1.1066 |
| No log | 0.1194 | 8 | 1.1533 | -0.0502 | 1.1533 | 1.0739 |
| No log | 0.1493 | 10 | 0.7612 | 0.0906 | 0.7612 | 0.8725 |
| No log | 0.1791 | 12 | 0.7668 | 0.1118 | 0.7668 | 0.8757 |
| No log | 0.2090 | 14 | 0.7288 | 0.1241 | 0.7288 | 0.8537 |
| No log | 0.2388 | 16 | 0.7201 | 0.1856 | 0.7201 | 0.8486 |
| No log | 0.2687 | 18 | 0.6949 | 0.2247 | 0.6949 | 0.8336 |
| No log | 0.2985 | 20 | 0.6571 | 0.2288 | 0.6571 | 0.8106 |
| No log | 0.3284 | 22 | 0.7577 | 0.0772 | 0.7577 | 0.8704 |
| No log | 0.3582 | 24 | 0.8313 | 0.0772 | 0.8313 | 0.9118 |
| No log | 0.3881 | 26 | 0.7831 | 0.1063 | 0.7831 | 0.8849 |
| No log | 0.4179 | 28 | 0.6935 | 0.1636 | 0.6935 | 0.8328 |
| No log | 0.4478 | 30 | 0.6261 | 0.2645 | 0.6261 | 0.7913 |
| No log | 0.4776 | 32 | 0.6672 | 0.3199 | 0.6672 | 0.8168 |
| No log | 0.5075 | 34 | 0.8111 | 0.2939 | 0.8111 | 0.9006 |
| No log | 0.5373 | 36 | 0.7070 | 0.2939 | 0.7070 | 0.8408 |
| No log | 0.5672 | 38 | 0.6167 | 0.2614 | 0.6167 | 0.7853 |
| No log | 0.5970 | 40 | 0.6469 | 0.2693 | 0.6469 | 0.8043 |
| No log | 0.6269 | 42 | 0.7130 | 0.2371 | 0.7130 | 0.8444 |
| No log | 0.6567 | 44 | 0.6422 | 0.2852 | 0.6422 | 0.8014 |
| No log | 0.6866 | 46 | 0.5658 | 0.3555 | 0.5658 | 0.7522 |
| No log | 0.7164 | 48 | 0.5732 | 0.3821 | 0.5732 | 0.7571 |
| No log | 0.7463 | 50 | 0.5877 | 0.3891 | 0.5877 | 0.7666 |
| No log | 0.7761 | 52 | 0.6377 | 0.4216 | 0.6377 | 0.7986 |
| No log | 0.8060 | 54 | 1.0384 | 0.3629 | 1.0384 | 1.0190 |
| No log | 0.8358 | 56 | 1.2953 | 0.2269 | 1.2953 | 1.1381 |
| No log | 0.8657 | 58 | 1.0829 | 0.3349 | 1.0829 | 1.0406 |
| No log | 0.8955 | 60 | 0.7480 | 0.4150 | 0.7480 | 0.8649 |
| No log | 0.9254 | 62 | 0.5929 | 0.4050 | 0.5929 | 0.7700 |
| No log | 0.9552 | 64 | 0.6643 | 0.3966 | 0.6643 | 0.8150 |
| No log | 0.9851 | 66 | 0.6030 | 0.5043 | 0.6030 | 0.7765 |
| No log | 1.0149 | 68 | 0.7232 | 0.4734 | 0.7232 | 0.8504 |
| No log | 1.0448 | 70 | 1.1495 | 0.3655 | 1.1495 | 1.0721 |
| No log | 1.0746 | 72 | 1.2130 | 0.3495 | 1.2130 | 1.1014 |
| No log | 1.1045 | 74 | 0.9019 | 0.4468 | 0.9019 | 0.9497 |
| No log | 1.1343 | 76 | 0.6946 | 0.4980 | 0.6946 | 0.8334 |
| No log | 1.1642 | 78 | 0.7745 | 0.4994 | 0.7745 | 0.8800 |
| No log | 1.1940 | 80 | 0.7518 | 0.5224 | 0.7518 | 0.8671 |
| No log | 1.2239 | 82 | 0.9047 | 0.4568 | 0.9047 | 0.9512 |
| No log | 1.2537 | 84 | 1.4037 | 0.3410 | 1.4037 | 1.1848 |
| No log | 1.2836 | 86 | 1.7395 | 0.2630 | 1.7395 | 1.3189 |
| No log | 1.3134 | 88 | 1.6947 | 0.3288 | 1.6947 | 1.3018 |
| No log | 1.3433 | 90 | 1.3034 | 0.3971 | 1.3034 | 1.1417 |
| No log | 1.3731 | 92 | 0.9337 | 0.5119 | 0.9337 | 0.9663 |
| No log | 1.4030 | 94 | 0.8896 | 0.5321 | 0.8896 | 0.9432 |
| No log | 1.4328 | 96 | 0.8676 | 0.5357 | 0.8676 | 0.9314 |
| No log | 1.4627 | 98 | 0.7007 | 0.5108 | 0.7007 | 0.8371 |
| No log | 1.4925 | 100 | 0.6855 | 0.4983 | 0.6855 | 0.8279 |
| No log | 1.5224 | 102 | 0.6792 | 0.5200 | 0.6792 | 0.8241 |
| No log | 1.5522 | 104 | 0.7848 | 0.4789 | 0.7848 | 0.8859 |
| No log | 1.5821 | 106 | 0.8740 | 0.4773 | 0.8740 | 0.9349 |
| No log | 1.6119 | 108 | 1.0224 | 0.5162 | 1.0224 | 1.0111 |
| No log | 1.6418 | 110 | 1.0298 | 0.4735 | 1.0298 | 1.0148 |
| No log | 1.6716 | 112 | 1.0183 | 0.4487 | 1.0183 | 1.0091 |
| No log | 1.7015 | 114 | 1.1270 | 0.5030 | 1.1270 | 1.0616 |
| No log | 1.7313 | 116 | 1.4624 | 0.4082 | 1.4624 | 1.2093 |
| No log | 1.7612 | 118 | 1.4749 | 0.4082 | 1.4749 | 1.2144 |
| No log | 1.7910 | 120 | 1.1605 | 0.4737 | 1.1605 | 1.0773 |
| No log | 1.8209 | 122 | 0.9371 | 0.4582 | 0.9371 | 0.9681 |
| No log | 1.8507 | 124 | 0.9287 | 0.4575 | 0.9287 | 0.9637 |
| No log | 1.8806 | 126 | 0.9707 | 0.4719 | 0.9707 | 0.9852 |
| No log | 1.9104 | 128 | 1.0530 | 0.4436 | 1.0530 | 1.0261 |
| No log | 1.9403 | 130 | 1.2173 | 0.4694 | 1.2173 | 1.1033 |
| No log | 1.9701 | 132 | 1.4950 | 0.3480 | 1.4950 | 1.2227 |
| No log | 2.0 | 134 | 1.3337 | 0.4125 | 1.3337 | 1.1549 |
| No log | 2.0299 | 136 | 0.8745 | 0.4613 | 0.8745 | 0.9352 |
| No log | 2.0597 | 138 | 0.7953 | 0.4507 | 0.7953 | 0.8918 |
| No log | 2.0896 | 140 | 0.8014 | 0.4750 | 0.8014 | 0.8952 |
| No log | 2.1194 | 142 | 0.7789 | 0.4359 | 0.7789 | 0.8825 |
| No log | 2.1493 | 144 | 1.0676 | 0.4963 | 1.0676 | 1.0332 |
| No log | 2.1791 | 146 | 1.4885 | 0.3493 | 1.4885 | 1.2201 |
| No log | 2.2090 | 148 | 1.4277 | 0.3804 | 1.4277 | 1.1949 |
| No log | 2.2388 | 150 | 1.0946 | 0.4991 | 1.0946 | 1.0462 |
| No log | 2.2687 | 152 | 0.9862 | 0.4617 | 0.9862 | 0.9931 |
| No log | 2.2985 | 154 | 1.0186 | 0.4507 | 1.0186 | 1.0093 |
| No log | 2.3284 | 156 | 1.0799 | 0.4698 | 1.0799 | 1.0392 |
| No log | 2.3582 | 158 | 1.2129 | 0.4978 | 1.2129 | 1.1013 |
| No log | 2.3881 | 160 | 1.4784 | 0.3523 | 1.4784 | 1.2159 |
| No log | 2.4179 | 162 | 1.3647 | 0.4051 | 1.3647 | 1.1682 |
| No log | 2.4478 | 164 | 1.0440 | 0.4939 | 1.0440 | 1.0218 |
| No log | 2.4776 | 166 | 0.8135 | 0.4532 | 0.8135 | 0.9019 |
| No log | 2.5075 | 168 | 0.8118 | 0.4951 | 0.8118 | 0.9010 |
| No log | 2.5373 | 170 | 0.8115 | 0.4845 | 0.8115 | 0.9008 |
| No log | 2.5672 | 172 | 0.8237 | 0.4761 | 0.8237 | 0.9076 |
| No log | 2.5970 | 174 | 0.9825 | 0.4884 | 0.9825 | 0.9912 |
| No log | 2.6269 | 176 | 1.4006 | 0.4162 | 1.4006 | 1.1835 |
| No log | 2.6567 | 178 | 1.5259 | 0.375 | 1.5259 | 1.2353 |
| No log | 2.6866 | 180 | 1.2528 | 0.4265 | 1.2528 | 1.1193 |
| No log | 2.7164 | 182 | 0.9448 | 0.4730 | 0.9448 | 0.9720 |
| No log | 2.7463 | 184 | 0.8599 | 0.4705 | 0.8599 | 0.9273 |
| No log | 2.7761 | 186 | 0.8606 | 0.4662 | 0.8606 | 0.9277 |
| No log | 2.8060 | 188 | 0.9207 | 0.4586 | 0.9207 | 0.9596 |
| No log | 2.8358 | 190 | 1.1236 | 0.5032 | 1.1236 | 1.0600 |
| No log | 2.8657 | 192 | 1.2299 | 0.4372 | 1.2299 | 1.1090 |
| No log | 2.8955 | 194 | 1.3140 | 0.4330 | 1.3140 | 1.1463 |
| No log | 2.9254 | 196 | 1.3692 | 0.3998 | 1.3692 | 1.1701 |
| No log | 2.9552 | 198 | 1.1487 | 0.4673 | 1.1487 | 1.0718 |
| No log | 2.9851 | 200 | 0.9539 | 0.4386 | 0.9539 | 0.9767 |
| No log | 3.0149 | 202 | 0.9615 | 0.5095 | 0.9615 | 0.9806 |
| No log | 3.0448 | 204 | 0.9883 | 0.4412 | 0.9883 | 0.9941 |
| No log | 3.0746 | 206 | 1.1979 | 0.4472 | 1.1979 | 1.0945 |
| No log | 3.1045 | 208 | 1.6316 | 0.3480 | 1.6316 | 1.2773 |
| No log | 3.1343 | 210 | 2.2107 | 0.2948 | 2.2107 | 1.4868 |
| No log | 3.1642 | 212 | 2.2996 | 0.2958 | 2.2996 | 1.5164 |
| No log | 3.1940 | 214 | 1.9566 | 0.2994 | 1.9566 | 1.3988 |
| No log | 3.2239 | 216 | 1.4495 | 0.3803 | 1.4495 | 1.2039 |
| No log | 3.2537 | 218 | 1.1720 | 0.4737 | 1.1720 | 1.0826 |
| No log | 3.2836 | 220 | 1.0576 | 0.4588 | 1.0576 | 1.0284 |
| No log | 3.3134 | 222 | 0.9792 | 0.4787 | 0.9792 | 0.9895 |
| No log | 3.3433 | 224 | 0.9771 | 0.4889 | 0.9771 | 0.9885 |
| No log | 3.3731 | 226 | 1.0811 | 0.4748 | 1.0811 | 1.0398 |
| No log | 3.4030 | 228 | 1.0493 | 0.4739 | 1.0493 | 1.0244 |
| No log | 3.4328 | 230 | 0.8979 | 0.5036 | 0.8979 | 0.9476 |
| No log | 3.4627 | 232 | 0.8443 | 0.5046 | 0.8443 | 0.9188 |
| No log | 3.4925 | 234 | 0.8198 | 0.4844 | 0.8198 | 0.9055 |
| No log | 3.5224 | 236 | 0.8063 | 0.4753 | 0.8063 | 0.8980 |
| No log | 3.5522 | 238 | 0.8446 | 0.4734 | 0.8446 | 0.9190 |
| No log | 3.5821 | 240 | 0.9295 | 0.4930 | 0.9295 | 0.9641 |
| No log | 3.6119 | 242 | 1.1171 | 0.4638 | 1.1171 | 1.0569 |
| No log | 3.6418 | 244 | 1.1986 | 0.4465 | 1.1986 | 1.0948 |
| No log | 3.6716 | 246 | 1.1298 | 0.4591 | 1.1298 | 1.0629 |
| No log | 3.7015 | 248 | 1.0627 | 0.4561 | 1.0627 | 1.0309 |
| No log | 3.7313 | 250 | 1.0080 | 0.5230 | 1.0080 | 1.0040 |
| No log | 3.7612 | 252 | 1.0045 | 0.5258 | 1.0045 | 1.0022 |
| No log | 3.7910 | 254 | 1.0088 | 0.5196 | 1.0088 | 1.0044 |
| No log | 3.8209 | 256 | 1.0261 | 0.5170 | 1.0261 | 1.0130 |
| No log | 3.8507 | 258 | 1.1174 | 0.4731 | 1.1174 | 1.0570 |
| No log | 3.8806 | 260 | 1.1211 | 0.4768 | 1.1211 | 1.0588 |
| No log | 3.9104 | 262 | 1.0010 | 0.5016 | 1.0010 | 1.0005 |
| No log | 3.9403 | 264 | 0.8503 | 0.5442 | 0.8503 | 0.9221 |
| No log | 3.9701 | 266 | 0.8222 | 0.4726 | 0.8222 | 0.9068 |
| No log | 4.0 | 268 | 0.8588 | 0.5248 | 0.8588 | 0.9267 |
| No log | 4.0299 | 270 | 1.0403 | 0.4977 | 1.0403 | 1.0200 |
| No log | 4.0597 | 272 | 1.2315 | 0.4343 | 1.2315 | 1.1097 |
| No log | 4.0896 | 274 | 1.2706 | 0.4032 | 1.2706 | 1.1272 |
| No log | 4.1194 | 276 | 1.1282 | 0.4333 | 1.1282 | 1.0622 |
| No log | 4.1493 | 278 | 1.0648 | 0.4335 | 1.0648 | 1.0319 |
| No log | 4.1791 | 280 | 1.0344 | 0.4703 | 1.0344 | 1.0171 |
| No log | 4.2090 | 282 | 1.1090 | 0.4278 | 1.1090 | 1.0531 |
| No log | 4.2388 | 284 | 1.2751 | 0.4015 | 1.2751 | 1.1292 |
| No log | 4.2687 | 286 | 1.2524 | 0.4212 | 1.2524 | 1.1191 |
| No log | 4.2985 | 288 | 1.0391 | 0.4802 | 1.0391 | 1.0194 |
| No log | 4.3284 | 290 | 0.9134 | 0.5106 | 0.9134 | 0.9557 |
| No log | 4.3582 | 292 | 0.8481 | 0.4577 | 0.8481 | 0.9209 |
| No log | 4.3881 | 294 | 0.8283 | 0.4577 | 0.8283 | 0.9101 |
| No log | 4.4179 | 296 | 0.8838 | 0.5048 | 0.8838 | 0.9401 |
| No log | 4.4478 | 298 | 1.0590 | 0.4496 | 1.0590 | 1.0291 |
| No log | 4.4776 | 300 | 1.0997 | 0.4247 | 1.0997 | 1.0487 |
| No log | 4.5075 | 302 | 0.9850 | 0.4748 | 0.9850 | 0.9925 |
| No log | 4.5373 | 304 | 0.8540 | 0.5238 | 0.8540 | 0.9241 |
| No log | 4.5672 | 306 | 0.7976 | 0.4912 | 0.7976 | 0.8931 |
| No log | 4.5970 | 308 | 0.8229 | 0.5038 | 0.8229 | 0.9072 |
| No log | 4.6269 | 310 | 0.8995 | 0.4838 | 0.8995 | 0.9484 |
| No log | 4.6567 | 312 | 0.9372 | 0.4979 | 0.9372 | 0.9681 |
| No log | 4.6866 | 314 | 1.0404 | 0.4734 | 1.0404 | 1.0200 |
| No log | 4.7164 | 316 | 1.1401 | 0.4118 | 1.1401 | 1.0678 |
| No log | 4.7463 | 318 | 1.1897 | 0.4120 | 1.1897 | 1.0907 |
| No log | 4.7761 | 320 | 1.1334 | 0.4377 | 1.1334 | 1.0646 |
| No log | 4.8060 | 322 | 1.1178 | 0.4463 | 1.1178 | 1.0572 |
| No log | 4.8358 | 324 | 1.1393 | 0.4252 | 1.1393 | 1.0674 |
| No log | 4.8657 | 326 | 1.0671 | 0.4645 | 1.0671 | 1.0330 |
| No log | 4.8955 | 328 | 1.0262 | 0.4536 | 1.0262 | 1.0130 |
| No log | 4.9254 | 330 | 1.0564 | 0.4384 | 1.0564 | 1.0278 |
| No log | 4.9552 | 332 | 1.0019 | 0.4621 | 1.0019 | 1.0009 |
| No log | 4.9851 | 334 | 0.8772 | 0.5078 | 0.8772 | 0.9366 |
| No log | 5.0149 | 336 | 0.7674 | 0.4739 | 0.7674 | 0.8760 |
| No log | 5.0448 | 338 | 0.7577 | 0.4631 | 0.7577 | 0.8704 |
| No log | 5.0746 | 340 | 0.7581 | 0.4553 | 0.7581 | 0.8707 |
| No log | 5.1045 | 342 | 0.7952 | 0.4715 | 0.7952 | 0.8917 |
| No log | 5.1343 | 344 | 0.9418 | 0.5282 | 0.9418 | 0.9705 |
| No log | 5.1642 | 346 | 1.2093 | 0.4357 | 1.2093 | 1.0997 |
| No log | 5.1940 | 348 | 1.3066 | 0.3998 | 1.3066 | 1.1431 |
| No log | 5.2239 | 350 | 1.2190 | 0.4210 | 1.2190 | 1.1041 |
| No log | 5.2537 | 352 | 1.0805 | 0.4763 | 1.0805 | 1.0395 |
| No log | 5.2836 | 354 | 0.9457 | 0.5311 | 0.9457 | 0.9724 |
| No log | 5.3134 | 356 | 0.8898 | 0.5007 | 0.8898 | 0.9433 |
| No log | 5.3433 | 358 | 0.8678 | 0.5157 | 0.8678 | 0.9315 |
| No log | 5.3731 | 360 | 0.8518 | 0.5025 | 0.8518 | 0.9229 |
| No log | 5.4030 | 362 | 0.9189 | 0.4827 | 0.9189 | 0.9586 |
| No log | 5.4328 | 364 | 1.0100 | 0.5336 | 1.0100 | 1.0050 |
| No log | 5.4627 | 366 | 1.0008 | 0.5336 | 1.0008 | 1.0004 |
| No log | 5.4925 | 368 | 0.9585 | 0.5204 | 0.9585 | 0.9791 |
| No log | 5.5224 | 370 | 0.8835 | 0.5227 | 0.8835 | 0.9400 |
| No log | 5.5522 | 372 | 0.8667 | 0.5668 | 0.8667 | 0.9310 |
| No log | 5.5821 | 374 | 0.8611 | 0.5516 | 0.8611 | 0.9279 |
| No log | 5.6119 | 376 | 0.8160 | 0.5390 | 0.8160 | 0.9033 |
| No log | 5.6418 | 378 | 0.7575 | 0.5753 | 0.7575 | 0.8703 |
| No log | 5.6716 | 380 | 0.7444 | 0.5348 | 0.7444 | 0.8628 |
| No log | 5.7015 | 382 | 0.7822 | 0.5574 | 0.7822 | 0.8844 |
| No log | 5.7313 | 384 | 0.8419 | 0.5424 | 0.8419 | 0.9175 |
| No log | 5.7612 | 386 | 0.9534 | 0.5363 | 0.9534 | 0.9764 |
| No log | 5.7910 | 388 | 1.0850 | 0.4916 | 1.0850 | 1.0417 |
| No log | 5.8209 | 390 | 1.1233 | 0.4762 | 1.1233 | 1.0598 |
| No log | 5.8507 | 392 | 1.0955 | 0.4711 | 1.0955 | 1.0467 |
| No log | 5.8806 | 394 | 1.0323 | 0.4866 | 1.0323 | 1.0160 |
| No log | 5.9104 | 396 | 0.9372 | 0.5654 | 0.9372 | 0.9681 |
| No log | 5.9403 | 398 | 0.8276 | 0.5402 | 0.8276 | 0.9097 |
| No log | 5.9701 | 400 | 0.7882 | 0.5322 | 0.7882 | 0.8878 |
| No log | 6.0 | 402 | 0.7873 | 0.5356 | 0.7873 | 0.8873 |
| No log | 6.0299 | 404 | 0.8216 | 0.5243 | 0.8216 | 0.9064 |
| No log | 6.0597 | 406 | 0.9280 | 0.5245 | 0.9280 | 0.9633 |
| No log | 6.0896 | 408 | 1.0170 | 0.4758 | 1.0170 | 1.0085 |
| No log | 6.1194 | 410 | 1.0277 | 0.4754 | 1.0277 | 1.0137 |
| No log | 6.1493 | 412 | 0.9799 | 0.4778 | 0.9799 | 0.9899 |
| No log | 6.1791 | 414 | 0.9195 | 0.4905 | 0.9195 | 0.9589 |
| No log | 6.2090 | 416 | 0.9200 | 0.5138 | 0.9200 | 0.9592 |
| No log | 6.2388 | 418 | 0.9321 | 0.5002 | 0.9321 | 0.9654 |
| No log | 6.2687 | 420 | 0.9864 | 0.4823 | 0.9864 | 0.9932 |
| No log | 6.2985 | 422 | 0.9758 | 0.4995 | 0.9758 | 0.9878 |
| No log | 6.3284 | 424 | 0.9611 | 0.5123 | 0.9611 | 0.9803 |
| No log | 6.3582 | 426 | 0.9976 | 0.4989 | 0.9976 | 0.9988 |
| No log | 6.3881 | 428 | 1.0026 | 0.4989 | 1.0026 | 1.0013 |
| No log | 6.4179 | 430 | 0.9611 | 0.5263 | 0.9611 | 0.9803 |
| No log | 6.4478 | 432 | 0.9037 | 0.5530 | 0.9037 | 0.9506 |
| No log | 6.4776 | 434 | 0.8402 | 0.5355 | 0.8402 | 0.9166 |
| No log | 6.5075 | 436 | 0.7981 | 0.5326 | 0.7981 | 0.8934 |
| No log | 6.5373 | 438 | 0.7804 | 0.5380 | 0.7804 | 0.8834 |
| No log | 6.5672 | 440 | 0.8045 | 0.5491 | 0.8045 | 0.8969 |
| No log | 6.5970 | 442 | 0.8537 | 0.5678 | 0.8537 | 0.9240 |
| No log | 6.6269 | 444 | 0.9040 | 0.5407 | 0.9040 | 0.9508 |
| No log | 6.6567 | 446 | 0.8749 | 0.5528 | 0.8749 | 0.9354 |
| No log | 6.6866 | 448 | 0.8356 | 0.5479 | 0.8356 | 0.9141 |
| No log | 6.7164 | 450 | 0.7571 | 0.5545 | 0.7571 | 0.8701 |
| No log | 6.7463 | 452 | 0.7257 | 0.5089 | 0.7257 | 0.8519 |
| No log | 6.7761 | 454 | 0.7456 | 0.5384 | 0.7456 | 0.8635 |
| No log | 6.8060 | 456 | 0.7967 | 0.5339 | 0.7967 | 0.8926 |
| No log | 6.8358 | 458 | 0.8941 | 0.5361 | 0.8941 | 0.9455 |
| No log | 6.8657 | 460 | 1.0643 | 0.4932 | 1.0643 | 1.0317 |
| No log | 6.8955 | 462 | 1.1895 | 0.4408 | 1.1895 | 1.0906 |
| No log | 6.9254 | 464 | 1.2119 | 0.4457 | 1.2119 | 1.1009 |
| No log | 6.9552 | 466 | 1.1638 | 0.4712 | 1.1638 | 1.0788 |
| No log | 6.9851 | 468 | 1.1041 | 0.4726 | 1.1041 | 1.0508 |
| No log | 7.0149 | 470 | 1.0635 | 0.4945 | 1.0635 | 1.0313 |
| No log | 7.0448 | 472 | 0.9722 | 0.4911 | 0.9722 | 0.9860 |
| No log | 7.0746 | 474 | 0.9056 | 0.5037 | 0.9056 | 0.9516 |
| No log | 7.1045 | 476 | 0.8844 | 0.5123 | 0.8844 | 0.9404 |
| No log | 7.1343 | 478 | 0.8980 | 0.5092 | 0.8980 | 0.9476 |
| No log | 7.1642 | 480 | 0.8963 | 0.5101 | 0.8963 | 0.9467 |
| No log | 7.1940 | 482 | 0.8926 | 0.5117 | 0.8926 | 0.9448 |
| No log | 7.2239 | 484 | 0.8607 | 0.5078 | 0.8607 | 0.9278 |
| No log | 7.2537 | 486 | 0.8379 | 0.5162 | 0.8379 | 0.9154 |
| No log | 7.2836 | 488 | 0.8526 | 0.5208 | 0.8526 | 0.9234 |
| No log | 7.3134 | 490 | 0.9232 | 0.5045 | 0.9232 | 0.9608 |
| No log | 7.3433 | 492 | 1.0049 | 0.4995 | 1.0049 | 1.0024 |
| No log | 7.3731 | 494 | 1.0561 | 0.4822 | 1.0561 | 1.0276 |
| No log | 7.4030 | 496 | 1.0396 | 0.4936 | 1.0396 | 1.0196 |
| No log | 7.4328 | 498 | 1.0547 | 0.4930 | 1.0547 | 1.0270 |
| 0.4708 | 7.4627 | 500 | 1.0594 | 0.4930 | 1.0594 | 1.0293 |
| 0.4708 | 7.4925 | 502 | 1.1088 | 0.4807 | 1.1088 | 1.0530 |
| 0.4708 | 7.5224 | 504 | 1.1235 | 0.4639 | 1.1235 | 1.0600 |
| 0.4708 | 7.5522 | 506 | 1.1239 | 0.4482 | 1.1239 | 1.0601 |
| 0.4708 | 7.5821 | 508 | 1.0815 | 0.4808 | 1.0815 | 1.0400 |
| 0.4708 | 7.6119 | 510 | 1.0473 | 0.4813 | 1.0473 | 1.0234 |
| 0.4708 | 7.6418 | 512 | 0.9872 | 0.4995 | 0.9872 | 0.9936 |
| 0.4708 | 7.6716 | 514 | 0.9203 | 0.5046 | 0.9203 | 0.9593 |
| 0.4708 | 7.7015 | 516 | 0.8569 | 0.5093 | 0.8569 | 0.9257 |
| 0.4708 | 7.7313 | 518 | 0.8377 | 0.5335 | 0.8377 | 0.9152 |
| 0.4708 | 7.7612 | 520 | 0.8555 | 0.5140 | 0.8555 | 0.9249 |
| 0.4708 | 7.7910 | 522 | 0.9031 | 0.5104 | 0.9031 | 0.9503 |
| 0.4708 | 7.8209 | 524 | 0.9879 | 0.5009 | 0.9879 | 0.9939 |
| 0.4708 | 7.8507 | 526 | 1.0701 | 0.4773 | 1.0701 | 1.0344 |
| 0.4708 | 7.8806 | 528 | 1.0835 | 0.4773 | 1.0835 | 1.0409 |
| 0.4708 | 7.9104 | 530 | 1.0654 | 0.4773 | 1.0654 | 1.0322 |
| 0.4708 | 7.9403 | 532 | 1.0165 | 0.4995 | 1.0165 | 1.0082 |
| 0.4708 | 7.9701 | 534 | 0.9483 | 0.5083 | 0.9483 | 0.9738 |
| 0.4708 | 8.0 | 536 | 0.8835 | 0.5189 | 0.8835 | 0.9399 |
| 0.4708 | 8.0299 | 538 | 0.8507 | 0.5263 | 0.8507 | 0.9223 |
| 0.4708 | 8.0597 | 540 | 0.8504 | 0.5223 | 0.8504 | 0.9222 |
| 0.4708 | 8.0896 | 542 | 0.8554 | 0.5156 | 0.8554 | 0.9249 |
| 0.4708 | 8.1194 | 544 | 0.8823 | 0.5175 | 0.8823 | 0.9393 |
| 0.4708 | 8.1493 | 546 | 0.9142 | 0.5039 | 0.9142 | 0.9562 |
| 0.4708 | 8.1791 | 548 | 0.9440 | 0.4969 | 0.9440 | 0.9716 |
| 0.4708 | 8.2090 | 550 | 0.9913 | 0.4949 | 0.9913 | 0.9957 |
| 0.4708 | 8.2388 | 552 | 1.0188 | 0.4949 | 1.0188 | 1.0094 |
| 0.4708 | 8.2687 | 554 | 1.0494 | 0.4733 | 1.0494 | 1.0244 |
| 0.4708 | 8.2985 | 556 | 1.0588 | 0.4624 | 1.0588 | 1.0290 |
| 0.4708 | 8.3284 | 558 | 1.0618 | 0.4682 | 1.0618 | 1.0305 |
| 0.4708 | 8.3582 | 560 | 1.0507 | 0.4800 | 1.0507 | 1.0251 |
| 0.4708 | 8.3881 | 562 | 1.0724 | 0.4786 | 1.0724 | 1.0356 |
| 0.4708 | 8.4179 | 564 | 1.1229 | 0.4615 | 1.1229 | 1.0597 |
| 0.4708 | 8.4478 | 566 | 1.1367 | 0.4663 | 1.1367 | 1.0662 |
| 0.4708 | 8.4776 | 568 | 1.1507 | 0.4663 | 1.1507 | 1.0727 |
| 0.4708 | 8.5075 | 570 | 1.1501 | 0.4663 | 1.1501 | 1.0724 |
| 0.4708 | 8.5373 | 572 | 1.1445 | 0.4663 | 1.1445 | 1.0698 |
| 0.4708 | 8.5672 | 574 | 1.1441 | 0.4663 | 1.1441 | 1.0696 |
| 0.4708 | 8.5970 | 576 | 1.1162 | 0.4670 | 1.1162 | 1.0565 |
| 0.4708 | 8.6269 | 578 | 1.0733 | 0.4950 | 1.0733 | 1.0360 |
| 0.4708 | 8.6567 | 580 | 1.0202 | 0.5129 | 1.0202 | 1.0100 |
| 0.4708 | 8.6866 | 582 | 0.9753 | 0.5038 | 0.9753 | 0.9876 |
| 0.4708 | 8.7164 | 584 | 0.9511 | 0.5215 | 0.9511 | 0.9752 |
| 0.4708 | 8.7463 | 586 | 0.9363 | 0.5224 | 0.9363 | 0.9676 |
| 0.4708 | 8.7761 | 588 | 0.9442 | 0.5215 | 0.9442 | 0.9717 |
| 0.4708 | 8.8060 | 590 | 0.9668 | 0.5098 | 0.9668 | 0.9833 |
| 0.4708 | 8.8358 | 592 | 0.9718 | 0.5142 | 0.9718 | 0.9858 |
| 0.4708 | 8.8657 | 594 | 0.9875 | 0.5142 | 0.9875 | 0.9937 |
| 0.4708 | 8.8955 | 596 | 0.9932 | 0.5142 | 0.9932 | 0.9966 |
| 0.4708 | 8.9254 | 598 | 1.0054 | 0.5129 | 1.0054 | 1.0027 |
| 0.4708 | 8.9552 | 600 | 1.0097 | 0.5129 | 1.0097 | 1.0048 |
| 0.4708 | 8.9851 | 602 | 1.0034 | 0.5129 | 1.0034 | 1.0017 |
| 0.4708 | 9.0149 | 604 | 0.9940 | 0.5129 | 0.9940 | 0.9970 |
| 0.4708 | 9.0448 | 606 | 0.9746 | 0.5189 | 0.9746 | 0.9872 |
| 0.4708 | 9.0746 | 608 | 0.9691 | 0.5189 | 0.9691 | 0.9844 |
| 0.4708 | 9.1045 | 610 | 0.9837 | 0.5129 | 0.9837 | 0.9918 |
| 0.4708 | 9.1343 | 612 | 0.9890 | 0.5129 | 0.9890 | 0.9945 |
| 0.4708 | 9.1642 | 614 | 0.9966 | 0.5129 | 0.9966 | 0.9983 |
| 0.4708 | 9.1940 | 616 | 1.0119 | 0.5175 | 1.0119 | 1.0059 |
| 0.4708 | 9.2239 | 618 | 1.0211 | 0.5054 | 1.0211 | 1.0105 |
| 0.4708 | 9.2537 | 620 | 1.0259 | 0.5054 | 1.0259 | 1.0128 |
| 0.4708 | 9.2836 | 622 | 1.0130 | 0.5167 | 1.0130 | 1.0065 |
| 0.4708 | 9.3134 | 624 | 0.9933 | 0.5129 | 0.9933 | 0.9967 |
| 0.4708 | 9.3433 | 626 | 0.9755 | 0.5298 | 0.9755 | 0.9877 |
| 0.4708 | 9.3731 | 628 | 0.9539 | 0.5366 | 0.9539 | 0.9767 |
| 0.4708 | 9.4030 | 630 | 0.9318 | 0.5280 | 0.9318 | 0.9653 |
| 0.4708 | 9.4328 | 632 | 0.9228 | 0.5299 | 0.9228 | 0.9606 |
| 0.4708 | 9.4627 | 634 | 0.9244 | 0.5299 | 0.9244 | 0.9615 |
| 0.4708 | 9.4925 | 636 | 0.9259 | 0.5299 | 0.9259 | 0.9623 |
| 0.4708 | 9.5224 | 638 | 0.9326 | 0.5286 | 0.9326 | 0.9657 |
| 0.4708 | 9.5522 | 640 | 0.9414 | 0.5286 | 0.9414 | 0.9702 |
| 0.4708 | 9.5821 | 642 | 0.9487 | 0.5224 | 0.9487 | 0.9740 |
| 0.4708 | 9.6119 | 644 | 0.9506 | 0.5163 | 0.9506 | 0.9750 |
| 0.4708 | 9.6418 | 646 | 0.9463 | 0.5163 | 0.9463 | 0.9728 |
| 0.4708 | 9.6716 | 648 | 0.9408 | 0.5163 | 0.9408 | 0.9700 |
| 0.4708 | 9.7015 | 650 | 0.9395 | 0.5163 | 0.9395 | 0.9693 |
| 0.4708 | 9.7313 | 652 | 0.9385 | 0.5046 | 0.9385 | 0.9688 |
| 0.4708 | 9.7612 | 654 | 0.9345 | 0.5046 | 0.9345 | 0.9667 |
| 0.4708 | 9.7910 | 656 | 0.9329 | 0.5046 | 0.9329 | 0.9659 |
| 0.4708 | 9.8209 | 658 | 0.9344 | 0.5046 | 0.9344 | 0.9667 |
| 0.4708 | 9.8507 | 660 | 0.9372 | 0.5046 | 0.9372 | 0.9681 |
| 0.4708 | 9.8806 | 662 | 0.9366 | 0.5046 | 0.9366 | 0.9678 |
| 0.4708 | 9.9104 | 664 | 0.9350 | 0.5046 | 0.9350 | 0.9669 |
| 0.4708 | 9.9403 | 666 | 0.9339 | 0.4998 | 0.9339 | 0.9664 |
| 0.4708 | 9.9701 | 668 | 0.9323 | 0.4998 | 0.9323 | 0.9656 |
| 0.4708 | 10.0 | 670 | 0.9320 | 0.4998 | 0.9320 | 0.9654 |
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/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task2_organization
Base model
aubmindlab/bert-base-arabertv02