Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_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: 1.0283
- Qwk: 0.2587
- Mse: 1.0283
- Rmse: 1.0140
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 | 0.0328 | 2 | 4.9329 | 0.0010 | 4.9329 | 2.2210 |
| No log | 0.0656 | 4 | 2.9767 | -0.0276 | 2.9767 | 1.7253 |
| No log | 0.0984 | 6 | 2.1454 | -0.0634 | 2.1454 | 1.4647 |
| No log | 0.1311 | 8 | 1.8085 | 0.0062 | 1.8085 | 1.3448 |
| No log | 0.1639 | 10 | 1.4801 | -0.0211 | 1.4801 | 1.2166 |
| No log | 0.1967 | 12 | 1.3134 | 0.0777 | 1.3134 | 1.1460 |
| No log | 0.2295 | 14 | 1.2963 | 0.0324 | 1.2963 | 1.1385 |
| No log | 0.2623 | 16 | 1.3703 | -0.0147 | 1.3703 | 1.1706 |
| No log | 0.2951 | 18 | 1.5798 | -0.0674 | 1.5798 | 1.2569 |
| No log | 0.3279 | 20 | 1.7228 | 0.0078 | 1.7228 | 1.3126 |
| No log | 0.3607 | 22 | 1.5746 | 0.0549 | 1.5746 | 1.2548 |
| No log | 0.3934 | 24 | 1.4460 | 0.0319 | 1.4460 | 1.2025 |
| No log | 0.4262 | 26 | 1.4687 | -0.0029 | 1.4687 | 1.2119 |
| No log | 0.4590 | 28 | 1.4606 | 0.0189 | 1.4606 | 1.2085 |
| No log | 0.4918 | 30 | 1.4770 | -0.0132 | 1.4770 | 1.2153 |
| No log | 0.5246 | 32 | 1.2853 | -0.0165 | 1.2853 | 1.1337 |
| No log | 0.5574 | 34 | 1.2136 | 0.1417 | 1.2136 | 1.1016 |
| No log | 0.5902 | 36 | 1.2321 | 0.0353 | 1.2321 | 1.1100 |
| No log | 0.6230 | 38 | 1.2099 | 0.1417 | 1.2099 | 1.1000 |
| No log | 0.6557 | 40 | 1.1978 | 0.2083 | 1.1978 | 1.0945 |
| No log | 0.6885 | 42 | 1.1998 | 0.1507 | 1.1998 | 1.0954 |
| No log | 0.7213 | 44 | 1.3215 | 0.0984 | 1.3215 | 1.1495 |
| No log | 0.7541 | 46 | 1.3721 | 0.1016 | 1.3721 | 1.1714 |
| No log | 0.7869 | 48 | 1.3178 | 0.1076 | 1.3178 | 1.1480 |
| No log | 0.8197 | 50 | 1.2741 | 0.0676 | 1.2741 | 1.1287 |
| No log | 0.8525 | 52 | 1.3286 | 0.2020 | 1.3286 | 1.1527 |
| No log | 0.8852 | 54 | 1.3174 | 0.1709 | 1.3174 | 1.1478 |
| No log | 0.9180 | 56 | 1.3585 | 0.2552 | 1.3585 | 1.1656 |
| No log | 0.9508 | 58 | 1.4302 | 0.1457 | 1.4302 | 1.1959 |
| No log | 0.9836 | 60 | 1.3775 | 0.0901 | 1.3775 | 1.1737 |
| No log | 1.0164 | 62 | 1.4856 | 0.0046 | 1.4856 | 1.2188 |
| No log | 1.0492 | 64 | 1.5382 | 0.0486 | 1.5382 | 1.2403 |
| No log | 1.0820 | 66 | 1.5552 | 0.1403 | 1.5552 | 1.2471 |
| No log | 1.1148 | 68 | 1.3569 | 0.1100 | 1.3569 | 1.1649 |
| No log | 1.1475 | 70 | 1.7634 | 0.1814 | 1.7634 | 1.3279 |
| No log | 1.1803 | 72 | 2.0794 | 0.1431 | 2.0794 | 1.4420 |
| No log | 1.2131 | 74 | 1.6338 | 0.2572 | 1.6338 | 1.2782 |
| No log | 1.2459 | 76 | 1.2060 | 0.1995 | 1.2060 | 1.0982 |
| No log | 1.2787 | 78 | 1.2677 | 0.1354 | 1.2677 | 1.1259 |
| No log | 1.3115 | 80 | 1.2145 | 0.2251 | 1.2145 | 1.1020 |
| No log | 1.3443 | 82 | 1.1869 | 0.3396 | 1.1869 | 1.0894 |
| No log | 1.3770 | 84 | 1.3696 | 0.1763 | 1.3696 | 1.1703 |
| No log | 1.4098 | 86 | 1.5043 | 0.2658 | 1.5043 | 1.2265 |
| No log | 1.4426 | 88 | 1.3213 | 0.2069 | 1.3213 | 1.1495 |
| No log | 1.4754 | 90 | 1.0920 | 0.3210 | 1.0920 | 1.0450 |
| No log | 1.5082 | 92 | 1.0251 | 0.3660 | 1.0251 | 1.0125 |
| No log | 1.5410 | 94 | 0.9576 | 0.3660 | 0.9576 | 0.9786 |
| No log | 1.5738 | 96 | 0.8756 | 0.3952 | 0.8756 | 0.9357 |
| No log | 1.6066 | 98 | 1.1027 | 0.3596 | 1.1027 | 1.0501 |
| No log | 1.6393 | 100 | 0.9661 | 0.3844 | 0.9661 | 0.9829 |
| No log | 1.6721 | 102 | 0.8026 | 0.3278 | 0.8026 | 0.8959 |
| No log | 1.7049 | 104 | 0.7842 | 0.2967 | 0.7842 | 0.8855 |
| No log | 1.7377 | 106 | 0.7988 | 0.3820 | 0.7988 | 0.8937 |
| No log | 1.7705 | 108 | 0.7989 | 0.3535 | 0.7989 | 0.8938 |
| No log | 1.8033 | 110 | 0.8107 | 0.4916 | 0.8107 | 0.9004 |
| No log | 1.8361 | 112 | 0.8435 | 0.4303 | 0.8435 | 0.9184 |
| No log | 1.8689 | 114 | 0.9528 | 0.3887 | 0.9528 | 0.9761 |
| No log | 1.9016 | 116 | 1.3421 | 0.4310 | 1.3421 | 1.1585 |
| No log | 1.9344 | 118 | 1.0046 | 0.4588 | 1.0046 | 1.0023 |
| No log | 1.9672 | 120 | 0.8509 | 0.5012 | 0.8509 | 0.9224 |
| No log | 2.0 | 122 | 1.1856 | 0.5283 | 1.1856 | 1.0889 |
| No log | 2.0328 | 124 | 1.2796 | 0.4902 | 1.2796 | 1.1312 |
| No log | 2.0656 | 126 | 0.9614 | 0.5290 | 0.9614 | 0.9805 |
| No log | 2.0984 | 128 | 0.7961 | 0.4912 | 0.7961 | 0.8923 |
| No log | 2.1311 | 130 | 0.9974 | 0.4578 | 0.9974 | 0.9987 |
| No log | 2.1639 | 132 | 0.9700 | 0.4578 | 0.9700 | 0.9849 |
| No log | 2.1967 | 134 | 0.8423 | 0.4124 | 0.8423 | 0.9178 |
| No log | 2.2295 | 136 | 0.8883 | 0.4181 | 0.8883 | 0.9425 |
| No log | 2.2623 | 138 | 0.9196 | 0.2969 | 0.9196 | 0.9589 |
| No log | 2.2951 | 140 | 0.9602 | 0.2944 | 0.9602 | 0.9799 |
| No log | 2.3279 | 142 | 1.0209 | 0.2417 | 1.0209 | 1.0104 |
| No log | 2.3607 | 144 | 1.2763 | 0.2959 | 1.2763 | 1.1297 |
| No log | 2.3934 | 146 | 1.3454 | 0.2295 | 1.3454 | 1.1599 |
| No log | 2.4262 | 148 | 1.1968 | 0.2815 | 1.1968 | 1.0940 |
| No log | 2.4590 | 150 | 1.1273 | 0.1709 | 1.1273 | 1.0617 |
| No log | 2.4918 | 152 | 1.2537 | 0.4063 | 1.2537 | 1.1197 |
| No log | 2.5246 | 154 | 1.3448 | 0.2925 | 1.3448 | 1.1597 |
| No log | 2.5574 | 156 | 1.2219 | 0.3474 | 1.2219 | 1.1054 |
| No log | 2.5902 | 158 | 1.1140 | 0.2341 | 1.1140 | 1.0554 |
| No log | 2.6230 | 160 | 1.1072 | 0.2793 | 1.1072 | 1.0522 |
| No log | 2.6557 | 162 | 1.1089 | 0.2694 | 1.1089 | 1.0531 |
| No log | 2.6885 | 164 | 1.1348 | 0.2567 | 1.1348 | 1.0653 |
| No log | 2.7213 | 166 | 1.1050 | 0.2919 | 1.1050 | 1.0512 |
| No log | 2.7541 | 168 | 1.0936 | 0.3387 | 1.0936 | 1.0457 |
| No log | 2.7869 | 170 | 1.1209 | 0.2953 | 1.1209 | 1.0587 |
| No log | 2.8197 | 172 | 1.1183 | 0.3326 | 1.1183 | 1.0575 |
| No log | 2.8525 | 174 | 1.0871 | 0.2899 | 1.0871 | 1.0427 |
| No log | 2.8852 | 176 | 1.0130 | 0.2711 | 1.0130 | 1.0065 |
| No log | 2.9180 | 178 | 1.0050 | 0.1753 | 1.0050 | 1.0025 |
| No log | 2.9508 | 180 | 0.9970 | 0.1952 | 0.9970 | 0.9985 |
| No log | 2.9836 | 182 | 1.0407 | 0.3302 | 1.0407 | 1.0201 |
| No log | 3.0164 | 184 | 1.1055 | 0.3879 | 1.1055 | 1.0514 |
| No log | 3.0492 | 186 | 1.0209 | 0.3365 | 1.0209 | 1.0104 |
| No log | 3.0820 | 188 | 0.9139 | 0.2726 | 0.9139 | 0.9560 |
| No log | 3.1148 | 190 | 0.9585 | 0.4078 | 0.9585 | 0.9790 |
| No log | 3.1475 | 192 | 0.9202 | 0.4113 | 0.9202 | 0.9593 |
| No log | 3.1803 | 194 | 0.8845 | 0.4011 | 0.8845 | 0.9405 |
| No log | 3.2131 | 196 | 1.0323 | 0.4745 | 1.0323 | 1.0160 |
| No log | 3.2459 | 198 | 1.0422 | 0.4563 | 1.0422 | 1.0209 |
| No log | 3.2787 | 200 | 0.9205 | 0.4341 | 0.9205 | 0.9594 |
| No log | 3.3115 | 202 | 0.8679 | 0.3943 | 0.8679 | 0.9316 |
| No log | 3.3443 | 204 | 0.8859 | 0.4120 | 0.8859 | 0.9412 |
| No log | 3.3770 | 206 | 0.9498 | 0.3942 | 0.9498 | 0.9746 |
| No log | 3.4098 | 208 | 0.9074 | 0.3627 | 0.9074 | 0.9526 |
| No log | 3.4426 | 210 | 0.9108 | 0.3621 | 0.9108 | 0.9543 |
| No log | 3.4754 | 212 | 0.9693 | 0.4390 | 0.9693 | 0.9846 |
| No log | 3.5082 | 214 | 1.0279 | 0.4468 | 1.0279 | 1.0138 |
| No log | 3.5410 | 216 | 0.9531 | 0.3982 | 0.9531 | 0.9763 |
| No log | 3.5738 | 218 | 0.9340 | 0.4013 | 0.9340 | 0.9665 |
| No log | 3.6066 | 220 | 0.9222 | 0.2712 | 0.9222 | 0.9603 |
| No log | 3.6393 | 222 | 1.0136 | 0.4116 | 1.0136 | 1.0068 |
| No log | 3.6721 | 224 | 1.0069 | 0.3839 | 1.0069 | 1.0034 |
| No log | 3.7049 | 226 | 0.9362 | 0.2714 | 0.9362 | 0.9676 |
| No log | 3.7377 | 228 | 0.9988 | 0.3306 | 0.9988 | 0.9994 |
| No log | 3.7705 | 230 | 1.1906 | 0.4367 | 1.1906 | 1.0911 |
| No log | 3.8033 | 232 | 1.2400 | 0.4027 | 1.2400 | 1.1136 |
| No log | 3.8361 | 234 | 1.0874 | 0.3924 | 1.0874 | 1.0428 |
| No log | 3.8689 | 236 | 0.9541 | 0.3820 | 0.9541 | 0.9768 |
| No log | 3.9016 | 238 | 0.9411 | 0.2712 | 0.9411 | 0.9701 |
| No log | 3.9344 | 240 | 0.9380 | 0.2712 | 0.9380 | 0.9685 |
| No log | 3.9672 | 242 | 0.9100 | 0.3804 | 0.9100 | 0.9539 |
| No log | 4.0 | 244 | 0.9417 | 0.4805 | 0.9417 | 0.9704 |
| No log | 4.0328 | 246 | 0.9204 | 0.3995 | 0.9204 | 0.9594 |
| No log | 4.0656 | 248 | 0.9143 | 0.4032 | 0.9143 | 0.9562 |
| No log | 4.0984 | 250 | 0.9834 | 0.4156 | 0.9834 | 0.9916 |
| No log | 4.1311 | 252 | 1.1820 | 0.4355 | 1.1820 | 1.0872 |
| No log | 4.1639 | 254 | 1.2312 | 0.3792 | 1.2312 | 1.1096 |
| No log | 4.1967 | 256 | 1.1074 | 0.4404 | 1.1074 | 1.0523 |
| No log | 4.2295 | 258 | 1.0391 | 0.3644 | 1.0391 | 1.0193 |
| No log | 4.2623 | 260 | 0.9727 | 0.4032 | 0.9727 | 0.9862 |
| No log | 4.2951 | 262 | 1.0251 | 0.3892 | 1.0251 | 1.0125 |
| No log | 4.3279 | 264 | 1.0297 | 0.3747 | 1.0297 | 1.0147 |
| No log | 4.3607 | 266 | 0.9865 | 0.3185 | 0.9865 | 0.9932 |
| No log | 4.3934 | 268 | 0.9991 | 0.2344 | 0.9991 | 0.9995 |
| No log | 4.4262 | 270 | 1.0153 | 0.2489 | 1.0153 | 1.0076 |
| No log | 4.4590 | 272 | 1.0212 | 0.3621 | 1.0212 | 1.0105 |
| No log | 4.4918 | 274 | 1.1021 | 0.3560 | 1.1021 | 1.0498 |
| No log | 4.5246 | 276 | 1.0639 | 0.3533 | 1.0639 | 1.0314 |
| No log | 4.5574 | 278 | 1.0263 | 0.2579 | 1.0263 | 1.0131 |
| No log | 4.5902 | 280 | 1.0650 | 0.1974 | 1.0650 | 1.0320 |
| No log | 4.6230 | 282 | 1.0958 | 0.1576 | 1.0958 | 1.0468 |
| No log | 4.6557 | 284 | 1.0970 | 0.1576 | 1.0970 | 1.0474 |
| No log | 4.6885 | 286 | 1.0663 | 0.1928 | 1.0663 | 1.0326 |
| No log | 4.7213 | 288 | 1.0123 | 0.2409 | 1.0123 | 1.0061 |
| No log | 4.7541 | 290 | 0.9863 | 0.2793 | 0.9863 | 0.9931 |
| No log | 4.7869 | 292 | 0.9828 | 0.3263 | 0.9828 | 0.9914 |
| No log | 4.8197 | 294 | 0.9616 | 0.3371 | 0.9616 | 0.9806 |
| No log | 4.8525 | 296 | 0.9686 | 0.2871 | 0.9686 | 0.9842 |
| No log | 4.8852 | 298 | 0.9739 | 0.3312 | 0.9739 | 0.9869 |
| No log | 4.9180 | 300 | 0.9532 | 0.3511 | 0.9532 | 0.9763 |
| No log | 4.9508 | 302 | 0.9747 | 0.4013 | 0.9747 | 0.9873 |
| No log | 4.9836 | 304 | 1.1608 | 0.4487 | 1.1608 | 1.0774 |
| No log | 5.0164 | 306 | 1.1988 | 0.4293 | 1.1988 | 1.0949 |
| No log | 5.0492 | 308 | 1.0593 | 0.4851 | 1.0593 | 1.0292 |
| No log | 5.0820 | 310 | 0.9208 | 0.4050 | 0.9208 | 0.9596 |
| No log | 5.1148 | 312 | 0.9109 | 0.4048 | 0.9109 | 0.9544 |
| No log | 5.1475 | 314 | 0.9826 | 0.4412 | 0.9826 | 0.9913 |
| No log | 5.1803 | 316 | 1.2808 | 0.3974 | 1.2808 | 1.1317 |
| No log | 5.2131 | 318 | 1.4466 | 0.3074 | 1.4466 | 1.2028 |
| No log | 5.2459 | 320 | 1.3096 | 0.3785 | 1.3096 | 1.1444 |
| No log | 5.2787 | 322 | 1.1022 | 0.3962 | 1.1022 | 1.0498 |
| No log | 5.3115 | 324 | 0.9627 | 0.3522 | 0.9627 | 0.9812 |
| No log | 5.3443 | 326 | 0.9650 | 0.2439 | 0.9650 | 0.9823 |
| No log | 5.3770 | 328 | 0.9844 | 0.3294 | 0.9844 | 0.9922 |
| No log | 5.4098 | 330 | 0.9630 | 0.2775 | 0.9630 | 0.9813 |
| No log | 5.4426 | 332 | 0.9940 | 0.3920 | 0.9940 | 0.9970 |
| No log | 5.4754 | 334 | 1.0907 | 0.3394 | 1.0907 | 1.0444 |
| No log | 5.5082 | 336 | 1.1080 | 0.3394 | 1.1080 | 1.0526 |
| No log | 5.5410 | 338 | 1.0368 | 0.3753 | 1.0368 | 1.0182 |
| No log | 5.5738 | 340 | 0.9725 | 0.3317 | 0.9725 | 0.9861 |
| No log | 5.6066 | 342 | 0.9409 | 0.2993 | 0.9409 | 0.9700 |
| No log | 5.6393 | 344 | 0.9438 | 0.2678 | 0.9438 | 0.9715 |
| No log | 5.6721 | 346 | 0.9629 | 0.2520 | 0.9629 | 0.9813 |
| No log | 5.7049 | 348 | 0.9880 | 0.2674 | 0.9880 | 0.9940 |
| No log | 5.7377 | 350 | 1.0138 | 0.3048 | 1.0138 | 1.0069 |
| No log | 5.7705 | 352 | 0.9956 | 0.2674 | 0.9956 | 0.9978 |
| No log | 5.8033 | 354 | 0.9750 | 0.2574 | 0.9750 | 0.9874 |
| No log | 5.8361 | 356 | 1.0486 | 0.4213 | 1.0486 | 1.0240 |
| No log | 5.8689 | 358 | 1.3144 | 0.3020 | 1.3144 | 1.1465 |
| No log | 5.9016 | 360 | 1.4710 | 0.2908 | 1.4710 | 1.2129 |
| No log | 5.9344 | 362 | 1.3128 | 0.3780 | 1.3128 | 1.1458 |
| No log | 5.9672 | 364 | 1.0232 | 0.5037 | 1.0232 | 1.0115 |
| No log | 6.0 | 366 | 0.9172 | 0.3566 | 0.9172 | 0.9577 |
| No log | 6.0328 | 368 | 0.9156 | 0.3897 | 0.9156 | 0.9569 |
| No log | 6.0656 | 370 | 0.8986 | 0.3930 | 0.8986 | 0.9479 |
| No log | 6.0984 | 372 | 0.9815 | 0.4570 | 0.9815 | 0.9907 |
| No log | 6.1311 | 374 | 1.0494 | 0.4880 | 1.0494 | 1.0244 |
| No log | 6.1639 | 376 | 1.0075 | 0.4957 | 1.0075 | 1.0037 |
| No log | 6.1967 | 378 | 0.9207 | 0.4197 | 0.9207 | 0.9595 |
| No log | 6.2295 | 380 | 0.9260 | 0.3705 | 0.9260 | 0.9623 |
| No log | 6.2623 | 382 | 1.0255 | 0.3343 | 1.0255 | 1.0127 |
| No log | 6.2951 | 384 | 1.0570 | 0.3809 | 1.0570 | 1.0281 |
| No log | 6.3279 | 386 | 0.9778 | 0.4087 | 0.9778 | 0.9888 |
| No log | 6.3607 | 388 | 0.9203 | 0.4479 | 0.9203 | 0.9593 |
| No log | 6.3934 | 390 | 0.9382 | 0.4007 | 0.9382 | 0.9686 |
| No log | 6.4262 | 392 | 0.9460 | 0.4741 | 0.9460 | 0.9726 |
| No log | 6.4590 | 394 | 0.9077 | 0.4617 | 0.9077 | 0.9527 |
| No log | 6.4918 | 396 | 0.9203 | 0.4087 | 0.9203 | 0.9593 |
| No log | 6.5246 | 398 | 0.9354 | 0.4308 | 0.9354 | 0.9672 |
| No log | 6.5574 | 400 | 0.9179 | 0.4087 | 0.9179 | 0.9581 |
| No log | 6.5902 | 402 | 0.9533 | 0.4238 | 0.9533 | 0.9764 |
| No log | 6.6230 | 404 | 1.0059 | 0.4110 | 1.0059 | 1.0029 |
| No log | 6.6557 | 406 | 0.9939 | 0.4110 | 0.9939 | 0.9969 |
| No log | 6.6885 | 408 | 0.9297 | 0.3762 | 0.9297 | 0.9642 |
| No log | 6.7213 | 410 | 0.9203 | 0.3960 | 0.9203 | 0.9593 |
| No log | 6.7541 | 412 | 0.9881 | 0.4507 | 0.9881 | 0.9940 |
| No log | 6.7869 | 414 | 0.9965 | 0.4507 | 0.9965 | 0.9983 |
| No log | 6.8197 | 416 | 0.9614 | 0.3970 | 0.9614 | 0.9805 |
| No log | 6.8525 | 418 | 0.9510 | 0.3070 | 0.9510 | 0.9752 |
| No log | 6.8852 | 420 | 0.9939 | 0.3418 | 0.9939 | 0.9969 |
| No log | 6.9180 | 422 | 1.0211 | 0.3777 | 1.0211 | 1.0105 |
| No log | 6.9508 | 424 | 0.9954 | 0.3577 | 0.9954 | 0.9977 |
| No log | 6.9836 | 426 | 0.9663 | 0.3508 | 0.9663 | 0.9830 |
| No log | 7.0164 | 428 | 0.9753 | 0.3392 | 0.9753 | 0.9875 |
| No log | 7.0492 | 430 | 0.9739 | 0.3392 | 0.9739 | 0.9868 |
| No log | 7.0820 | 432 | 0.9686 | 0.3652 | 0.9686 | 0.9842 |
| No log | 7.1148 | 434 | 0.9806 | 0.3771 | 0.9806 | 0.9902 |
| No log | 7.1475 | 436 | 1.0729 | 0.3848 | 1.0729 | 1.0358 |
| No log | 7.1803 | 438 | 1.1289 | 0.3424 | 1.1289 | 1.0625 |
| No log | 7.2131 | 440 | 1.0867 | 0.3848 | 1.0867 | 1.0424 |
| No log | 7.2459 | 442 | 0.9951 | 0.4107 | 0.9951 | 0.9975 |
| No log | 7.2787 | 444 | 0.9427 | 0.3565 | 0.9427 | 0.9709 |
| No log | 7.3115 | 446 | 0.9847 | 0.3813 | 0.9847 | 0.9923 |
| No log | 7.3443 | 448 | 1.0340 | 0.3546 | 1.0340 | 1.0168 |
| No log | 7.3770 | 450 | 0.9837 | 0.4042 | 0.9837 | 0.9918 |
| No log | 7.4098 | 452 | 0.9445 | 0.4102 | 0.9445 | 0.9719 |
| No log | 7.4426 | 454 | 0.9304 | 0.3705 | 0.9304 | 0.9646 |
| No log | 7.4754 | 456 | 0.9645 | 0.3762 | 0.9645 | 0.9821 |
| No log | 7.5082 | 458 | 1.0334 | 0.3834 | 1.0334 | 1.0166 |
| No log | 7.5410 | 460 | 1.0478 | 0.3317 | 1.0478 | 1.0236 |
| No log | 7.5738 | 462 | 1.0141 | 0.3317 | 1.0141 | 1.0070 |
| No log | 7.6066 | 464 | 0.9863 | 0.3326 | 0.9863 | 0.9931 |
| No log | 7.6393 | 466 | 0.9659 | 0.3223 | 0.9659 | 0.9828 |
| No log | 7.6721 | 468 | 0.9522 | 0.3392 | 0.9522 | 0.9758 |
| No log | 7.7049 | 470 | 0.9354 | 0.3539 | 0.9354 | 0.9672 |
| No log | 7.7377 | 472 | 0.9245 | 0.3705 | 0.9245 | 0.9615 |
| No log | 7.7705 | 474 | 0.9440 | 0.3508 | 0.9440 | 0.9716 |
| No log | 7.8033 | 476 | 1.0287 | 0.4072 | 1.0287 | 1.0142 |
| No log | 7.8361 | 478 | 1.0590 | 0.3908 | 1.0590 | 1.0291 |
| No log | 7.8689 | 480 | 1.0473 | 0.3945 | 1.0473 | 1.0234 |
| No log | 7.9016 | 482 | 1.0383 | 0.3707 | 1.0383 | 1.0190 |
| No log | 7.9344 | 484 | 1.0041 | 0.3720 | 1.0041 | 1.0020 |
| No log | 7.9672 | 486 | 0.9870 | 0.3463 | 0.9870 | 0.9935 |
| No log | 8.0 | 488 | 0.9821 | 0.3463 | 0.9821 | 0.9910 |
| No log | 8.0328 | 490 | 1.0073 | 0.3169 | 1.0073 | 1.0036 |
| No log | 8.0656 | 492 | 1.0297 | 0.3434 | 1.0297 | 1.0147 |
| No log | 8.0984 | 494 | 1.0446 | 0.3308 | 1.0446 | 1.0221 |
| No log | 8.1311 | 496 | 1.0774 | 0.3359 | 1.0774 | 1.0380 |
| No log | 8.1639 | 498 | 1.0706 | 0.3359 | 1.0706 | 1.0347 |
| 0.3563 | 8.1967 | 500 | 1.0368 | 0.3716 | 1.0368 | 1.0182 |
| 0.3563 | 8.2295 | 502 | 0.9732 | 0.3729 | 0.9732 | 0.9865 |
| 0.3563 | 8.2623 | 504 | 0.9176 | 0.3811 | 0.9176 | 0.9579 |
| 0.3563 | 8.2951 | 506 | 0.8941 | 0.3565 | 0.8941 | 0.9455 |
| 0.3563 | 8.3279 | 508 | 0.9025 | 0.3508 | 0.9025 | 0.9500 |
| 0.3563 | 8.3607 | 510 | 0.9596 | 0.3827 | 0.9596 | 0.9796 |
| 0.3563 | 8.3934 | 512 | 1.0528 | 0.3556 | 1.0528 | 1.0261 |
| 0.3563 | 8.4262 | 514 | 1.1966 | 0.3706 | 1.1966 | 1.0939 |
| 0.3563 | 8.4590 | 516 | 1.2295 | 0.3324 | 1.2295 | 1.1088 |
| 0.3563 | 8.4918 | 518 | 1.1752 | 0.3706 | 1.1752 | 1.0841 |
| 0.3563 | 8.5246 | 520 | 1.0430 | 0.3908 | 1.0430 | 1.0213 |
| 0.3563 | 8.5574 | 522 | 0.9770 | 0.3861 | 0.9770 | 0.9884 |
| 0.3563 | 8.5902 | 524 | 0.9653 | 0.3508 | 0.9653 | 0.9825 |
| 0.3563 | 8.6230 | 526 | 0.9800 | 0.3243 | 0.9800 | 0.9899 |
| 0.3563 | 8.6557 | 528 | 0.9943 | 0.3243 | 0.9943 | 0.9972 |
| 0.3563 | 8.6885 | 530 | 1.0042 | 0.3243 | 1.0042 | 1.0021 |
| 0.3563 | 8.7213 | 532 | 1.0283 | 0.2587 | 1.0283 | 1.0140 |
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/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k20_task2_organization
Base model
aubmindlab/bert-base-arabertv02