Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_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: 0.9950
- Qwk: 0.5960
- Mse: 0.9950
- Rmse: 0.9975
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 | 0.025 | 2 | 7.0340 | 0.0057 | 7.0340 | 2.6522 |
| No log | 0.05 | 4 | 4.5723 | 0.0576 | 4.5723 | 2.1383 |
| No log | 0.075 | 6 | 3.7382 | -0.0417 | 3.7382 | 1.9334 |
| No log | 0.1 | 8 | 3.1456 | -0.0230 | 3.1456 | 1.7736 |
| No log | 0.125 | 10 | 2.0316 | 0.1000 | 2.0316 | 1.4253 |
| No log | 0.15 | 12 | 2.0966 | 0.1552 | 2.0966 | 1.4480 |
| No log | 0.175 | 14 | 2.9084 | -0.0267 | 2.9084 | 1.7054 |
| No log | 0.2 | 16 | 3.0343 | 0.0 | 3.0343 | 1.7419 |
| No log | 0.225 | 18 | 2.4678 | -0.0429 | 2.4678 | 1.5709 |
| No log | 0.25 | 20 | 2.0972 | 0.1538 | 2.0972 | 1.4482 |
| No log | 0.275 | 22 | 1.9064 | 0.2407 | 1.9064 | 1.3807 |
| No log | 0.3 | 24 | 1.7618 | 0.2056 | 1.7618 | 1.3273 |
| No log | 0.325 | 26 | 1.7357 | 0.2407 | 1.7357 | 1.3175 |
| No log | 0.35 | 28 | 1.8140 | 0.3248 | 1.8140 | 1.3469 |
| No log | 0.375 | 30 | 2.0906 | 0.1324 | 2.0906 | 1.4459 |
| No log | 0.4 | 32 | 2.1972 | 0.1429 | 2.1972 | 1.4823 |
| No log | 0.425 | 34 | 2.1442 | 0.1884 | 2.1442 | 1.4643 |
| No log | 0.45 | 36 | 2.0012 | 0.2143 | 2.0012 | 1.4146 |
| No log | 0.475 | 38 | 1.9657 | 0.3022 | 1.9657 | 1.4020 |
| No log | 0.5 | 40 | 2.2173 | 0.2797 | 2.2173 | 1.4891 |
| No log | 0.525 | 42 | 1.9776 | 0.2979 | 1.9776 | 1.4063 |
| No log | 0.55 | 44 | 1.5153 | 0.3226 | 1.5153 | 1.2310 |
| No log | 0.575 | 46 | 1.5057 | 0.2832 | 1.5057 | 1.2271 |
| No log | 0.6 | 48 | 1.4874 | 0.3025 | 1.4874 | 1.2196 |
| No log | 0.625 | 50 | 1.6923 | 0.3053 | 1.6923 | 1.3009 |
| No log | 0.65 | 52 | 2.4826 | 0.1595 | 2.4826 | 1.5756 |
| No log | 0.675 | 54 | 2.7397 | 0.1595 | 2.7397 | 1.6552 |
| No log | 0.7 | 56 | 2.5893 | 0.1341 | 2.5893 | 1.6091 |
| No log | 0.725 | 58 | 2.1881 | 0.2483 | 2.1881 | 1.4792 |
| No log | 0.75 | 60 | 1.4652 | 0.3817 | 1.4652 | 1.2104 |
| No log | 0.775 | 62 | 1.2336 | 0.4333 | 1.2336 | 1.1107 |
| No log | 0.8 | 64 | 1.2574 | 0.4274 | 1.2574 | 1.1213 |
| No log | 0.825 | 66 | 1.1913 | 0.4103 | 1.1913 | 1.0915 |
| No log | 0.85 | 68 | 1.1187 | 0.5354 | 1.1187 | 1.0577 |
| No log | 0.875 | 70 | 1.3972 | 0.5180 | 1.3972 | 1.1820 |
| No log | 0.9 | 72 | 1.9418 | 0.3537 | 1.9418 | 1.3935 |
| No log | 0.925 | 74 | 2.2448 | 0.2025 | 2.2448 | 1.4983 |
| No log | 0.95 | 76 | 2.2219 | 0.2166 | 2.2219 | 1.4906 |
| No log | 0.975 | 78 | 1.8501 | 0.3444 | 1.8501 | 1.3602 |
| No log | 1.0 | 80 | 1.3386 | 0.5417 | 1.3386 | 1.1570 |
| No log | 1.025 | 82 | 1.0541 | 0.6715 | 1.0541 | 1.0267 |
| No log | 1.05 | 84 | 1.0408 | 0.6815 | 1.0408 | 1.0202 |
| No log | 1.075 | 86 | 1.0051 | 0.6715 | 1.0051 | 1.0025 |
| No log | 1.1 | 88 | 1.0981 | 0.6043 | 1.0981 | 1.0479 |
| No log | 1.125 | 90 | 1.3231 | 0.5278 | 1.3231 | 1.1503 |
| No log | 1.15 | 92 | 1.7709 | 0.3467 | 1.7709 | 1.3308 |
| No log | 1.175 | 94 | 2.2804 | 0.3678 | 2.2804 | 1.5101 |
| No log | 1.2 | 96 | 2.2093 | 0.3842 | 2.2093 | 1.4864 |
| No log | 1.225 | 98 | 1.8617 | 0.4186 | 1.8617 | 1.3644 |
| No log | 1.25 | 100 | 1.3491 | 0.5256 | 1.3491 | 1.1615 |
| No log | 1.275 | 102 | 1.1297 | 0.5571 | 1.1297 | 1.0629 |
| No log | 1.3 | 104 | 1.0497 | 0.6522 | 1.0497 | 1.0245 |
| No log | 1.325 | 106 | 0.9963 | 0.6809 | 0.9963 | 0.9981 |
| No log | 1.35 | 108 | 0.9931 | 0.6667 | 0.9931 | 0.9965 |
| No log | 1.375 | 110 | 1.1359 | 0.6242 | 1.1359 | 1.0658 |
| No log | 1.4 | 112 | 1.0997 | 0.6234 | 1.0997 | 1.0487 |
| No log | 1.425 | 114 | 1.0439 | 0.6434 | 1.0439 | 1.0217 |
| No log | 1.45 | 116 | 1.0126 | 0.6573 | 1.0126 | 1.0063 |
| No log | 1.475 | 118 | 1.0789 | 0.5942 | 1.0789 | 1.0387 |
| No log | 1.5 | 120 | 1.2325 | 0.5359 | 1.2325 | 1.1102 |
| No log | 1.525 | 122 | 1.4921 | 0.5 | 1.4921 | 1.2215 |
| No log | 1.55 | 124 | 1.7480 | 0.4551 | 1.7480 | 1.3221 |
| No log | 1.575 | 126 | 1.6975 | 0.4691 | 1.6975 | 1.3029 |
| No log | 1.6 | 128 | 1.5787 | 0.4935 | 1.5787 | 1.2565 |
| No log | 1.625 | 130 | 1.6330 | 0.4901 | 1.6330 | 1.2779 |
| No log | 1.65 | 132 | 1.7046 | 0.4810 | 1.7046 | 1.3056 |
| No log | 1.675 | 134 | 1.6180 | 0.5256 | 1.6180 | 1.2720 |
| No log | 1.7 | 136 | 1.3285 | 0.5987 | 1.3285 | 1.1526 |
| No log | 1.725 | 138 | 1.0989 | 0.5897 | 1.0989 | 1.0483 |
| No log | 1.75 | 140 | 0.9155 | 0.7027 | 0.9155 | 0.9568 |
| No log | 1.775 | 142 | 0.8154 | 0.7183 | 0.8154 | 0.9030 |
| No log | 1.8 | 144 | 0.8396 | 0.6619 | 0.8396 | 0.9163 |
| No log | 1.825 | 146 | 0.8500 | 0.6569 | 0.8500 | 0.9220 |
| No log | 1.85 | 148 | 0.8475 | 0.7273 | 0.8475 | 0.9206 |
| No log | 1.875 | 150 | 0.8794 | 0.7172 | 0.8794 | 0.9378 |
| No log | 1.9 | 152 | 0.8880 | 0.75 | 0.8880 | 0.9423 |
| No log | 1.925 | 154 | 0.8763 | 0.7083 | 0.8763 | 0.9361 |
| No log | 1.95 | 156 | 0.8619 | 0.7042 | 0.8619 | 0.9284 |
| No log | 1.975 | 158 | 0.8865 | 0.6621 | 0.8865 | 0.9415 |
| No log | 2.0 | 160 | 1.0731 | 0.6053 | 1.0731 | 1.0359 |
| No log | 2.025 | 162 | 1.4444 | 0.5697 | 1.4444 | 1.2018 |
| No log | 2.05 | 164 | 1.7874 | 0.4309 | 1.7874 | 1.3369 |
| No log | 2.075 | 166 | 1.7641 | 0.4699 | 1.7641 | 1.3282 |
| No log | 2.1 | 168 | 1.4441 | 0.5934 | 1.4441 | 1.2017 |
| No log | 2.125 | 170 | 1.0554 | 0.6746 | 1.0554 | 1.0273 |
| No log | 2.15 | 172 | 0.8895 | 0.7261 | 0.8895 | 0.9431 |
| No log | 2.175 | 174 | 0.8195 | 0.7389 | 0.8195 | 0.9053 |
| No log | 2.2 | 176 | 0.8487 | 0.7170 | 0.8487 | 0.9212 |
| No log | 2.225 | 178 | 0.8507 | 0.7273 | 0.8507 | 0.9223 |
| No log | 2.25 | 180 | 0.8477 | 0.7284 | 0.8477 | 0.9207 |
| No log | 2.275 | 182 | 0.8043 | 0.7273 | 0.8043 | 0.8968 |
| No log | 2.3 | 184 | 0.7788 | 0.7483 | 0.7788 | 0.8825 |
| No log | 2.325 | 186 | 0.8071 | 0.7222 | 0.8071 | 0.8984 |
| No log | 2.35 | 188 | 0.8813 | 0.6620 | 0.8813 | 0.9388 |
| No log | 2.375 | 190 | 1.0187 | 0.5634 | 1.0187 | 1.0093 |
| No log | 2.4 | 192 | 1.1852 | 0.5867 | 1.1852 | 1.0887 |
| No log | 2.425 | 194 | 1.4033 | 0.5868 | 1.4033 | 1.1846 |
| No log | 2.45 | 196 | 1.2977 | 0.5848 | 1.2977 | 1.1391 |
| No log | 2.475 | 198 | 1.0145 | 0.6628 | 1.0145 | 1.0072 |
| No log | 2.5 | 200 | 0.9456 | 0.7168 | 0.9456 | 0.9724 |
| No log | 2.525 | 202 | 0.8732 | 0.7283 | 0.8732 | 0.9345 |
| No log | 2.55 | 204 | 0.8525 | 0.7561 | 0.8525 | 0.9233 |
| No log | 2.575 | 206 | 0.8701 | 0.7467 | 0.8701 | 0.9328 |
| No log | 2.6 | 208 | 0.8355 | 0.76 | 0.8355 | 0.9141 |
| No log | 2.625 | 210 | 0.8493 | 0.7114 | 0.8493 | 0.9216 |
| No log | 2.65 | 212 | 0.9017 | 0.6429 | 0.9017 | 0.9496 |
| No log | 2.675 | 214 | 0.8915 | 0.6429 | 0.8915 | 0.9442 |
| No log | 2.7 | 216 | 0.8521 | 0.6761 | 0.8521 | 0.9231 |
| No log | 2.725 | 218 | 0.8141 | 0.7550 | 0.8141 | 0.9023 |
| No log | 2.75 | 220 | 0.7750 | 0.7550 | 0.7750 | 0.8803 |
| No log | 2.775 | 222 | 0.7559 | 0.7632 | 0.7559 | 0.8694 |
| No log | 2.8 | 224 | 0.7862 | 0.7848 | 0.7862 | 0.8867 |
| No log | 2.825 | 226 | 0.8475 | 0.6879 | 0.8475 | 0.9206 |
| No log | 2.85 | 228 | 0.7959 | 0.7613 | 0.7959 | 0.8921 |
| No log | 2.875 | 230 | 0.7949 | 0.7550 | 0.7949 | 0.8916 |
| No log | 2.9 | 232 | 0.8286 | 0.7383 | 0.8286 | 0.9103 |
| No log | 2.925 | 234 | 0.8725 | 0.6901 | 0.8725 | 0.9341 |
| No log | 2.95 | 236 | 0.9172 | 0.6906 | 0.9172 | 0.9577 |
| No log | 2.975 | 238 | 0.8289 | 0.7092 | 0.8289 | 0.9105 |
| No log | 3.0 | 240 | 0.8017 | 0.7432 | 0.8017 | 0.8954 |
| No log | 3.025 | 242 | 0.8266 | 0.6803 | 0.8266 | 0.9092 |
| No log | 3.05 | 244 | 0.8972 | 0.6753 | 0.8972 | 0.9472 |
| No log | 3.075 | 246 | 0.9971 | 0.6494 | 0.9971 | 0.9985 |
| No log | 3.1 | 248 | 0.9468 | 0.6494 | 0.9468 | 0.9730 |
| No log | 3.125 | 250 | 0.9356 | 0.6122 | 0.9356 | 0.9673 |
| No log | 3.15 | 252 | 0.9031 | 0.6154 | 0.9031 | 0.9503 |
| No log | 3.175 | 254 | 0.9975 | 0.6259 | 0.9975 | 0.9988 |
| No log | 3.2 | 256 | 0.9932 | 0.6536 | 0.9932 | 0.9966 |
| No log | 3.225 | 258 | 1.1351 | 0.6341 | 1.1351 | 1.0654 |
| No log | 3.25 | 260 | 1.0735 | 0.6543 | 1.0735 | 1.0361 |
| No log | 3.275 | 262 | 0.8233 | 0.6667 | 0.8233 | 0.9073 |
| No log | 3.3 | 264 | 0.7929 | 0.6667 | 0.7929 | 0.8904 |
| No log | 3.325 | 266 | 0.9247 | 0.6471 | 0.9247 | 0.9616 |
| No log | 3.35 | 268 | 0.9435 | 0.6569 | 0.9435 | 0.9713 |
| No log | 3.375 | 270 | 0.9117 | 0.6667 | 0.9117 | 0.9549 |
| No log | 3.4 | 272 | 0.9693 | 0.5839 | 0.9693 | 0.9845 |
| No log | 3.425 | 274 | 1.0507 | 0.6027 | 1.0507 | 1.0250 |
| No log | 3.45 | 276 | 1.0677 | 0.6 | 1.0677 | 1.0333 |
| No log | 3.475 | 278 | 0.9487 | 0.6395 | 0.9487 | 0.9740 |
| No log | 3.5 | 280 | 0.7764 | 0.7248 | 0.7764 | 0.8812 |
| No log | 3.525 | 282 | 0.7404 | 0.7451 | 0.7404 | 0.8605 |
| No log | 3.55 | 284 | 0.7925 | 0.6713 | 0.7925 | 0.8902 |
| No log | 3.575 | 286 | 0.8120 | 0.6901 | 0.8120 | 0.9011 |
| No log | 3.6 | 288 | 0.8647 | 0.6806 | 0.8647 | 0.9299 |
| No log | 3.625 | 290 | 1.0172 | 0.5634 | 1.0172 | 1.0086 |
| No log | 3.65 | 292 | 1.0216 | 0.5634 | 1.0216 | 1.0107 |
| No log | 3.675 | 294 | 0.9676 | 0.6207 | 0.9676 | 0.9836 |
| No log | 3.7 | 296 | 0.8925 | 0.6849 | 0.8925 | 0.9447 |
| No log | 3.725 | 298 | 0.8458 | 0.7211 | 0.8458 | 0.9197 |
| No log | 3.75 | 300 | 0.8536 | 0.6901 | 0.8536 | 0.9239 |
| No log | 3.775 | 302 | 0.8219 | 0.7083 | 0.8219 | 0.9066 |
| No log | 3.8 | 304 | 0.7983 | 0.7123 | 0.7983 | 0.8935 |
| No log | 3.825 | 306 | 0.7931 | 0.7260 | 0.7931 | 0.8906 |
| No log | 3.85 | 308 | 0.7948 | 0.7260 | 0.7948 | 0.8915 |
| No log | 3.875 | 310 | 0.7998 | 0.7397 | 0.7998 | 0.8943 |
| No log | 3.9 | 312 | 0.8579 | 0.6944 | 0.8579 | 0.9262 |
| No log | 3.925 | 314 | 0.9367 | 0.5970 | 0.9367 | 0.9678 |
| No log | 3.95 | 316 | 0.9902 | 0.5970 | 0.9902 | 0.9951 |
| No log | 3.975 | 318 | 0.9777 | 0.6269 | 0.9777 | 0.9888 |
| No log | 4.0 | 320 | 1.0052 | 0.5649 | 1.0052 | 1.0026 |
| No log | 4.025 | 322 | 1.0205 | 0.6143 | 1.0205 | 1.0102 |
| No log | 4.05 | 324 | 1.1050 | 0.5390 | 1.1050 | 1.0512 |
| No log | 4.075 | 326 | 1.0169 | 0.5634 | 1.0169 | 1.0084 |
| No log | 4.1 | 328 | 0.8861 | 0.6713 | 0.8861 | 0.9414 |
| No log | 4.125 | 330 | 0.8165 | 0.7083 | 0.8165 | 0.9036 |
| No log | 4.15 | 332 | 0.8159 | 0.7092 | 0.8159 | 0.9033 |
| No log | 4.175 | 334 | 0.8362 | 0.6667 | 0.8362 | 0.9144 |
| No log | 4.2 | 336 | 0.8706 | 0.6471 | 0.8706 | 0.9330 |
| No log | 4.225 | 338 | 0.8965 | 0.6222 | 0.8965 | 0.9468 |
| No log | 4.25 | 340 | 0.8950 | 0.6107 | 0.8950 | 0.9460 |
| No log | 4.275 | 342 | 0.8667 | 0.6567 | 0.8667 | 0.9310 |
| No log | 4.3 | 344 | 0.8190 | 0.6619 | 0.8190 | 0.9050 |
| No log | 4.325 | 346 | 0.8080 | 0.7172 | 0.8080 | 0.8989 |
| No log | 4.35 | 348 | 0.8896 | 0.6575 | 0.8896 | 0.9432 |
| No log | 4.375 | 350 | 1.0142 | 0.6267 | 1.0142 | 1.0071 |
| No log | 4.4 | 352 | 1.0543 | 0.6267 | 1.0543 | 1.0268 |
| No log | 4.425 | 354 | 1.0954 | 0.6014 | 1.0954 | 1.0466 |
| No log | 4.45 | 356 | 1.1194 | 0.6014 | 1.1194 | 1.0580 |
| No log | 4.475 | 358 | 1.0567 | 0.6056 | 1.0567 | 1.0280 |
| No log | 4.5 | 360 | 0.9944 | 0.5507 | 0.9944 | 0.9972 |
| No log | 4.525 | 362 | 0.9163 | 0.6 | 0.9163 | 0.9572 |
| No log | 4.55 | 364 | 0.8889 | 0.6338 | 0.8889 | 0.9428 |
| No log | 4.575 | 366 | 0.8539 | 0.7075 | 0.8539 | 0.9240 |
| No log | 4.6 | 368 | 0.8934 | 0.6241 | 0.8934 | 0.9452 |
| No log | 4.625 | 370 | 0.9539 | 0.5588 | 0.9539 | 0.9767 |
| No log | 4.65 | 372 | 0.9663 | 0.5588 | 0.9663 | 0.9830 |
| No log | 4.675 | 374 | 1.0048 | 0.5652 | 1.0048 | 1.0024 |
| No log | 4.7 | 376 | 0.9293 | 0.6 | 0.9293 | 0.9640 |
| No log | 4.725 | 378 | 0.8577 | 0.6338 | 0.8577 | 0.9261 |
| No log | 4.75 | 380 | 0.8087 | 0.7162 | 0.8087 | 0.8993 |
| No log | 4.775 | 382 | 0.7844 | 0.7162 | 0.7844 | 0.8856 |
| No log | 4.8 | 384 | 0.8150 | 0.6906 | 0.8150 | 0.9028 |
| No log | 4.825 | 386 | 0.8587 | 0.6950 | 0.8587 | 0.9267 |
| No log | 4.85 | 388 | 0.9444 | 0.5942 | 0.9444 | 0.9718 |
| No log | 4.875 | 390 | 0.9361 | 0.6029 | 0.9361 | 0.9675 |
| No log | 4.9 | 392 | 0.8468 | 0.6812 | 0.8468 | 0.9202 |
| No log | 4.925 | 394 | 0.7620 | 0.7143 | 0.7620 | 0.8730 |
| No log | 4.95 | 396 | 0.6814 | 0.7518 | 0.6814 | 0.8255 |
| No log | 4.975 | 398 | 0.6196 | 0.75 | 0.6196 | 0.7871 |
| No log | 5.0 | 400 | 0.6141 | 0.7347 | 0.6141 | 0.7836 |
| No log | 5.025 | 402 | 0.6247 | 0.7568 | 0.6247 | 0.7904 |
| No log | 5.05 | 404 | 0.6241 | 0.7347 | 0.6241 | 0.7900 |
| No log | 5.075 | 406 | 0.6340 | 0.7397 | 0.6340 | 0.7963 |
| No log | 5.1 | 408 | 0.6862 | 0.7183 | 0.6862 | 0.8284 |
| No log | 5.125 | 410 | 0.7737 | 0.6809 | 0.7737 | 0.8796 |
| No log | 5.15 | 412 | 0.7937 | 0.6809 | 0.7937 | 0.8909 |
| No log | 5.175 | 414 | 0.7298 | 0.6993 | 0.7298 | 0.8543 |
| No log | 5.2 | 416 | 0.6986 | 0.72 | 0.6986 | 0.8358 |
| No log | 5.225 | 418 | 0.6827 | 0.7582 | 0.6827 | 0.8262 |
| No log | 5.25 | 420 | 0.7397 | 0.7089 | 0.7397 | 0.8600 |
| No log | 5.275 | 422 | 0.7968 | 0.7143 | 0.7968 | 0.8926 |
| No log | 5.3 | 424 | 0.7582 | 0.7215 | 0.7582 | 0.8708 |
| No log | 5.325 | 426 | 0.7276 | 0.7451 | 0.7276 | 0.8530 |
| No log | 5.35 | 428 | 0.7565 | 0.7320 | 0.7565 | 0.8698 |
| No log | 5.375 | 430 | 0.8477 | 0.6667 | 0.8477 | 0.9207 |
| No log | 5.4 | 432 | 0.8976 | 0.6623 | 0.8976 | 0.9474 |
| No log | 5.425 | 434 | 0.8373 | 0.6667 | 0.8373 | 0.9150 |
| No log | 5.45 | 436 | 0.7734 | 0.7143 | 0.7734 | 0.8795 |
| No log | 5.475 | 438 | 0.8057 | 0.6763 | 0.8057 | 0.8976 |
| No log | 5.5 | 440 | 0.8247 | 0.6763 | 0.8247 | 0.9081 |
| No log | 5.525 | 442 | 0.8142 | 0.7050 | 0.8142 | 0.9023 |
| No log | 5.55 | 444 | 0.7879 | 0.7050 | 0.7879 | 0.8876 |
| No log | 5.575 | 446 | 0.7814 | 0.7183 | 0.7814 | 0.8840 |
| No log | 5.6 | 448 | 0.7612 | 0.7143 | 0.7612 | 0.8725 |
| No log | 5.625 | 450 | 0.7442 | 0.7413 | 0.7442 | 0.8627 |
| No log | 5.65 | 452 | 0.7327 | 0.7361 | 0.7327 | 0.8560 |
| No log | 5.675 | 454 | 0.7160 | 0.7397 | 0.7160 | 0.8462 |
| No log | 5.7 | 456 | 0.7147 | 0.7310 | 0.7147 | 0.8454 |
| No log | 5.725 | 458 | 0.7212 | 0.7183 | 0.7212 | 0.8492 |
| No log | 5.75 | 460 | 0.7238 | 0.7183 | 0.7238 | 0.8507 |
| No log | 5.775 | 462 | 0.7612 | 0.7324 | 0.7612 | 0.8725 |
| No log | 5.8 | 464 | 0.8147 | 0.7042 | 0.8147 | 0.9026 |
| No log | 5.825 | 466 | 0.8377 | 0.6761 | 0.8377 | 0.9153 |
| No log | 5.85 | 468 | 0.8231 | 0.6620 | 0.8231 | 0.9072 |
| No log | 5.875 | 470 | 0.7930 | 0.7234 | 0.7930 | 0.8905 |
| No log | 5.9 | 472 | 0.7828 | 0.7222 | 0.7828 | 0.8847 |
| No log | 5.925 | 474 | 0.7825 | 0.7222 | 0.7825 | 0.8846 |
| No log | 5.95 | 476 | 0.7833 | 0.7183 | 0.7833 | 0.8850 |
| No log | 5.975 | 478 | 0.8209 | 0.7172 | 0.8209 | 0.9060 |
| No log | 6.0 | 480 | 0.8755 | 0.6286 | 0.8755 | 0.9357 |
| No log | 6.025 | 482 | 0.8887 | 0.6434 | 0.8887 | 0.9427 |
| No log | 6.05 | 484 | 0.8373 | 0.7042 | 0.8373 | 0.9150 |
| No log | 6.075 | 486 | 0.7986 | 0.7222 | 0.7986 | 0.8936 |
| No log | 6.1 | 488 | 0.7988 | 0.7133 | 0.7988 | 0.8938 |
| No log | 6.125 | 490 | 0.7816 | 0.7222 | 0.7816 | 0.8841 |
| No log | 6.15 | 492 | 0.7427 | 0.7222 | 0.7427 | 0.8618 |
| No log | 6.175 | 494 | 0.7694 | 0.6901 | 0.7694 | 0.8772 |
| No log | 6.2 | 496 | 0.7690 | 0.7034 | 0.7690 | 0.8769 |
| No log | 6.225 | 498 | 0.7383 | 0.7260 | 0.7383 | 0.8592 |
| 0.4175 | 6.25 | 500 | 0.7573 | 0.7133 | 0.7573 | 0.8702 |
| 0.4175 | 6.275 | 502 | 0.8145 | 0.6993 | 0.8145 | 0.9025 |
| 0.4175 | 6.3 | 504 | 0.8662 | 0.6383 | 0.8662 | 0.9307 |
| 0.4175 | 6.325 | 506 | 0.8519 | 0.7042 | 0.8519 | 0.9230 |
| 0.4175 | 6.35 | 508 | 0.8412 | 0.7133 | 0.8412 | 0.9171 |
| 0.4175 | 6.375 | 510 | 0.9950 | 0.5960 | 0.9950 | 0.9975 |
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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization
Base model
aubmindlab/bert-base-arabertv02