Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_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_k10_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_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_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: 0.9903
- Qwk: 0.5525
- Mse: 0.9903
- Rmse: 0.9952
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 | 0.0392 | 2 | 5.3450 | -0.0339 | 5.3450 | 2.3119 |
| No log | 0.0784 | 4 | 3.1856 | 0.0686 | 3.1856 | 1.7848 |
| No log | 0.1176 | 6 | 2.6541 | -0.1425 | 2.6541 | 1.6291 |
| No log | 0.1569 | 8 | 2.8760 | -0.1542 | 2.8760 | 1.6959 |
| No log | 0.1961 | 10 | 2.1797 | -0.1771 | 2.1797 | 1.4764 |
| No log | 0.2353 | 12 | 1.4761 | -0.0203 | 1.4761 | 1.2149 |
| No log | 0.2745 | 14 | 1.4943 | 0.0187 | 1.4943 | 1.2224 |
| No log | 0.3137 | 16 | 1.5722 | -0.0420 | 1.5722 | 1.2539 |
| No log | 0.3529 | 18 | 1.2870 | 0.1828 | 1.2870 | 1.1345 |
| No log | 0.3922 | 20 | 1.2289 | 0.1597 | 1.2289 | 1.1086 |
| No log | 0.4314 | 22 | 1.2057 | 0.1944 | 1.2057 | 1.0980 |
| No log | 0.4706 | 24 | 1.1903 | 0.2317 | 1.1903 | 1.0910 |
| No log | 0.5098 | 26 | 1.2386 | 0.2642 | 1.2386 | 1.1129 |
| No log | 0.5490 | 28 | 1.4388 | -0.0385 | 1.4388 | 1.1995 |
| No log | 0.5882 | 30 | 1.4212 | 0.0234 | 1.4212 | 1.1922 |
| No log | 0.6275 | 32 | 1.3175 | 0.1791 | 1.3175 | 1.1478 |
| No log | 0.6667 | 34 | 1.2633 | 0.1771 | 1.2633 | 1.1240 |
| No log | 0.7059 | 36 | 1.3054 | 0.0185 | 1.3054 | 1.1426 |
| No log | 0.7451 | 38 | 1.2632 | 0.0417 | 1.2632 | 1.1239 |
| No log | 0.7843 | 40 | 1.2320 | 0.1721 | 1.2320 | 1.1100 |
| No log | 0.8235 | 42 | 1.1956 | 0.2251 | 1.1956 | 1.0934 |
| No log | 0.8627 | 44 | 1.1849 | 0.2611 | 1.1849 | 1.0885 |
| No log | 0.9020 | 46 | 1.2808 | 0.2087 | 1.2808 | 1.1317 |
| No log | 0.9412 | 48 | 1.2790 | 0.2725 | 1.2790 | 1.1309 |
| No log | 0.9804 | 50 | 1.1077 | 0.2753 | 1.1077 | 1.0525 |
| No log | 1.0196 | 52 | 1.0958 | 0.2555 | 1.0958 | 1.0468 |
| No log | 1.0588 | 54 | 1.1027 | 0.2386 | 1.1027 | 1.0501 |
| No log | 1.0980 | 56 | 1.1416 | 0.2302 | 1.1416 | 1.0685 |
| No log | 1.1373 | 58 | 1.0296 | 0.2587 | 1.0296 | 1.0147 |
| No log | 1.1765 | 60 | 0.9916 | 0.3646 | 0.9916 | 0.9958 |
| No log | 1.2157 | 62 | 0.9543 | 0.3513 | 0.9543 | 0.9769 |
| No log | 1.2549 | 64 | 1.0857 | 0.4045 | 1.0857 | 1.0420 |
| No log | 1.2941 | 66 | 0.9564 | 0.4202 | 0.9564 | 0.9780 |
| No log | 1.3333 | 68 | 0.9181 | 0.4616 | 0.9181 | 0.9582 |
| No log | 1.3725 | 70 | 1.0960 | 0.4595 | 1.0960 | 1.0469 |
| No log | 1.4118 | 72 | 1.0879 | 0.4883 | 1.0879 | 1.0430 |
| No log | 1.4510 | 74 | 0.9228 | 0.5068 | 0.9228 | 0.9607 |
| No log | 1.4902 | 76 | 0.8688 | 0.4218 | 0.8688 | 0.9321 |
| No log | 1.5294 | 78 | 0.8911 | 0.4217 | 0.8911 | 0.9440 |
| No log | 1.5686 | 80 | 1.0829 | 0.4594 | 1.0829 | 1.0406 |
| No log | 1.6078 | 82 | 1.1640 | 0.4554 | 1.1640 | 1.0789 |
| No log | 1.6471 | 84 | 1.0091 | 0.5090 | 1.0091 | 1.0045 |
| No log | 1.6863 | 86 | 0.8618 | 0.5657 | 0.8618 | 0.9283 |
| No log | 1.7255 | 88 | 0.9865 | 0.5402 | 0.9865 | 0.9932 |
| No log | 1.7647 | 90 | 1.3667 | 0.4267 | 1.3667 | 1.1690 |
| No log | 1.8039 | 92 | 1.2780 | 0.4294 | 1.2780 | 1.1305 |
| No log | 1.8431 | 94 | 1.1872 | 0.4898 | 1.1872 | 1.0896 |
| No log | 1.8824 | 96 | 1.0717 | 0.5028 | 1.0717 | 1.0352 |
| No log | 1.9216 | 98 | 1.0612 | 0.5120 | 1.0612 | 1.0302 |
| No log | 1.9608 | 100 | 1.2914 | 0.4613 | 1.2914 | 1.1364 |
| No log | 2.0 | 102 | 1.4624 | 0.4080 | 1.4624 | 1.2093 |
| No log | 2.0392 | 104 | 1.2683 | 0.4586 | 1.2683 | 1.1262 |
| No log | 2.0784 | 106 | 1.0204 | 0.5593 | 1.0204 | 1.0102 |
| No log | 2.1176 | 108 | 0.9580 | 0.5926 | 0.9580 | 0.9788 |
| No log | 2.1569 | 110 | 1.2618 | 0.4388 | 1.2618 | 1.1233 |
| No log | 2.1961 | 112 | 1.4096 | 0.4111 | 1.4096 | 1.1873 |
| No log | 2.2353 | 114 | 1.3078 | 0.4337 | 1.3078 | 1.1436 |
| No log | 2.2745 | 116 | 1.1917 | 0.4715 | 1.1917 | 1.0916 |
| No log | 2.3137 | 118 | 1.1472 | 0.4710 | 1.1472 | 1.0711 |
| No log | 2.3529 | 120 | 1.1442 | 0.4948 | 1.1442 | 1.0697 |
| No log | 2.3922 | 122 | 1.0679 | 0.5092 | 1.0679 | 1.0334 |
| No log | 2.4314 | 124 | 0.9696 | 0.5635 | 0.9696 | 0.9847 |
| No log | 2.4706 | 126 | 0.8417 | 0.6326 | 0.8417 | 0.9175 |
| No log | 2.5098 | 128 | 0.8678 | 0.6171 | 0.8678 | 0.9316 |
| No log | 2.5490 | 130 | 0.9609 | 0.5705 | 0.9609 | 0.9803 |
| No log | 2.5882 | 132 | 1.0085 | 0.5644 | 1.0085 | 1.0042 |
| No log | 2.6275 | 134 | 0.8555 | 0.6559 | 0.8555 | 0.9250 |
| No log | 2.6667 | 136 | 0.9333 | 0.6065 | 0.9333 | 0.9661 |
| No log | 2.7059 | 138 | 1.0565 | 0.5134 | 1.0565 | 1.0279 |
| No log | 2.7451 | 140 | 0.7754 | 0.6416 | 0.7754 | 0.8806 |
| No log | 2.7843 | 142 | 0.8227 | 0.5655 | 0.8227 | 0.9070 |
| No log | 2.8235 | 144 | 0.9507 | 0.5559 | 0.9507 | 0.9750 |
| No log | 2.8627 | 146 | 0.7417 | 0.5782 | 0.7417 | 0.8612 |
| No log | 2.9020 | 148 | 0.7943 | 0.5922 | 0.7943 | 0.8912 |
| No log | 2.9412 | 150 | 1.1226 | 0.4917 | 1.1226 | 1.0595 |
| No log | 2.9804 | 152 | 0.9930 | 0.5350 | 0.9930 | 0.9965 |
| No log | 3.0196 | 154 | 0.7476 | 0.5394 | 0.7476 | 0.8646 |
| No log | 3.0588 | 156 | 0.7341 | 0.5406 | 0.7341 | 0.8568 |
| No log | 3.0980 | 158 | 0.7185 | 0.6148 | 0.7185 | 0.8476 |
| No log | 3.1373 | 160 | 0.7592 | 0.6253 | 0.7592 | 0.8713 |
| No log | 3.1765 | 162 | 0.8172 | 0.6167 | 0.8172 | 0.9040 |
| No log | 3.2157 | 164 | 0.9894 | 0.5458 | 0.9894 | 0.9947 |
| No log | 3.2549 | 166 | 1.2111 | 0.5214 | 1.2111 | 1.1005 |
| No log | 3.2941 | 168 | 1.3035 | 0.4707 | 1.3035 | 1.1417 |
| No log | 3.3333 | 170 | 0.9766 | 0.5619 | 0.9766 | 0.9882 |
| No log | 3.3725 | 172 | 0.7671 | 0.6215 | 0.7671 | 0.8758 |
| No log | 3.4118 | 174 | 0.7660 | 0.5434 | 0.7660 | 0.8752 |
| No log | 3.4510 | 176 | 0.8401 | 0.6134 | 0.8401 | 0.9166 |
| No log | 3.4902 | 178 | 1.0186 | 0.5454 | 1.0186 | 1.0092 |
| No log | 3.5294 | 180 | 0.8797 | 0.6155 | 0.8797 | 0.9379 |
| No log | 3.5686 | 182 | 0.7378 | 0.6427 | 0.7378 | 0.8590 |
| No log | 3.6078 | 184 | 0.7279 | 0.6562 | 0.7279 | 0.8532 |
| No log | 3.6471 | 186 | 0.7725 | 0.6460 | 0.7725 | 0.8789 |
| No log | 3.6863 | 188 | 0.7566 | 0.6684 | 0.7566 | 0.8698 |
| No log | 3.7255 | 190 | 0.8097 | 0.6577 | 0.8097 | 0.8999 |
| No log | 3.7647 | 192 | 0.7665 | 0.6735 | 0.7665 | 0.8755 |
| No log | 3.8039 | 194 | 0.7543 | 0.6412 | 0.7543 | 0.8685 |
| No log | 3.8431 | 196 | 0.8050 | 0.6042 | 0.8050 | 0.8972 |
| No log | 3.8824 | 198 | 0.7687 | 0.5741 | 0.7687 | 0.8768 |
| No log | 3.9216 | 200 | 0.7221 | 0.5934 | 0.7221 | 0.8498 |
| No log | 3.9608 | 202 | 0.6935 | 0.6436 | 0.6935 | 0.8328 |
| No log | 4.0 | 204 | 0.7541 | 0.6563 | 0.7541 | 0.8684 |
| No log | 4.0392 | 206 | 0.9836 | 0.5471 | 0.9836 | 0.9917 |
| No log | 4.0784 | 208 | 1.1353 | 0.4936 | 1.1353 | 1.0655 |
| No log | 4.1176 | 210 | 0.9098 | 0.5867 | 0.9098 | 0.9538 |
| No log | 4.1569 | 212 | 0.9055 | 0.5921 | 0.9055 | 0.9516 |
| No log | 4.1961 | 214 | 0.9967 | 0.5514 | 0.9967 | 0.9984 |
| No log | 4.2353 | 216 | 0.9188 | 0.6262 | 0.9188 | 0.9586 |
| No log | 4.2745 | 218 | 0.9050 | 0.6262 | 0.9050 | 0.9513 |
| No log | 4.3137 | 220 | 1.0677 | 0.5099 | 1.0677 | 1.0333 |
| No log | 4.3529 | 222 | 1.2555 | 0.4550 | 1.2555 | 1.1205 |
| No log | 4.3922 | 224 | 0.9734 | 0.5910 | 0.9734 | 0.9866 |
| No log | 4.4314 | 226 | 0.8451 | 0.6135 | 0.8451 | 0.9193 |
| No log | 4.4706 | 228 | 0.8700 | 0.6070 | 0.8700 | 0.9327 |
| No log | 4.5098 | 230 | 1.0977 | 0.4938 | 1.0977 | 1.0477 |
| No log | 4.5490 | 232 | 1.1627 | 0.4904 | 1.1627 | 1.0783 |
| No log | 4.5882 | 234 | 1.0265 | 0.5301 | 1.0265 | 1.0131 |
| No log | 4.6275 | 236 | 0.9693 | 0.5364 | 0.9693 | 0.9845 |
| No log | 4.6667 | 238 | 1.2357 | 0.4579 | 1.2357 | 1.1116 |
| No log | 4.7059 | 240 | 1.2925 | 0.4433 | 1.2925 | 1.1369 |
| No log | 4.7451 | 242 | 1.1149 | 0.4929 | 1.1149 | 1.0559 |
| No log | 4.7843 | 244 | 0.9545 | 0.5903 | 0.9545 | 0.9770 |
| No log | 4.8235 | 246 | 0.7889 | 0.6654 | 0.7889 | 0.8882 |
| No log | 4.8627 | 248 | 0.8527 | 0.6215 | 0.8527 | 0.9234 |
| No log | 4.9020 | 250 | 1.0643 | 0.5293 | 1.0643 | 1.0316 |
| No log | 4.9412 | 252 | 1.0085 | 0.5623 | 1.0085 | 1.0042 |
| No log | 4.9804 | 254 | 0.8505 | 0.6238 | 0.8505 | 0.9222 |
| No log | 5.0196 | 256 | 0.7784 | 0.6623 | 0.7784 | 0.8823 |
| No log | 5.0588 | 258 | 0.7307 | 0.6491 | 0.7307 | 0.8548 |
| No log | 5.0980 | 260 | 0.7227 | 0.6651 | 0.7227 | 0.8501 |
| No log | 5.1373 | 262 | 0.7887 | 0.6468 | 0.7887 | 0.8881 |
| No log | 5.1765 | 264 | 0.8016 | 0.6532 | 0.8016 | 0.8953 |
| No log | 5.2157 | 266 | 0.7707 | 0.6560 | 0.7707 | 0.8779 |
| No log | 5.2549 | 268 | 0.7043 | 0.6449 | 0.7043 | 0.8392 |
| No log | 5.2941 | 270 | 0.6928 | 0.6134 | 0.6928 | 0.8323 |
| No log | 5.3333 | 272 | 0.7023 | 0.6411 | 0.7023 | 0.8380 |
| No log | 5.3725 | 274 | 0.7912 | 0.6533 | 0.7912 | 0.8895 |
| No log | 5.4118 | 276 | 0.8049 | 0.6505 | 0.8049 | 0.8972 |
| No log | 5.4510 | 278 | 0.7257 | 0.6837 | 0.7257 | 0.8519 |
| No log | 5.4902 | 280 | 0.7452 | 0.6569 | 0.7452 | 0.8632 |
| No log | 5.5294 | 282 | 0.7554 | 0.6742 | 0.7554 | 0.8691 |
| No log | 5.5686 | 284 | 0.7629 | 0.6475 | 0.7629 | 0.8734 |
| No log | 5.6078 | 286 | 0.6886 | 0.6996 | 0.6886 | 0.8298 |
| No log | 5.6471 | 288 | 0.7112 | 0.7100 | 0.7112 | 0.8433 |
| No log | 5.6863 | 290 | 0.7689 | 0.6787 | 0.7689 | 0.8769 |
| No log | 5.7255 | 292 | 0.8425 | 0.6194 | 0.8425 | 0.9179 |
| No log | 5.7647 | 294 | 1.0685 | 0.5456 | 1.0685 | 1.0337 |
| No log | 5.8039 | 296 | 1.0085 | 0.5657 | 1.0085 | 1.0042 |
| No log | 5.8431 | 298 | 0.7970 | 0.6481 | 0.7970 | 0.8927 |
| No log | 5.8824 | 300 | 0.8151 | 0.6481 | 0.8151 | 0.9029 |
| No log | 5.9216 | 302 | 0.8550 | 0.5979 | 0.8550 | 0.9247 |
| No log | 5.9608 | 304 | 1.0234 | 0.5352 | 1.0234 | 1.0116 |
| No log | 6.0 | 306 | 0.8764 | 0.5786 | 0.8764 | 0.9362 |
| No log | 6.0392 | 308 | 0.7198 | 0.6175 | 0.7198 | 0.8484 |
| No log | 6.0784 | 310 | 0.6892 | 0.6197 | 0.6892 | 0.8302 |
| No log | 6.1176 | 312 | 0.7106 | 0.6703 | 0.7106 | 0.8430 |
| No log | 6.1569 | 314 | 1.1422 | 0.5190 | 1.1422 | 1.0687 |
| No log | 6.1961 | 316 | 1.4263 | 0.4701 | 1.4263 | 1.1943 |
| No log | 6.2353 | 318 | 1.1583 | 0.5220 | 1.1583 | 1.0762 |
| No log | 6.2745 | 320 | 0.7611 | 0.6963 | 0.7611 | 0.8724 |
| No log | 6.3137 | 322 | 0.7173 | 0.6269 | 0.7173 | 0.8469 |
| No log | 6.3529 | 324 | 0.7243 | 0.6389 | 0.7243 | 0.8511 |
| No log | 6.3922 | 326 | 0.8499 | 0.6371 | 0.8499 | 0.9219 |
| No log | 6.4314 | 328 | 1.1879 | 0.4284 | 1.1879 | 1.0899 |
| No log | 6.4706 | 330 | 1.2466 | 0.4367 | 1.2466 | 1.1165 |
| No log | 6.5098 | 332 | 1.0367 | 0.5405 | 1.0367 | 1.0182 |
| No log | 6.5490 | 334 | 0.7788 | 0.6199 | 0.7788 | 0.8825 |
| No log | 6.5882 | 336 | 0.7260 | 0.5824 | 0.7260 | 0.8521 |
| No log | 6.6275 | 338 | 0.7337 | 0.5871 | 0.7337 | 0.8566 |
| No log | 6.6667 | 340 | 0.8404 | 0.6196 | 0.8404 | 0.9167 |
| No log | 6.7059 | 342 | 1.0654 | 0.5194 | 1.0654 | 1.0322 |
| No log | 6.7451 | 344 | 1.0899 | 0.5000 | 1.0899 | 1.0440 |
| No log | 6.7843 | 346 | 0.9468 | 0.5731 | 0.9468 | 0.9731 |
| No log | 6.8235 | 348 | 0.7628 | 0.6210 | 0.7628 | 0.8734 |
| No log | 6.8627 | 350 | 0.7389 | 0.6335 | 0.7389 | 0.8596 |
| No log | 6.9020 | 352 | 0.7408 | 0.5708 | 0.7408 | 0.8607 |
| No log | 6.9412 | 354 | 0.7673 | 0.5695 | 0.7673 | 0.8760 |
| No log | 6.9804 | 356 | 0.8332 | 0.5985 | 0.8332 | 0.9128 |
| No log | 7.0196 | 358 | 0.8545 | 0.5758 | 0.8545 | 0.9244 |
| No log | 7.0588 | 360 | 0.8124 | 0.5985 | 0.8124 | 0.9013 |
| No log | 7.0980 | 362 | 0.7675 | 0.5934 | 0.7675 | 0.8761 |
| No log | 7.1373 | 364 | 0.7750 | 0.5934 | 0.7750 | 0.8803 |
| No log | 7.1765 | 366 | 0.8007 | 0.6036 | 0.8007 | 0.8948 |
| No log | 7.2157 | 368 | 0.8231 | 0.5547 | 0.8231 | 0.9072 |
| No log | 7.2549 | 370 | 0.7826 | 0.5274 | 0.7826 | 0.8847 |
| No log | 7.2941 | 372 | 0.7836 | 0.4580 | 0.7836 | 0.8852 |
| No log | 7.3333 | 374 | 0.7739 | 0.5274 | 0.7739 | 0.8797 |
| No log | 7.3725 | 376 | 0.8761 | 0.5493 | 0.8761 | 0.9360 |
| No log | 7.4118 | 378 | 0.9999 | 0.5626 | 0.9999 | 0.9999 |
| No log | 7.4510 | 380 | 0.9041 | 0.6003 | 0.9041 | 0.9508 |
| No log | 7.4902 | 382 | 0.6887 | 0.6695 | 0.6887 | 0.8299 |
| No log | 7.5294 | 384 | 0.6551 | 0.6700 | 0.6551 | 0.8094 |
| No log | 7.5686 | 386 | 0.6707 | 0.6721 | 0.6707 | 0.8190 |
| No log | 7.6078 | 388 | 0.7213 | 0.6780 | 0.7213 | 0.8493 |
| No log | 7.6471 | 390 | 0.9541 | 0.6094 | 0.9541 | 0.9768 |
| No log | 7.6863 | 392 | 1.0528 | 0.5766 | 1.0528 | 1.0260 |
| No log | 7.7255 | 394 | 0.8772 | 0.6451 | 0.8772 | 0.9366 |
| No log | 7.7647 | 396 | 0.7044 | 0.6586 | 0.7044 | 0.8393 |
| No log | 7.8039 | 398 | 0.6805 | 0.6507 | 0.6805 | 0.8249 |
| No log | 7.8431 | 400 | 0.6854 | 0.6410 | 0.6854 | 0.8279 |
| No log | 7.8824 | 402 | 0.7608 | 0.6575 | 0.7608 | 0.8723 |
| No log | 7.9216 | 404 | 0.8646 | 0.6092 | 0.8646 | 0.9298 |
| No log | 7.9608 | 406 | 0.8174 | 0.6371 | 0.8174 | 0.9041 |
| No log | 8.0 | 408 | 0.7641 | 0.6463 | 0.7641 | 0.8741 |
| No log | 8.0392 | 410 | 0.7487 | 0.6734 | 0.7487 | 0.8653 |
| No log | 8.0784 | 412 | 0.7867 | 0.6431 | 0.7867 | 0.8870 |
| No log | 8.1176 | 414 | 0.8034 | 0.6373 | 0.8034 | 0.8963 |
| No log | 8.1569 | 416 | 0.7331 | 0.6364 | 0.7331 | 0.8562 |
| No log | 8.1961 | 418 | 0.7461 | 0.6657 | 0.7461 | 0.8638 |
| No log | 8.2353 | 420 | 0.7644 | 0.6331 | 0.7644 | 0.8743 |
| No log | 8.2745 | 422 | 0.7187 | 0.6721 | 0.7187 | 0.8478 |
| No log | 8.3137 | 424 | 0.7556 | 0.6336 | 0.7556 | 0.8693 |
| No log | 8.3529 | 426 | 0.8696 | 0.5826 | 0.8696 | 0.9325 |
| No log | 8.3922 | 428 | 0.8484 | 0.5827 | 0.8484 | 0.9211 |
| No log | 8.4314 | 430 | 0.8006 | 0.5801 | 0.8006 | 0.8948 |
| No log | 8.4706 | 432 | 0.8000 | 0.5945 | 0.8000 | 0.8944 |
| No log | 8.5098 | 434 | 0.7947 | 0.5945 | 0.7947 | 0.8914 |
| No log | 8.5490 | 436 | 0.7969 | 0.5787 | 0.7969 | 0.8927 |
| No log | 8.5882 | 438 | 0.8359 | 0.5987 | 0.8359 | 0.9143 |
| No log | 8.6275 | 440 | 0.7449 | 0.6124 | 0.7449 | 0.8631 |
| No log | 8.6667 | 442 | 0.7201 | 0.6469 | 0.7201 | 0.8486 |
| No log | 8.7059 | 444 | 0.8135 | 0.5947 | 0.8135 | 0.9019 |
| No log | 8.7451 | 446 | 0.8853 | 0.5775 | 0.8853 | 0.9409 |
| No log | 8.7843 | 448 | 0.9908 | 0.5592 | 0.9908 | 0.9954 |
| No log | 8.8235 | 450 | 0.9448 | 0.5605 | 0.9448 | 0.9720 |
| No log | 8.8627 | 452 | 0.8564 | 0.5731 | 0.8564 | 0.9254 |
| No log | 8.9020 | 454 | 0.9245 | 0.5688 | 0.9245 | 0.9615 |
| No log | 8.9412 | 456 | 1.0530 | 0.5343 | 1.0530 | 1.0262 |
| No log | 8.9804 | 458 | 1.1600 | 0.4852 | 1.1600 | 1.0770 |
| No log | 9.0196 | 460 | 1.0854 | 0.5077 | 1.0854 | 1.0418 |
| No log | 9.0588 | 462 | 0.9770 | 0.5494 | 0.9770 | 0.9884 |
| No log | 9.0980 | 464 | 1.0154 | 0.5371 | 1.0154 | 1.0077 |
| No log | 9.1373 | 466 | 1.0891 | 0.5102 | 1.0891 | 1.0436 |
| No log | 9.1765 | 468 | 1.1439 | 0.4796 | 1.1439 | 1.0695 |
| No log | 9.2157 | 470 | 1.1176 | 0.5184 | 1.1176 | 1.0572 |
| No log | 9.2549 | 472 | 0.9528 | 0.5786 | 0.9528 | 0.9761 |
| No log | 9.2941 | 474 | 0.8234 | 0.5818 | 0.8234 | 0.9074 |
| No log | 9.3333 | 476 | 0.7708 | 0.5576 | 0.7708 | 0.8780 |
| No log | 9.3725 | 478 | 0.7493 | 0.5144 | 0.7493 | 0.8656 |
| No log | 9.4118 | 480 | 0.8169 | 0.5611 | 0.8169 | 0.9038 |
| No log | 9.4510 | 482 | 0.8267 | 0.5984 | 0.8267 | 0.9092 |
| No log | 9.4902 | 484 | 0.7328 | 0.6024 | 0.7328 | 0.8561 |
| No log | 9.5294 | 486 | 0.6887 | 0.6097 | 0.6887 | 0.8299 |
| No log | 9.5686 | 488 | 0.6919 | 0.6097 | 0.6919 | 0.8318 |
| No log | 9.6078 | 490 | 0.6959 | 0.6050 | 0.6959 | 0.8342 |
| No log | 9.6471 | 492 | 0.7178 | 0.6082 | 0.7178 | 0.8472 |
| No log | 9.6863 | 494 | 0.7040 | 0.6054 | 0.7040 | 0.8391 |
| No log | 9.7255 | 496 | 0.7076 | 0.5720 | 0.7076 | 0.8412 |
| No log | 9.7647 | 498 | 0.7679 | 0.5985 | 0.7679 | 0.8763 |
| 0.4328 | 9.8039 | 500 | 0.9241 | 0.5718 | 0.9241 | 0.9613 |
| 0.4328 | 9.8431 | 502 | 0.9628 | 0.5637 | 0.9628 | 0.9812 |
| 0.4328 | 9.8824 | 504 | 0.8717 | 0.6217 | 0.8717 | 0.9337 |
| 0.4328 | 9.9216 | 506 | 0.7576 | 0.6146 | 0.7576 | 0.8704 |
| 0.4328 | 9.9608 | 508 | 0.7284 | 0.6394 | 0.7284 | 0.8535 |
| 0.4328 | 10.0 | 510 | 0.7871 | 0.6410 | 0.7871 | 0.8872 |
| 0.4328 | 10.0392 | 512 | 0.8746 | 0.6241 | 0.8746 | 0.9352 |
| 0.4328 | 10.0784 | 514 | 0.8178 | 0.6284 | 0.8178 | 0.9043 |
| 0.4328 | 10.1176 | 516 | 0.7718 | 0.6365 | 0.7718 | 0.8785 |
| 0.4328 | 10.1569 | 518 | 0.7403 | 0.6390 | 0.7403 | 0.8604 |
| 0.4328 | 10.1961 | 520 | 0.7442 | 0.6291 | 0.7442 | 0.8627 |
| 0.4328 | 10.2353 | 522 | 0.7424 | 0.6441 | 0.7424 | 0.8616 |
| 0.4328 | 10.2745 | 524 | 0.7159 | 0.6439 | 0.7159 | 0.8461 |
| 0.4328 | 10.3137 | 526 | 0.7049 | 0.6265 | 0.7049 | 0.8396 |
| 0.4328 | 10.3529 | 528 | 0.7394 | 0.6571 | 0.7394 | 0.8599 |
| 0.4328 | 10.3922 | 530 | 0.7790 | 0.6716 | 0.7790 | 0.8826 |
| 0.4328 | 10.4314 | 532 | 0.7749 | 0.6716 | 0.7749 | 0.8803 |
| 0.4328 | 10.4706 | 534 | 0.7087 | 0.6439 | 0.7087 | 0.8419 |
| 0.4328 | 10.5098 | 536 | 0.7027 | 0.5874 | 0.7027 | 0.8383 |
| 0.4328 | 10.5490 | 538 | 0.7366 | 0.6132 | 0.7366 | 0.8582 |
| 0.4328 | 10.5882 | 540 | 0.7692 | 0.6323 | 0.7692 | 0.8771 |
| 0.4328 | 10.6275 | 542 | 0.7832 | 0.6279 | 0.7832 | 0.8850 |
| 0.4328 | 10.6667 | 544 | 0.7347 | 0.6519 | 0.7347 | 0.8572 |
| 0.4328 | 10.7059 | 546 | 0.7288 | 0.6477 | 0.7288 | 0.8537 |
| 0.4328 | 10.7451 | 548 | 0.7572 | 0.6376 | 0.7572 | 0.8701 |
| 0.4328 | 10.7843 | 550 | 0.8222 | 0.6167 | 0.8222 | 0.9067 |
| 0.4328 | 10.8235 | 552 | 1.0381 | 0.5332 | 1.0381 | 1.0189 |
| 0.4328 | 10.8627 | 554 | 1.1430 | 0.4979 | 1.1430 | 1.0691 |
| 0.4328 | 10.9020 | 556 | 1.0141 | 0.5679 | 1.0141 | 1.0070 |
| 0.4328 | 10.9412 | 558 | 0.8214 | 0.5869 | 0.8214 | 0.9063 |
| 0.4328 | 10.9804 | 560 | 0.7879 | 0.5996 | 0.7879 | 0.8877 |
| 0.4328 | 11.0196 | 562 | 0.8105 | 0.6030 | 0.8105 | 0.9003 |
| 0.4328 | 11.0588 | 564 | 1.0290 | 0.5646 | 1.0290 | 1.0144 |
| 0.4328 | 11.0980 | 566 | 1.2281 | 0.5356 | 1.2281 | 1.1082 |
| 0.4328 | 11.1373 | 568 | 1.1476 | 0.5275 | 1.1476 | 1.0713 |
| 0.4328 | 11.1765 | 570 | 0.9993 | 0.5783 | 0.9993 | 0.9997 |
| 0.4328 | 11.2157 | 572 | 1.0311 | 0.5732 | 1.0311 | 1.0155 |
| 0.4328 | 11.2549 | 574 | 0.9752 | 0.5614 | 0.9752 | 0.9875 |
| 0.4328 | 11.2941 | 576 | 1.0037 | 0.5626 | 1.0037 | 1.0019 |
| 0.4328 | 11.3333 | 578 | 1.0835 | 0.5535 | 1.0835 | 1.0409 |
| 0.4328 | 11.3725 | 580 | 1.0873 | 0.5438 | 1.0873 | 1.0427 |
| 0.4328 | 11.4118 | 582 | 0.9903 | 0.5525 | 0.9903 | 0.9952 |
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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02