Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task5_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_run1_AugV5_k15_task5_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_run1_AugV5_k15_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task5_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: 0.8591
- Qwk: 0.3536
- Mse: 0.8591
- Rmse: 0.9269
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 | 0.0278 | 2 | 3.9144 | -0.0151 | 3.9144 | 1.9785 |
| No log | 0.0556 | 4 | 2.2272 | 0.0372 | 2.2272 | 1.4924 |
| No log | 0.0833 | 6 | 1.5982 | 0.0465 | 1.5982 | 1.2642 |
| No log | 0.1111 | 8 | 1.1829 | 0.1160 | 1.1829 | 1.0876 |
| No log | 0.1389 | 10 | 1.3254 | 0.1426 | 1.3254 | 1.1513 |
| No log | 0.1667 | 12 | 2.0910 | -0.0029 | 2.0910 | 1.4460 |
| No log | 0.1944 | 14 | 1.7901 | 0.0262 | 1.7901 | 1.3380 |
| No log | 0.2222 | 16 | 1.3761 | -0.0245 | 1.3761 | 1.1731 |
| No log | 0.25 | 18 | 1.1977 | 0.1091 | 1.1977 | 1.0944 |
| No log | 0.2778 | 20 | 1.1812 | 0.0970 | 1.1812 | 1.0869 |
| No log | 0.3056 | 22 | 1.2745 | 0.0256 | 1.2745 | 1.1289 |
| No log | 0.3333 | 24 | 1.5396 | -0.0032 | 1.5396 | 1.2408 |
| No log | 0.3611 | 26 | 1.5693 | 0.0116 | 1.5693 | 1.2527 |
| No log | 0.3889 | 28 | 1.4613 | 0.0116 | 1.4613 | 1.2088 |
| No log | 0.4167 | 30 | 1.2352 | 0.0436 | 1.2352 | 1.1114 |
| No log | 0.4444 | 32 | 1.0642 | 0.2217 | 1.0642 | 1.0316 |
| No log | 0.4722 | 34 | 1.0485 | 0.2788 | 1.0485 | 1.0240 |
| No log | 0.5 | 36 | 1.1372 | 0.1901 | 1.1372 | 1.0664 |
| No log | 0.5278 | 38 | 1.2181 | 0.1444 | 1.2181 | 1.1037 |
| No log | 0.5556 | 40 | 1.4195 | 0.1228 | 1.4195 | 1.1914 |
| No log | 0.5833 | 42 | 1.4071 | 0.1228 | 1.4071 | 1.1862 |
| No log | 0.6111 | 44 | 1.2289 | 0.1858 | 1.2289 | 1.1086 |
| No log | 0.6389 | 46 | 1.0580 | 0.2318 | 1.0580 | 1.0286 |
| No log | 0.6667 | 48 | 0.9902 | 0.3078 | 0.9902 | 0.9951 |
| No log | 0.6944 | 50 | 0.9768 | 0.4186 | 0.9768 | 0.9883 |
| No log | 0.7222 | 52 | 1.0003 | 0.2986 | 1.0003 | 1.0002 |
| No log | 0.75 | 54 | 1.1072 | 0.3049 | 1.1072 | 1.0522 |
| No log | 0.7778 | 56 | 1.0829 | 0.2864 | 1.0829 | 1.0406 |
| No log | 0.8056 | 58 | 1.0549 | 0.3243 | 1.0549 | 1.0271 |
| No log | 0.8333 | 60 | 0.9773 | 0.4252 | 0.9773 | 0.9886 |
| No log | 0.8611 | 62 | 0.9858 | 0.4252 | 0.9858 | 0.9929 |
| No log | 0.8889 | 64 | 0.9743 | 0.3983 | 0.9743 | 0.9871 |
| No log | 0.9167 | 66 | 0.9704 | 0.4345 | 0.9704 | 0.9851 |
| No log | 0.9444 | 68 | 0.9671 | 0.3198 | 0.9671 | 0.9834 |
| No log | 0.9722 | 70 | 0.9669 | 0.4164 | 0.9669 | 0.9833 |
| No log | 1.0 | 72 | 0.9920 | 0.4405 | 0.9920 | 0.9960 |
| No log | 1.0278 | 74 | 0.9638 | 0.4550 | 0.9638 | 0.9818 |
| No log | 1.0556 | 76 | 0.9561 | 0.4565 | 0.9561 | 0.9778 |
| No log | 1.0833 | 78 | 0.9502 | 0.3218 | 0.9502 | 0.9748 |
| No log | 1.1111 | 80 | 0.9540 | 0.4059 | 0.9540 | 0.9767 |
| No log | 1.1389 | 82 | 1.0046 | 0.3522 | 1.0046 | 1.0023 |
| No log | 1.1667 | 84 | 1.0646 | 0.2473 | 1.0646 | 1.0318 |
| No log | 1.1944 | 86 | 1.0081 | 0.4398 | 1.0081 | 1.0040 |
| No log | 1.2222 | 88 | 0.9848 | 0.4557 | 0.9848 | 0.9924 |
| No log | 1.25 | 90 | 0.9697 | 0.4321 | 0.9697 | 0.9847 |
| No log | 1.2778 | 92 | 0.9295 | 0.4305 | 0.9295 | 0.9641 |
| No log | 1.3056 | 94 | 0.9822 | 0.3350 | 0.9822 | 0.9911 |
| No log | 1.3333 | 96 | 0.9112 | 0.4053 | 0.9112 | 0.9546 |
| No log | 1.3611 | 98 | 0.8892 | 0.4229 | 0.8892 | 0.9430 |
| No log | 1.3889 | 100 | 0.9015 | 0.4203 | 0.9015 | 0.9495 |
| No log | 1.4167 | 102 | 0.9250 | 0.3821 | 0.9250 | 0.9617 |
| No log | 1.4444 | 104 | 0.9389 | 0.4045 | 0.9389 | 0.9690 |
| No log | 1.4722 | 106 | 1.0042 | 0.4019 | 1.0042 | 1.0021 |
| No log | 1.5 | 108 | 1.0968 | 0.3243 | 1.0968 | 1.0473 |
| No log | 1.5278 | 110 | 0.9747 | 0.4202 | 0.9747 | 0.9873 |
| No log | 1.5556 | 112 | 0.9725 | 0.4202 | 0.9725 | 0.9861 |
| No log | 1.5833 | 114 | 1.0177 | 0.4331 | 1.0177 | 1.0088 |
| No log | 1.6111 | 116 | 0.8935 | 0.4970 | 0.8935 | 0.9452 |
| No log | 1.6389 | 118 | 0.8874 | 0.4799 | 0.8874 | 0.9420 |
| No log | 1.6667 | 120 | 0.9047 | 0.4017 | 0.9047 | 0.9511 |
| No log | 1.6944 | 122 | 0.9258 | 0.4169 | 0.9258 | 0.9622 |
| No log | 1.7222 | 124 | 1.0541 | 0.3140 | 1.0541 | 1.0267 |
| No log | 1.75 | 126 | 1.1362 | 0.2748 | 1.1362 | 1.0659 |
| No log | 1.7778 | 128 | 1.1643 | 0.2773 | 1.1643 | 1.0790 |
| No log | 1.8056 | 130 | 1.1040 | 0.2175 | 1.1040 | 1.0507 |
| No log | 1.8333 | 132 | 1.0177 | 0.2909 | 1.0177 | 1.0088 |
| No log | 1.8611 | 134 | 0.9735 | 0.3559 | 0.9735 | 0.9867 |
| No log | 1.8889 | 136 | 0.9777 | 0.3326 | 0.9777 | 0.9888 |
| No log | 1.9167 | 138 | 1.0219 | 0.2408 | 1.0219 | 1.0109 |
| No log | 1.9444 | 140 | 1.1027 | 0.3081 | 1.1027 | 1.0501 |
| No log | 1.9722 | 142 | 1.0709 | 0.2505 | 1.0709 | 1.0348 |
| No log | 2.0 | 144 | 1.0081 | 0.2796 | 1.0081 | 1.0041 |
| No log | 2.0278 | 146 | 0.9939 | 0.2553 | 0.9939 | 0.9970 |
| No log | 2.0556 | 148 | 0.9686 | 0.3306 | 0.9686 | 0.9842 |
| No log | 2.0833 | 150 | 0.9393 | 0.3949 | 0.9393 | 0.9692 |
| No log | 2.1111 | 152 | 0.9385 | 0.3858 | 0.9385 | 0.9687 |
| No log | 2.1389 | 154 | 0.9463 | 0.3736 | 0.9463 | 0.9728 |
| No log | 2.1667 | 156 | 0.9137 | 0.4429 | 0.9137 | 0.9559 |
| No log | 2.1944 | 158 | 0.8704 | 0.4434 | 0.8704 | 0.9330 |
| No log | 2.2222 | 160 | 0.9234 | 0.4323 | 0.9234 | 0.9609 |
| No log | 2.25 | 162 | 0.9681 | 0.4233 | 0.9681 | 0.9839 |
| No log | 2.2778 | 164 | 0.8684 | 0.4147 | 0.8684 | 0.9319 |
| No log | 2.3056 | 166 | 0.8083 | 0.5074 | 0.8083 | 0.8990 |
| No log | 2.3333 | 168 | 0.9037 | 0.5138 | 0.9037 | 0.9506 |
| No log | 2.3611 | 170 | 1.0420 | 0.4114 | 1.0420 | 1.0208 |
| No log | 2.3889 | 172 | 1.0407 | 0.4234 | 1.0407 | 1.0202 |
| No log | 2.4167 | 174 | 0.9629 | 0.4327 | 0.9629 | 0.9813 |
| No log | 2.4444 | 176 | 0.8601 | 0.5462 | 0.8601 | 0.9274 |
| No log | 2.4722 | 178 | 0.7986 | 0.5226 | 0.7986 | 0.8937 |
| No log | 2.5 | 180 | 0.7951 | 0.4450 | 0.7951 | 0.8917 |
| No log | 2.5278 | 182 | 0.8229 | 0.3940 | 0.8229 | 0.9071 |
| No log | 2.5556 | 184 | 0.8961 | 0.4039 | 0.8961 | 0.9466 |
| No log | 2.5833 | 186 | 0.8645 | 0.3229 | 0.8645 | 0.9298 |
| No log | 2.6111 | 188 | 0.8113 | 0.4180 | 0.8113 | 0.9007 |
| No log | 2.6389 | 190 | 0.8027 | 0.4461 | 0.8027 | 0.8959 |
| No log | 2.6667 | 192 | 0.8047 | 0.5116 | 0.8047 | 0.8971 |
| No log | 2.6944 | 194 | 0.8743 | 0.4826 | 0.8743 | 0.9350 |
| No log | 2.7222 | 196 | 0.8907 | 0.4708 | 0.8907 | 0.9438 |
| No log | 2.75 | 198 | 0.8154 | 0.5121 | 0.8154 | 0.9030 |
| No log | 2.7778 | 200 | 0.8154 | 0.4852 | 0.8154 | 0.9030 |
| No log | 2.8056 | 202 | 0.9284 | 0.4700 | 0.9284 | 0.9635 |
| No log | 2.8333 | 204 | 1.2134 | 0.3564 | 1.2134 | 1.1015 |
| No log | 2.8611 | 206 | 1.1769 | 0.3525 | 1.1769 | 1.0849 |
| No log | 2.8889 | 208 | 0.9423 | 0.3976 | 0.9423 | 0.9707 |
| No log | 2.9167 | 210 | 0.9040 | 0.3218 | 0.9040 | 0.9508 |
| No log | 2.9444 | 212 | 0.9164 | 0.3218 | 0.9164 | 0.9573 |
| No log | 2.9722 | 214 | 0.9273 | 0.3708 | 0.9273 | 0.9630 |
| No log | 3.0 | 216 | 0.9704 | 0.3891 | 0.9704 | 0.9851 |
| No log | 3.0278 | 218 | 0.9529 | 0.3708 | 0.9529 | 0.9762 |
| No log | 3.0556 | 220 | 0.9684 | 0.2929 | 0.9684 | 0.9841 |
| No log | 3.0833 | 222 | 1.0614 | 0.3691 | 1.0614 | 1.0303 |
| No log | 3.1111 | 224 | 1.0264 | 0.3824 | 1.0264 | 1.0131 |
| No log | 3.1389 | 226 | 0.9423 | 0.3276 | 0.9423 | 0.9707 |
| No log | 3.1667 | 228 | 0.9253 | 0.3998 | 0.9253 | 0.9619 |
| No log | 3.1944 | 230 | 0.9018 | 0.3729 | 0.9018 | 0.9496 |
| No log | 3.2222 | 232 | 0.8968 | 0.3981 | 0.8968 | 0.9470 |
| No log | 3.25 | 234 | 0.9221 | 0.3256 | 0.9221 | 0.9603 |
| No log | 3.2778 | 236 | 0.8938 | 0.4042 | 0.8938 | 0.9454 |
| No log | 3.3056 | 238 | 0.8634 | 0.4802 | 0.8634 | 0.9292 |
| No log | 3.3333 | 240 | 1.0162 | 0.3993 | 1.0162 | 1.0081 |
| No log | 3.3611 | 242 | 1.1646 | 0.2690 | 1.1646 | 1.0792 |
| No log | 3.3889 | 244 | 1.0332 | 0.4144 | 1.0332 | 1.0165 |
| No log | 3.4167 | 246 | 0.8400 | 0.5163 | 0.8400 | 0.9165 |
| No log | 3.4444 | 248 | 0.8966 | 0.4840 | 0.8966 | 0.9469 |
| No log | 3.4722 | 250 | 0.9709 | 0.4496 | 0.9709 | 0.9853 |
| No log | 3.5 | 252 | 0.9467 | 0.5052 | 0.9467 | 0.9730 |
| No log | 3.5278 | 254 | 0.8715 | 0.4444 | 0.8715 | 0.9335 |
| No log | 3.5556 | 256 | 0.8957 | 0.4159 | 0.8957 | 0.9464 |
| No log | 3.5833 | 258 | 0.8897 | 0.3854 | 0.8897 | 0.9432 |
| No log | 3.6111 | 260 | 0.8683 | 0.4428 | 0.8683 | 0.9318 |
| No log | 3.6389 | 262 | 0.8643 | 0.3960 | 0.8643 | 0.9297 |
| No log | 3.6667 | 264 | 0.8907 | 0.3404 | 0.8907 | 0.9437 |
| No log | 3.6944 | 266 | 0.9344 | 0.4573 | 0.9344 | 0.9667 |
| No log | 3.7222 | 268 | 0.9205 | 0.4470 | 0.9205 | 0.9594 |
| No log | 3.75 | 270 | 0.8612 | 0.4471 | 0.8612 | 0.9280 |
| No log | 3.7778 | 272 | 0.8335 | 0.5235 | 0.8335 | 0.9130 |
| No log | 3.8056 | 274 | 0.8262 | 0.4770 | 0.8262 | 0.9090 |
| No log | 3.8333 | 276 | 0.8388 | 0.4368 | 0.8388 | 0.9159 |
| No log | 3.8611 | 278 | 0.8356 | 0.4385 | 0.8356 | 0.9141 |
| No log | 3.8889 | 280 | 0.8459 | 0.4499 | 0.8459 | 0.9198 |
| No log | 3.9167 | 282 | 0.8788 | 0.4615 | 0.8788 | 0.9374 |
| No log | 3.9444 | 284 | 0.8435 | 0.4782 | 0.8435 | 0.9184 |
| No log | 3.9722 | 286 | 0.8582 | 0.4972 | 0.8582 | 0.9264 |
| No log | 4.0 | 288 | 0.8891 | 0.4986 | 0.8891 | 0.9429 |
| No log | 4.0278 | 290 | 0.8736 | 0.5263 | 0.8736 | 0.9347 |
| No log | 4.0556 | 292 | 0.8535 | 0.5164 | 0.8535 | 0.9239 |
| No log | 4.0833 | 294 | 0.8553 | 0.4972 | 0.8553 | 0.9248 |
| No log | 4.1111 | 296 | 0.8264 | 0.4849 | 0.8264 | 0.9091 |
| No log | 4.1389 | 298 | 0.8380 | 0.4657 | 0.8380 | 0.9154 |
| No log | 4.1667 | 300 | 0.8128 | 0.4521 | 0.8128 | 0.9016 |
| No log | 4.1944 | 302 | 0.8110 | 0.4371 | 0.8110 | 0.9005 |
| No log | 4.2222 | 304 | 0.8321 | 0.4234 | 0.8321 | 0.9122 |
| No log | 4.25 | 306 | 0.8098 | 0.4151 | 0.8098 | 0.8999 |
| No log | 4.2778 | 308 | 0.8147 | 0.4113 | 0.8147 | 0.9026 |
| No log | 4.3056 | 310 | 0.8272 | 0.4113 | 0.8272 | 0.9095 |
| No log | 4.3333 | 312 | 0.8250 | 0.4676 | 0.8250 | 0.9083 |
| No log | 4.3611 | 314 | 0.8724 | 0.5084 | 0.8724 | 0.9340 |
| No log | 4.3889 | 316 | 0.9935 | 0.3787 | 0.9935 | 0.9968 |
| No log | 4.4167 | 318 | 1.0584 | 0.2961 | 1.0584 | 1.0288 |
| No log | 4.4444 | 320 | 1.0713 | 0.2820 | 1.0713 | 1.0350 |
| No log | 4.4722 | 322 | 1.0220 | 0.2961 | 1.0220 | 1.0109 |
| No log | 4.5 | 324 | 0.9373 | 0.3045 | 0.9373 | 0.9681 |
| No log | 4.5278 | 326 | 0.8799 | 0.4279 | 0.8799 | 0.9380 |
| No log | 4.5556 | 328 | 0.8647 | 0.4705 | 0.8647 | 0.9299 |
| No log | 4.5833 | 330 | 0.8805 | 0.4159 | 0.8805 | 0.9383 |
| No log | 4.6111 | 332 | 0.9266 | 0.4098 | 0.9266 | 0.9626 |
| No log | 4.6389 | 334 | 0.9672 | 0.3938 | 0.9672 | 0.9835 |
| No log | 4.6667 | 336 | 0.9066 | 0.4068 | 0.9066 | 0.9522 |
| No log | 4.6944 | 338 | 0.8159 | 0.3702 | 0.8159 | 0.9032 |
| No log | 4.7222 | 340 | 0.7935 | 0.3960 | 0.7935 | 0.8908 |
| No log | 4.75 | 342 | 0.7987 | 0.4490 | 0.7987 | 0.8937 |
| No log | 4.7778 | 344 | 0.8016 | 0.4490 | 0.8016 | 0.8953 |
| No log | 4.8056 | 346 | 0.8114 | 0.4223 | 0.8114 | 0.9008 |
| No log | 4.8333 | 348 | 0.8242 | 0.4097 | 0.8242 | 0.9078 |
| No log | 4.8611 | 350 | 0.8299 | 0.3959 | 0.8299 | 0.9110 |
| No log | 4.8889 | 352 | 0.8450 | 0.3959 | 0.8450 | 0.9193 |
| No log | 4.9167 | 354 | 0.8617 | 0.3682 | 0.8617 | 0.9283 |
| No log | 4.9444 | 356 | 0.8691 | 0.3673 | 0.8691 | 0.9323 |
| No log | 4.9722 | 358 | 0.8914 | 0.3258 | 0.8914 | 0.9441 |
| No log | 5.0 | 360 | 0.9229 | 0.2647 | 0.9229 | 0.9607 |
| No log | 5.0278 | 362 | 0.9558 | 0.2553 | 0.9558 | 0.9777 |
| No log | 5.0556 | 364 | 0.9791 | 0.2865 | 0.9791 | 0.9895 |
| No log | 5.0833 | 366 | 0.9637 | 0.2830 | 0.9637 | 0.9817 |
| No log | 5.1111 | 368 | 0.9044 | 0.3729 | 0.9044 | 0.9510 |
| No log | 5.1389 | 370 | 0.9095 | 0.4747 | 0.9095 | 0.9537 |
| No log | 5.1667 | 372 | 0.9098 | 0.4643 | 0.9098 | 0.9539 |
| No log | 5.1944 | 374 | 0.9048 | 0.3354 | 0.9048 | 0.9512 |
| No log | 5.2222 | 376 | 0.9863 | 0.2865 | 0.9863 | 0.9931 |
| No log | 5.25 | 378 | 1.0529 | 0.2723 | 1.0529 | 1.0261 |
| No log | 5.2778 | 380 | 1.0156 | 0.2408 | 1.0156 | 1.0077 |
| No log | 5.3056 | 382 | 0.9336 | 0.3306 | 0.9336 | 0.9662 |
| No log | 5.3333 | 384 | 0.9261 | 0.3382 | 0.9261 | 0.9624 |
| No log | 5.3611 | 386 | 0.9818 | 0.3779 | 0.9818 | 0.9909 |
| No log | 5.3889 | 388 | 0.9423 | 0.4112 | 0.9423 | 0.9707 |
| No log | 5.4167 | 390 | 0.8606 | 0.4471 | 0.8606 | 0.9277 |
| No log | 5.4444 | 392 | 0.9403 | 0.4920 | 0.9403 | 0.9697 |
| No log | 5.4722 | 394 | 1.0616 | 0.3753 | 1.0616 | 1.0304 |
| No log | 5.5 | 396 | 0.9973 | 0.3863 | 0.9973 | 0.9987 |
| No log | 5.5278 | 398 | 0.8636 | 0.4484 | 0.8636 | 0.9293 |
| No log | 5.5556 | 400 | 0.8413 | 0.4691 | 0.8413 | 0.9172 |
| No log | 5.5833 | 402 | 0.8531 | 0.4834 | 0.8531 | 0.9236 |
| No log | 5.6111 | 404 | 0.8452 | 0.4592 | 0.8452 | 0.9194 |
| No log | 5.6389 | 406 | 0.8300 | 0.4398 | 0.8300 | 0.9110 |
| No log | 5.6667 | 408 | 0.8568 | 0.3250 | 0.8568 | 0.9256 |
| No log | 5.6944 | 410 | 0.8833 | 0.3434 | 0.8833 | 0.9399 |
| No log | 5.7222 | 412 | 0.9099 | 0.3710 | 0.9099 | 0.9539 |
| No log | 5.75 | 414 | 0.9509 | 0.3972 | 0.9509 | 0.9752 |
| No log | 5.7778 | 416 | 0.9614 | 0.4234 | 0.9614 | 0.9805 |
| No log | 5.8056 | 418 | 0.8870 | 0.4202 | 0.8870 | 0.9418 |
| No log | 5.8333 | 420 | 0.8718 | 0.4543 | 0.8718 | 0.9337 |
| No log | 5.8611 | 422 | 0.8752 | 0.4056 | 0.8752 | 0.9355 |
| No log | 5.8889 | 424 | 0.8991 | 0.4586 | 0.8991 | 0.9482 |
| No log | 5.9167 | 426 | 0.9374 | 0.3424 | 0.9374 | 0.9682 |
| No log | 5.9444 | 428 | 0.9260 | 0.2582 | 0.9260 | 0.9623 |
| No log | 5.9722 | 430 | 0.8921 | 0.3424 | 0.8921 | 0.9445 |
| No log | 6.0 | 432 | 0.8532 | 0.4746 | 0.8532 | 0.9237 |
| No log | 6.0278 | 434 | 0.8525 | 0.3896 | 0.8525 | 0.9233 |
| No log | 6.0556 | 436 | 0.8540 | 0.4163 | 0.8540 | 0.9241 |
| No log | 6.0833 | 438 | 0.8548 | 0.4878 | 0.8548 | 0.9245 |
| No log | 6.1111 | 440 | 0.9145 | 0.3845 | 0.9145 | 0.9563 |
| No log | 6.1389 | 442 | 1.0035 | 0.3761 | 1.0035 | 1.0017 |
| No log | 6.1667 | 444 | 0.9963 | 0.3761 | 0.9963 | 0.9982 |
| No log | 6.1944 | 446 | 0.9308 | 0.3590 | 0.9308 | 0.9648 |
| No log | 6.2222 | 448 | 0.8603 | 0.4318 | 0.8603 | 0.9275 |
| No log | 6.25 | 450 | 0.8352 | 0.3590 | 0.8352 | 0.9139 |
| No log | 6.2778 | 452 | 0.8370 | 0.3467 | 0.8370 | 0.9149 |
| No log | 6.3056 | 454 | 0.8394 | 0.4105 | 0.8394 | 0.9162 |
| No log | 6.3333 | 456 | 0.8767 | 0.3902 | 0.8767 | 0.9363 |
| No log | 6.3611 | 458 | 0.9036 | 0.2200 | 0.9036 | 0.9506 |
| No log | 6.3889 | 460 | 0.8859 | 0.4214 | 0.8859 | 0.9412 |
| No log | 6.4167 | 462 | 0.8949 | 0.4595 | 0.8949 | 0.9460 |
| No log | 6.4444 | 464 | 0.8792 | 0.4595 | 0.8792 | 0.9377 |
| No log | 6.4722 | 466 | 0.8707 | 0.4823 | 0.8707 | 0.9331 |
| No log | 6.5 | 468 | 0.8674 | 0.4241 | 0.8674 | 0.9313 |
| No log | 6.5278 | 470 | 0.8190 | 0.4119 | 0.8190 | 0.9050 |
| No log | 6.5556 | 472 | 0.8168 | 0.4405 | 0.8168 | 0.9038 |
| No log | 6.5833 | 474 | 0.8219 | 0.4405 | 0.8219 | 0.9066 |
| No log | 6.6111 | 476 | 0.8393 | 0.3979 | 0.8393 | 0.9162 |
| No log | 6.6389 | 478 | 0.8480 | 0.4067 | 0.8480 | 0.9209 |
| No log | 6.6667 | 480 | 0.8383 | 0.4101 | 0.8383 | 0.9156 |
| No log | 6.6944 | 482 | 0.8298 | 0.4101 | 0.8298 | 0.9109 |
| No log | 6.7222 | 484 | 0.8159 | 0.3998 | 0.8159 | 0.9033 |
| No log | 6.75 | 486 | 0.8350 | 0.4639 | 0.8350 | 0.9138 |
| No log | 6.7778 | 488 | 0.8596 | 0.4782 | 0.8596 | 0.9271 |
| No log | 6.8056 | 490 | 0.8184 | 0.5239 | 0.8184 | 0.9047 |
| No log | 6.8333 | 492 | 0.8155 | 0.4067 | 0.8155 | 0.9030 |
| No log | 6.8611 | 494 | 0.8374 | 0.4593 | 0.8374 | 0.9151 |
| No log | 6.8889 | 496 | 0.8225 | 0.3922 | 0.8225 | 0.9069 |
| No log | 6.9167 | 498 | 0.7935 | 0.4119 | 0.7935 | 0.8908 |
| 0.2706 | 6.9444 | 500 | 0.8045 | 0.4585 | 0.8045 | 0.8969 |
| 0.2706 | 6.9722 | 502 | 0.8234 | 0.4585 | 0.8234 | 0.9074 |
| 0.2706 | 7.0 | 504 | 0.8111 | 0.4709 | 0.8111 | 0.9006 |
| 0.2706 | 7.0278 | 506 | 0.8001 | 0.4017 | 0.8001 | 0.8945 |
| 0.2706 | 7.0556 | 508 | 0.8451 | 0.4843 | 0.8451 | 0.9193 |
| 0.2706 | 7.0833 | 510 | 0.8827 | 0.3973 | 0.8827 | 0.9395 |
| 0.2706 | 7.1111 | 512 | 0.8490 | 0.4725 | 0.8490 | 0.9214 |
| 0.2706 | 7.1389 | 514 | 0.8272 | 0.4754 | 0.8272 | 0.9095 |
| 0.2706 | 7.1667 | 516 | 0.8113 | 0.4519 | 0.8113 | 0.9007 |
| 0.2706 | 7.1944 | 518 | 0.7836 | 0.5054 | 0.7836 | 0.8852 |
| 0.2706 | 7.2222 | 520 | 0.7883 | 0.4321 | 0.7883 | 0.8879 |
| 0.2706 | 7.25 | 522 | 0.7934 | 0.4422 | 0.7934 | 0.8907 |
| 0.2706 | 7.2778 | 524 | 0.7965 | 0.4676 | 0.7965 | 0.8925 |
| 0.2706 | 7.3056 | 526 | 0.7999 | 0.4776 | 0.7999 | 0.8944 |
| 0.2706 | 7.3333 | 528 | 0.8246 | 0.4613 | 0.8246 | 0.9081 |
| 0.2706 | 7.3611 | 530 | 0.8456 | 0.375 | 0.8456 | 0.9196 |
| 0.2706 | 7.3889 | 532 | 0.8422 | 0.4237 | 0.8422 | 0.9177 |
| 0.2706 | 7.4167 | 534 | 0.8418 | 0.4760 | 0.8418 | 0.9175 |
| 0.2706 | 7.4444 | 536 | 0.8650 | 0.3706 | 0.8650 | 0.9300 |
| 0.2706 | 7.4722 | 538 | 0.8783 | 0.3687 | 0.8783 | 0.9372 |
| 0.2706 | 7.5 | 540 | 0.8760 | 0.3687 | 0.8760 | 0.9359 |
| 0.2706 | 7.5278 | 542 | 0.8705 | 0.3682 | 0.8705 | 0.9330 |
| 0.2706 | 7.5556 | 544 | 0.8591 | 0.3536 | 0.8591 | 0.9269 |
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_run1_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02