Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_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: 0.9339
- Qwk: 0.3930
- Mse: 0.9339
- Rmse: 0.9664
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 | 0.0225 | 2 | 4.7931 | 0.0010 | 4.7931 | 2.1893 |
| No log | 0.0449 | 4 | 3.3275 | -0.0767 | 3.3275 | 1.8241 |
| No log | 0.0674 | 6 | 2.7562 | -0.0942 | 2.7562 | 1.6602 |
| No log | 0.0899 | 8 | 2.1044 | -0.0370 | 2.1044 | 1.4507 |
| No log | 0.1124 | 10 | 1.6908 | -0.0606 | 1.6908 | 1.3003 |
| No log | 0.1348 | 12 | 1.4276 | 0.0571 | 1.4276 | 1.1948 |
| No log | 0.1573 | 14 | 1.5557 | -0.0641 | 1.5557 | 1.2473 |
| No log | 0.1798 | 16 | 2.5511 | -0.0595 | 2.5511 | 1.5972 |
| No log | 0.2022 | 18 | 4.1038 | -0.0302 | 4.1038 | 2.0258 |
| No log | 0.2247 | 20 | 3.5568 | 0.0339 | 3.5568 | 1.8859 |
| No log | 0.2472 | 22 | 2.1477 | -0.0007 | 2.1477 | 1.4655 |
| No log | 0.2697 | 24 | 1.3367 | 0.0860 | 1.3367 | 1.1562 |
| No log | 0.2921 | 26 | 1.3278 | 0.1505 | 1.3278 | 1.1523 |
| No log | 0.3146 | 28 | 1.4919 | 0.1851 | 1.4919 | 1.2214 |
| No log | 0.3371 | 30 | 1.7672 | 0.1857 | 1.7672 | 1.3294 |
| No log | 0.3596 | 32 | 2.1513 | 0.1243 | 2.1513 | 1.4667 |
| No log | 0.3820 | 34 | 2.5720 | 0.0851 | 2.5720 | 1.6038 |
| No log | 0.4045 | 36 | 2.1984 | 0.1314 | 2.1984 | 1.4827 |
| No log | 0.4270 | 38 | 1.5499 | 0.26 | 1.5499 | 1.2449 |
| No log | 0.4494 | 40 | 1.1333 | 0.1542 | 1.1333 | 1.0646 |
| No log | 0.4719 | 42 | 1.0715 | 0.2579 | 1.0715 | 1.0351 |
| No log | 0.4944 | 44 | 1.0718 | 0.3091 | 1.0718 | 1.0353 |
| No log | 0.5169 | 46 | 1.0704 | 0.2988 | 1.0704 | 1.0346 |
| No log | 0.5393 | 48 | 1.2193 | 0.1255 | 1.2193 | 1.1042 |
| No log | 0.5618 | 50 | 1.3700 | 0.2261 | 1.3700 | 1.1705 |
| No log | 0.5843 | 52 | 1.2817 | 0.1943 | 1.2817 | 1.1321 |
| No log | 0.6067 | 54 | 1.3499 | 0.2539 | 1.3499 | 1.1619 |
| No log | 0.6292 | 56 | 1.6869 | 0.2380 | 1.6869 | 1.2988 |
| No log | 0.6517 | 58 | 1.8231 | 0.2398 | 1.8231 | 1.3502 |
| No log | 0.6742 | 60 | 1.4761 | 0.2791 | 1.4761 | 1.2149 |
| No log | 0.6966 | 62 | 1.2907 | 0.2366 | 1.2907 | 1.1361 |
| No log | 0.7191 | 64 | 1.2736 | 0.2069 | 1.2736 | 1.1285 |
| No log | 0.7416 | 66 | 1.5277 | 0.2572 | 1.5277 | 1.2360 |
| No log | 0.7640 | 68 | 1.9594 | 0.2226 | 1.9594 | 1.3998 |
| No log | 0.7865 | 70 | 2.3935 | 0.1757 | 2.3935 | 1.5471 |
| No log | 0.8090 | 72 | 2.1311 | 0.2249 | 2.1311 | 1.4598 |
| No log | 0.8315 | 74 | 1.5772 | 0.1038 | 1.5772 | 1.2559 |
| No log | 0.8539 | 76 | 1.2082 | 0.1314 | 1.2082 | 1.0992 |
| No log | 0.8764 | 78 | 1.0980 | 0.2432 | 1.0980 | 1.0479 |
| No log | 0.8989 | 80 | 1.0694 | 0.3467 | 1.0694 | 1.0341 |
| No log | 0.9213 | 82 | 1.0372 | 0.3685 | 1.0372 | 1.0185 |
| No log | 0.9438 | 84 | 1.0369 | 0.3263 | 1.0369 | 1.0183 |
| No log | 0.9663 | 86 | 1.1637 | 0.1743 | 1.1637 | 1.0787 |
| No log | 0.9888 | 88 | 1.6285 | 0.2963 | 1.6285 | 1.2761 |
| No log | 1.0112 | 90 | 1.7464 | 0.2839 | 1.7464 | 1.3215 |
| No log | 1.0337 | 92 | 1.6306 | 0.3058 | 1.6306 | 1.2769 |
| No log | 1.0562 | 94 | 1.4205 | 0.3243 | 1.4205 | 1.1918 |
| No log | 1.0787 | 96 | 1.1821 | 0.3707 | 1.1821 | 1.0872 |
| No log | 1.1011 | 98 | 1.0075 | 0.3685 | 1.0075 | 1.0038 |
| No log | 1.1236 | 100 | 0.9220 | 0.4810 | 0.9220 | 0.9602 |
| No log | 1.1461 | 102 | 0.9497 | 0.4196 | 0.9497 | 0.9745 |
| No log | 1.1685 | 104 | 1.0132 | 0.2730 | 1.0132 | 1.0066 |
| No log | 1.1910 | 106 | 1.1680 | 0.2140 | 1.1680 | 1.0808 |
| No log | 1.2135 | 108 | 1.3867 | 0.2117 | 1.3867 | 1.1776 |
| No log | 1.2360 | 110 | 1.3370 | 0.1984 | 1.3370 | 1.1563 |
| No log | 1.2584 | 112 | 1.1585 | 0.2627 | 1.1585 | 1.0763 |
| No log | 1.2809 | 114 | 1.2202 | 0.3238 | 1.2202 | 1.1046 |
| No log | 1.3034 | 116 | 1.1808 | 0.2985 | 1.1808 | 1.0866 |
| No log | 1.3258 | 118 | 1.1751 | 0.3533 | 1.1751 | 1.0840 |
| No log | 1.3483 | 120 | 1.1034 | 0.3790 | 1.1034 | 1.0504 |
| No log | 1.3708 | 122 | 1.0935 | 0.3790 | 1.0935 | 1.0457 |
| No log | 1.3933 | 124 | 1.0591 | 0.4832 | 1.0591 | 1.0291 |
| No log | 1.4157 | 126 | 1.1971 | 0.4282 | 1.1971 | 1.0941 |
| No log | 1.4382 | 128 | 1.7077 | 0.2670 | 1.7077 | 1.3068 |
| No log | 1.4607 | 130 | 1.7002 | 0.2934 | 1.7002 | 1.3039 |
| No log | 1.4831 | 132 | 1.3053 | 0.3935 | 1.3053 | 1.1425 |
| No log | 1.5056 | 134 | 1.1217 | 0.3542 | 1.1217 | 1.0591 |
| No log | 1.5281 | 136 | 1.1317 | 0.3663 | 1.1317 | 1.0638 |
| No log | 1.5506 | 138 | 1.2956 | 0.2900 | 1.2956 | 1.1383 |
| No log | 1.5730 | 140 | 1.3023 | 0.2660 | 1.3023 | 1.1412 |
| No log | 1.5955 | 142 | 1.1575 | 0.3202 | 1.1575 | 1.0759 |
| No log | 1.6180 | 144 | 1.2370 | 0.2660 | 1.2370 | 1.1122 |
| No log | 1.6404 | 146 | 1.2748 | 0.3067 | 1.2748 | 1.1291 |
| No log | 1.6629 | 148 | 1.0695 | 0.3877 | 1.0695 | 1.0342 |
| No log | 1.6854 | 150 | 1.0315 | 0.4480 | 1.0315 | 1.0156 |
| No log | 1.7079 | 152 | 1.0610 | 0.4819 | 1.0610 | 1.0300 |
| No log | 1.7303 | 154 | 1.4051 | 0.3056 | 1.4051 | 1.1854 |
| No log | 1.7528 | 156 | 1.6037 | 0.2511 | 1.6037 | 1.2664 |
| No log | 1.7753 | 158 | 1.3475 | 0.3318 | 1.3475 | 1.1608 |
| No log | 1.7978 | 160 | 1.0794 | 0.3887 | 1.0794 | 1.0389 |
| No log | 1.8202 | 162 | 1.1414 | 0.3333 | 1.1414 | 1.0684 |
| No log | 1.8427 | 164 | 1.1113 | 0.3822 | 1.1113 | 1.0542 |
| No log | 1.8652 | 166 | 1.1210 | 0.3012 | 1.1210 | 1.0588 |
| No log | 1.8876 | 168 | 1.6310 | 0.2828 | 1.6310 | 1.2771 |
| No log | 1.9101 | 170 | 1.9299 | 0.1401 | 1.9299 | 1.3892 |
| No log | 1.9326 | 172 | 1.7166 | 0.2383 | 1.7166 | 1.3102 |
| No log | 1.9551 | 174 | 1.2429 | 0.2851 | 1.2429 | 1.1148 |
| No log | 1.9775 | 176 | 1.0512 | 0.3243 | 1.0512 | 1.0253 |
| No log | 2.0 | 178 | 1.0683 | 0.2893 | 1.0683 | 1.0336 |
| No log | 2.0225 | 180 | 1.0749 | 0.2662 | 1.0749 | 1.0368 |
| No log | 2.0449 | 182 | 1.2280 | 0.2005 | 1.2280 | 1.1081 |
| No log | 2.0674 | 184 | 1.4202 | 0.2240 | 1.4202 | 1.1917 |
| No log | 2.0899 | 186 | 1.3721 | 0.2364 | 1.3721 | 1.1714 |
| No log | 2.1124 | 188 | 1.1583 | 0.2467 | 1.1583 | 1.0763 |
| No log | 2.1348 | 190 | 1.1181 | 0.3812 | 1.1181 | 1.0574 |
| No log | 2.1573 | 192 | 1.0703 | 0.4045 | 1.0703 | 1.0346 |
| No log | 2.1798 | 194 | 1.1284 | 0.4256 | 1.1284 | 1.0623 |
| No log | 2.2022 | 196 | 1.1494 | 0.3462 | 1.1494 | 1.0721 |
| No log | 2.2247 | 198 | 1.0966 | 0.2876 | 1.0966 | 1.0472 |
| No log | 2.2472 | 200 | 1.0075 | 0.3133 | 1.0075 | 1.0038 |
| No log | 2.2697 | 202 | 1.0238 | 0.2716 | 1.0238 | 1.0118 |
| No log | 2.2921 | 204 | 1.0985 | 0.2324 | 1.0985 | 1.0481 |
| No log | 2.3146 | 206 | 1.1555 | 0.2549 | 1.1555 | 1.0749 |
| No log | 2.3371 | 208 | 1.0119 | 0.2700 | 1.0119 | 1.0059 |
| No log | 2.3596 | 210 | 0.9490 | 0.3729 | 0.9490 | 0.9742 |
| No log | 2.3820 | 212 | 0.9359 | 0.5346 | 0.9359 | 0.9674 |
| No log | 2.4045 | 214 | 0.9746 | 0.3865 | 0.9746 | 0.9872 |
| No log | 2.4270 | 216 | 1.1167 | 0.4073 | 1.1167 | 1.0567 |
| No log | 2.4494 | 218 | 1.0899 | 0.3839 | 1.0899 | 1.0440 |
| No log | 2.4719 | 220 | 0.9957 | 0.3504 | 0.9957 | 0.9978 |
| No log | 2.4944 | 222 | 0.9472 | 0.3090 | 0.9472 | 0.9733 |
| No log | 2.5169 | 224 | 0.9649 | 0.3448 | 0.9649 | 0.9823 |
| No log | 2.5393 | 226 | 0.9730 | 0.3017 | 0.9730 | 0.9864 |
| No log | 2.5618 | 228 | 1.0375 | 0.3036 | 1.0375 | 1.0186 |
| No log | 2.5843 | 230 | 1.3299 | 0.3205 | 1.3299 | 1.1532 |
| No log | 2.6067 | 232 | 1.4754 | 0.2642 | 1.4754 | 1.2147 |
| No log | 2.6292 | 234 | 1.3291 | 0.3166 | 1.3291 | 1.1528 |
| No log | 2.6517 | 236 | 1.0151 | 0.3321 | 1.0151 | 1.0075 |
| No log | 2.6742 | 238 | 0.9682 | 0.4808 | 0.9682 | 0.9839 |
| No log | 2.6966 | 240 | 1.0119 | 0.4473 | 1.0119 | 1.0059 |
| No log | 2.7191 | 242 | 0.9620 | 0.4595 | 0.9620 | 0.9808 |
| No log | 2.7416 | 244 | 0.9796 | 0.4267 | 0.9796 | 0.9898 |
| No log | 2.7640 | 246 | 1.1347 | 0.4050 | 1.1347 | 1.0652 |
| No log | 2.7865 | 248 | 1.1345 | 0.4050 | 1.1345 | 1.0651 |
| No log | 2.8090 | 250 | 1.0422 | 0.4672 | 1.0422 | 1.0209 |
| No log | 2.8315 | 252 | 1.0325 | 0.4549 | 1.0325 | 1.0161 |
| No log | 2.8539 | 254 | 1.0729 | 0.3935 | 1.0729 | 1.0358 |
| No log | 2.8764 | 256 | 1.0930 | 0.3850 | 1.0930 | 1.0454 |
| No log | 2.8989 | 258 | 1.1976 | 0.2962 | 1.1976 | 1.0944 |
| No log | 2.9213 | 260 | 1.1761 | 0.3131 | 1.1761 | 1.0845 |
| No log | 2.9438 | 262 | 1.0632 | 0.4948 | 1.0632 | 1.0311 |
| No log | 2.9663 | 264 | 1.0368 | 0.5127 | 1.0368 | 1.0182 |
| No log | 2.9888 | 266 | 1.0123 | 0.4847 | 1.0123 | 1.0061 |
| No log | 3.0112 | 268 | 1.0281 | 0.4699 | 1.0281 | 1.0139 |
| No log | 3.0337 | 270 | 0.9966 | 0.3256 | 0.9966 | 0.9983 |
| No log | 3.0562 | 272 | 1.0284 | 0.2492 | 1.0284 | 1.0141 |
| No log | 3.0787 | 274 | 1.0627 | 0.2033 | 1.0627 | 1.0309 |
| No log | 3.1011 | 276 | 1.0414 | 0.2394 | 1.0414 | 1.0205 |
| No log | 3.1236 | 278 | 1.0646 | 0.2988 | 1.0646 | 1.0318 |
| No log | 3.1461 | 280 | 1.0752 | 0.3759 | 1.0752 | 1.0369 |
| No log | 3.1685 | 282 | 1.1022 | 0.3759 | 1.1022 | 1.0498 |
| No log | 3.1910 | 284 | 1.0988 | 0.3584 | 1.0988 | 1.0483 |
| No log | 3.2135 | 286 | 1.1158 | 0.3584 | 1.1158 | 1.0563 |
| No log | 3.2360 | 288 | 1.0757 | 0.3714 | 1.0757 | 1.0372 |
| No log | 3.2584 | 290 | 1.1517 | 0.3595 | 1.1517 | 1.0732 |
| No log | 3.2809 | 292 | 1.2680 | 0.3184 | 1.2680 | 1.1260 |
| No log | 3.3034 | 294 | 1.1475 | 0.3254 | 1.1475 | 1.0712 |
| No log | 3.3258 | 296 | 1.0198 | 0.3875 | 1.0198 | 1.0098 |
| No log | 3.3483 | 298 | 1.0166 | 0.3935 | 1.0166 | 1.0083 |
| No log | 3.3708 | 300 | 1.0351 | 0.3919 | 1.0351 | 1.0174 |
| No log | 3.3933 | 302 | 1.1866 | 0.3047 | 1.1866 | 1.0893 |
| No log | 3.4157 | 304 | 1.4195 | 0.2842 | 1.4195 | 1.1914 |
| No log | 3.4382 | 306 | 1.4299 | 0.2912 | 1.4299 | 1.1958 |
| No log | 3.4607 | 308 | 1.1801 | 0.3111 | 1.1801 | 1.0863 |
| No log | 3.4831 | 310 | 1.0563 | 0.3579 | 1.0563 | 1.0278 |
| No log | 3.5056 | 312 | 1.0552 | 0.3579 | 1.0552 | 1.0272 |
| No log | 3.5281 | 314 | 1.0954 | 0.2670 | 1.0954 | 1.0466 |
| No log | 3.5506 | 316 | 1.2829 | 0.3742 | 1.2829 | 1.1327 |
| No log | 3.5730 | 318 | 1.3991 | 0.2665 | 1.3991 | 1.1828 |
| No log | 3.5955 | 320 | 1.2562 | 0.3220 | 1.2562 | 1.1208 |
| No log | 3.6180 | 322 | 1.1037 | 0.2593 | 1.1037 | 1.0505 |
| No log | 3.6404 | 324 | 1.1037 | 0.2667 | 1.1037 | 1.0506 |
| No log | 3.6629 | 326 | 1.1353 | 0.3052 | 1.1353 | 1.0655 |
| No log | 3.6854 | 328 | 1.2146 | 0.2943 | 1.2146 | 1.1021 |
| No log | 3.7079 | 330 | 1.3556 | 0.3139 | 1.3556 | 1.1643 |
| No log | 3.7303 | 332 | 1.3085 | 0.3003 | 1.3085 | 1.1439 |
| No log | 3.7528 | 334 | 1.0801 | 0.3432 | 1.0801 | 1.0393 |
| No log | 3.7753 | 336 | 1.0006 | 0.4859 | 1.0006 | 1.0003 |
| No log | 3.7978 | 338 | 0.9871 | 0.4714 | 0.9871 | 0.9935 |
| No log | 3.8202 | 340 | 0.9490 | 0.4105 | 0.9490 | 0.9741 |
| No log | 3.8427 | 342 | 0.9983 | 0.3634 | 0.9983 | 0.9992 |
| No log | 3.8652 | 344 | 1.0121 | 0.3437 | 1.0121 | 1.0060 |
| No log | 3.8876 | 346 | 0.9314 | 0.4299 | 0.9314 | 0.9651 |
| No log | 3.9101 | 348 | 0.9321 | 0.4982 | 0.9321 | 0.9655 |
| No log | 3.9326 | 350 | 0.9606 | 0.5077 | 0.9606 | 0.9801 |
| No log | 3.9551 | 352 | 0.9296 | 0.4435 | 0.9296 | 0.9642 |
| No log | 3.9775 | 354 | 0.9766 | 0.2744 | 0.9766 | 0.9882 |
| No log | 4.0 | 356 | 1.1593 | 0.3585 | 1.1593 | 1.0767 |
| No log | 4.0225 | 358 | 1.2258 | 0.3648 | 1.2258 | 1.1072 |
| No log | 4.0449 | 360 | 1.0976 | 0.2919 | 1.0976 | 1.0476 |
| No log | 4.0674 | 362 | 0.9600 | 0.3184 | 0.9600 | 0.9798 |
| No log | 4.0899 | 364 | 0.9586 | 0.4587 | 0.9586 | 0.9791 |
| No log | 4.1124 | 366 | 0.9533 | 0.4493 | 0.9533 | 0.9764 |
| No log | 4.1348 | 368 | 0.9534 | 0.4628 | 0.9534 | 0.9764 |
| No log | 4.1573 | 370 | 0.9869 | 0.2920 | 0.9869 | 0.9934 |
| No log | 4.1798 | 372 | 1.2372 | 0.3745 | 1.2372 | 1.1123 |
| No log | 4.2022 | 374 | 1.3840 | 0.3852 | 1.3840 | 1.1764 |
| No log | 4.2247 | 376 | 1.2713 | 0.3611 | 1.2713 | 1.1275 |
| No log | 4.2472 | 378 | 1.0716 | 0.3238 | 1.0716 | 1.0352 |
| No log | 4.2697 | 380 | 0.9434 | 0.3294 | 0.9434 | 0.9713 |
| No log | 4.2921 | 382 | 0.9570 | 0.4181 | 0.9570 | 0.9783 |
| No log | 4.3146 | 384 | 0.9715 | 0.3779 | 0.9715 | 0.9857 |
| No log | 4.3371 | 386 | 0.9383 | 0.3608 | 0.9383 | 0.9687 |
| No log | 4.3596 | 388 | 0.9915 | 0.3753 | 0.9915 | 0.9957 |
| No log | 4.3820 | 390 | 1.1463 | 0.3673 | 1.1463 | 1.0707 |
| No log | 4.4045 | 392 | 1.1343 | 0.3673 | 1.1343 | 1.0651 |
| No log | 4.4270 | 394 | 1.0091 | 0.3323 | 1.0091 | 1.0045 |
| No log | 4.4494 | 396 | 0.9417 | 0.3312 | 0.9417 | 0.9704 |
| No log | 4.4719 | 398 | 0.9567 | 0.3015 | 0.9567 | 0.9781 |
| No log | 4.4944 | 400 | 0.9779 | 0.3015 | 0.9779 | 0.9889 |
| No log | 4.5169 | 402 | 1.0222 | 0.2824 | 1.0222 | 1.0110 |
| No log | 4.5393 | 404 | 1.1459 | 0.2763 | 1.1459 | 1.0705 |
| No log | 4.5618 | 406 | 1.2059 | 0.3574 | 1.2059 | 1.0981 |
| No log | 4.5843 | 408 | 1.1755 | 0.3047 | 1.1755 | 1.0842 |
| No log | 4.6067 | 410 | 1.0968 | 0.2986 | 1.0968 | 1.0473 |
| No log | 4.6292 | 412 | 1.0600 | 0.2805 | 1.0600 | 1.0296 |
| No log | 4.6517 | 414 | 1.0652 | 0.2805 | 1.0652 | 1.0321 |
| No log | 4.6742 | 416 | 1.1126 | 0.3355 | 1.1126 | 1.0548 |
| No log | 4.6966 | 418 | 1.1837 | 0.2789 | 1.1837 | 1.0880 |
| No log | 4.7191 | 420 | 1.1837 | 0.2789 | 1.1837 | 1.0880 |
| No log | 4.7416 | 422 | 1.1302 | 0.2565 | 1.1302 | 1.0631 |
| No log | 4.7640 | 424 | 1.0699 | 0.2555 | 1.0699 | 1.0343 |
| No log | 4.7865 | 426 | 1.0597 | 0.2555 | 1.0597 | 1.0294 |
| No log | 4.8090 | 428 | 1.0990 | 0.2750 | 1.0990 | 1.0484 |
| No log | 4.8315 | 430 | 1.1558 | 0.3277 | 1.1558 | 1.0751 |
| No log | 4.8539 | 432 | 1.1347 | 0.3277 | 1.1347 | 1.0652 |
| No log | 4.8764 | 434 | 1.1096 | 0.3028 | 1.1096 | 1.0534 |
| No log | 4.8989 | 436 | 1.0656 | 0.3078 | 1.0656 | 1.0323 |
| No log | 4.9213 | 438 | 1.0739 | 0.2750 | 1.0739 | 1.0363 |
| No log | 4.9438 | 440 | 1.0674 | 0.2938 | 1.0674 | 1.0331 |
| No log | 4.9663 | 442 | 1.0283 | 0.2461 | 1.0283 | 1.0140 |
| No log | 4.9888 | 444 | 1.0216 | 0.2555 | 1.0216 | 1.0107 |
| No log | 5.0112 | 446 | 1.0293 | 0.2748 | 1.0293 | 1.0145 |
| No log | 5.0337 | 448 | 1.0877 | 0.2939 | 1.0877 | 1.0429 |
| No log | 5.0562 | 450 | 1.1898 | 0.3166 | 1.1898 | 1.0908 |
| No log | 5.0787 | 452 | 1.2107 | 0.3166 | 1.2107 | 1.1003 |
| No log | 5.1011 | 454 | 1.1051 | 0.2631 | 1.1051 | 1.0512 |
| No log | 5.1236 | 456 | 1.0810 | 0.2554 | 1.0810 | 1.0397 |
| No log | 5.1461 | 458 | 1.1509 | 0.2833 | 1.1509 | 1.0728 |
| No log | 5.1685 | 460 | 1.1611 | 0.2833 | 1.1611 | 1.0776 |
| No log | 5.1910 | 462 | 1.0747 | 0.2631 | 1.0747 | 1.0367 |
| No log | 5.2135 | 464 | 0.9917 | 0.4247 | 0.9917 | 0.9958 |
| No log | 5.2360 | 466 | 0.9706 | 0.4425 | 0.9706 | 0.9852 |
| No log | 5.2584 | 468 | 1.0014 | 0.3928 | 1.0014 | 1.0007 |
| No log | 5.2809 | 470 | 1.0699 | 0.3171 | 1.0699 | 1.0344 |
| No log | 5.3034 | 472 | 1.1480 | 0.3384 | 1.1480 | 1.0715 |
| No log | 5.3258 | 474 | 1.1919 | 0.3595 | 1.1919 | 1.0917 |
| No log | 5.3483 | 476 | 1.0518 | 0.3512 | 1.0518 | 1.0256 |
| No log | 5.3708 | 478 | 0.9066 | 0.4712 | 0.9066 | 0.9522 |
| No log | 5.3933 | 480 | 0.9847 | 0.4293 | 0.9847 | 0.9923 |
| No log | 5.4157 | 482 | 1.0399 | 0.4598 | 1.0399 | 1.0197 |
| No log | 5.4382 | 484 | 0.9725 | 0.3623 | 0.9725 | 0.9861 |
| No log | 5.4607 | 486 | 0.9172 | 0.4267 | 0.9172 | 0.9577 |
| No log | 5.4831 | 488 | 0.9718 | 0.4489 | 0.9718 | 0.9858 |
| No log | 5.5056 | 490 | 1.0139 | 0.4489 | 1.0139 | 1.0069 |
| No log | 5.5281 | 492 | 0.9579 | 0.4543 | 0.9579 | 0.9787 |
| No log | 5.5506 | 494 | 0.9144 | 0.4600 | 0.9144 | 0.9562 |
| No log | 5.5730 | 496 | 0.9196 | 0.3788 | 0.9196 | 0.9589 |
| No log | 5.5955 | 498 | 0.9061 | 0.4477 | 0.9061 | 0.9519 |
| 0.366 | 5.6180 | 500 | 0.9563 | 0.5062 | 0.9563 | 0.9779 |
| 0.366 | 5.6404 | 502 | 1.1484 | 0.3902 | 1.1484 | 1.0716 |
| 0.366 | 5.6629 | 504 | 1.2013 | 0.4199 | 1.2013 | 1.0961 |
| 0.366 | 5.6854 | 506 | 1.1012 | 0.3874 | 1.1012 | 1.0494 |
| 0.366 | 5.7079 | 508 | 0.9362 | 0.4335 | 0.9362 | 0.9676 |
| 0.366 | 5.7303 | 510 | 0.9339 | 0.3930 | 0.9339 | 0.9664 |
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_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task2_organization
Base model
aubmindlab/bert-base-arabertv02