Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_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: 1.2549
- Qwk: 0.5552
- Mse: 1.2549
- Rmse: 1.1202
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 | 0.0741 | 2 | 5.2933 | -0.0006 | 5.2933 | 2.3007 |
| No log | 0.1481 | 4 | 3.1218 | 0.0754 | 3.1218 | 1.7669 |
| No log | 0.2222 | 6 | 1.9563 | 0.0228 | 1.9563 | 1.3987 |
| No log | 0.2963 | 8 | 2.0323 | 0.0244 | 2.0323 | 1.4256 |
| No log | 0.3704 | 10 | 1.7644 | -0.0134 | 1.7644 | 1.3283 |
| No log | 0.4444 | 12 | 1.5761 | -0.0326 | 1.5761 | 1.2554 |
| No log | 0.5185 | 14 | 1.2678 | 0.1922 | 1.2678 | 1.1260 |
| No log | 0.5926 | 16 | 1.2139 | 0.1707 | 1.2139 | 1.1018 |
| No log | 0.6667 | 18 | 1.4323 | 0.0164 | 1.4323 | 1.1968 |
| No log | 0.7407 | 20 | 1.6317 | -0.1060 | 1.6317 | 1.2774 |
| No log | 0.8148 | 22 | 1.8093 | -0.0229 | 1.8093 | 1.3451 |
| No log | 0.8889 | 24 | 1.8330 | 0.0153 | 1.8330 | 1.3539 |
| No log | 0.9630 | 26 | 1.5415 | 0.0205 | 1.5415 | 1.2416 |
| No log | 1.0370 | 28 | 1.3515 | 0.1962 | 1.3515 | 1.1626 |
| No log | 1.1111 | 30 | 1.2912 | 0.0942 | 1.2912 | 1.1363 |
| No log | 1.1852 | 32 | 1.2838 | 0.1387 | 1.2838 | 1.1331 |
| No log | 1.2593 | 34 | 1.3089 | 0.1506 | 1.3089 | 1.1441 |
| No log | 1.3333 | 36 | 1.3181 | 0.1737 | 1.3181 | 1.1481 |
| No log | 1.4074 | 38 | 1.3175 | 0.2021 | 1.3175 | 1.1478 |
| No log | 1.4815 | 40 | 1.3081 | 0.1339 | 1.3081 | 1.1437 |
| No log | 1.5556 | 42 | 1.2825 | 0.1163 | 1.2825 | 1.1325 |
| No log | 1.6296 | 44 | 1.2649 | 0.0967 | 1.2649 | 1.1247 |
| No log | 1.7037 | 46 | 1.2694 | 0.0877 | 1.2694 | 1.1267 |
| No log | 1.7778 | 48 | 1.2579 | 0.0958 | 1.2579 | 1.1216 |
| No log | 1.8519 | 50 | 1.2656 | 0.1008 | 1.2656 | 1.1250 |
| No log | 1.9259 | 52 | 1.3225 | 0.1763 | 1.3225 | 1.1500 |
| No log | 2.0 | 54 | 1.3893 | 0.0611 | 1.3893 | 1.1787 |
| No log | 2.0741 | 56 | 1.3410 | 0.1349 | 1.3410 | 1.1580 |
| No log | 2.1481 | 58 | 1.2751 | 0.2464 | 1.2751 | 1.1292 |
| No log | 2.2222 | 60 | 1.2376 | 0.2438 | 1.2376 | 1.1125 |
| No log | 2.2963 | 62 | 1.2050 | 0.2263 | 1.2050 | 1.0977 |
| No log | 2.3704 | 64 | 1.1795 | 0.2231 | 1.1795 | 1.0860 |
| No log | 2.4444 | 66 | 1.1252 | 0.2619 | 1.1252 | 1.0608 |
| No log | 2.5185 | 68 | 1.1160 | 0.2991 | 1.1160 | 1.0564 |
| No log | 2.5926 | 70 | 1.0796 | 0.3033 | 1.0796 | 1.0390 |
| No log | 2.6667 | 72 | 1.0454 | 0.2654 | 1.0454 | 1.0224 |
| No log | 2.7407 | 74 | 1.0562 | 0.2320 | 1.0562 | 1.0277 |
| No log | 2.8148 | 76 | 1.0778 | 0.2372 | 1.0778 | 1.0382 |
| No log | 2.8889 | 78 | 1.0659 | 0.2457 | 1.0659 | 1.0324 |
| No log | 2.9630 | 80 | 1.0151 | 0.2542 | 1.0151 | 1.0075 |
| No log | 3.0370 | 82 | 0.9748 | 0.3025 | 0.9748 | 0.9873 |
| No log | 3.1111 | 84 | 0.9482 | 0.3274 | 0.9482 | 0.9738 |
| No log | 3.1852 | 86 | 0.8988 | 0.3781 | 0.8988 | 0.9480 |
| No log | 3.2593 | 88 | 0.8795 | 0.3549 | 0.8795 | 0.9378 |
| No log | 3.3333 | 90 | 0.8770 | 0.3236 | 0.8770 | 0.9365 |
| No log | 3.4074 | 92 | 0.9068 | 0.3207 | 0.9068 | 0.9523 |
| No log | 3.4815 | 94 | 0.8891 | 0.4310 | 0.8891 | 0.9429 |
| No log | 3.5556 | 96 | 0.8278 | 0.4643 | 0.8278 | 0.9099 |
| No log | 3.6296 | 98 | 0.7686 | 0.5458 | 0.7686 | 0.8767 |
| No log | 3.7037 | 100 | 0.7621 | 0.5588 | 0.7621 | 0.8730 |
| No log | 3.7778 | 102 | 0.7269 | 0.5514 | 0.7269 | 0.8526 |
| No log | 3.8519 | 104 | 0.7226 | 0.5460 | 0.7226 | 0.8501 |
| No log | 3.9259 | 106 | 0.6942 | 0.5999 | 0.6942 | 0.8332 |
| No log | 4.0 | 108 | 0.6545 | 0.6479 | 0.6545 | 0.8090 |
| No log | 4.0741 | 110 | 0.7217 | 0.5819 | 0.7217 | 0.8495 |
| No log | 4.1481 | 112 | 0.7180 | 0.6125 | 0.7180 | 0.8473 |
| No log | 4.2222 | 114 | 0.7485 | 0.5899 | 0.7485 | 0.8652 |
| No log | 4.2963 | 116 | 0.7596 | 0.5787 | 0.7596 | 0.8716 |
| No log | 4.3704 | 118 | 0.7586 | 0.5727 | 0.7586 | 0.8710 |
| No log | 4.4444 | 120 | 0.9620 | 0.5283 | 0.9620 | 0.9808 |
| No log | 4.5185 | 122 | 1.0243 | 0.4841 | 1.0243 | 1.0121 |
| No log | 4.5926 | 124 | 0.9321 | 0.5242 | 0.9321 | 0.9655 |
| No log | 4.6667 | 126 | 0.8289 | 0.5995 | 0.8289 | 0.9104 |
| No log | 4.7407 | 128 | 0.7355 | 0.6424 | 0.7355 | 0.8576 |
| No log | 4.8148 | 130 | 0.7090 | 0.6633 | 0.7090 | 0.8420 |
| No log | 4.8889 | 132 | 0.7140 | 0.6633 | 0.7140 | 0.8450 |
| No log | 4.9630 | 134 | 0.7674 | 0.6341 | 0.7674 | 0.8760 |
| No log | 5.0370 | 136 | 0.7984 | 0.5954 | 0.7984 | 0.8935 |
| No log | 5.1111 | 138 | 0.8991 | 0.5501 | 0.8991 | 0.9482 |
| No log | 5.1852 | 140 | 0.9569 | 0.5189 | 0.9569 | 0.9782 |
| No log | 5.2593 | 142 | 0.9874 | 0.4902 | 0.9874 | 0.9937 |
| No log | 5.3333 | 144 | 0.9143 | 0.5325 | 0.9143 | 0.9562 |
| No log | 5.4074 | 146 | 0.7702 | 0.5982 | 0.7702 | 0.8776 |
| No log | 5.4815 | 148 | 0.7150 | 0.6508 | 0.7150 | 0.8456 |
| No log | 5.5556 | 150 | 0.7798 | 0.6160 | 0.7798 | 0.8830 |
| No log | 5.6296 | 152 | 0.8417 | 0.5795 | 0.8417 | 0.9174 |
| No log | 5.7037 | 154 | 0.8706 | 0.5908 | 0.8706 | 0.9330 |
| No log | 5.7778 | 156 | 0.9390 | 0.5828 | 0.9390 | 0.9690 |
| No log | 5.8519 | 158 | 1.0276 | 0.5660 | 1.0276 | 1.0137 |
| No log | 5.9259 | 160 | 1.0607 | 0.5827 | 1.0607 | 1.0299 |
| No log | 6.0 | 162 | 1.0451 | 0.5694 | 1.0451 | 1.0223 |
| No log | 6.0741 | 164 | 1.0300 | 0.5571 | 1.0300 | 1.0149 |
| No log | 6.1481 | 166 | 0.7655 | 0.6826 | 0.7655 | 0.8749 |
| No log | 6.2222 | 168 | 0.6857 | 0.6654 | 0.6857 | 0.8281 |
| No log | 6.2963 | 170 | 0.7313 | 0.6549 | 0.7313 | 0.8552 |
| No log | 6.3704 | 172 | 0.9985 | 0.5791 | 0.9985 | 0.9992 |
| No log | 6.4444 | 174 | 1.2841 | 0.4737 | 1.2841 | 1.1332 |
| No log | 6.5185 | 176 | 1.2292 | 0.4617 | 1.2292 | 1.1087 |
| No log | 6.5926 | 178 | 0.9129 | 0.5783 | 0.9129 | 0.9555 |
| No log | 6.6667 | 180 | 0.7720 | 0.6405 | 0.7720 | 0.8786 |
| No log | 6.7407 | 182 | 0.7901 | 0.5789 | 0.7901 | 0.8889 |
| No log | 6.8148 | 184 | 0.7738 | 0.5757 | 0.7738 | 0.8797 |
| No log | 6.8889 | 186 | 0.8030 | 0.5880 | 0.8030 | 0.8961 |
| No log | 6.9630 | 188 | 0.7644 | 0.6345 | 0.7644 | 0.8743 |
| No log | 7.0370 | 190 | 0.8433 | 0.6180 | 0.8433 | 0.9183 |
| No log | 7.1111 | 192 | 1.0489 | 0.5576 | 1.0489 | 1.0241 |
| No log | 7.1852 | 194 | 0.9396 | 0.5911 | 0.9396 | 0.9693 |
| No log | 7.2593 | 196 | 0.8994 | 0.6115 | 0.8994 | 0.9484 |
| No log | 7.3333 | 198 | 0.8883 | 0.6131 | 0.8883 | 0.9425 |
| No log | 7.4074 | 200 | 0.8730 | 0.5972 | 0.8730 | 0.9343 |
| No log | 7.4815 | 202 | 0.9279 | 0.5593 | 0.9279 | 0.9633 |
| No log | 7.5556 | 204 | 0.8059 | 0.6261 | 0.8059 | 0.8977 |
| No log | 7.6296 | 206 | 0.7421 | 0.6377 | 0.7421 | 0.8614 |
| No log | 7.7037 | 208 | 0.7989 | 0.6139 | 0.7989 | 0.8938 |
| No log | 7.7778 | 210 | 1.0984 | 0.4695 | 1.0984 | 1.0481 |
| No log | 7.8519 | 212 | 1.4146 | 0.4499 | 1.4146 | 1.1894 |
| No log | 7.9259 | 214 | 1.2985 | 0.4996 | 1.2985 | 1.1395 |
| No log | 8.0 | 216 | 1.1331 | 0.5801 | 1.1331 | 1.0645 |
| No log | 8.0741 | 218 | 0.9849 | 0.5811 | 0.9849 | 0.9924 |
| No log | 8.1481 | 220 | 1.0075 | 0.5564 | 1.0075 | 1.0038 |
| No log | 8.2222 | 222 | 1.2023 | 0.5416 | 1.2023 | 1.0965 |
| No log | 8.2963 | 224 | 1.3641 | 0.4985 | 1.3641 | 1.1679 |
| No log | 8.3704 | 226 | 1.2288 | 0.5031 | 1.2288 | 1.1085 |
| No log | 8.4444 | 228 | 0.9690 | 0.5473 | 0.9690 | 0.9844 |
| No log | 8.5185 | 230 | 0.7965 | 0.6329 | 0.7965 | 0.8925 |
| No log | 8.5926 | 232 | 0.8032 | 0.6348 | 0.8032 | 0.8962 |
| No log | 8.6667 | 234 | 0.8228 | 0.6292 | 0.8228 | 0.9071 |
| No log | 8.7407 | 236 | 0.9981 | 0.5644 | 0.9981 | 0.9991 |
| No log | 8.8148 | 238 | 1.3263 | 0.4611 | 1.3263 | 1.1517 |
| No log | 8.8889 | 240 | 1.2896 | 0.4969 | 1.2896 | 1.1356 |
| No log | 8.9630 | 242 | 1.0071 | 0.5411 | 1.0071 | 1.0036 |
| No log | 9.0370 | 244 | 0.8942 | 0.6008 | 0.8942 | 0.9456 |
| No log | 9.1111 | 246 | 0.9296 | 0.5691 | 0.9296 | 0.9642 |
| No log | 9.1852 | 248 | 0.9244 | 0.5924 | 0.9244 | 0.9615 |
| No log | 9.2593 | 250 | 0.9810 | 0.5900 | 0.9810 | 0.9905 |
| No log | 9.3333 | 252 | 1.0001 | 0.5901 | 1.0001 | 1.0000 |
| No log | 9.4074 | 254 | 1.0522 | 0.5796 | 1.0522 | 1.0257 |
| No log | 9.4815 | 256 | 1.0138 | 0.5819 | 1.0138 | 1.0069 |
| No log | 9.5556 | 258 | 0.8263 | 0.6200 | 0.8263 | 0.9090 |
| No log | 9.6296 | 260 | 0.7666 | 0.6301 | 0.7666 | 0.8755 |
| No log | 9.7037 | 262 | 0.8202 | 0.5922 | 0.8202 | 0.9056 |
| No log | 9.7778 | 264 | 0.8499 | 0.5824 | 0.8499 | 0.9219 |
| No log | 9.8519 | 266 | 0.8960 | 0.5743 | 0.8960 | 0.9466 |
| No log | 9.9259 | 268 | 0.9409 | 0.5657 | 0.9409 | 0.9700 |
| No log | 10.0 | 270 | 0.9411 | 0.6003 | 0.9411 | 0.9701 |
| No log | 10.0741 | 272 | 0.9431 | 0.5793 | 0.9431 | 0.9711 |
| No log | 10.1481 | 274 | 0.9279 | 0.5857 | 0.9279 | 0.9633 |
| No log | 10.2222 | 276 | 0.9719 | 0.5459 | 0.9719 | 0.9859 |
| No log | 10.2963 | 278 | 1.1599 | 0.5476 | 1.1599 | 1.0770 |
| No log | 10.3704 | 280 | 1.5327 | 0.4921 | 1.5327 | 1.2380 |
| No log | 10.4444 | 282 | 1.5484 | 0.4771 | 1.5484 | 1.2443 |
| No log | 10.5185 | 284 | 1.3129 | 0.4959 | 1.3129 | 1.1458 |
| No log | 10.5926 | 286 | 1.2501 | 0.4608 | 1.2501 | 1.1181 |
| No log | 10.6667 | 288 | 1.2695 | 0.4438 | 1.2695 | 1.1267 |
| No log | 10.7407 | 290 | 1.3868 | 0.4631 | 1.3868 | 1.1776 |
| No log | 10.8148 | 292 | 1.4363 | 0.4992 | 1.4363 | 1.1984 |
| No log | 10.8889 | 294 | 1.3152 | 0.4757 | 1.3152 | 1.1468 |
| No log | 10.9630 | 296 | 1.2779 | 0.4762 | 1.2779 | 1.1305 |
| No log | 11.0370 | 298 | 1.3024 | 0.4827 | 1.3024 | 1.1412 |
| No log | 11.1111 | 300 | 1.2854 | 0.5082 | 1.2854 | 1.1337 |
| No log | 11.1852 | 302 | 1.0744 | 0.5390 | 1.0744 | 1.0365 |
| No log | 11.2593 | 304 | 0.9450 | 0.6097 | 0.9450 | 0.9721 |
| No log | 11.3333 | 306 | 0.9859 | 0.6080 | 0.9859 | 0.9929 |
| No log | 11.4074 | 308 | 1.1594 | 0.6004 | 1.1594 | 1.0768 |
| No log | 11.4815 | 310 | 1.2558 | 0.5790 | 1.2558 | 1.1206 |
| No log | 11.5556 | 312 | 1.1403 | 0.5928 | 1.1403 | 1.0679 |
| No log | 11.6296 | 314 | 0.8516 | 0.6917 | 0.8516 | 0.9228 |
| No log | 11.7037 | 316 | 0.7176 | 0.6462 | 0.7176 | 0.8471 |
| No log | 11.7778 | 318 | 0.7008 | 0.6462 | 0.7008 | 0.8371 |
| No log | 11.8519 | 320 | 0.7299 | 0.6771 | 0.7299 | 0.8543 |
| No log | 11.9259 | 322 | 0.9258 | 0.6310 | 0.9258 | 0.9622 |
| No log | 12.0 | 324 | 1.2715 | 0.5082 | 1.2715 | 1.1276 |
| No log | 12.0741 | 326 | 1.4459 | 0.4350 | 1.4459 | 1.2025 |
| No log | 12.1481 | 328 | 1.4325 | 0.4538 | 1.4325 | 1.1969 |
| No log | 12.2222 | 330 | 1.2233 | 0.5270 | 1.2233 | 1.1060 |
| No log | 12.2963 | 332 | 1.0986 | 0.5315 | 1.0986 | 1.0482 |
| No log | 12.3704 | 334 | 1.1457 | 0.5477 | 1.1457 | 1.0704 |
| No log | 12.4444 | 336 | 1.3487 | 0.5500 | 1.3487 | 1.1613 |
| No log | 12.5185 | 338 | 1.5018 | 0.5251 | 1.5018 | 1.2255 |
| No log | 12.5926 | 340 | 1.5253 | 0.5007 | 1.5253 | 1.2350 |
| No log | 12.6667 | 342 | 1.3937 | 0.4383 | 1.3937 | 1.1806 |
| No log | 12.7407 | 344 | 1.2772 | 0.4179 | 1.2772 | 1.1301 |
| No log | 12.8148 | 346 | 1.4036 | 0.4031 | 1.4036 | 1.1847 |
| No log | 12.8889 | 348 | 1.4617 | 0.4238 | 1.4617 | 1.2090 |
| No log | 12.9630 | 350 | 1.3550 | 0.4356 | 1.3550 | 1.1641 |
| No log | 13.0370 | 352 | 1.3019 | 0.4826 | 1.3019 | 1.1410 |
| No log | 13.1111 | 354 | 1.2613 | 0.4928 | 1.2613 | 1.1231 |
| No log | 13.1852 | 356 | 1.2932 | 0.4928 | 1.2932 | 1.1372 |
| No log | 13.2593 | 358 | 1.4097 | 0.4745 | 1.4097 | 1.1873 |
| No log | 13.3333 | 360 | 1.4654 | 0.4461 | 1.4654 | 1.2105 |
| No log | 13.4074 | 362 | 1.2672 | 0.5070 | 1.2672 | 1.1257 |
| No log | 13.4815 | 364 | 1.0136 | 0.5469 | 1.0136 | 1.0068 |
| No log | 13.5556 | 366 | 0.9049 | 0.6119 | 0.9049 | 0.9513 |
| No log | 13.6296 | 368 | 0.9764 | 0.5757 | 0.9764 | 0.9881 |
| No log | 13.7037 | 370 | 0.9820 | 0.5590 | 0.9820 | 0.9909 |
| No log | 13.7778 | 372 | 1.0477 | 0.5775 | 1.0477 | 1.0236 |
| No log | 13.8519 | 374 | 0.9824 | 0.6001 | 0.9824 | 0.9911 |
| No log | 13.9259 | 376 | 0.9387 | 0.6105 | 0.9387 | 0.9689 |
| No log | 14.0 | 378 | 0.9604 | 0.6088 | 0.9604 | 0.9800 |
| No log | 14.0741 | 380 | 0.9009 | 0.5984 | 0.9009 | 0.9491 |
| No log | 14.1481 | 382 | 0.8897 | 0.5857 | 0.8897 | 0.9433 |
| No log | 14.2222 | 384 | 0.8994 | 0.5618 | 0.8994 | 0.9483 |
| No log | 14.2963 | 386 | 0.8317 | 0.5770 | 0.8317 | 0.9120 |
| No log | 14.3704 | 388 | 0.7660 | 0.6214 | 0.7660 | 0.8752 |
| No log | 14.4444 | 390 | 0.7141 | 0.6339 | 0.7141 | 0.8450 |
| No log | 14.5185 | 392 | 0.7443 | 0.6135 | 0.7443 | 0.8627 |
| No log | 14.5926 | 394 | 0.8374 | 0.5995 | 0.8374 | 0.9151 |
| No log | 14.6667 | 396 | 0.9433 | 0.6280 | 0.9433 | 0.9712 |
| No log | 14.7407 | 398 | 1.0845 | 0.5813 | 1.0845 | 1.0414 |
| No log | 14.8148 | 400 | 1.0575 | 0.5972 | 1.0575 | 1.0283 |
| No log | 14.8889 | 402 | 0.8861 | 0.6256 | 0.8861 | 0.9413 |
| No log | 14.9630 | 404 | 0.7626 | 0.6159 | 0.7626 | 0.8733 |
| No log | 15.0370 | 406 | 0.7612 | 0.6375 | 0.7612 | 0.8724 |
| No log | 15.1111 | 408 | 0.8505 | 0.5853 | 0.8505 | 0.9222 |
| No log | 15.1852 | 410 | 1.0640 | 0.5394 | 1.0640 | 1.0315 |
| No log | 15.2593 | 412 | 1.1558 | 0.5101 | 1.1558 | 1.0751 |
| No log | 15.3333 | 414 | 1.0267 | 0.5317 | 1.0267 | 1.0133 |
| No log | 15.4074 | 416 | 0.8669 | 0.5925 | 0.8669 | 0.9311 |
| No log | 15.4815 | 418 | 0.8302 | 0.6052 | 0.8302 | 0.9111 |
| No log | 15.5556 | 420 | 0.8888 | 0.5362 | 0.8888 | 0.9427 |
| No log | 15.6296 | 422 | 0.9059 | 0.5704 | 0.9059 | 0.9518 |
| No log | 15.7037 | 424 | 0.8963 | 0.5821 | 0.8963 | 0.9468 |
| No log | 15.7778 | 426 | 0.9498 | 0.5782 | 0.9498 | 0.9746 |
| No log | 15.8519 | 428 | 0.9267 | 0.5869 | 0.9267 | 0.9627 |
| No log | 15.9259 | 430 | 0.8389 | 0.6081 | 0.8389 | 0.9159 |
| No log | 16.0 | 432 | 0.7908 | 0.6112 | 0.7908 | 0.8893 |
| No log | 16.0741 | 434 | 0.7574 | 0.6337 | 0.7574 | 0.8703 |
| No log | 16.1481 | 436 | 0.8073 | 0.5835 | 0.8073 | 0.8985 |
| No log | 16.2222 | 438 | 0.8734 | 0.5758 | 0.8734 | 0.9346 |
| No log | 16.2963 | 440 | 0.9174 | 0.5706 | 0.9174 | 0.9578 |
| No log | 16.3704 | 442 | 0.8531 | 0.5812 | 0.8531 | 0.9236 |
| No log | 16.4444 | 444 | 0.8283 | 0.5785 | 0.8283 | 0.9101 |
| No log | 16.5185 | 446 | 0.7871 | 0.5797 | 0.7871 | 0.8872 |
| No log | 16.5926 | 448 | 0.7465 | 0.6286 | 0.7465 | 0.8640 |
| No log | 16.6667 | 450 | 0.8496 | 0.5975 | 0.8496 | 0.9217 |
| No log | 16.7407 | 452 | 0.9540 | 0.6301 | 0.9540 | 0.9767 |
| No log | 16.8148 | 454 | 1.0168 | 0.5916 | 1.0168 | 1.0084 |
| No log | 16.8889 | 456 | 1.0648 | 0.5918 | 1.0648 | 1.0319 |
| No log | 16.9630 | 458 | 1.0502 | 0.5859 | 1.0502 | 1.0248 |
| No log | 17.0370 | 460 | 0.8727 | 0.5936 | 0.8727 | 0.9342 |
| No log | 17.1111 | 462 | 0.8029 | 0.6176 | 0.8029 | 0.8961 |
| No log | 17.1852 | 464 | 0.8353 | 0.6108 | 0.8353 | 0.9140 |
| No log | 17.2593 | 466 | 0.9625 | 0.5681 | 0.9625 | 0.9811 |
| No log | 17.3333 | 468 | 1.1148 | 0.5778 | 1.1148 | 1.0558 |
| No log | 17.4074 | 470 | 1.0814 | 0.5872 | 1.0814 | 1.0399 |
| No log | 17.4815 | 472 | 0.9297 | 0.6641 | 0.9297 | 0.9642 |
| No log | 17.5556 | 474 | 0.7742 | 0.6441 | 0.7742 | 0.8799 |
| No log | 17.6296 | 476 | 0.7676 | 0.6335 | 0.7676 | 0.8761 |
| No log | 17.7037 | 478 | 0.8760 | 0.5824 | 0.8760 | 0.9359 |
| No log | 17.7778 | 480 | 1.0783 | 0.5357 | 1.0783 | 1.0384 |
| No log | 17.8519 | 482 | 1.1388 | 0.5122 | 1.1388 | 1.0672 |
| No log | 17.9259 | 484 | 1.0391 | 0.5352 | 1.0391 | 1.0193 |
| No log | 18.0 | 486 | 0.8960 | 0.5594 | 0.8960 | 0.9466 |
| No log | 18.0741 | 488 | 0.7772 | 0.6058 | 0.7772 | 0.8816 |
| No log | 18.1481 | 490 | 0.7463 | 0.6150 | 0.7463 | 0.8639 |
| No log | 18.2222 | 492 | 0.7977 | 0.6499 | 0.7977 | 0.8931 |
| No log | 18.2963 | 494 | 0.8644 | 0.6332 | 0.8644 | 0.9298 |
| No log | 18.3704 | 496 | 0.8217 | 0.6417 | 0.8217 | 0.9065 |
| No log | 18.4444 | 498 | 0.7273 | 0.6806 | 0.7273 | 0.8528 |
| 0.4904 | 18.5185 | 500 | 0.7448 | 0.6759 | 0.7448 | 0.8630 |
| 0.4904 | 18.5926 | 502 | 0.8038 | 0.6293 | 0.8038 | 0.8966 |
| 0.4904 | 18.6667 | 504 | 0.8635 | 0.6310 | 0.8635 | 0.9292 |
| 0.4904 | 18.7407 | 506 | 0.9651 | 0.6238 | 0.9651 | 0.9824 |
| 0.4904 | 18.8148 | 508 | 1.1197 | 0.5830 | 1.1197 | 1.0582 |
| 0.4904 | 18.8889 | 510 | 1.2549 | 0.5552 | 1.2549 | 1.1202 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task1_organization
Base model
aubmindlab/bert-base-arabertv02