Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_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: 0.8441
- Qwk: 0.7229
- Mse: 0.8441
- Rmse: 0.9188
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 | 0.0263 | 2 | 6.8956 | 0.0179 | 6.8956 | 2.6259 |
| No log | 0.0526 | 4 | 4.5415 | 0.0898 | 4.5415 | 2.1311 |
| No log | 0.0789 | 6 | 3.4915 | -0.0423 | 3.4915 | 1.8686 |
| No log | 0.1053 | 8 | 2.4524 | 0.1806 | 2.4524 | 1.5660 |
| No log | 0.1316 | 10 | 1.8672 | 0.2203 | 1.8672 | 1.3665 |
| No log | 0.1579 | 12 | 1.7101 | 0.25 | 1.7101 | 1.3077 |
| No log | 0.1842 | 14 | 2.4643 | 0.1795 | 2.4643 | 1.5698 |
| No log | 0.2105 | 16 | 2.5652 | 0.1013 | 2.5652 | 1.6016 |
| No log | 0.2368 | 18 | 1.8397 | 0.1774 | 1.8397 | 1.3563 |
| No log | 0.2632 | 20 | 1.4427 | 0.3248 | 1.4427 | 1.2011 |
| No log | 0.2895 | 22 | 1.5171 | 0.3415 | 1.5171 | 1.2317 |
| No log | 0.3158 | 24 | 1.4401 | 0.3333 | 1.4401 | 1.2001 |
| No log | 0.3421 | 26 | 1.3166 | 0.3740 | 1.3166 | 1.1474 |
| No log | 0.3684 | 28 | 1.3746 | 0.3390 | 1.3746 | 1.1724 |
| No log | 0.3947 | 30 | 1.3199 | 0.4 | 1.3199 | 1.1489 |
| No log | 0.4211 | 32 | 1.2754 | 0.4496 | 1.2754 | 1.1293 |
| No log | 0.4474 | 34 | 1.2297 | 0.4769 | 1.2297 | 1.1089 |
| No log | 0.4737 | 36 | 1.5083 | 0.3946 | 1.5083 | 1.2281 |
| No log | 0.5 | 38 | 1.9961 | 0.3396 | 1.9961 | 1.4129 |
| No log | 0.5263 | 40 | 2.2479 | 0.2909 | 2.2479 | 1.4993 |
| No log | 0.5526 | 42 | 1.9869 | 0.3333 | 1.9869 | 1.4096 |
| No log | 0.5789 | 44 | 1.4874 | 0.4658 | 1.4874 | 1.2196 |
| No log | 0.6053 | 46 | 1.1153 | 0.6027 | 1.1153 | 1.0561 |
| No log | 0.6316 | 48 | 1.0723 | 0.625 | 1.0723 | 1.0355 |
| No log | 0.6579 | 50 | 1.1969 | 0.6040 | 1.1969 | 1.0940 |
| No log | 0.6842 | 52 | 1.5986 | 0.5087 | 1.5986 | 1.2644 |
| No log | 0.7105 | 54 | 1.7607 | 0.4813 | 1.7607 | 1.3269 |
| No log | 0.7368 | 56 | 1.8454 | 0.5208 | 1.8454 | 1.3585 |
| No log | 0.7632 | 58 | 1.7875 | 0.5 | 1.7875 | 1.3370 |
| No log | 0.7895 | 60 | 1.8386 | 0.5026 | 1.8386 | 1.3559 |
| No log | 0.8158 | 62 | 1.3839 | 0.5444 | 1.3839 | 1.1764 |
| No log | 0.8421 | 64 | 1.2887 | 0.5359 | 1.2887 | 1.1352 |
| No log | 0.8684 | 66 | 1.3854 | 0.5067 | 1.3854 | 1.1770 |
| No log | 0.8947 | 68 | 1.3471 | 0.5443 | 1.3471 | 1.1607 |
| No log | 0.9211 | 70 | 1.1992 | 0.625 | 1.1992 | 1.0951 |
| No log | 0.9474 | 72 | 1.3239 | 0.5679 | 1.3239 | 1.1506 |
| No log | 0.9737 | 74 | 1.1301 | 0.5974 | 1.1301 | 1.0631 |
| No log | 1.0 | 76 | 0.9511 | 0.6573 | 0.9511 | 0.9752 |
| No log | 1.0263 | 78 | 0.9655 | 0.6667 | 0.9655 | 0.9826 |
| No log | 1.0526 | 80 | 0.9649 | 0.6711 | 0.9649 | 0.9823 |
| No log | 1.0789 | 82 | 0.8579 | 0.7320 | 0.8579 | 0.9262 |
| No log | 1.1053 | 84 | 0.8375 | 0.7237 | 0.8375 | 0.9151 |
| No log | 1.1316 | 86 | 0.8747 | 0.6875 | 0.8747 | 0.9352 |
| No log | 1.1579 | 88 | 0.8853 | 0.6835 | 0.8853 | 0.9409 |
| No log | 1.1842 | 90 | 1.1324 | 0.6477 | 1.1324 | 1.0641 |
| No log | 1.2105 | 92 | 1.5097 | 0.5312 | 1.5097 | 1.2287 |
| No log | 1.2368 | 94 | 1.4594 | 0.5445 | 1.4594 | 1.2081 |
| No log | 1.2632 | 96 | 1.1601 | 0.6386 | 1.1601 | 1.0771 |
| No log | 1.2895 | 98 | 0.9098 | 0.7 | 0.9098 | 0.9538 |
| No log | 1.3158 | 100 | 0.9523 | 0.6710 | 0.9523 | 0.9759 |
| No log | 1.3421 | 102 | 1.0810 | 0.65 | 1.0810 | 1.0397 |
| No log | 1.3684 | 104 | 1.2763 | 0.6012 | 1.2763 | 1.1297 |
| No log | 1.3947 | 106 | 1.1758 | 0.6098 | 1.1758 | 1.0843 |
| No log | 1.4211 | 108 | 0.8846 | 0.7059 | 0.8846 | 0.9405 |
| No log | 1.4474 | 110 | 0.9183 | 0.7285 | 0.9183 | 0.9583 |
| No log | 1.4737 | 112 | 0.9523 | 0.72 | 0.9523 | 0.9759 |
| No log | 1.5 | 114 | 0.9408 | 0.6846 | 0.9408 | 0.9699 |
| No log | 1.5263 | 116 | 1.0583 | 0.6013 | 1.0583 | 1.0287 |
| No log | 1.5526 | 118 | 1.2356 | 0.5765 | 1.2356 | 1.1116 |
| No log | 1.5789 | 120 | 1.2338 | 0.5795 | 1.2338 | 1.1108 |
| No log | 1.6053 | 122 | 0.9627 | 0.6667 | 0.9627 | 0.9812 |
| No log | 1.6316 | 124 | 0.8526 | 0.6923 | 0.8526 | 0.9234 |
| No log | 1.6579 | 126 | 0.7679 | 0.6974 | 0.7679 | 0.8763 |
| No log | 1.6842 | 128 | 0.7600 | 0.6968 | 0.7600 | 0.8718 |
| No log | 1.7105 | 130 | 0.7754 | 0.7097 | 0.7754 | 0.8806 |
| No log | 1.7368 | 132 | 0.7499 | 0.7226 | 0.7499 | 0.8660 |
| No log | 1.7632 | 134 | 0.7497 | 0.7355 | 0.7497 | 0.8658 |
| No log | 1.7895 | 136 | 0.8489 | 0.7134 | 0.8489 | 0.9213 |
| No log | 1.8158 | 138 | 1.0781 | 0.6587 | 1.0781 | 1.0383 |
| No log | 1.8421 | 140 | 1.0641 | 0.6335 | 1.0641 | 1.0316 |
| No log | 1.8684 | 142 | 0.9989 | 0.6013 | 0.9989 | 0.9994 |
| No log | 1.8947 | 144 | 1.0363 | 0.5676 | 1.0363 | 1.0180 |
| No log | 1.9211 | 146 | 1.1704 | 0.5442 | 1.1704 | 1.0819 |
| No log | 1.9474 | 148 | 1.1476 | 0.5974 | 1.1476 | 1.0713 |
| No log | 1.9737 | 150 | 1.1415 | 0.6190 | 1.1415 | 1.0684 |
| No log | 2.0 | 152 | 1.0071 | 0.6977 | 1.0071 | 1.0035 |
| No log | 2.0263 | 154 | 0.7717 | 0.7545 | 0.7717 | 0.8785 |
| No log | 2.0526 | 156 | 0.7169 | 0.7665 | 0.7169 | 0.8467 |
| No log | 2.0789 | 158 | 0.7189 | 0.7647 | 0.7189 | 0.8479 |
| No log | 2.1053 | 160 | 0.8815 | 0.7363 | 0.8815 | 0.9389 |
| No log | 2.1316 | 162 | 1.3626 | 0.6700 | 1.3626 | 1.1673 |
| No log | 2.1579 | 164 | 1.4478 | 0.6269 | 1.4478 | 1.2033 |
| No log | 2.1842 | 166 | 1.0647 | 0.7053 | 1.0647 | 1.0318 |
| No log | 2.2105 | 168 | 0.8162 | 0.7399 | 0.8162 | 0.9034 |
| No log | 2.2368 | 170 | 0.7382 | 0.7485 | 0.7382 | 0.8592 |
| No log | 2.2632 | 172 | 0.6986 | 0.7654 | 0.6986 | 0.8358 |
| No log | 2.2895 | 174 | 0.6768 | 0.7826 | 0.6768 | 0.8227 |
| No log | 2.3158 | 176 | 0.6665 | 0.7683 | 0.6665 | 0.8164 |
| No log | 2.3421 | 178 | 0.6500 | 0.7975 | 0.6500 | 0.8063 |
| No log | 2.3684 | 180 | 0.6394 | 0.7949 | 0.6394 | 0.7996 |
| No log | 2.3947 | 182 | 0.6490 | 0.7898 | 0.6490 | 0.8056 |
| No log | 2.4211 | 184 | 0.7566 | 0.7075 | 0.7566 | 0.8698 |
| No log | 2.4474 | 186 | 0.7590 | 0.7222 | 0.7590 | 0.8712 |
| No log | 2.4737 | 188 | 0.7765 | 0.7413 | 0.7765 | 0.8812 |
| No log | 2.5 | 190 | 0.7958 | 0.7660 | 0.7958 | 0.8921 |
| No log | 2.5263 | 192 | 0.7529 | 0.7891 | 0.7529 | 0.8677 |
| No log | 2.5526 | 194 | 0.6603 | 0.7927 | 0.6603 | 0.8126 |
| No log | 2.5789 | 196 | 0.6773 | 0.8 | 0.6773 | 0.8230 |
| No log | 2.6053 | 198 | 0.6787 | 0.8249 | 0.6787 | 0.8238 |
| No log | 2.6316 | 200 | 0.7794 | 0.7283 | 0.7794 | 0.8828 |
| No log | 2.6579 | 202 | 0.9907 | 0.6503 | 0.9907 | 0.9954 |
| No log | 2.6842 | 204 | 0.8889 | 0.6905 | 0.8889 | 0.9428 |
| No log | 2.7105 | 206 | 0.9096 | 0.7166 | 0.9096 | 0.9537 |
| No log | 2.7368 | 208 | 1.5117 | 0.6162 | 1.5117 | 1.2295 |
| No log | 2.7632 | 210 | 1.8784 | 0.53 | 1.8784 | 1.3706 |
| No log | 2.7895 | 212 | 1.5762 | 0.5900 | 1.5762 | 1.2554 |
| No log | 2.8158 | 214 | 0.9734 | 0.7380 | 0.9734 | 0.9866 |
| No log | 2.8421 | 216 | 0.7724 | 0.7349 | 0.7724 | 0.8789 |
| No log | 2.8684 | 218 | 0.7513 | 0.7329 | 0.7513 | 0.8668 |
| No log | 2.8947 | 220 | 0.7196 | 0.7831 | 0.7196 | 0.8483 |
| No log | 2.9211 | 222 | 0.7048 | 0.8072 | 0.7048 | 0.8395 |
| No log | 2.9474 | 224 | 0.7389 | 0.7826 | 0.7389 | 0.8596 |
| No log | 2.9737 | 226 | 0.9594 | 0.6225 | 0.9594 | 0.9795 |
| No log | 3.0 | 228 | 1.1736 | 0.5517 | 1.1736 | 1.0833 |
| No log | 3.0263 | 230 | 1.0809 | 0.5793 | 1.0809 | 1.0397 |
| No log | 3.0526 | 232 | 0.8753 | 0.64 | 0.8753 | 0.9356 |
| No log | 3.0789 | 234 | 0.7465 | 0.7821 | 0.7465 | 0.8640 |
| No log | 3.1053 | 236 | 0.7430 | 0.8 | 0.7430 | 0.8620 |
| No log | 3.1316 | 238 | 0.8110 | 0.7643 | 0.8110 | 0.9005 |
| No log | 3.1579 | 240 | 0.8789 | 0.6536 | 0.8789 | 0.9375 |
| No log | 3.1842 | 242 | 0.9219 | 0.6443 | 0.9219 | 0.9601 |
| No log | 3.2105 | 244 | 0.8043 | 0.7051 | 0.8043 | 0.8969 |
| No log | 3.2368 | 246 | 0.7360 | 0.8 | 0.7360 | 0.8579 |
| No log | 3.2632 | 248 | 0.7046 | 0.8 | 0.7046 | 0.8394 |
| No log | 3.2895 | 250 | 0.7139 | 0.7901 | 0.7139 | 0.8449 |
| No log | 3.3158 | 252 | 0.7632 | 0.7403 | 0.7632 | 0.8736 |
| No log | 3.3421 | 254 | 0.7957 | 0.7417 | 0.7957 | 0.8920 |
| No log | 3.3684 | 256 | 0.7715 | 0.7483 | 0.7715 | 0.8783 |
| No log | 3.3947 | 258 | 0.7518 | 0.7417 | 0.7518 | 0.8671 |
| No log | 3.4211 | 260 | 0.7545 | 0.7595 | 0.7545 | 0.8686 |
| No log | 3.4474 | 262 | 0.8538 | 0.7586 | 0.8538 | 0.9240 |
| No log | 3.4737 | 264 | 0.8498 | 0.7586 | 0.8498 | 0.9218 |
| No log | 3.5 | 266 | 0.8470 | 0.7571 | 0.8470 | 0.9203 |
| No log | 3.5263 | 268 | 0.9539 | 0.6957 | 0.9539 | 0.9767 |
| No log | 3.5526 | 270 | 0.9850 | 0.6919 | 0.9850 | 0.9925 |
| No log | 3.5789 | 272 | 0.9313 | 0.7204 | 0.9313 | 0.9650 |
| No log | 3.6053 | 274 | 0.8096 | 0.7514 | 0.8096 | 0.8998 |
| No log | 3.6316 | 276 | 0.6869 | 0.7421 | 0.6869 | 0.8288 |
| No log | 3.6579 | 278 | 0.6676 | 0.7421 | 0.6676 | 0.8171 |
| No log | 3.6842 | 280 | 0.7130 | 0.7375 | 0.7130 | 0.8444 |
| No log | 3.7105 | 282 | 0.7539 | 0.7205 | 0.7539 | 0.8683 |
| No log | 3.7368 | 284 | 0.7928 | 0.7134 | 0.7928 | 0.8904 |
| No log | 3.7632 | 286 | 0.7708 | 0.7059 | 0.7708 | 0.8779 |
| No log | 3.7895 | 288 | 0.7791 | 0.7059 | 0.7791 | 0.8827 |
| No log | 3.8158 | 290 | 0.7592 | 0.6933 | 0.7592 | 0.8713 |
| No log | 3.8421 | 292 | 0.7092 | 0.72 | 0.7092 | 0.8422 |
| No log | 3.8684 | 294 | 0.6855 | 0.7375 | 0.6855 | 0.8279 |
| No log | 3.8947 | 296 | 0.7073 | 0.7273 | 0.7073 | 0.8410 |
| No log | 3.9211 | 298 | 0.7103 | 0.7349 | 0.7103 | 0.8428 |
| No log | 3.9474 | 300 | 0.6962 | 0.7665 | 0.6962 | 0.8344 |
| No log | 3.9737 | 302 | 0.7864 | 0.7186 | 0.7864 | 0.8868 |
| No log | 4.0 | 304 | 0.7947 | 0.7073 | 0.7947 | 0.8914 |
| No log | 4.0263 | 306 | 0.7387 | 0.7342 | 0.7387 | 0.8595 |
| No log | 4.0526 | 308 | 0.7055 | 0.7613 | 0.7055 | 0.8399 |
| No log | 4.0789 | 310 | 0.7340 | 0.7389 | 0.7340 | 0.8568 |
| No log | 4.1053 | 312 | 0.8408 | 0.6667 | 0.8408 | 0.9169 |
| No log | 4.1316 | 314 | 0.9305 | 0.625 | 0.9305 | 0.9646 |
| No log | 4.1579 | 316 | 0.8956 | 0.6460 | 0.8956 | 0.9463 |
| No log | 4.1842 | 318 | 0.7838 | 0.7239 | 0.7838 | 0.8853 |
| No log | 4.2105 | 320 | 0.6970 | 0.7389 | 0.6970 | 0.8349 |
| No log | 4.2368 | 322 | 0.6901 | 0.7484 | 0.6901 | 0.8307 |
| No log | 4.2632 | 324 | 0.7032 | 0.75 | 0.7032 | 0.8386 |
| No log | 4.2895 | 326 | 0.7457 | 0.7125 | 0.7457 | 0.8635 |
| No log | 4.3158 | 328 | 0.8089 | 0.7030 | 0.8089 | 0.8994 |
| No log | 4.3421 | 330 | 0.7824 | 0.7305 | 0.7824 | 0.8845 |
| No log | 4.3684 | 332 | 0.6808 | 0.7439 | 0.6808 | 0.8251 |
| No log | 4.3947 | 334 | 0.6332 | 0.7742 | 0.6332 | 0.7957 |
| No log | 4.4211 | 336 | 0.6242 | 0.7643 | 0.6242 | 0.7901 |
| No log | 4.4474 | 338 | 0.6475 | 0.7547 | 0.6475 | 0.8047 |
| No log | 4.4737 | 340 | 0.6657 | 0.7226 | 0.6657 | 0.8159 |
| No log | 4.5 | 342 | 0.6813 | 0.7532 | 0.6813 | 0.8254 |
| No log | 4.5263 | 344 | 0.7163 | 0.7226 | 0.7163 | 0.8463 |
| No log | 4.5526 | 346 | 0.7654 | 0.7089 | 0.7654 | 0.8748 |
| No log | 4.5789 | 348 | 0.7470 | 0.7355 | 0.7470 | 0.8643 |
| No log | 4.6053 | 350 | 0.7286 | 0.7451 | 0.7286 | 0.8536 |
| No log | 4.6316 | 352 | 0.7136 | 0.7712 | 0.7136 | 0.8448 |
| No log | 4.6579 | 354 | 0.6635 | 0.7662 | 0.6635 | 0.8145 |
| No log | 4.6842 | 356 | 0.6737 | 0.7484 | 0.6737 | 0.8208 |
| No log | 4.7105 | 358 | 0.6480 | 0.7662 | 0.6480 | 0.8050 |
| No log | 4.7368 | 360 | 0.6739 | 0.7355 | 0.6739 | 0.8209 |
| No log | 4.7632 | 362 | 0.7228 | 0.7333 | 0.7228 | 0.8502 |
| No log | 4.7895 | 364 | 0.6947 | 0.7273 | 0.6947 | 0.8335 |
| No log | 4.8158 | 366 | 0.7009 | 0.7484 | 0.7009 | 0.8372 |
| No log | 4.8421 | 368 | 0.7145 | 0.7190 | 0.7145 | 0.8453 |
| No log | 4.8684 | 370 | 0.7316 | 0.7561 | 0.7316 | 0.8553 |
| No log | 4.8947 | 372 | 0.7486 | 0.7607 | 0.7486 | 0.8652 |
| No log | 4.9211 | 374 | 0.7394 | 0.7607 | 0.7394 | 0.8599 |
| No log | 4.9474 | 376 | 0.7109 | 0.7665 | 0.7109 | 0.8431 |
| No log | 4.9737 | 378 | 0.6829 | 0.7607 | 0.6829 | 0.8264 |
| No log | 5.0 | 380 | 0.6773 | 0.75 | 0.6773 | 0.8230 |
| No log | 5.0263 | 382 | 0.7281 | 0.7407 | 0.7281 | 0.8533 |
| No log | 5.0526 | 384 | 0.8724 | 0.6951 | 0.8724 | 0.9340 |
| No log | 5.0789 | 386 | 0.8905 | 0.6905 | 0.8905 | 0.9437 |
| No log | 5.1053 | 388 | 0.7652 | 0.7602 | 0.7652 | 0.8747 |
| No log | 5.1316 | 390 | 0.6702 | 0.7574 | 0.6702 | 0.8186 |
| No log | 5.1579 | 392 | 0.6630 | 0.7665 | 0.6630 | 0.8142 |
| No log | 5.1842 | 394 | 0.7159 | 0.7719 | 0.7159 | 0.8461 |
| No log | 5.2105 | 396 | 0.7566 | 0.7674 | 0.7566 | 0.8698 |
| No log | 5.2368 | 398 | 0.8607 | 0.7186 | 0.8607 | 0.9278 |
| No log | 5.2632 | 400 | 0.8121 | 0.7037 | 0.8121 | 0.9012 |
| No log | 5.2895 | 402 | 0.7831 | 0.7125 | 0.7831 | 0.8849 |
| No log | 5.3158 | 404 | 0.7285 | 0.775 | 0.7285 | 0.8535 |
| No log | 5.3421 | 406 | 0.7738 | 0.7595 | 0.7738 | 0.8797 |
| No log | 5.3684 | 408 | 0.8065 | 0.7375 | 0.8065 | 0.8981 |
| No log | 5.3947 | 410 | 0.8058 | 0.7607 | 0.8058 | 0.8977 |
| No log | 5.4211 | 412 | 0.7622 | 0.7665 | 0.7622 | 0.8731 |
| No log | 5.4474 | 414 | 0.7534 | 0.7831 | 0.7534 | 0.8680 |
| No log | 5.4737 | 416 | 0.7310 | 0.7665 | 0.7310 | 0.8550 |
| No log | 5.5 | 418 | 0.7350 | 0.7831 | 0.7350 | 0.8573 |
| No log | 5.5263 | 420 | 0.7892 | 0.7317 | 0.7892 | 0.8884 |
| No log | 5.5526 | 422 | 0.8079 | 0.7362 | 0.8079 | 0.8988 |
| No log | 5.5789 | 424 | 0.7801 | 0.7561 | 0.7801 | 0.8832 |
| No log | 5.6053 | 426 | 0.7490 | 0.7515 | 0.7490 | 0.8655 |
| No log | 5.6316 | 428 | 0.7872 | 0.7362 | 0.7872 | 0.8873 |
| No log | 5.6579 | 430 | 0.8303 | 0.7362 | 0.8303 | 0.9112 |
| No log | 5.6842 | 432 | 0.8401 | 0.7439 | 0.8401 | 0.9165 |
| No log | 5.7105 | 434 | 0.8501 | 0.7284 | 0.8501 | 0.9220 |
| No log | 5.7368 | 436 | 0.8563 | 0.7205 | 0.8563 | 0.9254 |
| No log | 5.7632 | 438 | 0.8228 | 0.7362 | 0.8228 | 0.9071 |
| No log | 5.7895 | 440 | 0.7581 | 0.7362 | 0.7581 | 0.8707 |
| No log | 5.8158 | 442 | 0.7799 | 0.7237 | 0.7799 | 0.8831 |
| No log | 5.8421 | 444 | 0.8068 | 0.7105 | 0.8068 | 0.8982 |
| No log | 5.8684 | 446 | 0.7483 | 0.7355 | 0.7483 | 0.8651 |
| No log | 5.8947 | 448 | 0.7303 | 0.7758 | 0.7303 | 0.8546 |
| No log | 5.9211 | 450 | 0.7525 | 0.7758 | 0.7525 | 0.8675 |
| No log | 5.9474 | 452 | 0.7463 | 0.7758 | 0.7463 | 0.8639 |
| No log | 5.9737 | 454 | 0.7576 | 0.7453 | 0.7576 | 0.8704 |
| No log | 6.0 | 456 | 0.7638 | 0.7516 | 0.7638 | 0.8739 |
| No log | 6.0263 | 458 | 0.7760 | 0.7516 | 0.7760 | 0.8809 |
| No log | 6.0526 | 460 | 0.7744 | 0.7547 | 0.7744 | 0.8800 |
| No log | 6.0789 | 462 | 0.7557 | 0.7654 | 0.7557 | 0.8693 |
| No log | 6.1053 | 464 | 0.7188 | 0.7784 | 0.7188 | 0.8478 |
| No log | 6.1316 | 466 | 0.6977 | 0.7811 | 0.6977 | 0.8353 |
| No log | 6.1579 | 468 | 0.6776 | 0.7578 | 0.6776 | 0.8232 |
| No log | 6.1842 | 470 | 0.6797 | 0.75 | 0.6797 | 0.8244 |
| No log | 6.2105 | 472 | 0.6992 | 0.75 | 0.6992 | 0.8362 |
| No log | 6.2368 | 474 | 0.7670 | 0.7407 | 0.7670 | 0.8758 |
| No log | 6.2632 | 476 | 0.9308 | 0.6962 | 0.9308 | 0.9648 |
| No log | 6.2895 | 478 | 1.1809 | 0.5952 | 1.1809 | 1.0867 |
| No log | 6.3158 | 480 | 1.2668 | 0.5955 | 1.2668 | 1.1255 |
| No log | 6.3421 | 482 | 1.1704 | 0.6057 | 1.1704 | 1.0818 |
| No log | 6.3684 | 484 | 0.9865 | 0.6790 | 0.9865 | 0.9932 |
| No log | 6.3947 | 486 | 0.8496 | 0.7470 | 0.8496 | 0.9217 |
| No log | 6.4211 | 488 | 0.8138 | 0.7561 | 0.8138 | 0.9021 |
| No log | 6.4474 | 490 | 0.7649 | 0.7561 | 0.7649 | 0.8746 |
| No log | 6.4737 | 492 | 0.7262 | 0.7879 | 0.7262 | 0.8522 |
| No log | 6.5 | 494 | 0.7228 | 0.7349 | 0.7228 | 0.8502 |
| No log | 6.5263 | 496 | 0.7348 | 0.7349 | 0.7348 | 0.8572 |
| No log | 6.5526 | 498 | 0.7226 | 0.7545 | 0.7226 | 0.8501 |
| 0.3809 | 6.5789 | 500 | 0.7886 | 0.7636 | 0.7886 | 0.8880 |
| 0.3809 | 6.6053 | 502 | 0.9264 | 0.7170 | 0.9264 | 0.9625 |
| 0.3809 | 6.6316 | 504 | 0.9370 | 0.7037 | 0.9370 | 0.9680 |
| 0.3809 | 6.6579 | 506 | 0.9389 | 0.675 | 0.9389 | 0.9690 |
| 0.3809 | 6.6842 | 508 | 0.8416 | 0.7229 | 0.8416 | 0.9174 |
| 0.3809 | 6.7105 | 510 | 0.8441 | 0.7229 | 0.8441 | 0.9188 |
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_run1_AugV5_k16_task1_organization
Base model
aubmindlab/bert-base-arabertv02