Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_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_run3_AugV5_k19_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_run3_AugV5_k19_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_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: 0.9750
- Qwk: 0.5488
- Mse: 0.9750
- Rmse: 0.9874
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 | 0.0217 | 2 | 5.1816 | -0.0433 | 5.1816 | 2.2763 |
| No log | 0.0435 | 4 | 3.1340 | 0.0459 | 3.1340 | 1.7703 |
| No log | 0.0652 | 6 | 2.8672 | -0.1482 | 2.8672 | 1.6933 |
| No log | 0.0870 | 8 | 2.4576 | -0.1765 | 2.4576 | 1.5677 |
| No log | 0.1087 | 10 | 1.7254 | -0.0209 | 1.7254 | 1.3135 |
| No log | 0.1304 | 12 | 1.6879 | -0.1017 | 1.6879 | 1.2992 |
| No log | 0.1522 | 14 | 1.2784 | 0.1328 | 1.2784 | 1.1307 |
| No log | 0.1739 | 16 | 1.2868 | 0.2309 | 1.2868 | 1.1344 |
| No log | 0.1957 | 18 | 1.7652 | 0.1185 | 1.7652 | 1.3286 |
| No log | 0.2174 | 20 | 1.5770 | 0.1860 | 1.5770 | 1.2558 |
| No log | 0.2391 | 22 | 1.1876 | 0.3311 | 1.1876 | 1.0898 |
| No log | 0.2609 | 24 | 1.0547 | 0.3478 | 1.0547 | 1.0270 |
| No log | 0.2826 | 26 | 0.9919 | 0.3523 | 0.9919 | 0.9959 |
| No log | 0.3043 | 28 | 0.9767 | 0.3877 | 0.9767 | 0.9883 |
| No log | 0.3261 | 30 | 1.0819 | 0.4657 | 1.0819 | 1.0401 |
| No log | 0.3478 | 32 | 1.2811 | 0.3673 | 1.2811 | 1.1318 |
| No log | 0.3696 | 34 | 1.1860 | 0.4202 | 1.1860 | 1.0890 |
| No log | 0.3913 | 36 | 1.0639 | 0.4833 | 1.0639 | 1.0315 |
| No log | 0.4130 | 38 | 0.9582 | 0.4946 | 0.9582 | 0.9789 |
| No log | 0.4348 | 40 | 0.8110 | 0.5136 | 0.8110 | 0.9006 |
| No log | 0.4565 | 42 | 0.7930 | 0.4825 | 0.7930 | 0.8905 |
| No log | 0.4783 | 44 | 0.8010 | 0.5021 | 0.8010 | 0.8950 |
| No log | 0.5 | 46 | 0.7880 | 0.5654 | 0.7880 | 0.8877 |
| No log | 0.5217 | 48 | 0.9704 | 0.5856 | 0.9704 | 0.9851 |
| No log | 0.5435 | 50 | 0.9107 | 0.5662 | 0.9107 | 0.9543 |
| No log | 0.5652 | 52 | 0.7835 | 0.5412 | 0.7835 | 0.8851 |
| No log | 0.5870 | 54 | 0.8204 | 0.5342 | 0.8204 | 0.9057 |
| No log | 0.6087 | 56 | 1.1383 | 0.5139 | 1.1383 | 1.0669 |
| No log | 0.6304 | 58 | 1.1360 | 0.4837 | 1.1360 | 1.0658 |
| No log | 0.6522 | 60 | 0.8084 | 0.4322 | 0.8084 | 0.8991 |
| No log | 0.6739 | 62 | 0.8170 | 0.4583 | 0.8170 | 0.9039 |
| No log | 0.6957 | 64 | 1.2047 | 0.2646 | 1.2047 | 1.0976 |
| No log | 0.7174 | 66 | 1.2075 | 0.2552 | 1.2075 | 1.0988 |
| No log | 0.7391 | 68 | 0.8665 | 0.3941 | 0.8665 | 0.9308 |
| No log | 0.7609 | 70 | 0.8261 | 0.4511 | 0.8261 | 0.9089 |
| No log | 0.7826 | 72 | 0.9347 | 0.4306 | 0.9347 | 0.9668 |
| No log | 0.8043 | 74 | 0.8046 | 0.4691 | 0.8046 | 0.8970 |
| No log | 0.8261 | 76 | 0.7527 | 0.5804 | 0.7527 | 0.8676 |
| No log | 0.8478 | 78 | 1.0849 | 0.3296 | 1.0849 | 1.0416 |
| No log | 0.8696 | 80 | 1.1966 | 0.3069 | 1.1966 | 1.0939 |
| No log | 0.8913 | 82 | 0.9135 | 0.4592 | 0.9135 | 0.9558 |
| No log | 0.9130 | 84 | 0.7163 | 0.6029 | 0.7163 | 0.8463 |
| No log | 0.9348 | 86 | 0.9490 | 0.5518 | 0.9490 | 0.9742 |
| No log | 0.9565 | 88 | 1.3453 | 0.3980 | 1.3453 | 1.1599 |
| No log | 0.9783 | 90 | 1.2666 | 0.4476 | 1.2666 | 1.1254 |
| No log | 1.0 | 92 | 0.8962 | 0.5470 | 0.8962 | 0.9467 |
| No log | 1.0217 | 94 | 0.6687 | 0.6419 | 0.6687 | 0.8177 |
| No log | 1.0435 | 96 | 0.8427 | 0.5716 | 0.8427 | 0.9180 |
| No log | 1.0652 | 98 | 0.9698 | 0.4814 | 0.9698 | 0.9848 |
| No log | 1.0870 | 100 | 0.8384 | 0.5333 | 0.8384 | 0.9157 |
| No log | 1.1087 | 102 | 0.6561 | 0.6317 | 0.6561 | 0.8100 |
| No log | 1.1304 | 104 | 0.7011 | 0.6755 | 0.7011 | 0.8373 |
| No log | 1.1522 | 106 | 0.8370 | 0.5826 | 0.8370 | 0.9149 |
| No log | 1.1739 | 108 | 0.7830 | 0.6058 | 0.7830 | 0.8849 |
| No log | 1.1957 | 110 | 0.6570 | 0.6690 | 0.6570 | 0.8105 |
| No log | 1.2174 | 112 | 0.7145 | 0.6454 | 0.7145 | 0.8453 |
| No log | 1.2391 | 114 | 0.7888 | 0.5920 | 0.7888 | 0.8881 |
| No log | 1.2609 | 116 | 0.7168 | 0.6224 | 0.7168 | 0.8466 |
| No log | 1.2826 | 118 | 0.6785 | 0.6346 | 0.6785 | 0.8237 |
| No log | 1.3043 | 120 | 0.6684 | 0.6342 | 0.6684 | 0.8176 |
| No log | 1.3261 | 122 | 0.7055 | 0.5882 | 0.7055 | 0.8400 |
| No log | 1.3478 | 124 | 0.7084 | 0.5716 | 0.7084 | 0.8417 |
| No log | 1.3696 | 126 | 0.7045 | 0.5753 | 0.7045 | 0.8393 |
| No log | 1.3913 | 128 | 0.7944 | 0.5245 | 0.7944 | 0.8913 |
| No log | 1.4130 | 130 | 0.8910 | 0.5138 | 0.8910 | 0.9439 |
| No log | 1.4348 | 132 | 0.8691 | 0.4595 | 0.8691 | 0.9323 |
| No log | 1.4565 | 134 | 0.8288 | 0.4557 | 0.8288 | 0.9104 |
| No log | 1.4783 | 136 | 0.7616 | 0.5029 | 0.7616 | 0.8727 |
| No log | 1.5 | 138 | 0.7849 | 0.4512 | 0.7849 | 0.8859 |
| No log | 1.5217 | 140 | 0.8366 | 0.4852 | 0.8366 | 0.9147 |
| No log | 1.5435 | 142 | 0.8473 | 0.4950 | 0.8473 | 0.9205 |
| No log | 1.5652 | 144 | 0.9173 | 0.4659 | 0.9173 | 0.9578 |
| No log | 1.5870 | 146 | 0.9465 | 0.4521 | 0.9465 | 0.9729 |
| No log | 1.6087 | 148 | 0.8884 | 0.4654 | 0.8884 | 0.9426 |
| No log | 1.6304 | 150 | 0.8668 | 0.4887 | 0.8668 | 0.9310 |
| No log | 1.6522 | 152 | 0.8739 | 0.5121 | 0.8739 | 0.9348 |
| No log | 1.6739 | 154 | 0.9053 | 0.5345 | 0.9053 | 0.9515 |
| No log | 1.6957 | 156 | 0.9613 | 0.5208 | 0.9613 | 0.9805 |
| No log | 1.7174 | 158 | 0.9711 | 0.5419 | 0.9711 | 0.9855 |
| No log | 1.7391 | 160 | 0.8882 | 0.5143 | 0.8882 | 0.9424 |
| No log | 1.7609 | 162 | 0.8500 | 0.4479 | 0.8500 | 0.9220 |
| No log | 1.7826 | 164 | 0.8180 | 0.4882 | 0.8180 | 0.9045 |
| No log | 1.8043 | 166 | 0.7850 | 0.5482 | 0.7850 | 0.8860 |
| No log | 1.8261 | 168 | 0.7564 | 0.5533 | 0.7564 | 0.8697 |
| No log | 1.8478 | 170 | 0.7473 | 0.5465 | 0.7473 | 0.8644 |
| No log | 1.8696 | 172 | 0.8031 | 0.5666 | 0.8031 | 0.8961 |
| No log | 1.8913 | 174 | 0.8994 | 0.5936 | 0.8994 | 0.9483 |
| No log | 1.9130 | 176 | 0.8905 | 0.6175 | 0.8905 | 0.9437 |
| No log | 1.9348 | 178 | 0.7735 | 0.6042 | 0.7735 | 0.8795 |
| No log | 1.9565 | 180 | 0.6894 | 0.6026 | 0.6894 | 0.8303 |
| No log | 1.9783 | 182 | 1.0128 | 0.4183 | 1.0128 | 1.0064 |
| No log | 2.0 | 184 | 1.1890 | 0.3479 | 1.1890 | 1.0904 |
| No log | 2.0217 | 186 | 0.9326 | 0.5716 | 0.9326 | 0.9657 |
| No log | 2.0435 | 188 | 0.7052 | 0.6988 | 0.7052 | 0.8397 |
| No log | 2.0652 | 190 | 0.6934 | 0.6912 | 0.6934 | 0.8327 |
| No log | 2.0870 | 192 | 0.7159 | 0.6845 | 0.7159 | 0.8461 |
| No log | 2.1087 | 194 | 0.6802 | 0.6508 | 0.6802 | 0.8247 |
| No log | 2.1304 | 196 | 0.7444 | 0.6124 | 0.7444 | 0.8628 |
| No log | 2.1522 | 198 | 1.0095 | 0.4986 | 1.0095 | 1.0047 |
| No log | 2.1739 | 200 | 1.1654 | 0.4775 | 1.1654 | 1.0795 |
| No log | 2.1957 | 202 | 1.1749 | 0.3421 | 1.1749 | 1.0839 |
| No log | 2.2174 | 204 | 0.9973 | 0.4202 | 0.9973 | 0.9987 |
| No log | 2.2391 | 206 | 0.8059 | 0.5646 | 0.8059 | 0.8977 |
| No log | 2.2609 | 208 | 0.7230 | 0.5733 | 0.7230 | 0.8503 |
| No log | 2.2826 | 210 | 0.7135 | 0.5906 | 0.7135 | 0.8447 |
| No log | 2.3043 | 212 | 0.7027 | 0.6141 | 0.7027 | 0.8383 |
| No log | 2.3261 | 214 | 0.7407 | 0.6406 | 0.7407 | 0.8607 |
| No log | 2.3478 | 216 | 0.8938 | 0.5236 | 0.8938 | 0.9454 |
| No log | 2.3696 | 218 | 0.9587 | 0.5333 | 0.9587 | 0.9791 |
| No log | 2.3913 | 220 | 0.8727 | 0.5600 | 0.8727 | 0.9342 |
| No log | 2.4130 | 222 | 0.7887 | 0.6135 | 0.7887 | 0.8881 |
| No log | 2.4348 | 224 | 0.7689 | 0.6375 | 0.7689 | 0.8769 |
| No log | 2.4565 | 226 | 0.7603 | 0.6937 | 0.7603 | 0.8719 |
| No log | 2.4783 | 228 | 0.7550 | 0.6893 | 0.7550 | 0.8689 |
| No log | 2.5 | 230 | 0.7352 | 0.6779 | 0.7352 | 0.8574 |
| No log | 2.5217 | 232 | 0.7535 | 0.6902 | 0.7535 | 0.8680 |
| No log | 2.5435 | 234 | 0.8021 | 0.6137 | 0.8021 | 0.8956 |
| No log | 2.5652 | 236 | 0.9417 | 0.5393 | 0.9417 | 0.9704 |
| No log | 2.5870 | 238 | 1.0006 | 0.5462 | 1.0006 | 1.0003 |
| No log | 2.6087 | 240 | 0.9502 | 0.5776 | 0.9502 | 0.9748 |
| No log | 2.6304 | 242 | 0.8832 | 0.6098 | 0.8832 | 0.9398 |
| No log | 2.6522 | 244 | 0.7795 | 0.6735 | 0.7795 | 0.8829 |
| No log | 2.6739 | 246 | 0.7446 | 0.6890 | 0.7446 | 0.8629 |
| No log | 2.6957 | 248 | 0.7463 | 0.7007 | 0.7463 | 0.8639 |
| No log | 2.7174 | 250 | 0.7833 | 0.6963 | 0.7833 | 0.8850 |
| No log | 2.7391 | 252 | 0.8150 | 0.6464 | 0.8150 | 0.9028 |
| No log | 2.7609 | 254 | 0.7947 | 0.6832 | 0.7947 | 0.8914 |
| No log | 2.7826 | 256 | 0.8068 | 0.6777 | 0.8068 | 0.8982 |
| No log | 2.8043 | 258 | 0.8549 | 0.6447 | 0.8549 | 0.9246 |
| No log | 2.8261 | 260 | 0.8863 | 0.6332 | 0.8863 | 0.9414 |
| No log | 2.8478 | 262 | 0.8685 | 0.6065 | 0.8685 | 0.9320 |
| No log | 2.8696 | 264 | 0.7826 | 0.6242 | 0.7826 | 0.8847 |
| No log | 2.8913 | 266 | 0.7458 | 0.6648 | 0.7458 | 0.8636 |
| No log | 2.9130 | 268 | 0.7516 | 0.6428 | 0.7516 | 0.8670 |
| No log | 2.9348 | 270 | 0.7576 | 0.6556 | 0.7576 | 0.8704 |
| No log | 2.9565 | 272 | 0.8149 | 0.6653 | 0.8149 | 0.9027 |
| No log | 2.9783 | 274 | 0.8548 | 0.6252 | 0.8548 | 0.9245 |
| No log | 3.0 | 276 | 0.8463 | 0.6327 | 0.8463 | 0.9199 |
| No log | 3.0217 | 278 | 0.8302 | 0.6441 | 0.8302 | 0.9111 |
| No log | 3.0435 | 280 | 0.9112 | 0.6042 | 0.9112 | 0.9545 |
| No log | 3.0652 | 282 | 1.0200 | 0.5477 | 1.0200 | 1.0100 |
| No log | 3.0870 | 284 | 0.9369 | 0.5695 | 0.9369 | 0.9679 |
| No log | 3.1087 | 286 | 0.7508 | 0.6428 | 0.7508 | 0.8665 |
| No log | 3.1304 | 288 | 0.7001 | 0.6235 | 0.7001 | 0.8367 |
| No log | 3.1522 | 290 | 0.7189 | 0.6481 | 0.7189 | 0.8479 |
| No log | 3.1739 | 292 | 0.7066 | 0.6466 | 0.7066 | 0.8406 |
| No log | 3.1957 | 294 | 0.7088 | 0.6857 | 0.7088 | 0.8419 |
| No log | 3.2174 | 296 | 0.6732 | 0.7169 | 0.6732 | 0.8205 |
| No log | 3.2391 | 298 | 0.6794 | 0.7311 | 0.6794 | 0.8243 |
| No log | 3.2609 | 300 | 0.6833 | 0.7310 | 0.6833 | 0.8266 |
| No log | 3.2826 | 302 | 0.6937 | 0.7133 | 0.6937 | 0.8329 |
| No log | 3.3043 | 304 | 0.6845 | 0.7318 | 0.6845 | 0.8273 |
| No log | 3.3261 | 306 | 0.6609 | 0.7251 | 0.6609 | 0.8130 |
| No log | 3.3478 | 308 | 0.6751 | 0.6950 | 0.6751 | 0.8216 |
| No log | 3.3696 | 310 | 0.7320 | 0.6557 | 0.7320 | 0.8556 |
| No log | 3.3913 | 312 | 0.7100 | 0.6899 | 0.7100 | 0.8426 |
| No log | 3.4130 | 314 | 0.6755 | 0.6983 | 0.6755 | 0.8219 |
| No log | 3.4348 | 316 | 0.6757 | 0.6907 | 0.6757 | 0.8220 |
| No log | 3.4565 | 318 | 0.6898 | 0.6959 | 0.6898 | 0.8306 |
| No log | 3.4783 | 320 | 0.7098 | 0.7111 | 0.7098 | 0.8425 |
| No log | 3.5 | 322 | 0.7154 | 0.7017 | 0.7154 | 0.8458 |
| No log | 3.5217 | 324 | 0.7267 | 0.6913 | 0.7267 | 0.8525 |
| No log | 3.5435 | 326 | 0.6984 | 0.7009 | 0.6984 | 0.8357 |
| No log | 3.5652 | 328 | 0.6930 | 0.6838 | 0.6930 | 0.8325 |
| No log | 3.5870 | 330 | 0.6912 | 0.6749 | 0.6912 | 0.8314 |
| No log | 3.6087 | 332 | 0.6632 | 0.6835 | 0.6632 | 0.8144 |
| No log | 3.6304 | 334 | 0.6689 | 0.6957 | 0.6689 | 0.8179 |
| No log | 3.6522 | 336 | 0.6887 | 0.6860 | 0.6887 | 0.8299 |
| No log | 3.6739 | 338 | 0.6683 | 0.7118 | 0.6683 | 0.8175 |
| No log | 3.6957 | 340 | 0.6857 | 0.7053 | 0.6857 | 0.8281 |
| No log | 3.7174 | 342 | 0.7087 | 0.7065 | 0.7087 | 0.8419 |
| No log | 3.7391 | 344 | 0.7439 | 0.6888 | 0.7439 | 0.8625 |
| No log | 3.7609 | 346 | 0.7798 | 0.6580 | 0.7798 | 0.8831 |
| No log | 3.7826 | 348 | 0.8565 | 0.6176 | 0.8565 | 0.9255 |
| No log | 3.8043 | 350 | 0.8697 | 0.6221 | 0.8697 | 0.9326 |
| No log | 3.8261 | 352 | 0.7700 | 0.6495 | 0.7700 | 0.8775 |
| No log | 3.8478 | 354 | 0.6781 | 0.7103 | 0.6781 | 0.8234 |
| No log | 3.8696 | 356 | 0.6678 | 0.7005 | 0.6678 | 0.8172 |
| No log | 3.8913 | 358 | 0.7109 | 0.6800 | 0.7109 | 0.8432 |
| No log | 3.9130 | 360 | 0.7133 | 0.6854 | 0.7133 | 0.8446 |
| No log | 3.9348 | 362 | 0.6959 | 0.7096 | 0.6959 | 0.8342 |
| No log | 3.9565 | 364 | 0.6836 | 0.7193 | 0.6836 | 0.8268 |
| No log | 3.9783 | 366 | 0.6922 | 0.6994 | 0.6922 | 0.8320 |
| No log | 4.0 | 368 | 0.6984 | 0.7083 | 0.6984 | 0.8357 |
| No log | 4.0217 | 370 | 0.7030 | 0.7172 | 0.7030 | 0.8385 |
| No log | 4.0435 | 372 | 0.6936 | 0.7215 | 0.6936 | 0.8328 |
| No log | 4.0652 | 374 | 0.6803 | 0.7395 | 0.6803 | 0.8248 |
| No log | 4.0870 | 376 | 0.6687 | 0.7071 | 0.6687 | 0.8178 |
| No log | 4.1087 | 378 | 0.6842 | 0.6867 | 0.6842 | 0.8272 |
| No log | 4.1304 | 380 | 0.6870 | 0.6970 | 0.6870 | 0.8288 |
| No log | 4.1522 | 382 | 0.6727 | 0.7102 | 0.6727 | 0.8202 |
| No log | 4.1739 | 384 | 0.6773 | 0.7274 | 0.6773 | 0.8230 |
| No log | 4.1957 | 386 | 0.6906 | 0.7311 | 0.6906 | 0.8310 |
| No log | 4.2174 | 388 | 0.7069 | 0.6976 | 0.7069 | 0.8408 |
| No log | 4.2391 | 390 | 0.7122 | 0.6772 | 0.7122 | 0.8439 |
| No log | 4.2609 | 392 | 0.6968 | 0.6595 | 0.6968 | 0.8347 |
| No log | 4.2826 | 394 | 0.6884 | 0.6659 | 0.6884 | 0.8297 |
| No log | 4.3043 | 396 | 0.6911 | 0.6365 | 0.6911 | 0.8313 |
| No log | 4.3261 | 398 | 0.7208 | 0.6501 | 0.7208 | 0.8490 |
| No log | 4.3478 | 400 | 0.7648 | 0.6341 | 0.7648 | 0.8746 |
| No log | 4.3696 | 402 | 0.7828 | 0.6307 | 0.7828 | 0.8848 |
| No log | 4.3913 | 404 | 0.7520 | 0.6317 | 0.7520 | 0.8672 |
| No log | 4.4130 | 406 | 0.7399 | 0.6403 | 0.7399 | 0.8602 |
| No log | 4.4348 | 408 | 0.7723 | 0.6191 | 0.7723 | 0.8788 |
| No log | 4.4565 | 410 | 0.7813 | 0.6270 | 0.7813 | 0.8839 |
| No log | 4.4783 | 412 | 0.7333 | 0.6365 | 0.7333 | 0.8564 |
| No log | 4.5 | 414 | 0.7036 | 0.6333 | 0.7036 | 0.8388 |
| No log | 4.5217 | 416 | 0.6954 | 0.6353 | 0.6954 | 0.8339 |
| No log | 4.5435 | 418 | 0.6908 | 0.6570 | 0.6908 | 0.8312 |
| No log | 4.5652 | 420 | 0.7075 | 0.6721 | 0.7075 | 0.8411 |
| No log | 4.5870 | 422 | 0.7911 | 0.6443 | 0.7911 | 0.8894 |
| No log | 4.6087 | 424 | 0.8264 | 0.6565 | 0.8264 | 0.9091 |
| No log | 4.6304 | 426 | 0.7706 | 0.6719 | 0.7706 | 0.8778 |
| No log | 4.6522 | 428 | 0.7147 | 0.6719 | 0.7147 | 0.8454 |
| No log | 4.6739 | 430 | 0.6981 | 0.6765 | 0.6981 | 0.8355 |
| No log | 4.6957 | 432 | 0.7448 | 0.6472 | 0.7448 | 0.8630 |
| No log | 4.7174 | 434 | 0.7455 | 0.6113 | 0.7455 | 0.8634 |
| No log | 4.7391 | 436 | 0.6956 | 0.6577 | 0.6956 | 0.8340 |
| No log | 4.7609 | 438 | 0.6908 | 0.6767 | 0.6908 | 0.8311 |
| No log | 4.7826 | 440 | 0.7895 | 0.6703 | 0.7895 | 0.8885 |
| No log | 4.8043 | 442 | 0.8194 | 0.6603 | 0.8194 | 0.9052 |
| No log | 4.8261 | 444 | 0.7607 | 0.6682 | 0.7607 | 0.8722 |
| No log | 4.8478 | 446 | 0.7138 | 0.7143 | 0.7138 | 0.8449 |
| No log | 4.8696 | 448 | 0.7136 | 0.6980 | 0.7136 | 0.8447 |
| No log | 4.8913 | 450 | 0.7084 | 0.6949 | 0.7084 | 0.8417 |
| No log | 4.9130 | 452 | 0.6728 | 0.7061 | 0.6728 | 0.8202 |
| No log | 4.9348 | 454 | 0.6836 | 0.6631 | 0.6836 | 0.8268 |
| No log | 4.9565 | 456 | 0.7394 | 0.6603 | 0.7394 | 0.8599 |
| No log | 4.9783 | 458 | 0.7525 | 0.6776 | 0.7525 | 0.8675 |
| No log | 5.0 | 460 | 0.7337 | 0.6772 | 0.7337 | 0.8566 |
| No log | 5.0217 | 462 | 0.6995 | 0.6840 | 0.6995 | 0.8364 |
| No log | 5.0435 | 464 | 0.6831 | 0.7076 | 0.6831 | 0.8265 |
| No log | 5.0652 | 466 | 0.6832 | 0.7172 | 0.6832 | 0.8266 |
| No log | 5.0870 | 468 | 0.6875 | 0.7187 | 0.6875 | 0.8291 |
| No log | 5.1087 | 470 | 0.6943 | 0.7180 | 0.6943 | 0.8333 |
| No log | 5.1304 | 472 | 0.7182 | 0.6931 | 0.7182 | 0.8475 |
| No log | 5.1522 | 474 | 0.7463 | 0.6993 | 0.7463 | 0.8639 |
| No log | 5.1739 | 476 | 0.7140 | 0.6931 | 0.7140 | 0.8450 |
| No log | 5.1957 | 478 | 0.6872 | 0.7047 | 0.6872 | 0.8290 |
| No log | 5.2174 | 480 | 0.6666 | 0.7325 | 0.6666 | 0.8165 |
| No log | 5.2391 | 482 | 0.6585 | 0.7325 | 0.6585 | 0.8115 |
| No log | 5.2609 | 484 | 0.6485 | 0.7274 | 0.6485 | 0.8053 |
| No log | 5.2826 | 486 | 0.6532 | 0.6835 | 0.6532 | 0.8082 |
| No log | 5.3043 | 488 | 0.6819 | 0.6721 | 0.6819 | 0.8258 |
| No log | 5.3261 | 490 | 0.7098 | 0.6460 | 0.7098 | 0.8425 |
| No log | 5.3478 | 492 | 0.7203 | 0.6095 | 0.7203 | 0.8487 |
| No log | 5.3696 | 494 | 0.7090 | 0.5950 | 0.7090 | 0.8420 |
| No log | 5.3913 | 496 | 0.6929 | 0.6149 | 0.6929 | 0.8324 |
| No log | 5.4130 | 498 | 0.6865 | 0.6493 | 0.6865 | 0.8286 |
| 0.4519 | 5.4348 | 500 | 0.6839 | 0.6786 | 0.6839 | 0.8270 |
| 0.4519 | 5.4565 | 502 | 0.6712 | 0.7000 | 0.6712 | 0.8193 |
| 0.4519 | 5.4783 | 504 | 0.6601 | 0.6914 | 0.6601 | 0.8124 |
| 0.4519 | 5.5 | 506 | 0.6680 | 0.6854 | 0.6680 | 0.8173 |
| 0.4519 | 5.5217 | 508 | 0.6658 | 0.6973 | 0.6658 | 0.8160 |
| 0.4519 | 5.5435 | 510 | 0.6624 | 0.6883 | 0.6624 | 0.8139 |
| 0.4519 | 5.5652 | 512 | 0.6650 | 0.6874 | 0.6650 | 0.8155 |
| 0.4519 | 5.5870 | 514 | 0.6757 | 0.6886 | 0.6757 | 0.8220 |
| 0.4519 | 5.6087 | 516 | 0.6766 | 0.7079 | 0.6766 | 0.8225 |
| 0.4519 | 5.6304 | 518 | 0.6829 | 0.6904 | 0.6829 | 0.8264 |
| 0.4519 | 5.6522 | 520 | 0.6731 | 0.7041 | 0.6731 | 0.8204 |
| 0.4519 | 5.6739 | 522 | 0.6786 | 0.6996 | 0.6786 | 0.8238 |
| 0.4519 | 5.6957 | 524 | 0.7006 | 0.7029 | 0.7006 | 0.8370 |
| 0.4519 | 5.7174 | 526 | 0.7084 | 0.7017 | 0.7084 | 0.8417 |
| 0.4519 | 5.7391 | 528 | 0.7069 | 0.6920 | 0.7069 | 0.8408 |
| 0.4519 | 5.7609 | 530 | 0.7013 | 0.7055 | 0.7013 | 0.8375 |
| 0.4519 | 5.7826 | 532 | 0.7177 | 0.7033 | 0.7177 | 0.8472 |
| 0.4519 | 5.8043 | 534 | 0.7075 | 0.7189 | 0.7075 | 0.8411 |
| 0.4519 | 5.8261 | 536 | 0.7193 | 0.7031 | 0.7193 | 0.8481 |
| 0.4519 | 5.8478 | 538 | 0.7613 | 0.6869 | 0.7613 | 0.8725 |
| 0.4519 | 5.8696 | 540 | 0.7989 | 0.6986 | 0.7989 | 0.8938 |
| 0.4519 | 5.8913 | 542 | 0.7662 | 0.7029 | 0.7662 | 0.8753 |
| 0.4519 | 5.9130 | 544 | 0.7588 | 0.6862 | 0.7588 | 0.8711 |
| 0.4519 | 5.9348 | 546 | 0.7607 | 0.6802 | 0.7607 | 0.8722 |
| 0.4519 | 5.9565 | 548 | 0.7456 | 0.6779 | 0.7456 | 0.8635 |
| 0.4519 | 5.9783 | 550 | 0.8080 | 0.6219 | 0.8080 | 0.8989 |
| 0.4519 | 6.0 | 552 | 0.9252 | 0.5889 | 0.9252 | 0.9619 |
| 0.4519 | 6.0217 | 554 | 0.9885 | 0.5693 | 0.9885 | 0.9942 |
| 0.4519 | 6.0435 | 556 | 0.9750 | 0.5488 | 0.9750 | 0.9874 |
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_run3_AugV5_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02