Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_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: 0.8116
- Qwk: 0.6542
- Mse: 0.8116
- Rmse: 0.9009
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 | 0.0571 | 2 | 4.8301 | -0.0139 | 4.8301 | 2.1977 |
| No log | 0.1143 | 4 | 3.4755 | 0.0557 | 3.4755 | 1.8643 |
| No log | 0.1714 | 6 | 1.9547 | 0.0903 | 1.9547 | 1.3981 |
| No log | 0.2286 | 8 | 1.7802 | 0.0012 | 1.7802 | 1.3343 |
| No log | 0.2857 | 10 | 1.7813 | -0.0415 | 1.7813 | 1.3347 |
| No log | 0.3429 | 12 | 1.3205 | 0.1558 | 1.3205 | 1.1491 |
| No log | 0.4 | 14 | 1.2643 | 0.1397 | 1.2643 | 1.1244 |
| No log | 0.4571 | 16 | 1.2486 | 0.1838 | 1.2486 | 1.1174 |
| No log | 0.5143 | 18 | 1.3135 | 0.1341 | 1.3135 | 1.1461 |
| No log | 0.5714 | 20 | 1.5843 | 0.0512 | 1.5843 | 1.2587 |
| No log | 0.6286 | 22 | 1.9644 | 0.1145 | 1.9644 | 1.4016 |
| No log | 0.6857 | 24 | 1.8388 | 0.1134 | 1.8388 | 1.3560 |
| No log | 0.7429 | 26 | 1.3855 | 0.1613 | 1.3855 | 1.1771 |
| No log | 0.8 | 28 | 1.1668 | 0.2863 | 1.1668 | 1.0802 |
| No log | 0.8571 | 30 | 1.1128 | 0.3951 | 1.1128 | 1.0549 |
| No log | 0.9143 | 32 | 1.0642 | 0.3158 | 1.0642 | 1.0316 |
| No log | 0.9714 | 34 | 1.0518 | 0.3260 | 1.0518 | 1.0256 |
| No log | 1.0286 | 36 | 1.0338 | 0.3342 | 1.0338 | 1.0168 |
| No log | 1.0857 | 38 | 1.1622 | 0.3109 | 1.1622 | 1.0781 |
| No log | 1.1429 | 40 | 1.5363 | 0.2225 | 1.5363 | 1.2395 |
| No log | 1.2 | 42 | 1.9840 | 0.1969 | 1.9840 | 1.4085 |
| No log | 1.2571 | 44 | 1.6018 | 0.2368 | 1.6018 | 1.2656 |
| No log | 1.3143 | 46 | 1.0869 | 0.3716 | 1.0869 | 1.0425 |
| No log | 1.3714 | 48 | 1.0029 | 0.3903 | 1.0029 | 1.0014 |
| No log | 1.4286 | 50 | 0.9969 | 0.3434 | 0.9969 | 0.9984 |
| No log | 1.4857 | 52 | 1.0069 | 0.3618 | 1.0069 | 1.0035 |
| No log | 1.5429 | 54 | 0.9901 | 0.3618 | 0.9901 | 0.9951 |
| No log | 1.6 | 56 | 0.9612 | 0.3701 | 0.9612 | 0.9804 |
| No log | 1.6571 | 58 | 0.9418 | 0.4229 | 0.9418 | 0.9705 |
| No log | 1.7143 | 60 | 1.0318 | 0.4319 | 1.0318 | 1.0158 |
| No log | 1.7714 | 62 | 1.1839 | 0.3525 | 1.1839 | 1.0881 |
| No log | 1.8286 | 64 | 1.4545 | 0.3231 | 1.4545 | 1.2060 |
| No log | 1.8857 | 66 | 1.7645 | 0.3329 | 1.7645 | 1.3283 |
| No log | 1.9429 | 68 | 1.5304 | 0.3259 | 1.5304 | 1.2371 |
| No log | 2.0 | 70 | 1.1144 | 0.4215 | 1.1144 | 1.0557 |
| No log | 2.0571 | 72 | 0.8173 | 0.5083 | 0.8173 | 0.9040 |
| No log | 2.1143 | 74 | 0.8264 | 0.4342 | 0.8264 | 0.9091 |
| No log | 2.1714 | 76 | 0.9104 | 0.4135 | 0.9104 | 0.9541 |
| No log | 2.2286 | 78 | 0.7911 | 0.4945 | 0.7911 | 0.8894 |
| No log | 2.2857 | 80 | 0.8557 | 0.5591 | 0.8557 | 0.9250 |
| No log | 2.3429 | 82 | 0.8289 | 0.5651 | 0.8289 | 0.9104 |
| No log | 2.4 | 84 | 0.7993 | 0.5390 | 0.7993 | 0.8940 |
| No log | 2.4571 | 86 | 0.7523 | 0.5980 | 0.7523 | 0.8673 |
| No log | 2.5143 | 88 | 0.7797 | 0.6565 | 0.7797 | 0.8830 |
| No log | 2.5714 | 90 | 0.8498 | 0.6094 | 0.8498 | 0.9218 |
| No log | 2.6286 | 92 | 0.7474 | 0.6595 | 0.7474 | 0.8645 |
| No log | 2.6857 | 94 | 0.7802 | 0.6745 | 0.7802 | 0.8833 |
| No log | 2.7429 | 96 | 0.7969 | 0.6910 | 0.7969 | 0.8927 |
| No log | 2.8 | 98 | 0.8034 | 0.6680 | 0.8034 | 0.8963 |
| No log | 2.8571 | 100 | 0.7433 | 0.6851 | 0.7433 | 0.8621 |
| No log | 2.9143 | 102 | 0.7495 | 0.6430 | 0.7495 | 0.8657 |
| No log | 2.9714 | 104 | 0.7427 | 0.6791 | 0.7427 | 0.8618 |
| No log | 3.0286 | 106 | 0.8639 | 0.6236 | 0.8639 | 0.9295 |
| No log | 3.0857 | 108 | 0.9621 | 0.5550 | 0.9621 | 0.9809 |
| No log | 3.1429 | 110 | 0.8497 | 0.5826 | 0.8497 | 0.9218 |
| No log | 3.2 | 112 | 0.7488 | 0.6477 | 0.7488 | 0.8653 |
| No log | 3.2571 | 114 | 0.7292 | 0.6570 | 0.7292 | 0.8539 |
| No log | 3.3143 | 116 | 0.7213 | 0.6736 | 0.7213 | 0.8493 |
| No log | 3.3714 | 118 | 0.6914 | 0.6522 | 0.6914 | 0.8315 |
| No log | 3.4286 | 120 | 0.7076 | 0.6699 | 0.7076 | 0.8412 |
| No log | 3.4857 | 122 | 0.7127 | 0.6608 | 0.7127 | 0.8442 |
| No log | 3.5429 | 124 | 0.7295 | 0.6704 | 0.7295 | 0.8541 |
| No log | 3.6 | 126 | 0.8055 | 0.6690 | 0.8055 | 0.8975 |
| No log | 3.6571 | 128 | 0.7538 | 0.7118 | 0.7538 | 0.8682 |
| No log | 3.7143 | 130 | 0.8400 | 0.6518 | 0.8400 | 0.9165 |
| No log | 3.7714 | 132 | 0.9945 | 0.6286 | 0.9944 | 0.9972 |
| No log | 3.8286 | 134 | 0.8132 | 0.6811 | 0.8132 | 0.9018 |
| No log | 3.8857 | 136 | 0.6831 | 0.7206 | 0.6831 | 0.8265 |
| No log | 3.9429 | 138 | 0.6602 | 0.7015 | 0.6602 | 0.8125 |
| No log | 4.0 | 140 | 0.7395 | 0.6951 | 0.7395 | 0.8599 |
| No log | 4.0571 | 142 | 0.9001 | 0.6188 | 0.9001 | 0.9487 |
| No log | 4.1143 | 144 | 0.8719 | 0.6348 | 0.8719 | 0.9338 |
| No log | 4.1714 | 146 | 0.7081 | 0.6972 | 0.7081 | 0.8415 |
| No log | 4.2286 | 148 | 0.7051 | 0.7054 | 0.7051 | 0.8397 |
| No log | 4.2857 | 150 | 0.6755 | 0.6966 | 0.6755 | 0.8219 |
| No log | 4.3429 | 152 | 0.6308 | 0.7105 | 0.6308 | 0.7942 |
| No log | 4.4 | 154 | 0.7352 | 0.6636 | 0.7352 | 0.8574 |
| No log | 4.4571 | 156 | 0.8099 | 0.6448 | 0.8099 | 0.9000 |
| No log | 4.5143 | 158 | 0.7122 | 0.6636 | 0.7122 | 0.8439 |
| No log | 4.5714 | 160 | 0.6455 | 0.6843 | 0.6455 | 0.8034 |
| No log | 4.6286 | 162 | 0.6263 | 0.7245 | 0.6263 | 0.7914 |
| No log | 4.6857 | 164 | 0.7009 | 0.6926 | 0.7009 | 0.8372 |
| No log | 4.7429 | 166 | 0.7947 | 0.6577 | 0.7947 | 0.8915 |
| No log | 4.8 | 168 | 0.8201 | 0.6379 | 0.8201 | 0.9056 |
| No log | 4.8571 | 170 | 0.7023 | 0.6547 | 0.7023 | 0.8380 |
| No log | 4.9143 | 172 | 0.6705 | 0.6460 | 0.6705 | 0.8188 |
| No log | 4.9714 | 174 | 0.6775 | 0.6740 | 0.6775 | 0.8231 |
| No log | 5.0286 | 176 | 0.6694 | 0.6758 | 0.6694 | 0.8182 |
| No log | 5.0857 | 178 | 0.7257 | 0.6825 | 0.7257 | 0.8519 |
| No log | 5.1429 | 180 | 1.1062 | 0.5257 | 1.1062 | 1.0518 |
| No log | 5.2 | 182 | 1.1936 | 0.5160 | 1.1936 | 1.0925 |
| No log | 5.2571 | 184 | 0.9440 | 0.6344 | 0.9440 | 0.9716 |
| No log | 5.3143 | 186 | 0.7273 | 0.6852 | 0.7273 | 0.8528 |
| No log | 5.3714 | 188 | 0.7048 | 0.7105 | 0.7048 | 0.8395 |
| No log | 5.4286 | 190 | 0.6827 | 0.7206 | 0.6827 | 0.8262 |
| No log | 5.4857 | 192 | 0.6858 | 0.6863 | 0.6858 | 0.8282 |
| No log | 5.5429 | 194 | 0.7571 | 0.6971 | 0.7571 | 0.8701 |
| No log | 5.6 | 196 | 0.6803 | 0.7009 | 0.6803 | 0.8248 |
| No log | 5.6571 | 198 | 0.7350 | 0.6971 | 0.7350 | 0.8573 |
| No log | 5.7143 | 200 | 0.8878 | 0.6759 | 0.8878 | 0.9423 |
| No log | 5.7714 | 202 | 0.8525 | 0.6586 | 0.8525 | 0.9233 |
| No log | 5.8286 | 204 | 0.7487 | 0.6530 | 0.7487 | 0.8653 |
| No log | 5.8857 | 206 | 0.6488 | 0.7076 | 0.6488 | 0.8055 |
| No log | 5.9429 | 208 | 0.6085 | 0.6994 | 0.6085 | 0.7801 |
| No log | 6.0 | 210 | 0.6375 | 0.7042 | 0.6375 | 0.7984 |
| No log | 6.0571 | 212 | 0.7392 | 0.6655 | 0.7392 | 0.8597 |
| No log | 6.1143 | 214 | 0.7819 | 0.6712 | 0.7819 | 0.8842 |
| No log | 6.1714 | 216 | 0.7494 | 0.6990 | 0.7494 | 0.8657 |
| No log | 6.2286 | 218 | 0.6622 | 0.6847 | 0.6622 | 0.8137 |
| No log | 6.2857 | 220 | 0.6383 | 0.6952 | 0.6383 | 0.7989 |
| No log | 6.3429 | 222 | 0.6474 | 0.7015 | 0.6474 | 0.8046 |
| No log | 6.4 | 224 | 0.6356 | 0.7132 | 0.6356 | 0.7973 |
| No log | 6.4571 | 226 | 0.6563 | 0.7113 | 0.6563 | 0.8101 |
| No log | 6.5143 | 228 | 0.6213 | 0.7003 | 0.6213 | 0.7882 |
| No log | 6.5714 | 230 | 0.6230 | 0.6993 | 0.6230 | 0.7893 |
| No log | 6.6286 | 232 | 0.6707 | 0.6958 | 0.6707 | 0.8189 |
| No log | 6.6857 | 234 | 0.8410 | 0.6304 | 0.8410 | 0.9171 |
| No log | 6.7429 | 236 | 0.7864 | 0.6788 | 0.7864 | 0.8868 |
| No log | 6.8 | 238 | 0.6725 | 0.6651 | 0.6725 | 0.8201 |
| No log | 6.8571 | 240 | 0.6736 | 0.6630 | 0.6736 | 0.8207 |
| No log | 6.9143 | 242 | 0.8180 | 0.6534 | 0.8180 | 0.9044 |
| No log | 6.9714 | 244 | 0.9064 | 0.6257 | 0.9064 | 0.9520 |
| No log | 7.0286 | 246 | 0.8212 | 0.6324 | 0.8212 | 0.9062 |
| No log | 7.0857 | 248 | 0.6904 | 0.6641 | 0.6904 | 0.8309 |
| No log | 7.1429 | 250 | 0.6820 | 0.6595 | 0.6820 | 0.8258 |
| No log | 7.2 | 252 | 0.6807 | 0.6564 | 0.6807 | 0.8251 |
| No log | 7.2571 | 254 | 0.7066 | 0.6312 | 0.7066 | 0.8406 |
| No log | 7.3143 | 256 | 0.7081 | 0.6674 | 0.7081 | 0.8415 |
| No log | 7.3714 | 258 | 0.6700 | 0.6701 | 0.6700 | 0.8186 |
| No log | 7.4286 | 260 | 0.6726 | 0.7034 | 0.6726 | 0.8201 |
| No log | 7.4857 | 262 | 0.7003 | 0.6860 | 0.7003 | 0.8368 |
| No log | 7.5429 | 264 | 0.8004 | 0.6495 | 0.8004 | 0.8946 |
| No log | 7.6 | 266 | 1.0405 | 0.5982 | 1.0405 | 1.0200 |
| No log | 7.6571 | 268 | 1.0666 | 0.5777 | 1.0666 | 1.0328 |
| No log | 7.7143 | 270 | 0.8685 | 0.6425 | 0.8685 | 0.9319 |
| No log | 7.7714 | 272 | 0.6737 | 0.6871 | 0.6737 | 0.8208 |
| No log | 7.8286 | 274 | 0.6709 | 0.6826 | 0.6709 | 0.8191 |
| No log | 7.8857 | 276 | 0.7025 | 0.6749 | 0.7025 | 0.8382 |
| No log | 7.9429 | 278 | 0.6827 | 0.7053 | 0.6827 | 0.8263 |
| No log | 8.0 | 280 | 0.7475 | 0.6841 | 0.7475 | 0.8646 |
| No log | 8.0571 | 282 | 0.8746 | 0.6587 | 0.8746 | 0.9352 |
| No log | 8.1143 | 284 | 0.7985 | 0.6658 | 0.7985 | 0.8936 |
| No log | 8.1714 | 286 | 0.6629 | 0.6942 | 0.6629 | 0.8142 |
| No log | 8.2286 | 288 | 0.6400 | 0.6700 | 0.6400 | 0.8000 |
| No log | 8.2857 | 290 | 0.6417 | 0.6689 | 0.6417 | 0.8011 |
| No log | 8.3429 | 292 | 0.6454 | 0.7196 | 0.6454 | 0.8034 |
| No log | 8.4 | 294 | 0.8452 | 0.6349 | 0.8452 | 0.9193 |
| No log | 8.4571 | 296 | 1.0301 | 0.5867 | 1.0301 | 1.0149 |
| No log | 8.5143 | 298 | 0.9487 | 0.6123 | 0.9487 | 0.9740 |
| No log | 8.5714 | 300 | 0.7453 | 0.6795 | 0.7453 | 0.8633 |
| No log | 8.6286 | 302 | 0.6595 | 0.7259 | 0.6595 | 0.8121 |
| No log | 8.6857 | 304 | 0.6642 | 0.7183 | 0.6642 | 0.8150 |
| No log | 8.7429 | 306 | 0.7183 | 0.7193 | 0.7183 | 0.8475 |
| No log | 8.8 | 308 | 0.8504 | 0.6546 | 0.8504 | 0.9222 |
| No log | 8.8571 | 310 | 0.8367 | 0.6546 | 0.8367 | 0.9147 |
| No log | 8.9143 | 312 | 0.7985 | 0.6610 | 0.7985 | 0.8936 |
| No log | 8.9714 | 314 | 0.6772 | 0.7023 | 0.6772 | 0.8229 |
| No log | 9.0286 | 316 | 0.5933 | 0.7196 | 0.5933 | 0.7703 |
| No log | 9.0857 | 318 | 0.5790 | 0.7053 | 0.5790 | 0.7609 |
| No log | 9.1429 | 320 | 0.5990 | 0.7293 | 0.5990 | 0.7740 |
| No log | 9.2 | 322 | 0.6239 | 0.6830 | 0.6239 | 0.7899 |
| No log | 9.2571 | 324 | 0.6174 | 0.6893 | 0.6174 | 0.7857 |
| No log | 9.3143 | 326 | 0.5910 | 0.7034 | 0.5910 | 0.7688 |
| No log | 9.3714 | 328 | 0.6374 | 0.6919 | 0.6374 | 0.7984 |
| No log | 9.4286 | 330 | 0.6819 | 0.6642 | 0.6819 | 0.8258 |
| No log | 9.4857 | 332 | 0.6000 | 0.7215 | 0.6000 | 0.7746 |
| No log | 9.5429 | 334 | 0.6715 | 0.7018 | 0.6715 | 0.8194 |
| No log | 9.6 | 336 | 0.8892 | 0.6180 | 0.8892 | 0.9430 |
| No log | 9.6571 | 338 | 1.0110 | 0.5788 | 1.0110 | 1.0055 |
| No log | 9.7143 | 340 | 0.9714 | 0.5763 | 0.9714 | 0.9856 |
| No log | 9.7714 | 342 | 0.8665 | 0.5985 | 0.8665 | 0.9308 |
| No log | 9.8286 | 344 | 0.9075 | 0.5801 | 0.9075 | 0.9526 |
| No log | 9.8857 | 346 | 1.0438 | 0.5838 | 1.0438 | 1.0217 |
| No log | 9.9429 | 348 | 1.0561 | 0.5949 | 1.0561 | 1.0277 |
| No log | 10.0 | 350 | 1.0550 | 0.5879 | 1.0550 | 1.0271 |
| No log | 10.0571 | 352 | 0.9804 | 0.5982 | 0.9804 | 0.9901 |
| No log | 10.1143 | 354 | 0.8249 | 0.6601 | 0.8249 | 0.9082 |
| No log | 10.1714 | 356 | 0.7217 | 0.7160 | 0.7217 | 0.8495 |
| No log | 10.2286 | 358 | 0.7092 | 0.7338 | 0.7092 | 0.8421 |
| No log | 10.2857 | 360 | 0.7646 | 0.7300 | 0.7646 | 0.8744 |
| No log | 10.3429 | 362 | 0.8642 | 0.6544 | 0.8642 | 0.9296 |
| No log | 10.4 | 364 | 1.1553 | 0.6075 | 1.1553 | 1.0749 |
| No log | 10.4571 | 366 | 1.2836 | 0.5888 | 1.2836 | 1.1330 |
| No log | 10.5143 | 368 | 1.0709 | 0.6084 | 1.0709 | 1.0349 |
| No log | 10.5714 | 370 | 0.7992 | 0.7146 | 0.7992 | 0.8940 |
| No log | 10.6286 | 372 | 0.6880 | 0.7421 | 0.6880 | 0.8294 |
| No log | 10.6857 | 374 | 0.6724 | 0.7416 | 0.6724 | 0.8200 |
| No log | 10.7429 | 376 | 0.7194 | 0.7411 | 0.7194 | 0.8482 |
| No log | 10.8 | 378 | 0.9553 | 0.6076 | 0.9553 | 0.9774 |
| No log | 10.8571 | 380 | 1.0846 | 0.5576 | 1.0846 | 1.0414 |
| No log | 10.9143 | 382 | 1.0100 | 0.5926 | 1.0100 | 1.0050 |
| No log | 10.9714 | 384 | 0.7840 | 0.6399 | 0.7840 | 0.8854 |
| No log | 11.0286 | 386 | 0.6650 | 0.7253 | 0.6650 | 0.8154 |
| No log | 11.0857 | 388 | 0.6463 | 0.7414 | 0.6463 | 0.8039 |
| No log | 11.1429 | 390 | 0.6626 | 0.7470 | 0.6626 | 0.8140 |
| No log | 11.2 | 392 | 0.7289 | 0.6791 | 0.7289 | 0.8538 |
| No log | 11.2571 | 394 | 0.9057 | 0.5991 | 0.9057 | 0.9517 |
| No log | 11.3143 | 396 | 1.0542 | 0.5799 | 1.0542 | 1.0267 |
| No log | 11.3714 | 398 | 0.9802 | 0.5868 | 0.9802 | 0.9901 |
| No log | 11.4286 | 400 | 0.7504 | 0.6617 | 0.7504 | 0.8663 |
| No log | 11.4857 | 402 | 0.6263 | 0.6869 | 0.6263 | 0.7914 |
| No log | 11.5429 | 404 | 0.6129 | 0.7022 | 0.6129 | 0.7829 |
| No log | 11.6 | 406 | 0.6488 | 0.6581 | 0.6488 | 0.8055 |
| No log | 11.6571 | 408 | 0.6942 | 0.6834 | 0.6942 | 0.8332 |
| No log | 11.7143 | 410 | 0.6626 | 0.6665 | 0.6626 | 0.8140 |
| No log | 11.7714 | 412 | 0.5985 | 0.7217 | 0.5985 | 0.7737 |
| No log | 11.8286 | 414 | 0.5931 | 0.7002 | 0.5931 | 0.7701 |
| No log | 11.8857 | 416 | 0.6042 | 0.6961 | 0.6042 | 0.7773 |
| No log | 11.9429 | 418 | 0.6289 | 0.6916 | 0.6289 | 0.7930 |
| No log | 12.0 | 420 | 0.6676 | 0.6947 | 0.6676 | 0.8170 |
| No log | 12.0571 | 422 | 0.7116 | 0.6666 | 0.7116 | 0.8435 |
| No log | 12.1143 | 424 | 0.7618 | 0.6461 | 0.7618 | 0.8728 |
| No log | 12.1714 | 426 | 0.7217 | 0.6767 | 0.7217 | 0.8495 |
| No log | 12.2286 | 428 | 0.6289 | 0.7391 | 0.6289 | 0.7930 |
| No log | 12.2857 | 430 | 0.6071 | 0.7494 | 0.6071 | 0.7792 |
| No log | 12.3429 | 432 | 0.6084 | 0.7355 | 0.6084 | 0.7800 |
| No log | 12.4 | 434 | 0.6301 | 0.7237 | 0.6301 | 0.7938 |
| No log | 12.4571 | 436 | 0.6936 | 0.6958 | 0.6936 | 0.8328 |
| No log | 12.5143 | 438 | 0.7948 | 0.6173 | 0.7948 | 0.8915 |
| No log | 12.5714 | 440 | 0.8495 | 0.6216 | 0.8495 | 0.9217 |
| No log | 12.6286 | 442 | 0.8352 | 0.6392 | 0.8352 | 0.9139 |
| No log | 12.6857 | 444 | 0.7069 | 0.6713 | 0.7069 | 0.8408 |
| No log | 12.7429 | 446 | 0.6868 | 0.6665 | 0.6868 | 0.8287 |
| No log | 12.8 | 448 | 0.7151 | 0.6656 | 0.7151 | 0.8456 |
| No log | 12.8571 | 450 | 0.6995 | 0.6785 | 0.6995 | 0.8363 |
| No log | 12.9143 | 452 | 0.6578 | 0.6974 | 0.6578 | 0.8111 |
| No log | 12.9714 | 454 | 0.6883 | 0.7006 | 0.6883 | 0.8296 |
| No log | 13.0286 | 456 | 0.7646 | 0.6414 | 0.7646 | 0.8744 |
| No log | 13.0857 | 458 | 0.8025 | 0.6315 | 0.8025 | 0.8958 |
| No log | 13.1429 | 460 | 0.9974 | 0.6023 | 0.9974 | 0.9987 |
| No log | 13.2 | 462 | 1.0335 | 0.6031 | 1.0335 | 1.0166 |
| No log | 13.2571 | 464 | 0.9294 | 0.6023 | 0.9294 | 0.9641 |
| No log | 13.3143 | 466 | 0.7351 | 0.6773 | 0.7351 | 0.8574 |
| No log | 13.3714 | 468 | 0.6300 | 0.7269 | 0.6300 | 0.7937 |
| No log | 13.4286 | 470 | 0.6144 | 0.7459 | 0.6144 | 0.7838 |
| No log | 13.4857 | 472 | 0.6473 | 0.7340 | 0.6473 | 0.8046 |
| No log | 13.5429 | 474 | 0.7348 | 0.7020 | 0.7348 | 0.8572 |
| No log | 13.6 | 476 | 0.7177 | 0.7041 | 0.7177 | 0.8472 |
| No log | 13.6571 | 478 | 0.6397 | 0.7373 | 0.6397 | 0.7998 |
| No log | 13.7143 | 480 | 0.6154 | 0.7269 | 0.6154 | 0.7845 |
| No log | 13.7714 | 482 | 0.6101 | 0.7068 | 0.6101 | 0.7811 |
| No log | 13.8286 | 484 | 0.6104 | 0.7113 | 0.6104 | 0.7813 |
| No log | 13.8857 | 486 | 0.6444 | 0.7230 | 0.6444 | 0.8027 |
| No log | 13.9429 | 488 | 0.6945 | 0.7498 | 0.6945 | 0.8334 |
| No log | 14.0 | 490 | 0.7431 | 0.7213 | 0.7431 | 0.8620 |
| No log | 14.0571 | 492 | 0.7322 | 0.7461 | 0.7322 | 0.8557 |
| No log | 14.1143 | 494 | 0.7281 | 0.7333 | 0.7281 | 0.8533 |
| No log | 14.1714 | 496 | 0.7668 | 0.6629 | 0.7668 | 0.8757 |
| No log | 14.2286 | 498 | 0.7195 | 0.6928 | 0.7195 | 0.8482 |
| 0.4271 | 14.2857 | 500 | 0.7281 | 0.6655 | 0.7281 | 0.8533 |
| 0.4271 | 14.3429 | 502 | 0.7123 | 0.6856 | 0.7123 | 0.8440 |
| 0.4271 | 14.4 | 504 | 0.6463 | 0.6727 | 0.6463 | 0.8039 |
| 0.4271 | 14.4571 | 506 | 0.6245 | 0.6902 | 0.6245 | 0.7902 |
| 0.4271 | 14.5143 | 508 | 0.6548 | 0.7051 | 0.6548 | 0.8092 |
| 0.4271 | 14.5714 | 510 | 0.7349 | 0.6723 | 0.7349 | 0.8573 |
| 0.4271 | 14.6286 | 512 | 0.7369 | 0.6896 | 0.7369 | 0.8584 |
| 0.4271 | 14.6857 | 514 | 0.7155 | 0.7067 | 0.7155 | 0.8459 |
| 0.4271 | 14.7429 | 516 | 0.7064 | 0.7002 | 0.7064 | 0.8405 |
| 0.4271 | 14.8 | 518 | 0.7446 | 0.6877 | 0.7446 | 0.8629 |
| 0.4271 | 14.8571 | 520 | 0.8687 | 0.6235 | 0.8687 | 0.9320 |
| 0.4271 | 14.9143 | 522 | 1.0104 | 0.5849 | 1.0104 | 1.0052 |
| 0.4271 | 14.9714 | 524 | 0.9634 | 0.5983 | 0.9634 | 0.9815 |
| 0.4271 | 15.0286 | 526 | 0.8250 | 0.6552 | 0.8250 | 0.9083 |
| 0.4271 | 15.0857 | 528 | 0.6603 | 0.6760 | 0.6603 | 0.8126 |
| 0.4271 | 15.1429 | 530 | 0.6177 | 0.6915 | 0.6177 | 0.7859 |
| 0.4271 | 15.2 | 532 | 0.5955 | 0.7012 | 0.5955 | 0.7717 |
| 0.4271 | 15.2571 | 534 | 0.5926 | 0.6919 | 0.5926 | 0.7698 |
| 0.4271 | 15.3143 | 536 | 0.5882 | 0.6977 | 0.5882 | 0.7670 |
| 0.4271 | 15.3714 | 538 | 0.6306 | 0.6904 | 0.6306 | 0.7941 |
| 0.4271 | 15.4286 | 540 | 0.7249 | 0.7198 | 0.7249 | 0.8514 |
| 0.4271 | 15.4857 | 542 | 0.8072 | 0.6378 | 0.8072 | 0.8984 |
| 0.4271 | 15.5429 | 544 | 0.7721 | 0.6535 | 0.7721 | 0.8787 |
| 0.4271 | 15.6 | 546 | 0.6770 | 0.7415 | 0.6770 | 0.8228 |
| 0.4271 | 15.6571 | 548 | 0.6223 | 0.7102 | 0.6223 | 0.7889 |
| 0.4271 | 15.7143 | 550 | 0.6337 | 0.7231 | 0.6337 | 0.7960 |
| 0.4271 | 15.7714 | 552 | 0.6394 | 0.7438 | 0.6394 | 0.7997 |
| 0.4271 | 15.8286 | 554 | 0.7297 | 0.6979 | 0.7297 | 0.8542 |
| 0.4271 | 15.8857 | 556 | 0.8968 | 0.6815 | 0.8968 | 0.9470 |
| 0.4271 | 15.9429 | 558 | 0.9812 | 0.6469 | 0.9812 | 0.9906 |
| 0.4271 | 16.0 | 560 | 0.8834 | 0.6785 | 0.8834 | 0.9399 |
| 0.4271 | 16.0571 | 562 | 0.7555 | 0.7161 | 0.7555 | 0.8692 |
| 0.4271 | 16.1143 | 564 | 0.7052 | 0.7053 | 0.7052 | 0.8397 |
| 0.4271 | 16.1714 | 566 | 0.7340 | 0.6886 | 0.7340 | 0.8567 |
| 0.4271 | 16.2286 | 568 | 0.8057 | 0.6667 | 0.8057 | 0.8976 |
| 0.4271 | 16.2857 | 570 | 0.8040 | 0.6780 | 0.8040 | 0.8966 |
| 0.4271 | 16.3429 | 572 | 0.7244 | 0.7272 | 0.7244 | 0.8511 |
| 0.4271 | 16.4 | 574 | 0.6203 | 0.7422 | 0.6203 | 0.7876 |
| 0.4271 | 16.4571 | 576 | 0.6021 | 0.7135 | 0.6021 | 0.7760 |
| 0.4271 | 16.5143 | 578 | 0.6215 | 0.7137 | 0.6215 | 0.7883 |
| 0.4271 | 16.5714 | 580 | 0.6222 | 0.7004 | 0.6222 | 0.7888 |
| 0.4271 | 16.6286 | 582 | 0.5968 | 0.7135 | 0.5968 | 0.7725 |
| 0.4271 | 16.6857 | 584 | 0.6055 | 0.7316 | 0.6055 | 0.7781 |
| 0.4271 | 16.7429 | 586 | 0.6504 | 0.7470 | 0.6504 | 0.8065 |
| 0.4271 | 16.8 | 588 | 0.6662 | 0.7315 | 0.6662 | 0.8162 |
| 0.4271 | 16.8571 | 590 | 0.6639 | 0.7278 | 0.6639 | 0.8148 |
| 0.4271 | 16.9143 | 592 | 0.6190 | 0.7511 | 0.6190 | 0.7868 |
| 0.4271 | 16.9714 | 594 | 0.5915 | 0.7485 | 0.5915 | 0.7691 |
| 0.4271 | 17.0286 | 596 | 0.5766 | 0.7356 | 0.5766 | 0.7593 |
| 0.4271 | 17.0857 | 598 | 0.5866 | 0.7300 | 0.5866 | 0.7659 |
| 0.4271 | 17.1429 | 600 | 0.6419 | 0.7159 | 0.6419 | 0.8012 |
| 0.4271 | 17.2 | 602 | 0.8159 | 0.6317 | 0.8159 | 0.9033 |
| 0.4271 | 17.2571 | 604 | 0.9227 | 0.6215 | 0.9227 | 0.9606 |
| 0.4271 | 17.3143 | 606 | 0.8521 | 0.6258 | 0.8521 | 0.9231 |
| 0.4271 | 17.3714 | 608 | 0.7038 | 0.7006 | 0.7038 | 0.8389 |
| 0.4271 | 17.4286 | 610 | 0.6186 | 0.7323 | 0.6186 | 0.7865 |
| 0.4271 | 17.4857 | 612 | 0.6048 | 0.7202 | 0.6048 | 0.7777 |
| 0.4271 | 17.5429 | 614 | 0.6098 | 0.7377 | 0.6098 | 0.7809 |
| 0.4271 | 17.6 | 616 | 0.6798 | 0.7490 | 0.6798 | 0.8245 |
| 0.4271 | 17.6571 | 618 | 0.8164 | 0.6509 | 0.8164 | 0.9036 |
| 0.4271 | 17.7143 | 620 | 0.8772 | 0.6496 | 0.8772 | 0.9366 |
| 0.4271 | 17.7714 | 622 | 0.9485 | 0.6204 | 0.9485 | 0.9739 |
| 0.4271 | 17.8286 | 624 | 0.9022 | 0.6337 | 0.9022 | 0.9498 |
| 0.4271 | 17.8857 | 626 | 0.8116 | 0.6542 | 0.8116 | 0.9009 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task1_organization
Base model
aubmindlab/bert-base-arabertv02