Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_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_k10_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_k10_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_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: 1.1279
- Qwk: 0.3010
- Mse: 1.1279
- Rmse: 1.0620
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 | 0.0392 | 2 | 4.7827 | 0.0010 | 4.7827 | 2.1869 |
| No log | 0.0784 | 4 | 2.9496 | 0.0093 | 2.9496 | 1.7174 |
| No log | 0.1176 | 6 | 2.0361 | -0.0433 | 2.0361 | 1.4269 |
| No log | 0.1569 | 8 | 1.7813 | 0.0217 | 1.7813 | 1.3347 |
| No log | 0.1961 | 10 | 1.3530 | 0.1403 | 1.3530 | 1.1632 |
| No log | 0.2353 | 12 | 1.5556 | 0.0749 | 1.5556 | 1.2472 |
| No log | 0.2745 | 14 | 1.8703 | 0.0844 | 1.8703 | 1.3676 |
| No log | 0.3137 | 16 | 1.5348 | 0.0227 | 1.5348 | 1.2389 |
| No log | 0.3529 | 18 | 1.1567 | 0.1959 | 1.1567 | 1.0755 |
| No log | 0.3922 | 20 | 1.0685 | 0.2191 | 1.0685 | 1.0337 |
| No log | 0.4314 | 22 | 1.1334 | 0.2040 | 1.1334 | 1.0646 |
| No log | 0.4706 | 24 | 1.1672 | 0.2191 | 1.1672 | 1.0804 |
| No log | 0.5098 | 26 | 1.1501 | 0.2342 | 1.1501 | 1.0724 |
| No log | 0.5490 | 28 | 1.3736 | 0.1587 | 1.3736 | 1.1720 |
| No log | 0.5882 | 30 | 1.4644 | 0.2074 | 1.4644 | 1.2101 |
| No log | 0.6275 | 32 | 1.3441 | 0.2292 | 1.3441 | 1.1593 |
| No log | 0.6667 | 34 | 1.2735 | 0.2141 | 1.2735 | 1.1285 |
| No log | 0.7059 | 36 | 1.3913 | 0.2544 | 1.3913 | 1.1795 |
| No log | 0.7451 | 38 | 1.4450 | 0.2411 | 1.4450 | 1.2021 |
| No log | 0.7843 | 40 | 1.6728 | 0.1555 | 1.6728 | 1.2934 |
| No log | 0.8235 | 42 | 2.0733 | 0.1148 | 2.0733 | 1.4399 |
| No log | 0.8627 | 44 | 2.1126 | 0.1168 | 2.1126 | 1.4535 |
| No log | 0.9020 | 46 | 1.6806 | 0.2644 | 1.6806 | 1.2964 |
| No log | 0.9412 | 48 | 1.2266 | 0.2532 | 1.2266 | 1.1075 |
| No log | 0.9804 | 50 | 0.9696 | 0.3441 | 0.9696 | 0.9847 |
| No log | 1.0196 | 52 | 0.9303 | 0.3762 | 0.9303 | 0.9645 |
| No log | 1.0588 | 54 | 0.9245 | 0.3704 | 0.9245 | 0.9615 |
| No log | 1.0980 | 56 | 1.1336 | 0.2446 | 1.1336 | 1.0647 |
| No log | 1.1373 | 58 | 1.6728 | 0.2243 | 1.6728 | 1.2934 |
| No log | 1.1765 | 60 | 1.7550 | 0.2199 | 1.7550 | 1.3248 |
| No log | 1.2157 | 62 | 1.7609 | 0.2644 | 1.7609 | 1.3270 |
| No log | 1.2549 | 64 | 1.5482 | 0.2939 | 1.5482 | 1.2443 |
| No log | 1.2941 | 66 | 1.5359 | 0.2959 | 1.5359 | 1.2393 |
| No log | 1.3333 | 68 | 1.5170 | 0.2593 | 1.5170 | 1.2317 |
| No log | 1.3725 | 70 | 1.3397 | 0.1549 | 1.3397 | 1.1575 |
| No log | 1.4118 | 72 | 1.2613 | 0.1735 | 1.2613 | 1.1231 |
| No log | 1.4510 | 74 | 1.3359 | 0.2028 | 1.3359 | 1.1558 |
| No log | 1.4902 | 76 | 1.3807 | 0.2349 | 1.3807 | 1.1751 |
| No log | 1.5294 | 78 | 1.1355 | 0.2067 | 1.1355 | 1.0656 |
| No log | 1.5686 | 80 | 0.9426 | 0.3590 | 0.9426 | 0.9709 |
| No log | 1.6078 | 82 | 0.9155 | 0.3487 | 0.9155 | 0.9568 |
| No log | 1.6471 | 84 | 1.0109 | 0.3188 | 1.0109 | 1.0054 |
| No log | 1.6863 | 86 | 1.1378 | 0.2895 | 1.1378 | 1.0667 |
| No log | 1.7255 | 88 | 1.3715 | 0.3685 | 1.3715 | 1.1711 |
| No log | 1.7647 | 90 | 1.8387 | 0.2228 | 1.8387 | 1.3560 |
| No log | 1.8039 | 92 | 1.8412 | 0.2338 | 1.8412 | 1.3569 |
| No log | 1.8431 | 94 | 1.5266 | 0.2723 | 1.5266 | 1.2356 |
| No log | 1.8824 | 96 | 1.3521 | 0.1404 | 1.3521 | 1.1628 |
| No log | 1.9216 | 98 | 1.2775 | 0.1735 | 1.2775 | 1.1303 |
| No log | 1.9608 | 100 | 1.3496 | 0.1882 | 1.3496 | 1.1617 |
| No log | 2.0 | 102 | 1.1872 | 0.1772 | 1.1872 | 1.0896 |
| No log | 2.0392 | 104 | 1.0911 | 0.2337 | 1.0911 | 1.0446 |
| No log | 2.0784 | 106 | 1.1453 | 0.2058 | 1.1453 | 1.0702 |
| No log | 2.1176 | 108 | 1.0738 | 0.2912 | 1.0738 | 1.0363 |
| No log | 2.1569 | 110 | 1.1157 | 0.2825 | 1.1157 | 1.0563 |
| No log | 2.1961 | 112 | 1.2173 | 0.2833 | 1.2173 | 1.1033 |
| No log | 2.2353 | 114 | 1.2489 | 0.2815 | 1.2489 | 1.1175 |
| No log | 2.2745 | 116 | 1.1386 | 0.3370 | 1.1386 | 1.0671 |
| No log | 2.3137 | 118 | 1.2273 | 0.3220 | 1.2273 | 1.1078 |
| No log | 2.3529 | 120 | 1.2306 | 0.2100 | 1.2306 | 1.1093 |
| No log | 2.3922 | 122 | 1.1490 | 0.2986 | 1.1490 | 1.0719 |
| No log | 2.4314 | 124 | 1.1337 | 0.2572 | 1.1337 | 1.0647 |
| No log | 2.4706 | 126 | 1.1373 | 0.2949 | 1.1373 | 1.0665 |
| No log | 2.5098 | 128 | 1.2333 | 0.2114 | 1.2333 | 1.1106 |
| No log | 2.5490 | 130 | 1.3087 | 0.3302 | 1.3087 | 1.1440 |
| No log | 2.5882 | 132 | 1.2740 | 0.2972 | 1.2740 | 1.1287 |
| No log | 2.6275 | 134 | 1.2633 | 0.2933 | 1.2633 | 1.1240 |
| No log | 2.6667 | 136 | 1.1856 | 0.3013 | 1.1856 | 1.0888 |
| No log | 2.7059 | 138 | 1.1597 | 0.3444 | 1.1597 | 1.0769 |
| No log | 2.7451 | 140 | 1.1503 | 0.3640 | 1.1503 | 1.0725 |
| No log | 2.7843 | 142 | 1.1100 | 0.3632 | 1.1100 | 1.0535 |
| No log | 2.8235 | 144 | 1.1666 | 0.3380 | 1.1666 | 1.0801 |
| No log | 2.8627 | 146 | 1.3407 | 0.3233 | 1.3407 | 1.1579 |
| No log | 2.9020 | 148 | 1.4778 | 0.3645 | 1.4778 | 1.2156 |
| No log | 2.9412 | 150 | 1.3674 | 0.3730 | 1.3674 | 1.1693 |
| No log | 2.9804 | 152 | 1.1714 | 0.2595 | 1.1714 | 1.0823 |
| No log | 3.0196 | 154 | 1.1438 | 0.2542 | 1.1438 | 1.0695 |
| No log | 3.0588 | 156 | 1.1088 | 0.2857 | 1.1088 | 1.0530 |
| No log | 3.0980 | 158 | 1.1117 | 0.3268 | 1.1117 | 1.0544 |
| No log | 3.1373 | 160 | 1.3173 | 0.2105 | 1.3173 | 1.1477 |
| No log | 3.1765 | 162 | 1.3098 | 0.2631 | 1.3098 | 1.1445 |
| No log | 3.2157 | 164 | 1.1573 | 0.3675 | 1.1573 | 1.0758 |
| No log | 3.2549 | 166 | 1.1043 | 0.2966 | 1.1043 | 1.0508 |
| No log | 3.2941 | 168 | 1.1079 | 0.2968 | 1.1079 | 1.0526 |
| No log | 3.3333 | 170 | 1.1274 | 0.2168 | 1.1274 | 1.0618 |
| No log | 3.3725 | 172 | 1.1880 | 0.2501 | 1.1880 | 1.0899 |
| No log | 3.4118 | 174 | 1.3542 | 0.3108 | 1.3542 | 1.1637 |
| No log | 3.4510 | 176 | 1.3391 | 0.3022 | 1.3391 | 1.1572 |
| No log | 3.4902 | 178 | 1.1747 | 0.4035 | 1.1747 | 1.0838 |
| No log | 3.5294 | 180 | 1.1388 | 0.4126 | 1.1388 | 1.0672 |
| No log | 3.5686 | 182 | 1.2869 | 0.4073 | 1.2869 | 1.1344 |
| No log | 3.6078 | 184 | 1.5733 | 0.2286 | 1.5733 | 1.2543 |
| No log | 3.6471 | 186 | 1.8606 | 0.2405 | 1.8606 | 1.3640 |
| No log | 3.6863 | 188 | 1.6304 | 0.2286 | 1.6304 | 1.2769 |
| No log | 3.7255 | 190 | 1.1875 | 0.3355 | 1.1875 | 1.0897 |
| No log | 3.7647 | 192 | 1.0261 | 0.3109 | 1.0261 | 1.0130 |
| No log | 3.8039 | 194 | 1.0492 | 0.3256 | 1.0492 | 1.0243 |
| No log | 3.8431 | 196 | 1.0549 | 0.3345 | 1.0549 | 1.0271 |
| No log | 3.8824 | 198 | 1.0888 | 0.2965 | 1.0888 | 1.0435 |
| No log | 3.9216 | 200 | 1.1054 | 0.2735 | 1.1054 | 1.0514 |
| No log | 3.9608 | 202 | 1.1956 | 0.2140 | 1.1956 | 1.0934 |
| No log | 4.0 | 204 | 1.2754 | 0.2962 | 1.2754 | 1.1293 |
| No log | 4.0392 | 206 | 1.2366 | 0.2832 | 1.2366 | 1.1120 |
| No log | 4.0784 | 208 | 1.0997 | 0.3412 | 1.0997 | 1.0487 |
| No log | 4.1176 | 210 | 1.0217 | 0.3066 | 1.0217 | 1.0108 |
| No log | 4.1569 | 212 | 1.0396 | 0.3372 | 1.0396 | 1.0196 |
| No log | 4.1961 | 214 | 1.0209 | 0.3069 | 1.0209 | 1.0104 |
| No log | 4.2353 | 216 | 1.0209 | 0.3210 | 1.0209 | 1.0104 |
| No log | 4.2745 | 218 | 1.0220 | 0.3164 | 1.0220 | 1.0110 |
| No log | 4.3137 | 220 | 1.0342 | 0.2772 | 1.0342 | 1.0170 |
| No log | 4.3529 | 222 | 1.0361 | 0.2621 | 1.0361 | 1.0179 |
| No log | 4.3922 | 224 | 1.0185 | 0.3164 | 1.0185 | 1.0092 |
| No log | 4.4314 | 226 | 1.1448 | 0.2881 | 1.1448 | 1.0700 |
| No log | 4.4706 | 228 | 1.3510 | 0.3451 | 1.3510 | 1.1623 |
| No log | 4.5098 | 230 | 1.3116 | 0.3595 | 1.3116 | 1.1452 |
| No log | 4.5490 | 232 | 1.2273 | 0.3004 | 1.2273 | 1.1079 |
| No log | 4.5882 | 234 | 1.0985 | 0.2964 | 1.0985 | 1.0481 |
| No log | 4.6275 | 236 | 1.0856 | 0.2505 | 1.0856 | 1.0419 |
| No log | 4.6667 | 238 | 1.1853 | 0.2484 | 1.1853 | 1.0887 |
| No log | 4.7059 | 240 | 1.4377 | 0.3112 | 1.4377 | 1.1991 |
| No log | 4.7451 | 242 | 1.4179 | 0.2664 | 1.4179 | 1.1908 |
| No log | 4.7843 | 244 | 1.4150 | 0.2366 | 1.4150 | 1.1896 |
| No log | 4.8235 | 246 | 1.3181 | 0.2424 | 1.3181 | 1.1481 |
| No log | 4.8627 | 248 | 1.1165 | 0.2561 | 1.1165 | 1.0567 |
| No log | 4.9020 | 250 | 1.0456 | 0.3132 | 1.0456 | 1.0225 |
| No log | 4.9412 | 252 | 1.0394 | 0.2473 | 1.0394 | 1.0195 |
| No log | 4.9804 | 254 | 1.0191 | 0.2380 | 1.0191 | 1.0095 |
| No log | 5.0196 | 256 | 1.0377 | 0.3427 | 1.0377 | 1.0187 |
| No log | 5.0588 | 258 | 1.1860 | 0.3458 | 1.1860 | 1.0891 |
| No log | 5.0980 | 260 | 1.3076 | 0.2461 | 1.3076 | 1.1435 |
| No log | 5.1373 | 262 | 1.2161 | 0.3710 | 1.2161 | 1.1028 |
| No log | 5.1765 | 264 | 1.0876 | 0.3297 | 1.0876 | 1.0429 |
| No log | 5.2157 | 266 | 1.0108 | 0.3403 | 1.0108 | 1.0054 |
| No log | 5.2549 | 268 | 1.0229 | 0.3152 | 1.0229 | 1.0114 |
| No log | 5.2941 | 270 | 1.0286 | 0.3601 | 1.0286 | 1.0142 |
| No log | 5.3333 | 272 | 1.1128 | 0.3654 | 1.1128 | 1.0549 |
| No log | 5.3725 | 274 | 1.2167 | 0.2757 | 1.2167 | 1.1031 |
| No log | 5.4118 | 276 | 1.2359 | 0.2757 | 1.2359 | 1.1117 |
| No log | 5.4510 | 278 | 1.1798 | 0.3642 | 1.1798 | 1.0862 |
| No log | 5.4902 | 280 | 1.0637 | 0.4020 | 1.0637 | 1.0314 |
| No log | 5.5294 | 282 | 1.0341 | 0.3040 | 1.0341 | 1.0169 |
| No log | 5.5686 | 284 | 1.0359 | 0.3231 | 1.0359 | 1.0178 |
| No log | 5.6078 | 286 | 1.0253 | 0.3663 | 1.0253 | 1.0126 |
| No log | 5.6471 | 288 | 1.0940 | 0.2963 | 1.0940 | 1.0460 |
| No log | 5.6863 | 290 | 1.1936 | 0.1862 | 1.1936 | 1.0925 |
| No log | 5.7255 | 292 | 1.2357 | 0.2718 | 1.2357 | 1.1116 |
| No log | 5.7647 | 294 | 1.1800 | 0.2627 | 1.1800 | 1.0863 |
| No log | 5.8039 | 296 | 1.1335 | 0.3439 | 1.1335 | 1.0647 |
| No log | 5.8431 | 298 | 1.0828 | 0.3329 | 1.0828 | 1.0406 |
| No log | 5.8824 | 300 | 1.0796 | 0.3415 | 1.0796 | 1.0390 |
| No log | 5.9216 | 302 | 1.0782 | 0.3953 | 1.0782 | 1.0384 |
| No log | 5.9608 | 304 | 1.0984 | 0.2643 | 1.0984 | 1.0481 |
| No log | 6.0 | 306 | 1.1953 | 0.2424 | 1.1953 | 1.0933 |
| No log | 6.0392 | 308 | 1.2672 | 0.2617 | 1.2672 | 1.1257 |
| No log | 6.0784 | 310 | 1.2044 | 0.2031 | 1.2044 | 1.0975 |
| No log | 6.1176 | 312 | 1.1109 | 0.2455 | 1.1109 | 1.0540 |
| No log | 6.1569 | 314 | 1.0881 | 0.3577 | 1.0881 | 1.0431 |
| No log | 6.1961 | 316 | 1.1171 | 0.3046 | 1.1171 | 1.0569 |
| No log | 6.2353 | 318 | 1.1081 | 0.2558 | 1.1081 | 1.0527 |
| No log | 6.2745 | 320 | 1.0577 | 0.2587 | 1.0577 | 1.0285 |
| No log | 6.3137 | 322 | 1.0426 | 0.2915 | 1.0426 | 1.0211 |
| No log | 6.3529 | 324 | 1.0827 | 0.2851 | 1.0827 | 1.0405 |
| No log | 6.3922 | 326 | 1.0916 | 0.2921 | 1.0916 | 1.0448 |
| No log | 6.4314 | 328 | 1.0586 | 0.3329 | 1.0586 | 1.0289 |
| No log | 6.4706 | 330 | 1.0683 | 0.3237 | 1.0683 | 1.0336 |
| No log | 6.5098 | 332 | 1.1691 | 0.3450 | 1.1691 | 1.0813 |
| No log | 6.5490 | 334 | 1.1670 | 0.3129 | 1.1670 | 1.0803 |
| No log | 6.5882 | 336 | 1.1130 | 0.3338 | 1.1130 | 1.0550 |
| No log | 6.6275 | 338 | 1.0438 | 0.3386 | 1.0438 | 1.0217 |
| No log | 6.6667 | 340 | 1.0163 | 0.3497 | 1.0163 | 1.0081 |
| No log | 6.7059 | 342 | 1.0348 | 0.3458 | 1.0348 | 1.0173 |
| No log | 6.7451 | 344 | 1.1371 | 0.3363 | 1.1371 | 1.0663 |
| No log | 6.7843 | 346 | 1.2299 | 0.2832 | 1.2299 | 1.1090 |
| No log | 6.8235 | 348 | 1.1573 | 0.2963 | 1.1573 | 1.0758 |
| No log | 6.8627 | 350 | 1.0637 | 0.2988 | 1.0637 | 1.0314 |
| No log | 6.9020 | 352 | 1.0439 | 0.3108 | 1.0439 | 1.0217 |
| No log | 6.9412 | 354 | 1.0808 | 0.3280 | 1.0808 | 1.0396 |
| No log | 6.9804 | 356 | 1.1586 | 0.3074 | 1.1586 | 1.0764 |
| No log | 7.0196 | 358 | 1.2868 | 0.3004 | 1.2868 | 1.1344 |
| No log | 7.0588 | 360 | 1.3159 | 0.3303 | 1.3159 | 1.1471 |
| No log | 7.0980 | 362 | 1.1965 | 0.3330 | 1.1965 | 1.0938 |
| No log | 7.1373 | 364 | 1.0590 | 0.3568 | 1.0590 | 1.0291 |
| No log | 7.1765 | 366 | 1.0323 | 0.3301 | 1.0323 | 1.0160 |
| No log | 7.2157 | 368 | 1.0278 | 0.3115 | 1.0278 | 1.0138 |
| No log | 7.2549 | 370 | 1.0547 | 0.3163 | 1.0547 | 1.0270 |
| No log | 7.2941 | 372 | 1.0742 | 0.3062 | 1.0742 | 1.0364 |
| No log | 7.3333 | 374 | 1.0528 | 0.2614 | 1.0528 | 1.0261 |
| No log | 7.3725 | 376 | 1.0515 | 0.3163 | 1.0515 | 1.0254 |
| No log | 7.4118 | 378 | 1.0528 | 0.3062 | 1.0528 | 1.0260 |
| No log | 7.4510 | 380 | 1.0927 | 0.3237 | 1.0927 | 1.0453 |
| No log | 7.4902 | 382 | 1.2201 | 0.3088 | 1.2201 | 1.1046 |
| No log | 7.5294 | 384 | 1.2290 | 0.3174 | 1.2290 | 1.1086 |
| No log | 7.5686 | 386 | 1.2316 | 0.3947 | 1.2316 | 1.1098 |
| No log | 7.6078 | 388 | 1.1202 | 0.3670 | 1.1202 | 1.0584 |
| No log | 7.6471 | 390 | 1.0238 | 0.4494 | 1.0238 | 1.0118 |
| No log | 7.6863 | 392 | 0.9582 | 0.3500 | 0.9582 | 0.9789 |
| No log | 7.7255 | 394 | 0.9637 | 0.3996 | 0.9637 | 0.9817 |
| No log | 7.7647 | 396 | 1.0192 | 0.3741 | 1.0192 | 1.0096 |
| No log | 7.8039 | 398 | 1.0402 | 0.3452 | 1.0402 | 1.0199 |
| No log | 7.8431 | 400 | 1.0367 | 0.3782 | 1.0367 | 1.0182 |
| No log | 7.8824 | 402 | 0.9766 | 0.3765 | 0.9766 | 0.9882 |
| No log | 7.9216 | 404 | 0.9655 | 0.4385 | 0.9655 | 0.9826 |
| No log | 7.9608 | 406 | 0.9941 | 0.4100 | 0.9941 | 0.9970 |
| No log | 8.0 | 408 | 1.1572 | 0.3535 | 1.1572 | 1.0758 |
| No log | 8.0392 | 410 | 1.3895 | 0.3117 | 1.3895 | 1.1788 |
| No log | 8.0784 | 412 | 1.4655 | 0.3361 | 1.4655 | 1.2106 |
| No log | 8.1176 | 414 | 1.2962 | 0.2875 | 1.2962 | 1.1385 |
| No log | 8.1569 | 416 | 1.1130 | 0.2750 | 1.1130 | 1.0550 |
| No log | 8.1961 | 418 | 1.0453 | 0.2469 | 1.0453 | 1.0224 |
| No log | 8.2353 | 420 | 1.0265 | 0.3497 | 1.0265 | 1.0131 |
| No log | 8.2745 | 422 | 1.0503 | 0.2126 | 1.0503 | 1.0248 |
| No log | 8.3137 | 424 | 1.1984 | 0.2825 | 1.1984 | 1.0947 |
| No log | 8.3529 | 426 | 1.2626 | 0.3174 | 1.2626 | 1.1237 |
| No log | 8.3922 | 428 | 1.2105 | 0.3484 | 1.2105 | 1.1002 |
| No log | 8.4314 | 430 | 1.1372 | 0.2806 | 1.1372 | 1.0664 |
| No log | 8.4706 | 432 | 1.0870 | 0.2679 | 1.0870 | 1.0426 |
| No log | 8.5098 | 434 | 1.0968 | 0.2528 | 1.0968 | 1.0473 |
| No log | 8.5490 | 436 | 1.1336 | 0.2528 | 1.1336 | 1.0647 |
| No log | 8.5882 | 438 | 1.1383 | 0.2100 | 1.1383 | 1.0669 |
| No log | 8.6275 | 440 | 1.1400 | 0.2562 | 1.1400 | 1.0677 |
| No log | 8.6667 | 442 | 1.0945 | 0.2612 | 1.0945 | 1.0462 |
| No log | 8.7059 | 444 | 1.0773 | 0.2380 | 1.0773 | 1.0379 |
| No log | 8.7451 | 446 | 1.0680 | 0.1992 | 1.0680 | 1.0335 |
| No log | 8.7843 | 448 | 1.0649 | 0.2100 | 1.0649 | 1.0320 |
| No log | 8.8235 | 450 | 1.0620 | 0.2892 | 1.0620 | 1.0305 |
| No log | 8.8627 | 452 | 1.0880 | 0.2669 | 1.0880 | 1.0431 |
| No log | 8.9020 | 454 | 1.1681 | 0.2780 | 1.1681 | 1.0808 |
| No log | 8.9412 | 456 | 1.2513 | 0.2589 | 1.2513 | 1.1186 |
| No log | 8.9804 | 458 | 1.2748 | 0.2503 | 1.2748 | 1.1291 |
| No log | 9.0196 | 460 | 1.1808 | 0.2780 | 1.1808 | 1.0866 |
| No log | 9.0588 | 462 | 1.1205 | 0.3100 | 1.1205 | 1.0585 |
| No log | 9.0980 | 464 | 1.0375 | 0.3780 | 1.0375 | 1.0186 |
| No log | 9.1373 | 466 | 1.0194 | 0.3155 | 1.0194 | 1.0096 |
| No log | 9.1765 | 468 | 1.0332 | 0.3584 | 1.0332 | 1.0164 |
| No log | 9.2157 | 470 | 1.1034 | 0.2560 | 1.1034 | 1.0504 |
| No log | 9.2549 | 472 | 1.1298 | 0.3074 | 1.1298 | 1.0629 |
| No log | 9.2941 | 474 | 1.0764 | 0.3213 | 1.0764 | 1.0375 |
| No log | 9.3333 | 476 | 1.0267 | 0.3218 | 1.0267 | 1.0133 |
| No log | 9.3725 | 478 | 0.9899 | 0.3554 | 0.9899 | 0.9949 |
| No log | 9.4118 | 480 | 0.9926 | 0.3648 | 0.9926 | 0.9963 |
| No log | 9.4510 | 482 | 1.0477 | 0.3694 | 1.0477 | 1.0236 |
| No log | 9.4902 | 484 | 1.1786 | 0.3547 | 1.1786 | 1.0857 |
| No log | 9.5294 | 486 | 1.2910 | 0.3865 | 1.2910 | 1.1362 |
| No log | 9.5686 | 488 | 1.2365 | 0.4154 | 1.2365 | 1.1120 |
| No log | 9.6078 | 490 | 1.1340 | 0.3841 | 1.1340 | 1.0649 |
| No log | 9.6471 | 492 | 1.0696 | 0.3663 | 1.0696 | 1.0342 |
| No log | 9.6863 | 494 | 1.0037 | 0.3433 | 1.0037 | 1.0018 |
| No log | 9.7255 | 496 | 0.9925 | 0.3541 | 0.9925 | 0.9962 |
| No log | 9.7647 | 498 | 0.9834 | 0.3756 | 0.9834 | 0.9917 |
| 0.3772 | 9.8039 | 500 | 0.9874 | 0.3537 | 0.9874 | 0.9937 |
| 0.3772 | 9.8431 | 502 | 1.0096 | 0.3728 | 1.0096 | 1.0048 |
| 0.3772 | 9.8824 | 504 | 1.0694 | 0.4210 | 1.0694 | 1.0341 |
| 0.3772 | 9.9216 | 506 | 1.1973 | 0.3232 | 1.1973 | 1.0942 |
| 0.3772 | 9.9608 | 508 | 1.3902 | 0.3022 | 1.3902 | 1.1791 |
| 0.3772 | 10.0 | 510 | 1.4071 | 0.2942 | 1.4071 | 1.1862 |
| 0.3772 | 10.0392 | 512 | 1.3233 | 0.2899 | 1.3233 | 1.1503 |
| 0.3772 | 10.0784 | 514 | 1.1279 | 0.3010 | 1.1279 | 1.0620 |
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_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02