Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_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: 0.8609
- Qwk: 0.3753
- Mse: 0.8609
- Rmse: 0.9278
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 | 0.1538 | 2 | 4.7039 | 0.0010 | 4.7039 | 2.1688 |
| No log | 0.3077 | 4 | 2.8509 | -0.0285 | 2.8509 | 1.6885 |
| No log | 0.4615 | 6 | 1.9145 | -0.0575 | 1.9145 | 1.3837 |
| No log | 0.6154 | 8 | 1.4809 | -0.0194 | 1.4809 | 1.2169 |
| No log | 0.7692 | 10 | 1.2739 | 0.1176 | 1.2739 | 1.1287 |
| No log | 0.9231 | 12 | 1.1778 | 0.2464 | 1.1778 | 1.0853 |
| No log | 1.0769 | 14 | 1.1531 | 0.1556 | 1.1531 | 1.0738 |
| No log | 1.2308 | 16 | 1.1371 | 0.2234 | 1.1371 | 1.0664 |
| No log | 1.3846 | 18 | 1.1217 | 0.2378 | 1.1217 | 1.0591 |
| No log | 1.5385 | 20 | 1.1289 | 0.2068 | 1.1289 | 1.0625 |
| No log | 1.6923 | 22 | 1.1797 | 0.1354 | 1.1797 | 1.0861 |
| No log | 1.8462 | 24 | 1.2750 | 0.1196 | 1.2750 | 1.1292 |
| No log | 2.0 | 26 | 1.3900 | 0.0865 | 1.3900 | 1.1790 |
| No log | 2.1538 | 28 | 1.3618 | 0.0651 | 1.3618 | 1.1670 |
| No log | 2.3077 | 30 | 1.6206 | 0.0426 | 1.6206 | 1.2730 |
| No log | 2.4615 | 32 | 1.6800 | 0.0169 | 1.6800 | 1.2961 |
| No log | 2.6154 | 34 | 1.4167 | 0.0537 | 1.4167 | 1.1902 |
| No log | 2.7692 | 36 | 1.1998 | 0.1756 | 1.1998 | 1.0953 |
| No log | 2.9231 | 38 | 1.1088 | 0.2374 | 1.1088 | 1.0530 |
| No log | 3.0769 | 40 | 1.1344 | 0.3317 | 1.1344 | 1.0651 |
| No log | 3.2308 | 42 | 1.0581 | 0.2904 | 1.0581 | 1.0287 |
| No log | 3.3846 | 44 | 1.0910 | 0.3149 | 1.0910 | 1.0445 |
| No log | 3.5385 | 46 | 1.0478 | 0.4489 | 1.0478 | 1.0236 |
| No log | 3.6923 | 48 | 1.1305 | 0.3418 | 1.1305 | 1.0633 |
| No log | 3.8462 | 50 | 1.1341 | 0.2555 | 1.1341 | 1.0649 |
| No log | 4.0 | 52 | 1.0846 | 0.4087 | 1.0846 | 1.0414 |
| No log | 4.1538 | 54 | 1.0727 | 0.3496 | 1.0727 | 1.0357 |
| No log | 4.3077 | 56 | 1.0805 | 0.3902 | 1.0805 | 1.0395 |
| No log | 4.4615 | 58 | 1.2041 | 0.1514 | 1.2041 | 1.0973 |
| No log | 4.6154 | 60 | 1.1103 | 0.2058 | 1.1103 | 1.0537 |
| No log | 4.7692 | 62 | 0.9576 | 0.4874 | 0.9576 | 0.9786 |
| No log | 4.9231 | 64 | 1.0090 | 0.3941 | 1.0090 | 1.0045 |
| No log | 5.0769 | 66 | 1.0759 | 0.4219 | 1.0759 | 1.0373 |
| No log | 5.2308 | 68 | 0.9110 | 0.4595 | 0.9110 | 0.9545 |
| No log | 5.3846 | 70 | 1.0118 | 0.3886 | 1.0118 | 1.0059 |
| No log | 5.5385 | 72 | 1.0686 | 0.3100 | 1.0686 | 1.0337 |
| No log | 5.6923 | 74 | 0.9573 | 0.4393 | 0.9573 | 0.9784 |
| No log | 5.8462 | 76 | 0.9363 | 0.4142 | 0.9363 | 0.9676 |
| No log | 6.0 | 78 | 0.9689 | 0.3632 | 0.9689 | 0.9843 |
| No log | 6.1538 | 80 | 0.9147 | 0.4180 | 0.9147 | 0.9564 |
| No log | 6.3077 | 82 | 0.9153 | 0.4118 | 0.9153 | 0.9567 |
| No log | 6.4615 | 84 | 0.9505 | 0.4371 | 0.9505 | 0.9749 |
| No log | 6.6154 | 86 | 0.9111 | 0.4042 | 0.9111 | 0.9545 |
| No log | 6.7692 | 88 | 0.9210 | 0.5211 | 0.9210 | 0.9597 |
| No log | 6.9231 | 90 | 0.9694 | 0.4822 | 0.9694 | 0.9846 |
| No log | 7.0769 | 92 | 0.9281 | 0.4894 | 0.9281 | 0.9634 |
| No log | 7.2308 | 94 | 0.9197 | 0.4091 | 0.9197 | 0.9590 |
| No log | 7.3846 | 96 | 0.9123 | 0.3991 | 0.9123 | 0.9552 |
| No log | 7.5385 | 98 | 0.9006 | 0.4159 | 0.9006 | 0.9490 |
| No log | 7.6923 | 100 | 0.8944 | 0.4294 | 0.8944 | 0.9457 |
| No log | 7.8462 | 102 | 0.9145 | 0.4016 | 0.9145 | 0.9563 |
| No log | 8.0 | 104 | 1.0831 | 0.4218 | 1.0831 | 1.0407 |
| No log | 8.1538 | 106 | 1.0127 | 0.4131 | 1.0127 | 1.0063 |
| No log | 8.3077 | 108 | 0.9005 | 0.4104 | 0.9005 | 0.9490 |
| No log | 8.4615 | 110 | 0.8805 | 0.4328 | 0.8805 | 0.9383 |
| No log | 8.6154 | 112 | 0.9326 | 0.4522 | 0.9326 | 0.9657 |
| No log | 8.7692 | 114 | 0.9007 | 0.4361 | 0.9007 | 0.9490 |
| No log | 8.9231 | 116 | 0.9011 | 0.4460 | 0.9011 | 0.9493 |
| No log | 9.0769 | 118 | 0.8871 | 0.4424 | 0.8871 | 0.9418 |
| No log | 9.2308 | 120 | 0.8812 | 0.4424 | 0.8812 | 0.9387 |
| No log | 9.3846 | 122 | 0.8608 | 0.3979 | 0.8608 | 0.9278 |
| No log | 9.5385 | 124 | 0.8793 | 0.4661 | 0.8793 | 0.9377 |
| No log | 9.6923 | 126 | 0.8857 | 0.5025 | 0.8857 | 0.9411 |
| No log | 9.8462 | 128 | 0.8611 | 0.4397 | 0.8611 | 0.9280 |
| No log | 10.0 | 130 | 0.8457 | 0.3974 | 0.8457 | 0.9196 |
| No log | 10.1538 | 132 | 0.8566 | 0.3695 | 0.8566 | 0.9255 |
| No log | 10.3077 | 134 | 0.8428 | 0.4413 | 0.8428 | 0.9181 |
| No log | 10.4615 | 136 | 0.8314 | 0.4686 | 0.8314 | 0.9118 |
| No log | 10.6154 | 138 | 0.8532 | 0.4590 | 0.8532 | 0.9237 |
| No log | 10.7692 | 140 | 0.8538 | 0.4590 | 0.8538 | 0.9240 |
| No log | 10.9231 | 142 | 0.9495 | 0.5110 | 0.9495 | 0.9744 |
| No log | 11.0769 | 144 | 0.8937 | 0.4763 | 0.8937 | 0.9454 |
| No log | 11.2308 | 146 | 0.8299 | 0.4661 | 0.8299 | 0.9110 |
| No log | 11.3846 | 148 | 0.8159 | 0.4321 | 0.8159 | 0.9032 |
| No log | 11.5385 | 150 | 0.8280 | 0.4792 | 0.8280 | 0.9099 |
| No log | 11.6923 | 152 | 0.8217 | 0.4893 | 0.8217 | 0.9065 |
| No log | 11.8462 | 154 | 0.8358 | 0.4696 | 0.8358 | 0.9142 |
| No log | 12.0 | 156 | 0.7945 | 0.5375 | 0.7945 | 0.8913 |
| No log | 12.1538 | 158 | 0.7828 | 0.6107 | 0.7828 | 0.8847 |
| No log | 12.3077 | 160 | 0.8371 | 0.4992 | 0.8371 | 0.9149 |
| No log | 12.4615 | 162 | 0.9598 | 0.5189 | 0.9598 | 0.9797 |
| No log | 12.6154 | 164 | 0.9468 | 0.4878 | 0.9468 | 0.9730 |
| No log | 12.7692 | 166 | 0.9743 | 0.4574 | 0.9743 | 0.9871 |
| No log | 12.9231 | 168 | 0.8582 | 0.4696 | 0.8582 | 0.9264 |
| No log | 13.0769 | 170 | 0.8332 | 0.4434 | 0.8332 | 0.9128 |
| No log | 13.2308 | 172 | 0.8948 | 0.4408 | 0.8948 | 0.9459 |
| No log | 13.3846 | 174 | 0.8906 | 0.4368 | 0.8906 | 0.9437 |
| No log | 13.5385 | 176 | 0.8269 | 0.5358 | 0.8269 | 0.9093 |
| No log | 13.6923 | 178 | 0.8498 | 0.4816 | 0.8498 | 0.9218 |
| No log | 13.8462 | 180 | 0.8285 | 0.5375 | 0.8285 | 0.9102 |
| No log | 14.0 | 182 | 0.8865 | 0.3756 | 0.8865 | 0.9415 |
| No log | 14.1538 | 184 | 0.9150 | 0.4116 | 0.9150 | 0.9566 |
| No log | 14.3077 | 186 | 0.8737 | 0.3956 | 0.8737 | 0.9347 |
| No log | 14.4615 | 188 | 0.8405 | 0.4321 | 0.8405 | 0.9168 |
| No log | 14.6154 | 190 | 0.8338 | 0.4081 | 0.8338 | 0.9132 |
| No log | 14.7692 | 192 | 0.8229 | 0.4219 | 0.8229 | 0.9072 |
| No log | 14.9231 | 194 | 0.8178 | 0.4760 | 0.8178 | 0.9043 |
| No log | 15.0769 | 196 | 0.8896 | 0.4919 | 0.8896 | 0.9432 |
| No log | 15.2308 | 198 | 0.9077 | 0.5050 | 0.9077 | 0.9527 |
| No log | 15.3846 | 200 | 0.8666 | 0.4500 | 0.8666 | 0.9309 |
| No log | 15.5385 | 202 | 0.8213 | 0.4359 | 0.8213 | 0.9062 |
| No log | 15.6923 | 204 | 0.8390 | 0.4079 | 0.8390 | 0.9160 |
| No log | 15.8462 | 206 | 0.9096 | 0.4554 | 0.9096 | 0.9537 |
| No log | 16.0 | 208 | 0.8775 | 0.4350 | 0.8775 | 0.9367 |
| No log | 16.1538 | 210 | 0.8656 | 0.4157 | 0.8656 | 0.9304 |
| No log | 16.3077 | 212 | 0.9244 | 0.4624 | 0.9244 | 0.9615 |
| No log | 16.4615 | 214 | 0.9583 | 0.3644 | 0.9583 | 0.9789 |
| No log | 16.6154 | 216 | 0.8738 | 0.4337 | 0.8738 | 0.9348 |
| No log | 16.7692 | 218 | 0.8327 | 0.4033 | 0.8327 | 0.9125 |
| No log | 16.9231 | 220 | 0.8197 | 0.4033 | 0.8197 | 0.9054 |
| No log | 17.0769 | 222 | 0.8101 | 0.4140 | 0.8101 | 0.9001 |
| No log | 17.2308 | 224 | 0.8077 | 0.3884 | 0.8077 | 0.8987 |
| No log | 17.3846 | 226 | 0.8498 | 0.3756 | 0.8498 | 0.9218 |
| No log | 17.5385 | 228 | 0.8743 | 0.3846 | 0.8743 | 0.9350 |
| No log | 17.6923 | 230 | 0.8055 | 0.3814 | 0.8055 | 0.8975 |
| No log | 17.8462 | 232 | 0.8025 | 0.4962 | 0.8025 | 0.8958 |
| No log | 18.0 | 234 | 0.8197 | 0.5065 | 0.8197 | 0.9054 |
| No log | 18.1538 | 236 | 0.8278 | 0.4592 | 0.8278 | 0.9099 |
| No log | 18.3077 | 238 | 0.8498 | 0.4139 | 0.8498 | 0.9218 |
| No log | 18.4615 | 240 | 0.8694 | 0.3990 | 0.8694 | 0.9324 |
| No log | 18.6154 | 242 | 0.8686 | 0.3822 | 0.8686 | 0.9320 |
| No log | 18.7692 | 244 | 0.8814 | 0.3914 | 0.8814 | 0.9388 |
| No log | 18.9231 | 246 | 0.8564 | 0.4359 | 0.8564 | 0.9254 |
| No log | 19.0769 | 248 | 0.8484 | 0.4804 | 0.8484 | 0.9211 |
| No log | 19.2308 | 250 | 0.8474 | 0.4244 | 0.8474 | 0.9205 |
| No log | 19.3846 | 252 | 0.8488 | 0.4498 | 0.8488 | 0.9213 |
| No log | 19.5385 | 254 | 0.8522 | 0.4260 | 0.8522 | 0.9231 |
| No log | 19.6923 | 256 | 0.8301 | 0.4284 | 0.8301 | 0.9111 |
| No log | 19.8462 | 258 | 0.8280 | 0.4284 | 0.8280 | 0.9099 |
| No log | 20.0 | 260 | 0.8308 | 0.4140 | 0.8308 | 0.9115 |
| No log | 20.1538 | 262 | 0.8358 | 0.4140 | 0.8358 | 0.9142 |
| No log | 20.3077 | 264 | 0.8302 | 0.3933 | 0.8302 | 0.9112 |
| No log | 20.4615 | 266 | 0.8470 | 0.3970 | 0.8470 | 0.9203 |
| No log | 20.6154 | 268 | 0.8375 | 0.3822 | 0.8375 | 0.9151 |
| No log | 20.7692 | 270 | 0.8382 | 0.4098 | 0.8382 | 0.9155 |
| No log | 20.9231 | 272 | 0.9199 | 0.4123 | 0.9199 | 0.9591 |
| No log | 21.0769 | 274 | 0.9070 | 0.4123 | 0.9070 | 0.9524 |
| No log | 21.2308 | 276 | 0.8159 | 0.4733 | 0.8159 | 0.9033 |
| No log | 21.3846 | 278 | 0.7844 | 0.4324 | 0.7844 | 0.8857 |
| No log | 21.5385 | 280 | 0.8569 | 0.3709 | 0.8569 | 0.9257 |
| No log | 21.6923 | 282 | 0.8499 | 0.3572 | 0.8499 | 0.9219 |
| No log | 21.8462 | 284 | 0.7880 | 0.4737 | 0.7880 | 0.8877 |
| No log | 22.0 | 286 | 0.8152 | 0.5337 | 0.8152 | 0.9029 |
| No log | 22.1538 | 288 | 0.8064 | 0.5150 | 0.8064 | 0.8980 |
| No log | 22.3077 | 290 | 0.8493 | 0.3657 | 0.8493 | 0.9216 |
| No log | 22.4615 | 292 | 1.0355 | 0.4171 | 1.0355 | 1.0176 |
| No log | 22.6154 | 294 | 1.0872 | 0.4787 | 1.0872 | 1.0427 |
| No log | 22.7692 | 296 | 0.9445 | 0.4098 | 0.9445 | 0.9719 |
| No log | 22.9231 | 298 | 0.7978 | 0.4737 | 0.7978 | 0.8932 |
| No log | 23.0769 | 300 | 0.8248 | 0.4946 | 0.8248 | 0.9082 |
| No log | 23.2308 | 302 | 0.8383 | 0.4912 | 0.8383 | 0.9156 |
| No log | 23.3846 | 304 | 0.8153 | 0.4638 | 0.8153 | 0.9029 |
| No log | 23.5385 | 306 | 0.8110 | 0.4638 | 0.8110 | 0.9005 |
| No log | 23.6923 | 308 | 0.8101 | 0.4638 | 0.8101 | 0.9000 |
| No log | 23.8462 | 310 | 0.7960 | 0.4712 | 0.7960 | 0.8922 |
| No log | 24.0 | 312 | 0.7886 | 0.4534 | 0.7886 | 0.8881 |
| No log | 24.1538 | 314 | 0.8007 | 0.4494 | 0.8007 | 0.8948 |
| No log | 24.3077 | 316 | 0.8018 | 0.4434 | 0.8018 | 0.8954 |
| No log | 24.4615 | 318 | 0.8158 | 0.4466 | 0.8158 | 0.9032 |
| No log | 24.6154 | 320 | 0.8734 | 0.3941 | 0.8734 | 0.9346 |
| No log | 24.7692 | 322 | 0.9634 | 0.2917 | 0.9634 | 0.9815 |
| No log | 24.9231 | 324 | 0.9722 | 0.2917 | 0.9722 | 0.9860 |
| No log | 25.0769 | 326 | 0.9122 | 0.3074 | 0.9122 | 0.9551 |
| No log | 25.2308 | 328 | 0.8439 | 0.3734 | 0.8439 | 0.9187 |
| No log | 25.3846 | 330 | 0.8264 | 0.4397 | 0.8264 | 0.9091 |
| No log | 25.5385 | 332 | 0.8469 | 0.4434 | 0.8469 | 0.9203 |
| No log | 25.6923 | 334 | 0.8627 | 0.4578 | 0.8627 | 0.9288 |
| No log | 25.8462 | 336 | 0.8761 | 0.4401 | 0.8761 | 0.9360 |
| No log | 26.0 | 338 | 0.8836 | 0.4401 | 0.8836 | 0.9400 |
| No log | 26.1538 | 340 | 0.8809 | 0.4541 | 0.8809 | 0.9386 |
| No log | 26.3077 | 342 | 0.8683 | 0.4220 | 0.8683 | 0.9318 |
| No log | 26.4615 | 344 | 0.8561 | 0.3779 | 0.8561 | 0.9253 |
| No log | 26.6154 | 346 | 0.8437 | 0.4139 | 0.8437 | 0.9186 |
| No log | 26.7692 | 348 | 0.8252 | 0.4461 | 0.8252 | 0.9084 |
| No log | 26.9231 | 350 | 0.8317 | 0.4563 | 0.8317 | 0.9120 |
| No log | 27.0769 | 352 | 0.8389 | 0.4719 | 0.8389 | 0.9159 |
| No log | 27.2308 | 354 | 0.8243 | 0.4465 | 0.8243 | 0.9079 |
| No log | 27.3846 | 356 | 0.8226 | 0.4397 | 0.8226 | 0.9069 |
| No log | 27.5385 | 358 | 0.8337 | 0.4180 | 0.8337 | 0.9131 |
| No log | 27.6923 | 360 | 0.8487 | 0.3822 | 0.8487 | 0.9212 |
| No log | 27.8462 | 362 | 0.8762 | 0.3756 | 0.8762 | 0.9361 |
| No log | 28.0 | 364 | 0.9195 | 0.3798 | 0.9195 | 0.9589 |
| No log | 28.1538 | 366 | 0.9278 | 0.3798 | 0.9278 | 0.9632 |
| No log | 28.3077 | 368 | 0.8548 | 0.4 | 0.8548 | 0.9246 |
| No log | 28.4615 | 370 | 0.8528 | 0.4824 | 0.8528 | 0.9235 |
| No log | 28.6154 | 372 | 0.9167 | 0.4884 | 0.9167 | 0.9574 |
| No log | 28.7692 | 374 | 0.8821 | 0.4203 | 0.8821 | 0.9392 |
| No log | 28.9231 | 376 | 0.8577 | 0.4592 | 0.8577 | 0.9261 |
| No log | 29.0769 | 378 | 0.8321 | 0.4389 | 0.8321 | 0.9122 |
| No log | 29.2308 | 380 | 0.8326 | 0.4258 | 0.8326 | 0.9125 |
| No log | 29.3846 | 382 | 0.8386 | 0.4434 | 0.8386 | 0.9158 |
| No log | 29.5385 | 384 | 0.8335 | 0.4324 | 0.8335 | 0.9130 |
| No log | 29.6923 | 386 | 0.8561 | 0.4244 | 0.8561 | 0.9252 |
| No log | 29.8462 | 388 | 0.9183 | 0.4444 | 0.9183 | 0.9583 |
| No log | 30.0 | 390 | 0.9601 | 0.4123 | 0.9601 | 0.9798 |
| No log | 30.1538 | 392 | 0.9150 | 0.3700 | 0.9150 | 0.9566 |
| No log | 30.3077 | 394 | 0.8685 | 0.4428 | 0.8685 | 0.9319 |
| No log | 30.4615 | 396 | 0.9553 | 0.3782 | 0.9553 | 0.9774 |
| No log | 30.6154 | 398 | 1.0403 | 0.3682 | 1.0403 | 1.0200 |
| No log | 30.7692 | 400 | 0.9816 | 0.4321 | 0.9816 | 0.9907 |
| No log | 30.9231 | 402 | 0.8894 | 0.3462 | 0.8894 | 0.9431 |
| No log | 31.0769 | 404 | 0.8578 | 0.4466 | 0.8578 | 0.9261 |
| No log | 31.2308 | 406 | 0.8641 | 0.4733 | 0.8641 | 0.9296 |
| No log | 31.3846 | 408 | 0.8679 | 0.4733 | 0.8679 | 0.9316 |
| No log | 31.5385 | 410 | 0.8617 | 0.4221 | 0.8617 | 0.9283 |
| No log | 31.6923 | 412 | 0.8779 | 0.3992 | 0.8779 | 0.9370 |
| No log | 31.8462 | 414 | 0.8789 | 0.4033 | 0.8789 | 0.9375 |
| No log | 32.0 | 416 | 0.8493 | 0.4299 | 0.8493 | 0.9216 |
| No log | 32.1538 | 418 | 0.8342 | 0.4286 | 0.8342 | 0.9133 |
| No log | 32.3077 | 420 | 0.8371 | 0.4733 | 0.8371 | 0.9149 |
| No log | 32.4615 | 422 | 0.8623 | 0.4962 | 0.8623 | 0.9286 |
| No log | 32.6154 | 424 | 0.8793 | 0.4824 | 0.8793 | 0.9377 |
| No log | 32.7692 | 426 | 0.8748 | 0.4733 | 0.8748 | 0.9353 |
| No log | 32.9231 | 428 | 0.8847 | 0.3822 | 0.8847 | 0.9406 |
| No log | 33.0769 | 430 | 0.9311 | 0.3635 | 0.9311 | 0.9649 |
| No log | 33.2308 | 432 | 0.9375 | 0.3635 | 0.9375 | 0.9683 |
| No log | 33.3846 | 434 | 0.9043 | 0.3411 | 0.9043 | 0.9509 |
| No log | 33.5385 | 436 | 0.8776 | 0.4286 | 0.8776 | 0.9368 |
| No log | 33.6923 | 438 | 0.8580 | 0.4676 | 0.8580 | 0.9263 |
| No log | 33.8462 | 440 | 0.8430 | 0.5012 | 0.8430 | 0.9182 |
| No log | 34.0 | 442 | 0.8389 | 0.4923 | 0.8389 | 0.9159 |
| No log | 34.1538 | 444 | 0.8509 | 0.3855 | 0.8509 | 0.9224 |
| No log | 34.3077 | 446 | 0.8774 | 0.3992 | 0.8774 | 0.9367 |
| No log | 34.4615 | 448 | 0.8764 | 0.3992 | 0.8764 | 0.9361 |
| No log | 34.6154 | 450 | 0.8491 | 0.4367 | 0.8491 | 0.9215 |
| No log | 34.7692 | 452 | 0.8546 | 0.4638 | 0.8546 | 0.9244 |
| No log | 34.9231 | 454 | 0.8743 | 0.4733 | 0.8743 | 0.9350 |
| No log | 35.0769 | 456 | 0.8651 | 0.4244 | 0.8651 | 0.9301 |
| No log | 35.2308 | 458 | 0.8662 | 0.4327 | 0.8662 | 0.9307 |
| No log | 35.3846 | 460 | 0.9049 | 0.3590 | 0.9049 | 0.9513 |
| No log | 35.5385 | 462 | 0.9332 | 0.3230 | 0.9332 | 0.9660 |
| No log | 35.6923 | 464 | 0.9196 | 0.3679 | 0.9196 | 0.9590 |
| No log | 35.8462 | 466 | 0.8823 | 0.4157 | 0.8823 | 0.9393 |
| No log | 36.0 | 468 | 0.8516 | 0.4033 | 0.8516 | 0.9228 |
| No log | 36.1538 | 470 | 0.8688 | 0.3990 | 0.8688 | 0.9321 |
| No log | 36.3077 | 472 | 0.8766 | 0.4346 | 0.8766 | 0.9363 |
| No log | 36.4615 | 474 | 0.8762 | 0.3847 | 0.8762 | 0.9360 |
| No log | 36.6154 | 476 | 0.8760 | 0.3990 | 0.8760 | 0.9360 |
| No log | 36.7692 | 478 | 0.8833 | 0.3990 | 0.8833 | 0.9398 |
| No log | 36.9231 | 480 | 0.8739 | 0.4139 | 0.8739 | 0.9348 |
| No log | 37.0769 | 482 | 0.8755 | 0.4139 | 0.8755 | 0.9357 |
| No log | 37.2308 | 484 | 0.8851 | 0.4138 | 0.8851 | 0.9408 |
| No log | 37.3846 | 486 | 0.8995 | 0.4289 | 0.8995 | 0.9484 |
| No log | 37.5385 | 488 | 0.9054 | 0.4289 | 0.9054 | 0.9516 |
| No log | 37.6923 | 490 | 0.9099 | 0.4289 | 0.9099 | 0.9539 |
| No log | 37.8462 | 492 | 0.9066 | 0.3990 | 0.9066 | 0.9522 |
| No log | 38.0 | 494 | 0.8913 | 0.4139 | 0.8913 | 0.9441 |
| No log | 38.1538 | 496 | 0.8801 | 0.4180 | 0.8801 | 0.9381 |
| No log | 38.3077 | 498 | 0.8882 | 0.3544 | 0.8882 | 0.9424 |
| 0.2344 | 38.4615 | 500 | 0.8787 | 0.3855 | 0.8787 | 0.9374 |
| 0.2344 | 38.6154 | 502 | 0.8602 | 0.4221 | 0.8602 | 0.9275 |
| 0.2344 | 38.7692 | 504 | 0.8569 | 0.4139 | 0.8569 | 0.9257 |
| 0.2344 | 38.9231 | 506 | 0.8799 | 0.3990 | 0.8799 | 0.9381 |
| 0.2344 | 39.0769 | 508 | 0.9001 | 0.3840 | 0.9001 | 0.9487 |
| 0.2344 | 39.2308 | 510 | 0.8887 | 0.3840 | 0.8887 | 0.9427 |
| 0.2344 | 39.3846 | 512 | 0.8719 | 0.4139 | 0.8719 | 0.9338 |
| 0.2344 | 39.5385 | 514 | 0.8868 | 0.3394 | 0.8868 | 0.9417 |
| 0.2344 | 39.6923 | 516 | 0.9068 | 0.3602 | 0.9068 | 0.9523 |
| 0.2344 | 39.8462 | 518 | 0.9066 | 0.3291 | 0.9066 | 0.9521 |
| 0.2344 | 40.0 | 520 | 0.8916 | 0.3970 | 0.8916 | 0.9442 |
| 0.2344 | 40.1538 | 522 | 0.8964 | 0.4139 | 0.8964 | 0.9468 |
| 0.2344 | 40.3077 | 524 | 0.9266 | 0.3020 | 0.9266 | 0.9626 |
| 0.2344 | 40.4615 | 526 | 0.9286 | 0.3020 | 0.9286 | 0.9636 |
| 0.2344 | 40.6154 | 528 | 0.9288 | 0.3431 | 0.9288 | 0.9637 |
| 0.2344 | 40.7692 | 530 | 0.9093 | 0.4139 | 0.9093 | 0.9536 |
| 0.2344 | 40.9231 | 532 | 0.8998 | 0.3753 | 0.8998 | 0.9486 |
| 0.2344 | 41.0769 | 534 | 0.8954 | 0.3394 | 0.8954 | 0.9462 |
| 0.2344 | 41.2308 | 536 | 0.8757 | 0.3753 | 0.8757 | 0.9358 |
| 0.2344 | 41.3846 | 538 | 0.8642 | 0.3866 | 0.8642 | 0.9296 |
| 0.2344 | 41.5385 | 540 | 0.8600 | 0.3970 | 0.8600 | 0.9274 |
| 0.2344 | 41.6923 | 542 | 0.8598 | 0.3866 | 0.8598 | 0.9273 |
| 0.2344 | 41.8462 | 544 | 0.8722 | 0.3902 | 0.8722 | 0.9339 |
| 0.2344 | 42.0 | 546 | 0.8892 | 0.3902 | 0.8892 | 0.9430 |
| 0.2344 | 42.1538 | 548 | 0.8920 | 0.3902 | 0.8920 | 0.9445 |
| 0.2344 | 42.3077 | 550 | 0.8937 | 0.4008 | 0.8937 | 0.9453 |
| 0.2344 | 42.4615 | 552 | 0.9183 | 0.3544 | 0.9183 | 0.9583 |
| 0.2344 | 42.6154 | 554 | 0.9224 | 0.3487 | 0.9224 | 0.9604 |
| 0.2344 | 42.7692 | 556 | 0.9048 | 0.3590 | 0.9048 | 0.9512 |
| 0.2344 | 42.9231 | 558 | 0.8625 | 0.4012 | 0.8625 | 0.9287 |
| 0.2344 | 43.0769 | 560 | 0.8359 | 0.3866 | 0.8359 | 0.9143 |
| 0.2344 | 43.2308 | 562 | 0.8331 | 0.4286 | 0.8331 | 0.9127 |
| 0.2344 | 43.3846 | 564 | 0.8313 | 0.4286 | 0.8313 | 0.9117 |
| 0.2344 | 43.5385 | 566 | 0.8280 | 0.4180 | 0.8280 | 0.9100 |
| 0.2344 | 43.6923 | 568 | 0.8346 | 0.3965 | 0.8346 | 0.9136 |
| 0.2344 | 43.8462 | 570 | 0.8388 | 0.3648 | 0.8388 | 0.9159 |
| 0.2344 | 44.0 | 572 | 0.8309 | 0.3753 | 0.8309 | 0.9116 |
| 0.2344 | 44.1538 | 574 | 0.8338 | 0.3753 | 0.8338 | 0.9131 |
| 0.2344 | 44.3077 | 576 | 0.8344 | 0.3753 | 0.8344 | 0.9134 |
| 0.2344 | 44.4615 | 578 | 0.8510 | 0.3951 | 0.8510 | 0.9225 |
| 0.2344 | 44.6154 | 580 | 0.8794 | 0.3992 | 0.8794 | 0.9378 |
| 0.2344 | 44.7692 | 582 | 0.8900 | 0.3546 | 0.8900 | 0.9434 |
| 0.2344 | 44.9231 | 584 | 0.8742 | 0.3441 | 0.8742 | 0.9350 |
| 0.2344 | 45.0769 | 586 | 0.8670 | 0.3441 | 0.8670 | 0.9311 |
| 0.2344 | 45.2308 | 588 | 0.8590 | 0.3544 | 0.8590 | 0.9268 |
| 0.2344 | 45.3846 | 590 | 0.8609 | 0.3753 | 0.8609 | 0.9278 |
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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k3_task2_organization
Base model
aubmindlab/bert-base-arabertv02