Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_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: 0.9112
- Qwk: 0.4214
- Mse: 0.9112
- Rmse: 0.9546
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 | 0.0588 | 2 | 3.8692 | -0.0108 | 3.8692 | 1.9670 |
| No log | 0.1176 | 4 | 2.0589 | 0.1187 | 2.0589 | 1.4349 |
| No log | 0.1765 | 6 | 1.7129 | 0.0639 | 1.7129 | 1.3088 |
| No log | 0.2353 | 8 | 1.6614 | 0.1303 | 1.6614 | 1.2889 |
| No log | 0.2941 | 10 | 1.3907 | 0.0778 | 1.3907 | 1.1793 |
| No log | 0.3529 | 12 | 1.2176 | 0.1245 | 1.2176 | 1.1034 |
| No log | 0.4118 | 14 | 0.9470 | 0.4339 | 0.9470 | 0.9731 |
| No log | 0.4706 | 16 | 0.9081 | 0.3094 | 0.9081 | 0.9530 |
| No log | 0.5294 | 18 | 0.9753 | 0.2618 | 0.9753 | 0.9876 |
| No log | 0.5882 | 20 | 1.0737 | 0.2214 | 1.0737 | 1.0362 |
| No log | 0.6471 | 22 | 1.0429 | 0.1549 | 1.0429 | 1.0212 |
| No log | 0.7059 | 24 | 0.9941 | 0.3001 | 0.9941 | 0.9971 |
| No log | 0.7647 | 26 | 1.8116 | 0.1325 | 1.8116 | 1.3460 |
| No log | 0.8235 | 28 | 2.3047 | -0.0111 | 2.3047 | 1.5181 |
| No log | 0.8824 | 30 | 1.6288 | 0.1084 | 1.6288 | 1.2762 |
| No log | 0.9412 | 32 | 1.1879 | 0.0878 | 1.1879 | 1.0899 |
| No log | 1.0 | 34 | 1.1906 | 0.1255 | 1.1906 | 1.0912 |
| No log | 1.0588 | 36 | 1.2015 | 0.1370 | 1.2015 | 1.0961 |
| No log | 1.1176 | 38 | 1.2420 | 0.1628 | 1.2420 | 1.1145 |
| No log | 1.1765 | 40 | 1.2388 | 0.2260 | 1.2388 | 1.1130 |
| No log | 1.2353 | 42 | 1.2204 | 0.2377 | 1.2204 | 1.1047 |
| No log | 1.2941 | 44 | 1.0530 | 0.2925 | 1.0530 | 1.0261 |
| No log | 1.3529 | 46 | 1.0141 | 0.2376 | 1.0141 | 1.0070 |
| No log | 1.4118 | 48 | 1.2000 | 0.1838 | 1.2000 | 1.0954 |
| No log | 1.4706 | 50 | 1.7127 | 0.1967 | 1.7127 | 1.3087 |
| No log | 1.5294 | 52 | 1.8202 | 0.1484 | 1.8202 | 1.3491 |
| No log | 1.5882 | 54 | 1.4228 | 0.1651 | 1.4228 | 1.1928 |
| No log | 1.6471 | 56 | 1.0644 | 0.2543 | 1.0644 | 1.0317 |
| No log | 1.7059 | 58 | 1.0075 | 0.2956 | 1.0075 | 1.0037 |
| No log | 1.7647 | 60 | 0.9786 | 0.3693 | 0.9786 | 0.9892 |
| No log | 1.8235 | 62 | 0.9619 | 0.3323 | 0.9619 | 0.9808 |
| No log | 1.8824 | 64 | 0.9676 | 0.2998 | 0.9676 | 0.9836 |
| No log | 1.9412 | 66 | 1.0973 | 0.2238 | 1.0973 | 1.0475 |
| No log | 2.0 | 68 | 1.1653 | 0.3344 | 1.1653 | 1.0795 |
| No log | 2.0588 | 70 | 1.0989 | 0.2857 | 1.0989 | 1.0483 |
| No log | 2.1176 | 72 | 0.9875 | 0.2549 | 0.9875 | 0.9937 |
| No log | 2.1765 | 74 | 1.0193 | 0.2316 | 1.0193 | 1.0096 |
| No log | 2.2353 | 76 | 1.3573 | 0.3095 | 1.3573 | 1.1650 |
| No log | 2.2941 | 78 | 1.7066 | 0.2299 | 1.7066 | 1.3064 |
| No log | 2.3529 | 80 | 1.5759 | 0.2689 | 1.5759 | 1.2553 |
| No log | 2.4118 | 82 | 1.3168 | 0.1817 | 1.3168 | 1.1475 |
| No log | 2.4706 | 84 | 1.1427 | 0.1739 | 1.1427 | 1.0690 |
| No log | 2.5294 | 86 | 1.0315 | 0.2352 | 1.0315 | 1.0156 |
| No log | 2.5882 | 88 | 0.9762 | 0.2063 | 0.9762 | 0.9880 |
| No log | 2.6471 | 90 | 0.9324 | 0.2954 | 0.9324 | 0.9656 |
| No log | 2.7059 | 92 | 0.9221 | 0.3271 | 0.9221 | 0.9603 |
| No log | 2.7647 | 94 | 0.9420 | 0.2348 | 0.9420 | 0.9706 |
| No log | 2.8235 | 96 | 0.9902 | 0.3142 | 0.9902 | 0.9951 |
| No log | 2.8824 | 98 | 0.8746 | 0.3818 | 0.8746 | 0.9352 |
| No log | 2.9412 | 100 | 0.8343 | 0.4411 | 0.8343 | 0.9134 |
| No log | 3.0 | 102 | 0.8400 | 0.4444 | 0.8400 | 0.9165 |
| No log | 3.0588 | 104 | 0.8216 | 0.4329 | 0.8216 | 0.9064 |
| No log | 3.1176 | 106 | 0.7866 | 0.4434 | 0.7866 | 0.8869 |
| No log | 3.1765 | 108 | 0.9532 | 0.3921 | 0.9532 | 0.9763 |
| No log | 3.2353 | 110 | 1.0351 | 0.3293 | 1.0351 | 1.0174 |
| No log | 3.2941 | 112 | 0.9121 | 0.4491 | 0.9121 | 0.9550 |
| No log | 3.3529 | 114 | 0.9448 | 0.4615 | 0.9448 | 0.9720 |
| No log | 3.4118 | 116 | 1.2167 | 0.3701 | 1.2167 | 1.1030 |
| No log | 3.4706 | 118 | 0.9896 | 0.4023 | 0.9896 | 0.9948 |
| No log | 3.5294 | 120 | 0.8531 | 0.4871 | 0.8531 | 0.9237 |
| No log | 3.5882 | 122 | 0.8939 | 0.4313 | 0.8939 | 0.9455 |
| No log | 3.6471 | 124 | 0.9356 | 0.4228 | 0.9356 | 0.9673 |
| No log | 3.7059 | 126 | 0.8174 | 0.5190 | 0.8174 | 0.9041 |
| No log | 3.7647 | 128 | 0.8419 | 0.5636 | 0.8419 | 0.9175 |
| No log | 3.8235 | 130 | 0.8262 | 0.4277 | 0.8262 | 0.9089 |
| No log | 3.8824 | 132 | 0.8212 | 0.5213 | 0.8212 | 0.9062 |
| No log | 3.9412 | 134 | 0.9017 | 0.4829 | 0.9017 | 0.9496 |
| No log | 4.0 | 136 | 1.0753 | 0.4067 | 1.0753 | 1.0370 |
| No log | 4.0588 | 138 | 0.9695 | 0.4815 | 0.9695 | 0.9846 |
| No log | 4.1176 | 140 | 0.9178 | 0.3042 | 0.9178 | 0.9580 |
| No log | 4.1765 | 142 | 1.2064 | 0.3715 | 1.2064 | 1.0983 |
| No log | 4.2353 | 144 | 1.4480 | 0.3539 | 1.4480 | 1.2033 |
| No log | 4.2941 | 146 | 1.2732 | 0.3579 | 1.2732 | 1.1284 |
| No log | 4.3529 | 148 | 0.9160 | 0.3976 | 0.9160 | 0.9571 |
| No log | 4.4118 | 150 | 0.8667 | 0.5355 | 0.8667 | 0.9310 |
| No log | 4.4706 | 152 | 1.0544 | 0.4191 | 1.0544 | 1.0268 |
| No log | 4.5294 | 154 | 1.0152 | 0.5307 | 1.0152 | 1.0076 |
| No log | 4.5882 | 156 | 0.8480 | 0.4839 | 0.8480 | 0.9208 |
| No log | 4.6471 | 158 | 0.8785 | 0.3596 | 0.8785 | 0.9373 |
| No log | 4.7059 | 160 | 1.0804 | 0.4265 | 1.0804 | 1.0394 |
| No log | 4.7647 | 162 | 1.0758 | 0.4854 | 1.0758 | 1.0372 |
| No log | 4.8235 | 164 | 0.8981 | 0.3976 | 0.8981 | 0.9477 |
| No log | 4.8824 | 166 | 0.7878 | 0.4938 | 0.7878 | 0.8876 |
| No log | 4.9412 | 168 | 0.8048 | 0.5057 | 0.8048 | 0.8971 |
| No log | 5.0 | 170 | 0.8639 | 0.5147 | 0.8639 | 0.9295 |
| No log | 5.0588 | 172 | 0.8271 | 0.5267 | 0.8271 | 0.9095 |
| No log | 5.1176 | 174 | 0.8042 | 0.5459 | 0.8042 | 0.8968 |
| No log | 5.1765 | 176 | 0.8485 | 0.4998 | 0.8485 | 0.9211 |
| No log | 5.2353 | 178 | 0.9456 | 0.4166 | 0.9456 | 0.9724 |
| No log | 5.2941 | 180 | 0.8772 | 0.4444 | 0.8772 | 0.9366 |
| No log | 5.3529 | 182 | 0.7949 | 0.4611 | 0.7949 | 0.8916 |
| No log | 5.4118 | 184 | 0.7781 | 0.4661 | 0.7781 | 0.8821 |
| No log | 5.4706 | 186 | 0.8051 | 0.5267 | 0.8051 | 0.8973 |
| No log | 5.5294 | 188 | 0.7639 | 0.5500 | 0.7639 | 0.8740 |
| No log | 5.5882 | 190 | 0.7562 | 0.5673 | 0.7562 | 0.8696 |
| No log | 5.6471 | 192 | 0.7534 | 0.5945 | 0.7534 | 0.8680 |
| No log | 5.7059 | 194 | 0.7688 | 0.5500 | 0.7688 | 0.8768 |
| No log | 5.7647 | 196 | 0.7775 | 0.5279 | 0.7775 | 0.8817 |
| No log | 5.8235 | 198 | 0.7783 | 0.5471 | 0.7783 | 0.8822 |
| No log | 5.8824 | 200 | 0.8113 | 0.5035 | 0.8113 | 0.9007 |
| No log | 5.9412 | 202 | 0.8516 | 0.5480 | 0.8516 | 0.9228 |
| No log | 6.0 | 204 | 0.8978 | 0.5559 | 0.8978 | 0.9475 |
| No log | 6.0588 | 206 | 0.9413 | 0.4757 | 0.9413 | 0.9702 |
| No log | 6.1176 | 208 | 1.0071 | 0.4222 | 1.0071 | 1.0035 |
| No log | 6.1765 | 210 | 0.9513 | 0.4635 | 0.9513 | 0.9753 |
| No log | 6.2353 | 212 | 0.9278 | 0.5111 | 0.9278 | 0.9632 |
| No log | 6.2941 | 214 | 0.9194 | 0.4676 | 0.9194 | 0.9588 |
| No log | 6.3529 | 216 | 0.9181 | 0.4871 | 0.9181 | 0.9582 |
| No log | 6.4118 | 218 | 0.9074 | 0.4419 | 0.9074 | 0.9526 |
| No log | 6.4706 | 220 | 0.9069 | 0.4175 | 0.9069 | 0.9523 |
| No log | 6.5294 | 222 | 0.9074 | 0.5085 | 0.9074 | 0.9526 |
| No log | 6.5882 | 224 | 0.9043 | 0.4575 | 0.9043 | 0.9509 |
| No log | 6.6471 | 226 | 0.9261 | 0.5161 | 0.9261 | 0.9623 |
| No log | 6.7059 | 228 | 0.9019 | 0.4915 | 0.9019 | 0.9497 |
| No log | 6.7647 | 230 | 0.9118 | 0.4846 | 0.9118 | 0.9549 |
| No log | 6.8235 | 232 | 0.9142 | 0.4620 | 0.9142 | 0.9561 |
| No log | 6.8824 | 234 | 0.8976 | 0.4366 | 0.8976 | 0.9474 |
| No log | 6.9412 | 236 | 0.8748 | 0.3897 | 0.8748 | 0.9353 |
| No log | 7.0 | 238 | 0.8796 | 0.3747 | 0.8796 | 0.9379 |
| No log | 7.0588 | 240 | 0.8837 | 0.3841 | 0.8837 | 0.9401 |
| No log | 7.1176 | 242 | 0.8822 | 0.4430 | 0.8822 | 0.9393 |
| No log | 7.1765 | 244 | 0.8910 | 0.5074 | 0.8910 | 0.9439 |
| No log | 7.2353 | 246 | 0.9662 | 0.4930 | 0.9662 | 0.9830 |
| No log | 7.2941 | 248 | 1.0528 | 0.3556 | 1.0528 | 1.0261 |
| No log | 7.3529 | 250 | 1.0680 | 0.3893 | 1.0680 | 1.0334 |
| No log | 7.4118 | 252 | 0.9719 | 0.3844 | 0.9719 | 0.9859 |
| No log | 7.4706 | 254 | 0.9099 | 0.3272 | 0.9099 | 0.9539 |
| No log | 7.5294 | 256 | 0.9307 | 0.3052 | 0.9307 | 0.9647 |
| No log | 7.5882 | 258 | 0.9345 | 0.3172 | 0.9345 | 0.9667 |
| No log | 7.6471 | 260 | 0.9425 | 0.3272 | 0.9425 | 0.9708 |
| No log | 7.7059 | 262 | 0.9555 | 0.3563 | 0.9555 | 0.9775 |
| No log | 7.7647 | 264 | 0.9528 | 0.3493 | 0.9528 | 0.9761 |
| No log | 7.8235 | 266 | 0.9486 | 0.3402 | 0.9486 | 0.9740 |
| No log | 7.8824 | 268 | 0.9395 | 0.3075 | 0.9395 | 0.9693 |
| No log | 7.9412 | 270 | 0.9308 | 0.3243 | 0.9308 | 0.9648 |
| No log | 8.0 | 272 | 0.9283 | 0.3358 | 0.9283 | 0.9635 |
| No log | 8.0588 | 274 | 0.9344 | 0.3590 | 0.9344 | 0.9667 |
| No log | 8.1176 | 276 | 0.9180 | 0.3950 | 0.9180 | 0.9581 |
| No log | 8.1765 | 278 | 0.9422 | 0.3817 | 0.9422 | 0.9706 |
| No log | 8.2353 | 280 | 0.9177 | 0.4691 | 0.9177 | 0.9580 |
| No log | 8.2941 | 282 | 0.9398 | 0.3596 | 0.9398 | 0.9694 |
| No log | 8.3529 | 284 | 1.0449 | 0.3756 | 1.0449 | 1.0222 |
| No log | 8.4118 | 286 | 1.0281 | 0.3775 | 1.0281 | 1.0139 |
| No log | 8.4706 | 288 | 0.9296 | 0.3771 | 0.9296 | 0.9641 |
| No log | 8.5294 | 290 | 0.8737 | 0.4375 | 0.8737 | 0.9347 |
| No log | 8.5882 | 292 | 0.9135 | 0.4131 | 0.9135 | 0.9558 |
| No log | 8.6471 | 294 | 1.0223 | 0.4030 | 1.0223 | 1.0111 |
| No log | 8.7059 | 296 | 1.0271 | 0.3573 | 1.0271 | 1.0135 |
| No log | 8.7647 | 298 | 0.9763 | 0.3742 | 0.9763 | 0.9881 |
| No log | 8.8235 | 300 | 0.9624 | 0.3618 | 0.9624 | 0.9810 |
| No log | 8.8824 | 302 | 0.9746 | 0.3535 | 0.9746 | 0.9872 |
| No log | 8.9412 | 304 | 1.0152 | 0.3558 | 1.0152 | 1.0076 |
| No log | 9.0 | 306 | 1.0640 | 0.3081 | 1.0640 | 1.0315 |
| No log | 9.0588 | 308 | 1.0621 | 0.3119 | 1.0621 | 1.0306 |
| No log | 9.1176 | 310 | 0.9522 | 0.3491 | 0.9522 | 0.9758 |
| No log | 9.1765 | 312 | 0.8810 | 0.4192 | 0.8810 | 0.9386 |
| No log | 9.2353 | 314 | 0.8729 | 0.5179 | 0.8729 | 0.9343 |
| No log | 9.2941 | 316 | 0.8425 | 0.4810 | 0.8425 | 0.9179 |
| No log | 9.3529 | 318 | 0.8525 | 0.4435 | 0.8525 | 0.9233 |
| No log | 9.4118 | 320 | 0.8778 | 0.4607 | 0.8778 | 0.9369 |
| No log | 9.4706 | 322 | 0.8659 | 0.4722 | 0.8659 | 0.9305 |
| No log | 9.5294 | 324 | 0.8187 | 0.4459 | 0.8187 | 0.9048 |
| No log | 9.5882 | 326 | 0.8084 | 0.5057 | 0.8084 | 0.8991 |
| No log | 9.6471 | 328 | 0.8195 | 0.4721 | 0.8195 | 0.9053 |
| No log | 9.7059 | 330 | 0.8145 | 0.5057 | 0.8145 | 0.9025 |
| No log | 9.7647 | 332 | 0.8138 | 0.5057 | 0.8138 | 0.9021 |
| No log | 9.8235 | 334 | 0.8146 | 0.5063 | 0.8146 | 0.9025 |
| No log | 9.8824 | 336 | 0.8643 | 0.4556 | 0.8643 | 0.9297 |
| No log | 9.9412 | 338 | 0.8690 | 0.4672 | 0.8690 | 0.9322 |
| No log | 10.0 | 340 | 0.8101 | 0.4819 | 0.8101 | 0.9000 |
| No log | 10.0588 | 342 | 0.8087 | 0.4305 | 0.8087 | 0.8993 |
| No log | 10.1176 | 344 | 0.8082 | 0.4757 | 0.8082 | 0.8990 |
| No log | 10.1765 | 346 | 0.7952 | 0.4660 | 0.7952 | 0.8918 |
| No log | 10.2353 | 348 | 0.7994 | 0.4888 | 0.7994 | 0.8941 |
| No log | 10.2941 | 350 | 0.8021 | 0.4660 | 0.8021 | 0.8956 |
| No log | 10.3529 | 352 | 0.8113 | 0.5166 | 0.8113 | 0.9007 |
| No log | 10.4118 | 354 | 0.8137 | 0.5275 | 0.8137 | 0.9021 |
| No log | 10.4706 | 356 | 0.8243 | 0.5120 | 0.8243 | 0.9079 |
| No log | 10.5294 | 358 | 0.8413 | 0.5303 | 0.8413 | 0.9172 |
| No log | 10.5882 | 360 | 0.8587 | 0.5495 | 0.8587 | 0.9267 |
| No log | 10.6471 | 362 | 0.8475 | 0.5106 | 0.8475 | 0.9206 |
| No log | 10.7059 | 364 | 0.8577 | 0.4718 | 0.8577 | 0.9261 |
| No log | 10.7647 | 366 | 0.8956 | 0.4077 | 0.8956 | 0.9464 |
| No log | 10.8235 | 368 | 0.9153 | 0.4077 | 0.9153 | 0.9567 |
| No log | 10.8824 | 370 | 0.8856 | 0.4490 | 0.8856 | 0.9411 |
| No log | 10.9412 | 372 | 0.8732 | 0.4598 | 0.8732 | 0.9344 |
| No log | 11.0 | 374 | 0.8634 | 0.4581 | 0.8634 | 0.9292 |
| No log | 11.0588 | 376 | 0.8583 | 0.4581 | 0.8583 | 0.9265 |
| No log | 11.1176 | 378 | 0.8574 | 0.4581 | 0.8574 | 0.9260 |
| No log | 11.1765 | 380 | 0.8570 | 0.4903 | 0.8570 | 0.9257 |
| No log | 11.2353 | 382 | 0.8723 | 0.4749 | 0.8723 | 0.9340 |
| No log | 11.2941 | 384 | 0.8606 | 0.4885 | 0.8606 | 0.9277 |
| No log | 11.3529 | 386 | 0.8500 | 0.4920 | 0.8500 | 0.9220 |
| No log | 11.4118 | 388 | 0.8361 | 0.5057 | 0.8361 | 0.9144 |
| No log | 11.4706 | 390 | 0.8328 | 0.4845 | 0.8328 | 0.9126 |
| No log | 11.5294 | 392 | 0.8237 | 0.5274 | 0.8237 | 0.9076 |
| No log | 11.5882 | 394 | 0.8337 | 0.4630 | 0.8337 | 0.9131 |
| No log | 11.6471 | 396 | 0.8407 | 0.4768 | 0.8407 | 0.9169 |
| No log | 11.7059 | 398 | 0.8510 | 0.4662 | 0.8510 | 0.9225 |
| No log | 11.7647 | 400 | 0.8561 | 0.5203 | 0.8561 | 0.9252 |
| No log | 11.8235 | 402 | 0.9125 | 0.5152 | 0.9125 | 0.9553 |
| No log | 11.8824 | 404 | 0.9095 | 0.5152 | 0.9095 | 0.9537 |
| No log | 11.9412 | 406 | 0.8623 | 0.5102 | 0.8623 | 0.9286 |
| No log | 12.0 | 408 | 0.8346 | 0.5261 | 0.8346 | 0.9136 |
| No log | 12.0588 | 410 | 0.8404 | 0.4368 | 0.8404 | 0.9167 |
| No log | 12.1176 | 412 | 0.8519 | 0.4466 | 0.8519 | 0.9230 |
| No log | 12.1765 | 414 | 0.8254 | 0.4237 | 0.8254 | 0.9085 |
| No log | 12.2353 | 416 | 0.8105 | 0.4594 | 0.8105 | 0.9003 |
| No log | 12.2941 | 418 | 0.8457 | 0.4284 | 0.8457 | 0.9196 |
| No log | 12.3529 | 420 | 0.8154 | 0.4486 | 0.8154 | 0.9030 |
| No log | 12.4118 | 422 | 0.8272 | 0.5057 | 0.8272 | 0.9095 |
| No log | 12.4706 | 424 | 0.9208 | 0.5114 | 0.9208 | 0.9596 |
| No log | 12.5294 | 426 | 0.9518 | 0.4694 | 0.9518 | 0.9756 |
| No log | 12.5882 | 428 | 0.8540 | 0.5537 | 0.8540 | 0.9241 |
| No log | 12.6471 | 430 | 0.7822 | 0.5002 | 0.7822 | 0.8844 |
| No log | 12.7059 | 432 | 0.7808 | 0.4469 | 0.7808 | 0.8836 |
| No log | 12.7647 | 434 | 0.8126 | 0.5469 | 0.8126 | 0.9015 |
| No log | 12.8235 | 436 | 0.8116 | 0.5469 | 0.8116 | 0.9009 |
| No log | 12.8824 | 438 | 0.8133 | 0.5315 | 0.8133 | 0.9018 |
| No log | 12.9412 | 440 | 0.8241 | 0.4647 | 0.8241 | 0.9078 |
| No log | 13.0 | 442 | 0.8817 | 0.4812 | 0.8817 | 0.9390 |
| No log | 13.0588 | 444 | 0.8742 | 0.4115 | 0.8742 | 0.9350 |
| No log | 13.1176 | 446 | 0.8352 | 0.4110 | 0.8352 | 0.9139 |
| No log | 13.1765 | 448 | 0.8190 | 0.4279 | 0.8190 | 0.9050 |
| No log | 13.2353 | 450 | 0.8165 | 0.4297 | 0.8165 | 0.9036 |
| No log | 13.2941 | 452 | 0.8151 | 0.4429 | 0.8151 | 0.9029 |
| No log | 13.3529 | 454 | 0.8054 | 0.4434 | 0.8054 | 0.8974 |
| No log | 13.4118 | 456 | 0.8192 | 0.4596 | 0.8192 | 0.9051 |
| No log | 13.4706 | 458 | 0.8203 | 0.4235 | 0.8203 | 0.9057 |
| No log | 13.5294 | 460 | 0.8182 | 0.4186 | 0.8182 | 0.9045 |
| No log | 13.5882 | 462 | 0.8385 | 0.3965 | 0.8385 | 0.9157 |
| No log | 13.6471 | 464 | 0.8973 | 0.5370 | 0.8973 | 0.9472 |
| No log | 13.7059 | 466 | 0.8879 | 0.5059 | 0.8879 | 0.9423 |
| No log | 13.7647 | 468 | 0.8445 | 0.4089 | 0.8445 | 0.9190 |
| No log | 13.8235 | 470 | 0.8707 | 0.4142 | 0.8707 | 0.9331 |
| No log | 13.8824 | 472 | 0.8817 | 0.3925 | 0.8817 | 0.9390 |
| No log | 13.9412 | 474 | 0.8407 | 0.4352 | 0.8407 | 0.9169 |
| No log | 14.0 | 476 | 0.8779 | 0.5072 | 0.8779 | 0.9369 |
| No log | 14.0588 | 478 | 0.9380 | 0.5119 | 0.9380 | 0.9685 |
| No log | 14.1176 | 480 | 0.9256 | 0.5443 | 0.9256 | 0.9621 |
| No log | 14.1765 | 482 | 0.8791 | 0.4752 | 0.8791 | 0.9376 |
| No log | 14.2353 | 484 | 0.8510 | 0.4434 | 0.8510 | 0.9225 |
| No log | 14.2941 | 486 | 0.8495 | 0.4434 | 0.8495 | 0.9217 |
| No log | 14.3529 | 488 | 0.8580 | 0.4647 | 0.8580 | 0.9263 |
| No log | 14.4118 | 490 | 0.8815 | 0.4634 | 0.8815 | 0.9389 |
| No log | 14.4706 | 492 | 0.9469 | 0.4810 | 0.9469 | 0.9731 |
| No log | 14.5294 | 494 | 0.9192 | 0.4620 | 0.9192 | 0.9587 |
| No log | 14.5882 | 496 | 0.8750 | 0.4518 | 0.8750 | 0.9354 |
| No log | 14.6471 | 498 | 0.8705 | 0.4719 | 0.8705 | 0.9330 |
| 0.2954 | 14.7059 | 500 | 0.8830 | 0.4963 | 0.8830 | 0.9397 |
| 0.2954 | 14.7647 | 502 | 0.8540 | 0.4936 | 0.8540 | 0.9241 |
| 0.2954 | 14.8235 | 504 | 0.8620 | 0.4857 | 0.8620 | 0.9285 |
| 0.2954 | 14.8824 | 506 | 0.9292 | 0.4500 | 0.9292 | 0.9640 |
| 0.2954 | 14.9412 | 508 | 0.9364 | 0.4907 | 0.9364 | 0.9677 |
| 0.2954 | 15.0 | 510 | 0.9112 | 0.4214 | 0.9112 | 0.9546 |
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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task5_organization
Base model
aubmindlab/bert-base-arabertv02