Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_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: 0.5854
- Qwk: 0.3617
- Mse: 0.5854
- Rmse: 0.7651
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0357 | 2 | 3.2888 | -0.0149 | 3.2888 | 1.8135 |
| No log | 0.0714 | 4 | 1.8450 | -0.0070 | 1.8450 | 1.3583 |
| No log | 0.1071 | 6 | 1.5939 | 0.0210 | 1.5939 | 1.2625 |
| No log | 0.1429 | 8 | 0.7923 | 0.2000 | 0.7923 | 0.8901 |
| No log | 0.1786 | 10 | 0.5749 | 0.0909 | 0.5749 | 0.7582 |
| No log | 0.2143 | 12 | 0.6012 | 0.1467 | 0.6012 | 0.7754 |
| No log | 0.25 | 14 | 0.5842 | 0.1373 | 0.5842 | 0.7644 |
| No log | 0.2857 | 16 | 1.1569 | 0.1333 | 1.1569 | 1.0756 |
| No log | 0.3214 | 18 | 1.1258 | 0.0843 | 1.1258 | 1.0610 |
| No log | 0.3571 | 20 | 0.6037 | 0.1000 | 0.6037 | 0.7770 |
| No log | 0.3929 | 22 | 0.6007 | 0.1258 | 0.6007 | 0.7751 |
| No log | 0.4286 | 24 | 0.6112 | 0.1795 | 0.6112 | 0.7818 |
| No log | 0.4643 | 26 | 0.7182 | 0.2090 | 0.7182 | 0.8475 |
| No log | 0.5 | 28 | 0.7360 | 0.1230 | 0.7360 | 0.8579 |
| No log | 0.5357 | 30 | 0.7944 | 0.2222 | 0.7944 | 0.8913 |
| No log | 0.5714 | 32 | 0.8344 | 0.2566 | 0.8344 | 0.9135 |
| No log | 0.6071 | 34 | 0.8519 | 0.1610 | 0.8519 | 0.9230 |
| No log | 0.6429 | 36 | 1.0615 | 0.0988 | 1.0615 | 1.0303 |
| No log | 0.6786 | 38 | 0.8244 | 0.1691 | 0.8244 | 0.9080 |
| No log | 0.7143 | 40 | 0.8246 | 0.2432 | 0.8246 | 0.9081 |
| No log | 0.75 | 42 | 0.7661 | 0.2487 | 0.7661 | 0.8753 |
| No log | 0.7857 | 44 | 0.8844 | 0.0741 | 0.8844 | 0.9404 |
| No log | 0.8214 | 46 | 0.9413 | 0.0476 | 0.9413 | 0.9702 |
| No log | 0.8571 | 48 | 0.7364 | 0.2083 | 0.7364 | 0.8582 |
| No log | 0.8929 | 50 | 0.7090 | 0.2577 | 0.7090 | 0.8420 |
| No log | 0.9286 | 52 | 0.8989 | 0.1238 | 0.8989 | 0.9481 |
| No log | 0.9643 | 54 | 0.9604 | 0.0690 | 0.9604 | 0.9800 |
| No log | 1.0 | 56 | 0.6274 | 0.1732 | 0.6274 | 0.7921 |
| No log | 1.0357 | 58 | 0.6004 | 0.2090 | 0.6004 | 0.7749 |
| No log | 1.0714 | 60 | 0.8143 | 0.1919 | 0.8143 | 0.9024 |
| No log | 1.1071 | 62 | 1.8329 | 0.1330 | 1.8329 | 1.3538 |
| No log | 1.1429 | 64 | 1.2535 | 0.1560 | 1.2535 | 1.1196 |
| No log | 1.1786 | 66 | 0.6254 | 0.3023 | 0.6254 | 0.7908 |
| No log | 1.2143 | 68 | 0.6792 | 0.2626 | 0.6792 | 0.8242 |
| No log | 1.25 | 70 | 1.0951 | 0.1579 | 1.0951 | 1.0465 |
| No log | 1.2857 | 72 | 0.8760 | 0.1429 | 0.8760 | 0.9360 |
| No log | 1.3214 | 74 | 0.6384 | 0.1568 | 0.6384 | 0.7990 |
| No log | 1.3571 | 76 | 0.6463 | 0.3231 | 0.6463 | 0.8039 |
| No log | 1.3929 | 78 | 1.6425 | 0.1076 | 1.6425 | 1.2816 |
| No log | 1.4286 | 80 | 2.0203 | 0.1111 | 2.0203 | 1.4214 |
| No log | 1.4643 | 82 | 0.9186 | 0.2653 | 0.9186 | 0.9585 |
| No log | 1.5 | 84 | 1.2062 | 0.1506 | 1.2062 | 1.0983 |
| No log | 1.5357 | 86 | 2.2607 | 0.0948 | 2.2607 | 1.5036 |
| No log | 1.5714 | 88 | 1.8763 | 0.1674 | 1.8763 | 1.3698 |
| No log | 1.6071 | 90 | 0.9151 | 0.1579 | 0.9151 | 0.9566 |
| No log | 1.6429 | 92 | 0.5943 | 0.3797 | 0.5943 | 0.7709 |
| No log | 1.6786 | 94 | 0.9603 | 0.1506 | 0.9603 | 0.9799 |
| No log | 1.7143 | 96 | 0.6973 | 0.2153 | 0.6973 | 0.8351 |
| No log | 1.75 | 98 | 0.6240 | 0.1527 | 0.6240 | 0.7900 |
| No log | 1.7857 | 100 | 1.1266 | 0.0698 | 1.1266 | 1.0614 |
| No log | 1.8214 | 102 | 1.1302 | 0.0698 | 1.1302 | 1.0631 |
| No log | 1.8571 | 104 | 0.8008 | 0.1453 | 0.8008 | 0.8949 |
| No log | 1.8929 | 106 | 0.5161 | 0.2329 | 0.5161 | 0.7184 |
| No log | 1.9286 | 108 | 0.6128 | 0.2000 | 0.6128 | 0.7828 |
| No log | 1.9643 | 110 | 0.7487 | 0.2000 | 0.7487 | 0.8653 |
| No log | 2.0 | 112 | 0.6875 | 0.2670 | 0.6875 | 0.8292 |
| No log | 2.0357 | 114 | 0.6023 | 0.4404 | 0.6023 | 0.7761 |
| No log | 2.0714 | 116 | 0.5970 | 0.3118 | 0.5970 | 0.7726 |
| No log | 2.1071 | 118 | 0.7405 | 0.3619 | 0.7405 | 0.8605 |
| No log | 2.1429 | 120 | 1.1833 | 0.2802 | 1.1833 | 1.0878 |
| No log | 2.1786 | 122 | 0.8741 | 0.3509 | 0.8741 | 0.9349 |
| No log | 2.2143 | 124 | 0.9328 | 0.2581 | 0.9328 | 0.9658 |
| No log | 2.25 | 126 | 0.9364 | 0.2581 | 0.9364 | 0.9677 |
| No log | 2.2857 | 128 | 0.7070 | 0.2161 | 0.7070 | 0.8408 |
| No log | 2.3214 | 130 | 0.7451 | 0.2871 | 0.7451 | 0.8632 |
| No log | 2.3571 | 132 | 0.6637 | 0.2746 | 0.6637 | 0.8147 |
| No log | 2.3929 | 134 | 0.7222 | 0.1923 | 0.7222 | 0.8498 |
| No log | 2.4286 | 136 | 0.6514 | 0.2965 | 0.6514 | 0.8071 |
| No log | 2.4643 | 138 | 0.8178 | 0.3303 | 0.8178 | 0.9043 |
| No log | 2.5 | 140 | 1.0415 | 0.3566 | 1.0415 | 1.0205 |
| No log | 2.5357 | 142 | 0.7713 | 0.2593 | 0.7713 | 0.8782 |
| No log | 2.5714 | 144 | 0.6268 | 0.2821 | 0.6268 | 0.7917 |
| No log | 2.6071 | 146 | 0.6082 | 0.3778 | 0.6082 | 0.7799 |
| No log | 2.6429 | 148 | 0.6743 | 0.2000 | 0.6743 | 0.8211 |
| No log | 2.6786 | 150 | 1.1056 | 0.1355 | 1.1056 | 1.0515 |
| No log | 2.7143 | 152 | 0.8833 | 0.1549 | 0.8833 | 0.9399 |
| No log | 2.75 | 154 | 0.5768 | 0.2000 | 0.5768 | 0.7595 |
| No log | 2.7857 | 156 | 0.8028 | 0.1925 | 0.8028 | 0.8960 |
| No log | 2.8214 | 158 | 0.9223 | 0.1333 | 0.9223 | 0.9604 |
| No log | 2.8571 | 160 | 0.7341 | 0.2077 | 0.7341 | 0.8568 |
| No log | 2.8929 | 162 | 0.5588 | 0.2533 | 0.5588 | 0.7475 |
| No log | 2.9286 | 164 | 0.8423 | 0.1923 | 0.8423 | 0.9178 |
| No log | 2.9643 | 166 | 0.8431 | 0.1921 | 0.8431 | 0.9182 |
| No log | 3.0 | 168 | 0.6579 | 0.3263 | 0.6579 | 0.8111 |
| No log | 3.0357 | 170 | 0.6133 | 0.4105 | 0.6133 | 0.7831 |
| No log | 3.0714 | 172 | 0.6153 | 0.3769 | 0.6153 | 0.7844 |
| No log | 3.1071 | 174 | 0.7683 | 0.3831 | 0.7683 | 0.8765 |
| No log | 3.1429 | 176 | 1.1209 | 0.2152 | 1.1209 | 1.0587 |
| No log | 3.1786 | 178 | 1.0304 | 0.2060 | 1.0304 | 1.0151 |
| No log | 3.2143 | 180 | 0.7233 | 0.3333 | 0.7233 | 0.8505 |
| No log | 3.25 | 182 | 0.6168 | 0.3333 | 0.6168 | 0.7853 |
| No log | 3.2857 | 184 | 0.7075 | 0.3035 | 0.7075 | 0.8411 |
| No log | 3.3214 | 186 | 0.7605 | 0.3077 | 0.7605 | 0.8721 |
| No log | 3.3571 | 188 | 0.5999 | 0.3333 | 0.5999 | 0.7745 |
| No log | 3.3929 | 190 | 0.6451 | 0.2245 | 0.6451 | 0.8032 |
| No log | 3.4286 | 192 | 0.6042 | 0.3089 | 0.6042 | 0.7773 |
| No log | 3.4643 | 194 | 0.5838 | 0.2893 | 0.5838 | 0.7641 |
| No log | 3.5 | 196 | 0.7634 | 0.2563 | 0.7634 | 0.8737 |
| No log | 3.5357 | 198 | 0.6669 | 0.3398 | 0.6669 | 0.8167 |
| No log | 3.5714 | 200 | 0.6219 | 0.3143 | 0.6219 | 0.7886 |
| No log | 3.6071 | 202 | 0.7525 | 0.2727 | 0.7525 | 0.8674 |
| No log | 3.6429 | 204 | 0.6333 | 0.3052 | 0.6333 | 0.7958 |
| No log | 3.6786 | 206 | 0.6544 | 0.3131 | 0.6544 | 0.8089 |
| No log | 3.7143 | 208 | 1.0855 | 0.2439 | 1.0855 | 1.0419 |
| No log | 3.75 | 210 | 1.0467 | 0.2394 | 1.0467 | 1.0231 |
| No log | 3.7857 | 212 | 0.6383 | 0.2842 | 0.6383 | 0.7990 |
| No log | 3.8214 | 214 | 0.5609 | 0.4450 | 0.5609 | 0.7489 |
| No log | 3.8571 | 216 | 0.5622 | 0.4450 | 0.5622 | 0.7498 |
| No log | 3.8929 | 218 | 0.5457 | 0.4091 | 0.5457 | 0.7387 |
| No log | 3.9286 | 220 | 0.7809 | 0.2233 | 0.7809 | 0.8837 |
| No log | 3.9643 | 222 | 1.1951 | 0.1529 | 1.1951 | 1.0932 |
| No log | 4.0 | 224 | 1.0971 | 0.2053 | 1.0971 | 1.0474 |
| No log | 4.0357 | 226 | 0.6922 | 0.2174 | 0.6922 | 0.8320 |
| No log | 4.0714 | 228 | 0.6220 | 0.3617 | 0.6220 | 0.7887 |
| No log | 4.1071 | 230 | 0.6953 | 0.2554 | 0.6953 | 0.8339 |
| No log | 4.1429 | 232 | 0.6139 | 0.3043 | 0.6139 | 0.7835 |
| No log | 4.1786 | 234 | 0.7415 | 0.2893 | 0.7415 | 0.8611 |
| No log | 4.2143 | 236 | 0.9665 | 0.1765 | 0.9665 | 0.9831 |
| No log | 4.25 | 238 | 0.8370 | 0.2442 | 0.8370 | 0.9149 |
| No log | 4.2857 | 240 | 0.6689 | 0.4033 | 0.6689 | 0.8179 |
| No log | 4.3214 | 242 | 0.6430 | 0.3161 | 0.6430 | 0.8019 |
| No log | 4.3571 | 244 | 0.7410 | 0.2308 | 0.7410 | 0.8608 |
| No log | 4.3929 | 246 | 0.7837 | 0.2727 | 0.7837 | 0.8853 |
| No log | 4.4286 | 248 | 0.7765 | 0.2727 | 0.7765 | 0.8812 |
| No log | 4.4643 | 250 | 0.6977 | 0.2709 | 0.6977 | 0.8353 |
| No log | 4.5 | 252 | 0.7274 | 0.2381 | 0.7274 | 0.8529 |
| No log | 4.5357 | 254 | 0.6748 | 0.2709 | 0.6748 | 0.8214 |
| No log | 4.5714 | 256 | 0.6724 | 0.2709 | 0.6724 | 0.8200 |
| No log | 4.6071 | 258 | 0.6873 | 0.2709 | 0.6873 | 0.8290 |
| No log | 4.6429 | 260 | 0.6548 | 0.2157 | 0.6548 | 0.8092 |
| No log | 4.6786 | 262 | 0.7175 | 0.2308 | 0.7175 | 0.8470 |
| No log | 4.7143 | 264 | 0.7465 | 0.2300 | 0.7465 | 0.8640 |
| No log | 4.75 | 266 | 0.6457 | 0.2157 | 0.6457 | 0.8035 |
| No log | 4.7857 | 268 | 0.5953 | 0.3224 | 0.5953 | 0.7715 |
| No log | 4.8214 | 270 | 0.6021 | 0.3182 | 0.6021 | 0.7760 |
| No log | 4.8571 | 272 | 0.5934 | 0.2809 | 0.5934 | 0.7703 |
| No log | 4.8929 | 274 | 0.6069 | 0.2083 | 0.6069 | 0.7791 |
| No log | 4.9286 | 276 | 0.6237 | 0.2083 | 0.6237 | 0.7897 |
| No log | 4.9643 | 278 | 0.6299 | 0.2165 | 0.6299 | 0.7936 |
| No log | 5.0 | 280 | 0.6666 | 0.2637 | 0.6666 | 0.8164 |
| No log | 5.0357 | 282 | 0.7292 | 0.2566 | 0.7292 | 0.8539 |
| No log | 5.0714 | 284 | 0.7017 | 0.2963 | 0.7017 | 0.8377 |
| No log | 5.1071 | 286 | 0.6154 | 0.2670 | 0.6154 | 0.7844 |
| No log | 5.1429 | 288 | 0.5760 | 0.2609 | 0.5760 | 0.7589 |
| No log | 5.1786 | 290 | 0.5546 | 0.2381 | 0.5546 | 0.7447 |
| No log | 5.2143 | 292 | 0.5417 | 0.3609 | 0.5417 | 0.7360 |
| No log | 5.25 | 294 | 0.5742 | 0.3371 | 0.5742 | 0.7578 |
| No log | 5.2857 | 296 | 0.6247 | 0.2865 | 0.6247 | 0.7904 |
| No log | 5.3214 | 298 | 0.6239 | 0.2865 | 0.6239 | 0.7899 |
| No log | 5.3571 | 300 | 0.5706 | 0.3371 | 0.5706 | 0.7554 |
| No log | 5.3929 | 302 | 0.5320 | 0.3757 | 0.5320 | 0.7294 |
| No log | 5.4286 | 304 | 0.5380 | 0.3297 | 0.5380 | 0.7335 |
| No log | 5.4643 | 306 | 0.5905 | 0.2577 | 0.5905 | 0.7684 |
| No log | 5.5 | 308 | 0.7617 | 0.3067 | 0.7617 | 0.8728 |
| No log | 5.5357 | 310 | 1.0372 | 0.2409 | 1.0372 | 1.0185 |
| No log | 5.5714 | 312 | 0.9737 | 0.2124 | 0.9737 | 0.9867 |
| No log | 5.6071 | 314 | 0.7067 | 0.2780 | 0.7067 | 0.8407 |
| No log | 5.6429 | 316 | 0.6271 | 0.3617 | 0.6271 | 0.7919 |
| No log | 5.6786 | 318 | 0.6541 | 0.2842 | 0.6541 | 0.8087 |
| No log | 5.7143 | 320 | 0.7862 | 0.25 | 0.7862 | 0.8867 |
| No log | 5.75 | 322 | 0.7970 | 0.25 | 0.7970 | 0.8927 |
| No log | 5.7857 | 324 | 0.6389 | 0.3263 | 0.6389 | 0.7993 |
| No log | 5.8214 | 326 | 0.5563 | 0.3371 | 0.5563 | 0.7459 |
| No log | 5.8571 | 328 | 0.5635 | 0.2644 | 0.5635 | 0.7507 |
| No log | 5.8929 | 330 | 0.5628 | 0.3446 | 0.5628 | 0.7502 |
| No log | 5.9286 | 332 | 0.6123 | 0.3778 | 0.6123 | 0.7825 |
| No log | 5.9643 | 334 | 0.7084 | 0.2850 | 0.7084 | 0.8417 |
| No log | 6.0 | 336 | 0.8175 | 0.2217 | 0.8175 | 0.9041 |
| No log | 6.0357 | 338 | 0.7473 | 0.2830 | 0.7473 | 0.8644 |
| No log | 6.0714 | 340 | 0.6138 | 0.3661 | 0.6138 | 0.7835 |
| No log | 6.1071 | 342 | 0.5896 | 0.2967 | 0.5896 | 0.7678 |
| No log | 6.1429 | 344 | 0.6012 | 0.3591 | 0.6012 | 0.7754 |
| No log | 6.1786 | 346 | 0.7086 | 0.2830 | 0.7086 | 0.8418 |
| No log | 6.2143 | 348 | 0.7942 | 0.2217 | 0.7942 | 0.8912 |
| No log | 6.25 | 350 | 0.7503 | 0.2233 | 0.7503 | 0.8662 |
| No log | 6.2857 | 352 | 0.6190 | 0.3103 | 0.6190 | 0.7868 |
| No log | 6.3214 | 354 | 0.5440 | 0.3939 | 0.5440 | 0.7376 |
| No log | 6.3571 | 356 | 0.5316 | 0.3924 | 0.5316 | 0.7291 |
| No log | 6.3929 | 358 | 0.5530 | 0.3939 | 0.5530 | 0.7436 |
| No log | 6.4286 | 360 | 0.5915 | 0.2967 | 0.5915 | 0.7691 |
| No log | 6.4643 | 362 | 0.5564 | 0.3939 | 0.5564 | 0.7459 |
| No log | 6.5 | 364 | 0.5178 | 0.4634 | 0.5178 | 0.7196 |
| No log | 6.5357 | 366 | 0.5235 | 0.35 | 0.5235 | 0.7235 |
| No log | 6.5714 | 368 | 0.5231 | 0.35 | 0.5231 | 0.7233 |
| No log | 6.6071 | 370 | 0.5224 | 0.4483 | 0.5224 | 0.7228 |
| No log | 6.6429 | 372 | 0.6292 | 0.3143 | 0.6292 | 0.7932 |
| No log | 6.6786 | 374 | 0.7397 | 0.2549 | 0.7397 | 0.8600 |
| No log | 6.7143 | 376 | 0.7198 | 0.2549 | 0.7198 | 0.8484 |
| No log | 6.75 | 378 | 0.6046 | 0.3641 | 0.6046 | 0.7776 |
| No log | 6.7857 | 380 | 0.5205 | 0.3882 | 0.5205 | 0.7215 |
| No log | 6.8214 | 382 | 0.5595 | 0.4083 | 0.5595 | 0.7480 |
| No log | 6.8571 | 384 | 0.5697 | 0.4083 | 0.5697 | 0.7548 |
| No log | 6.8929 | 386 | 0.5322 | 0.35 | 0.5322 | 0.7295 |
| No log | 6.9286 | 388 | 0.5425 | 0.4152 | 0.5425 | 0.7365 |
| No log | 6.9643 | 390 | 0.6356 | 0.1837 | 0.6356 | 0.7972 |
| No log | 7.0 | 392 | 0.7081 | 0.2239 | 0.7081 | 0.8415 |
| No log | 7.0357 | 394 | 0.6592 | 0.1837 | 0.6592 | 0.8119 |
| No log | 7.0714 | 396 | 0.5629 | 0.3641 | 0.5629 | 0.7503 |
| No log | 7.1071 | 398 | 0.5324 | 0.4419 | 0.5324 | 0.7296 |
| No log | 7.1429 | 400 | 0.5359 | 0.3810 | 0.5359 | 0.7320 |
| No log | 7.1786 | 402 | 0.5365 | 0.3810 | 0.5365 | 0.7325 |
| No log | 7.2143 | 404 | 0.5324 | 0.4074 | 0.5324 | 0.7297 |
| No log | 7.25 | 406 | 0.5671 | 0.3297 | 0.5671 | 0.7531 |
| No log | 7.2857 | 408 | 0.5822 | 0.3043 | 0.5822 | 0.7630 |
| No log | 7.3214 | 410 | 0.5478 | 0.4 | 0.5478 | 0.7401 |
| No log | 7.3571 | 412 | 0.5169 | 0.3711 | 0.5169 | 0.7189 |
| No log | 7.3929 | 414 | 0.5193 | 0.3865 | 0.5193 | 0.7206 |
| No log | 7.4286 | 416 | 0.5188 | 0.3865 | 0.5188 | 0.7203 |
| No log | 7.4643 | 418 | 0.5064 | 0.4491 | 0.5064 | 0.7116 |
| No log | 7.5 | 420 | 0.5237 | 0.3412 | 0.5237 | 0.7237 |
| No log | 7.5357 | 422 | 0.5487 | 0.3333 | 0.5487 | 0.7407 |
| No log | 7.5714 | 424 | 0.5627 | 0.3297 | 0.5627 | 0.7501 |
| No log | 7.6071 | 426 | 0.5628 | 0.3297 | 0.5628 | 0.7502 |
| No log | 7.6429 | 428 | 0.5421 | 0.3297 | 0.5421 | 0.7362 |
| No log | 7.6786 | 430 | 0.5460 | 0.3297 | 0.5460 | 0.7389 |
| No log | 7.7143 | 432 | 0.5592 | 0.3297 | 0.5592 | 0.7478 |
| No log | 7.75 | 434 | 0.5921 | 0.3706 | 0.5921 | 0.7695 |
| No log | 7.7857 | 436 | 0.6002 | 0.3267 | 0.6002 | 0.7748 |
| No log | 7.8214 | 438 | 0.5570 | 0.2967 | 0.5570 | 0.7463 |
| No log | 7.8571 | 440 | 0.5201 | 0.4286 | 0.5201 | 0.7212 |
| No log | 7.8929 | 442 | 0.5257 | 0.4682 | 0.5257 | 0.7251 |
| No log | 7.9286 | 444 | 0.5616 | 0.2967 | 0.5616 | 0.7494 |
| No log | 7.9643 | 446 | 0.5919 | 0.25 | 0.5919 | 0.7693 |
| No log | 8.0 | 448 | 0.6303 | 0.3267 | 0.6303 | 0.7939 |
| No log | 8.0357 | 450 | 0.6678 | 0.2811 | 0.6678 | 0.8172 |
| No log | 8.0714 | 452 | 0.6776 | 0.2811 | 0.6776 | 0.8232 |
| No log | 8.1071 | 454 | 0.6266 | 0.25 | 0.6266 | 0.7916 |
| No log | 8.1429 | 456 | 0.5817 | 0.3161 | 0.5817 | 0.7627 |
| No log | 8.1786 | 458 | 0.5574 | 0.4157 | 0.5574 | 0.7466 |
| No log | 8.2143 | 460 | 0.5618 | 0.4157 | 0.5618 | 0.7496 |
| No log | 8.25 | 462 | 0.5597 | 0.4157 | 0.5597 | 0.7481 |
| No log | 8.2857 | 464 | 0.5752 | 0.3617 | 0.5752 | 0.7584 |
| No log | 8.3214 | 466 | 0.6069 | 0.3200 | 0.6069 | 0.7790 |
| No log | 8.3571 | 468 | 0.6031 | 0.3200 | 0.6031 | 0.7766 |
| No log | 8.3929 | 470 | 0.6012 | 0.3200 | 0.6012 | 0.7754 |
| No log | 8.4286 | 472 | 0.5699 | 0.4157 | 0.5699 | 0.7549 |
| No log | 8.4643 | 474 | 0.5496 | 0.4682 | 0.5496 | 0.7413 |
| No log | 8.5 | 476 | 0.5479 | 0.4682 | 0.5479 | 0.7402 |
| No log | 8.5357 | 478 | 0.5623 | 0.4157 | 0.5623 | 0.7499 |
| No log | 8.5714 | 480 | 0.5928 | 0.2893 | 0.5928 | 0.7700 |
| No log | 8.6071 | 482 | 0.5953 | 0.2893 | 0.5953 | 0.7716 |
| No log | 8.6429 | 484 | 0.5777 | 0.3661 | 0.5777 | 0.7601 |
| No log | 8.6786 | 486 | 0.5656 | 0.3661 | 0.5656 | 0.7521 |
| No log | 8.7143 | 488 | 0.5749 | 0.3661 | 0.5749 | 0.7582 |
| No log | 8.75 | 490 | 0.5754 | 0.3661 | 0.5754 | 0.7585 |
| No log | 8.7857 | 492 | 0.5680 | 0.3661 | 0.5680 | 0.7537 |
| No log | 8.8214 | 494 | 0.5618 | 0.4157 | 0.5618 | 0.7496 |
| No log | 8.8571 | 496 | 0.5599 | 0.4157 | 0.5599 | 0.7483 |
| No log | 8.8929 | 498 | 0.5462 | 0.4682 | 0.5462 | 0.7391 |
| 0.4026 | 8.9286 | 500 | 0.5304 | 0.4152 | 0.5304 | 0.7283 |
| 0.4026 | 8.9643 | 502 | 0.5262 | 0.4152 | 0.5262 | 0.7254 |
| 0.4026 | 9.0 | 504 | 0.5271 | 0.4152 | 0.5271 | 0.7260 |
| 0.4026 | 9.0357 | 506 | 0.5351 | 0.4152 | 0.5351 | 0.7315 |
| 0.4026 | 9.0714 | 508 | 0.5551 | 0.4157 | 0.5551 | 0.7450 |
| 0.4026 | 9.1071 | 510 | 0.5867 | 0.2994 | 0.5867 | 0.7660 |
| 0.4026 | 9.1429 | 512 | 0.6249 | 0.2893 | 0.6249 | 0.7905 |
| 0.4026 | 9.1786 | 514 | 0.6452 | 0.2830 | 0.6452 | 0.8032 |
| 0.4026 | 9.2143 | 516 | 0.6398 | 0.2893 | 0.6398 | 0.7999 |
| 0.4026 | 9.25 | 518 | 0.6155 | 0.2893 | 0.6155 | 0.7846 |
| 0.4026 | 9.2857 | 520 | 0.5888 | 0.3297 | 0.5888 | 0.7673 |
| 0.4026 | 9.3214 | 522 | 0.5645 | 0.4157 | 0.5645 | 0.7514 |
| 0.4026 | 9.3571 | 524 | 0.5460 | 0.4545 | 0.5460 | 0.7389 |
| 0.4026 | 9.3929 | 526 | 0.5372 | 0.4152 | 0.5372 | 0.7329 |
| 0.4026 | 9.4286 | 528 | 0.5304 | 0.4023 | 0.5304 | 0.7283 |
| 0.4026 | 9.4643 | 530 | 0.5286 | 0.4023 | 0.5286 | 0.7271 |
| 0.4026 | 9.5 | 532 | 0.5296 | 0.4023 | 0.5296 | 0.7277 |
| 0.4026 | 9.5357 | 534 | 0.5342 | 0.4152 | 0.5342 | 0.7309 |
| 0.4026 | 9.5714 | 536 | 0.5380 | 0.4545 | 0.5380 | 0.7335 |
| 0.4026 | 9.6071 | 538 | 0.5450 | 0.4545 | 0.5450 | 0.7382 |
| 0.4026 | 9.6429 | 540 | 0.5498 | 0.4682 | 0.5498 | 0.7415 |
| 0.4026 | 9.6786 | 542 | 0.5551 | 0.4157 | 0.5551 | 0.7451 |
| 0.4026 | 9.7143 | 544 | 0.5631 | 0.4157 | 0.5631 | 0.7504 |
| 0.4026 | 9.75 | 546 | 0.5698 | 0.4157 | 0.5698 | 0.7548 |
| 0.4026 | 9.7857 | 548 | 0.5794 | 0.3617 | 0.5794 | 0.7612 |
| 0.4026 | 9.8214 | 550 | 0.5842 | 0.3617 | 0.5842 | 0.7643 |
| 0.4026 | 9.8571 | 552 | 0.5871 | 0.3617 | 0.5871 | 0.7662 |
| 0.4026 | 9.8929 | 554 | 0.5866 | 0.3617 | 0.5866 | 0.7659 |
| 0.4026 | 9.9286 | 556 | 0.5865 | 0.3617 | 0.5865 | 0.7658 |
| 0.4026 | 9.9643 | 558 | 0.5861 | 0.3617 | 0.5861 | 0.7655 |
| 0.4026 | 10.0 | 560 | 0.5854 | 0.3617 | 0.5854 | 0.7651 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 1
Model tree for MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task3_organization
Base model
aubmindlab/bert-base-arabertv02