Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k19_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_k19_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_k19_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k19_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k19_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k19_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: 1.0460
- Qwk: 0.3115
- Mse: 1.0460
- Rmse: 1.0228
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 | 0.0213 | 2 | 5.0138 | -0.0132 | 5.0138 | 2.2392 |
| No log | 0.0426 | 4 | 2.8177 | 0.0226 | 2.8177 | 1.6786 |
| No log | 0.0638 | 6 | 2.2609 | -0.0846 | 2.2609 | 1.5036 |
| No log | 0.0851 | 8 | 1.8782 | 0.0062 | 1.8782 | 1.3705 |
| No log | 0.1064 | 10 | 1.5199 | 0.0635 | 1.5199 | 1.2329 |
| No log | 0.1277 | 12 | 1.2820 | -0.0031 | 1.2820 | 1.1323 |
| No log | 0.1489 | 14 | 1.3440 | -0.0973 | 1.3440 | 1.1593 |
| No log | 0.1702 | 16 | 1.9527 | 0.0915 | 1.9527 | 1.3974 |
| No log | 0.1915 | 18 | 2.9774 | -0.0767 | 2.9774 | 1.7255 |
| No log | 0.2128 | 20 | 4.0133 | 0.0008 | 4.0133 | 2.0033 |
| No log | 0.2340 | 22 | 3.5167 | 0.0357 | 3.5167 | 1.8753 |
| No log | 0.2553 | 24 | 2.1706 | 0.0297 | 2.1706 | 1.4733 |
| No log | 0.2766 | 26 | 1.6397 | 0.0681 | 1.6397 | 1.2805 |
| No log | 0.2979 | 28 | 1.3946 | 0.0704 | 1.3946 | 1.1809 |
| No log | 0.3191 | 30 | 1.3760 | 0.1260 | 1.3760 | 1.1730 |
| No log | 0.3404 | 32 | 1.3933 | 0.0408 | 1.3933 | 1.1804 |
| No log | 0.3617 | 34 | 1.4184 | 0.0561 | 1.4184 | 1.1910 |
| No log | 0.3830 | 36 | 1.4318 | 0.0784 | 1.4318 | 1.1966 |
| No log | 0.4043 | 38 | 1.3857 | 0.0635 | 1.3857 | 1.1771 |
| No log | 0.4255 | 40 | 1.3757 | 0.0961 | 1.3757 | 1.1729 |
| No log | 0.4468 | 42 | 1.5256 | 0.2224 | 1.5256 | 1.2352 |
| No log | 0.4681 | 44 | 2.0842 | 0.1030 | 2.0842 | 1.4437 |
| No log | 0.4894 | 46 | 2.0954 | 0.0860 | 2.0954 | 1.4475 |
| No log | 0.5106 | 48 | 1.9503 | 0.1144 | 1.9503 | 1.3965 |
| No log | 0.5319 | 50 | 1.3435 | 0.1379 | 1.3435 | 1.1591 |
| No log | 0.5532 | 52 | 1.2487 | 0.1230 | 1.2487 | 1.1175 |
| No log | 0.5745 | 54 | 1.4633 | 0.2020 | 1.4633 | 1.2097 |
| No log | 0.5957 | 56 | 2.0280 | 0.1595 | 2.0280 | 1.4241 |
| No log | 0.6170 | 58 | 2.3736 | 0.0611 | 2.3736 | 1.5406 |
| No log | 0.6383 | 60 | 2.5705 | 0.0445 | 2.5705 | 1.6033 |
| No log | 0.6596 | 62 | 2.1657 | 0.1597 | 2.1657 | 1.4716 |
| No log | 0.6809 | 64 | 1.5529 | 0.0331 | 1.5529 | 1.2461 |
| No log | 0.7021 | 66 | 1.2420 | 0.1260 | 1.2420 | 1.1144 |
| No log | 0.7234 | 68 | 1.1769 | 0.2478 | 1.1769 | 1.0848 |
| No log | 0.7447 | 70 | 1.1763 | 0.2478 | 1.1763 | 1.0846 |
| No log | 0.7660 | 72 | 1.2833 | 0.1168 | 1.2833 | 1.1328 |
| No log | 0.7872 | 74 | 1.3218 | 0.1472 | 1.3218 | 1.1497 |
| No log | 0.8085 | 76 | 1.4352 | 0.1346 | 1.4352 | 1.1980 |
| No log | 0.8298 | 78 | 1.7740 | 0.0355 | 1.7740 | 1.3319 |
| No log | 0.8511 | 80 | 1.8509 | 0.0482 | 1.8509 | 1.3605 |
| No log | 0.8723 | 82 | 1.6177 | 0.0275 | 1.6177 | 1.2719 |
| No log | 0.8936 | 84 | 1.3811 | 0.1110 | 1.3811 | 1.1752 |
| No log | 0.9149 | 86 | 1.3337 | 0.1437 | 1.3337 | 1.1548 |
| No log | 0.9362 | 88 | 1.3771 | 0.1110 | 1.3771 | 1.1735 |
| No log | 0.9574 | 90 | 1.6434 | 0.1516 | 1.6434 | 1.2819 |
| No log | 0.9787 | 92 | 1.9889 | 0.0946 | 1.9889 | 1.4103 |
| No log | 1.0 | 94 | 1.8446 | 0.0517 | 1.8446 | 1.3582 |
| No log | 1.0213 | 96 | 1.4293 | 0.1438 | 1.4293 | 1.1955 |
| No log | 1.0426 | 98 | 1.1629 | 0.3080 | 1.1629 | 1.0784 |
| No log | 1.0638 | 100 | 1.1416 | 0.3473 | 1.1416 | 1.0685 |
| No log | 1.0851 | 102 | 1.1858 | 0.2026 | 1.1858 | 1.0889 |
| No log | 1.1064 | 104 | 1.3764 | 0.1199 | 1.3764 | 1.1732 |
| No log | 1.1277 | 106 | 1.6255 | 0.1334 | 1.6255 | 1.2750 |
| No log | 1.1489 | 108 | 1.7951 | 0.1249 | 1.7951 | 1.3398 |
| No log | 1.1702 | 110 | 1.7275 | 0.1249 | 1.7275 | 1.3144 |
| No log | 1.1915 | 112 | 1.5399 | 0.2029 | 1.5399 | 1.2409 |
| No log | 1.2128 | 114 | 1.3414 | 0.1713 | 1.3414 | 1.1582 |
| No log | 1.2340 | 116 | 1.1932 | 0.2170 | 1.1932 | 1.0923 |
| No log | 1.2553 | 118 | 1.0264 | 0.4288 | 1.0264 | 1.0131 |
| No log | 1.2766 | 120 | 1.0325 | 0.4514 | 1.0325 | 1.0161 |
| No log | 1.2979 | 122 | 1.0386 | 0.3250 | 1.0386 | 1.0191 |
| No log | 1.3191 | 124 | 1.0262 | 0.3230 | 1.0262 | 1.0130 |
| No log | 1.3404 | 126 | 1.1094 | 0.2342 | 1.1094 | 1.0533 |
| No log | 1.3617 | 128 | 1.2556 | 0.2690 | 1.2556 | 1.1205 |
| No log | 1.3830 | 130 | 1.2537 | 0.2277 | 1.2537 | 1.1197 |
| No log | 1.4043 | 132 | 1.4834 | 0.3002 | 1.4834 | 1.2180 |
| No log | 1.4255 | 134 | 1.7651 | 0.1701 | 1.7651 | 1.3286 |
| No log | 1.4468 | 136 | 1.5991 | 0.2111 | 1.5991 | 1.2646 |
| No log | 1.4681 | 138 | 1.3659 | 0.2099 | 1.3659 | 1.1687 |
| No log | 1.4894 | 140 | 1.4984 | 0.2191 | 1.4984 | 1.2241 |
| No log | 1.5106 | 142 | 1.8098 | 0.1246 | 1.8098 | 1.3453 |
| No log | 1.5319 | 144 | 1.7530 | 0.1336 | 1.7530 | 1.3240 |
| No log | 1.5532 | 146 | 1.3889 | 0.2295 | 1.3889 | 1.1785 |
| No log | 1.5745 | 148 | 1.1307 | 0.2740 | 1.1307 | 1.0634 |
| No log | 1.5957 | 150 | 1.1133 | 0.2694 | 1.1133 | 1.0551 |
| No log | 1.6170 | 152 | 1.2176 | 0.2273 | 1.2176 | 1.1034 |
| No log | 1.6383 | 154 | 1.4075 | 0.2411 | 1.4075 | 1.1864 |
| No log | 1.6596 | 156 | 1.3679 | 0.2347 | 1.3679 | 1.1696 |
| No log | 1.6809 | 158 | 1.2910 | 0.3008 | 1.2910 | 1.1362 |
| No log | 1.7021 | 160 | 1.1760 | 0.4108 | 1.1760 | 1.0844 |
| No log | 1.7234 | 162 | 1.2183 | 0.3517 | 1.2183 | 1.1038 |
| No log | 1.7447 | 164 | 1.4281 | 0.1978 | 1.4281 | 1.1950 |
| No log | 1.7660 | 166 | 1.5922 | 0.2063 | 1.5922 | 1.2618 |
| No log | 1.7872 | 168 | 1.5888 | 0.2285 | 1.5888 | 1.2605 |
| No log | 1.8085 | 170 | 1.3512 | 0.2451 | 1.3512 | 1.1624 |
| No log | 1.8298 | 172 | 1.1777 | 0.2128 | 1.1777 | 1.0852 |
| No log | 1.8511 | 174 | 1.1359 | 0.3399 | 1.1359 | 1.0658 |
| No log | 1.8723 | 176 | 1.1774 | 0.2180 | 1.1774 | 1.0851 |
| No log | 1.8936 | 178 | 1.3833 | 0.2053 | 1.3833 | 1.1761 |
| No log | 1.9149 | 180 | 1.4364 | 0.2053 | 1.4364 | 1.1985 |
| No log | 1.9362 | 182 | 1.3248 | 0.1865 | 1.3248 | 1.1510 |
| No log | 1.9574 | 184 | 1.2727 | 0.3073 | 1.2727 | 1.1281 |
| No log | 1.9787 | 186 | 1.3226 | 0.3554 | 1.3226 | 1.1500 |
| No log | 2.0 | 188 | 1.5785 | 0.2196 | 1.5785 | 1.2564 |
| No log | 2.0213 | 190 | 1.9704 | 0.1227 | 1.9704 | 1.4037 |
| No log | 2.0426 | 192 | 1.8416 | 0.2238 | 1.8416 | 1.3570 |
| No log | 2.0638 | 194 | 1.4613 | 0.2730 | 1.4613 | 1.2088 |
| No log | 2.0851 | 196 | 1.2116 | 0.3216 | 1.2116 | 1.1007 |
| No log | 2.1064 | 198 | 1.1869 | 0.3361 | 1.1869 | 1.0894 |
| No log | 2.1277 | 200 | 1.2387 | 0.2170 | 1.2387 | 1.1130 |
| No log | 2.1489 | 202 | 1.2744 | 0.2459 | 1.2744 | 1.1289 |
| No log | 2.1702 | 204 | 1.3411 | 0.2280 | 1.3411 | 1.1581 |
| No log | 2.1915 | 206 | 1.3016 | 0.2316 | 1.3016 | 1.1409 |
| No log | 2.2128 | 208 | 1.1455 | 0.3108 | 1.1455 | 1.0703 |
| No log | 2.2340 | 210 | 1.1193 | 0.2969 | 1.1193 | 1.0580 |
| No log | 2.2553 | 212 | 1.1120 | 0.3180 | 1.1120 | 1.0545 |
| No log | 2.2766 | 214 | 1.1906 | 0.2476 | 1.1906 | 1.0911 |
| No log | 2.2979 | 216 | 1.3789 | 0.2191 | 1.3789 | 1.1743 |
| No log | 2.3191 | 218 | 1.4393 | 0.2454 | 1.4393 | 1.1997 |
| No log | 2.3404 | 220 | 1.3113 | 0.3287 | 1.3113 | 1.1451 |
| No log | 2.3617 | 222 | 1.1879 | 0.3459 | 1.1879 | 1.0899 |
| No log | 2.3830 | 224 | 1.2079 | 0.3408 | 1.2079 | 1.0991 |
| No log | 2.4043 | 226 | 1.3377 | 0.3663 | 1.3377 | 1.1566 |
| No log | 2.4255 | 228 | 1.6074 | 0.3062 | 1.6074 | 1.2678 |
| No log | 2.4468 | 230 | 1.4519 | 0.3590 | 1.4519 | 1.2050 |
| No log | 2.4681 | 232 | 1.2141 | 0.3025 | 1.2141 | 1.1018 |
| No log | 2.4894 | 234 | 1.0654 | 0.3827 | 1.0654 | 1.0322 |
| No log | 2.5106 | 236 | 1.0615 | 0.3789 | 1.0615 | 1.0303 |
| No log | 2.5319 | 238 | 1.0561 | 0.4160 | 1.0561 | 1.0277 |
| No log | 2.5532 | 240 | 1.0768 | 0.3562 | 1.0768 | 1.0377 |
| No log | 2.5745 | 242 | 1.0990 | 0.3374 | 1.0990 | 1.0483 |
| No log | 2.5957 | 244 | 1.0951 | 0.3558 | 1.0951 | 1.0465 |
| No log | 2.6170 | 246 | 1.0815 | 0.3737 | 1.0815 | 1.0399 |
| No log | 2.6383 | 248 | 1.1637 | 0.2924 | 1.1637 | 1.0787 |
| No log | 2.6596 | 250 | 1.3827 | 0.3462 | 1.3827 | 1.1759 |
| No log | 2.6809 | 252 | 1.5496 | 0.2933 | 1.5496 | 1.2448 |
| No log | 2.7021 | 254 | 1.4851 | 0.3119 | 1.4851 | 1.2186 |
| No log | 2.7234 | 256 | 1.2738 | 0.2740 | 1.2738 | 1.1286 |
| No log | 2.7447 | 258 | 1.1966 | 0.2120 | 1.1966 | 1.0939 |
| No log | 2.7660 | 260 | 1.2704 | 0.2492 | 1.2704 | 1.1271 |
| No log | 2.7872 | 262 | 1.6035 | 0.2212 | 1.6035 | 1.2663 |
| No log | 2.8085 | 264 | 1.7851 | 0.1683 | 1.7851 | 1.3361 |
| No log | 2.8298 | 266 | 1.6490 | 0.1136 | 1.6490 | 1.2842 |
| No log | 2.8511 | 268 | 1.3855 | 0.2049 | 1.3855 | 1.1771 |
| No log | 2.8723 | 270 | 1.3159 | 0.2732 | 1.3159 | 1.1471 |
| No log | 2.8936 | 272 | 1.2836 | 0.3031 | 1.2836 | 1.1330 |
| No log | 2.9149 | 274 | 1.2502 | 0.3031 | 1.2502 | 1.1181 |
| No log | 2.9362 | 276 | 1.1323 | 0.2942 | 1.1323 | 1.0641 |
| No log | 2.9574 | 278 | 1.0924 | 0.2730 | 1.0924 | 1.0452 |
| No log | 2.9787 | 280 | 1.1309 | 0.3298 | 1.1309 | 1.0634 |
| No log | 3.0 | 282 | 1.1593 | 0.3050 | 1.1593 | 1.0767 |
| No log | 3.0213 | 284 | 1.3199 | 0.3870 | 1.3199 | 1.1489 |
| No log | 3.0426 | 286 | 1.3536 | 0.3870 | 1.3536 | 1.1634 |
| No log | 3.0638 | 288 | 1.1962 | 0.3197 | 1.1962 | 1.0937 |
| No log | 3.0851 | 290 | 1.0761 | 0.2832 | 1.0761 | 1.0373 |
| No log | 3.1064 | 292 | 1.0409 | 0.2851 | 1.0409 | 1.0203 |
| No log | 3.1277 | 294 | 1.0749 | 0.3126 | 1.0749 | 1.0368 |
| No log | 3.1489 | 296 | 1.0838 | 0.2805 | 1.0838 | 1.0410 |
| No log | 3.1702 | 298 | 1.0960 | 0.3126 | 1.0960 | 1.0469 |
| No log | 3.1915 | 300 | 1.1233 | 0.3371 | 1.1233 | 1.0599 |
| No log | 3.2128 | 302 | 1.1203 | 0.3101 | 1.1203 | 1.0584 |
| No log | 3.2340 | 304 | 1.1519 | 0.3391 | 1.1519 | 1.0733 |
| No log | 3.2553 | 306 | 1.2777 | 0.3067 | 1.2777 | 1.1304 |
| No log | 3.2766 | 308 | 1.4857 | 0.2913 | 1.4857 | 1.2189 |
| No log | 3.2979 | 310 | 1.4706 | 0.2877 | 1.4706 | 1.2127 |
| No log | 3.3191 | 312 | 1.3142 | 0.2765 | 1.3142 | 1.1464 |
| No log | 3.3404 | 314 | 1.1842 | 0.2504 | 1.1842 | 1.0882 |
| No log | 3.3617 | 316 | 1.1170 | 0.3293 | 1.1170 | 1.0569 |
| No log | 3.3830 | 318 | 1.1092 | 0.2944 | 1.1092 | 1.0532 |
| No log | 3.4043 | 320 | 1.1396 | 0.1779 | 1.1396 | 1.0675 |
| No log | 3.4255 | 322 | 1.2811 | 0.2762 | 1.2811 | 1.1319 |
| No log | 3.4468 | 324 | 1.3020 | 0.2923 | 1.3020 | 1.1410 |
| No log | 3.4681 | 326 | 1.2211 | 0.2805 | 1.2211 | 1.1050 |
| No log | 3.4894 | 328 | 1.1895 | 0.2821 | 1.1895 | 1.0906 |
| No log | 3.5106 | 330 | 1.2676 | 0.2698 | 1.2676 | 1.1259 |
| No log | 3.5319 | 332 | 1.3587 | 0.3398 | 1.3587 | 1.1657 |
| No log | 3.5532 | 334 | 1.3720 | 0.3347 | 1.3720 | 1.1713 |
| No log | 3.5745 | 336 | 1.2408 | 0.2900 | 1.2408 | 1.1139 |
| No log | 3.5957 | 338 | 1.1288 | 0.2608 | 1.1288 | 1.0624 |
| No log | 3.6170 | 340 | 1.1994 | 0.2739 | 1.1994 | 1.0952 |
| No log | 3.6383 | 342 | 1.2671 | 0.3006 | 1.2671 | 1.1257 |
| No log | 3.6596 | 344 | 1.3411 | 0.3271 | 1.3411 | 1.1581 |
| No log | 3.6809 | 346 | 1.1416 | 0.3720 | 1.1416 | 1.0685 |
| No log | 3.7021 | 348 | 1.0869 | 0.4462 | 1.0869 | 1.0425 |
| No log | 3.7234 | 350 | 1.0619 | 0.4229 | 1.0619 | 1.0305 |
| No log | 3.7447 | 352 | 1.0488 | 0.3678 | 1.0488 | 1.0241 |
| No log | 3.7660 | 354 | 1.0676 | 0.3297 | 1.0676 | 1.0333 |
| No log | 3.7872 | 356 | 1.0944 | 0.3322 | 1.0944 | 1.0461 |
| No log | 3.8085 | 358 | 1.1062 | 0.3070 | 1.1062 | 1.0517 |
| No log | 3.8298 | 360 | 1.0466 | 0.4020 | 1.0466 | 1.0230 |
| No log | 3.8511 | 362 | 1.0428 | 0.3601 | 1.0428 | 1.0212 |
| No log | 3.8723 | 364 | 1.0529 | 0.3908 | 1.0529 | 1.0261 |
| No log | 3.8936 | 366 | 1.0642 | 0.3887 | 1.0642 | 1.0316 |
| No log | 3.9149 | 368 | 1.0357 | 0.3764 | 1.0357 | 1.0177 |
| No log | 3.9362 | 370 | 1.0321 | 0.3059 | 1.0321 | 1.0159 |
| No log | 3.9574 | 372 | 1.0293 | 0.2588 | 1.0293 | 1.0146 |
| No log | 3.9787 | 374 | 1.0502 | 0.2730 | 1.0502 | 1.0248 |
| No log | 4.0 | 376 | 1.0536 | 0.2730 | 1.0536 | 1.0264 |
| No log | 4.0213 | 378 | 1.0591 | 0.2989 | 1.0591 | 1.0291 |
| No log | 4.0426 | 380 | 1.0493 | 0.2902 | 1.0493 | 1.0244 |
| No log | 4.0638 | 382 | 1.0600 | 0.2902 | 1.0600 | 1.0296 |
| No log | 4.0851 | 384 | 1.0709 | 0.2902 | 1.0709 | 1.0348 |
| No log | 4.1064 | 386 | 1.0653 | 0.3320 | 1.0653 | 1.0321 |
| No log | 4.1277 | 388 | 1.0777 | 0.2902 | 1.0777 | 1.0381 |
| No log | 4.1489 | 390 | 1.1795 | 0.3314 | 1.1795 | 1.0860 |
| No log | 4.1702 | 392 | 1.2180 | 0.3355 | 1.2180 | 1.1036 |
| No log | 4.1915 | 394 | 1.1132 | 0.2760 | 1.1132 | 1.0551 |
| No log | 4.2128 | 396 | 1.0390 | 0.3171 | 1.0391 | 1.0193 |
| No log | 4.2340 | 398 | 1.0175 | 0.3171 | 1.0175 | 1.0087 |
| No log | 4.2553 | 400 | 1.0087 | 0.2851 | 1.0087 | 1.0043 |
| No log | 4.2766 | 402 | 1.0859 | 0.3255 | 1.0859 | 1.0421 |
| No log | 4.2979 | 404 | 1.0802 | 0.3595 | 1.0802 | 1.0393 |
| No log | 4.3191 | 406 | 0.9970 | 0.3542 | 0.9970 | 0.9985 |
| No log | 4.3404 | 408 | 0.9936 | 0.4091 | 0.9936 | 0.9968 |
| No log | 4.3617 | 410 | 1.0076 | 0.3681 | 1.0076 | 1.0038 |
| No log | 4.3830 | 412 | 1.0263 | 0.2664 | 1.0263 | 1.0130 |
| No log | 4.4043 | 414 | 1.0914 | 0.2832 | 1.0914 | 1.0447 |
| No log | 4.4255 | 416 | 1.1231 | 0.2986 | 1.1231 | 1.0598 |
| No log | 4.4468 | 418 | 1.1536 | 0.3480 | 1.1536 | 1.0741 |
| No log | 4.4681 | 420 | 1.3336 | 0.3697 | 1.3336 | 1.1548 |
| No log | 4.4894 | 422 | 1.4712 | 0.3002 | 1.4712 | 1.2129 |
| No log | 4.5106 | 424 | 1.3668 | 0.3917 | 1.3668 | 1.1691 |
| No log | 4.5319 | 426 | 1.2031 | 0.3030 | 1.2031 | 1.0968 |
| No log | 4.5532 | 428 | 1.1042 | 0.3552 | 1.1042 | 1.0508 |
| No log | 4.5745 | 430 | 1.1317 | 0.2967 | 1.1317 | 1.0638 |
| No log | 4.5957 | 432 | 1.1859 | 0.3410 | 1.1859 | 1.0890 |
| No log | 4.6170 | 434 | 1.1978 | 0.3410 | 1.1978 | 1.0944 |
| No log | 4.6383 | 436 | 1.1394 | 0.3314 | 1.1394 | 1.0674 |
| No log | 4.6596 | 438 | 1.0323 | 0.3286 | 1.0323 | 1.0160 |
| No log | 4.6809 | 440 | 1.0293 | 0.3286 | 1.0293 | 1.0145 |
| No log | 4.7021 | 442 | 1.0724 | 0.2901 | 1.0724 | 1.0356 |
| No log | 4.7234 | 444 | 1.2446 | 0.3742 | 1.2446 | 1.1156 |
| No log | 4.7447 | 446 | 1.2955 | 0.4186 | 1.2955 | 1.1382 |
| No log | 4.7660 | 448 | 1.1429 | 0.3437 | 1.1429 | 1.0691 |
| No log | 4.7872 | 450 | 1.0742 | 0.3432 | 1.0742 | 1.0364 |
| No log | 4.8085 | 452 | 1.0238 | 0.3924 | 1.0238 | 1.0118 |
| No log | 4.8298 | 454 | 1.0134 | 0.3861 | 1.0134 | 1.0067 |
| No log | 4.8511 | 456 | 1.0156 | 0.3490 | 1.0156 | 1.0078 |
| No log | 4.8723 | 458 | 1.0770 | 0.3314 | 1.0770 | 1.0378 |
| No log | 4.8936 | 460 | 1.2342 | 0.3340 | 1.2342 | 1.1109 |
| No log | 4.9149 | 462 | 1.2556 | 0.3117 | 1.2556 | 1.1206 |
| No log | 4.9362 | 464 | 1.1388 | 0.3558 | 1.1388 | 1.0671 |
| No log | 4.9574 | 466 | 1.0820 | 0.2966 | 1.0820 | 1.0402 |
| No log | 4.9787 | 468 | 1.0848 | 0.2966 | 1.0848 | 1.0415 |
| No log | 5.0 | 470 | 1.1431 | 0.3633 | 1.1431 | 1.0692 |
| No log | 5.0213 | 472 | 1.3133 | 0.2863 | 1.3133 | 1.1460 |
| No log | 5.0426 | 474 | 1.3662 | 0.3485 | 1.3662 | 1.1689 |
| No log | 5.0638 | 476 | 1.2300 | 0.3384 | 1.2300 | 1.1090 |
| No log | 5.0851 | 478 | 1.0512 | 0.3056 | 1.0512 | 1.0253 |
| No log | 5.1064 | 480 | 1.0210 | 0.3949 | 1.0210 | 1.0104 |
| No log | 5.1277 | 482 | 1.0209 | 0.4073 | 1.0209 | 1.0104 |
| No log | 5.1489 | 484 | 1.0487 | 0.3459 | 1.0487 | 1.0241 |
| No log | 5.1702 | 486 | 1.0541 | 0.3361 | 1.0541 | 1.0267 |
| No log | 5.1915 | 488 | 1.0854 | 0.3812 | 1.0854 | 1.0418 |
| No log | 5.2128 | 490 | 1.1005 | 0.4055 | 1.1005 | 1.0491 |
| No log | 5.2340 | 492 | 1.1085 | 0.3883 | 1.1085 | 1.0529 |
| No log | 5.2553 | 494 | 1.1784 | 0.3670 | 1.1784 | 1.0856 |
| No log | 5.2766 | 496 | 1.1062 | 0.3755 | 1.1062 | 1.0518 |
| No log | 5.2979 | 498 | 1.0076 | 0.2740 | 1.0076 | 1.0038 |
| 0.3642 | 5.3191 | 500 | 1.0027 | 0.3818 | 1.0027 | 1.0013 |
| 0.3642 | 5.3404 | 502 | 1.0057 | 0.2709 | 1.0057 | 1.0028 |
| 0.3642 | 5.3617 | 504 | 1.0087 | 0.2454 | 1.0087 | 1.0043 |
| 0.3642 | 5.3830 | 506 | 1.0525 | 0.2501 | 1.0525 | 1.0259 |
| 0.3642 | 5.4043 | 508 | 1.0719 | 0.3497 | 1.0719 | 1.0353 |
| 0.3642 | 5.4255 | 510 | 1.0460 | 0.3115 | 1.0460 | 1.0228 |
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_k19_task2_organization
Base model
aubmindlab/bert-base-arabertv02