Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_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_run2_AugV5_k8_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_run2_AugV5_k8_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_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: 0.8457
- Qwk: 0.6372
- Mse: 0.8457
- Rmse: 0.9196
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 | 0.0488 | 2 | 5.4968 | -0.0021 | 5.4968 | 2.3445 |
| No log | 0.0976 | 4 | 3.7689 | -0.0049 | 3.7689 | 1.9414 |
| No log | 0.1463 | 6 | 3.0383 | -0.0985 | 3.0383 | 1.7431 |
| No log | 0.1951 | 8 | 2.3807 | -0.0787 | 2.3807 | 1.5429 |
| No log | 0.2439 | 10 | 1.3746 | 0.2139 | 1.3746 | 1.1724 |
| No log | 0.2927 | 12 | 1.3431 | 0.2309 | 1.3431 | 1.1589 |
| No log | 0.3415 | 14 | 1.3839 | 0.1890 | 1.3839 | 1.1764 |
| No log | 0.3902 | 16 | 1.0996 | 0.2348 | 1.0996 | 1.0486 |
| No log | 0.4390 | 18 | 1.0523 | 0.3037 | 1.0523 | 1.0258 |
| No log | 0.4878 | 20 | 0.9840 | 0.3209 | 0.9840 | 0.9920 |
| No log | 0.5366 | 22 | 0.9795 | 0.3467 | 0.9795 | 0.9897 |
| No log | 0.5854 | 24 | 1.3365 | 0.2455 | 1.3365 | 1.1561 |
| No log | 0.6341 | 26 | 1.5446 | 0.1912 | 1.5446 | 1.2428 |
| No log | 0.6829 | 28 | 1.1659 | 0.3135 | 1.1659 | 1.0798 |
| No log | 0.7317 | 30 | 0.9014 | 0.4253 | 0.9014 | 0.9494 |
| No log | 0.7805 | 32 | 0.9061 | 0.3512 | 0.9061 | 0.9519 |
| No log | 0.8293 | 34 | 0.9050 | 0.3650 | 0.9050 | 0.9513 |
| No log | 0.8780 | 36 | 0.9980 | 0.3856 | 0.9980 | 0.9990 |
| No log | 0.9268 | 38 | 1.0722 | 0.3303 | 1.0722 | 1.0355 |
| No log | 0.9756 | 40 | 0.9657 | 0.4129 | 0.9657 | 0.9827 |
| No log | 1.0244 | 42 | 0.9846 | 0.4599 | 0.9846 | 0.9923 |
| No log | 1.0732 | 44 | 0.9870 | 0.4610 | 0.9870 | 0.9935 |
| No log | 1.1220 | 46 | 0.9688 | 0.4248 | 0.9688 | 0.9843 |
| No log | 1.1707 | 48 | 1.0428 | 0.4750 | 1.0428 | 1.0212 |
| No log | 1.2195 | 50 | 1.2541 | 0.3688 | 1.2541 | 1.1199 |
| No log | 1.2683 | 52 | 1.1471 | 0.4524 | 1.1471 | 1.0710 |
| No log | 1.3171 | 54 | 0.8982 | 0.6164 | 0.8982 | 0.9477 |
| No log | 1.3659 | 56 | 1.1310 | 0.3970 | 1.1310 | 1.0635 |
| No log | 1.4146 | 58 | 1.1062 | 0.4092 | 1.1062 | 1.0518 |
| No log | 1.4634 | 60 | 0.8672 | 0.5941 | 0.8672 | 0.9312 |
| No log | 1.5122 | 62 | 1.0456 | 0.5177 | 1.0456 | 1.0225 |
| No log | 1.5610 | 64 | 1.3540 | 0.4099 | 1.3540 | 1.1636 |
| No log | 1.6098 | 66 | 1.3911 | 0.4199 | 1.3911 | 1.1795 |
| No log | 1.6585 | 68 | 1.0263 | 0.4913 | 1.0263 | 1.0131 |
| No log | 1.7073 | 70 | 0.7949 | 0.5955 | 0.7949 | 0.8916 |
| No log | 1.7561 | 72 | 0.8124 | 0.5264 | 0.8124 | 0.9013 |
| No log | 1.8049 | 74 | 0.9879 | 0.4794 | 0.9879 | 0.9939 |
| No log | 1.8537 | 76 | 1.0148 | 0.4741 | 1.0148 | 1.0074 |
| No log | 1.9024 | 78 | 1.0371 | 0.4830 | 1.0371 | 1.0184 |
| No log | 1.9512 | 80 | 0.9970 | 0.4798 | 0.9970 | 0.9985 |
| No log | 2.0 | 82 | 0.9240 | 0.5294 | 0.9240 | 0.9612 |
| No log | 2.0488 | 84 | 0.8730 | 0.5188 | 0.8730 | 0.9343 |
| No log | 2.0976 | 86 | 0.8666 | 0.5322 | 0.8666 | 0.9309 |
| No log | 2.1463 | 88 | 0.9163 | 0.4567 | 0.9163 | 0.9572 |
| No log | 2.1951 | 90 | 0.9466 | 0.4763 | 0.9466 | 0.9729 |
| No log | 2.2439 | 92 | 0.8207 | 0.5902 | 0.8207 | 0.9059 |
| No log | 2.2927 | 94 | 0.9160 | 0.5715 | 0.9160 | 0.9571 |
| No log | 2.3415 | 96 | 0.9770 | 0.5453 | 0.9770 | 0.9884 |
| No log | 2.3902 | 98 | 0.9191 | 0.5571 | 0.9191 | 0.9587 |
| No log | 2.4390 | 100 | 0.9119 | 0.5664 | 0.9119 | 0.9550 |
| No log | 2.4878 | 102 | 0.9395 | 0.5359 | 0.9395 | 0.9693 |
| No log | 2.5366 | 104 | 0.9079 | 0.6039 | 0.9079 | 0.9528 |
| No log | 2.5854 | 106 | 1.0120 | 0.5727 | 1.0120 | 1.0060 |
| No log | 2.6341 | 108 | 1.0512 | 0.5542 | 1.0512 | 1.0253 |
| No log | 2.6829 | 110 | 1.0107 | 0.5367 | 1.0108 | 1.0054 |
| No log | 2.7317 | 112 | 0.9432 | 0.5653 | 0.9432 | 0.9712 |
| No log | 2.7805 | 114 | 0.8948 | 0.5912 | 0.8948 | 0.9459 |
| No log | 2.8293 | 116 | 0.8476 | 0.5939 | 0.8476 | 0.9206 |
| No log | 2.8780 | 118 | 0.8132 | 0.5814 | 0.8132 | 0.9018 |
| No log | 2.9268 | 120 | 0.8172 | 0.6275 | 0.8172 | 0.9040 |
| No log | 2.9756 | 122 | 0.8551 | 0.6315 | 0.8551 | 0.9247 |
| No log | 3.0244 | 124 | 0.7824 | 0.6501 | 0.7824 | 0.8845 |
| No log | 3.0732 | 126 | 0.7917 | 0.5837 | 0.7917 | 0.8898 |
| No log | 3.1220 | 128 | 0.7926 | 0.5950 | 0.7926 | 0.8903 |
| No log | 3.1707 | 130 | 0.8191 | 0.6062 | 0.8191 | 0.9051 |
| No log | 3.2195 | 132 | 0.8431 | 0.6368 | 0.8431 | 0.9182 |
| No log | 3.2683 | 134 | 0.8747 | 0.6467 | 0.8747 | 0.9353 |
| No log | 3.3171 | 136 | 0.8910 | 0.6455 | 0.8910 | 0.9439 |
| No log | 3.3659 | 138 | 0.8912 | 0.5742 | 0.8912 | 0.9440 |
| No log | 3.4146 | 140 | 0.9301 | 0.5362 | 0.9301 | 0.9644 |
| No log | 3.4634 | 142 | 0.8871 | 0.5380 | 0.8871 | 0.9418 |
| No log | 3.5122 | 144 | 0.9112 | 0.5365 | 0.9112 | 0.9546 |
| No log | 3.5610 | 146 | 0.9149 | 0.5331 | 0.9149 | 0.9565 |
| No log | 3.6098 | 148 | 0.9212 | 0.5047 | 0.9212 | 0.9598 |
| No log | 3.6585 | 150 | 1.0132 | 0.4845 | 1.0132 | 1.0066 |
| No log | 3.7073 | 152 | 1.0996 | 0.4901 | 1.0996 | 1.0486 |
| No log | 3.7561 | 154 | 0.9920 | 0.5038 | 0.9920 | 0.9960 |
| No log | 3.8049 | 156 | 0.9299 | 0.5603 | 0.9299 | 0.9643 |
| No log | 3.8537 | 158 | 0.9103 | 0.5987 | 0.9103 | 0.9541 |
| No log | 3.9024 | 160 | 0.9146 | 0.5987 | 0.9146 | 0.9564 |
| No log | 3.9512 | 162 | 0.9072 | 0.5867 | 0.9072 | 0.9525 |
| No log | 4.0 | 164 | 0.9241 | 0.6142 | 0.9241 | 0.9613 |
| No log | 4.0488 | 166 | 1.0297 | 0.5516 | 1.0297 | 1.0147 |
| No log | 4.0976 | 168 | 1.0664 | 0.5388 | 1.0664 | 1.0327 |
| No log | 4.1463 | 170 | 0.8908 | 0.6090 | 0.8908 | 0.9438 |
| No log | 4.1951 | 172 | 0.8265 | 0.6228 | 0.8265 | 0.9091 |
| No log | 4.2439 | 174 | 0.8050 | 0.6115 | 0.8050 | 0.8972 |
| No log | 4.2927 | 176 | 0.7967 | 0.5931 | 0.7967 | 0.8926 |
| No log | 4.3415 | 178 | 0.8313 | 0.6325 | 0.8313 | 0.9118 |
| No log | 4.3902 | 180 | 0.7995 | 0.6559 | 0.7995 | 0.8942 |
| No log | 4.4390 | 182 | 0.7745 | 0.6672 | 0.7745 | 0.8801 |
| No log | 4.4878 | 184 | 0.7861 | 0.6622 | 0.7861 | 0.8866 |
| No log | 4.5366 | 186 | 0.8956 | 0.6291 | 0.8956 | 0.9464 |
| No log | 4.5854 | 188 | 1.0699 | 0.5312 | 1.0699 | 1.0344 |
| No log | 4.6341 | 190 | 0.9504 | 0.5854 | 0.9504 | 0.9749 |
| No log | 4.6829 | 192 | 0.7949 | 0.6635 | 0.7949 | 0.8916 |
| No log | 4.7317 | 194 | 0.7526 | 0.6603 | 0.7526 | 0.8675 |
| No log | 4.7805 | 196 | 0.8226 | 0.6234 | 0.8226 | 0.9070 |
| No log | 4.8293 | 198 | 0.8052 | 0.6462 | 0.8052 | 0.8973 |
| No log | 4.8780 | 200 | 0.7015 | 0.6919 | 0.7015 | 0.8376 |
| No log | 4.9268 | 202 | 0.6958 | 0.7038 | 0.6958 | 0.8342 |
| No log | 4.9756 | 204 | 0.7238 | 0.7175 | 0.7238 | 0.8508 |
| No log | 5.0244 | 206 | 0.6908 | 0.7118 | 0.6908 | 0.8311 |
| No log | 5.0732 | 208 | 0.7152 | 0.6475 | 0.7152 | 0.8457 |
| No log | 5.1220 | 210 | 0.7159 | 0.6689 | 0.7159 | 0.8461 |
| No log | 5.1707 | 212 | 0.7423 | 0.6557 | 0.7423 | 0.8615 |
| No log | 5.2195 | 214 | 0.7675 | 0.6050 | 0.7675 | 0.8761 |
| No log | 5.2683 | 216 | 0.8074 | 0.6416 | 0.8074 | 0.8986 |
| No log | 5.3171 | 218 | 0.7778 | 0.6549 | 0.7778 | 0.8819 |
| No log | 5.3659 | 220 | 0.8341 | 0.5738 | 0.8341 | 0.9133 |
| No log | 5.4146 | 222 | 0.7838 | 0.6354 | 0.7838 | 0.8853 |
| No log | 5.4634 | 224 | 0.8808 | 0.6299 | 0.8808 | 0.9385 |
| No log | 5.5122 | 226 | 1.0454 | 0.5629 | 1.0454 | 1.0225 |
| No log | 5.5610 | 228 | 0.8999 | 0.6095 | 0.8999 | 0.9486 |
| No log | 5.6098 | 230 | 0.7666 | 0.5947 | 0.7666 | 0.8755 |
| No log | 5.6585 | 232 | 0.8220 | 0.5771 | 0.8220 | 0.9067 |
| No log | 5.7073 | 234 | 0.8257 | 0.5670 | 0.8257 | 0.9087 |
| No log | 5.7561 | 236 | 0.7885 | 0.5501 | 0.7885 | 0.8880 |
| No log | 5.8049 | 238 | 0.8069 | 0.5961 | 0.8069 | 0.8983 |
| No log | 5.8537 | 240 | 0.8035 | 0.6776 | 0.8035 | 0.8964 |
| No log | 5.9024 | 242 | 0.7838 | 0.6363 | 0.7838 | 0.8853 |
| No log | 5.9512 | 244 | 0.7641 | 0.6508 | 0.7641 | 0.8741 |
| No log | 6.0 | 246 | 0.7895 | 0.6031 | 0.7895 | 0.8885 |
| No log | 6.0488 | 248 | 0.8319 | 0.6133 | 0.8319 | 0.9121 |
| No log | 6.0976 | 250 | 0.8186 | 0.6265 | 0.8186 | 0.9048 |
| No log | 6.1463 | 252 | 0.7996 | 0.6208 | 0.7996 | 0.8942 |
| No log | 6.1951 | 254 | 0.7656 | 0.6257 | 0.7656 | 0.8750 |
| No log | 6.2439 | 256 | 0.7690 | 0.5892 | 0.7690 | 0.8769 |
| No log | 6.2927 | 258 | 0.7616 | 0.6132 | 0.7616 | 0.8727 |
| No log | 6.3415 | 260 | 0.7836 | 0.5948 | 0.7836 | 0.8852 |
| No log | 6.3902 | 262 | 0.9443 | 0.5608 | 0.9443 | 0.9718 |
| No log | 6.4390 | 264 | 1.0495 | 0.5226 | 1.0495 | 1.0245 |
| No log | 6.4878 | 266 | 0.9258 | 0.5818 | 0.9258 | 0.9622 |
| No log | 6.5366 | 268 | 0.8028 | 0.5651 | 0.8028 | 0.8960 |
| No log | 6.5854 | 270 | 0.8122 | 0.5535 | 0.8122 | 0.9012 |
| No log | 6.6341 | 272 | 0.8655 | 0.5523 | 0.8655 | 0.9303 |
| No log | 6.6829 | 274 | 0.9520 | 0.5029 | 0.9520 | 0.9757 |
| No log | 6.7317 | 276 | 1.1129 | 0.4805 | 1.1129 | 1.0550 |
| No log | 6.7805 | 278 | 1.0475 | 0.4805 | 1.0475 | 1.0235 |
| No log | 6.8293 | 280 | 0.8539 | 0.5551 | 0.8539 | 0.9240 |
| No log | 6.8780 | 282 | 0.8095 | 0.5683 | 0.8095 | 0.8997 |
| No log | 6.9268 | 284 | 0.8165 | 0.5601 | 0.8165 | 0.9036 |
| No log | 6.9756 | 286 | 0.8885 | 0.5342 | 0.8885 | 0.9426 |
| No log | 7.0244 | 288 | 0.8877 | 0.5415 | 0.8877 | 0.9422 |
| No log | 7.0732 | 290 | 0.8774 | 0.5323 | 0.8774 | 0.9367 |
| No log | 7.1220 | 292 | 0.8147 | 0.5925 | 0.8147 | 0.9026 |
| No log | 7.1707 | 294 | 0.7986 | 0.5664 | 0.7986 | 0.8936 |
| No log | 7.2195 | 296 | 0.8123 | 0.5963 | 0.8123 | 0.9013 |
| No log | 7.2683 | 298 | 0.9119 | 0.5715 | 0.9119 | 0.9549 |
| No log | 7.3171 | 300 | 0.9309 | 0.5691 | 0.9309 | 0.9648 |
| No log | 7.3659 | 302 | 0.9913 | 0.5620 | 0.9913 | 0.9956 |
| No log | 7.4146 | 304 | 1.1975 | 0.5193 | 1.1975 | 1.0943 |
| No log | 7.4634 | 306 | 1.2285 | 0.4843 | 1.2285 | 1.1084 |
| No log | 7.5122 | 308 | 1.1720 | 0.4936 | 1.1720 | 1.0826 |
| No log | 7.5610 | 310 | 0.9707 | 0.5455 | 0.9707 | 0.9852 |
| No log | 7.6098 | 312 | 0.9423 | 0.5857 | 0.9423 | 0.9707 |
| No log | 7.6585 | 314 | 1.0719 | 0.5739 | 1.0719 | 1.0353 |
| No log | 7.7073 | 316 | 1.2770 | 0.5260 | 1.2770 | 1.1300 |
| No log | 7.7561 | 318 | 1.1932 | 0.5619 | 1.1932 | 1.0923 |
| No log | 7.8049 | 320 | 0.9533 | 0.6003 | 0.9533 | 0.9764 |
| No log | 7.8537 | 322 | 0.8154 | 0.6689 | 0.8154 | 0.9030 |
| No log | 7.9024 | 324 | 0.7965 | 0.6508 | 0.7965 | 0.8925 |
| No log | 7.9512 | 326 | 0.8274 | 0.6498 | 0.8274 | 0.9096 |
| No log | 8.0 | 328 | 0.9444 | 0.6109 | 0.9444 | 0.9718 |
| No log | 8.0488 | 330 | 0.9428 | 0.6109 | 0.9428 | 0.9710 |
| No log | 8.0976 | 332 | 0.8391 | 0.6476 | 0.8391 | 0.9160 |
| No log | 8.1463 | 334 | 0.7867 | 0.6472 | 0.7867 | 0.8869 |
| No log | 8.1951 | 336 | 0.7958 | 0.6432 | 0.7958 | 0.8921 |
| No log | 8.2439 | 338 | 0.8481 | 0.6026 | 0.8481 | 0.9209 |
| No log | 8.2927 | 340 | 1.0434 | 0.5790 | 1.0434 | 1.0215 |
| No log | 8.3415 | 342 | 1.1415 | 0.5443 | 1.1415 | 1.0684 |
| No log | 8.3902 | 344 | 1.0850 | 0.5813 | 1.0850 | 1.0417 |
| No log | 8.4390 | 346 | 0.9284 | 0.6217 | 0.9284 | 0.9635 |
| No log | 8.4878 | 348 | 0.8407 | 0.6249 | 0.8407 | 0.9169 |
| No log | 8.5366 | 350 | 0.8409 | 0.6233 | 0.8409 | 0.9170 |
| No log | 8.5854 | 352 | 0.8805 | 0.6058 | 0.8805 | 0.9383 |
| No log | 8.6341 | 354 | 1.0099 | 0.5839 | 1.0099 | 1.0050 |
| No log | 8.6829 | 356 | 1.2594 | 0.5158 | 1.2594 | 1.1222 |
| No log | 8.7317 | 358 | 1.2833 | 0.4933 | 1.2833 | 1.1328 |
| No log | 8.7805 | 360 | 1.1164 | 0.5445 | 1.1164 | 1.0566 |
| No log | 8.8293 | 362 | 0.8512 | 0.5803 | 0.8512 | 0.9226 |
| No log | 8.8780 | 364 | 0.7731 | 0.6121 | 0.7731 | 0.8793 |
| No log | 8.9268 | 366 | 0.7743 | 0.5985 | 0.7743 | 0.8799 |
| No log | 8.9756 | 368 | 0.7862 | 0.6119 | 0.7862 | 0.8867 |
| No log | 9.0244 | 370 | 0.8787 | 0.5754 | 0.8787 | 0.9374 |
| No log | 9.0732 | 372 | 1.0467 | 0.5531 | 1.0467 | 1.0231 |
| No log | 9.1220 | 374 | 1.0544 | 0.5393 | 1.0544 | 1.0269 |
| No log | 9.1707 | 376 | 0.9278 | 0.5730 | 0.9278 | 0.9632 |
| No log | 9.2195 | 378 | 0.7973 | 0.6241 | 0.7973 | 0.8929 |
| No log | 9.2683 | 380 | 0.7572 | 0.6372 | 0.7572 | 0.8702 |
| No log | 9.3171 | 382 | 0.7597 | 0.6505 | 0.7597 | 0.8716 |
| No log | 9.3659 | 384 | 0.8484 | 0.5923 | 0.8484 | 0.9211 |
| No log | 9.4146 | 386 | 1.0321 | 0.5595 | 1.0321 | 1.0159 |
| No log | 9.4634 | 388 | 1.0866 | 0.5530 | 1.0866 | 1.0424 |
| No log | 9.5122 | 390 | 1.0328 | 0.5672 | 1.0328 | 1.0163 |
| No log | 9.5610 | 392 | 0.8819 | 0.6417 | 0.8819 | 0.9391 |
| No log | 9.6098 | 394 | 0.8399 | 0.6228 | 0.8399 | 0.9165 |
| No log | 9.6585 | 396 | 0.7772 | 0.6790 | 0.7772 | 0.8816 |
| No log | 9.7073 | 398 | 0.7726 | 0.6524 | 0.7726 | 0.8790 |
| No log | 9.7561 | 400 | 0.8118 | 0.6415 | 0.8118 | 0.9010 |
| No log | 9.8049 | 402 | 0.9127 | 0.6517 | 0.9127 | 0.9554 |
| No log | 9.8537 | 404 | 0.9202 | 0.6450 | 0.9202 | 0.9593 |
| No log | 9.9024 | 406 | 0.8239 | 0.6450 | 0.8239 | 0.9077 |
| No log | 9.9512 | 408 | 0.8025 | 0.6289 | 0.8025 | 0.8958 |
| No log | 10.0 | 410 | 0.8132 | 0.6569 | 0.8132 | 0.9018 |
| No log | 10.0488 | 412 | 0.8080 | 0.6596 | 0.8080 | 0.8989 |
| No log | 10.0976 | 414 | 0.8228 | 0.6533 | 0.8228 | 0.9071 |
| No log | 10.1463 | 416 | 0.8542 | 0.6674 | 0.8542 | 0.9242 |
| No log | 10.1951 | 418 | 0.9421 | 0.6477 | 0.9421 | 0.9706 |
| No log | 10.2439 | 420 | 1.0213 | 0.5890 | 1.0213 | 1.0106 |
| No log | 10.2927 | 422 | 0.9325 | 0.6351 | 0.9325 | 0.9656 |
| No log | 10.3415 | 424 | 0.8755 | 0.6286 | 0.8755 | 0.9357 |
| No log | 10.3902 | 426 | 0.8661 | 0.6276 | 0.8661 | 0.9306 |
| No log | 10.4390 | 428 | 0.8324 | 0.6148 | 0.8324 | 0.9124 |
| No log | 10.4878 | 430 | 0.8176 | 0.6235 | 0.8176 | 0.9042 |
| No log | 10.5366 | 432 | 0.7955 | 0.6586 | 0.7955 | 0.8919 |
| No log | 10.5854 | 434 | 0.7995 | 0.6539 | 0.7995 | 0.8942 |
| No log | 10.6341 | 436 | 0.8220 | 0.6644 | 0.8220 | 0.9066 |
| No log | 10.6829 | 438 | 0.9024 | 0.6311 | 0.9024 | 0.9499 |
| No log | 10.7317 | 440 | 1.0153 | 0.5965 | 1.0153 | 1.0076 |
| No log | 10.7805 | 442 | 0.9813 | 0.6205 | 0.9813 | 0.9906 |
| No log | 10.8293 | 444 | 0.9238 | 0.6513 | 0.9238 | 0.9612 |
| No log | 10.8780 | 446 | 0.8751 | 0.6305 | 0.8751 | 0.9355 |
| No log | 10.9268 | 448 | 0.9534 | 0.6400 | 0.9534 | 0.9764 |
| No log | 10.9756 | 450 | 0.9838 | 0.6348 | 0.9838 | 0.9919 |
| No log | 11.0244 | 452 | 1.0171 | 0.6279 | 1.0171 | 1.0085 |
| No log | 11.0732 | 454 | 1.0164 | 0.6076 | 1.0164 | 1.0082 |
| No log | 11.1220 | 456 | 1.0027 | 0.5767 | 1.0027 | 1.0014 |
| No log | 11.1707 | 458 | 0.9964 | 0.5677 | 0.9964 | 0.9982 |
| No log | 11.2195 | 460 | 0.9459 | 0.5781 | 0.9459 | 0.9726 |
| No log | 11.2683 | 462 | 0.9351 | 0.5872 | 0.9351 | 0.9670 |
| No log | 11.3171 | 464 | 0.8621 | 0.5842 | 0.8621 | 0.9285 |
| No log | 11.3659 | 466 | 0.8392 | 0.5709 | 0.8392 | 0.9161 |
| No log | 11.4146 | 468 | 0.8718 | 0.6123 | 0.8718 | 0.9337 |
| No log | 11.4634 | 470 | 0.8932 | 0.6412 | 0.8932 | 0.9451 |
| No log | 11.5122 | 472 | 0.8749 | 0.6270 | 0.8749 | 0.9353 |
| No log | 11.5610 | 474 | 0.8812 | 0.6412 | 0.8812 | 0.9387 |
| No log | 11.6098 | 476 | 0.9967 | 0.5788 | 0.9967 | 0.9984 |
| No log | 11.6585 | 478 | 1.0771 | 0.5491 | 1.0771 | 1.0378 |
| No log | 11.7073 | 480 | 1.0278 | 0.5475 | 1.0278 | 1.0138 |
| No log | 11.7561 | 482 | 0.9806 | 0.5800 | 0.9806 | 0.9903 |
| No log | 11.8049 | 484 | 0.9126 | 0.625 | 0.9126 | 0.9553 |
| No log | 11.8537 | 486 | 0.8135 | 0.6539 | 0.8135 | 0.9019 |
| No log | 11.9024 | 488 | 0.7605 | 0.6584 | 0.7605 | 0.8721 |
| No log | 11.9512 | 490 | 0.7705 | 0.6534 | 0.7705 | 0.8778 |
| No log | 12.0 | 492 | 0.8710 | 0.6293 | 0.8710 | 0.9333 |
| No log | 12.0488 | 494 | 0.8838 | 0.6109 | 0.8838 | 0.9401 |
| No log | 12.0976 | 496 | 0.8224 | 0.6496 | 0.8224 | 0.9068 |
| No log | 12.1463 | 498 | 0.7520 | 0.6713 | 0.7520 | 0.8672 |
| 0.3876 | 12.1951 | 500 | 0.7098 | 0.7003 | 0.7098 | 0.8425 |
| 0.3876 | 12.2439 | 502 | 0.7045 | 0.7026 | 0.7045 | 0.8393 |
| 0.3876 | 12.2927 | 504 | 0.7278 | 0.7107 | 0.7278 | 0.8531 |
| 0.3876 | 12.3415 | 506 | 0.7477 | 0.6859 | 0.7477 | 0.8647 |
| 0.3876 | 12.3902 | 508 | 0.7385 | 0.6908 | 0.7385 | 0.8593 |
| 0.3876 | 12.4390 | 510 | 0.7528 | 0.6811 | 0.7528 | 0.8677 |
| 0.3876 | 12.4878 | 512 | 0.7884 | 0.6712 | 0.7884 | 0.8879 |
| 0.3876 | 12.5366 | 514 | 0.8457 | 0.6372 | 0.8457 | 0.9196 |
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_run2_AugV5_k8_task1_organization
Base model
aubmindlab/bert-base-arabertv02