Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_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: 1.1151
- Qwk: 0.4725
- Mse: 1.1151
- Rmse: 1.0560
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 | 0.0385 | 2 | 5.4361 | -0.0099 | 5.4361 | 2.3316 |
| No log | 0.0769 | 4 | 3.1557 | 0.0822 | 3.1557 | 1.7764 |
| No log | 0.1154 | 6 | 1.7704 | 0.1046 | 1.7704 | 1.3305 |
| No log | 0.1538 | 8 | 1.2901 | 0.2354 | 1.2901 | 1.1358 |
| No log | 0.1923 | 10 | 1.2083 | 0.2575 | 1.2083 | 1.0992 |
| No log | 0.2308 | 12 | 1.1391 | 0.3068 | 1.1391 | 1.0673 |
| No log | 0.2692 | 14 | 1.1773 | 0.3054 | 1.1773 | 1.0850 |
| No log | 0.3077 | 16 | 1.2400 | 0.2109 | 1.2400 | 1.1135 |
| No log | 0.3462 | 18 | 1.1825 | 0.2758 | 1.1825 | 1.0874 |
| No log | 0.3846 | 20 | 1.1187 | 0.3261 | 1.1187 | 1.0577 |
| No log | 0.4231 | 22 | 1.3143 | 0.1520 | 1.3143 | 1.1465 |
| No log | 0.4615 | 24 | 1.3372 | 0.1677 | 1.3372 | 1.1564 |
| No log | 0.5 | 26 | 1.2424 | 0.2293 | 1.2424 | 1.1146 |
| No log | 0.5385 | 28 | 1.0372 | 0.3799 | 1.0372 | 1.0184 |
| No log | 0.5769 | 30 | 0.9728 | 0.3952 | 0.9728 | 0.9863 |
| No log | 0.6154 | 32 | 1.0501 | 0.4073 | 1.0501 | 1.0247 |
| No log | 0.6538 | 34 | 0.9894 | 0.3727 | 0.9894 | 0.9947 |
| No log | 0.6923 | 36 | 0.9321 | 0.3679 | 0.9321 | 0.9655 |
| No log | 0.7308 | 38 | 0.9283 | 0.4429 | 0.9283 | 0.9635 |
| No log | 0.7692 | 40 | 1.1069 | 0.3763 | 1.1069 | 1.0521 |
| No log | 0.8077 | 42 | 1.5124 | 0.2235 | 1.5124 | 1.2298 |
| No log | 0.8462 | 44 | 1.6055 | 0.2046 | 1.6055 | 1.2671 |
| No log | 0.8846 | 46 | 1.1031 | 0.3854 | 1.1031 | 1.0503 |
| No log | 0.9231 | 48 | 0.9333 | 0.4425 | 0.9333 | 0.9661 |
| No log | 0.9615 | 50 | 0.8983 | 0.4750 | 0.8983 | 0.9478 |
| No log | 1.0 | 52 | 0.9091 | 0.4588 | 0.9091 | 0.9535 |
| No log | 1.0385 | 54 | 0.9058 | 0.3938 | 0.9058 | 0.9517 |
| No log | 1.0769 | 56 | 0.9833 | 0.4146 | 0.9833 | 0.9916 |
| No log | 1.1154 | 58 | 0.9343 | 0.3545 | 0.9343 | 0.9666 |
| No log | 1.1538 | 60 | 0.9672 | 0.3844 | 0.9672 | 0.9835 |
| No log | 1.1923 | 62 | 1.0974 | 0.3476 | 1.0974 | 1.0476 |
| No log | 1.2308 | 64 | 1.1122 | 0.3975 | 1.1122 | 1.0546 |
| No log | 1.2692 | 66 | 1.0680 | 0.2927 | 1.0680 | 1.0334 |
| No log | 1.3077 | 68 | 1.0512 | 0.3471 | 1.0512 | 1.0253 |
| No log | 1.3462 | 70 | 0.9681 | 0.3687 | 0.9681 | 0.9839 |
| No log | 1.3846 | 72 | 0.9504 | 0.3504 | 0.9504 | 0.9749 |
| No log | 1.4231 | 74 | 0.9447 | 0.3656 | 0.9447 | 0.9719 |
| No log | 1.4615 | 76 | 0.9075 | 0.4137 | 0.9075 | 0.9526 |
| No log | 1.5 | 78 | 0.9039 | 0.3661 | 0.9039 | 0.9507 |
| No log | 1.5385 | 80 | 0.9154 | 0.3740 | 0.9154 | 0.9568 |
| No log | 1.5769 | 82 | 0.8248 | 0.4286 | 0.8248 | 0.9082 |
| No log | 1.6154 | 84 | 0.7853 | 0.5040 | 0.7853 | 0.8862 |
| No log | 1.6538 | 86 | 0.7916 | 0.5217 | 0.7916 | 0.8897 |
| No log | 1.6923 | 88 | 0.8024 | 0.5197 | 0.8024 | 0.8958 |
| No log | 1.7308 | 90 | 0.7580 | 0.5892 | 0.7580 | 0.8706 |
| No log | 1.7692 | 92 | 0.9029 | 0.5068 | 0.9029 | 0.9502 |
| No log | 1.8077 | 94 | 1.0181 | 0.4318 | 1.0181 | 1.0090 |
| No log | 1.8462 | 96 | 0.9708 | 0.4178 | 0.9708 | 0.9853 |
| No log | 1.8846 | 98 | 0.8429 | 0.5104 | 0.8429 | 0.9181 |
| No log | 1.9231 | 100 | 0.7902 | 0.5427 | 0.7902 | 0.8889 |
| No log | 1.9615 | 102 | 0.9223 | 0.5377 | 0.9223 | 0.9604 |
| No log | 2.0 | 104 | 0.8610 | 0.5597 | 0.8610 | 0.9279 |
| No log | 2.0385 | 106 | 0.7629 | 0.6027 | 0.7629 | 0.8734 |
| No log | 2.0769 | 108 | 0.8184 | 0.6039 | 0.8184 | 0.9046 |
| No log | 2.1154 | 110 | 0.8581 | 0.5755 | 0.8581 | 0.9263 |
| No log | 2.1538 | 112 | 0.8360 | 0.6312 | 0.8360 | 0.9143 |
| No log | 2.1923 | 114 | 0.7966 | 0.5967 | 0.7966 | 0.8925 |
| No log | 2.2308 | 116 | 0.8088 | 0.5507 | 0.8088 | 0.8993 |
| No log | 2.2692 | 118 | 0.7838 | 0.5590 | 0.7838 | 0.8853 |
| No log | 2.3077 | 120 | 0.7425 | 0.5492 | 0.7425 | 0.8617 |
| No log | 2.3462 | 122 | 0.8204 | 0.5790 | 0.8204 | 0.9058 |
| No log | 2.3846 | 124 | 1.0543 | 0.4950 | 1.0543 | 1.0268 |
| No log | 2.4231 | 126 | 1.3639 | 0.4145 | 1.3639 | 1.1679 |
| No log | 2.4615 | 128 | 1.4237 | 0.4031 | 1.4237 | 1.1932 |
| No log | 2.5 | 130 | 1.1796 | 0.4410 | 1.1796 | 1.0861 |
| No log | 2.5385 | 132 | 0.9521 | 0.4594 | 0.9521 | 0.9758 |
| No log | 2.5769 | 134 | 0.8845 | 0.5119 | 0.8845 | 0.9405 |
| No log | 2.6154 | 136 | 0.8711 | 0.5873 | 0.8711 | 0.9333 |
| No log | 2.6538 | 138 | 0.9246 | 0.5449 | 0.9246 | 0.9616 |
| No log | 2.6923 | 140 | 0.9783 | 0.5536 | 0.9783 | 0.9891 |
| No log | 2.7308 | 142 | 1.0203 | 0.5357 | 1.0203 | 1.0101 |
| No log | 2.7692 | 144 | 1.0458 | 0.5416 | 1.0458 | 1.0226 |
| No log | 2.8077 | 146 | 1.0516 | 0.4995 | 1.0516 | 1.0255 |
| No log | 2.8462 | 148 | 0.9665 | 0.5182 | 0.9665 | 0.9831 |
| No log | 2.8846 | 150 | 0.8633 | 0.5977 | 0.8633 | 0.9292 |
| No log | 2.9231 | 152 | 0.8689 | 0.5997 | 0.8689 | 0.9322 |
| No log | 2.9615 | 154 | 0.9468 | 0.5311 | 0.9468 | 0.9730 |
| No log | 3.0 | 156 | 1.0330 | 0.4954 | 1.0330 | 1.0164 |
| No log | 3.0385 | 158 | 1.0800 | 0.4696 | 1.0800 | 1.0392 |
| No log | 3.0769 | 160 | 1.0764 | 0.4976 | 1.0764 | 1.0375 |
| No log | 3.1154 | 162 | 1.0986 | 0.5326 | 1.0986 | 1.0481 |
| No log | 3.1538 | 164 | 1.2136 | 0.5011 | 1.2136 | 1.1016 |
| No log | 3.1923 | 166 | 1.2199 | 0.4927 | 1.2199 | 1.1045 |
| No log | 3.2308 | 168 | 1.1769 | 0.4842 | 1.1769 | 1.0848 |
| No log | 3.2692 | 170 | 1.1238 | 0.4621 | 1.1238 | 1.0601 |
| No log | 3.3077 | 172 | 1.0503 | 0.4614 | 1.0503 | 1.0248 |
| No log | 3.3462 | 174 | 0.9067 | 0.5413 | 0.9067 | 0.9522 |
| No log | 3.3846 | 176 | 0.8313 | 0.6179 | 0.8313 | 0.9117 |
| No log | 3.4231 | 178 | 0.8006 | 0.5589 | 0.8006 | 0.8948 |
| No log | 3.4615 | 180 | 0.8196 | 0.5522 | 0.8196 | 0.9053 |
| No log | 3.5 | 182 | 0.8411 | 0.5573 | 0.8411 | 0.9171 |
| No log | 3.5385 | 184 | 0.8569 | 0.5322 | 0.8569 | 0.9257 |
| No log | 3.5769 | 186 | 0.8465 | 0.5222 | 0.8465 | 0.9201 |
| No log | 3.6154 | 188 | 0.8484 | 0.4993 | 0.8484 | 0.9211 |
| No log | 3.6538 | 190 | 0.8531 | 0.4991 | 0.8531 | 0.9236 |
| No log | 3.6923 | 192 | 0.8143 | 0.5519 | 0.8143 | 0.9024 |
| No log | 3.7308 | 194 | 0.7946 | 0.6463 | 0.7946 | 0.8914 |
| No log | 3.7692 | 196 | 0.7584 | 0.6542 | 0.7584 | 0.8709 |
| No log | 3.8077 | 198 | 0.7762 | 0.6731 | 0.7762 | 0.8810 |
| No log | 3.8462 | 200 | 0.8372 | 0.6392 | 0.8372 | 0.9150 |
| No log | 3.8846 | 202 | 0.9393 | 0.6142 | 0.9393 | 0.9692 |
| No log | 3.9231 | 204 | 0.8660 | 0.5887 | 0.8660 | 0.9306 |
| No log | 3.9615 | 206 | 0.7202 | 0.6231 | 0.7202 | 0.8486 |
| No log | 4.0 | 208 | 0.7081 | 0.6696 | 0.7081 | 0.8415 |
| No log | 4.0385 | 210 | 0.7804 | 0.6772 | 0.7804 | 0.8834 |
| No log | 4.0769 | 212 | 0.9040 | 0.6168 | 0.9040 | 0.9508 |
| No log | 4.1154 | 214 | 0.9732 | 0.6124 | 0.9732 | 0.9865 |
| No log | 4.1538 | 216 | 0.9833 | 0.6206 | 0.9833 | 0.9916 |
| No log | 4.1923 | 218 | 0.8742 | 0.6256 | 0.8742 | 0.9350 |
| No log | 4.2308 | 220 | 0.8470 | 0.6462 | 0.8470 | 0.9203 |
| No log | 4.2692 | 222 | 0.7964 | 0.6855 | 0.7964 | 0.8924 |
| No log | 4.3077 | 224 | 0.7755 | 0.6554 | 0.7755 | 0.8806 |
| No log | 4.3462 | 226 | 0.8283 | 0.5759 | 0.8283 | 0.9101 |
| No log | 4.3846 | 228 | 0.8709 | 0.5539 | 0.8709 | 0.9332 |
| No log | 4.4231 | 230 | 0.9137 | 0.6110 | 0.9137 | 0.9559 |
| No log | 4.4615 | 232 | 1.0296 | 0.5786 | 1.0296 | 1.0147 |
| No log | 4.5 | 234 | 1.0284 | 0.5998 | 1.0284 | 1.0141 |
| No log | 4.5385 | 236 | 1.0106 | 0.5753 | 1.0106 | 1.0053 |
| No log | 4.5769 | 238 | 0.9101 | 0.6094 | 0.9101 | 0.9540 |
| No log | 4.6154 | 240 | 0.8634 | 0.6313 | 0.8634 | 0.9292 |
| No log | 4.6538 | 242 | 0.7814 | 0.6714 | 0.7814 | 0.8840 |
| No log | 4.6923 | 244 | 0.7375 | 0.6819 | 0.7375 | 0.8588 |
| No log | 4.7308 | 246 | 0.7409 | 0.6646 | 0.7409 | 0.8608 |
| No log | 4.7692 | 248 | 0.8688 | 0.6380 | 0.8688 | 0.9321 |
| No log | 4.8077 | 250 | 1.0785 | 0.5458 | 1.0785 | 1.0385 |
| No log | 4.8462 | 252 | 1.0282 | 0.5456 | 1.0282 | 1.0140 |
| No log | 4.8846 | 254 | 1.0800 | 0.5400 | 1.0800 | 1.0392 |
| No log | 4.9231 | 256 | 1.0383 | 0.5433 | 1.0383 | 1.0190 |
| No log | 4.9615 | 258 | 1.0182 | 0.5650 | 1.0182 | 1.0091 |
| No log | 5.0 | 260 | 0.9058 | 0.6162 | 0.9058 | 0.9517 |
| No log | 5.0385 | 262 | 0.9067 | 0.6119 | 0.9067 | 0.9522 |
| No log | 5.0769 | 264 | 1.1238 | 0.5246 | 1.1238 | 1.0601 |
| No log | 5.1154 | 266 | 1.2325 | 0.5056 | 1.2325 | 1.1102 |
| No log | 5.1538 | 268 | 1.1393 | 0.5276 | 1.1393 | 1.0674 |
| No log | 5.1923 | 270 | 1.1389 | 0.5597 | 1.1389 | 1.0672 |
| No log | 5.2308 | 272 | 1.1107 | 0.5752 | 1.1107 | 1.0539 |
| No log | 5.2692 | 274 | 1.1340 | 0.5816 | 1.1340 | 1.0649 |
| No log | 5.3077 | 276 | 1.2650 | 0.5482 | 1.2650 | 1.1247 |
| No log | 5.3462 | 278 | 1.4593 | 0.4925 | 1.4593 | 1.2080 |
| No log | 5.3846 | 280 | 1.3818 | 0.5246 | 1.3818 | 1.1755 |
| No log | 5.4231 | 282 | 1.0920 | 0.5583 | 1.0920 | 1.0450 |
| No log | 5.4615 | 284 | 0.9111 | 0.6207 | 0.9111 | 0.9545 |
| No log | 5.5 | 286 | 0.8870 | 0.6195 | 0.8870 | 0.9418 |
| No log | 5.5385 | 288 | 0.9488 | 0.6034 | 0.9488 | 0.9740 |
| No log | 5.5769 | 290 | 1.0982 | 0.5764 | 1.0982 | 1.0479 |
| No log | 5.6154 | 292 | 1.1579 | 0.5852 | 1.1579 | 1.0761 |
| No log | 5.6538 | 294 | 1.1044 | 0.5852 | 1.1044 | 1.0509 |
| No log | 5.6923 | 296 | 1.1156 | 0.5840 | 1.1156 | 1.0562 |
| No log | 5.7308 | 298 | 1.1935 | 0.5586 | 1.1936 | 1.0925 |
| No log | 5.7692 | 300 | 1.2443 | 0.5145 | 1.2443 | 1.1155 |
| No log | 5.8077 | 302 | 1.1932 | 0.5078 | 1.1932 | 1.0924 |
| No log | 5.8462 | 304 | 1.0937 | 0.5529 | 1.0937 | 1.0458 |
| No log | 5.8846 | 306 | 1.0111 | 0.5694 | 1.0111 | 1.0055 |
| No log | 5.9231 | 308 | 0.9505 | 0.5778 | 0.9505 | 0.9749 |
| No log | 5.9615 | 310 | 0.8219 | 0.5872 | 0.8219 | 0.9066 |
| No log | 6.0 | 312 | 0.7599 | 0.6228 | 0.7599 | 0.8717 |
| No log | 6.0385 | 314 | 0.8002 | 0.6009 | 0.8002 | 0.8946 |
| No log | 6.0769 | 316 | 0.8954 | 0.5912 | 0.8954 | 0.9462 |
| No log | 6.1154 | 318 | 1.0182 | 0.5439 | 1.0182 | 1.0091 |
| No log | 6.1538 | 320 | 0.9138 | 0.5911 | 0.9138 | 0.9559 |
| No log | 6.1923 | 322 | 0.8677 | 0.6128 | 0.8677 | 0.9315 |
| No log | 6.2308 | 324 | 0.9021 | 0.6098 | 0.9021 | 0.9498 |
| No log | 6.2692 | 326 | 0.8868 | 0.6102 | 0.8868 | 0.9417 |
| No log | 6.3077 | 328 | 0.9285 | 0.6143 | 0.9285 | 0.9636 |
| No log | 6.3462 | 330 | 0.9367 | 0.5962 | 0.9367 | 0.9678 |
| No log | 6.3846 | 332 | 0.9550 | 0.5779 | 0.9550 | 0.9773 |
| No log | 6.4231 | 334 | 0.8964 | 0.6069 | 0.8964 | 0.9468 |
| No log | 6.4615 | 336 | 0.8257 | 0.6316 | 0.8257 | 0.9087 |
| No log | 6.5 | 338 | 0.7985 | 0.6304 | 0.7985 | 0.8936 |
| No log | 6.5385 | 340 | 0.8332 | 0.6297 | 0.8332 | 0.9128 |
| No log | 6.5769 | 342 | 0.8921 | 0.6121 | 0.8921 | 0.9445 |
| No log | 6.6154 | 344 | 0.9498 | 0.6029 | 0.9498 | 0.9746 |
| No log | 6.6538 | 346 | 0.9562 | 0.6128 | 0.9562 | 0.9779 |
| No log | 6.6923 | 348 | 1.0278 | 0.6229 | 1.0278 | 1.0138 |
| No log | 6.7308 | 350 | 0.9829 | 0.5729 | 0.9829 | 0.9914 |
| No log | 6.7692 | 352 | 0.9396 | 0.5795 | 0.9396 | 0.9693 |
| No log | 6.8077 | 354 | 0.8571 | 0.6105 | 0.8571 | 0.9258 |
| No log | 6.8462 | 356 | 0.8612 | 0.6191 | 0.8612 | 0.9280 |
| No log | 6.8846 | 358 | 1.0068 | 0.5781 | 1.0068 | 1.0034 |
| No log | 6.9231 | 360 | 1.2033 | 0.5478 | 1.2033 | 1.0969 |
| No log | 6.9615 | 362 | 1.2253 | 0.5675 | 1.2253 | 1.1069 |
| No log | 7.0 | 364 | 1.1417 | 0.5817 | 1.1417 | 1.0685 |
| No log | 7.0385 | 366 | 0.9966 | 0.6286 | 0.9966 | 0.9983 |
| No log | 7.0769 | 368 | 0.8527 | 0.6172 | 0.8527 | 0.9234 |
| No log | 7.1154 | 370 | 0.8375 | 0.6063 | 0.8375 | 0.9152 |
| No log | 7.1538 | 372 | 0.8682 | 0.6286 | 0.8682 | 0.9318 |
| No log | 7.1923 | 374 | 1.0529 | 0.5858 | 1.0529 | 1.0261 |
| No log | 7.2308 | 376 | 1.2010 | 0.5258 | 1.2010 | 1.0959 |
| No log | 7.2692 | 378 | 1.1668 | 0.5383 | 1.1668 | 1.0802 |
| No log | 7.3077 | 380 | 1.0524 | 0.5306 | 1.0524 | 1.0259 |
| No log | 7.3462 | 382 | 0.9512 | 0.5769 | 0.9512 | 0.9753 |
| No log | 7.3846 | 384 | 0.9094 | 0.5875 | 0.9094 | 0.9536 |
| No log | 7.4231 | 386 | 1.0159 | 0.5776 | 1.0159 | 1.0079 |
| No log | 7.4615 | 388 | 1.1280 | 0.5638 | 1.1280 | 1.0621 |
| No log | 7.5 | 390 | 1.1369 | 0.5684 | 1.1369 | 1.0663 |
| No log | 7.5385 | 392 | 1.0540 | 0.5867 | 1.0540 | 1.0266 |
| No log | 7.5769 | 394 | 0.8602 | 0.6186 | 0.8602 | 0.9275 |
| No log | 7.6154 | 396 | 0.7581 | 0.6156 | 0.7581 | 0.8707 |
| No log | 7.6538 | 398 | 0.7673 | 0.6025 | 0.7673 | 0.8760 |
| No log | 7.6923 | 400 | 0.8006 | 0.6400 | 0.8006 | 0.8948 |
| No log | 7.7308 | 402 | 0.8648 | 0.6316 | 0.8648 | 0.9300 |
| No log | 7.7692 | 404 | 0.8691 | 0.6157 | 0.8691 | 0.9323 |
| No log | 7.8077 | 406 | 0.8431 | 0.6041 | 0.8431 | 0.9182 |
| No log | 7.8462 | 408 | 0.8646 | 0.6164 | 0.8646 | 0.9298 |
| No log | 7.8846 | 410 | 0.9183 | 0.6295 | 0.9183 | 0.9583 |
| No log | 7.9231 | 412 | 0.9344 | 0.6225 | 0.9344 | 0.9666 |
| No log | 7.9615 | 414 | 0.9049 | 0.6202 | 0.9049 | 0.9513 |
| No log | 8.0 | 416 | 0.8442 | 0.6522 | 0.8442 | 0.9188 |
| No log | 8.0385 | 418 | 0.7946 | 0.6517 | 0.7946 | 0.8914 |
| No log | 8.0769 | 420 | 0.7933 | 0.6481 | 0.7933 | 0.8907 |
| No log | 8.1154 | 422 | 0.8078 | 0.6498 | 0.8078 | 0.8988 |
| No log | 8.1538 | 424 | 0.8715 | 0.6559 | 0.8715 | 0.9335 |
| No log | 8.1923 | 426 | 1.0636 | 0.6344 | 1.0636 | 1.0313 |
| No log | 8.2308 | 428 | 1.2593 | 0.5761 | 1.2593 | 1.1222 |
| No log | 8.2692 | 430 | 1.2394 | 0.5772 | 1.2394 | 1.1133 |
| No log | 8.3077 | 432 | 1.0941 | 0.5785 | 1.0941 | 1.0460 |
| No log | 8.3462 | 434 | 0.8905 | 0.6203 | 0.8905 | 0.9437 |
| No log | 8.3846 | 436 | 0.8080 | 0.6313 | 0.8080 | 0.8989 |
| No log | 8.4231 | 438 | 0.8032 | 0.6385 | 0.8032 | 0.8962 |
| No log | 8.4615 | 440 | 0.8617 | 0.6255 | 0.8617 | 0.9283 |
| No log | 8.5 | 442 | 0.9989 | 0.5985 | 0.9989 | 0.9994 |
| No log | 8.5385 | 444 | 1.0637 | 0.6031 | 1.0637 | 1.0313 |
| No log | 8.5769 | 446 | 1.0483 | 0.6003 | 1.0483 | 1.0239 |
| No log | 8.6154 | 448 | 1.0509 | 0.5924 | 1.0509 | 1.0251 |
| No log | 8.6538 | 450 | 1.0928 | 0.5728 | 1.0928 | 1.0454 |
| No log | 8.6923 | 452 | 1.0676 | 0.5672 | 1.0676 | 1.0332 |
| No log | 8.7308 | 454 | 1.0860 | 0.5368 | 1.0860 | 1.0421 |
| No log | 8.7692 | 456 | 1.1605 | 0.5368 | 1.1605 | 1.0772 |
| No log | 8.8077 | 458 | 1.3696 | 0.4745 | 1.3696 | 1.1703 |
| No log | 8.8462 | 460 | 1.4262 | 0.4851 | 1.4262 | 1.1942 |
| No log | 8.8846 | 462 | 1.2857 | 0.5402 | 1.2857 | 1.1339 |
| No log | 8.9231 | 464 | 1.1939 | 0.5665 | 1.1939 | 1.0926 |
| No log | 8.9615 | 466 | 1.1862 | 0.5580 | 1.1862 | 1.0891 |
| No log | 9.0 | 468 | 1.2342 | 0.5666 | 1.2342 | 1.1110 |
| No log | 9.0385 | 470 | 1.2930 | 0.5542 | 1.2930 | 1.1371 |
| No log | 9.0769 | 472 | 1.3989 | 0.4954 | 1.3989 | 1.1828 |
| No log | 9.1154 | 474 | 1.3653 | 0.4746 | 1.3653 | 1.1685 |
| No log | 9.1538 | 476 | 1.2061 | 0.5359 | 1.2061 | 1.0982 |
| No log | 9.1923 | 478 | 1.0327 | 0.5798 | 1.0327 | 1.0162 |
| No log | 9.2308 | 480 | 0.9887 | 0.6177 | 0.9887 | 0.9944 |
| No log | 9.2692 | 482 | 0.9891 | 0.6359 | 0.9891 | 0.9945 |
| No log | 9.3077 | 484 | 1.0127 | 0.6327 | 1.0127 | 1.0063 |
| No log | 9.3462 | 486 | 1.0364 | 0.6137 | 1.0364 | 1.0180 |
| No log | 9.3846 | 488 | 1.1265 | 0.5403 | 1.1265 | 1.0613 |
| No log | 9.4231 | 490 | 1.0958 | 0.5583 | 1.0958 | 1.0468 |
| No log | 9.4615 | 492 | 0.9673 | 0.5221 | 0.9673 | 0.9835 |
| No log | 9.5 | 494 | 0.9208 | 0.5661 | 0.9208 | 0.9596 |
| No log | 9.5385 | 496 | 0.8924 | 0.5741 | 0.8924 | 0.9447 |
| No log | 9.5769 | 498 | 0.8981 | 0.5462 | 0.8981 | 0.9477 |
| 0.4082 | 9.6154 | 500 | 0.9095 | 0.5404 | 0.9095 | 0.9537 |
| 0.4082 | 9.6538 | 502 | 0.8979 | 0.5875 | 0.8979 | 0.9476 |
| 0.4082 | 9.6923 | 504 | 0.9436 | 0.5812 | 0.9436 | 0.9714 |
| 0.4082 | 9.7308 | 506 | 1.0550 | 0.5622 | 1.0550 | 1.0271 |
| 0.4082 | 9.7692 | 508 | 1.2504 | 0.5258 | 1.2504 | 1.1182 |
| 0.4082 | 9.8077 | 510 | 1.2622 | 0.5008 | 1.2622 | 1.1235 |
| 0.4082 | 9.8462 | 512 | 1.1213 | 0.5226 | 1.1213 | 1.0589 |
| 0.4082 | 9.8846 | 514 | 0.9580 | 0.5640 | 0.9580 | 0.9788 |
| 0.4082 | 9.9231 | 516 | 0.8430 | 0.5935 | 0.8430 | 0.9181 |
| 0.4082 | 9.9615 | 518 | 0.8141 | 0.5982 | 0.8141 | 0.9023 |
| 0.4082 | 10.0 | 520 | 0.8478 | 0.6067 | 0.8478 | 0.9208 |
| 0.4082 | 10.0385 | 522 | 0.9375 | 0.5508 | 0.9375 | 0.9683 |
| 0.4082 | 10.0769 | 524 | 0.9762 | 0.5828 | 0.9762 | 0.9880 |
| 0.4082 | 10.1154 | 526 | 1.0339 | 0.5777 | 1.0339 | 1.0168 |
| 0.4082 | 10.1538 | 528 | 1.0752 | 0.5846 | 1.0751 | 1.0369 |
| 0.4082 | 10.1923 | 530 | 0.9774 | 0.6139 | 0.9774 | 0.9886 |
| 0.4082 | 10.2308 | 532 | 0.9090 | 0.6451 | 0.9090 | 0.9534 |
| 0.4082 | 10.2692 | 534 | 0.9173 | 0.6265 | 0.9173 | 0.9578 |
| 0.4082 | 10.3077 | 536 | 0.9770 | 0.5312 | 0.9770 | 0.9884 |
| 0.4082 | 10.3462 | 538 | 1.0792 | 0.5058 | 1.0792 | 1.0389 |
| 0.4082 | 10.3846 | 540 | 1.2196 | 0.4503 | 1.2196 | 1.1043 |
| 0.4082 | 10.4231 | 542 | 1.2209 | 0.4451 | 1.2209 | 1.1049 |
| 0.4082 | 10.4615 | 544 | 1.1151 | 0.4725 | 1.1151 | 1.0560 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02