Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_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: 0.9365
- Qwk: 0.6179
- Mse: 0.9365
- Rmse: 0.9677
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 | 0.0345 | 2 | 2.1899 | -0.0074 | 2.1899 | 1.4798 |
| No log | 0.0690 | 4 | 1.8683 | 0.0233 | 1.8683 | 1.3669 |
| No log | 0.1034 | 6 | 2.2425 | -0.0945 | 2.2425 | 1.4975 |
| No log | 0.1379 | 8 | 1.6998 | 0.0643 | 1.6998 | 1.3038 |
| No log | 0.1724 | 10 | 1.4406 | 0.1243 | 1.4406 | 1.2002 |
| No log | 0.2069 | 12 | 1.3859 | 0.1174 | 1.3859 | 1.1772 |
| No log | 0.2414 | 14 | 1.4194 | 0.3151 | 1.4194 | 1.1914 |
| No log | 0.2759 | 16 | 1.3819 | 0.2910 | 1.3819 | 1.1756 |
| No log | 0.3103 | 18 | 1.2983 | 0.2075 | 1.2983 | 1.1394 |
| No log | 0.3448 | 20 | 1.2794 | 0.1999 | 1.2794 | 1.1311 |
| No log | 0.3793 | 22 | 1.2589 | 0.2955 | 1.2589 | 1.1220 |
| No log | 0.4138 | 24 | 1.2931 | 0.3369 | 1.2931 | 1.1372 |
| No log | 0.4483 | 26 | 1.4068 | 0.3190 | 1.4068 | 1.1861 |
| No log | 0.4828 | 28 | 1.4125 | 0.2750 | 1.4125 | 1.1885 |
| No log | 0.5172 | 30 | 1.3076 | 0.3444 | 1.3076 | 1.1435 |
| No log | 0.5517 | 32 | 1.1780 | 0.3562 | 1.1780 | 1.0853 |
| No log | 0.5862 | 34 | 1.1755 | 0.3050 | 1.1755 | 1.0842 |
| No log | 0.6207 | 36 | 1.2360 | 0.1923 | 1.2360 | 1.1118 |
| No log | 0.6552 | 38 | 1.2729 | 0.1575 | 1.2729 | 1.1282 |
| No log | 0.6897 | 40 | 1.3011 | 0.1364 | 1.3011 | 1.1406 |
| No log | 0.7241 | 42 | 1.2843 | 0.1128 | 1.2843 | 1.1333 |
| No log | 0.7586 | 44 | 1.2497 | 0.1983 | 1.2497 | 1.1179 |
| No log | 0.7931 | 46 | 1.1883 | 0.2715 | 1.1883 | 1.0901 |
| No log | 0.8276 | 48 | 1.1438 | 0.2852 | 1.1438 | 1.0695 |
| No log | 0.8621 | 50 | 1.1068 | 0.3601 | 1.1068 | 1.0520 |
| No log | 0.8966 | 52 | 1.0911 | 0.4148 | 1.0911 | 1.0446 |
| No log | 0.9310 | 54 | 1.1061 | 0.4327 | 1.1061 | 1.0517 |
| No log | 0.9655 | 56 | 1.2012 | 0.4166 | 1.2012 | 1.0960 |
| No log | 1.0 | 58 | 1.3264 | 0.4017 | 1.3264 | 1.1517 |
| No log | 1.0345 | 60 | 1.2811 | 0.4293 | 1.2811 | 1.1319 |
| No log | 1.0690 | 62 | 1.1405 | 0.4107 | 1.1405 | 1.0680 |
| No log | 1.1034 | 64 | 1.0954 | 0.3735 | 1.0954 | 1.0466 |
| No log | 1.1379 | 66 | 1.0560 | 0.4797 | 1.0560 | 1.0276 |
| No log | 1.1724 | 68 | 1.0280 | 0.4787 | 1.0280 | 1.0139 |
| No log | 1.2069 | 70 | 1.0402 | 0.4811 | 1.0402 | 1.0199 |
| No log | 1.2414 | 72 | 1.0916 | 0.4703 | 1.0916 | 1.0448 |
| No log | 1.2759 | 74 | 1.2206 | 0.3807 | 1.2206 | 1.1048 |
| No log | 1.3103 | 76 | 1.2715 | 0.4057 | 1.2715 | 1.1276 |
| No log | 1.3448 | 78 | 1.2099 | 0.4678 | 1.2099 | 1.1000 |
| No log | 1.3793 | 80 | 1.0845 | 0.4666 | 1.0845 | 1.0414 |
| No log | 1.4138 | 82 | 1.1409 | 0.5345 | 1.1409 | 1.0681 |
| No log | 1.4483 | 84 | 1.4561 | 0.4253 | 1.4561 | 1.2067 |
| No log | 1.4828 | 86 | 1.6177 | 0.3658 | 1.6177 | 1.2719 |
| No log | 1.5172 | 88 | 1.4898 | 0.3961 | 1.4898 | 1.2206 |
| No log | 1.5517 | 90 | 1.1868 | 0.4947 | 1.1868 | 1.0894 |
| No log | 1.5862 | 92 | 1.0536 | 0.4688 | 1.0536 | 1.0265 |
| No log | 1.6207 | 94 | 0.9912 | 0.5209 | 0.9912 | 0.9956 |
| No log | 1.6552 | 96 | 1.0118 | 0.4935 | 1.0118 | 1.0059 |
| No log | 1.6897 | 98 | 1.0545 | 0.5282 | 1.0545 | 1.0269 |
| No log | 1.7241 | 100 | 1.1617 | 0.5442 | 1.1617 | 1.0778 |
| No log | 1.7586 | 102 | 1.3983 | 0.4802 | 1.3983 | 1.1825 |
| No log | 1.7931 | 104 | 1.4712 | 0.4677 | 1.4712 | 1.2129 |
| No log | 1.8276 | 106 | 1.2790 | 0.5297 | 1.2790 | 1.1309 |
| No log | 1.8621 | 108 | 1.0510 | 0.5498 | 1.0510 | 1.0252 |
| No log | 1.8966 | 110 | 0.9375 | 0.5625 | 0.9375 | 0.9682 |
| No log | 1.9310 | 112 | 0.9097 | 0.5739 | 0.9097 | 0.9538 |
| No log | 1.9655 | 114 | 0.9542 | 0.6164 | 0.9542 | 0.9768 |
| No log | 2.0 | 116 | 1.1390 | 0.5642 | 1.1390 | 1.0672 |
| No log | 2.0345 | 118 | 1.1898 | 0.5502 | 1.1898 | 1.0908 |
| No log | 2.0690 | 120 | 1.0652 | 0.5828 | 1.0652 | 1.0321 |
| No log | 2.1034 | 122 | 0.9159 | 0.6164 | 0.9159 | 0.9570 |
| No log | 2.1379 | 124 | 0.8619 | 0.6127 | 0.8619 | 0.9284 |
| No log | 2.1724 | 126 | 0.8926 | 0.6172 | 0.8926 | 0.9448 |
| No log | 2.2069 | 128 | 1.0400 | 0.5998 | 1.0400 | 1.0198 |
| No log | 2.2414 | 130 | 1.2470 | 0.5415 | 1.2470 | 1.1167 |
| No log | 2.2759 | 132 | 1.3895 | 0.5232 | 1.3895 | 1.1788 |
| No log | 2.3103 | 134 | 1.2488 | 0.5346 | 1.2488 | 1.1175 |
| No log | 2.3448 | 136 | 1.0270 | 0.5969 | 1.0270 | 1.0134 |
| No log | 2.3793 | 138 | 0.9553 | 0.6003 | 0.9553 | 0.9774 |
| No log | 2.4138 | 140 | 0.9726 | 0.5912 | 0.9726 | 0.9862 |
| No log | 2.4483 | 142 | 1.0557 | 0.5779 | 1.0557 | 1.0275 |
| No log | 2.4828 | 144 | 1.1735 | 0.5889 | 1.1735 | 1.0833 |
| No log | 2.5172 | 146 | 1.2337 | 0.5606 | 1.2337 | 1.1107 |
| No log | 2.5517 | 148 | 1.1802 | 0.5690 | 1.1802 | 1.0864 |
| No log | 2.5862 | 150 | 1.1298 | 0.5901 | 1.1298 | 1.0629 |
| No log | 2.6207 | 152 | 1.1439 | 0.5789 | 1.1439 | 1.0695 |
| No log | 2.6552 | 154 | 1.1361 | 0.5734 | 1.1361 | 1.0659 |
| No log | 2.6897 | 156 | 1.0051 | 0.6420 | 1.0051 | 1.0025 |
| No log | 2.7241 | 158 | 0.9727 | 0.6278 | 0.9727 | 0.9863 |
| No log | 2.7586 | 160 | 0.9433 | 0.6329 | 0.9433 | 0.9712 |
| No log | 2.7931 | 162 | 0.8660 | 0.5891 | 0.8660 | 0.9306 |
| No log | 2.8276 | 164 | 0.8694 | 0.5983 | 0.8694 | 0.9324 |
| No log | 2.8621 | 166 | 1.0042 | 0.6117 | 1.0042 | 1.0021 |
| No log | 2.8966 | 168 | 1.1472 | 0.5394 | 1.1472 | 1.0711 |
| No log | 2.9310 | 170 | 1.5109 | 0.4996 | 1.5109 | 1.2292 |
| No log | 2.9655 | 172 | 1.6384 | 0.4675 | 1.6384 | 1.2800 |
| No log | 3.0 | 174 | 1.4066 | 0.5185 | 1.4066 | 1.1860 |
| No log | 3.0345 | 176 | 1.1749 | 0.5543 | 1.1749 | 1.0839 |
| No log | 3.0690 | 178 | 1.0274 | 0.5989 | 1.0274 | 1.0136 |
| No log | 3.1034 | 180 | 1.0514 | 0.5935 | 1.0514 | 1.0254 |
| No log | 3.1379 | 182 | 1.1139 | 0.5985 | 1.1139 | 1.0554 |
| No log | 3.1724 | 184 | 1.1208 | 0.6084 | 1.1208 | 1.0587 |
| No log | 3.2069 | 186 | 1.0525 | 0.6120 | 1.0525 | 1.0259 |
| No log | 3.2414 | 188 | 0.9657 | 0.6532 | 0.9657 | 0.9827 |
| No log | 3.2759 | 190 | 0.9919 | 0.6247 | 0.9919 | 0.9959 |
| No log | 3.3103 | 192 | 1.0102 | 0.6410 | 1.0102 | 1.0051 |
| No log | 3.3448 | 194 | 1.1319 | 0.6052 | 1.1319 | 1.0639 |
| No log | 3.3793 | 196 | 1.2961 | 0.5483 | 1.2961 | 1.1384 |
| No log | 3.4138 | 198 | 1.2333 | 0.5244 | 1.2333 | 1.1105 |
| No log | 3.4483 | 200 | 1.0457 | 0.5127 | 1.0457 | 1.0226 |
| No log | 3.4828 | 202 | 0.9613 | 0.5319 | 0.9613 | 0.9805 |
| No log | 3.5172 | 204 | 0.9583 | 0.5310 | 0.9583 | 0.9789 |
| No log | 3.5517 | 206 | 1.0712 | 0.5428 | 1.0712 | 1.0350 |
| No log | 3.5862 | 208 | 1.1968 | 0.5302 | 1.1968 | 1.0940 |
| No log | 3.6207 | 210 | 1.1994 | 0.5480 | 1.1994 | 1.0952 |
| No log | 3.6552 | 212 | 1.0892 | 0.5430 | 1.0892 | 1.0436 |
| No log | 3.6897 | 214 | 0.9056 | 0.5944 | 0.9056 | 0.9516 |
| No log | 3.7241 | 216 | 0.7937 | 0.6417 | 0.7937 | 0.8909 |
| No log | 3.7586 | 218 | 0.7703 | 0.6385 | 0.7703 | 0.8777 |
| No log | 3.7931 | 220 | 0.8127 | 0.6427 | 0.8127 | 0.9015 |
| No log | 3.8276 | 222 | 0.8932 | 0.6014 | 0.8932 | 0.9451 |
| No log | 3.8621 | 224 | 0.9878 | 0.5946 | 0.9878 | 0.9939 |
| No log | 3.8966 | 226 | 1.0362 | 0.5784 | 1.0362 | 1.0180 |
| No log | 3.9310 | 228 | 1.1552 | 0.5648 | 1.1552 | 1.0748 |
| No log | 3.9655 | 230 | 1.1126 | 0.5574 | 1.1126 | 1.0548 |
| No log | 4.0 | 232 | 1.0171 | 0.5796 | 1.0171 | 1.0085 |
| No log | 4.0345 | 234 | 0.9691 | 0.5747 | 0.9691 | 0.9844 |
| No log | 4.0690 | 236 | 0.9361 | 0.5999 | 0.9361 | 0.9675 |
| No log | 4.1034 | 238 | 0.9237 | 0.6084 | 0.9237 | 0.9611 |
| No log | 4.1379 | 240 | 0.9257 | 0.5881 | 0.9257 | 0.9621 |
| No log | 4.1724 | 242 | 0.9672 | 0.5770 | 0.9672 | 0.9835 |
| No log | 4.2069 | 244 | 1.0430 | 0.5476 | 1.0430 | 1.0213 |
| No log | 4.2414 | 246 | 1.0507 | 0.5532 | 1.0507 | 1.0250 |
| No log | 4.2759 | 248 | 1.0209 | 0.5553 | 1.0209 | 1.0104 |
| No log | 4.3103 | 250 | 1.0857 | 0.5691 | 1.0857 | 1.0419 |
| No log | 4.3448 | 252 | 1.1996 | 0.5737 | 1.1996 | 1.0953 |
| No log | 4.3793 | 254 | 1.1533 | 0.5737 | 1.1533 | 1.0739 |
| No log | 4.4138 | 256 | 1.0591 | 0.5771 | 1.0591 | 1.0291 |
| No log | 4.4483 | 258 | 0.9504 | 0.5685 | 0.9504 | 0.9749 |
| No log | 4.4828 | 260 | 0.9209 | 0.5966 | 0.9209 | 0.9596 |
| No log | 4.5172 | 262 | 0.9579 | 0.5820 | 0.9579 | 0.9787 |
| No log | 4.5517 | 264 | 1.0511 | 0.5691 | 1.0511 | 1.0252 |
| No log | 4.5862 | 266 | 1.0921 | 0.5748 | 1.0921 | 1.0451 |
| No log | 4.6207 | 268 | 1.0904 | 0.5725 | 1.0904 | 1.0442 |
| No log | 4.6552 | 270 | 1.0303 | 0.5736 | 1.0303 | 1.0151 |
| No log | 4.6897 | 272 | 0.9311 | 0.6040 | 0.9311 | 0.9649 |
| No log | 4.7241 | 274 | 0.8596 | 0.6322 | 0.8596 | 0.9271 |
| No log | 4.7586 | 276 | 0.8897 | 0.6175 | 0.8897 | 0.9433 |
| No log | 4.7931 | 278 | 1.0069 | 0.5688 | 1.0069 | 1.0034 |
| No log | 4.8276 | 280 | 1.1197 | 0.5351 | 1.1197 | 1.0582 |
| No log | 4.8621 | 282 | 1.3203 | 0.5092 | 1.3203 | 1.1491 |
| No log | 4.8966 | 284 | 1.4416 | 0.5135 | 1.4416 | 1.2007 |
| No log | 4.9310 | 286 | 1.3638 | 0.5258 | 1.3638 | 1.1678 |
| No log | 4.9655 | 288 | 1.1563 | 0.5714 | 1.1563 | 1.0753 |
| No log | 5.0 | 290 | 0.9885 | 0.6077 | 0.9885 | 0.9942 |
| No log | 5.0345 | 292 | 0.8853 | 0.6146 | 0.8853 | 0.9409 |
| No log | 5.0690 | 294 | 0.8733 | 0.6133 | 0.8733 | 0.9345 |
| No log | 5.1034 | 296 | 0.9288 | 0.6229 | 0.9288 | 0.9637 |
| No log | 5.1379 | 298 | 0.9454 | 0.6068 | 0.9454 | 0.9723 |
| No log | 5.1724 | 300 | 0.9263 | 0.6068 | 0.9263 | 0.9625 |
| No log | 5.2069 | 302 | 0.9472 | 0.6068 | 0.9472 | 0.9733 |
| No log | 5.2414 | 304 | 0.9493 | 0.6147 | 0.9493 | 0.9743 |
| No log | 5.2759 | 306 | 0.9571 | 0.6147 | 0.9571 | 0.9783 |
| No log | 5.3103 | 308 | 0.9484 | 0.6130 | 0.9484 | 0.9739 |
| No log | 5.3448 | 310 | 0.9598 | 0.6097 | 0.9598 | 0.9797 |
| No log | 5.3793 | 312 | 1.0282 | 0.5872 | 1.0282 | 1.0140 |
| No log | 5.4138 | 314 | 1.1247 | 0.5814 | 1.1247 | 1.0605 |
| No log | 5.4483 | 316 | 1.1954 | 0.5715 | 1.1954 | 1.0934 |
| No log | 5.4828 | 318 | 1.1727 | 0.5648 | 1.1727 | 1.0829 |
| No log | 5.5172 | 320 | 1.1209 | 0.5746 | 1.1209 | 1.0587 |
| No log | 5.5517 | 322 | 0.9960 | 0.6250 | 0.9960 | 0.9980 |
| No log | 5.5862 | 324 | 0.8961 | 0.6306 | 0.8961 | 0.9466 |
| No log | 5.6207 | 326 | 0.8503 | 0.6347 | 0.8503 | 0.9221 |
| No log | 5.6552 | 328 | 0.8638 | 0.6316 | 0.8638 | 0.9294 |
| No log | 5.6897 | 330 | 0.9083 | 0.6217 | 0.9083 | 0.9530 |
| No log | 5.7241 | 332 | 1.0062 | 0.5757 | 1.0062 | 1.0031 |
| No log | 5.7586 | 334 | 1.1241 | 0.5487 | 1.1241 | 1.0602 |
| No log | 5.7931 | 336 | 1.1630 | 0.5581 | 1.1630 | 1.0784 |
| No log | 5.8276 | 338 | 1.1937 | 0.5409 | 1.1937 | 1.0926 |
| No log | 5.8621 | 340 | 1.1606 | 0.5503 | 1.1606 | 1.0773 |
| No log | 5.8966 | 342 | 1.0539 | 0.5860 | 1.0539 | 1.0266 |
| No log | 5.9310 | 344 | 0.9769 | 0.6068 | 0.9769 | 0.9884 |
| No log | 5.9655 | 346 | 0.9633 | 0.6083 | 0.9633 | 0.9815 |
| No log | 6.0 | 348 | 0.9973 | 0.6087 | 0.9973 | 0.9986 |
| No log | 6.0345 | 350 | 1.0120 | 0.6087 | 1.0120 | 1.0060 |
| No log | 6.0690 | 352 | 0.9651 | 0.6083 | 0.9651 | 0.9824 |
| No log | 6.1034 | 354 | 0.9463 | 0.5978 | 0.9463 | 0.9728 |
| No log | 6.1379 | 356 | 0.9100 | 0.6006 | 0.9100 | 0.9539 |
| No log | 6.1724 | 358 | 0.9179 | 0.6141 | 0.9179 | 0.9580 |
| No log | 6.2069 | 360 | 0.9647 | 0.5975 | 0.9647 | 0.9822 |
| No log | 6.2414 | 362 | 0.9646 | 0.6069 | 0.9646 | 0.9822 |
| No log | 6.2759 | 364 | 0.9324 | 0.6214 | 0.9324 | 0.9656 |
| No log | 6.3103 | 366 | 0.8753 | 0.6390 | 0.8753 | 0.9356 |
| No log | 6.3448 | 368 | 0.8244 | 0.6354 | 0.8244 | 0.9080 |
| No log | 6.3793 | 370 | 0.8242 | 0.6354 | 0.8242 | 0.9078 |
| No log | 6.4138 | 372 | 0.8763 | 0.6304 | 0.8763 | 0.9361 |
| No log | 6.4483 | 374 | 0.9562 | 0.5957 | 0.9562 | 0.9779 |
| No log | 6.4828 | 376 | 1.0936 | 0.5566 | 1.0936 | 1.0458 |
| No log | 6.5172 | 378 | 1.1548 | 0.5536 | 1.1548 | 1.0746 |
| No log | 6.5517 | 380 | 1.1336 | 0.5537 | 1.1336 | 1.0647 |
| No log | 6.5862 | 382 | 1.0794 | 0.5758 | 1.0794 | 1.0390 |
| No log | 6.6207 | 384 | 1.0550 | 0.5664 | 1.0550 | 1.0271 |
| No log | 6.6552 | 386 | 1.0677 | 0.5664 | 1.0677 | 1.0333 |
| No log | 6.6897 | 388 | 1.0522 | 0.5563 | 1.0522 | 1.0258 |
| No log | 6.7241 | 390 | 1.0727 | 0.5713 | 1.0727 | 1.0357 |
| No log | 6.7586 | 392 | 1.1249 | 0.5554 | 1.1249 | 1.0606 |
| No log | 6.7931 | 394 | 1.2061 | 0.5137 | 1.2061 | 1.0982 |
| No log | 6.8276 | 396 | 1.1796 | 0.5151 | 1.1796 | 1.0861 |
| No log | 6.8621 | 398 | 1.1379 | 0.5455 | 1.1379 | 1.0667 |
| No log | 6.8966 | 400 | 1.0627 | 0.5616 | 1.0627 | 1.0309 |
| No log | 6.9310 | 402 | 0.9818 | 0.5881 | 0.9818 | 0.9909 |
| No log | 6.9655 | 404 | 0.9574 | 0.5784 | 0.9574 | 0.9785 |
| No log | 7.0 | 406 | 0.9574 | 0.5784 | 0.9574 | 0.9784 |
| No log | 7.0345 | 408 | 0.9765 | 0.5784 | 0.9765 | 0.9882 |
| No log | 7.0690 | 410 | 1.0291 | 0.5843 | 1.0291 | 1.0144 |
| No log | 7.1034 | 412 | 1.0826 | 0.5689 | 1.0826 | 1.0405 |
| No log | 7.1379 | 414 | 1.1052 | 0.5724 | 1.1052 | 1.0513 |
| No log | 7.1724 | 416 | 1.0915 | 0.5611 | 1.0915 | 1.0448 |
| No log | 7.2069 | 418 | 1.0611 | 0.5656 | 1.0611 | 1.0301 |
| No log | 7.2414 | 420 | 1.0024 | 0.5781 | 1.0024 | 1.0012 |
| No log | 7.2759 | 422 | 0.9807 | 0.5841 | 0.9807 | 0.9903 |
| No log | 7.3103 | 424 | 0.9697 | 0.5925 | 0.9697 | 0.9847 |
| No log | 7.3448 | 426 | 0.9478 | 0.6120 | 0.9478 | 0.9735 |
| No log | 7.3793 | 428 | 0.9552 | 0.6002 | 0.9552 | 0.9773 |
| No log | 7.4138 | 430 | 1.0020 | 0.5843 | 1.0020 | 1.0010 |
| No log | 7.4483 | 432 | 1.0742 | 0.5680 | 1.0742 | 1.0365 |
| No log | 7.4828 | 434 | 1.1176 | 0.5534 | 1.1176 | 1.0572 |
| No log | 7.5172 | 436 | 1.1077 | 0.5534 | 1.1077 | 1.0525 |
| No log | 7.5517 | 438 | 1.0577 | 0.5713 | 1.0577 | 1.0285 |
| No log | 7.5862 | 440 | 1.0032 | 0.5865 | 1.0032 | 1.0016 |
| No log | 7.6207 | 442 | 0.9433 | 0.6046 | 0.9433 | 0.9712 |
| No log | 7.6552 | 444 | 0.9223 | 0.6276 | 0.9223 | 0.9604 |
| No log | 7.6897 | 446 | 0.9427 | 0.6162 | 0.9427 | 0.9709 |
| No log | 7.7241 | 448 | 0.9588 | 0.6018 | 0.9588 | 0.9792 |
| No log | 7.7586 | 450 | 1.0053 | 0.5817 | 1.0053 | 1.0026 |
| No log | 7.7931 | 452 | 1.0789 | 0.5792 | 1.0789 | 1.0387 |
| No log | 7.8276 | 454 | 1.1256 | 0.5802 | 1.1256 | 1.0610 |
| No log | 7.8621 | 456 | 1.1408 | 0.5715 | 1.1408 | 1.0681 |
| No log | 7.8966 | 458 | 1.1296 | 0.5802 | 1.1296 | 1.0628 |
| No log | 7.9310 | 460 | 1.0795 | 0.5781 | 1.0795 | 1.0390 |
| No log | 7.9655 | 462 | 1.0221 | 0.5827 | 1.0221 | 1.0110 |
| No log | 8.0 | 464 | 0.9447 | 0.6051 | 0.9447 | 0.9720 |
| No log | 8.0345 | 466 | 0.9026 | 0.6444 | 0.9026 | 0.9501 |
| No log | 8.0690 | 468 | 0.9042 | 0.6444 | 0.9042 | 0.9509 |
| No log | 8.1034 | 470 | 0.9318 | 0.6179 | 0.9318 | 0.9653 |
| No log | 8.1379 | 472 | 0.9790 | 0.6069 | 0.9790 | 0.9894 |
| No log | 8.1724 | 474 | 1.0370 | 0.5815 | 1.0370 | 1.0183 |
| No log | 8.2069 | 476 | 1.0813 | 0.5770 | 1.0813 | 1.0399 |
| No log | 8.2414 | 478 | 1.1153 | 0.5604 | 1.1153 | 1.0561 |
| No log | 8.2759 | 480 | 1.1311 | 0.5628 | 1.1311 | 1.0635 |
| No log | 8.3103 | 482 | 1.1247 | 0.5628 | 1.1247 | 1.0605 |
| No log | 8.3448 | 484 | 1.0929 | 0.5781 | 1.0929 | 1.0454 |
| No log | 8.3793 | 486 | 1.0317 | 0.5905 | 1.0317 | 1.0157 |
| No log | 8.4138 | 488 | 0.9863 | 0.6056 | 0.9863 | 0.9931 |
| No log | 8.4483 | 490 | 0.9520 | 0.6115 | 0.9520 | 0.9757 |
| No log | 8.4828 | 492 | 0.9262 | 0.6240 | 0.9262 | 0.9624 |
| No log | 8.5172 | 494 | 0.9304 | 0.6240 | 0.9304 | 0.9646 |
| No log | 8.5517 | 496 | 0.9647 | 0.6069 | 0.9647 | 0.9822 |
| No log | 8.5862 | 498 | 0.9812 | 0.6011 | 0.9812 | 0.9906 |
| 0.3087 | 8.6207 | 500 | 1.0059 | 0.5885 | 1.0059 | 1.0030 |
| 0.3087 | 8.6552 | 502 | 1.0206 | 0.5885 | 1.0206 | 1.0102 |
| 0.3087 | 8.6897 | 504 | 1.0523 | 0.5848 | 1.0523 | 1.0258 |
| 0.3087 | 8.7241 | 506 | 1.0639 | 0.5758 | 1.0639 | 1.0315 |
| 0.3087 | 8.7586 | 508 | 1.0439 | 0.5907 | 1.0439 | 1.0217 |
| 0.3087 | 8.7931 | 510 | 1.0192 | 0.5839 | 1.0192 | 1.0096 |
| 0.3087 | 8.8276 | 512 | 0.9775 | 0.5912 | 0.9775 | 0.9887 |
| 0.3087 | 8.8621 | 514 | 0.9347 | 0.5985 | 0.9347 | 0.9668 |
| 0.3087 | 8.8966 | 516 | 0.9235 | 0.5985 | 0.9235 | 0.9610 |
| 0.3087 | 8.9310 | 518 | 0.9346 | 0.5985 | 0.9346 | 0.9667 |
| 0.3087 | 8.9655 | 520 | 0.9412 | 0.5985 | 0.9412 | 0.9702 |
| 0.3087 | 9.0 | 522 | 0.9473 | 0.5985 | 0.9473 | 0.9733 |
| 0.3087 | 9.0345 | 524 | 0.9503 | 0.5985 | 0.9503 | 0.9748 |
| 0.3087 | 9.0690 | 526 | 0.9647 | 0.5971 | 0.9647 | 0.9822 |
| 0.3087 | 9.1034 | 528 | 0.9841 | 0.5925 | 0.9841 | 0.9920 |
| 0.3087 | 9.1379 | 530 | 1.0043 | 0.6001 | 1.0043 | 1.0021 |
| 0.3087 | 9.1724 | 532 | 1.0138 | 0.6001 | 1.0138 | 1.0069 |
| 0.3087 | 9.2069 | 534 | 1.0217 | 0.6001 | 1.0217 | 1.0108 |
| 0.3087 | 9.2414 | 536 | 1.0120 | 0.6001 | 1.0120 | 1.0060 |
| 0.3087 | 9.2759 | 538 | 0.9962 | 0.6001 | 0.9962 | 0.9981 |
| 0.3087 | 9.3103 | 540 | 0.9767 | 0.5991 | 0.9767 | 0.9883 |
| 0.3087 | 9.3448 | 542 | 0.9693 | 0.6005 | 0.9693 | 0.9845 |
| 0.3087 | 9.3793 | 544 | 0.9568 | 0.6005 | 0.9568 | 0.9782 |
| 0.3087 | 9.4138 | 546 | 0.9486 | 0.6051 | 0.9486 | 0.9739 |
| 0.3087 | 9.4483 | 548 | 0.9412 | 0.6179 | 0.9412 | 0.9702 |
| 0.3087 | 9.4828 | 550 | 0.9406 | 0.6179 | 0.9406 | 0.9699 |
| 0.3087 | 9.5172 | 552 | 0.9380 | 0.6179 | 0.9380 | 0.9685 |
| 0.3087 | 9.5517 | 554 | 0.9313 | 0.6179 | 0.9313 | 0.9650 |
| 0.3087 | 9.5862 | 556 | 0.9198 | 0.6179 | 0.9198 | 0.9590 |
| 0.3087 | 9.6207 | 558 | 0.9165 | 0.6179 | 0.9165 | 0.9574 |
| 0.3087 | 9.6552 | 560 | 0.9139 | 0.6179 | 0.9139 | 0.9560 |
| 0.3087 | 9.6897 | 562 | 0.9153 | 0.6225 | 0.9153 | 0.9567 |
| 0.3087 | 9.7241 | 564 | 0.9199 | 0.6179 | 0.9199 | 0.9591 |
| 0.3087 | 9.7586 | 566 | 0.9266 | 0.6179 | 0.9266 | 0.9626 |
| 0.3087 | 9.7931 | 568 | 0.9287 | 0.6179 | 0.9287 | 0.9637 |
| 0.3087 | 9.8276 | 570 | 0.9311 | 0.6179 | 0.9311 | 0.9649 |
| 0.3087 | 9.8621 | 572 | 0.9315 | 0.6179 | 0.9315 | 0.9651 |
| 0.3087 | 9.8966 | 574 | 0.9331 | 0.6179 | 0.9331 | 0.9660 |
| 0.3087 | 9.9310 | 576 | 0.9344 | 0.6179 | 0.9344 | 0.9667 |
| 0.3087 | 9.9655 | 578 | 0.9356 | 0.6179 | 0.9356 | 0.9673 |
| 0.3087 | 10.0 | 580 | 0.9365 | 0.6179 | 0.9365 | 0.9677 |
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/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization
Base model
aubmindlab/bert-base-arabertv02