Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_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: 0.5480
- Qwk: 0.3649
- Mse: 0.5480
- Rmse: 0.7403
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 | 0.0230 | 2 | 2.6022 | -0.0593 | 2.6022 | 1.6131 |
| No log | 0.0460 | 4 | 1.2771 | 0.0982 | 1.2771 | 1.1301 |
| No log | 0.0690 | 6 | 1.1344 | -0.1722 | 1.1344 | 1.0651 |
| No log | 0.0920 | 8 | 0.8741 | 0.2440 | 0.8741 | 0.9349 |
| No log | 0.1149 | 10 | 0.8190 | 0.2892 | 0.8190 | 0.9050 |
| No log | 0.1379 | 12 | 0.7367 | 0.2328 | 0.7367 | 0.8583 |
| No log | 0.1609 | 14 | 0.7738 | 0.3562 | 0.7738 | 0.8796 |
| No log | 0.1839 | 16 | 0.6925 | 0.3318 | 0.6925 | 0.8322 |
| No log | 0.2069 | 18 | 0.7289 | 0.3691 | 0.7289 | 0.8537 |
| No log | 0.2299 | 20 | 0.6592 | 0.3280 | 0.6592 | 0.8119 |
| No log | 0.2529 | 22 | 0.7692 | 0.1734 | 0.7692 | 0.8770 |
| No log | 0.2759 | 24 | 0.7201 | 0.3261 | 0.7201 | 0.8486 |
| No log | 0.2989 | 26 | 0.6306 | 0.3863 | 0.6306 | 0.7941 |
| No log | 0.3218 | 28 | 0.7161 | 0.2132 | 0.7161 | 0.8462 |
| No log | 0.3448 | 30 | 0.9145 | 0.2908 | 0.9145 | 0.9563 |
| No log | 0.3678 | 32 | 0.8827 | 0.2046 | 0.8827 | 0.9395 |
| No log | 0.3908 | 34 | 0.7751 | 0.1786 | 0.7751 | 0.8804 |
| No log | 0.4138 | 36 | 0.6926 | 0.0 | 0.6926 | 0.8322 |
| No log | 0.4368 | 38 | 0.6497 | 0.1617 | 0.6497 | 0.8061 |
| No log | 0.4598 | 40 | 0.6492 | 0.3926 | 0.6492 | 0.8057 |
| No log | 0.4828 | 42 | 0.6401 | 0.3546 | 0.6401 | 0.8000 |
| No log | 0.5057 | 44 | 0.6047 | 0.2786 | 0.6047 | 0.7776 |
| No log | 0.5287 | 46 | 0.7073 | 0.3040 | 0.7073 | 0.8410 |
| No log | 0.5517 | 48 | 0.6228 | 0.3093 | 0.6228 | 0.7892 |
| No log | 0.5747 | 50 | 0.6083 | 0.3572 | 0.6083 | 0.7799 |
| No log | 0.5977 | 52 | 0.7773 | 0.3960 | 0.7773 | 0.8816 |
| No log | 0.6207 | 54 | 1.3923 | 0.2273 | 1.3923 | 1.1800 |
| No log | 0.6437 | 56 | 1.2046 | 0.2868 | 1.2046 | 1.0976 |
| No log | 0.6667 | 58 | 0.7264 | 0.3519 | 0.7264 | 0.8523 |
| No log | 0.6897 | 60 | 0.6142 | 0.2748 | 0.6142 | 0.7837 |
| No log | 0.7126 | 62 | 0.6125 | 0.3153 | 0.6125 | 0.7826 |
| No log | 0.7356 | 64 | 0.8591 | 0.3665 | 0.8591 | 0.9269 |
| No log | 0.7586 | 66 | 1.6882 | 0.1309 | 1.6882 | 1.2993 |
| No log | 0.7816 | 68 | 1.9733 | 0.0065 | 1.9733 | 1.4047 |
| No log | 0.8046 | 70 | 1.8415 | -0.0143 | 1.8415 | 1.3570 |
| No log | 0.8276 | 72 | 1.4221 | 0.1732 | 1.4221 | 1.1925 |
| No log | 0.8506 | 74 | 0.8111 | 0.4113 | 0.8111 | 0.9006 |
| No log | 0.8736 | 76 | 0.6827 | 0.4409 | 0.6827 | 0.8262 |
| No log | 0.8966 | 78 | 0.7814 | 0.3777 | 0.7814 | 0.8840 |
| No log | 0.9195 | 80 | 0.8382 | 0.4092 | 0.8382 | 0.9155 |
| No log | 0.9425 | 82 | 0.7570 | 0.3918 | 0.7570 | 0.8700 |
| No log | 0.9655 | 84 | 0.7292 | 0.3918 | 0.7292 | 0.8539 |
| No log | 0.9885 | 86 | 0.6731 | 0.4307 | 0.6731 | 0.8204 |
| No log | 1.0115 | 88 | 0.6653 | 0.3819 | 0.6653 | 0.8157 |
| No log | 1.0345 | 90 | 0.7188 | 0.4307 | 0.7188 | 0.8478 |
| No log | 1.0575 | 92 | 0.7753 | 0.3042 | 0.7753 | 0.8805 |
| No log | 1.0805 | 94 | 0.7309 | 0.3699 | 0.7309 | 0.8549 |
| No log | 1.1034 | 96 | 0.6848 | 0.4036 | 0.6848 | 0.8275 |
| No log | 1.1264 | 98 | 0.6133 | 0.3867 | 0.6133 | 0.7831 |
| No log | 1.1494 | 100 | 0.5596 | 0.3970 | 0.5596 | 0.7480 |
| No log | 1.1724 | 102 | 0.5900 | 0.4393 | 0.5900 | 0.7681 |
| No log | 1.1954 | 104 | 0.7654 | 0.4549 | 0.7654 | 0.8749 |
| No log | 1.2184 | 106 | 0.8279 | 0.4400 | 0.8279 | 0.9099 |
| No log | 1.2414 | 108 | 0.7846 | 0.3913 | 0.7846 | 0.8858 |
| No log | 1.2644 | 110 | 0.6400 | 0.4036 | 0.6400 | 0.8000 |
| No log | 1.2874 | 112 | 0.5606 | 0.5232 | 0.5606 | 0.7488 |
| No log | 1.3103 | 114 | 0.5680 | 0.4697 | 0.5680 | 0.7536 |
| No log | 1.3333 | 116 | 0.5644 | 0.4904 | 0.5644 | 0.7513 |
| No log | 1.3563 | 118 | 0.5685 | 0.5437 | 0.5685 | 0.7540 |
| No log | 1.3793 | 120 | 0.5492 | 0.5455 | 0.5492 | 0.7411 |
| No log | 1.4023 | 122 | 0.5558 | 0.5648 | 0.5558 | 0.7455 |
| No log | 1.4253 | 124 | 0.5663 | 0.4437 | 0.5663 | 0.7525 |
| No log | 1.4483 | 126 | 0.6232 | 0.4576 | 0.6232 | 0.7895 |
| No log | 1.4713 | 128 | 0.6676 | 0.4409 | 0.6676 | 0.8171 |
| No log | 1.4943 | 130 | 0.6557 | 0.4815 | 0.6557 | 0.8097 |
| No log | 1.5172 | 132 | 0.8698 | 0.3247 | 0.8698 | 0.9326 |
| No log | 1.5402 | 134 | 1.0602 | 0.2914 | 1.0602 | 1.0296 |
| No log | 1.5632 | 136 | 0.8332 | 0.3913 | 0.8332 | 0.9128 |
| No log | 1.5862 | 138 | 0.5206 | 0.4945 | 0.5206 | 0.7215 |
| No log | 1.6092 | 140 | 0.5908 | 0.3851 | 0.5908 | 0.7686 |
| No log | 1.6322 | 142 | 0.6729 | 0.3663 | 0.6729 | 0.8203 |
| No log | 1.6552 | 144 | 0.5257 | 0.5877 | 0.5257 | 0.7251 |
| No log | 1.6782 | 146 | 0.5588 | 0.4576 | 0.5588 | 0.7475 |
| No log | 1.7011 | 148 | 0.8938 | 0.3538 | 0.8938 | 0.9454 |
| No log | 1.7241 | 150 | 0.9457 | 0.3010 | 0.9457 | 0.9725 |
| No log | 1.7471 | 152 | 0.7421 | 0.4230 | 0.7421 | 0.8615 |
| No log | 1.7701 | 154 | 0.6178 | 0.1922 | 0.6178 | 0.7860 |
| No log | 1.7931 | 156 | 0.6720 | 0.2156 | 0.6720 | 0.8198 |
| No log | 1.8161 | 158 | 0.7234 | 0.3173 | 0.7234 | 0.8505 |
| No log | 1.8391 | 160 | 0.6489 | 0.2846 | 0.6489 | 0.8055 |
| No log | 1.8621 | 162 | 0.5850 | 0.2852 | 0.5850 | 0.7648 |
| No log | 1.8851 | 164 | 0.6461 | 0.4154 | 0.6461 | 0.8038 |
| No log | 1.9080 | 166 | 0.6640 | 0.4384 | 0.6640 | 0.8149 |
| No log | 1.9310 | 168 | 0.6215 | 0.3918 | 0.6215 | 0.7883 |
| No log | 1.9540 | 170 | 0.6338 | 0.4384 | 0.6338 | 0.7961 |
| No log | 1.9770 | 172 | 0.7561 | 0.4530 | 0.7561 | 0.8696 |
| No log | 2.0 | 174 | 0.8288 | 0.3739 | 0.8288 | 0.9104 |
| No log | 2.0230 | 176 | 0.6994 | 0.4530 | 0.6994 | 0.8363 |
| No log | 2.0460 | 178 | 0.5801 | 0.4911 | 0.5801 | 0.7616 |
| No log | 2.0690 | 180 | 0.6085 | 0.4424 | 0.6085 | 0.7801 |
| No log | 2.0920 | 182 | 0.7515 | 0.4162 | 0.7515 | 0.8669 |
| No log | 2.1149 | 184 | 0.7711 | 0.3804 | 0.7711 | 0.8781 |
| No log | 2.1379 | 186 | 0.7144 | 0.4234 | 0.7144 | 0.8452 |
| No log | 2.1609 | 188 | 0.6259 | 0.4307 | 0.6259 | 0.7911 |
| No log | 2.1839 | 190 | 0.5694 | 0.4815 | 0.5694 | 0.7546 |
| No log | 2.2069 | 192 | 0.5397 | 0.5289 | 0.5397 | 0.7347 |
| No log | 2.2299 | 194 | 0.5099 | 0.5003 | 0.5099 | 0.7140 |
| No log | 2.2529 | 196 | 0.5111 | 0.5003 | 0.5111 | 0.7149 |
| No log | 2.2759 | 198 | 0.5363 | 0.5516 | 0.5363 | 0.7323 |
| No log | 2.2989 | 200 | 0.5830 | 0.4424 | 0.5830 | 0.7635 |
| No log | 2.3218 | 202 | 0.5964 | 0.4424 | 0.5964 | 0.7722 |
| No log | 2.3448 | 204 | 0.5936 | 0.4502 | 0.5936 | 0.7704 |
| No log | 2.3678 | 206 | 0.5783 | 0.5219 | 0.5783 | 0.7605 |
| No log | 2.3908 | 208 | 0.5877 | 0.5452 | 0.5877 | 0.7666 |
| No log | 2.4138 | 210 | 0.6614 | 0.4175 | 0.6614 | 0.8133 |
| No log | 2.4368 | 212 | 0.8456 | 0.3579 | 0.8456 | 0.9196 |
| No log | 2.4598 | 214 | 0.9009 | 0.3516 | 0.9009 | 0.9491 |
| No log | 2.4828 | 216 | 0.7967 | 0.3643 | 0.7967 | 0.8926 |
| No log | 2.5057 | 218 | 0.6448 | 0.4158 | 0.6448 | 0.8030 |
| No log | 2.5287 | 220 | 0.6318 | 0.3622 | 0.6318 | 0.7949 |
| No log | 2.5517 | 222 | 0.6733 | 0.3637 | 0.6733 | 0.8206 |
| No log | 2.5747 | 224 | 0.7591 | 0.3777 | 0.7591 | 0.8713 |
| No log | 2.5977 | 226 | 0.8896 | 0.3395 | 0.8896 | 0.9432 |
| No log | 2.6207 | 228 | 0.8657 | 0.3455 | 0.8657 | 0.9304 |
| No log | 2.6437 | 230 | 0.7112 | 0.3777 | 0.7112 | 0.8433 |
| No log | 2.6667 | 232 | 0.6488 | 0.4123 | 0.6488 | 0.8055 |
| No log | 2.6897 | 234 | 0.5930 | 0.5786 | 0.5930 | 0.7701 |
| No log | 2.7126 | 236 | 0.6092 | 0.5219 | 0.6092 | 0.7805 |
| No log | 2.7356 | 238 | 0.6136 | 0.4582 | 0.6136 | 0.7833 |
| No log | 2.7586 | 240 | 0.5489 | 0.4555 | 0.5489 | 0.7409 |
| No log | 2.7816 | 242 | 0.5747 | 0.4517 | 0.5747 | 0.7581 |
| No log | 2.8046 | 244 | 0.5744 | 0.4517 | 0.5744 | 0.7579 |
| No log | 2.8276 | 246 | 0.5774 | 0.4294 | 0.5774 | 0.7599 |
| No log | 2.8506 | 248 | 0.5327 | 0.4839 | 0.5327 | 0.7298 |
| No log | 2.8736 | 250 | 0.6173 | 0.4815 | 0.6173 | 0.7857 |
| No log | 2.8966 | 252 | 0.6346 | 0.4562 | 0.6346 | 0.7966 |
| No log | 2.9195 | 254 | 0.5675 | 0.5252 | 0.5675 | 0.7533 |
| No log | 2.9425 | 256 | 0.5697 | 0.5252 | 0.5697 | 0.7548 |
| No log | 2.9655 | 258 | 0.6334 | 0.4409 | 0.6334 | 0.7959 |
| No log | 2.9885 | 260 | 0.7356 | 0.4113 | 0.7356 | 0.8577 |
| No log | 3.0115 | 262 | 0.8823 | 0.3909 | 0.8823 | 0.9393 |
| No log | 3.0345 | 264 | 0.7641 | 0.3933 | 0.7641 | 0.8742 |
| No log | 3.0575 | 266 | 0.6359 | 0.4512 | 0.6359 | 0.7975 |
| No log | 3.0805 | 268 | 0.5547 | 0.4513 | 0.5547 | 0.7448 |
| No log | 3.1034 | 270 | 0.5223 | 0.5326 | 0.5223 | 0.7227 |
| No log | 3.1264 | 272 | 0.5237 | 0.5404 | 0.5237 | 0.7236 |
| No log | 3.1494 | 274 | 0.5193 | 0.3677 | 0.5193 | 0.7206 |
| No log | 3.1724 | 276 | 0.5265 | 0.5307 | 0.5265 | 0.7256 |
| No log | 3.1954 | 278 | 0.5310 | 0.5195 | 0.5310 | 0.7287 |
| No log | 3.2184 | 280 | 0.5612 | 0.4112 | 0.5612 | 0.7491 |
| No log | 3.2414 | 282 | 0.5216 | 0.5095 | 0.5216 | 0.7222 |
| No log | 3.2644 | 284 | 0.5191 | 0.5286 | 0.5191 | 0.7205 |
| No log | 3.2874 | 286 | 0.5227 | 0.5361 | 0.5227 | 0.7230 |
| No log | 3.3103 | 288 | 0.5252 | 0.5672 | 0.5252 | 0.7247 |
| No log | 3.3333 | 290 | 0.5725 | 0.4949 | 0.5725 | 0.7567 |
| No log | 3.3563 | 292 | 0.5912 | 0.4204 | 0.5912 | 0.7689 |
| No log | 3.3793 | 294 | 0.5937 | 0.4204 | 0.5937 | 0.7705 |
| No log | 3.4023 | 296 | 0.5183 | 0.5361 | 0.5183 | 0.7199 |
| No log | 3.4253 | 298 | 0.5212 | 0.5980 | 0.5212 | 0.7219 |
| No log | 3.4483 | 300 | 0.5095 | 0.5868 | 0.5095 | 0.7138 |
| No log | 3.4713 | 302 | 0.5268 | 0.4367 | 0.5268 | 0.7258 |
| No log | 3.4943 | 304 | 0.5759 | 0.4044 | 0.5759 | 0.7589 |
| No log | 3.5172 | 306 | 0.5487 | 0.5317 | 0.5487 | 0.7407 |
| No log | 3.5402 | 308 | 0.4970 | 0.5986 | 0.4970 | 0.7050 |
| No log | 3.5632 | 310 | 0.5393 | 0.5017 | 0.5393 | 0.7343 |
| No log | 3.5862 | 312 | 0.5408 | 0.5017 | 0.5408 | 0.7354 |
| No log | 3.6092 | 314 | 0.4991 | 0.5868 | 0.4991 | 0.7065 |
| No log | 3.6322 | 316 | 0.4958 | 0.5868 | 0.4958 | 0.7042 |
| No log | 3.6552 | 318 | 0.4950 | 0.5357 | 0.4950 | 0.7036 |
| No log | 3.6782 | 320 | 0.4941 | 0.6517 | 0.4941 | 0.7029 |
| No log | 3.7011 | 322 | 0.5971 | 0.4664 | 0.5971 | 0.7727 |
| No log | 3.7241 | 324 | 0.6542 | 0.4947 | 0.6542 | 0.8088 |
| No log | 3.7471 | 326 | 0.5611 | 0.5271 | 0.5611 | 0.7491 |
| No log | 3.7701 | 328 | 0.5113 | 0.5752 | 0.5113 | 0.7151 |
| No log | 3.7931 | 330 | 0.5245 | 0.5516 | 0.5245 | 0.7242 |
| No log | 3.8161 | 332 | 0.5573 | 0.5017 | 0.5573 | 0.7465 |
| No log | 3.8391 | 334 | 0.5658 | 0.5017 | 0.5658 | 0.7522 |
| No log | 3.8621 | 336 | 0.5925 | 0.5252 | 0.5925 | 0.7698 |
| No log | 3.8851 | 338 | 0.5256 | 0.5271 | 0.5256 | 0.7250 |
| No log | 3.9080 | 340 | 0.4958 | 0.4858 | 0.4958 | 0.7041 |
| No log | 3.9310 | 342 | 0.4961 | 0.4858 | 0.4961 | 0.7044 |
| No log | 3.9540 | 344 | 0.4968 | 0.4934 | 0.4968 | 0.7048 |
| No log | 3.9770 | 346 | 0.5082 | 0.5614 | 0.5082 | 0.7129 |
| No log | 4.0 | 348 | 0.5472 | 0.5017 | 0.5472 | 0.7397 |
| No log | 4.0230 | 350 | 0.5569 | 0.5252 | 0.5569 | 0.7463 |
| No log | 4.0460 | 352 | 0.5249 | 0.5111 | 0.5249 | 0.7245 |
| No log | 4.0690 | 354 | 0.4971 | 0.4194 | 0.4971 | 0.7050 |
| No log | 4.0920 | 356 | 0.5320 | 0.4466 | 0.5320 | 0.7294 |
| No log | 4.1149 | 358 | 0.5079 | 0.4105 | 0.5079 | 0.7126 |
| No log | 4.1379 | 360 | 0.5176 | 0.5036 | 0.5176 | 0.7195 |
| No log | 4.1609 | 362 | 0.6402 | 0.5029 | 0.6402 | 0.8001 |
| No log | 4.1839 | 364 | 0.7249 | 0.4462 | 0.7249 | 0.8514 |
| No log | 4.2069 | 366 | 0.6366 | 0.4959 | 0.6366 | 0.7978 |
| No log | 4.2299 | 368 | 0.5251 | 0.4774 | 0.5251 | 0.7247 |
| No log | 4.2529 | 370 | 0.4984 | 0.5386 | 0.4984 | 0.7060 |
| No log | 4.2759 | 372 | 0.5018 | 0.5131 | 0.5018 | 0.7084 |
| No log | 4.2989 | 374 | 0.5018 | 0.5214 | 0.5018 | 0.7084 |
| No log | 4.3218 | 376 | 0.4962 | 0.5307 | 0.4962 | 0.7044 |
| No log | 4.3448 | 378 | 0.5165 | 0.5036 | 0.5165 | 0.7187 |
| No log | 4.3678 | 380 | 0.5099 | 0.5131 | 0.5099 | 0.7141 |
| No log | 4.3908 | 382 | 0.5360 | 0.4845 | 0.5360 | 0.7321 |
| No log | 4.4138 | 384 | 0.5251 | 0.5039 | 0.5251 | 0.7246 |
| No log | 4.4368 | 386 | 0.5280 | 0.3782 | 0.5280 | 0.7266 |
| No log | 4.4598 | 388 | 0.5314 | 0.4273 | 0.5314 | 0.7290 |
| No log | 4.4828 | 390 | 0.5339 | 0.4273 | 0.5339 | 0.7307 |
| No log | 4.5057 | 392 | 0.5102 | 0.4276 | 0.5102 | 0.7143 |
| No log | 4.5287 | 394 | 0.4899 | 0.3890 | 0.4899 | 0.6999 |
| No log | 4.5517 | 396 | 0.4956 | 0.5195 | 0.4956 | 0.7040 |
| No log | 4.5747 | 398 | 0.5292 | 0.4925 | 0.5292 | 0.7275 |
| No log | 4.5977 | 400 | 0.5149 | 0.4855 | 0.5149 | 0.7176 |
| No log | 4.6207 | 402 | 0.5001 | 0.5671 | 0.5001 | 0.7072 |
| No log | 4.6437 | 404 | 0.4774 | 0.4722 | 0.4774 | 0.6909 |
| No log | 4.6667 | 406 | 0.5019 | 0.5189 | 0.5019 | 0.7085 |
| No log | 4.6897 | 408 | 0.4911 | 0.4991 | 0.4911 | 0.7008 |
| No log | 4.7126 | 410 | 0.4860 | 0.4953 | 0.4860 | 0.6971 |
| No log | 4.7356 | 412 | 0.5049 | 0.5516 | 0.5049 | 0.7105 |
| No log | 4.7586 | 414 | 0.5045 | 0.5752 | 0.5045 | 0.7103 |
| No log | 4.7816 | 416 | 0.4732 | 0.6010 | 0.4732 | 0.6879 |
| No log | 4.8046 | 418 | 0.4656 | 0.5061 | 0.4656 | 0.6823 |
| No log | 4.8276 | 420 | 0.4661 | 0.5061 | 0.4661 | 0.6828 |
| No log | 4.8506 | 422 | 0.4649 | 0.5505 | 0.4649 | 0.6818 |
| No log | 4.8736 | 424 | 0.4804 | 0.6096 | 0.4804 | 0.6931 |
| No log | 4.8966 | 426 | 0.5012 | 0.5752 | 0.5012 | 0.7079 |
| No log | 4.9195 | 428 | 0.5244 | 0.5639 | 0.5244 | 0.7241 |
| No log | 4.9425 | 430 | 0.5368 | 0.5677 | 0.5368 | 0.7327 |
| No log | 4.9655 | 432 | 0.4791 | 0.6252 | 0.4791 | 0.6922 |
| No log | 4.9885 | 434 | 0.4796 | 0.5875 | 0.4796 | 0.6926 |
| No log | 5.0115 | 436 | 0.4926 | 0.5092 | 0.4926 | 0.7019 |
| No log | 5.0345 | 438 | 0.4900 | 0.5734 | 0.4900 | 0.7000 |
| No log | 5.0575 | 440 | 0.5172 | 0.5017 | 0.5172 | 0.7192 |
| No log | 5.0805 | 442 | 0.6138 | 0.4644 | 0.6138 | 0.7834 |
| No log | 5.1034 | 444 | 0.5912 | 0.5139 | 0.5912 | 0.7689 |
| No log | 5.1264 | 446 | 0.5456 | 0.5330 | 0.5456 | 0.7386 |
| No log | 5.1494 | 448 | 0.4840 | 0.5883 | 0.4840 | 0.6957 |
| No log | 5.1724 | 450 | 0.4956 | 0.5321 | 0.4956 | 0.7040 |
| No log | 5.1954 | 452 | 0.4952 | 0.5098 | 0.4952 | 0.7037 |
| No log | 5.2184 | 454 | 0.4915 | 0.5675 | 0.4915 | 0.7011 |
| No log | 5.2414 | 456 | 0.4937 | 0.5227 | 0.4937 | 0.7026 |
| No log | 5.2644 | 458 | 0.5002 | 0.4857 | 0.5002 | 0.7072 |
| No log | 5.2874 | 460 | 0.5001 | 0.4970 | 0.5001 | 0.7072 |
| No log | 5.3103 | 462 | 0.4981 | 0.5714 | 0.4981 | 0.7058 |
| No log | 5.3333 | 464 | 0.5116 | 0.5627 | 0.5116 | 0.7153 |
| No log | 5.3563 | 466 | 0.4986 | 0.6020 | 0.4986 | 0.7061 |
| No log | 5.3793 | 468 | 0.4844 | 0.5707 | 0.4844 | 0.6960 |
| No log | 5.4023 | 470 | 0.4933 | 0.5846 | 0.4933 | 0.7024 |
| No log | 5.4253 | 472 | 0.4941 | 0.5782 | 0.4941 | 0.7030 |
| No log | 5.4483 | 474 | 0.5000 | 0.5703 | 0.5000 | 0.7071 |
| No log | 5.4713 | 476 | 0.5149 | 0.4964 | 0.5149 | 0.7176 |
| No log | 5.4943 | 478 | 0.5523 | 0.5271 | 0.5523 | 0.7432 |
| No log | 5.5172 | 480 | 0.6254 | 0.4978 | 0.6254 | 0.7908 |
| No log | 5.5402 | 482 | 0.6227 | 0.4978 | 0.6227 | 0.7891 |
| No log | 5.5632 | 484 | 0.5531 | 0.5271 | 0.5531 | 0.7437 |
| No log | 5.5862 | 486 | 0.5170 | 0.5306 | 0.5170 | 0.7191 |
| No log | 5.6092 | 488 | 0.5161 | 0.5472 | 0.5161 | 0.7184 |
| No log | 5.6322 | 490 | 0.5329 | 0.5271 | 0.5329 | 0.7300 |
| No log | 5.6552 | 492 | 0.5345 | 0.5349 | 0.5345 | 0.7311 |
| No log | 5.6782 | 494 | 0.5210 | 0.5111 | 0.5210 | 0.7218 |
| No log | 5.7011 | 496 | 0.5065 | 0.5151 | 0.5065 | 0.7117 |
| No log | 5.7241 | 498 | 0.5001 | 0.5250 | 0.5001 | 0.7072 |
| 0.3558 | 5.7471 | 500 | 0.5217 | 0.4595 | 0.5217 | 0.7223 |
| 0.3558 | 5.7701 | 502 | 0.5491 | 0.4997 | 0.5491 | 0.7410 |
| 0.3558 | 5.7931 | 504 | 0.5212 | 0.4832 | 0.5212 | 0.7219 |
| 0.3558 | 5.8161 | 506 | 0.4967 | 0.5003 | 0.4967 | 0.7048 |
| 0.3558 | 5.8391 | 508 | 0.4991 | 0.5228 | 0.4991 | 0.7065 |
| 0.3558 | 5.8621 | 510 | 0.5058 | 0.4484 | 0.5058 | 0.7112 |
| 0.3558 | 5.8851 | 512 | 0.5151 | 0.4349 | 0.5151 | 0.7177 |
| 0.3558 | 5.9080 | 514 | 0.5033 | 0.5075 | 0.5033 | 0.7095 |
| 0.3558 | 5.9310 | 516 | 0.5141 | 0.5349 | 0.5141 | 0.7170 |
| 0.3558 | 5.9540 | 518 | 0.5950 | 0.4815 | 0.5950 | 0.7714 |
| 0.3558 | 5.9770 | 520 | 0.6000 | 0.4905 | 0.6000 | 0.7746 |
| 0.3558 | 6.0 | 522 | 0.5480 | 0.5349 | 0.5480 | 0.7403 |
| 0.3558 | 6.0230 | 524 | 0.5282 | 0.5349 | 0.5282 | 0.7268 |
| 0.3558 | 6.0460 | 526 | 0.5272 | 0.5349 | 0.5272 | 0.7261 |
| 0.3558 | 6.0690 | 528 | 0.5487 | 0.4824 | 0.5487 | 0.7408 |
| 0.3558 | 6.0920 | 530 | 0.5594 | 0.4824 | 0.5594 | 0.7479 |
| 0.3558 | 6.1149 | 532 | 0.5444 | 0.5349 | 0.5444 | 0.7379 |
| 0.3558 | 6.1379 | 534 | 0.5096 | 0.5386 | 0.5096 | 0.7138 |
| 0.3558 | 6.1609 | 536 | 0.5093 | 0.4795 | 0.5093 | 0.7137 |
| 0.3558 | 6.1839 | 538 | 0.5123 | 0.4795 | 0.5123 | 0.7157 |
| 0.3558 | 6.2069 | 540 | 0.5014 | 0.5656 | 0.5014 | 0.7081 |
| 0.3558 | 6.2299 | 542 | 0.5006 | 0.5505 | 0.5006 | 0.7076 |
| 0.3558 | 6.2529 | 544 | 0.5038 | 0.5076 | 0.5038 | 0.7098 |
| 0.3558 | 6.2759 | 546 | 0.5100 | 0.4463 | 0.5100 | 0.7141 |
| 0.3558 | 6.2989 | 548 | 0.5166 | 0.5309 | 0.5166 | 0.7188 |
| 0.3558 | 6.3218 | 550 | 0.5271 | 0.5209 | 0.5271 | 0.7260 |
| 0.3558 | 6.3448 | 552 | 0.5249 | 0.5228 | 0.5249 | 0.7245 |
| 0.3558 | 6.3678 | 554 | 0.5319 | 0.5092 | 0.5319 | 0.7293 |
| 0.3558 | 6.3908 | 556 | 0.5943 | 0.4527 | 0.5943 | 0.7709 |
| 0.3558 | 6.4138 | 558 | 0.6213 | 0.4492 | 0.6213 | 0.7882 |
| 0.3558 | 6.4368 | 560 | 0.5783 | 0.4980 | 0.5783 | 0.7604 |
| 0.3558 | 6.4598 | 562 | 0.5542 | 0.5589 | 0.5542 | 0.7444 |
| 0.3558 | 6.4828 | 564 | 0.5715 | 0.4966 | 0.5715 | 0.7559 |
| 0.3558 | 6.5057 | 566 | 0.6069 | 0.5158 | 0.6069 | 0.7790 |
| 0.3558 | 6.5287 | 568 | 0.5979 | 0.4824 | 0.5979 | 0.7733 |
| 0.3558 | 6.5517 | 570 | 0.6054 | 0.4731 | 0.6054 | 0.7781 |
| 0.3558 | 6.5747 | 572 | 0.6081 | 0.4731 | 0.6081 | 0.7798 |
| 0.3558 | 6.5977 | 574 | 0.5890 | 0.4824 | 0.5890 | 0.7675 |
| 0.3558 | 6.6207 | 576 | 0.5684 | 0.4774 | 0.5684 | 0.7539 |
| 0.3558 | 6.6437 | 578 | 0.5750 | 0.4774 | 0.5750 | 0.7583 |
| 0.3558 | 6.6667 | 580 | 0.5681 | 0.4243 | 0.5681 | 0.7537 |
| 0.3558 | 6.6897 | 582 | 0.5826 | 0.3950 | 0.5826 | 0.7633 |
| 0.3558 | 6.7126 | 584 | 0.5774 | 0.3387 | 0.5774 | 0.7598 |
| 0.3558 | 6.7356 | 586 | 0.5580 | 0.3701 | 0.5580 | 0.7470 |
| 0.3558 | 6.7586 | 588 | 0.5480 | 0.3649 | 0.5480 | 0.7403 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02