Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_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_k5_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_k5_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_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: 1.2451
- Qwk: 0.2302
- Mse: 1.2451
- Rmse: 1.1159
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 | 0.08 | 2 | 4.6119 | 0.0010 | 4.6119 | 2.1475 |
| No log | 0.16 | 4 | 2.5605 | -0.0130 | 2.5605 | 1.6002 |
| No log | 0.24 | 6 | 1.7881 | 0.0062 | 1.7881 | 1.3372 |
| No log | 0.32 | 8 | 1.7678 | 0.0372 | 1.7678 | 1.3296 |
| No log | 0.4 | 10 | 1.3773 | 0.1315 | 1.3773 | 1.1736 |
| No log | 0.48 | 12 | 1.2003 | 0.1696 | 1.2003 | 1.0956 |
| No log | 0.56 | 14 | 1.3249 | 0.1371 | 1.3249 | 1.1510 |
| No log | 0.64 | 16 | 1.5401 | 0.0622 | 1.5401 | 1.2410 |
| No log | 0.72 | 18 | 1.4733 | 0.0898 | 1.4733 | 1.2138 |
| No log | 0.8 | 20 | 1.3406 | 0.0750 | 1.3406 | 1.1578 |
| No log | 0.88 | 22 | 1.1520 | 0.1904 | 1.1520 | 1.0733 |
| No log | 0.96 | 24 | 1.2774 | 0.1505 | 1.2774 | 1.1302 |
| No log | 1.04 | 26 | 1.8312 | -0.0129 | 1.8312 | 1.3532 |
| No log | 1.12 | 28 | 1.7754 | -0.0508 | 1.7754 | 1.3324 |
| No log | 1.2 | 30 | 1.3324 | 0.1112 | 1.3324 | 1.1543 |
| No log | 1.28 | 32 | 1.2793 | 0.1157 | 1.2793 | 1.1311 |
| No log | 1.3600 | 34 | 1.2705 | 0.1646 | 1.2705 | 1.1272 |
| No log | 1.44 | 36 | 1.3351 | 0.1050 | 1.3351 | 1.1555 |
| No log | 1.52 | 38 | 1.5431 | 0.0610 | 1.5431 | 1.2422 |
| No log | 1.6 | 40 | 1.8153 | 0.0568 | 1.8153 | 1.3473 |
| No log | 1.6800 | 42 | 1.7880 | 0.1525 | 1.7880 | 1.3372 |
| No log | 1.76 | 44 | 1.9967 | 0.1704 | 1.9967 | 1.4131 |
| No log | 1.8400 | 46 | 2.2902 | 0.0974 | 2.2902 | 1.5133 |
| No log | 1.92 | 48 | 2.3157 | 0.0974 | 2.3157 | 1.5217 |
| No log | 2.0 | 50 | 1.8623 | 0.1463 | 1.8623 | 1.3646 |
| No log | 2.08 | 52 | 1.5613 | 0.1150 | 1.5613 | 1.2495 |
| No log | 2.16 | 54 | 1.3132 | 0.2298 | 1.3132 | 1.1460 |
| No log | 2.24 | 56 | 1.2443 | 0.2081 | 1.2443 | 1.1155 |
| No log | 2.32 | 58 | 1.3114 | 0.1809 | 1.3114 | 1.1452 |
| No log | 2.4 | 60 | 1.2526 | 0.1638 | 1.2526 | 1.1192 |
| No log | 2.48 | 62 | 1.1939 | 0.1704 | 1.1939 | 1.0926 |
| No log | 2.56 | 64 | 1.1888 | 0.2092 | 1.1888 | 1.0903 |
| No log | 2.64 | 66 | 1.2196 | 0.3205 | 1.2196 | 1.1043 |
| No log | 2.7200 | 68 | 1.4090 | 0.0939 | 1.4090 | 1.1870 |
| No log | 2.8 | 70 | 1.5528 | 0.0624 | 1.5528 | 1.2461 |
| No log | 2.88 | 72 | 1.5294 | 0.1465 | 1.5294 | 1.2367 |
| No log | 2.96 | 74 | 1.3871 | 0.2795 | 1.3871 | 1.1777 |
| No log | 3.04 | 76 | 1.3630 | 0.2795 | 1.3630 | 1.1675 |
| No log | 3.12 | 78 | 1.3144 | 0.3186 | 1.3144 | 1.1465 |
| No log | 3.2 | 80 | 1.3074 | 0.2824 | 1.3074 | 1.1434 |
| No log | 3.2800 | 82 | 1.5252 | 0.1641 | 1.5252 | 1.2350 |
| No log | 3.36 | 84 | 1.9011 | 0.1066 | 1.9011 | 1.3788 |
| No log | 3.44 | 86 | 1.9794 | 0.1066 | 1.9794 | 1.4069 |
| No log | 3.52 | 88 | 1.6043 | 0.1657 | 1.6043 | 1.2666 |
| No log | 3.6 | 90 | 1.2942 | 0.1821 | 1.2942 | 1.1376 |
| No log | 3.68 | 92 | 1.2181 | 0.2527 | 1.2181 | 1.1037 |
| No log | 3.76 | 94 | 1.2498 | 0.2191 | 1.2498 | 1.1179 |
| No log | 3.84 | 96 | 1.3136 | 0.1347 | 1.3136 | 1.1461 |
| No log | 3.92 | 98 | 1.3677 | 0.1652 | 1.3677 | 1.1695 |
| No log | 4.0 | 100 | 1.3731 | 0.1865 | 1.3731 | 1.1718 |
| No log | 4.08 | 102 | 1.3475 | 0.2820 | 1.3475 | 1.1608 |
| No log | 4.16 | 104 | 1.4029 | 0.2353 | 1.4029 | 1.1844 |
| No log | 4.24 | 106 | 1.6060 | 0.1445 | 1.6060 | 1.2673 |
| No log | 4.32 | 108 | 1.5531 | 0.1471 | 1.5531 | 1.2463 |
| No log | 4.4 | 110 | 1.5259 | 0.1647 | 1.5259 | 1.2353 |
| No log | 4.48 | 112 | 1.3220 | 0.2845 | 1.3220 | 1.1498 |
| No log | 4.5600 | 114 | 1.3019 | 0.2629 | 1.3019 | 1.1410 |
| No log | 4.64 | 116 | 1.3314 | 0.2597 | 1.3314 | 1.1539 |
| No log | 4.72 | 118 | 1.3834 | 0.1831 | 1.3834 | 1.1762 |
| No log | 4.8 | 120 | 1.8363 | 0.1419 | 1.8363 | 1.3551 |
| No log | 4.88 | 122 | 1.8317 | 0.1276 | 1.8317 | 1.3534 |
| No log | 4.96 | 124 | 1.4694 | 0.0835 | 1.4694 | 1.2122 |
| No log | 5.04 | 126 | 1.4104 | 0.2488 | 1.4104 | 1.1876 |
| No log | 5.12 | 128 | 1.4849 | 0.2203 | 1.4849 | 1.2186 |
| No log | 5.2 | 130 | 1.7337 | 0.0676 | 1.7337 | 1.3167 |
| No log | 5.28 | 132 | 1.6440 | 0.0843 | 1.6440 | 1.2822 |
| No log | 5.36 | 134 | 1.5031 | 0.2528 | 1.5031 | 1.2260 |
| No log | 5.44 | 136 | 1.4733 | 0.1890 | 1.4733 | 1.2138 |
| No log | 5.52 | 138 | 1.4922 | 0.1315 | 1.4922 | 1.2216 |
| No log | 5.6 | 140 | 1.6283 | 0.1129 | 1.6283 | 1.2761 |
| No log | 5.68 | 142 | 1.5847 | 0.1129 | 1.5847 | 1.2588 |
| No log | 5.76 | 144 | 1.3523 | 0.2443 | 1.3523 | 1.1629 |
| No log | 5.84 | 146 | 1.2584 | 0.2700 | 1.2584 | 1.1218 |
| No log | 5.92 | 148 | 1.2657 | 0.2533 | 1.2657 | 1.1250 |
| No log | 6.0 | 150 | 1.3880 | 0.1781 | 1.3880 | 1.1782 |
| No log | 6.08 | 152 | 1.6214 | 0.1942 | 1.6214 | 1.2733 |
| No log | 6.16 | 154 | 1.7003 | 0.1297 | 1.7003 | 1.3040 |
| No log | 6.24 | 156 | 1.5446 | 0.2148 | 1.5446 | 1.2428 |
| No log | 6.32 | 158 | 1.3208 | 0.2150 | 1.3208 | 1.1493 |
| No log | 6.4 | 160 | 1.2662 | 0.2959 | 1.2662 | 1.1252 |
| No log | 6.48 | 162 | 1.2692 | 0.2616 | 1.2692 | 1.1266 |
| No log | 6.5600 | 164 | 1.4119 | 0.3105 | 1.4119 | 1.1882 |
| No log | 6.64 | 166 | 1.6137 | 0.1604 | 1.6137 | 1.2703 |
| No log | 6.72 | 168 | 1.5738 | 0.1718 | 1.5738 | 1.2545 |
| No log | 6.8 | 170 | 1.3712 | 0.2730 | 1.3712 | 1.1710 |
| No log | 6.88 | 172 | 1.3224 | 0.2996 | 1.3224 | 1.1500 |
| No log | 6.96 | 174 | 1.3550 | 0.2293 | 1.3550 | 1.1641 |
| No log | 7.04 | 176 | 1.3607 | 0.1588 | 1.3607 | 1.1665 |
| No log | 7.12 | 178 | 1.4113 | 0.1641 | 1.4113 | 1.1880 |
| No log | 7.2 | 180 | 1.3719 | 0.1849 | 1.3719 | 1.1713 |
| No log | 7.28 | 182 | 1.2276 | 0.2750 | 1.2276 | 1.1080 |
| No log | 7.36 | 184 | 1.1800 | 0.3303 | 1.1800 | 1.0863 |
| No log | 7.44 | 186 | 1.2159 | 0.3038 | 1.2159 | 1.1027 |
| No log | 7.52 | 188 | 1.3085 | 0.1620 | 1.3085 | 1.1439 |
| No log | 7.6 | 190 | 1.4611 | 0.2356 | 1.4611 | 1.2088 |
| No log | 7.68 | 192 | 1.4282 | 0.1986 | 1.4282 | 1.1951 |
| No log | 7.76 | 194 | 1.2716 | 0.3304 | 1.2716 | 1.1276 |
| No log | 7.84 | 196 | 1.2453 | 0.3304 | 1.2453 | 1.1159 |
| No log | 7.92 | 198 | 1.3462 | 0.1970 | 1.3462 | 1.1603 |
| No log | 8.0 | 200 | 1.3794 | 0.1507 | 1.3794 | 1.1745 |
| No log | 8.08 | 202 | 1.3728 | 0.1590 | 1.3728 | 1.1717 |
| No log | 8.16 | 204 | 1.4763 | 0.1578 | 1.4763 | 1.2150 |
| No log | 8.24 | 206 | 1.3076 | 0.1707 | 1.3076 | 1.1435 |
| No log | 8.32 | 208 | 1.1978 | 0.2972 | 1.1978 | 1.0945 |
| No log | 8.4 | 210 | 1.2091 | 0.2972 | 1.2091 | 1.0996 |
| No log | 8.48 | 212 | 1.4194 | 0.1525 | 1.4194 | 1.1914 |
| No log | 8.56 | 214 | 1.7081 | 0.1053 | 1.7081 | 1.3069 |
| No log | 8.64 | 216 | 1.5319 | 0.1024 | 1.5319 | 1.2377 |
| No log | 8.72 | 218 | 1.2221 | 0.1388 | 1.2221 | 1.1055 |
| No log | 8.8 | 220 | 1.1491 | 0.1732 | 1.1491 | 1.0719 |
| No log | 8.88 | 222 | 1.1435 | 0.2640 | 1.1435 | 1.0693 |
| No log | 8.96 | 224 | 1.2311 | 0.1210 | 1.2311 | 1.1095 |
| No log | 9.04 | 226 | 1.3653 | 0.2246 | 1.3653 | 1.1685 |
| No log | 9.12 | 228 | 1.3157 | 0.1972 | 1.3157 | 1.1471 |
| No log | 9.2 | 230 | 1.3121 | 0.1878 | 1.3121 | 1.1455 |
| No log | 9.28 | 232 | 1.2401 | 0.3103 | 1.2401 | 1.1136 |
| No log | 9.36 | 234 | 1.2447 | 0.2624 | 1.2447 | 1.1157 |
| No log | 9.44 | 236 | 1.2414 | 0.2747 | 1.2414 | 1.1142 |
| No log | 9.52 | 238 | 1.3194 | 0.1972 | 1.3194 | 1.1486 |
| No log | 9.6 | 240 | 1.3462 | 0.2331 | 1.3462 | 1.1603 |
| No log | 9.68 | 242 | 1.2283 | 0.2327 | 1.2283 | 1.1083 |
| No log | 9.76 | 244 | 1.1988 | 0.2647 | 1.1988 | 1.0949 |
| No log | 9.84 | 246 | 1.2290 | 0.2237 | 1.2290 | 1.1086 |
| No log | 9.92 | 248 | 1.2173 | 0.2556 | 1.2173 | 1.1033 |
| No log | 10.0 | 250 | 1.2522 | 0.2991 | 1.2522 | 1.1190 |
| No log | 10.08 | 252 | 1.3241 | 0.2544 | 1.3241 | 1.1507 |
| No log | 10.16 | 254 | 1.2466 | 0.2776 | 1.2466 | 1.1165 |
| No log | 10.24 | 256 | 1.1927 | 0.2526 | 1.1927 | 1.0921 |
| No log | 10.32 | 258 | 1.1947 | 0.2883 | 1.1947 | 1.0930 |
| No log | 10.4 | 260 | 1.1832 | 0.2995 | 1.1832 | 1.0878 |
| No log | 10.48 | 262 | 1.1799 | 0.2417 | 1.1799 | 1.0863 |
| No log | 10.56 | 264 | 1.1837 | 0.2851 | 1.1837 | 1.0880 |
| No log | 10.64 | 266 | 1.2301 | 0.3305 | 1.2301 | 1.1091 |
| No log | 10.72 | 268 | 1.1636 | 0.3133 | 1.1636 | 1.0787 |
| No log | 10.8 | 270 | 1.1336 | 0.2417 | 1.1336 | 1.0647 |
| No log | 10.88 | 272 | 1.1660 | 0.3191 | 1.1660 | 1.0798 |
| No log | 10.96 | 274 | 1.2234 | 0.3017 | 1.2234 | 1.1061 |
| No log | 11.04 | 276 | 1.3091 | 0.2891 | 1.3091 | 1.1442 |
| No log | 11.12 | 278 | 1.3194 | 0.2288 | 1.3194 | 1.1487 |
| No log | 11.2 | 280 | 1.2201 | 0.2803 | 1.2201 | 1.1046 |
| No log | 11.28 | 282 | 1.1696 | 0.3661 | 1.1696 | 1.0815 |
| No log | 11.36 | 284 | 1.1663 | 0.2417 | 1.1663 | 1.0800 |
| No log | 11.44 | 286 | 1.2655 | 0.2296 | 1.2655 | 1.1249 |
| No log | 11.52 | 288 | 1.3287 | 0.2162 | 1.3287 | 1.1527 |
| No log | 11.6 | 290 | 1.2539 | 0.2296 | 1.2539 | 1.1198 |
| No log | 11.68 | 292 | 1.2302 | 0.2249 | 1.2302 | 1.1092 |
| No log | 11.76 | 294 | 1.2088 | 0.2572 | 1.2088 | 1.0995 |
| No log | 11.84 | 296 | 1.1886 | 0.2927 | 1.1886 | 1.0902 |
| No log | 11.92 | 298 | 1.2337 | 0.2531 | 1.2337 | 1.1107 |
| No log | 12.0 | 300 | 1.2806 | 0.2069 | 1.2806 | 1.1316 |
| No log | 12.08 | 302 | 1.2920 | 0.2069 | 1.2920 | 1.1366 |
| No log | 12.16 | 304 | 1.2466 | 0.2225 | 1.2466 | 1.1165 |
| No log | 12.24 | 306 | 1.2098 | 0.2820 | 1.2098 | 1.0999 |
| No log | 12.32 | 308 | 1.2145 | 0.2820 | 1.2145 | 1.1020 |
| No log | 12.4 | 310 | 1.2759 | 0.2006 | 1.2759 | 1.1295 |
| No log | 12.48 | 312 | 1.3769 | 0.2378 | 1.3769 | 1.1734 |
| No log | 12.56 | 314 | 1.5487 | 0.1774 | 1.5487 | 1.2445 |
| No log | 12.64 | 316 | 1.5942 | 0.1673 | 1.5942 | 1.2626 |
| No log | 12.72 | 318 | 1.4996 | 0.2660 | 1.4996 | 1.2246 |
| No log | 12.8 | 320 | 1.3490 | 0.1988 | 1.3490 | 1.1615 |
| No log | 12.88 | 322 | 1.2276 | 0.2633 | 1.2276 | 1.1080 |
| No log | 12.96 | 324 | 1.2010 | 0.2523 | 1.2010 | 1.0959 |
| No log | 13.04 | 326 | 1.1887 | 0.2239 | 1.1887 | 1.0903 |
| No log | 13.12 | 328 | 1.1749 | 0.2694 | 1.1749 | 1.0839 |
| No log | 13.2 | 330 | 1.1833 | 0.2902 | 1.1833 | 1.0878 |
| No log | 13.28 | 332 | 1.1564 | 0.2694 | 1.1564 | 1.0754 |
| No log | 13.36 | 334 | 1.1204 | 0.2703 | 1.1204 | 1.0585 |
| No log | 13.44 | 336 | 1.1169 | 0.2950 | 1.1169 | 1.0568 |
| No log | 13.52 | 338 | 1.1350 | 0.2331 | 1.1350 | 1.0654 |
| No log | 13.6 | 340 | 1.2111 | 0.2458 | 1.2111 | 1.1005 |
| No log | 13.68 | 342 | 1.3303 | 0.2378 | 1.3303 | 1.1534 |
| No log | 13.76 | 344 | 1.4193 | 0.2304 | 1.4193 | 1.1913 |
| No log | 13.84 | 346 | 1.3500 | 0.2366 | 1.3500 | 1.1619 |
| No log | 13.92 | 348 | 1.2633 | 0.2952 | 1.2633 | 1.1240 |
| No log | 14.0 | 350 | 1.2569 | 0.2634 | 1.2569 | 1.1211 |
| No log | 14.08 | 352 | 1.2395 | 0.2198 | 1.2395 | 1.1134 |
| No log | 14.16 | 354 | 1.2368 | 0.2198 | 1.2368 | 1.1121 |
| No log | 14.24 | 356 | 1.2534 | 0.1928 | 1.2534 | 1.1195 |
| No log | 14.32 | 358 | 1.3055 | 0.2361 | 1.3055 | 1.1426 |
| No log | 14.4 | 360 | 1.4205 | 0.2807 | 1.4205 | 1.1919 |
| No log | 14.48 | 362 | 1.3996 | 0.2570 | 1.3996 | 1.1831 |
| No log | 14.56 | 364 | 1.2815 | 0.1885 | 1.2815 | 1.1320 |
| No log | 14.64 | 366 | 1.2079 | 0.3017 | 1.2079 | 1.0990 |
| No log | 14.72 | 368 | 1.2169 | 0.2684 | 1.2169 | 1.1031 |
| No log | 14.8 | 370 | 1.2202 | 0.2767 | 1.2202 | 1.1046 |
| No log | 14.88 | 372 | 1.2085 | 0.2931 | 1.2085 | 1.0993 |
| No log | 14.96 | 374 | 1.2181 | 0.2911 | 1.2181 | 1.1037 |
| No log | 15.04 | 376 | 1.2030 | 0.2995 | 1.2030 | 1.0968 |
| No log | 15.12 | 378 | 1.2203 | 0.2588 | 1.2203 | 1.1047 |
| No log | 15.2 | 380 | 1.2143 | 0.2877 | 1.2143 | 1.1020 |
| No log | 15.28 | 382 | 1.2224 | 0.2556 | 1.2224 | 1.1056 |
| No log | 15.36 | 384 | 1.1905 | 0.2012 | 1.1905 | 1.0911 |
| No log | 15.44 | 386 | 1.2236 | 0.2021 | 1.2236 | 1.1062 |
| No log | 15.52 | 388 | 1.2610 | 0.1751 | 1.2610 | 1.1229 |
| No log | 15.6 | 390 | 1.2285 | 0.2556 | 1.2285 | 1.1084 |
| No log | 15.68 | 392 | 1.2074 | 0.2618 | 1.2074 | 1.0988 |
| No log | 15.76 | 394 | 1.2376 | 0.2604 | 1.2376 | 1.1125 |
| No log | 15.84 | 396 | 1.2616 | 0.2710 | 1.2616 | 1.1232 |
| No log | 15.92 | 398 | 1.2463 | 0.2550 | 1.2463 | 1.1164 |
| No log | 16.0 | 400 | 1.1538 | 0.3353 | 1.1538 | 1.0742 |
| No log | 16.08 | 402 | 1.1376 | 0.2877 | 1.1376 | 1.0666 |
| No log | 16.16 | 404 | 1.1805 | 0.2395 | 1.1805 | 1.0865 |
| No log | 16.24 | 406 | 1.1893 | 0.2395 | 1.1893 | 1.0905 |
| No log | 16.32 | 408 | 1.1797 | 0.2664 | 1.1797 | 1.0861 |
| No log | 16.4 | 410 | 1.1771 | 0.2877 | 1.1771 | 1.0849 |
| No log | 16.48 | 412 | 1.2115 | 0.3014 | 1.2115 | 1.1007 |
| No log | 16.56 | 414 | 1.2322 | 0.3486 | 1.2322 | 1.1100 |
| No log | 16.64 | 416 | 1.2636 | 0.3486 | 1.2636 | 1.1241 |
| No log | 16.72 | 418 | 1.3086 | 0.2247 | 1.3086 | 1.1439 |
| No log | 16.8 | 420 | 1.3221 | 0.2169 | 1.3221 | 1.1498 |
| No log | 16.88 | 422 | 1.2680 | 0.1975 | 1.2680 | 1.1261 |
| No log | 16.96 | 424 | 1.2585 | 0.1824 | 1.2585 | 1.1218 |
| No log | 17.04 | 426 | 1.2774 | 0.2210 | 1.2774 | 1.1302 |
| No log | 17.12 | 428 | 1.2637 | 0.2108 | 1.2637 | 1.1242 |
| No log | 17.2 | 430 | 1.3012 | 0.2108 | 1.3012 | 1.1407 |
| No log | 17.28 | 432 | 1.3170 | 0.2389 | 1.3170 | 1.1476 |
| No log | 17.36 | 434 | 1.3071 | 0.2209 | 1.3071 | 1.1433 |
| No log | 17.44 | 436 | 1.2721 | 0.2340 | 1.2721 | 1.1279 |
| No log | 17.52 | 438 | 1.2554 | 0.2812 | 1.2554 | 1.1205 |
| No log | 17.6 | 440 | 1.2191 | 0.3186 | 1.2191 | 1.1041 |
| No log | 17.68 | 442 | 1.2108 | 0.2995 | 1.2108 | 1.1003 |
| No log | 17.76 | 444 | 1.2325 | 0.2485 | 1.2325 | 1.1102 |
| No log | 17.84 | 446 | 1.3251 | 0.2078 | 1.3251 | 1.1511 |
| No log | 17.92 | 448 | 1.3199 | 0.1891 | 1.3199 | 1.1489 |
| No log | 18.0 | 450 | 1.2982 | 0.2472 | 1.2982 | 1.1394 |
| No log | 18.08 | 452 | 1.3780 | 0.1716 | 1.3780 | 1.1739 |
| No log | 18.16 | 454 | 1.3496 | 0.2072 | 1.3496 | 1.1617 |
| No log | 18.24 | 456 | 1.3933 | 0.1986 | 1.3933 | 1.1804 |
| No log | 18.32 | 458 | 1.4208 | 0.1490 | 1.4208 | 1.1920 |
| No log | 18.4 | 460 | 1.3867 | 0.1578 | 1.3867 | 1.1776 |
| No log | 18.48 | 462 | 1.3238 | 0.1702 | 1.3238 | 1.1506 |
| No log | 18.56 | 464 | 1.3017 | 0.2249 | 1.3017 | 1.1409 |
| No log | 18.64 | 466 | 1.3014 | 0.2249 | 1.3014 | 1.1408 |
| No log | 18.72 | 468 | 1.2604 | 0.2239 | 1.2604 | 1.1227 |
| No log | 18.8 | 470 | 1.2373 | 0.1914 | 1.2373 | 1.1123 |
| No log | 18.88 | 472 | 1.2494 | 0.2006 | 1.2494 | 1.1178 |
| No log | 18.96 | 474 | 1.2437 | 0.2006 | 1.2437 | 1.1152 |
| No log | 19.04 | 476 | 1.3085 | 0.2198 | 1.3085 | 1.1439 |
| No log | 19.12 | 478 | 1.2517 | 0.2358 | 1.2517 | 1.1188 |
| No log | 19.2 | 480 | 1.1886 | 0.2995 | 1.1886 | 1.0902 |
| No log | 19.28 | 482 | 1.1657 | 0.2194 | 1.1657 | 1.0797 |
| No log | 19.36 | 484 | 1.1682 | 0.3418 | 1.1682 | 1.0808 |
| No log | 19.44 | 486 | 1.2594 | 0.2060 | 1.2594 | 1.1222 |
| No log | 19.52 | 488 | 1.3364 | 0.2293 | 1.3364 | 1.1560 |
| No log | 19.6 | 490 | 1.3200 | 0.2839 | 1.3200 | 1.1489 |
| No log | 19.68 | 492 | 1.2205 | 0.1966 | 1.2205 | 1.1048 |
| No log | 19.76 | 494 | 1.1481 | 0.3059 | 1.1481 | 1.0715 |
| No log | 19.84 | 496 | 1.1478 | 0.3059 | 1.1478 | 1.0714 |
| No log | 19.92 | 498 | 1.1888 | 0.2376 | 1.1888 | 1.0903 |
| 0.3213 | 20.0 | 500 | 1.2718 | 0.2654 | 1.2718 | 1.1277 |
| 0.3213 | 20.08 | 502 | 1.2925 | 0.2896 | 1.2925 | 1.1369 |
| 0.3213 | 20.16 | 504 | 1.2454 | 0.2851 | 1.2454 | 1.1160 |
| 0.3213 | 20.24 | 506 | 1.2032 | 0.2353 | 1.2032 | 1.0969 |
| 0.3213 | 20.32 | 508 | 1.1564 | 0.1637 | 1.1564 | 1.0753 |
| 0.3213 | 20.4 | 510 | 1.1518 | 0.2907 | 1.1518 | 1.0732 |
| 0.3213 | 20.48 | 512 | 1.1613 | 0.2516 | 1.1613 | 1.0777 |
| 0.3213 | 20.56 | 514 | 1.2483 | 0.2438 | 1.2483 | 1.1173 |
| 0.3213 | 20.64 | 516 | 1.4459 | 0.2468 | 1.4459 | 1.2025 |
| 0.3213 | 20.72 | 518 | 1.5142 | 0.2191 | 1.5142 | 1.2305 |
| 0.3213 | 20.8 | 520 | 1.3878 | 0.2772 | 1.3878 | 1.1780 |
| 0.3213 | 20.88 | 522 | 1.2209 | 0.2249 | 1.2209 | 1.1049 |
| 0.3213 | 20.96 | 524 | 1.1561 | 0.2731 | 1.1561 | 1.0752 |
| 0.3213 | 21.04 | 526 | 1.1629 | 0.2913 | 1.1629 | 1.0784 |
| 0.3213 | 21.12 | 528 | 1.1631 | 0.3001 | 1.1631 | 1.0785 |
| 0.3213 | 21.2 | 530 | 1.1291 | 0.3219 | 1.1291 | 1.0626 |
| 0.3213 | 21.28 | 532 | 1.1269 | 0.2157 | 1.1269 | 1.0616 |
| 0.3213 | 21.36 | 534 | 1.2085 | 0.2871 | 1.2085 | 1.0993 |
| 0.3213 | 21.44 | 536 | 1.2968 | 0.3031 | 1.2968 | 1.1388 |
| 0.3213 | 21.52 | 538 | 1.3067 | 0.3052 | 1.3067 | 1.1431 |
| 0.3213 | 21.6 | 540 | 1.2572 | 0.2446 | 1.2572 | 1.1212 |
| 0.3213 | 21.68 | 542 | 1.2084 | 0.1500 | 1.2084 | 1.0993 |
| 0.3213 | 21.76 | 544 | 1.1906 | 0.1498 | 1.1906 | 1.0912 |
| 0.3213 | 21.84 | 546 | 1.2029 | 0.1817 | 1.2029 | 1.0968 |
| 0.3213 | 21.92 | 548 | 1.2451 | 0.2302 | 1.2451 | 1.1159 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_task2_organization
Base model
aubmindlab/bert-base-arabertv02