Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_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_k20_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_k20_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_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: 0.6771
- Qwk: 0.5202
- Mse: 0.6771
- Rmse: 0.8228
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 | 0.0312 | 2 | 4.4628 | -0.0088 | 4.4628 | 2.1125 |
| No log | 0.0625 | 4 | 2.8743 | -0.0398 | 2.8743 | 1.6954 |
| No log | 0.0938 | 6 | 1.6808 | 0.0165 | 1.6808 | 1.2965 |
| No log | 0.125 | 8 | 1.1978 | 0.0170 | 1.1978 | 1.0944 |
| No log | 0.1562 | 10 | 1.2059 | -0.0160 | 1.2059 | 1.0981 |
| No log | 0.1875 | 12 | 1.2719 | 0.0201 | 1.2719 | 1.1278 |
| No log | 0.2188 | 14 | 1.2254 | -0.0212 | 1.2254 | 1.1070 |
| No log | 0.25 | 16 | 1.2403 | 0.0 | 1.2403 | 1.1137 |
| No log | 0.2812 | 18 | 1.2048 | 0.0232 | 1.2048 | 1.0976 |
| No log | 0.3125 | 20 | 1.2024 | 0.0760 | 1.2024 | 1.0966 |
| No log | 0.3438 | 22 | 1.1880 | 0.1205 | 1.1880 | 1.0899 |
| No log | 0.375 | 24 | 1.1834 | 0.2489 | 1.1834 | 1.0879 |
| No log | 0.4062 | 26 | 1.2651 | 0.0053 | 1.2651 | 1.1247 |
| No log | 0.4375 | 28 | 1.3638 | 0.0613 | 1.3638 | 1.1678 |
| No log | 0.4688 | 30 | 1.5362 | 0.0 | 1.5362 | 1.2394 |
| No log | 0.5 | 32 | 1.5392 | 0.0 | 1.5392 | 1.2406 |
| No log | 0.5312 | 34 | 1.3670 | 0.0496 | 1.3670 | 1.1692 |
| No log | 0.5625 | 36 | 1.3258 | -0.0064 | 1.3258 | 1.1514 |
| No log | 0.5938 | 38 | 1.1938 | 0.1268 | 1.1938 | 1.0926 |
| No log | 0.625 | 40 | 1.1566 | 0.1296 | 1.1566 | 1.0754 |
| No log | 0.6562 | 42 | 1.2073 | 0.1261 | 1.2073 | 1.0988 |
| No log | 0.6875 | 44 | 1.2360 | 0.1142 | 1.2360 | 1.1117 |
| No log | 0.7188 | 46 | 1.2311 | 0.2004 | 1.2311 | 1.1095 |
| No log | 0.75 | 48 | 1.3242 | 0.0349 | 1.3242 | 1.1507 |
| No log | 0.7812 | 50 | 1.4024 | 0.0380 | 1.4024 | 1.1842 |
| No log | 0.8125 | 52 | 1.3341 | 0.0349 | 1.3341 | 1.1550 |
| No log | 0.8438 | 54 | 1.1262 | 0.1509 | 1.1262 | 1.0612 |
| No log | 0.875 | 56 | 1.0895 | 0.2251 | 1.0895 | 1.0438 |
| No log | 0.9062 | 58 | 1.1141 | 0.1953 | 1.1141 | 1.0555 |
| No log | 0.9375 | 60 | 1.1007 | 0.1767 | 1.1007 | 1.0492 |
| No log | 0.9688 | 62 | 1.1904 | 0.1148 | 1.1904 | 1.0911 |
| No log | 1.0 | 64 | 1.1323 | 0.1389 | 1.1323 | 1.0641 |
| No log | 1.0312 | 66 | 1.1141 | 0.1509 | 1.1141 | 1.0555 |
| No log | 1.0625 | 68 | 1.1417 | 0.2138 | 1.1417 | 1.0685 |
| No log | 1.0938 | 70 | 1.0206 | 0.2921 | 1.0206 | 1.0102 |
| No log | 1.125 | 72 | 1.0118 | 0.3445 | 1.0118 | 1.0059 |
| No log | 1.1562 | 74 | 0.9835 | 0.2602 | 0.9835 | 0.9917 |
| No log | 1.1875 | 76 | 1.0596 | 0.3402 | 1.0596 | 1.0294 |
| No log | 1.2188 | 78 | 1.0768 | 0.2690 | 1.0768 | 1.0377 |
| No log | 1.25 | 80 | 0.9509 | 0.3117 | 0.9509 | 0.9751 |
| No log | 1.2812 | 82 | 0.9732 | 0.3693 | 0.9732 | 0.9865 |
| No log | 1.3125 | 84 | 0.9535 | 0.3428 | 0.9535 | 0.9765 |
| No log | 1.3438 | 86 | 1.0309 | 0.2822 | 1.0309 | 1.0153 |
| No log | 1.375 | 88 | 0.9564 | 0.3676 | 0.9564 | 0.9780 |
| No log | 1.4062 | 90 | 1.0627 | 0.2384 | 1.0627 | 1.0309 |
| No log | 1.4375 | 92 | 1.3972 | 0.0860 | 1.3972 | 1.1821 |
| No log | 1.4688 | 94 | 1.1979 | 0.1601 | 1.1979 | 1.0945 |
| No log | 1.5 | 96 | 0.8625 | 0.4624 | 0.8625 | 0.9287 |
| No log | 1.5312 | 98 | 0.8437 | 0.4676 | 0.8437 | 0.9185 |
| No log | 1.5625 | 100 | 0.8352 | 0.4789 | 0.8352 | 0.9139 |
| No log | 1.5938 | 102 | 0.8284 | 0.4789 | 0.8284 | 0.9101 |
| No log | 1.625 | 104 | 0.8992 | 0.3577 | 0.8992 | 0.9483 |
| No log | 1.6562 | 106 | 0.9440 | 0.3775 | 0.9440 | 0.9716 |
| No log | 1.6875 | 108 | 0.8387 | 0.4645 | 0.8387 | 0.9158 |
| No log | 1.7188 | 110 | 0.8633 | 0.3633 | 0.8633 | 0.9292 |
| No log | 1.75 | 112 | 0.8770 | 0.3633 | 0.8770 | 0.9365 |
| No log | 1.7812 | 114 | 0.8494 | 0.3633 | 0.8494 | 0.9216 |
| No log | 1.8125 | 116 | 0.8089 | 0.4903 | 0.8089 | 0.8994 |
| No log | 1.8438 | 118 | 0.9064 | 0.4123 | 0.9064 | 0.9521 |
| No log | 1.875 | 120 | 0.8522 | 0.4357 | 0.8522 | 0.9232 |
| No log | 1.9062 | 122 | 0.7954 | 0.5386 | 0.7954 | 0.8919 |
| No log | 1.9375 | 124 | 0.8007 | 0.4995 | 0.8007 | 0.8948 |
| No log | 1.9688 | 126 | 0.8736 | 0.4253 | 0.8736 | 0.9347 |
| No log | 2.0 | 128 | 0.8897 | 0.4262 | 0.8897 | 0.9433 |
| No log | 2.0312 | 130 | 0.8190 | 0.5220 | 0.8190 | 0.9050 |
| No log | 2.0625 | 132 | 0.8685 | 0.4489 | 0.8685 | 0.9320 |
| No log | 2.0938 | 134 | 0.9329 | 0.4006 | 0.9329 | 0.9659 |
| No log | 2.125 | 136 | 0.8365 | 0.4606 | 0.8365 | 0.9146 |
| No log | 2.1562 | 138 | 0.8364 | 0.4980 | 0.8364 | 0.9145 |
| No log | 2.1875 | 140 | 0.8730 | 0.4478 | 0.8730 | 0.9343 |
| No log | 2.2188 | 142 | 0.8176 | 0.4289 | 0.8176 | 0.9042 |
| No log | 2.25 | 144 | 0.8007 | 0.4660 | 0.8007 | 0.8948 |
| No log | 2.2812 | 146 | 0.7937 | 0.3840 | 0.7937 | 0.8909 |
| No log | 2.3125 | 148 | 0.8380 | 0.4577 | 0.8380 | 0.9154 |
| No log | 2.3438 | 150 | 0.8421 | 0.4349 | 0.8421 | 0.9177 |
| No log | 2.375 | 152 | 0.7985 | 0.4465 | 0.7985 | 0.8936 |
| No log | 2.4062 | 154 | 0.7660 | 0.4778 | 0.7660 | 0.8752 |
| No log | 2.4375 | 156 | 0.7962 | 0.3407 | 0.7962 | 0.8923 |
| No log | 2.4688 | 158 | 0.8107 | 0.4006 | 0.8107 | 0.9004 |
| No log | 2.5 | 160 | 0.7642 | 0.4944 | 0.7642 | 0.8742 |
| No log | 2.5312 | 162 | 0.7908 | 0.5279 | 0.7908 | 0.8893 |
| No log | 2.5625 | 164 | 0.8235 | 0.4492 | 0.8235 | 0.9074 |
| No log | 2.5938 | 166 | 0.8236 | 0.4884 | 0.8236 | 0.9075 |
| No log | 2.625 | 168 | 0.8284 | 0.4676 | 0.8284 | 0.9102 |
| No log | 2.6562 | 170 | 0.8427 | 0.3915 | 0.8427 | 0.9180 |
| No log | 2.6875 | 172 | 0.9304 | 0.3143 | 0.9304 | 0.9646 |
| No log | 2.7188 | 174 | 1.1573 | 0.2569 | 1.1573 | 1.0758 |
| No log | 2.75 | 176 | 1.1530 | 0.2341 | 1.1530 | 1.0738 |
| No log | 2.7812 | 178 | 0.9078 | 0.3104 | 0.9078 | 0.9528 |
| No log | 2.8125 | 180 | 0.8517 | 0.3982 | 0.8517 | 0.9229 |
| No log | 2.8438 | 182 | 0.8467 | 0.3604 | 0.8467 | 0.9202 |
| No log | 2.875 | 184 | 0.8840 | 0.4263 | 0.8840 | 0.9402 |
| No log | 2.9062 | 186 | 0.9181 | 0.4026 | 0.9181 | 0.9582 |
| No log | 2.9375 | 188 | 0.7404 | 0.3814 | 0.7404 | 0.8604 |
| No log | 2.9688 | 190 | 0.6991 | 0.5317 | 0.6991 | 0.8361 |
| No log | 3.0 | 192 | 0.8559 | 0.5625 | 0.8559 | 0.9251 |
| No log | 3.0312 | 194 | 0.8570 | 0.5515 | 0.8570 | 0.9257 |
| No log | 3.0625 | 196 | 0.7049 | 0.5397 | 0.7049 | 0.8396 |
| No log | 3.0938 | 198 | 0.7020 | 0.4592 | 0.7020 | 0.8379 |
| No log | 3.125 | 200 | 0.8103 | 0.4926 | 0.8103 | 0.9002 |
| No log | 3.1562 | 202 | 0.8124 | 0.5258 | 0.8124 | 0.9013 |
| No log | 3.1875 | 204 | 0.7026 | 0.4826 | 0.7026 | 0.8382 |
| No log | 3.2188 | 206 | 0.6865 | 0.5069 | 0.6865 | 0.8285 |
| No log | 3.25 | 208 | 0.6980 | 0.4398 | 0.6980 | 0.8354 |
| No log | 3.2812 | 210 | 0.7411 | 0.4115 | 0.7411 | 0.8609 |
| No log | 3.3125 | 212 | 0.8669 | 0.5230 | 0.8669 | 0.9311 |
| No log | 3.3438 | 214 | 0.9045 | 0.5208 | 0.9045 | 0.9510 |
| No log | 3.375 | 216 | 0.8266 | 0.4209 | 0.8266 | 0.9092 |
| No log | 3.4062 | 218 | 0.8236 | 0.4277 | 0.8236 | 0.9075 |
| No log | 3.4375 | 220 | 0.9559 | 0.3995 | 0.9559 | 0.9777 |
| No log | 3.4688 | 222 | 0.8954 | 0.4598 | 0.8954 | 0.9463 |
| No log | 3.5 | 224 | 0.7835 | 0.4133 | 0.7835 | 0.8851 |
| No log | 3.5312 | 226 | 0.8584 | 0.4460 | 0.8584 | 0.9265 |
| No log | 3.5625 | 228 | 0.9971 | 0.4434 | 0.9971 | 0.9985 |
| No log | 3.5938 | 230 | 0.9794 | 0.4186 | 0.9794 | 0.9896 |
| No log | 3.625 | 232 | 0.8556 | 0.4057 | 0.8556 | 0.9250 |
| No log | 3.6562 | 234 | 0.7957 | 0.3842 | 0.7957 | 0.8920 |
| No log | 3.6875 | 236 | 0.7648 | 0.4102 | 0.7648 | 0.8745 |
| No log | 3.7188 | 238 | 0.7817 | 0.4935 | 0.7817 | 0.8841 |
| No log | 3.75 | 240 | 0.8606 | 0.4805 | 0.8606 | 0.9277 |
| No log | 3.7812 | 242 | 1.0241 | 0.4786 | 1.0241 | 1.0120 |
| No log | 3.8125 | 244 | 0.9469 | 0.4786 | 0.9469 | 0.9731 |
| No log | 3.8438 | 246 | 0.7579 | 0.5255 | 0.7579 | 0.8706 |
| No log | 3.875 | 248 | 0.7562 | 0.4849 | 0.7562 | 0.8696 |
| No log | 3.9062 | 250 | 0.7569 | 0.4983 | 0.7569 | 0.8700 |
| No log | 3.9375 | 252 | 0.7116 | 0.5446 | 0.7116 | 0.8436 |
| No log | 3.9688 | 254 | 0.7692 | 0.4710 | 0.7692 | 0.8770 |
| No log | 4.0 | 256 | 0.8239 | 0.4916 | 0.8239 | 0.9077 |
| No log | 4.0312 | 258 | 0.7680 | 0.4948 | 0.7680 | 0.8764 |
| No log | 4.0625 | 260 | 0.7279 | 0.4082 | 0.7279 | 0.8532 |
| No log | 4.0938 | 262 | 0.7370 | 0.4427 | 0.7370 | 0.8585 |
| No log | 4.125 | 264 | 0.7339 | 0.4817 | 0.7339 | 0.8567 |
| No log | 4.1562 | 266 | 0.7350 | 0.4337 | 0.7350 | 0.8573 |
| No log | 4.1875 | 268 | 0.7554 | 0.4473 | 0.7554 | 0.8692 |
| No log | 4.2188 | 270 | 0.7624 | 0.4836 | 0.7624 | 0.8731 |
| No log | 4.25 | 272 | 0.7675 | 0.4836 | 0.7675 | 0.8761 |
| No log | 4.2812 | 274 | 0.7522 | 0.4478 | 0.7522 | 0.8673 |
| No log | 4.3125 | 276 | 0.7803 | 0.4836 | 0.7803 | 0.8834 |
| No log | 4.3438 | 278 | 0.7533 | 0.4345 | 0.7533 | 0.8679 |
| No log | 4.375 | 280 | 0.7545 | 0.4363 | 0.7545 | 0.8686 |
| No log | 4.4062 | 282 | 0.7703 | 0.4353 | 0.7703 | 0.8777 |
| No log | 4.4375 | 284 | 0.7894 | 0.3658 | 0.7894 | 0.8885 |
| No log | 4.4688 | 286 | 0.7800 | 0.4115 | 0.7800 | 0.8832 |
| No log | 4.5 | 288 | 0.7827 | 0.4675 | 0.7827 | 0.8847 |
| No log | 4.5312 | 290 | 0.8058 | 0.3934 | 0.8058 | 0.8977 |
| No log | 4.5625 | 292 | 0.7990 | 0.4312 | 0.7990 | 0.8939 |
| No log | 4.5938 | 294 | 0.7880 | 0.3896 | 0.7880 | 0.8877 |
| No log | 4.625 | 296 | 0.8938 | 0.4783 | 0.8938 | 0.9454 |
| No log | 4.6562 | 298 | 0.9675 | 0.4987 | 0.9675 | 0.9836 |
| No log | 4.6875 | 300 | 0.8733 | 0.3845 | 0.8733 | 0.9345 |
| No log | 4.7188 | 302 | 0.7782 | 0.4327 | 0.7782 | 0.8822 |
| No log | 4.75 | 304 | 0.7588 | 0.4261 | 0.7588 | 0.8711 |
| No log | 4.7812 | 306 | 0.7680 | 0.4097 | 0.7680 | 0.8764 |
| No log | 4.8125 | 308 | 0.7717 | 0.4097 | 0.7717 | 0.8785 |
| No log | 4.8438 | 310 | 0.7688 | 0.3879 | 0.7688 | 0.8768 |
| No log | 4.875 | 312 | 0.7923 | 0.4476 | 0.7923 | 0.8901 |
| No log | 4.9062 | 314 | 0.8744 | 0.4916 | 0.8744 | 0.9351 |
| No log | 4.9375 | 316 | 0.9629 | 0.3985 | 0.9629 | 0.9813 |
| No log | 4.9688 | 318 | 0.8915 | 0.4197 | 0.8915 | 0.9442 |
| No log | 5.0 | 320 | 0.8023 | 0.3802 | 0.8023 | 0.8957 |
| No log | 5.0312 | 322 | 0.8177 | 0.4259 | 0.8177 | 0.9043 |
| No log | 5.0625 | 324 | 0.8159 | 0.3455 | 0.8159 | 0.9032 |
| No log | 5.0938 | 326 | 0.8456 | 0.3596 | 0.8456 | 0.9196 |
| No log | 5.125 | 328 | 0.9316 | 0.4911 | 0.9316 | 0.9652 |
| No log | 5.1562 | 330 | 0.9519 | 0.5119 | 0.9519 | 0.9757 |
| No log | 5.1875 | 332 | 0.8526 | 0.3771 | 0.8526 | 0.9234 |
| No log | 5.2188 | 334 | 0.7929 | 0.3804 | 0.7929 | 0.8905 |
| No log | 5.25 | 336 | 0.7624 | 0.3860 | 0.7624 | 0.8732 |
| No log | 5.2812 | 338 | 0.7474 | 0.3959 | 0.7474 | 0.8645 |
| No log | 5.3125 | 340 | 0.7448 | 0.3959 | 0.7448 | 0.8630 |
| No log | 5.3438 | 342 | 0.7347 | 0.4093 | 0.7347 | 0.8571 |
| No log | 5.375 | 344 | 0.7334 | 0.4106 | 0.7334 | 0.8564 |
| No log | 5.4062 | 346 | 0.7682 | 0.3842 | 0.7682 | 0.8765 |
| No log | 5.4375 | 348 | 0.7854 | 0.3842 | 0.7854 | 0.8862 |
| No log | 5.4688 | 350 | 0.7878 | 0.4115 | 0.7878 | 0.8876 |
| No log | 5.5 | 352 | 0.7827 | 0.3687 | 0.7827 | 0.8847 |
| No log | 5.5312 | 354 | 0.7562 | 0.4363 | 0.7562 | 0.8696 |
| No log | 5.5625 | 356 | 0.7669 | 0.3961 | 0.7669 | 0.8757 |
| No log | 5.5938 | 358 | 0.7829 | 0.3515 | 0.7829 | 0.8848 |
| No log | 5.625 | 360 | 0.7952 | 0.3515 | 0.7952 | 0.8918 |
| No log | 5.6562 | 362 | 0.7828 | 0.3515 | 0.7828 | 0.8847 |
| No log | 5.6875 | 364 | 0.7752 | 0.4063 | 0.7752 | 0.8804 |
| No log | 5.7188 | 366 | 0.7792 | 0.3902 | 0.7792 | 0.8827 |
| No log | 5.75 | 368 | 0.7770 | 0.4576 | 0.7770 | 0.8815 |
| No log | 5.7812 | 370 | 0.7395 | 0.4223 | 0.7395 | 0.8599 |
| No log | 5.8125 | 372 | 0.7233 | 0.4540 | 0.7233 | 0.8505 |
| No log | 5.8438 | 374 | 0.7110 | 0.4422 | 0.7110 | 0.8432 |
| No log | 5.875 | 376 | 0.6998 | 0.4422 | 0.6998 | 0.8366 |
| No log | 5.9062 | 378 | 0.7025 | 0.4887 | 0.7025 | 0.8382 |
| No log | 5.9375 | 380 | 0.7076 | 0.4746 | 0.7076 | 0.8412 |
| No log | 5.9688 | 382 | 0.6946 | 0.6025 | 0.6946 | 0.8334 |
| No log | 6.0 | 384 | 0.6556 | 0.5785 | 0.6556 | 0.8097 |
| No log | 6.0312 | 386 | 0.6552 | 0.6099 | 0.6552 | 0.8094 |
| No log | 6.0625 | 388 | 0.6514 | 0.6470 | 0.6514 | 0.8071 |
| No log | 6.0938 | 390 | 0.6381 | 0.6680 | 0.6381 | 0.7988 |
| No log | 6.125 | 392 | 0.7072 | 0.6208 | 0.7072 | 0.8410 |
| No log | 6.1562 | 394 | 0.7582 | 0.5820 | 0.7582 | 0.8707 |
| No log | 6.1875 | 396 | 0.7230 | 0.5912 | 0.7230 | 0.8503 |
| No log | 6.2188 | 398 | 0.7012 | 0.5273 | 0.7012 | 0.8374 |
| No log | 6.25 | 400 | 0.7162 | 0.5026 | 0.7162 | 0.8463 |
| No log | 6.2812 | 402 | 0.7250 | 0.5042 | 0.7250 | 0.8514 |
| No log | 6.3125 | 404 | 0.7352 | 0.4409 | 0.7352 | 0.8575 |
| No log | 6.3438 | 406 | 0.7182 | 0.5048 | 0.7182 | 0.8475 |
| No log | 6.375 | 408 | 0.7402 | 0.5798 | 0.7402 | 0.8603 |
| No log | 6.4062 | 410 | 0.7654 | 0.5279 | 0.7654 | 0.8749 |
| No log | 6.4375 | 412 | 0.7221 | 0.5467 | 0.7221 | 0.8498 |
| No log | 6.4688 | 414 | 0.7343 | 0.4573 | 0.7343 | 0.8569 |
| No log | 6.5 | 416 | 0.7614 | 0.4590 | 0.7614 | 0.8726 |
| No log | 6.5312 | 418 | 0.7314 | 0.5048 | 0.7314 | 0.8552 |
| No log | 6.5625 | 420 | 0.7463 | 0.4988 | 0.7463 | 0.8639 |
| No log | 6.5938 | 422 | 0.7482 | 0.4988 | 0.7482 | 0.8650 |
| No log | 6.625 | 424 | 0.7232 | 0.4503 | 0.7232 | 0.8504 |
| No log | 6.6562 | 426 | 0.7825 | 0.4872 | 0.7825 | 0.8846 |
| No log | 6.6875 | 428 | 0.7926 | 0.4872 | 0.7926 | 0.8903 |
| No log | 6.7188 | 430 | 0.7213 | 0.5069 | 0.7213 | 0.8493 |
| No log | 6.75 | 432 | 0.7205 | 0.5898 | 0.7205 | 0.8488 |
| No log | 6.7812 | 434 | 0.7400 | 0.6045 | 0.7400 | 0.8602 |
| No log | 6.8125 | 436 | 0.6792 | 0.6142 | 0.6792 | 0.8242 |
| No log | 6.8438 | 438 | 0.6597 | 0.5871 | 0.6597 | 0.8122 |
| No log | 6.875 | 440 | 0.6576 | 0.5288 | 0.6576 | 0.8109 |
| No log | 6.9062 | 442 | 0.6589 | 0.6105 | 0.6589 | 0.8117 |
| No log | 6.9375 | 444 | 0.6819 | 0.5858 | 0.6819 | 0.8258 |
| No log | 6.9688 | 446 | 0.6890 | 0.6064 | 0.6890 | 0.8301 |
| No log | 7.0 | 448 | 0.6884 | 0.6142 | 0.6884 | 0.8297 |
| No log | 7.0312 | 450 | 0.6765 | 0.5977 | 0.6765 | 0.8225 |
| No log | 7.0625 | 452 | 0.6723 | 0.6314 | 0.6723 | 0.8200 |
| No log | 7.0938 | 454 | 0.6719 | 0.6491 | 0.6719 | 0.8197 |
| No log | 7.125 | 456 | 0.6842 | 0.5855 | 0.6842 | 0.8271 |
| No log | 7.1562 | 458 | 0.7328 | 0.5777 | 0.7328 | 0.8560 |
| No log | 7.1875 | 460 | 0.7459 | 0.5973 | 0.7459 | 0.8636 |
| No log | 7.2188 | 462 | 0.7159 | 0.5798 | 0.7159 | 0.8461 |
| No log | 7.25 | 464 | 0.6878 | 0.5373 | 0.6878 | 0.8293 |
| No log | 7.2812 | 466 | 0.7172 | 0.4864 | 0.7172 | 0.8469 |
| No log | 7.3125 | 468 | 0.7246 | 0.4864 | 0.7246 | 0.8512 |
| No log | 7.3438 | 470 | 0.7061 | 0.5386 | 0.7061 | 0.8403 |
| No log | 7.375 | 472 | 0.8012 | 0.5353 | 0.8012 | 0.8951 |
| No log | 7.4062 | 474 | 0.8901 | 0.5 | 0.8901 | 0.9435 |
| No log | 7.4375 | 476 | 0.8548 | 0.4915 | 0.8548 | 0.9245 |
| No log | 7.4688 | 478 | 0.7454 | 0.5894 | 0.7454 | 0.8633 |
| No log | 7.5 | 480 | 0.6929 | 0.5399 | 0.6929 | 0.8324 |
| No log | 7.5312 | 482 | 0.6979 | 0.4941 | 0.6979 | 0.8354 |
| No log | 7.5625 | 484 | 0.6965 | 0.5516 | 0.6965 | 0.8346 |
| No log | 7.5938 | 486 | 0.7315 | 0.5832 | 0.7315 | 0.8553 |
| No log | 7.625 | 488 | 0.7619 | 0.5588 | 0.7619 | 0.8729 |
| No log | 7.6562 | 490 | 0.7431 | 0.5832 | 0.7431 | 0.8620 |
| No log | 7.6875 | 492 | 0.7335 | 0.5301 | 0.7335 | 0.8564 |
| No log | 7.7188 | 494 | 0.7356 | 0.5060 | 0.7356 | 0.8576 |
| No log | 7.75 | 496 | 0.7436 | 0.4707 | 0.7436 | 0.8623 |
| No log | 7.7812 | 498 | 0.7204 | 0.5302 | 0.7204 | 0.8488 |
| 0.3063 | 7.8125 | 500 | 0.7113 | 0.5653 | 0.7113 | 0.8434 |
| 0.3063 | 7.8438 | 502 | 0.7097 | 0.5653 | 0.7097 | 0.8424 |
| 0.3063 | 7.875 | 504 | 0.7052 | 0.5653 | 0.7052 | 0.8398 |
| 0.3063 | 7.9062 | 506 | 0.7051 | 0.5874 | 0.7051 | 0.8397 |
| 0.3063 | 7.9375 | 508 | 0.7159 | 0.5874 | 0.7159 | 0.8461 |
| 0.3063 | 7.9688 | 510 | 0.7224 | 0.5529 | 0.7224 | 0.8499 |
| 0.3063 | 8.0 | 512 | 0.7114 | 0.5529 | 0.7114 | 0.8434 |
| 0.3063 | 8.0312 | 514 | 0.6931 | 0.5529 | 0.6931 | 0.8325 |
| 0.3063 | 8.0625 | 516 | 0.7062 | 0.6102 | 0.7062 | 0.8403 |
| 0.3063 | 8.0938 | 518 | 0.7237 | 0.6003 | 0.7237 | 0.8507 |
| 0.3063 | 8.125 | 520 | 0.7195 | 0.5823 | 0.7195 | 0.8482 |
| 0.3063 | 8.1562 | 522 | 0.6628 | 0.5032 | 0.6628 | 0.8141 |
| 0.3063 | 8.1875 | 524 | 0.6858 | 0.5328 | 0.6858 | 0.8281 |
| 0.3063 | 8.2188 | 526 | 0.7016 | 0.4872 | 0.7016 | 0.8376 |
| 0.3063 | 8.25 | 528 | 0.6897 | 0.5568 | 0.6897 | 0.8305 |
| 0.3063 | 8.2812 | 530 | 0.6771 | 0.5202 | 0.6771 | 0.8228 |
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_k20_task5_organization
Base model
aubmindlab/bert-base-arabertv02