Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k1_task2_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: 0.6835
- Qwk: 0.4831
- Mse: 0.6835
- Rmse: 0.8268
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 | 0.2857 | 2 | 4.2080 | -0.0097 | 4.2080 | 2.0514 |
| No log | 0.5714 | 4 | 2.5750 | 0.0676 | 2.5750 | 1.6047 |
| No log | 0.8571 | 6 | 1.3785 | 0.0205 | 1.3785 | 1.1741 |
| No log | 1.1429 | 8 | 1.0092 | -0.0296 | 1.0092 | 1.0046 |
| No log | 1.4286 | 10 | 0.8890 | 0.0437 | 0.8890 | 0.9429 |
| No log | 1.7143 | 12 | 0.8602 | 0.1041 | 0.8602 | 0.9275 |
| No log | 2.0 | 14 | 0.8048 | 0.1808 | 0.8048 | 0.8971 |
| No log | 2.2857 | 16 | 0.8021 | 0.2487 | 0.8021 | 0.8956 |
| No log | 2.5714 | 18 | 0.7593 | 0.2010 | 0.7593 | 0.8714 |
| No log | 2.8571 | 20 | 0.7791 | 0.2268 | 0.7791 | 0.8826 |
| No log | 3.1429 | 22 | 0.8963 | 0.2233 | 0.8963 | 0.9468 |
| No log | 3.4286 | 24 | 0.9090 | 0.1949 | 0.9090 | 0.9534 |
| No log | 3.7143 | 26 | 0.8326 | 0.2419 | 0.8326 | 0.9125 |
| No log | 4.0 | 28 | 1.0161 | 0.1126 | 1.0161 | 1.0080 |
| No log | 4.2857 | 30 | 1.2684 | 0.0154 | 1.2684 | 1.1262 |
| No log | 4.5714 | 32 | 0.9670 | 0.1139 | 0.9670 | 0.9834 |
| No log | 4.8571 | 34 | 0.7066 | 0.2619 | 0.7066 | 0.8406 |
| No log | 5.1429 | 36 | 0.7151 | 0.2778 | 0.7151 | 0.8457 |
| No log | 5.4286 | 38 | 0.7119 | 0.2816 | 0.7119 | 0.8438 |
| No log | 5.7143 | 40 | 0.7082 | 0.2740 | 0.7082 | 0.8416 |
| No log | 6.0 | 42 | 0.7531 | 0.2993 | 0.7531 | 0.8678 |
| No log | 6.2857 | 44 | 0.7774 | 0.3550 | 0.7774 | 0.8817 |
| No log | 6.5714 | 46 | 0.8108 | 0.3291 | 0.8108 | 0.9004 |
| No log | 6.8571 | 48 | 0.7243 | 0.3865 | 0.7243 | 0.8511 |
| No log | 7.1429 | 50 | 0.7660 | 0.3736 | 0.7660 | 0.8752 |
| No log | 7.4286 | 52 | 0.9140 | 0.2665 | 0.9140 | 0.9560 |
| No log | 7.7143 | 54 | 0.8681 | 0.2983 | 0.8681 | 0.9317 |
| No log | 8.0 | 56 | 0.7903 | 0.4344 | 0.7903 | 0.8890 |
| No log | 8.2857 | 58 | 0.8429 | 0.4906 | 0.8429 | 0.9181 |
| No log | 8.5714 | 60 | 0.8276 | 0.4787 | 0.8276 | 0.9097 |
| No log | 8.8571 | 62 | 0.8046 | 0.3839 | 0.8046 | 0.8970 |
| No log | 9.1429 | 64 | 0.9465 | 0.3340 | 0.9465 | 0.9729 |
| No log | 9.4286 | 66 | 0.8568 | 0.3892 | 0.8568 | 0.9256 |
| No log | 9.7143 | 68 | 0.8062 | 0.4596 | 0.8062 | 0.8979 |
| No log | 10.0 | 70 | 0.7934 | 0.4771 | 0.7934 | 0.8907 |
| No log | 10.2857 | 72 | 0.7538 | 0.4577 | 0.7538 | 0.8682 |
| No log | 10.5714 | 74 | 0.7757 | 0.4601 | 0.7757 | 0.8807 |
| No log | 10.8571 | 76 | 0.9280 | 0.4178 | 0.9280 | 0.9633 |
| No log | 11.1429 | 78 | 0.9243 | 0.4371 | 0.9243 | 0.9614 |
| No log | 11.4286 | 80 | 0.7732 | 0.4354 | 0.7732 | 0.8793 |
| No log | 11.7143 | 82 | 0.8200 | 0.4861 | 0.8200 | 0.9055 |
| No log | 12.0 | 84 | 0.8359 | 0.4631 | 0.8359 | 0.9143 |
| No log | 12.2857 | 86 | 0.8300 | 0.4632 | 0.8300 | 0.9110 |
| No log | 12.5714 | 88 | 0.8146 | 0.4667 | 0.8146 | 0.9026 |
| No log | 12.8571 | 90 | 0.8261 | 0.4868 | 0.8261 | 0.9089 |
| No log | 13.1429 | 92 | 0.7883 | 0.4595 | 0.7883 | 0.8878 |
| No log | 13.4286 | 94 | 0.7296 | 0.4716 | 0.7296 | 0.8542 |
| No log | 13.7143 | 96 | 0.6941 | 0.4692 | 0.6941 | 0.8332 |
| No log | 14.0 | 98 | 0.6559 | 0.4513 | 0.6559 | 0.8099 |
| No log | 14.2857 | 100 | 0.6626 | 0.4894 | 0.6626 | 0.8140 |
| No log | 14.5714 | 102 | 0.7028 | 0.5150 | 0.7028 | 0.8384 |
| No log | 14.8571 | 104 | 0.6806 | 0.4986 | 0.6806 | 0.8250 |
| No log | 15.1429 | 106 | 0.7302 | 0.4687 | 0.7302 | 0.8545 |
| No log | 15.4286 | 108 | 0.7986 | 0.4493 | 0.7986 | 0.8937 |
| No log | 15.7143 | 110 | 0.8501 | 0.4605 | 0.8501 | 0.9220 |
| No log | 16.0 | 112 | 1.0550 | 0.3975 | 1.0550 | 1.0271 |
| No log | 16.2857 | 114 | 1.0780 | 0.3980 | 1.0780 | 1.0383 |
| No log | 16.5714 | 116 | 0.8701 | 0.4961 | 0.8701 | 0.9328 |
| No log | 16.8571 | 118 | 0.7715 | 0.4704 | 0.7715 | 0.8784 |
| No log | 17.1429 | 120 | 0.8731 | 0.4900 | 0.8731 | 0.9344 |
| No log | 17.4286 | 122 | 0.8813 | 0.4666 | 0.8813 | 0.9388 |
| No log | 17.7143 | 124 | 0.8062 | 0.4411 | 0.8062 | 0.8979 |
| No log | 18.0 | 126 | 0.8278 | 0.4373 | 0.8278 | 0.9098 |
| No log | 18.2857 | 128 | 0.7400 | 0.4601 | 0.7400 | 0.8603 |
| No log | 18.5714 | 130 | 0.7241 | 0.5448 | 0.7241 | 0.8509 |
| No log | 18.8571 | 132 | 0.8396 | 0.4861 | 0.8396 | 0.9163 |
| No log | 19.1429 | 134 | 0.9778 | 0.4248 | 0.9778 | 0.9889 |
| No log | 19.4286 | 136 | 1.0791 | 0.4761 | 1.0791 | 1.0388 |
| No log | 19.7143 | 138 | 0.9714 | 0.4938 | 0.9714 | 0.9856 |
| No log | 20.0 | 140 | 0.8077 | 0.5144 | 0.8077 | 0.8987 |
| No log | 20.2857 | 142 | 0.9158 | 0.4599 | 0.9158 | 0.9570 |
| No log | 20.5714 | 144 | 0.9439 | 0.4262 | 0.9439 | 0.9716 |
| No log | 20.8571 | 146 | 0.7900 | 0.4854 | 0.7900 | 0.8888 |
| No log | 21.1429 | 148 | 0.6943 | 0.4752 | 0.6943 | 0.8333 |
| No log | 21.4286 | 150 | 0.8070 | 0.4919 | 0.8070 | 0.8984 |
| No log | 21.7143 | 152 | 0.8621 | 0.4350 | 0.8621 | 0.9285 |
| No log | 22.0 | 154 | 0.8333 | 0.4494 | 0.8333 | 0.9129 |
| No log | 22.2857 | 156 | 0.7710 | 0.4514 | 0.7710 | 0.8781 |
| No log | 22.5714 | 158 | 0.7403 | 0.5169 | 0.7403 | 0.8604 |
| No log | 22.8571 | 160 | 0.7566 | 0.4350 | 0.7566 | 0.8698 |
| No log | 23.1429 | 162 | 0.7701 | 0.4504 | 0.7701 | 0.8775 |
| No log | 23.4286 | 164 | 0.7444 | 0.4881 | 0.7444 | 0.8628 |
| No log | 23.7143 | 166 | 0.8189 | 0.4539 | 0.8189 | 0.9049 |
| No log | 24.0 | 168 | 0.8636 | 0.4738 | 0.8636 | 0.9293 |
| No log | 24.2857 | 170 | 0.8588 | 0.4469 | 0.8588 | 0.9267 |
| No log | 24.5714 | 172 | 0.7818 | 0.4961 | 0.7818 | 0.8842 |
| No log | 24.8571 | 174 | 0.7471 | 0.5073 | 0.7471 | 0.8643 |
| No log | 25.1429 | 176 | 0.7455 | 0.4504 | 0.7455 | 0.8634 |
| No log | 25.4286 | 178 | 0.7154 | 0.5227 | 0.7154 | 0.8458 |
| No log | 25.7143 | 180 | 0.6897 | 0.4863 | 0.6897 | 0.8305 |
| No log | 26.0 | 182 | 0.7553 | 0.4756 | 0.7553 | 0.8691 |
| No log | 26.2857 | 184 | 0.8408 | 0.4713 | 0.8408 | 0.9169 |
| No log | 26.5714 | 186 | 0.8011 | 0.4616 | 0.8011 | 0.8951 |
| No log | 26.8571 | 188 | 0.7687 | 0.5126 | 0.7687 | 0.8768 |
| No log | 27.1429 | 190 | 0.7985 | 0.4281 | 0.7985 | 0.8936 |
| No log | 27.4286 | 192 | 0.7717 | 0.4598 | 0.7717 | 0.8784 |
| No log | 27.7143 | 194 | 0.7213 | 0.5064 | 0.7213 | 0.8493 |
| No log | 28.0 | 196 | 0.7332 | 0.4249 | 0.7332 | 0.8563 |
| No log | 28.2857 | 198 | 0.7562 | 0.4331 | 0.7562 | 0.8696 |
| No log | 28.5714 | 200 | 0.7362 | 0.4396 | 0.7362 | 0.8580 |
| No log | 28.8571 | 202 | 0.6838 | 0.5112 | 0.6838 | 0.8270 |
| No log | 29.1429 | 204 | 0.6355 | 0.5091 | 0.6355 | 0.7972 |
| No log | 29.4286 | 206 | 0.6150 | 0.5170 | 0.6150 | 0.7842 |
| No log | 29.7143 | 208 | 0.6307 | 0.4662 | 0.6307 | 0.7942 |
| No log | 30.0 | 210 | 0.6865 | 0.5091 | 0.6865 | 0.8286 |
| No log | 30.2857 | 212 | 0.7356 | 0.5203 | 0.7356 | 0.8577 |
| No log | 30.5714 | 214 | 0.7754 | 0.5005 | 0.7754 | 0.8806 |
| No log | 30.8571 | 216 | 0.7812 | 0.4977 | 0.7812 | 0.8838 |
| No log | 31.1429 | 218 | 0.7480 | 0.4448 | 0.7480 | 0.8649 |
| No log | 31.4286 | 220 | 0.7321 | 0.4474 | 0.7321 | 0.8556 |
| No log | 31.7143 | 222 | 0.7824 | 0.3943 | 0.7824 | 0.8846 |
| No log | 32.0 | 224 | 0.8375 | 0.4336 | 0.8375 | 0.9151 |
| No log | 32.2857 | 226 | 0.8545 | 0.4425 | 0.8545 | 0.9244 |
| No log | 32.5714 | 228 | 0.8309 | 0.4511 | 0.8309 | 0.9115 |
| No log | 32.8571 | 230 | 0.8241 | 0.4887 | 0.8241 | 0.9078 |
| No log | 33.1429 | 232 | 0.7832 | 0.4999 | 0.7832 | 0.8850 |
| No log | 33.4286 | 234 | 0.7477 | 0.4796 | 0.7477 | 0.8647 |
| No log | 33.7143 | 236 | 0.7375 | 0.4573 | 0.7375 | 0.8588 |
| No log | 34.0 | 238 | 0.7744 | 0.4733 | 0.7744 | 0.8800 |
| No log | 34.2857 | 240 | 0.7839 | 0.4620 | 0.7839 | 0.8854 |
| No log | 34.5714 | 242 | 0.7438 | 0.4383 | 0.7438 | 0.8624 |
| No log | 34.8571 | 244 | 0.7220 | 0.4544 | 0.7220 | 0.8497 |
| No log | 35.1429 | 246 | 0.7119 | 0.4598 | 0.7119 | 0.8438 |
| No log | 35.4286 | 248 | 0.7093 | 0.4428 | 0.7093 | 0.8422 |
| No log | 35.7143 | 250 | 0.7224 | 0.3889 | 0.7224 | 0.8499 |
| No log | 36.0 | 252 | 0.7157 | 0.4140 | 0.7157 | 0.8460 |
| No log | 36.2857 | 254 | 0.7301 | 0.4057 | 0.7301 | 0.8545 |
| No log | 36.5714 | 256 | 0.7567 | 0.4442 | 0.7567 | 0.8699 |
| No log | 36.8571 | 258 | 0.7753 | 0.4815 | 0.7753 | 0.8805 |
| No log | 37.1429 | 260 | 0.8264 | 0.4712 | 0.8264 | 0.9091 |
| No log | 37.4286 | 262 | 0.8278 | 0.4704 | 0.8278 | 0.9098 |
| No log | 37.7143 | 264 | 0.7876 | 0.4783 | 0.7876 | 0.8875 |
| No log | 38.0 | 266 | 0.7532 | 0.4845 | 0.7532 | 0.8679 |
| No log | 38.2857 | 268 | 0.7292 | 0.4731 | 0.7292 | 0.8539 |
| No log | 38.5714 | 270 | 0.7480 | 0.4416 | 0.7480 | 0.8648 |
| No log | 38.8571 | 272 | 0.8454 | 0.4828 | 0.8454 | 0.9195 |
| No log | 39.1429 | 274 | 0.9320 | 0.4623 | 0.9320 | 0.9654 |
| No log | 39.4286 | 276 | 0.9083 | 0.4732 | 0.9083 | 0.9530 |
| No log | 39.7143 | 278 | 0.7982 | 0.4960 | 0.7982 | 0.8934 |
| No log | 40.0 | 280 | 0.7105 | 0.4954 | 0.7105 | 0.8429 |
| No log | 40.2857 | 282 | 0.6885 | 0.5280 | 0.6885 | 0.8298 |
| No log | 40.5714 | 284 | 0.6951 | 0.5280 | 0.6951 | 0.8338 |
| No log | 40.8571 | 286 | 0.7124 | 0.4874 | 0.7124 | 0.8440 |
| No log | 41.1429 | 288 | 0.7687 | 0.4903 | 0.7687 | 0.8768 |
| No log | 41.4286 | 290 | 0.8269 | 0.4649 | 0.8269 | 0.9094 |
| No log | 41.7143 | 292 | 0.8022 | 0.4770 | 0.8022 | 0.8957 |
| No log | 42.0 | 294 | 0.7342 | 0.4812 | 0.7342 | 0.8569 |
| No log | 42.2857 | 296 | 0.6992 | 0.4518 | 0.6992 | 0.8362 |
| No log | 42.5714 | 298 | 0.7258 | 0.5119 | 0.7258 | 0.8519 |
| No log | 42.8571 | 300 | 0.7457 | 0.5009 | 0.7457 | 0.8635 |
| No log | 43.1429 | 302 | 0.7330 | 0.4897 | 0.7330 | 0.8562 |
| No log | 43.4286 | 304 | 0.7431 | 0.4719 | 0.7431 | 0.8620 |
| No log | 43.7143 | 306 | 0.7618 | 0.4764 | 0.7618 | 0.8728 |
| No log | 44.0 | 308 | 0.7667 | 0.4596 | 0.7667 | 0.8756 |
| No log | 44.2857 | 310 | 0.7413 | 0.4689 | 0.7413 | 0.8610 |
| No log | 44.5714 | 312 | 0.7356 | 0.4737 | 0.7356 | 0.8577 |
| No log | 44.8571 | 314 | 0.7264 | 0.4728 | 0.7264 | 0.8523 |
| No log | 45.1429 | 316 | 0.7172 | 0.4614 | 0.7172 | 0.8469 |
| No log | 45.4286 | 318 | 0.7042 | 0.4992 | 0.7042 | 0.8392 |
| No log | 45.7143 | 320 | 0.7041 | 0.5213 | 0.7041 | 0.8391 |
| No log | 46.0 | 322 | 0.7164 | 0.4928 | 0.7164 | 0.8464 |
| No log | 46.2857 | 324 | 0.7442 | 0.4682 | 0.7442 | 0.8627 |
| No log | 46.5714 | 326 | 0.7734 | 0.4955 | 0.7734 | 0.8794 |
| No log | 46.8571 | 328 | 0.7726 | 0.4813 | 0.7726 | 0.8790 |
| No log | 47.1429 | 330 | 0.7419 | 0.4993 | 0.7419 | 0.8614 |
| No log | 47.4286 | 332 | 0.6996 | 0.4545 | 0.6996 | 0.8364 |
| No log | 47.7143 | 334 | 0.6922 | 0.4492 | 0.6922 | 0.8320 |
| No log | 48.0 | 336 | 0.6832 | 0.4572 | 0.6832 | 0.8266 |
| No log | 48.2857 | 338 | 0.6930 | 0.4546 | 0.6930 | 0.8325 |
| No log | 48.5714 | 340 | 0.6992 | 0.4433 | 0.6992 | 0.8362 |
| No log | 48.8571 | 342 | 0.6917 | 0.4439 | 0.6917 | 0.8317 |
| No log | 49.1429 | 344 | 0.6678 | 0.4653 | 0.6678 | 0.8172 |
| No log | 49.4286 | 346 | 0.6540 | 0.5030 | 0.6540 | 0.8087 |
| No log | 49.7143 | 348 | 0.6722 | 0.4797 | 0.6722 | 0.8199 |
| No log | 50.0 | 350 | 0.6838 | 0.4534 | 0.6838 | 0.8269 |
| No log | 50.2857 | 352 | 0.6751 | 0.4558 | 0.6751 | 0.8217 |
| No log | 50.5714 | 354 | 0.6740 | 0.4529 | 0.6740 | 0.8210 |
| No log | 50.8571 | 356 | 0.6672 | 0.4762 | 0.6672 | 0.8169 |
| No log | 51.1429 | 358 | 0.6730 | 0.4848 | 0.6730 | 0.8204 |
| No log | 51.4286 | 360 | 0.6936 | 0.4816 | 0.6936 | 0.8328 |
| No log | 51.7143 | 362 | 0.7037 | 0.4773 | 0.7037 | 0.8389 |
| No log | 52.0 | 364 | 0.6870 | 0.4878 | 0.6870 | 0.8288 |
| No log | 52.2857 | 366 | 0.6840 | 0.4851 | 0.6840 | 0.8271 |
| No log | 52.5714 | 368 | 0.6703 | 0.4993 | 0.6703 | 0.8187 |
| No log | 52.8571 | 370 | 0.6831 | 0.4802 | 0.6831 | 0.8265 |
| No log | 53.1429 | 372 | 0.6867 | 0.4645 | 0.6867 | 0.8287 |
| No log | 53.4286 | 374 | 0.6912 | 0.4724 | 0.6912 | 0.8314 |
| No log | 53.7143 | 376 | 0.7012 | 0.4851 | 0.7012 | 0.8374 |
| No log | 54.0 | 378 | 0.7194 | 0.4827 | 0.7194 | 0.8482 |
| No log | 54.2857 | 380 | 0.7379 | 0.4850 | 0.7379 | 0.8590 |
| No log | 54.5714 | 382 | 0.7313 | 0.5142 | 0.7313 | 0.8552 |
| No log | 54.8571 | 384 | 0.7146 | 0.5100 | 0.7146 | 0.8454 |
| No log | 55.1429 | 386 | 0.6979 | 0.5022 | 0.6979 | 0.8354 |
| No log | 55.4286 | 388 | 0.6802 | 0.5073 | 0.6802 | 0.8247 |
| No log | 55.7143 | 390 | 0.6992 | 0.4904 | 0.6992 | 0.8362 |
| No log | 56.0 | 392 | 0.7216 | 0.4816 | 0.7216 | 0.8495 |
| No log | 56.2857 | 394 | 0.7269 | 0.4567 | 0.7269 | 0.8526 |
| No log | 56.5714 | 396 | 0.7014 | 0.4645 | 0.7014 | 0.8375 |
| No log | 56.8571 | 398 | 0.6766 | 0.4837 | 0.6766 | 0.8226 |
| No log | 57.1429 | 400 | 0.6529 | 0.5017 | 0.6529 | 0.8080 |
| No log | 57.4286 | 402 | 0.6471 | 0.4998 | 0.6471 | 0.8044 |
| No log | 57.7143 | 404 | 0.6491 | 0.5056 | 0.6491 | 0.8056 |
| No log | 58.0 | 406 | 0.6672 | 0.4726 | 0.6672 | 0.8168 |
| No log | 58.2857 | 408 | 0.7093 | 0.4539 | 0.7093 | 0.8422 |
| No log | 58.5714 | 410 | 0.7263 | 0.4506 | 0.7263 | 0.8522 |
| No log | 58.8571 | 412 | 0.7322 | 0.4422 | 0.7322 | 0.8557 |
| No log | 59.1429 | 414 | 0.7321 | 0.4422 | 0.7321 | 0.8556 |
| No log | 59.4286 | 416 | 0.7588 | 0.4712 | 0.7588 | 0.8711 |
| No log | 59.7143 | 418 | 0.7868 | 0.4420 | 0.7868 | 0.8870 |
| No log | 60.0 | 420 | 0.7638 | 0.4382 | 0.7638 | 0.8739 |
| No log | 60.2857 | 422 | 0.7215 | 0.4556 | 0.7215 | 0.8494 |
| No log | 60.5714 | 424 | 0.6995 | 0.4433 | 0.6995 | 0.8364 |
| No log | 60.8571 | 426 | 0.6931 | 0.4987 | 0.6931 | 0.8325 |
| No log | 61.1429 | 428 | 0.7023 | 0.4841 | 0.7023 | 0.8380 |
| No log | 61.4286 | 430 | 0.7137 | 0.4907 | 0.7137 | 0.8448 |
| No log | 61.7143 | 432 | 0.7434 | 0.4629 | 0.7434 | 0.8622 |
| No log | 62.0 | 434 | 0.7391 | 0.4629 | 0.7391 | 0.8597 |
| No log | 62.2857 | 436 | 0.7223 | 0.4746 | 0.7223 | 0.8499 |
| No log | 62.5714 | 438 | 0.6852 | 0.4736 | 0.6852 | 0.8278 |
| No log | 62.8571 | 440 | 0.6756 | 0.4729 | 0.6756 | 0.8219 |
| No log | 63.1429 | 442 | 0.6767 | 0.4713 | 0.6767 | 0.8226 |
| No log | 63.4286 | 444 | 0.6719 | 0.4777 | 0.6719 | 0.8197 |
| No log | 63.7143 | 446 | 0.6683 | 0.4767 | 0.6683 | 0.8175 |
| No log | 64.0 | 448 | 0.6583 | 0.4843 | 0.6583 | 0.8114 |
| No log | 64.2857 | 450 | 0.6565 | 0.5050 | 0.6565 | 0.8103 |
| No log | 64.5714 | 452 | 0.6671 | 0.4646 | 0.6671 | 0.8167 |
| No log | 64.8571 | 454 | 0.7010 | 0.4500 | 0.7010 | 0.8373 |
| No log | 65.1429 | 456 | 0.7188 | 0.4296 | 0.7188 | 0.8478 |
| No log | 65.4286 | 458 | 0.7311 | 0.4373 | 0.7311 | 0.8550 |
| No log | 65.7143 | 460 | 0.7099 | 0.4654 | 0.7099 | 0.8426 |
| No log | 66.0 | 462 | 0.7012 | 0.4746 | 0.7012 | 0.8374 |
| No log | 66.2857 | 464 | 0.6884 | 0.4909 | 0.6884 | 0.8297 |
| No log | 66.5714 | 466 | 0.6919 | 0.4896 | 0.6919 | 0.8318 |
| No log | 66.8571 | 468 | 0.6890 | 0.4935 | 0.6890 | 0.8301 |
| No log | 67.1429 | 470 | 0.6738 | 0.4891 | 0.6738 | 0.8209 |
| No log | 67.4286 | 472 | 0.6712 | 0.5133 | 0.6712 | 0.8192 |
| No log | 67.7143 | 474 | 0.6835 | 0.4939 | 0.6835 | 0.8267 |
| No log | 68.0 | 476 | 0.7099 | 0.4320 | 0.7099 | 0.8425 |
| No log | 68.2857 | 478 | 0.7559 | 0.4240 | 0.7559 | 0.8694 |
| No log | 68.5714 | 480 | 0.7783 | 0.4098 | 0.7783 | 0.8822 |
| No log | 68.8571 | 482 | 0.7579 | 0.4098 | 0.7579 | 0.8706 |
| No log | 69.1429 | 484 | 0.7168 | 0.3994 | 0.7168 | 0.8467 |
| No log | 69.4286 | 486 | 0.7000 | 0.4535 | 0.7000 | 0.8367 |
| No log | 69.7143 | 488 | 0.6919 | 0.4791 | 0.6919 | 0.8318 |
| No log | 70.0 | 490 | 0.6695 | 0.4924 | 0.6695 | 0.8182 |
| No log | 70.2857 | 492 | 0.6643 | 0.4913 | 0.6643 | 0.8150 |
| No log | 70.5714 | 494 | 0.6695 | 0.4973 | 0.6695 | 0.8183 |
| No log | 70.8571 | 496 | 0.6821 | 0.5041 | 0.6821 | 0.8259 |
| No log | 71.1429 | 498 | 0.6944 | 0.4926 | 0.6944 | 0.8333 |
| 0.26 | 71.4286 | 500 | 0.7177 | 0.4982 | 0.7177 | 0.8472 |
| 0.26 | 71.7143 | 502 | 0.7368 | 0.5132 | 0.7368 | 0.8584 |
| 0.26 | 72.0 | 504 | 0.7359 | 0.5101 | 0.7359 | 0.8578 |
| 0.26 | 72.2857 | 506 | 0.7420 | 0.4903 | 0.7420 | 0.8614 |
| 0.26 | 72.5714 | 508 | 0.7232 | 0.4873 | 0.7232 | 0.8504 |
| 0.26 | 72.8571 | 510 | 0.7041 | 0.4948 | 0.7041 | 0.8391 |
| 0.26 | 73.1429 | 512 | 0.6903 | 0.5086 | 0.6903 | 0.8309 |
| 0.26 | 73.4286 | 514 | 0.6882 | 0.5011 | 0.6882 | 0.8296 |
| 0.26 | 73.7143 | 516 | 0.6801 | 0.4999 | 0.6801 | 0.8247 |
| 0.26 | 74.0 | 518 | 0.6730 | 0.5023 | 0.6730 | 0.8204 |
| 0.26 | 74.2857 | 520 | 0.6736 | 0.5011 | 0.6736 | 0.8207 |
| 0.26 | 74.5714 | 522 | 0.6812 | 0.5106 | 0.6812 | 0.8254 |
| 0.26 | 74.8571 | 524 | 0.6878 | 0.5106 | 0.6878 | 0.8293 |
| 0.26 | 75.1429 | 526 | 0.6739 | 0.5041 | 0.6739 | 0.8209 |
| 0.26 | 75.4286 | 528 | 0.6579 | 0.5047 | 0.6579 | 0.8111 |
| 0.26 | 75.7143 | 530 | 0.6560 | 0.5071 | 0.6560 | 0.8099 |
| 0.26 | 76.0 | 532 | 0.6667 | 0.5071 | 0.6667 | 0.8165 |
| 0.26 | 76.2857 | 534 | 0.6700 | 0.5029 | 0.6700 | 0.8185 |
| 0.26 | 76.5714 | 536 | 0.6850 | 0.5135 | 0.6850 | 0.8277 |
| 0.26 | 76.8571 | 538 | 0.6926 | 0.4982 | 0.6926 | 0.8322 |
| 0.26 | 77.1429 | 540 | 0.6990 | 0.4982 | 0.6990 | 0.8360 |
| 0.26 | 77.4286 | 542 | 0.6964 | 0.4993 | 0.6964 | 0.8345 |
| 0.26 | 77.7143 | 544 | 0.6875 | 0.4912 | 0.6875 | 0.8291 |
| 0.26 | 78.0 | 546 | 0.6802 | 0.5153 | 0.6802 | 0.8248 |
| 0.26 | 78.2857 | 548 | 0.6787 | 0.4992 | 0.6787 | 0.8238 |
| 0.26 | 78.5714 | 550 | 0.6805 | 0.5245 | 0.6805 | 0.8249 |
| 0.26 | 78.8571 | 552 | 0.6840 | 0.5207 | 0.6840 | 0.8270 |
| 0.26 | 79.1429 | 554 | 0.6964 | 0.5144 | 0.6964 | 0.8345 |
| 0.26 | 79.4286 | 556 | 0.7108 | 0.4993 | 0.7108 | 0.8431 |
| 0.26 | 79.7143 | 558 | 0.7199 | 0.4993 | 0.7199 | 0.8485 |
| 0.26 | 80.0 | 560 | 0.7277 | 0.4907 | 0.7277 | 0.8530 |
| 0.26 | 80.2857 | 562 | 0.7224 | 0.4907 | 0.7224 | 0.8500 |
| 0.26 | 80.5714 | 564 | 0.7221 | 0.4758 | 0.7221 | 0.8498 |
| 0.26 | 80.8571 | 566 | 0.7089 | 0.4768 | 0.7089 | 0.8419 |
| 0.26 | 81.1429 | 568 | 0.6873 | 0.4987 | 0.6873 | 0.8290 |
| 0.26 | 81.4286 | 570 | 0.6633 | 0.4945 | 0.6633 | 0.8144 |
| 0.26 | 81.7143 | 572 | 0.6495 | 0.4999 | 0.6495 | 0.8059 |
| 0.26 | 82.0 | 574 | 0.6414 | 0.5085 | 0.6414 | 0.8009 |
| 0.26 | 82.2857 | 576 | 0.6458 | 0.5057 | 0.6458 | 0.8036 |
| 0.26 | 82.5714 | 578 | 0.6482 | 0.5057 | 0.6482 | 0.8051 |
| 0.26 | 82.8571 | 580 | 0.6453 | 0.5057 | 0.6453 | 0.8033 |
| 0.26 | 83.1429 | 582 | 0.6438 | 0.5155 | 0.6438 | 0.8024 |
| 0.26 | 83.4286 | 584 | 0.6505 | 0.5273 | 0.6505 | 0.8065 |
| 0.26 | 83.7143 | 586 | 0.6588 | 0.5101 | 0.6588 | 0.8117 |
| 0.26 | 84.0 | 588 | 0.6692 | 0.5101 | 0.6692 | 0.8181 |
| 0.26 | 84.2857 | 590 | 0.6840 | 0.5011 | 0.6840 | 0.8270 |
| 0.26 | 84.5714 | 592 | 0.6986 | 0.4807 | 0.6986 | 0.8358 |
| 0.26 | 84.8571 | 594 | 0.6992 | 0.4883 | 0.6992 | 0.8362 |
| 0.26 | 85.1429 | 596 | 0.6964 | 0.4831 | 0.6964 | 0.8345 |
| 0.26 | 85.4286 | 598 | 0.6928 | 0.4831 | 0.6928 | 0.8323 |
| 0.26 | 85.7143 | 600 | 0.6835 | 0.4831 | 0.6835 | 0.8268 |
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_run1_AugV5_k1_task2_organization
Base model
aubmindlab/bert-base-arabertv02