Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k11_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_run3_AugV5_k11_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_run3_AugV5_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k11_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: 1.0330
- Qwk: 0.5815
- Mse: 1.0330
- Rmse: 1.0164
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 | 0.0364 | 2 | 5.3622 | -0.0006 | 5.3622 | 2.3156 |
| No log | 0.0727 | 4 | 3.2600 | 0.0737 | 3.2600 | 1.8056 |
| No log | 0.1091 | 6 | 2.5120 | -0.1243 | 2.5120 | 1.5849 |
| No log | 0.1455 | 8 | 2.3548 | -0.1381 | 2.3548 | 1.5345 |
| No log | 0.1818 | 10 | 1.5075 | 0.0372 | 1.5075 | 1.2278 |
| No log | 0.2182 | 12 | 1.2224 | 0.1997 | 1.2224 | 1.1056 |
| No log | 0.2545 | 14 | 1.3245 | 0.1635 | 1.3245 | 1.1509 |
| No log | 0.2909 | 16 | 1.6829 | 0.0039 | 1.6829 | 1.2973 |
| No log | 0.3273 | 18 | 1.5802 | -0.0141 | 1.5802 | 1.2571 |
| No log | 0.3636 | 20 | 1.3691 | 0.1401 | 1.3691 | 1.1701 |
| No log | 0.4 | 22 | 1.2826 | 0.1521 | 1.2826 | 1.1325 |
| No log | 0.4364 | 24 | 1.2785 | 0.0787 | 1.2785 | 1.1307 |
| No log | 0.4727 | 26 | 1.2442 | 0.0647 | 1.2442 | 1.1154 |
| No log | 0.5091 | 28 | 1.2643 | 0.2216 | 1.2643 | 1.1244 |
| No log | 0.5455 | 30 | 1.2967 | 0.1976 | 1.2967 | 1.1387 |
| No log | 0.5818 | 32 | 1.2625 | 0.1836 | 1.2625 | 1.1236 |
| No log | 0.6182 | 34 | 1.1363 | 0.2884 | 1.1363 | 1.0660 |
| No log | 0.6545 | 36 | 1.1256 | 0.3072 | 1.1256 | 1.0610 |
| No log | 0.6909 | 38 | 1.0826 | 0.1684 | 1.0826 | 1.0405 |
| No log | 0.7273 | 40 | 1.0691 | 0.1752 | 1.0691 | 1.0340 |
| No log | 0.7636 | 42 | 1.1457 | 0.2868 | 1.1457 | 1.0704 |
| No log | 0.8 | 44 | 1.4510 | 0.3051 | 1.4510 | 1.2046 |
| No log | 0.8364 | 46 | 1.5250 | 0.2883 | 1.5250 | 1.2349 |
| No log | 0.8727 | 48 | 1.2403 | 0.2831 | 1.2403 | 1.1137 |
| No log | 0.9091 | 50 | 1.1315 | 0.3001 | 1.1315 | 1.0637 |
| No log | 0.9455 | 52 | 1.2196 | 0.3078 | 1.2196 | 1.1044 |
| No log | 0.9818 | 54 | 1.1068 | 0.2705 | 1.1068 | 1.0520 |
| No log | 1.0182 | 56 | 0.9907 | 0.3849 | 0.9907 | 0.9953 |
| No log | 1.0545 | 58 | 1.0587 | 0.3146 | 1.0587 | 1.0289 |
| No log | 1.0909 | 60 | 1.1572 | 0.2588 | 1.1572 | 1.0757 |
| No log | 1.1273 | 62 | 1.0643 | 0.3434 | 1.0643 | 1.0317 |
| No log | 1.1636 | 64 | 1.1462 | 0.3221 | 1.1462 | 1.0706 |
| No log | 1.2 | 66 | 1.5910 | 0.1290 | 1.5910 | 1.2613 |
| No log | 1.2364 | 68 | 1.7602 | -0.0134 | 1.7602 | 1.3267 |
| No log | 1.2727 | 70 | 1.6053 | 0.0503 | 1.6053 | 1.2670 |
| No log | 1.3091 | 72 | 1.4838 | 0.0675 | 1.4838 | 1.2181 |
| No log | 1.3455 | 74 | 1.2936 | 0.2500 | 1.2936 | 1.1374 |
| No log | 1.3818 | 76 | 1.2985 | 0.2586 | 1.2985 | 1.1395 |
| No log | 1.4182 | 78 | 1.4790 | 0.1117 | 1.4790 | 1.2161 |
| No log | 1.4545 | 80 | 1.4791 | 0.1274 | 1.4791 | 1.2162 |
| No log | 1.4909 | 82 | 1.2908 | 0.2474 | 1.2908 | 1.1361 |
| No log | 1.5273 | 84 | 1.0250 | 0.3906 | 1.0250 | 1.0124 |
| No log | 1.5636 | 86 | 0.9276 | 0.4158 | 0.9276 | 0.9631 |
| No log | 1.6 | 88 | 0.9150 | 0.4377 | 0.9150 | 0.9566 |
| No log | 1.6364 | 90 | 0.9334 | 0.5301 | 0.9334 | 0.9661 |
| No log | 1.6727 | 92 | 1.1165 | 0.4765 | 1.1165 | 1.0567 |
| No log | 1.7091 | 94 | 1.4586 | 0.3547 | 1.4586 | 1.2077 |
| No log | 1.7455 | 96 | 1.3908 | 0.3713 | 1.3908 | 1.1793 |
| No log | 1.7818 | 98 | 1.1121 | 0.4810 | 1.1121 | 1.0545 |
| No log | 1.8182 | 100 | 1.1628 | 0.4375 | 1.1628 | 1.0784 |
| No log | 1.8545 | 102 | 1.1647 | 0.4415 | 1.1647 | 1.0792 |
| No log | 1.8909 | 104 | 1.1769 | 0.4229 | 1.1769 | 1.0848 |
| No log | 1.9273 | 106 | 1.1601 | 0.4415 | 1.1601 | 1.0771 |
| No log | 1.9636 | 108 | 1.0714 | 0.4643 | 1.0714 | 1.0351 |
| No log | 2.0 | 110 | 1.1357 | 0.4432 | 1.1357 | 1.0657 |
| No log | 2.0364 | 112 | 1.1798 | 0.4653 | 1.1798 | 1.0862 |
| No log | 2.0727 | 114 | 1.4438 | 0.3508 | 1.4438 | 1.2016 |
| No log | 2.1091 | 116 | 1.5307 | 0.3211 | 1.5307 | 1.2372 |
| No log | 2.1455 | 118 | 1.3424 | 0.3759 | 1.3424 | 1.1586 |
| No log | 2.1818 | 120 | 1.1184 | 0.5019 | 1.1184 | 1.0576 |
| No log | 2.2182 | 122 | 1.0220 | 0.5482 | 1.0220 | 1.0109 |
| No log | 2.2545 | 124 | 1.0586 | 0.5160 | 1.0586 | 1.0289 |
| No log | 2.2909 | 126 | 1.1637 | 0.4501 | 1.1637 | 1.0787 |
| No log | 2.3273 | 128 | 1.1234 | 0.4702 | 1.1234 | 1.0599 |
| No log | 2.3636 | 130 | 1.0173 | 0.5204 | 1.0173 | 1.0086 |
| No log | 2.4 | 132 | 0.9464 | 0.5593 | 0.9464 | 0.9728 |
| No log | 2.4364 | 134 | 1.0559 | 0.5153 | 1.0559 | 1.0276 |
| No log | 2.4727 | 136 | 1.3553 | 0.4529 | 1.3553 | 1.1642 |
| No log | 2.5091 | 138 | 1.4799 | 0.4440 | 1.4799 | 1.2165 |
| No log | 2.5455 | 140 | 1.4154 | 0.4610 | 1.4154 | 1.1897 |
| No log | 2.5818 | 142 | 1.2899 | 0.4715 | 1.2899 | 1.1357 |
| No log | 2.6182 | 144 | 1.3989 | 0.4065 | 1.3989 | 1.1828 |
| No log | 2.6545 | 146 | 1.4616 | 0.3408 | 1.4616 | 1.2090 |
| No log | 2.6909 | 148 | 1.5122 | 0.2467 | 1.5122 | 1.2297 |
| No log | 2.7273 | 150 | 1.3498 | 0.1922 | 1.3498 | 1.1618 |
| No log | 2.7636 | 152 | 1.1781 | 0.2064 | 1.1781 | 1.0854 |
| No log | 2.8 | 154 | 1.1291 | 0.3149 | 1.1291 | 1.0626 |
| No log | 2.8364 | 156 | 1.1230 | 0.4021 | 1.1230 | 1.0597 |
| No log | 2.8727 | 158 | 1.0835 | 0.4189 | 1.0835 | 1.0409 |
| No log | 2.9091 | 160 | 1.1286 | 0.2670 | 1.1286 | 1.0624 |
| No log | 2.9455 | 162 | 1.2616 | 0.2095 | 1.2616 | 1.1232 |
| No log | 2.9818 | 164 | 1.3791 | 0.3315 | 1.3791 | 1.1743 |
| No log | 3.0182 | 166 | 1.3995 | 0.3713 | 1.3995 | 1.1830 |
| No log | 3.0545 | 168 | 1.3103 | 0.4084 | 1.3103 | 1.1447 |
| No log | 3.0909 | 170 | 1.3022 | 0.4084 | 1.3022 | 1.1411 |
| No log | 3.1273 | 172 | 1.3057 | 0.4291 | 1.3057 | 1.1427 |
| No log | 3.1636 | 174 | 1.3078 | 0.4240 | 1.3078 | 1.1436 |
| No log | 3.2 | 176 | 1.3126 | 0.3997 | 1.3126 | 1.1457 |
| No log | 3.2364 | 178 | 1.1818 | 0.4417 | 1.1818 | 1.0871 |
| No log | 3.2727 | 180 | 0.9496 | 0.5522 | 0.9496 | 0.9745 |
| No log | 3.3091 | 182 | 0.8768 | 0.5770 | 0.8768 | 0.9364 |
| No log | 3.3455 | 184 | 0.9280 | 0.5485 | 0.9280 | 0.9633 |
| No log | 3.3818 | 186 | 1.0055 | 0.5364 | 1.0055 | 1.0028 |
| No log | 3.4182 | 188 | 0.9258 | 0.5546 | 0.9258 | 0.9622 |
| No log | 3.4545 | 190 | 0.9137 | 0.5570 | 0.9137 | 0.9559 |
| No log | 3.4909 | 192 | 0.9725 | 0.5117 | 0.9725 | 0.9861 |
| No log | 3.5273 | 194 | 0.9469 | 0.4992 | 0.9469 | 0.9731 |
| No log | 3.5636 | 196 | 0.8717 | 0.4834 | 0.8717 | 0.9336 |
| No log | 3.6 | 198 | 0.8847 | 0.4834 | 0.8847 | 0.9406 |
| No log | 3.6364 | 200 | 0.8621 | 0.5758 | 0.8621 | 0.9285 |
| No log | 3.6727 | 202 | 0.8483 | 0.5616 | 0.8483 | 0.9210 |
| No log | 3.7091 | 204 | 0.8626 | 0.5559 | 0.8626 | 0.9287 |
| No log | 3.7455 | 206 | 0.8942 | 0.5174 | 0.8942 | 0.9456 |
| No log | 3.7818 | 208 | 0.8458 | 0.5516 | 0.8458 | 0.9196 |
| No log | 3.8182 | 210 | 0.8306 | 0.5312 | 0.8306 | 0.9114 |
| No log | 3.8545 | 212 | 0.8518 | 0.5253 | 0.8518 | 0.9229 |
| No log | 3.8909 | 214 | 0.9164 | 0.5036 | 0.9164 | 0.9573 |
| No log | 3.9273 | 216 | 0.8871 | 0.52 | 0.8871 | 0.9418 |
| No log | 3.9636 | 218 | 0.8838 | 0.5444 | 0.8838 | 0.9401 |
| No log | 4.0 | 220 | 0.9063 | 0.5228 | 0.9063 | 0.9520 |
| No log | 4.0364 | 222 | 0.9707 | 0.5058 | 0.9707 | 0.9852 |
| No log | 4.0727 | 224 | 0.9590 | 0.4785 | 0.9590 | 0.9793 |
| No log | 4.1091 | 226 | 0.8862 | 0.5131 | 0.8862 | 0.9414 |
| No log | 4.1455 | 228 | 0.8574 | 0.5074 | 0.8574 | 0.9260 |
| No log | 4.1818 | 230 | 0.8248 | 0.5313 | 0.8248 | 0.9082 |
| No log | 4.2182 | 232 | 0.8363 | 0.5577 | 0.8363 | 0.9145 |
| No log | 4.2545 | 234 | 0.8312 | 0.5504 | 0.8312 | 0.9117 |
| No log | 4.2909 | 236 | 0.7621 | 0.5695 | 0.7621 | 0.8730 |
| No log | 4.3273 | 238 | 0.7332 | 0.5753 | 0.7332 | 0.8563 |
| No log | 4.3636 | 240 | 0.7088 | 0.6171 | 0.7088 | 0.8419 |
| No log | 4.4 | 242 | 0.7230 | 0.6337 | 0.7230 | 0.8503 |
| No log | 4.4364 | 244 | 0.7405 | 0.5997 | 0.7405 | 0.8605 |
| No log | 4.4727 | 246 | 0.8064 | 0.5795 | 0.8064 | 0.8980 |
| No log | 4.5091 | 248 | 0.9606 | 0.5667 | 0.9606 | 0.9801 |
| No log | 4.5455 | 250 | 1.2212 | 0.4583 | 1.2212 | 1.1051 |
| No log | 4.5818 | 252 | 1.3419 | 0.4247 | 1.3419 | 1.1584 |
| No log | 4.6182 | 254 | 1.1874 | 0.4961 | 1.1874 | 1.0897 |
| No log | 4.6545 | 256 | 0.9369 | 0.5438 | 0.9369 | 0.9679 |
| No log | 4.6909 | 258 | 0.8644 | 0.6068 | 0.8644 | 0.9297 |
| No log | 4.7273 | 260 | 0.8966 | 0.5992 | 0.8966 | 0.9469 |
| No log | 4.7636 | 262 | 1.0720 | 0.5178 | 1.0720 | 1.0354 |
| No log | 4.8 | 264 | 1.1876 | 0.4879 | 1.1876 | 1.0898 |
| No log | 4.8364 | 266 | 1.1435 | 0.4952 | 1.1435 | 1.0693 |
| No log | 4.8727 | 268 | 0.9874 | 0.5170 | 0.9874 | 0.9937 |
| No log | 4.9091 | 270 | 0.8312 | 0.5696 | 0.8312 | 0.9117 |
| No log | 4.9455 | 272 | 0.7984 | 0.5925 | 0.7984 | 0.8936 |
| No log | 4.9818 | 274 | 0.8212 | 0.5927 | 0.8212 | 0.9062 |
| No log | 5.0182 | 276 | 0.8244 | 0.5767 | 0.8244 | 0.9080 |
| No log | 5.0545 | 278 | 0.8381 | 0.5607 | 0.8381 | 0.9155 |
| No log | 5.0909 | 280 | 0.8497 | 0.5794 | 0.8497 | 0.9218 |
| No log | 5.1273 | 282 | 0.8080 | 0.6083 | 0.8080 | 0.8989 |
| No log | 5.1636 | 284 | 0.7447 | 0.6493 | 0.7447 | 0.8630 |
| No log | 5.2 | 286 | 0.7435 | 0.6598 | 0.7435 | 0.8623 |
| No log | 5.2364 | 288 | 0.7435 | 0.6632 | 0.7435 | 0.8623 |
| No log | 5.2727 | 290 | 0.7921 | 0.6295 | 0.7921 | 0.8900 |
| No log | 5.3091 | 292 | 0.8407 | 0.6013 | 0.8407 | 0.9169 |
| No log | 5.3455 | 294 | 0.8306 | 0.5757 | 0.8306 | 0.9113 |
| No log | 5.3818 | 296 | 0.8613 | 0.5892 | 0.8613 | 0.9281 |
| No log | 5.4182 | 298 | 0.9025 | 0.5810 | 0.9025 | 0.9500 |
| No log | 5.4545 | 300 | 0.9056 | 0.5771 | 0.9056 | 0.9516 |
| No log | 5.4909 | 302 | 0.8559 | 0.6014 | 0.8559 | 0.9251 |
| No log | 5.5273 | 304 | 0.9714 | 0.5935 | 0.9714 | 0.9856 |
| No log | 5.5636 | 306 | 1.1078 | 0.5543 | 1.1078 | 1.0525 |
| No log | 5.6 | 308 | 1.0884 | 0.5310 | 1.0884 | 1.0433 |
| No log | 5.6364 | 310 | 0.9759 | 0.5756 | 0.9759 | 0.9879 |
| No log | 5.6727 | 312 | 0.9850 | 0.5744 | 0.9850 | 0.9925 |
| No log | 5.7091 | 314 | 1.0878 | 0.5205 | 1.0878 | 1.0430 |
| No log | 5.7455 | 316 | 1.0276 | 0.5400 | 1.0276 | 1.0137 |
| No log | 5.7818 | 318 | 0.9061 | 0.6017 | 0.9061 | 0.9519 |
| No log | 5.8182 | 320 | 0.8876 | 0.6129 | 0.8876 | 0.9421 |
| No log | 5.8545 | 322 | 0.8471 | 0.5997 | 0.8471 | 0.9204 |
| No log | 5.8909 | 324 | 0.8852 | 0.6019 | 0.8852 | 0.9409 |
| No log | 5.9273 | 326 | 1.1561 | 0.5377 | 1.1561 | 1.0752 |
| No log | 5.9636 | 328 | 1.4811 | 0.4949 | 1.4811 | 1.2170 |
| No log | 6.0 | 330 | 1.4556 | 0.4896 | 1.4556 | 1.2065 |
| No log | 6.0364 | 332 | 1.1965 | 0.5484 | 1.1965 | 1.0938 |
| No log | 6.0727 | 334 | 0.9236 | 0.5742 | 0.9236 | 0.9611 |
| No log | 6.1091 | 336 | 0.7371 | 0.5961 | 0.7371 | 0.8586 |
| No log | 6.1455 | 338 | 0.7172 | 0.5753 | 0.7172 | 0.8469 |
| No log | 6.1818 | 340 | 0.7443 | 0.5919 | 0.7443 | 0.8627 |
| No log | 6.2182 | 342 | 0.8471 | 0.6074 | 0.8471 | 0.9204 |
| No log | 6.2545 | 344 | 1.0248 | 0.5548 | 1.0248 | 1.0123 |
| No log | 6.2909 | 346 | 1.0894 | 0.5486 | 1.0894 | 1.0437 |
| No log | 6.3273 | 348 | 0.9790 | 0.5309 | 0.9790 | 0.9895 |
| No log | 6.3636 | 350 | 0.9281 | 0.5422 | 0.9281 | 0.9634 |
| No log | 6.4 | 352 | 0.9117 | 0.5422 | 0.9117 | 0.9548 |
| No log | 6.4364 | 354 | 0.9826 | 0.5379 | 0.9826 | 0.9913 |
| No log | 6.4727 | 356 | 1.0251 | 0.5287 | 1.0251 | 1.0125 |
| No log | 6.5091 | 358 | 0.9223 | 0.5552 | 0.9223 | 0.9603 |
| No log | 6.5455 | 360 | 0.7912 | 0.6196 | 0.7912 | 0.8895 |
| No log | 6.5818 | 362 | 0.7289 | 0.6443 | 0.7289 | 0.8537 |
| No log | 6.6182 | 364 | 0.7011 | 0.6482 | 0.7011 | 0.8373 |
| No log | 6.6545 | 366 | 0.7256 | 0.6302 | 0.7256 | 0.8518 |
| No log | 6.6909 | 368 | 0.8200 | 0.6100 | 0.8200 | 0.9055 |
| No log | 6.7273 | 370 | 0.9069 | 0.5669 | 0.9069 | 0.9523 |
| No log | 6.7636 | 372 | 0.8795 | 0.5618 | 0.8795 | 0.9378 |
| No log | 6.8 | 374 | 0.8819 | 0.6173 | 0.8819 | 0.9391 |
| No log | 6.8364 | 376 | 0.8779 | 0.5959 | 0.8779 | 0.9370 |
| No log | 6.8727 | 378 | 0.7921 | 0.6077 | 0.7921 | 0.8900 |
| No log | 6.9091 | 380 | 0.7058 | 0.6395 | 0.7058 | 0.8401 |
| No log | 6.9455 | 382 | 0.6887 | 0.6569 | 0.6887 | 0.8299 |
| No log | 6.9818 | 384 | 0.7037 | 0.6339 | 0.7037 | 0.8389 |
| No log | 7.0182 | 386 | 0.8033 | 0.6030 | 0.8033 | 0.8963 |
| No log | 7.0545 | 388 | 0.8614 | 0.5713 | 0.8614 | 0.9281 |
| No log | 7.0909 | 390 | 0.8837 | 0.5576 | 0.8837 | 0.9401 |
| No log | 7.1273 | 392 | 0.9004 | 0.5591 | 0.9004 | 0.9489 |
| No log | 7.1636 | 394 | 0.8685 | 0.5835 | 0.8685 | 0.9319 |
| No log | 7.2 | 396 | 0.8258 | 0.5797 | 0.8258 | 0.9087 |
| No log | 7.2364 | 398 | 0.8454 | 0.5584 | 0.8454 | 0.9195 |
| No log | 7.2727 | 400 | 0.9590 | 0.5360 | 0.9590 | 0.9793 |
| No log | 7.3091 | 402 | 1.0059 | 0.5390 | 1.0059 | 1.0030 |
| No log | 7.3455 | 404 | 0.9490 | 0.5414 | 0.9490 | 0.9741 |
| No log | 7.3818 | 406 | 0.8466 | 0.5950 | 0.8466 | 0.9201 |
| No log | 7.4182 | 408 | 0.7700 | 0.5711 | 0.7700 | 0.8775 |
| No log | 7.4545 | 410 | 0.7778 | 0.6128 | 0.7778 | 0.8819 |
| No log | 7.4909 | 412 | 0.8316 | 0.6237 | 0.8316 | 0.9119 |
| No log | 7.5273 | 414 | 0.8176 | 0.6183 | 0.8176 | 0.9042 |
| No log | 7.5636 | 416 | 0.7353 | 0.6397 | 0.7353 | 0.8575 |
| No log | 7.6 | 418 | 0.6911 | 0.6219 | 0.6911 | 0.8313 |
| No log | 7.6364 | 420 | 0.6832 | 0.6671 | 0.6832 | 0.8266 |
| No log | 7.6727 | 422 | 0.7111 | 0.6717 | 0.7111 | 0.8433 |
| No log | 7.7091 | 424 | 0.8624 | 0.6034 | 0.8624 | 0.9287 |
| No log | 7.7455 | 426 | 0.9782 | 0.5778 | 0.9782 | 0.9890 |
| No log | 7.7818 | 428 | 0.9174 | 0.6210 | 0.9174 | 0.9578 |
| No log | 7.8182 | 430 | 0.7669 | 0.6460 | 0.7669 | 0.8757 |
| No log | 7.8545 | 432 | 0.7343 | 0.6581 | 0.7343 | 0.8569 |
| No log | 7.8909 | 434 | 0.7338 | 0.6610 | 0.7338 | 0.8566 |
| No log | 7.9273 | 436 | 0.8027 | 0.6271 | 0.8027 | 0.8959 |
| No log | 7.9636 | 438 | 0.9712 | 0.5496 | 0.9712 | 0.9855 |
| No log | 8.0 | 440 | 1.0274 | 0.5423 | 1.0274 | 1.0136 |
| No log | 8.0364 | 442 | 0.9973 | 0.5434 | 0.9973 | 0.9986 |
| No log | 8.0727 | 444 | 0.9342 | 0.5640 | 0.9342 | 0.9665 |
| No log | 8.1091 | 446 | 0.8073 | 0.6225 | 0.8073 | 0.8985 |
| No log | 8.1455 | 448 | 0.7697 | 0.6545 | 0.7697 | 0.8773 |
| No log | 8.1818 | 450 | 0.7889 | 0.6223 | 0.7889 | 0.8882 |
| No log | 8.2182 | 452 | 0.8693 | 0.5968 | 0.8693 | 0.9324 |
| No log | 8.2545 | 454 | 0.8967 | 0.5562 | 0.8967 | 0.9469 |
| No log | 8.2909 | 456 | 0.9411 | 0.5510 | 0.9411 | 0.9701 |
| No log | 8.3273 | 458 | 0.9057 | 0.5521 | 0.9057 | 0.9517 |
| No log | 8.3636 | 460 | 0.8442 | 0.6142 | 0.8442 | 0.9188 |
| No log | 8.4 | 462 | 0.8041 | 0.6112 | 0.8041 | 0.8967 |
| No log | 8.4364 | 464 | 0.8647 | 0.6010 | 0.8647 | 0.9299 |
| No log | 8.4727 | 466 | 1.0197 | 0.5264 | 1.0197 | 1.0098 |
| No log | 8.5091 | 468 | 1.0774 | 0.5255 | 1.0774 | 1.0380 |
| No log | 8.5455 | 470 | 0.9860 | 0.5235 | 0.9860 | 0.9930 |
| No log | 8.5818 | 472 | 0.9379 | 0.5743 | 0.9379 | 0.9684 |
| No log | 8.6182 | 474 | 0.9402 | 0.5704 | 0.9402 | 0.9697 |
| No log | 8.6545 | 476 | 0.9819 | 0.5356 | 0.9819 | 0.9909 |
| No log | 8.6909 | 478 | 1.1399 | 0.5135 | 1.1399 | 1.0677 |
| No log | 8.7273 | 480 | 1.2692 | 0.4933 | 1.2692 | 1.1266 |
| No log | 8.7636 | 482 | 1.3254 | 0.5049 | 1.3254 | 1.1513 |
| No log | 8.8 | 484 | 1.1676 | 0.5120 | 1.1676 | 1.0806 |
| No log | 8.8364 | 486 | 1.0589 | 0.5310 | 1.0589 | 1.0290 |
| No log | 8.8727 | 488 | 1.0133 | 0.5416 | 1.0133 | 1.0066 |
| No log | 8.9091 | 490 | 0.9934 | 0.5454 | 0.9934 | 0.9967 |
| No log | 8.9455 | 492 | 0.9287 | 0.5677 | 0.9287 | 0.9637 |
| No log | 8.9818 | 494 | 0.9592 | 0.5667 | 0.9592 | 0.9794 |
| No log | 9.0182 | 496 | 1.0300 | 0.5579 | 1.0300 | 1.0149 |
| No log | 9.0545 | 498 | 1.0190 | 0.5809 | 1.0190 | 1.0094 |
| 0.4346 | 9.0909 | 500 | 0.8953 | 0.6068 | 0.8953 | 0.9462 |
| 0.4346 | 9.1273 | 502 | 0.8707 | 0.6098 | 0.8707 | 0.9331 |
| 0.4346 | 9.1636 | 504 | 0.9576 | 0.5981 | 0.9576 | 0.9786 |
| 0.4346 | 9.2 | 506 | 1.1589 | 0.5497 | 1.1589 | 1.0765 |
| 0.4346 | 9.2364 | 508 | 1.2418 | 0.5267 | 1.2418 | 1.1143 |
| 0.4346 | 9.2727 | 510 | 1.1357 | 0.5442 | 1.1357 | 1.0657 |
| 0.4346 | 9.3091 | 512 | 1.0330 | 0.5815 | 1.0330 | 1.0164 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 2
Model tree for MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02